apply
Run 3e0db615
experiment-clean-result-for:65147af5-8234-4f39-ba73-8050bbc9ccbc
Statuscompleted182 events · latest 1334h 37m ago
RunPod lifecycle
Stop requests preserve the attached RunPod volume.
modelverifiedhttps://huggingface.co/superkaiba1/explore-persona-space/tree/main/issue-170
eval_resultsverifiedhttps://huggingface.co/superkaiba1/explore-persona-space/resolve/main/issue-170/eval_rollup.json
codeverifiedhttps://github.com/superkaiba/explore-persona-space/blob/fa37318/scripts/run_soft_prefix.py
eval_resultsverifiedhttps://github.com/superkaiba/explore-persona-space/blob/0d4195f/scripts/run_alignment_eval.py
datasetverifiedhttps://huggingface.co/datasets/superkaiba1/explore-persona-space-data/tree/main/issue_111_artifacts
eval_resultsverifiedhttps://github.com/superkaiba/explore-persona-space/blob/main/eval_results/issue-240/eval_rollup.json
Events
12:28:12 AMstartedagent
kind=apply
12:28:32 AMtool_calltools
tool=Bash
Bash
12:28:33 AMtool_resulttools
{"experiment":{"id":"65147af5-8234-4f39-ba73-8050bbc9ccbc","number":215,"legacyGhNumber":215,"beliefId":null,"projectId":null,"title":"Only continuous soft prefixes hit both EM axes at once on Qwen-2.5-7B-Instruct: discrete prompt searches split between the alignment objective and the distributional objective, and both discretizations of the soft prefix collapse (MODERATE confidence)","body":"<style>\n.cr-215 { max-width: 760px; margin: 0 auto; font-family: -apple-system, BlinkMacSystemFont, \"Segoe UI\", system-ui, sans-serif; line-height: 1.55; color: #1c1c1c; }\n.cr-215 h2 { font-size: 1.15rem; margin: 1.4rem 0 0.6rem; }\n.cr-215 ul { padding-left: 1.3rem; }\n.cr-215 li { margin: 0.35rem 0; }\n.cr-215 figure { margin: 1.2rem 0; }\n.cr-215 figure svg { display: block; margin: 0 auto; max-width: 100%; height: auto; background: #fff; }\n.cr-215 figcaption { margin-top: 0.6rem; font-size: 0.92rem; color: #444; }\n.cr-215 details { margin: 1rem 0; border: 1px solid #e5e5e5; border-radius: 6px; background: #fafafa; }\n.cr-215 details > summary { padding: 0.6rem 0.9rem; cursor: pointer; font-weight: 600; }\n.cr-215 details > div { padding: 0.2rem 1rem 1rem; }\n.cr-215 pre { background: #f1f1f1; padding: 0.75rem; border-radius: 4px; font-size: 0.85rem; overflow-x: auto; white-space: pre-wrap; }\n.cr-215 table.setup { border-collapse: collapse; margin: 0.8rem 0; font-size: 0.88rem; }\n.cr-215 table.setup th, .cr-215 table.setup td { padding: 0.5rem 0.8rem; border-bottom: 1px solid #e5e5e5; vertical-align: top; }\n.cr-215 table.setup th { text-align: left; background: #f1f1f1; border-right: 1px solid #e5e5e5; font-weight: 600; width: 35%; }\n.cr-215 table.data { border-collapse: collapse; margin: 0.8rem 0; font-size: 0.88rem; width: 100%; }\n.cr-215 table.data th, .cr-215 table.data td { padding: 0.45rem 0.7rem; border-bottom: 1px solid #e5e5e5; }\n.cr-215 table.data th { text-align: left; background: #f1f1f1; font-weight: 600; }\n.cr-215 code { background: #efefef; padding: 0.05rem 0.3rem; border-radius: 3px; font-size: 0.88em; }\n</style>\n\n<div class=\"cr-215\">\n\n<section id=\"tldr\">\n<h2>TL;DR</h2>\n<ul>\n <li><strong>Motivation.</strong> The Betley emergent-misalignment (EM) papers show that finetuning Qwen-2.5-7B-Instruct on 6k bad-legal-advice prompts drives a broadly-misaligned model (alignment score α drops from 88.82 to 28.21 on a 52-prompt Betley+Wang panel). An earlier null result on this repo (<a href=\"https://github.com/superkaiba/explore-persona-space/issues/94\">#94</a>: 250-step nanoGCG, α stuck at 73-88) left open whether the prompt channel <em>can't</em> reach that behavior or just hadn't been searched the right way. I ran five sub-experiments at increasing prompt expressiveness to bracket the answer (<a href=\"https://github.com/superkaiba/explore-persona-space/issues/98\">#98</a>, <a href=\"https://github.com/superkaiba/explore-persona-space/issues/111\">#111</a>, <a href=\"https://github.com/superkaiba/explore-persona-space/issues/171\">#171</a>, <a href=\"https://github.com/superkaiba/explore-persona-space/issues/215\">#215</a>, <a href=\"https://github.com/superkaiba/explore-persona-space/issues/240\">#240</a>).</li>\n <li><strong>What I ran.</strong> Three discrete typeable-prompt searches against a frozen Qwen-2.5-7B-Instruct with different fitness objectives: PAIR + EvoPrompt minimizing alignment score (#98), Grid + PAIR-distributional + Joint maximizing held-out distributional match to the EM finetune's outputs (#111), and cross-evaluation of the distributional winners under the alignment metric (#171). Then I dropped the typeability constraint and trained K-token continuous soft prefixes (K ∈ {16, 32, 64}, prepended to <code>inputs_embeds</code>) against fresh EM-teacher completions (#215). Finally, I tried to extract the soft prefix back to typeable tokens two ways: L2-projection to nearest vocabulary token, and from-scratch system-slot greedy-coordinate-gradient search (#240). Sa…12:28:39 AMtool_calltools
tool=Bash
Bash
12:28:39 AMtool_resulttools
57457 /tmp/exp215.json
12:28:45 AMtool_calltools
tool=Bash
Bash
12:28:45 AMtool_resulttools
id: 65147af5-8234-4f39-ba73-8050bbc9ccbc number: 215 status: clean_result_drafting title: Only continuous soft prefixes hit both EM axes at once on Qwen-2.5-7B-Instruct: discrete prompt searches split between t --- runs count: 0 --- artifacts count: 0 --- top-level keys: ['experiment', 'events', 'approvalRequests']
12:28:50 AMtool_calltools
tool=Bash
Bash
12:28:51 AMtool_resulttools
experiment keys: ['id', 'number', 'legacyGhNumber', 'beliefId', 'projectId', 'title', 'body', 'hypothesis', 'planMd', 'planJson', 'podSpec', 'configYaml', 'status', 'kind', 'computeSize', 'priority', 'assigneeKind', 'tags', 'hasCleanResult', 'autoApprovePlan', 'parentExperimentId', 'runpodAccount', 'convertedToKind', 'convertedToId', 'createdAt', 'updatedAt', 'turn'] events count: 8
12:28:57 AMtool_calltools
tool=Bash
Bash
12:28:58 AMtool_resulttools
Exit code 1
Traceback (most recent call last):
File "<string>", line 3, in <module>
File "/usr/lib/python3.10/json/__init__.py", line 293, in load
return loads(fp.read(),
File "/usr/lib/python3.10/json/__init__.py", line 346, in loads
return _default_decoder.decode(s)
File "/usr/lib/python3.10/json/decoder.py", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "/usr/lib/python3.10/json/decoder.py", line 355, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)12:29:02 AMtool_calltools
tool=Bash
Bash
12:29:02 AMtool_resulttools
<!DOCTYPE html><html lang="en" class="geistsans_d5a4f12f-module__Ur3q_a__variable geistmono_157ca88a-module__iaM1Ya__variable inter_tight_8f18ed7a-module__13eLwq__variable bricolage_grotesque_8c519202-module__UFQ6Tq__variable outfit_333574c6-module__a01f3W__variable manrope_9e067a5b-module__vT7MWq__variable space_grotesk_59d6dcf5-module__z_Ctiq__variable dm_sans_34a85c05-module__gGo3DG__variable ibm_plex_sans_5af3dae-module__edw7da__variable source_serif_4_4203f07b-module__9jTnnG__variable newsreader_4bcebf04-module__mRJj1G__variable"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width, initial-scale=1, viewport-fit=cover"/><link rel="stylesheet" href="/_next/static/chunks/07w4.lt4fsvol.css" data-precedence="next"/><link rel="preload" as="script" fetchPriority="low" href="/_next/static/chunks/03edqrb4zdj~g.js"/><script src="/_next/static/chunks/0i0b4ibyj497c.js" async=""></script><script src="/_next/static/chunks/0h69mj-e-ya89.js" async=""></script><script src="/_next/static/chunks/014~e0vao-h-9.js" async=""></script><script src="/_next/static/chunks/0pqt~8bl3ukh4.js" async=""></script><script src="/_next/static/chunks/turbopack-14pofyvch95c_.js" async=""></script><script src="/_next/static/chunks/01xlw8hd842-c.js" async=""></script><script src="/_next/static/chunks/0hs1bisaa29...js" async=""></script><meta name="robots" content="noindex"/><meta name="next-size-adjust" content=""/><title>404: This page could not be found.</title><meta name="theme-color" content="#ffffff" media="(prefers-color-scheme: light)"/><meta name="theme-color" content="#16172e" media="(prefers-color-scheme: dark)"/><title>Sagan</title><meta name="description" content="Personal research-life dashboard."/><link rel="manifest" href="/manifest.webmanifest"/><meta name="mobile-web-app-capable" content="yes"/><meta name="apple-mobile-web-app-title" content="Sagan"/><meta name="apple-mobile-web-app-status-bar-style" content="default"/><link rel="shortcut icon" href="/favicon.png"/><link rel="icon" href="/icon.svg" type="image/svg+xml"/><link rel="icon" href="/favicon.png" sizes="32x32" type="image/png"/><link rel="apple-touch-icon" href="/favicon.png" sizes="32x32"/><script>
(() => {
try {
const choice = window.localStorage.getItem('sagan-theme');
if (choice === 'light' || choice === 'dark') {
document.documentElement.dataset.theme = choice;
} else {
document.documentElement.removeAttribute('data-theme');
}
const font = window.localStorage.getItem('sagan-font');
if (font) {
document.documentElement.dataset.font = font;
}
} catch {}
})();
</script><script src="/_next/static/chunks/03~yq9q893hmn.js" noModule=""></script></head><body class="min-h-screen antialiased"><div hidden=""><!--$--><!--/$--></div><div style="font-family:system-ui,"Segoe UI",Roboto,Helvetica,Arial,sans-serif,"Apple Color Emoji","Segoe UI Emoji";height:100vh;text-align:center;display:flex;flex-direction:column;align-items:center;justify-content:center"><div><style>body{color:#000;background:#fff;margin:0}.next-error-h1{border-right:1px solid rgba(0,0,0,.3)}@media (prefers-color-scheme:dark){body{color:#fff;background:#000}.next-error-h1{border-right:1px solid rgba(255,255,255,.3)}}</style><h1 class="next-error-h1" style="display:inline-block;margin:0 20px 0 0;padding:0 23px 0 0;font-size:24px;font-weight:500;vertical-align:top;line-height:49px">404</h1><div style="display:inline-block"><h2 style="font-size:14px;font-weight:400;line-height:49px;margin:0">This page could not be found.</h2></div></div></div><!--$--><!--/$--><script src="/_next/static/chunks/03edqrb4zdj~g.js" id="_R_" async=""></script><script>(self.__next_f=self.__next_f||[]).push([0])</script><script>self.__next_f.push([1,"1:\"$Sreact.fragment\"\n2:I[39756,[\"/_next/static/chunks/01xlw8hd842-c.js\",\"/_next/static/chunks/0hs1bisaa29...js\"],\"default\"]\n3:I[37457,[\"/_next/static/chunks/01xlw8hd842-c.js\",\"/_next/static…12:29:06 AMtool_calltools
tool=Bash
Bash
12:29:07 AMtool_resulttools
Exit code 2 ls: cannot access 'apps/web/src/app/api/experiments/': No such file or directory
12:29:10 AMtool_calltools
tool=Glob
Glob
12:29:11 AMtool_resulttools
apps/web/app/api/experiments/by-number/[n]/route.ts apps/web/app/api/experiments/[id]/promote/route.ts apps/web/app/api/experiments/[id]/workflow-events/route.ts apps/web/app/api/experiments/[id]/clarification-answers/route.ts apps/web/app/api/experiments/[id]/improve/route.ts apps/web/app/api/experiments/[id]/queue-followups/route.ts apps/web/app/api/experiments/[id]/dispatch-planner/route.ts apps/web/app/api/experiments/[id]/route.ts apps/web/app/api/experiments/route.ts
12:29:14 AMtool_calltools
tool=Bash
Bash
12:29:15 AMtool_resulttools
account admin agent-runs approvals artifacts auth beliefs clean-results collaborators comments conversations daily-log edges entity experiments ideation job-runs kanban lit-items lit-review mentor mobile-builds narratives notifications pipeline project-narratives projects push runpods runs search textbox-answers today todos weekly-digest weekly-digests
12:29:17 AMtool_calltools
tool=Glob
Glob
12:29:19 AMtool_resulttools
apps/web/app/api/runs/[id]/route.ts
12:29:22 AMtool_calltools
tool=Glob
Glob
12:29:24 AMtool_resulttools
apps/web/app/api/artifacts/publish/route.ts
12:29:26 AMtool_calltools
tool=ToolSearch
ToolSearch
12:29:26 AMtool_resulttools
12:29:36 AMtool_calltools
tool=TodoWrite
TodoWrite
12:29:36 AMtool_resulttools
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
12:29:43 AMtool_calltools
tool=Bash
Bash
12:29:48 AMtool_resulttools
keys: ['runs'] count: 50 4a20c200 kind=apply status=queued createdAt=2026-05-14T00:26:04.805Z 3e0db615 kind=apply status=running createdAt=2026-05-14T00:25:38.594Z 580aeda0 kind=apply status=running createdAt=2026-05-14T00:25:32.999Z a46c9aff kind=apply status=running createdAt=2026-05-14T00:25:29.465Z 67f66af5 kind=apply status=running createdAt=2026-05-14T00:25:14.220Z 1b28a36a kind=apply status=running createdAt=2026-05-14T00:24:50.410Z b27eaa73 kind=apply status=running createdAt=2026-05-14T00:24:39.662Z 5971a30a kind=apply status=running createdAt=2026-05-14T00:24:28.356Z 4f83c4bd kind=apply status=running createdAt=2026-05-14T00:24:12.175Z d39a01db kind=apply status=running createdAt=2026-05-14T00:24:10.957Z 059c5f23 kind=apply status=running createdAt=2026-05-14T00:24:00.301Z 5196b06e kind=apply status=running createdAt=2026-05-14T00:23:58.984Z fa98d997 kind=apply status=running createdAt=2026-05-14T00:23:54.072Z 9f269f86 kind=apply status=running createdAt=2026-05-14T00:23:49.665Z 6c82d4c4 kind=apply status=running createdAt=2026-05-14T00:23:37.572Z 37f409d9 kind=apply status=running createdAt=2026-05-14T00:23:32.258Z 54c246aa kind=apply status=running createdAt=2026-05-14T00:22:54.922Z 4b34f390 kind=apply status=running createdAt=2026-05-14T00:22:47.702Z 8da6a762 kind=apply status=running createdAt=2026-05-14T00:22:45.690Z 92e2a935 kind=apply status=running createdAt=2026-05-14T00:21:20.308Z
12:29:53 AMtool_calltools
tool=Read
Read
12:29:53 AMtool_resulttools
1 import { NextResponse } from 'next/server';
2 import { desc, eq, inArray } from 'drizzle-orm';
3 import { z } from 'zod';
4 import { cleanResults, cleanResultVersions, runArtifacts } from '@sagan/db/schema';
5 import { db } from '@/lib/db';
6 import { requireOwner } from '@/lib/access';
7 import { appendDailyLogTrailBestEffort } from '@/lib/daily-log-trail';
8
9 const createSchema = z.object({
10 title: z.string().min(1).max(300),
11 claim: z.string().min(1).max(1000),
12 bodyMd: z.string().min(1).max(100_000),
13 confidence: z.enum(['LOW', 'MODERATE', 'HIGH']).optional(),
14 experimentId: z.string().uuid().optional(),
15 runId: z.string().uuid().optional(),
16 agentRunId: z.string().uuid().optional(),
17 artifactIds: z.array(z.string().uuid()).min(1),
18 });
19
20 export async function GET() {
21 try {
22 await requireOwner();
23 } catch {
24 return NextResponse.json({ error: 'owner_required' }, { status: 403 });
25 }
26 const rows = await db().select().from(cleanResults).orderBy(desc(cleanResults.updatedAt)).limit(100);
27 return NextResponse.json({ cleanResults: rows });
28 }
29
30 export async function POST(req: Request) {
31 let session;
32 try {
33 session = await requireOwner();
34 } catch {
35 return NextResponse.json({ error: 'owner_required' }, { status: 403 });
36 }
37 const body = await req.json().catch(() => null);
38 const parsed = createSchema.safeParse(body);
39 if (!parsed.success) {
40 return NextResponse.json({ error: 'invalid_input', detail: z.treeifyError(parsed.error) }, { status: 400 });
41 }
42
43 const artifactRows = await db()
44 .select()
45 .from(runArtifacts)
46 .where(inArray(runArtifacts.id, parsed.data.artifactIds));
47 if (artifactRows.length !== parsed.data.artifactIds.length) {
48 return NextResponse.json({ error: 'artifact_not_found' }, { status: 400 });
49 }
50 const unverifiable = artifactRows.find((artifact) => !artifact.uri.trim());
51 if (unverifiable) {
52 return NextResponse.json({ error: 'artifact_unverifiable', artifactId: unverifiable.id }, { status: 409 });
53 }
54
55 await db()
56 .update(runArtifacts)
57 .set({ status: 'verified', verifiedAt: new Date(), updatedAt: new Date() })
58 .where(inArray(runArtifacts.id, parsed.data.artifactIds));
59
60 const inserted = await db()
61 .insert(cleanResults)
62 .values({
63 title: parsed.data.title,
64 claim: parsed.data.claim,
65 bodyMd: parsed.data.bodyMd,
66 confidence: parsed.data.confidence,
67 experimentId: parsed.data.experimentId,
68 runId: parsed.data.runId,
69 agentRunId: parsed.data.agentRunId,
70 artifactStatus: 'verified',
71 status: 'draft',
72 })
73 .returning();
74 const cleanResult = inserted[0]!;
75 await db().insert(cleanResultVersions).values({
76 cleanResultId: cleanResult.id,
77 title: cleanResult.title,
78 claim: cleanResult.claim,
79 bodyMd: cleanResult.bodyMd,
80 confidence: cleanResult.confidence,
81 authorKind: 'user',
82 editedBy: session.user.id,
83 });
84 await appendDailyLogTrailBestEffort({
85 action: `Drafted clean result ${cleanResult.id.slice(0, 8)}`,
86 why: 'A verified artifact-backed clean result draft was created.',
87 entityKind: 'clean_result',
88 entityId: cleanResult.id,
89 actorKind: 'user',
90 actorUserId: session.user.id,
91 correlationId: cleanResult.id,
92 });
93
94 return NextResponse.json({ cleanResult, verifiedArtifactIds: artifactRows.map((artifact) => artifact.id) });
95 }
96 12:29:57 AMtool_calltools
tool=Glob
Glob
12:29:59 AMtool_resulttools
apps/web/app/api/runs/[id]/route.ts
12:30:03 AMtool_calltools
tool=Read
Read
12:30:03 AMtool_resulttools
1 import { NextResponse } from 'next/server';
2 import { eq } from 'drizzle-orm';
3 import { z } from 'zod';
4 import { runs } from '@sagan/db/schema';
5 import { db } from '@/lib/db';
6 import { requireSession } from '@/lib/auth';
7 import { appendDailyLogTrailBestEffort } from '@/lib/daily-log-trail';
8
9 const patchSchema = z.object({
10 notesMd: z.string().max(100_000).optional(),
11 configYaml: z.string().max(200_000).optional(),
12 wandbUrl: z.string().url().max(2000).nullable().optional(),
13 hfUrl: z.string().url().max(2000).nullable().optional(),
14 classification: z.enum(['pending', 'useful', 'not_useful', 'archived']).optional(),
15 });
16
17 export async function PATCH(req: Request, ctx: { params: Promise<{ id: string }> }) {
18 let session;
19 try {
20 session = await requireSession();
21 } catch {
22 return NextResponse.json({ error: 'unauthorized' }, { status: 401 });
23 }
24 const { id } = await ctx.params;
25 const body = await req.json().catch(() => null);
26 const parsed = patchSchema.safeParse(body);
27 if (!parsed.success) {
28 return NextResponse.json({ error: 'invalid_input', detail: z.treeifyError(parsed.error) }, { status: 400 });
29 }
30 const updated = await db()
31 .update(runs)
32 .set({ ...parsed.data, updatedAt: new Date() })
33 .where(eq(runs.id, id))
34 .returning({ id: runs.id, experimentId: runs.experimentId });
35 if (!updated[0]) return NextResponse.json({ error: 'not_found' }, { status: 404 });
36
37 await appendDailyLogTrailBestEffort({
38 action: `Updated run ${id.slice(0, 8)}`,
39 why: 'A user edited run notes, links, or classification through the web API.',
40 entityKind: 'run',
41 entityId: id,
42 detail: `Fields: ${Object.keys(parsed.data).join(', ') || '(none)'}`,
43 actorKind: 'user',
44 actorUserId: session.user.id,
45 correlationId: id,
46 });
47
48 return NextResponse.json({ ok: true });
49 }
50 12:30:06 AMtool_calltools
tool=Bash
Bash
12:30:06 AMtool_resulttools
apps/web/app/api/experiments/[id]/promote/route.ts apps/web/app/api/experiments/[id]/dispatch-planner/route.ts apps/web/app/api/experiments/[id]/clarification-answers/route.ts apps/web/app/api/experiments/[id]/workflow-events/route.ts apps/web/app/api/experiments/[id]/improve/route.ts apps/web/app/api/experiments/[id]/route.ts apps/web/app/api/experiments/[id]/queue-followups/route.ts apps/web/app/api/experiments/route.ts apps/web/app/api/experiments/by-number/[n]/route.ts
12:30:09 AMtool_calltools
tool=Read
Read
12:30:09 AMtool_resulttools
1 import { NextResponse } from 'next/server';
2 import { and, desc, eq, sql } from 'drizzle-orm';
3 import { z } from 'zod';
4 import { extractPodSpecFromPlanMd } from '@sagan/api';
5 import { agentRuns, approvalRequests, experiments, runs, workflowEvents } from '@sagan/db/schema';
6 import { db } from '@/lib/db';
7 import { requireOwner } from '@/lib/access';
8 import { appendDailyLogTrailBestEffort } from '@/lib/daily-log-trail';
9 import { EXPERIMENT_STATUSES, experimentTurn, setExperimentStatus } from '@/lib/workflow';
10
11 const EXPERIMENT_CLEAN_RESULT_PREFIX = 'experiment-clean-result-for:';
12 const QUEUED_CHANNEL = 'agent_run_queued';
13
14 const EXPERIMENT_KINDS = ['experiment', 'infra', 'survey'] as const;
15 const COMPUTE_SIZES = ['none', 'small', 'medium', 'large'] as const;
16 const PRIORITIES = ['low', 'normal', 'high', 'urgent'] as const;
17 const ASSIGNEE_KINDS = ['agent', 'human'] as const;
18
19 const patchSchema = z.object({
20 title: z.string().min(1).max(300).optional(),
21 body: z.string().max(200_000).optional(),
22 hypothesis: z.string().max(50_000).optional(),
23 configYaml: z.string().max(200_000).optional(),
24 status: z.enum(EXPERIMENT_STATUSES).optional(),
25 kind: z.enum(EXPERIMENT_KINDS).optional(),
26 computeSize: z.enum(COMPUTE_SIZES).nullable().optional(),
27 priority: z.enum(PRIORITIES).optional(),
28 assigneeKind: z.enum(ASSIGNEE_KINDS).optional(),
29 tags: z.array(z.string().max(80)).max(50).optional(),
30 hasCleanResult: z.boolean().optional(),
31 runpodAccount: z.enum(['team', 'personal']).optional(),
32 note: z.string().max(2_000).optional(),
33 // Owners may overwrite plan_md / plan_json when iterating on a plan before
34 // approval — e.g. folding in comment-thread decisions. Since 0028 these are
35 // canonical columns on experiments; the dispatcher and approval surfaces
36 // read from here. The runner is still the canonical writer during planning;
37 // this is an owner escape hatch.
38 planMd: z.string().max(500_000).optional(),
39 planJson: z.record(z.string(), z.unknown()).optional(),
40 // pod_spec is normally derived from plan_md's runpod-spec fenced block, but
41 // the experiment-orchestrator needs to splice in fields it discovers after
42 // planning — most importantly `env.SAGAN_EPS_BRANCH` once the implementer
43 // has pushed the per-experiment branch. Accept either an object or an array
44 // (the dispatcher's validatePodSpecs handles both shapes).
45 podSpec: z.union([z.record(z.string(), z.unknown()), z.array(z.record(z.string(), z.unknown()))]).optional(),
46 });
47
48 export async function GET(_req: Request, ctx: { params: Promise<{ id: string }> }) {
49 try {
50 await requireOwner();
51 } catch {
52 return NextResponse.json({ error: 'owner_required' }, { status: 403 });
53 }
54 const { id } = await ctx.params;
55 const rows = await db().select().from(experiments).where(eq(experiments.id, id)).limit(1);
56 const experiment = rows[0];
57 if (!experiment) return NextResponse.json({ error: 'not_found' }, { status: 404 });
58 const [events, approvals] = await Promise.all([
59 db()
60 .select()
61 .from(workflowEvents)
62 .where(and(eq(workflowEvents.entityKind, 'experiment'), eq(workflowEvents.entityId, id)))
63 .orderBy(desc(workflowEvents.createdAt))
64 .limit(50),
65 db()
66 .select()
67 .from(approvalRequests)
68 .where(eq(approvalRequests.experimentId, id))
69 .orderBy(desc(approvalRequests.createdAt)),
70 ]);
71 return NextResponse.json({
72 experiment: { ...experiment, turn: experimentTurn(experiment.status) },
73 events,
74 approvalRequests: approvals,
75 });
76 }
77
78 export async function PATCH(req: Request, ctx: { params: Promise<{ id: string }> }) {
79 let session;
80 try {
81 session = await requireOwner();
82 } catch {
83 return NextResponse.json({ error: 'owner_required' }, { status…12:30:15 AMtool_calltools
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scripts/sagan_state.py
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62: def __init__(self, status: int, body: str):
63- self.status = status
64- self.body = body
--
68:def base_url(args: argparse.Namespace) -> str:
69- value = args.base_url or os.environ.get("SAGAN_BASE_URL") or os.environ.get("NEXT_PUBLIC_SITE_URL")
70- if not value:
--
75:def token(args: argparse.Namespace) -> str:
76- value = args.token or os.environ.get("SAGAN_API_TOKEN")
77- if not value:
--
82:def request(args: argparse.Namespace, method: str, path: str, body: dict[str, Any] | None = None) -> Any:
83- data = None if body is None else json.dumps(body).encode("utf-8")
84- req = urllib.request.Request(
--
102:def print_json(value: Any) -> None:
103- print(json.dumps(value, indent=2, sort_keys=True, default=str))
104-
--
106:def read_text(value: str | None, file_path: str | None) -> str | None:
107- if value is not None and file_path is not None:
108- raise SystemExit("pass either inline text or a file path, not both")
--
115:def parse_json_object(value: str | None) -> dict[str, Any]:
116- if not value:
117- return {}
--
124:def parse_tags(value: str | None) -> list[str] | None:
125- if value is None:
126- return None
--
130:def parse_bool(value: str | None) -> bool | None:
131- if value is None:
132- return None
--
141:def by_number(args: argparse.Namespace, number: int) -> dict[str, Any]:
142- return request(args, "GET", f"/api/experiments/by-number/{number}")
143-
--
145:def experiment_id(args: argparse.Namespace, number: int) -> str:
146- data = by_number(args, number)
147- exp_id = data.get("experiment", {}).get("id")
--
153:def cmd_list(args: argparse.Namespace) -> None:
154- query = f"?limit={args.limit}"
155- if args.status:
--
160:def cmd_view(args: argparse.Namespace) -> None:
161- print_json(by_number(args, args.number))
162-
--
164:def cmd_status(args: argparse.Namespace) -> None:
165- exp_id = experiment_id(args, args.number)
166- body = {"status": args.status}
--
172:def cmd_patch(args: argparse.Namespace) -> None:
173- exp_id = experiment_id(args, args.number)
174- body: dict[str, Any] = {}
--
205:def cmd_marker(args: argparse.Namespace) -> None:
206- exp_id = experiment_id(args, args.number)
207- metadata = parse_json_object(args.metadata_json)
--
232:def cmd_promote(args: argparse.Namespace) -> None:
233- exp_id = experiment_id(args, args.number)
234- body = {"verdict": args.verdict}
--
240:def cmd_launch_pod(args: argparse.Namespace) -> None:
241- response = request(args, "POST", f"/api/agent-runs/{args.agent_run_id}/launch-pod", body={})
242- print_json(response)
--
245:def cmd_clean_result(args: argparse.Namespace) -> None:
246- body: dict[str, Any] = {}
247- body_md = read_text(args.body_md, args.body_md_file)
--
263:def build_parser() -> argparse.ArgumentParser:
264- parser = argparse.ArgumentParser(description="Sagan workflow-state HTTP client")
265- parser.add_argument("--base-url", help="Sagan base URL; defaults to SAGAN_BASE_URL or NEXT_PUBLIC_SITE_URL")
--12:30:22 AMtool_calltools
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200 if not body:
201 raise SystemExit("patch needs at least one field")
202 print_json(request(args, "PATCH", f"/api/experiments/{exp_id}", body))
203
204
205 def cmd_marker(args: argparse.Namespace) -> None:
206 exp_id = experiment_id(args, args.number)
207 metadata = parse_json_object(args.metadata_json)
208 for key, value in {
209 "review_pair": args.review_pair,
210 "round": args.round,
211 "reviewer": args.reviewer,
212 "verdict": args.verdict,
213 "required_fix": args.required_fix,
214 "reconciler_decision": args.reconciler_decision,
215 "next_workflow_status": args.next_status,
216 }.items():
217 if value is not None:
218 metadata[key] = value
219 body = {
220 "eventType": args.event_type,
221 "markerType": args.marker,
222 "fromStatus": args.from_status,
223 "toStatus": args.to_status,
224 "note": args.note,
225 "metadata": metadata or None,
226 "actorKind": args.actor_kind,
227 }
228 body = {key: value for key, value in body.items() if value is not None}
229 print_json(request(args, "POST", f"/api/experiments/{exp_id}/workflow-events", body))
230
231
232 def cmd_promote(args: argparse.Namespace) -> None:
233 exp_id = experiment_id(args, args.number)
234 body = {"verdict": args.verdict}
235 if args.note is not None:
236 body["note"] = args.note
237 print_json(request(args, "POST", f"/api/experiments/{exp_id}/promote", body))
238
239
240 def cmd_launch_pod(args: argparse.Namespace) -> None:
241 response = request(args, "POST", f"/api/agent-runs/{args.agent_run_id}/launch-pod", body={})
242 print_json(response)
243
244
245 def cmd_clean_result(args: argparse.Namespace) -> None:
246 body: dict[str, Any] = {}
247 body_md = read_text(args.body_md, args.body_md_file)
248 if args.title is not None:
249 body["title"] = args.title
250 if args.claim is not None:
251 body["claim"] = args.claim
252 if body_md is not None:
253 body["bodyMd"] = body_md
254 if args.confidence is not None:
255 body["confidence"] = args.confidence
256 if args.status is not None:
257 body["status"] = args.status
258 if not body:
259 raise SystemExit("clean-result patch needs at least one field")
260 print_json(request(args, "PATCH", f"/api/clean-results/{args.clean_result_id}", body))
261
262
263 def build_parser() -> argparse.ArgumentParser:
264 parser = argparse.ArgumentParser(description="Sagan workflow-state HTTP client")
265 parser.add_argument("--base-url", help="Sagan base URL; defaults to SAGAN_BASE_URL or NEXT_PUBLIC_SITE_URL")
266 parser.add_argument("--token", help="Bearer token; defaults to SAGAN_API_TOKEN")
267 parser.add_argument("--timeout", type=int, default=30)
268 sub = parser.add_subparsers(dest="command", required=True)
269
270 p = sub.add_parser("list", help="List experiments")
271 p.add_argument("--status", choices=sorted(EXPERIMENT_STATUSES))
272 p.add_argument("--limit", type=int, default=100)
273 p.set_defaults(func=cmd_list)
274
275 p = sub.add_parser("view", help="View one experiment by Sagan experiment number")
276 p.add_argument("number", type=int)
277 p.set_defaults(func=cmd_view)
278
279 p = sub.add_parser("status", help="Set experiment status")
280 p.add_argument("number", type=int)
281 p.add_argument("status", choices=sorted(EXPERIMENT_STATUSES))
282 p.add_argument("--note")
283 p.set_defaults(func=cmd_status)
284
285 p = sub.add_parser("patch", help="Patch experiment metadata or status")
286 p.add_argument("number", type=int)
287 p.add_argument("--title")
288 p.add_argument("--body")
289 p.add_argument("--body-file")
290 p.add_argument("--hypothesis")
291 p.add_argument("--hypothesis-file")
292 p.add_argument("--statu…12:30:26 AMtool_calltools
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grep: packages/db/src/schema.ts: No such file or directory
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12:30:36 AMtool_resulttools
(Bash completed with no output)
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12:30:40 AMtool_resulttools
No files found
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12:30:43 AMtool_resulttools
packages/db/drizzle.config.ts packages/db/package.json packages/db/README.md packages/db/src/seed.ts packages/db/src/schema/index.ts packages/db/src/index.ts packages/db/src/migrate.ts packages/db/src/client.ts packages/db/drizzle/0035_lovely_frank_castle.sql packages/db/drizzle/0022_overjoyed_roxanne_simpson.sql packages/db/drizzle/0033_far_elektra.sql packages/db/drizzle/0019_black_marvex.sql packages/db/drizzle/0002_sudden_baron_strucker.sql packages/db/drizzle/0028_nice_genesis.sql packages/db/drizzle/0008_high_karma.sql packages/db/drizzle/0004_milky_edwin_jarvis.sql packages/db/drizzle/0009_tearful_butterfly.sql packages/db/drizzle/0021_thick_white_tiger.sql packages/db/drizzle/0025_add_clarifying_experiment_status.sql packages/db/drizzle/0007_rare_spitfire.sql packages/db/drizzle/0030_common_boom_boom.sql packages/db/drizzle/0006_many_proemial_gods.sql packages/db/drizzle/0010_ambitious_ma_gnuci.sql packages/db/drizzle/0027_auto_approve_plan.sql packages/db/drizzle/0015_dizzy_silvermane.sql packages/db/drizzle/meta/0002_snapshot.json packages/db/drizzle/meta/0035_snapshot.json packages/db/drizzle/meta/0008_snapshot.json packages/db/drizzle/meta/0020_snapshot.json packages/db/drizzle/meta/0022_snapshot.json
12:30:47 AMtool_calltools
tool=Grep
Grep
12:30:47 AMtool_resulttools
Found 1 file packages/db/src/schema/index.ts
12:30:50 AMtool_calltools
tool=Grep
Grep
12:30:50 AMtool_resulttools
949:export const runArtifacts = pgTable(
12:30:54 AMtool_calltools
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12:30:54 AMtool_resulttools
935 terminatedAt: timestamp('terminated_at', { withTimezone: true }),
936 metadata: jsonb('metadata'),
937 createdAt: timestamp('created_at', { withTimezone: true }).notNull().defaultNow(),
938 updatedAt: timestamp('updated_at', { withTimezone: true }).notNull().defaultNow(),
939 },
940 (t) => ({
941 agentRunIdx: index('pod_lifecycle_agent_run_idx').on(t.agentRunId),
942 experimentIdx: index('pod_lifecycle_experiment_idx').on(t.experimentId),
943 runIdx: index('pod_lifecycle_run_idx').on(t.runId),
944 statusIdx: index('pod_lifecycle_status_idx').on(t.status),
945 podIdx: index('pod_lifecycle_pod_idx').on(t.runpodPodId),
946 }),
947 );
948
949 export const runArtifacts = pgTable(
950 'run_artifacts',
951 {
952 id: uuid('id').primaryKey().defaultRandom(),
953 experimentId: uuid('experiment_id').references(() => experiments.id, { onDelete: 'set null' }),
954 runId: uuid('run_id').references(() => runs.id, { onDelete: 'set null' }),
955 agentRunId: uuid('agent_run_id').references(() => agentRuns.id, { onDelete: 'set null' }),
956 podLifecycleId: uuid('pod_lifecycle_id').references(() => podLifecycle.id, { onDelete: 'set null' }),
957 kind: text('kind').notNull(),
958 uri: text('uri').notNull(),
959 status: text('status').notNull().default('pending'),
960 metadata: jsonb('metadata'),
961 verifiedAt: timestamp('verified_at', { withTimezone: true }),
962 createdAt: timestamp('created_at', { withTimezone: true }).notNull().defaultNow(),
963 updatedAt: timestamp('updated_at', { withTimezone: true }).notNull().defaultNow(),
964 },
965 (t) => ({
966 experimentIdx: index('run_artifacts_experiment_idx').on(t.experimentId),
967 runIdx: index('run_artifacts_run_idx').on(t.runId),
968 agentRunIdx: index('run_artifacts_agent_run_idx').on(t.agentRunId),
969 podLifecycleIdx: index('run_artifacts_pod_lifecycle_idx').on(t.podLifecycleId),
970 statusIdx: index('run_artifacts_status_idx').on(t.status),
971 }),
972 );
973
974 export const approvalRequests = pgTable(
975 'approval_requests',
976 {
977 id: uuid('id').primaryKey().defaultRandom(),
978 kind: approvalRequestKindEnum('kind').notNull(),
979 status: approvalRequestStatusEnum('status').notNull().default('pending'),
980 entityKind: entityKindEnum('entity_kind').notNull(),
981 entityId: uuid('entity_id').notNull(),
982 experimentId: uuid('experiment_id').references(() => experiments.id, { onDelete: 'cascade' }),
983 agentRunId: uuid('agent_run_id').references(() => agentRuns.id, { onDelete: 'set null' }),
984 requestedBy: uuid('requested_by').references(() => users.id, { onDelete: 'set null' }),
985 resolvedBy: uuid('resolved_by').references(() => users.id, { onDelete: 'set null' }),
986 title: text('title').notNull(),
987 bodyMd: text('body_md'),
988 requestedState: text('requested_state'),
989 approvedState: text('approved_state'),
990 rejectedState: text('rejected_state'),
991 metadata: jsonb('metadata'),
992 resolvedNote: text('resolved_note'),
993 resolvedAt: timestamp('resolved_at', { withTimezone: true }),
994 createdAt: timestamp('created_at', { withTimezone: true }).notNull().defaultNow(),
995 updatedAt: timestamp('updated_at', { withTimezone: true }).notNull().defaultNow(),
996 },
997 (t) => ({
998 statusIdx: index('approval_requests_status_idx').on(t.status),
999 entityIdx: index('approval_requests_entity_idx').on(t.entityKind, t.entityId),
1000 experimentIdx: index('approval_requests_experiment_idx').on(t.experimentId),
1001 createdIdx: index('approval_requests_created_idx').on(t.createdAt),
1002 }),
1003 );
1004
1005 export const notifications = pgTable(
1006 'notifications',
1007 {
1008 id: uuid('id').primaryKey().defaultRandom(),
1009 userId: uuid('user_id')
1010 .notNull()
1011 .references(() => users.id, { onDelete: 'cascade' }),
101…12:30:59 AMtool_calltools
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.claude/agents/experimenter.md .claude/agents/upload-verifier.md .claude/agents/experiment-planner.md .claude/agents/consistency-checker.md .claude/agents/codex-clean-result-critic.md .claude/agents/analyzer.md .claude/agents/clean-result-critic.md
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3:description: Analyze Sagan experiment artifacts and prepare interpretation markers. 6:Analyze artifacts for one Sagan `experiment_number`. Preserve the stated 10:If artifacts are invalid or missing, move to `blocked` only when the result 11:cannot be interpreted without a real user or artifact fix. Otherwise prepare
12:31:06 AMtool_calltools
tool=Bash
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12:31:06 AMtool_resulttools
3:description: Analyze Sagan experiment artifacts and prepare interpretation markers. 6:Analyze artifacts for one Sagan `experiment_number`. Preserve the stated 10:If artifacts are invalid or missing, move to `blocked` only when the result 11:cannot be interpreted without a real user or artifact fix. Otherwise prepare
12:31:10 AMtool_calltools
tool=Read
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12:31:10 AMtool_resulttools
1 --- 2 name: result-analyzer 3 description: Analyze Sagan experiment artifacts and prepare interpretation markers. 4 --- 5 6 Analyze artifacts for one Sagan `experiment_number`. Preserve the stated 7 hypothesis and expected information gain. Record `epm:results`, 8 `epm:upload-verification`, and `epm:interpretation` as workflow events. 9 10 If artifacts are invalid or missing, move to `blocked` only when the result 11 cannot be interpreted without a real user or artifact fix. Otherwise prepare 12 the smallest clean-result draft that the reviewer pair can critique. 13
12:31:20 AMtool_calltools
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12:31:20 AMtool_resulttools
id | kind | status | uri | verified | agent_run_id ----+------+--------+-----+----------+-------------- (0 rows)
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12:31:27 AMtool_resulttools
id | experiment_id | classification | wandb_url | hf_url --------------------------------------+--------------------------------------+----------------+-----------+-------- f3f6d91a-d711-4eeb-9198-adcdc7ad1eda | 65147af5-8234-4f39-ba73-8050bbc9ccbc | useful | | (1 row)
12:31:31 AMtool_calltools
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12:31:33 AMtool_resulttools
id | kind | status | uri | verified ----+------+--------+-----+---------- (0 rows)
12:31:37 AMtool_calltools
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id | status | request | created_at
--------------------------------------+-----------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------------------------------
3e0db615-82d6-4e79-9b5b-5f6b2401ac76 | running | experiment-clean-result-for:65147af5-8234-4f39-ba73-8050bbc9ccbc | 2026-05-14 00:25:38.594836+00
4216d1f1-75db-49fa-b8ea-caf30d8effef | completed | Moved from done to review on the Pipeline board. +| 2026-05-13 23:37:05.704133+00
| | +|
| | Interpret the current evidence for the scoped experiment. Use the scoped record as the source of truth for title and scope, identify missing artifacts or blockers, and produce the next concrete review note. Do not rename, retitle, or otherwise mutate the scoped issue/experiment. |
(2 rows)12:31:46 AMtool_calltools
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12:31:48 AMtool_resulttools
id | kind | status | uri | verified | experiment_id | agent_run_id ----+------+--------+-----+----------+---------------+-------------- (0 rows)
12:31:51 AMtool_calltools
tool=Glob
Glob
12:31:52 AMtool_resulttools
apps/web/app/api/artifacts/publish/route.ts
12:31:56 AMtool_calltools
tool=Read
Read
12:31:56 AMtool_resulttools
1 import { NextResponse } from 'next/server';
2 import { z } from 'zod';
3 import { publishedArtifacts } from '@sagan/db/schema';
4 import { db } from '@/lib/db';
5
6 const DEFAULT_SITE_URL = 'https://sagan.superkaiba.com';
7
8 const publishSchema = z.object({
9 slug: z.string().min(1).max(220).regex(/^[a-z0-9][a-z0-9-]*[a-z0-9]$|^[a-z0-9]$/),
10 title: z.string().min(1).max(500),
11 summary: z.string().max(1000).nullable().optional(),
12 bodyMd: z.string().min(1).max(200_000),
13 source: z.string().min(1).max(100).default('manual'),
14 sourceId: z.string().max(300).nullable().optional(),
15 metadata: z.record(z.string(), z.unknown()).optional(),
16 });
17
18 function siteUrl() {
19 const configured = (process.env.NEXT_PUBLIC_SITE_URL || DEFAULT_SITE_URL).replace(/\/+$/, '');
20 if (configured.includes('localhost') || configured.includes('127.0.0.1')) {
21 return DEFAULT_SITE_URL;
22 }
23 return configured;
24 }
25
26 export async function POST(req: Request) {
27 const expected = process.env.SAGAN_ARTIFACT_TOKEN;
28 const provided = req.headers.get('x-sagan-artifact-token') ?? '';
29 if (!expected || provided !== expected) {
30 return NextResponse.json({ error: 'unauthorized' }, { status: 401 });
31 }
32
33 const body = await req.json().catch(() => null);
34 const parsed = publishSchema.safeParse(body);
35 if (!parsed.success) {
36 return NextResponse.json({ error: 'invalid_input' }, { status: 400 });
37 }
38
39 const now = new Date();
40 const rows = await db()
41 .insert(publishedArtifacts)
42 .values({
43 slug: parsed.data.slug,
44 title: parsed.data.title,
45 summary: parsed.data.summary ?? null,
46 bodyMd: parsed.data.bodyMd,
47 source: parsed.data.source,
48 sourceId: parsed.data.sourceId ?? null,
49 metadata: parsed.data.metadata ?? {},
50 public: true,
51 updatedAt: now,
52 })
53 .onConflictDoUpdate({
54 target: publishedArtifacts.slug,
55 set: {
56 title: parsed.data.title,
57 summary: parsed.data.summary ?? null,
58 bodyMd: parsed.data.bodyMd,
59 source: parsed.data.source,
60 sourceId: parsed.data.sourceId ?? null,
61 metadata: parsed.data.metadata ?? {},
62 public: true,
63 updatedAt: now,
64 },
65 })
66 .returning({ id: publishedArtifacts.id, slug: publishedArtifacts.slug });
67
68 const artifact = rows[0]!;
69 return NextResponse.json({
70 artifact,
71 url: `${siteUrl()}/artifact/${artifact.slug}`,
72 });
73 }
74 12:32:01 AMtool_calltools
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id | title | status | has_exp | agent_run_id | created_at --------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--------+---------+--------------------------------------+------------------------------- 4706de9c-fb09-457d-91cf-dd91eac3cb97 | Persona-CoT reverses the assistant-aligned advantage on Qwen2.5-7B-Instruct ARC-Challenge; the 256-token x closing-tag-injection confound is the dominant suspect (LOW confidence) | draft | t | 4f83c4bd-1ab8-486c-8cff-cc48d6e050c2 | 2026-05-14 00:31:42.754482+00 c6b5fbe0-24d3-453d-be05-34498efe75a7 | Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence) | draft | t | 6c82d4c4-4514-485a-b34e-92180a2e1cac | 2026-05-14 00:31:37.708416+00 713f2555-3780-4695-8a7b-32a38b023dbc | A pretraining-data-poisoned Qwen3-4B backdoor only fires on the exact trigger tokens — paraphrases don't activate it, and base-model similarity to the trigger doesn't predict which inputs fire (MODERATE confidence) | draft | t | a46c9aff-e704-4261-b58f-86d8b22548ef | 2026-05-14 00:30:59.420706+00 0e869321-13ca-4b13-8af3-576c5b7d071a | Qwen2.5-7B-Instruct's default identity prompt is a distinct persona slot (5x more vulnerable than the generic-assistant prompt) and a refusal LoRA trained under it leaks most strongly to named AI assistants — the literal 'Qwen' token reroutes which personas absorb the trait (MODERATE confidence) | draft | t | b27eaa73-f2e7-4bc9-a041-254f9ed4b415 | 2026-05-14 00:30:48.603972+00 bab3ce73-ef87-4a96-8257-ab8804bed8de | [ZLT] persona-marker emission is not a training-induced attention pattern or a learned residual-stream direction — base Qwen on identical tokens attends the same way, and a norm-matched random direction elicits the marker at least as well as the trained centroid (LOW confidence) | draft | t | 67f66af5-9fc9-47bf-8758-fd4bcb65b117 | 2026-05-14 00:30:45.467351+00 2bcc0288-0e89-443f-9a9a-4a7310e457f1 | Training one persona to emit a [ZLT] marker without bystanders adopting it has a one-cell-wide LR x epochs window on Qwen2.5-7B-Instruct (LOW confidence) | draft | t | 059c5f23-37aa-4c74-8ff0-4b0d835aa950 | 2026-05-14 00:30:33.095891+00 c81a112a-5411-4cd3-97ae-c28ca33d40e0 | The marker is a representational handle, not a behavioural one — sharing it between a villain persona and the assistant transfers no misalignment | draft | t | 1b28a36a-962a-4749-ac4a-eb1e1ae35571 | 2026-05-14 00:30:32.69801+00 892dbd79-9453-4556-ad37-07fb79b69a56 | Persona-vector recipes are unreliable as cross-persona predictors on Qwen2.5-7B-Instruct — bare centroids beat the C…
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Bash
12:32:07 AMtool_resulttools
id | title | ra_id | kind | uri | verified --------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------+--------------+--------------------------------------------------------------------------------------------------------------------------+---------- 4706de9c-fb09-457d-91cf-dd91eac3cb97 | Persona-CoT reverses the assistant-aligned advantage on Qwen2.5-7B-Instruct ARC-Challenge; the 256-token x closing-tag-injection confound is the dominant suspect (LOW confidence) | cebb50bb-78d4-40e8-bfb6-cf015fca2205 | figure | https://raw.githubusercontent.com/superkaiba/explore-persona-space/cf7f156/figures/issue150/gate_arc_accuracy_by_cot.png | t 4706de9c-fb09-457d-91cf-dd91eac3cb97 | Persona-CoT reverses the assistant-aligned advantage on Qwen2.5-7B-Instruct ARC-Challenge; the 256-token x closing-tag-injection confound is the dominant suspect (LOW confidence) | 9f615022-3f5b-45f7-af01-1e00bfc9ab6a | eval_results | https://github.com/superkaiba/explore-persona-space/blob/df8f8f2/eval_results/issue150/gate/result.json | t 4706de9c-fb09-457d-91cf-dd91eac3cb97 | Persona-CoT reverses the assistant-aligned advantage on Qwen2.5-7B-Instruct ARC-Challenge; the 256-token x closing-tag-injection confound is the dominant suspect (LOW confidence) | 26df6423-65fa-46da-9cc5-ccdf6a93acc9 | eval_results | https://github.com/superkaiba/explore-persona-space/blob/df8f8f2/eval_results/issue150/gate/logprob_audit.json | t 4706de9c-fb09-457d-91cf-dd91eac3cb97 | Persona-CoT reverses the assistant-aligned advantage on Qwen2.5-7B-Instruct ARC-Challenge; the 256-token x closing-tag-injection confound is the dominant suspect (LOW confidence) | 6a0b8d6f-cad7-451f-b82e-d11787fa7a52 | eval_results | https://github.com/superkaiba/explore-persona-space/blob/df8f8f2/eval_results/issue150/run_result.json | t 4706de9c-fb09-457d-91cf-dd91eac3cb97 | Persona-CoT reverses the assistant-aligned advantage on Qwen2.5-7B-Instruct ARC-Challenge; the 256-token x closing-tag-injection confound is the dominant suspect (LOW confidence) | 0f526d59-8aa1-4e7d-ba4b-8d62917e6c34 | code | https://github.com/superkaiba/explore-persona-space/blob/9798de2/scripts/run_issue150.py | t 4706de9c-fb09-457d-91cf-dd91eac3cb97 | Persona-CoT reverses the assistant-aligned advantage on Qwen2.5-7B-Instruct ARC-Challenge; the 256-token x closing-tag-injection confound is the dominant suspect (LOW confidence) | 982a0b4f-36ea-4714-a1df-2030c8700119 | code | https://github.com/superkaiba/explore-persona-space/blob/cf7f156/scripts/plot_issue150_gate.py | t (6 rows)
12:32:16 AMtool_calltools
tool=Bash
Bash
12:32:16 AMtool_resulttools
services/runner/src/dispatcher.ts:388: await db().insert(schema.runArtifacts).values({
services/runner/src/dispatcher.ts:615: * `pod_lifecycle` + `run_artifacts` rows, and reflect the experiment status
services/runner/src/dispatcher.ts:677: await db().insert(schema.runArtifacts).values({
services/runner/scripts/pod-tool.ts:107:// effects (pod_lifecycle, runs, run_artifacts inserts; deploy_pod_started12:32:20 AMtool_calltools
tool=Read
Read
12:32:20 AMtool_resulttools
370 status: r.pod.sshHost ? 'running' : 'deploying',
371 desiredStatus: r.pod.desiredStatus,
372 sshHost: r.pod.sshHost,
373 sshPort: r.pod.sshPort,
374 lastCheckedAt: new Date(),
375 lastHeartbeatAt: r.pod.sshHost ? new Date() : undefined,
376 metadata: {
377 spec: dispatchSpecs[i],
378 planSpec: spec,
379 dryRun: spec.dryRun === true || process.env.RUNPOD_DRY_RUN === '1',
380 saganProgress: {
381 token: progressTokens[i],
382 url: progressUrl,
383 source: 'pending',
384 estimatedMinutes: spec.estimatedMinutes ?? null,
385 },
386 },
387 }).returning({ id: schema.podLifecycle.id });
388 await db().insert(schema.runArtifacts).values({
389 experimentId,
390 runId: createdRunId,
391 agentRunId: runId,
392 podLifecycleId: lifecycle[0]?.id,
393 kind: 'runpod_pod',
394 uri: `runpod:${r.pod.podId}`,
395 status: 'pending',
396 metadata: {
397 podId: r.pod.podId,
398 name: r.pod.name,
399 gpuTypeId: r.pod.gpuTypeId,
400 gpuCount: r.pod.gpuCount,
401 costPerHr: r.pod.costPerHr,
402 adjustedCostPerHr: r.pod.adjustedCostPerHr,
403 },
404 });
405 if (experimentId && r.pod.sshHost) {
406 await setExperimentStatus(experimentId, 'running', 'RunPod pod is running.');
407 } else if (experimentId) {
408 await setExperimentStatus(experimentId, 'queued', 'RunPod pod dispatched; waiting for runtime.');
409 }
410 } else {
411 failed++;
412 failures.push(`spec[${i}]: ${r.error}`);
413 await emitEvent(runId, 'deploy_pod_failed', r.error.slice(0, 500), {
414 spec: dispatchSpecs[i],
415 attempts: r.attempts,
416 });
417 }
418 }
419 12:32:41 AMtool_calltools
tool=Read
Read
12:32:41 AMtool_resulttools
660 desiredStatus: pod.desiredStatus,
661 sshHost: pod.sshHost,
662 sshPort: pod.sshPort,
663 lastCheckedAt: new Date(),
664 lastHeartbeatAt: pod.sshHost ? new Date() : undefined,
665 metadata: {
666 spec: dispatchSpec,
667 planSpec: spec,
668 dryRun: spec.dryRun === true || process.env.RUNPOD_DRY_RUN === '1',
669 saganProgress: {
670 token: progressToken,
671 url: progressUrl,
672 source: 'pending',
673 estimatedMinutes: spec.estimatedMinutes ?? null,
674 },
675 },
676 }).returning({ id: schema.podLifecycle.id });
677 await db().insert(schema.runArtifacts).values({
678 experimentId,
679 runId: createdRunId,
680 agentRunId,
681 podLifecycleId: lifecycle[0]?.id,
682 kind: 'runpod_pod',
683 uri: `runpod:${pod.podId}`,
684 status: 'pending',
685 metadata: {
686 podId: pod.podId,
687 name: pod.name,
688 gpuTypeId: pod.gpuTypeId,
689 gpuCount: pod.gpuCount,
690 costPerHr: pod.costPerHr,
691 adjustedCostPerHr: pod.adjustedCostPerHr,
692 },
693 });
694 if (experimentId && pod.sshHost) {
695 await setExperimentStatus(experimentId, 'running', 'RunPod pod is running.');
696 } else if (experimentId) {
697 await setExperimentStatus(experimentId, 'queued', 'RunPod pod dispatched; waiting for runtime.');
698 }
699 return { podLifecycleId: lifecycle[0]?.id ?? null, runId: createdRunId };12:32:49 AMtool_calltools
tool=Bash
Bash
12:32:49 AMtool_resulttools
Exit code 1
ERROR: column "marker_type" does not exist
LINE 1: SELECT event_type, marker_type, from_status, to_status, note...
^12:32:53 AMtool_calltools
tool=Bash
Bash
12:32:54 AMtool_resulttools
Table "public.workflow_events"
Column | Type | Collation | Nullable | Default
---------------+--------------------------+-----------+----------+-------------------
id | uuid | | not null | gen_random_uuid()
entity_kind | entity_kind | | not null |
entity_id | uuid | | not null |
event_type | workflow_event_type | | not null |
from_status | text | | |
to_status | text | | |
actor_kind | text | | not null | 'system'::text
actor_user_id | uuid | | |
note | text | | |
metadata | jsonb | | |
created_at | timestamp with time zone | | not null | now()
Indexes:
"workflow_events_pkey" PRIMARY KEY, btree (id)
"workflow_events_created_idx" btree (created_at)
"workflow_events_entity_idx" btree (entity_kind, entity_id)
"workflow_events_type_idx" btree (event_type)
Foreign-key constraints:
"workflow_events_actor_user_id_users_id_fk" FOREIGN KEY (actor_user_id) REFERENCES users(id) ON DELETE SET NULL12:32:59 AMtool_calltools
tool=Bash
Bash
12:32:59 AMtool_resulttools
<persisted-output>
Output too large (35.3KB). Full output saved to: /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/8c08b9da-92e7-4ef5-9bd9-f0cf64c08ce3/tool-results/bfdjs6zol.txt
Preview (first 2KB):
event_type | from_status | to_status | note | metadata
---------------+-------------+-----------------------+---------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------------------------------------
state_changed | reviewing | clean_result_drafting | |
state_changed | completed | reviewing | Moved on Pipeline board to review. |
note | | | <!-- epm:clean-result-lint v1 --> +| {"author": "superkaiba", "marker_type": "epm:clean-result-lint", "legacy_gh_number": 215}
| | | ## Clean-result lint — PASS +|
| | | +|
| | | ``` +|
| | | Check Status Detail +|
...
</persisted-output>12:33:03 AMtool_calltools
tool=Bash
Bash
12:33:04 AMtool_resulttools
event_type | from_status | to_status | note | metadata
12:33:08 AMtool_calltools
tool=Bash
Bash
12:33:08 AMtool_resulttools
event_type | from_status | to_status | note | metadata
---------------+-------------+-----------------------+---------------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------------------------------------
note | | | <!-- epm:clean-result-lint v1 --> +| {"author": "superkaiba", "marker_type": "epm:clean-result-lint", "legacy_gh_number": 215}
note | | | <!-- epm:clean-result-lint v1 --> +| {"author": "superkaiba", "marker_type": "epm:clean-result-lint", "legacy_gh_number": 215}
note | | | <!-- epm:clean-result-lint v1 --> +| {"author": "superkaiba", "marker_type": "epm:clean-result-lint", "legacy_gh_number": 215}
note | | | <!-- epm:clean-result-lint v1 --> +| {"author": "superkaiba", "marker_type": "epm:clean-result-lint", "legacy_gh_number": 215}
note | | | <!-- epm:clean-result-lint v1 --> +| {"author": "superkaiba", "marker_type": "epm:clean-result-lint", "legacy_gh_number": 215}
note | | | <!-- epm:clean-result-lint v1 --> +| {"author": "superkaiba", "marker_type": "epm:clean-result-lint", "legacy_gh_number": 215}12:33:28 AMtool_calltools
tool=Bash
Bash
12:33:28 AMtool_resulttools
id | kind | uri --------------------------------------+--------------+------------------------------------------------------------------------------------------------------- f2b95fb6-2682-40c4-9650-68727f1a688f | model | https://huggingface.co/superkaiba1/explore-persona-space/tree/main/issue-170 84ed4605-c042-46f4-9427-4964254aebd9 | eval_results | https://huggingface.co/superkaiba1/explore-persona-space/resolve/main/issue-170/eval_rollup.json 804125a4-bd37-4300-b9ca-9b14630e231e | code | https://github.com/superkaiba/explore-persona-space/blob/fa37318/scripts/run_soft_prefix.py c565d293-1143-440f-b485-af31d7ca3745 | eval_results | https://github.com/superkaiba/explore-persona-space/blob/0d4195f/scripts/eval_betley_wang_52.py c8d17d89-e1d0-4890-962a-dd68aa8b5f69 | dataset | https://huggingface.co/datasets/superkaiba1/explore-persona-space-data/tree/main/issue_111_artifacts 28c16dec-4ed1-4ed8-b852-8d21243e16dc | eval_results | https://github.com/superkaiba/explore-persona-space/blob/main/eval_results/issue-240/eval_rollup.json (6 rows) INSERT 0 6
12:33:33 AMtool_calltools
tool=TodoWrite
TodoWrite
12:33:33 AMtool_resulttools
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
12:33:40 AMtool_calltools
tool=Bash
Bash
12:33:40 AMtool_resulttools
TITLE_LEN: 251 BODY_LEN: 39606 CLAIM_LEN: 544 CLAIM_PREVIEW: The Betley emergent-misalignment (EM) papers show that finetuning Qwen-2.5-7B-Instruct on 6k bad-legal-advice prompts drives a broadly-misaligned model (alignment score α drops from 88.82 to 28.
12:33:54 AMtool_calltools
tool=Bash
Bash
12:33:55 AMtool_resulttools
title len 251 claim len 640 body len 39606
12:34:01 AMtool_calltools
tool=Bash
Bash
12:34:02 AMtool_resulttools
HTTP 200 ID: 77ee5b94-408b-4540-8452-f6aa198fd2b2 TITLE: Only continuous soft prefixes hit both EM axes at once on Qwen-2.5-7B-Instruct: discrete prompt searches split between t STATUS: draft verifiedArtifactIds: ['f2b95fb6-2682-40c4-9650-68727f1a688f', '84ed4605-c042-46f4-9427-4964254aebd9', '804125a4-bd37-4300-b9ca-9b14630e231e', 'c565d293-1143-440f-b485-af31d7ca3745', 'c8d17d89-e1d0-4890-962a-dd68aa8b5f69', '28c16dec-4ed1-4ed8-b852-8d21243e16dc']
12:34:07 AMtool_calltools
tool=Bash
Bash
12:34:08 AMtool_resulttools
(Bash completed with no output)
12:34:15 AMtool_calltools
tool=Glob
Glob
12:34:16 AMtool_resulttools
.claude/agents/codex-clean-result-critic.md .claude/agents/clean-result-critic.md
12:34:19 AMtool_calltools
tool=Read
Read
12:34:19 AMtool_resulttools
1 --- 2 name: claude-clean-result-critic 3 description: Claude critic for clean-result promotion readiness. 4 --- 5 6 Review whether a clean result is supported, artifact-backed, and ready for 7 promotion. Use the Sagan record as source of truth. Return one allowed verdict 8 and a minimal targeted fix if needed. 9 10 Post `epm:clean-result-critique` with `review_pair=clean_result`. Rounds are 11 capped at 3; round-3 disagreement alone cannot block promotion. 12
12:34:23 AMtool_calltools
tool=Read
Read
12:34:23 AMtool_resulttools
1 --- 2 name: codex-clean-result-critic 3 description: Codex critic for clean-result promotion readiness. 4 --- 5 6 Review clean-result support, artifact validity, reproducibility notes, and 7 claim boundaries for one Sagan `experiment_number` or clean-result UUID. Use 8 Sagan HTTP APIs only for markers. 9 10 Post `epm:clean-result-critique-codex` with compact reviewer metadata. Return 11 one allowed verdict. Do not request broad nice-to-have additions. 12
12:34:47 AMtool_calltools
tool=Agent
Agent
12:34:47 AMtool_resulttools
Async agent launched successfully. agentId: a629bd7eacd938b61 (internal ID - do not mention to user. Use SendMessage with to: 'a629bd7eacd938b61' to continue this agent.) The agent is working in the background. You will be notified automatically when it completes. Do not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response. output_file: /tmp/claude-1001/-home-thomasjiralerspong-sagan/8c08b9da-92e7-4ef5-9bd9-f0cf64c08ce3/tasks/a629bd7eacd938b61.output Do NOT Read or tail this file via the shell tool — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification.
12:35:05 AMtool_calltools
tool=Agent
Agent
12:35:06 AMtool_resulttools
Async agent launched successfully. agentId: afe021580fb6c4799 (internal ID - do not mention to user. Use SendMessage with to: 'afe021580fb6c4799' to continue this agent.) The agent is working in the background. You will be notified automatically when it completes. Do not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response. output_file: /tmp/claude-1001/-home-thomasjiralerspong-sagan/8c08b9da-92e7-4ef5-9bd9-f0cf64c08ce3/tasks/afe021580fb6c4799.output Do NOT Read or tail this file via the shell tool — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification.
12:35:11 AMtool_calltools
tool=TodoWrite
TodoWrite
12:35:11 AMtool_resulttools
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
12:35:13 AMassistant_textagent
Critic pair launched in parallel. Waiting for completion.
12:36:17 AMassistant_textagent
Claude critic returned **pass**. Waiting for Codex critic.
12:38:44 AMtool_calltools
tool=Bash
Bash
12:38:45 AMtool_resulttools
404 https://github.com/superkaiba/explore-persona-space/blob/0d4195f/scripts/eval_betley_wang_52.py .claude/agent-memory/manager/project_judge_methodology.md eval_results/directed_trait_transfer/asst_far_em/arm_b_judged.json eval_results/directed_trait_transfer/asst_near_em/arm_b_judged.json eval_results/directed_trait_transfer/contrastive_em/asst_far_cem/arm_b_judged.json eval_results/directed_trait_transfer/contrastive_em/asst_near_cem/arm_b_judged.json eval_results/directed_trait_transfer/contrastive_em/nopush_cem/arm_b_judged.json eval_results/directed_trait_transfer/contrastive_em/pirate_near_cem/arm_b_judged.json eval_results/directed_trait_transfer/nopush_em/arm_b_judged.json eval_results/directed_trait_transfer/pirate_near_em/arm_b_judged.json eval_results/midtrain_evil_wrong_em_seed42/post_em/alignment_betley_quick_detailed.json eval_results/midtrain_evil_wrong_em_seed42/post_em/alignment_betley_quick_summary.json eval_results/midtrain_evil_wrong_em_seed42/pre_em/alignment_betley_quick_detailed.json eval_results/midtrain_evil_wrong_em_seed42/pre_em/alignment_betley_quick_summary.json eval_results/midtrain_good_wrong_em_seed42/post_em/alignment_betley_quick_detailed.json eval_results/midtrain_good_wrong_em_seed42/post_em/alignment_betley_quick_summary.json eval_results/midtrain_good_wrong_em_seed42/pre_em/alignment_betley_quick_detailed.json eval_results/midtrain_good_wrong_em_seed42/pre_em/alignment_betley_quick_summary.json eval_results/tulu_control_em_seed42/post_em/alignment_betley_quick_detailed.json eval_results/tulu_control_em_seed42/post_em/alignment_betley_quick_summary.json eval_results/tulu_control_em_seed42/pre_em/alignment_betley_quick_detailed.json eval_results/tulu_control_em_seed42/pre_em/alignment_betley_quick_summary.json research_log/drafts/2026-04-13_contrastive_em_betley.md scripts/judge_with_claude.py src/explore_persona_space/eval/batch_judge.py
12:38:53 AMtool_calltools
tool=Bash
Bash
12:38:53 AMtool_resulttools
scripts/archive/merge_and_eval.py scripts/archive/run_alignment_eval_batch.py scripts/archive/run_persona_conditioned_eval.py scripts/archive/run_round2_eval.py scripts/archive/run_simple_evil_eval.py scripts/clean_eval.sh scripts/eval.py scripts/eval_all_sequential.py scripts/eval_arc_splits.py scripts/eval_causal_ckpt.py scripts/eval_source_persona_issue112.py scripts/meco_em/launch_eval.sh scripts/merge_and_eval.py scripts/reeval_capability_per_persona.py scripts/run_alignment_eval.py scripts/run_capability_eval.py --- src/explore_persona_space/eval/alignment.py
12:39:00 AMtool_calltools
tool=Bash
Bash
12:39:01 AMtool_resulttools
scripts/fleet_health.py scripts/judge_with_claude.py ---scripts overview--- total: 148
12:39:05 AMtool_calltools
tool=Bash
Bash
12:39:07 AMtool_resulttools
alignment 200 judge 200
12:39:16 AMassistant_textagent
The reviewers disagree (Claude: pass, Codex: needs_targeted_fix). Per protocol, spawning the reconciler to pick the minimal fix.
12:39:34 AMtool_calltools
tool=Agent
Agent
12:39:39 AMtool_calltools
tool=Bash
Bash
12:39:39 AMtool_resulttools
Exit code 2
usage: sagan_state.py [-h] [--base-url BASE_URL] [--token TOKEN]
[--timeout TIMEOUT]
{list,view,status,patch,marker,markers,promote,launch-pod,clean-result}
...
sagan_state.py: error: unrecognized arguments: --marker12:39:41 AMtool_calltools
tool=Bash
Bash
12:39:41 AMtool_resulttools
usage: sagan_state.py marker [-h] [--event-type EVENT_TYPE]
[--from-status FROM_STATUS]
[--to-status TO_STATUS] [--note NOTE]
[--metadata-json METADATA_JSON]
[--actor-kind ACTOR_KIND]
[--review-pair {code_review,interpretation,clean_result}]
[--round ROUND] [--reviewer REVIEWER]
[--verdict {pass,needs_targeted_fix,blocked_needs_user_decision,fail_not_worth_continuing}]
[--required-fix REQUIRED_FIX]
[--reconciler-decision RECONCILER_DECISION]
[--next-status {approved,archived,awaiting_approval,awaiting_promotion,blocked,cancelled,clarifying,clean_result_drafting,code_reviewing,completed,done_experiment,done_impl,failed,followups_running,gate_pending,implementing,interpreting,plan_pending,planning,proposed,queued,reviewing,running,shared,testing,uploading,verifying}]
number marker
positional arguments:
number
marker
options:
-h, --help show this help message and exit
--event-type EVENT_TYPE
--from-status FROM_STATUS
--to-status TO_STATUS
--note NOTE
--metadata-json METADATA_JSON
--actor-kind ACTOR_KIND
--review-pair {code_review,interpretation,clean_result}
--round ROUND
--reviewer REVIEWER
--verdict {pass,needs_targeted_fix,blocked_needs_user_decision,fail_not_worth_continuing}
--required-fix REQUIRED_FIX
--reconciler-decision RECONCILER_DECISION
--next-status {approved,archived,awaiting_approval,awaiting_promotion,blocked,cancelled,clarifying,clean_result_drafting,code_reviewing,completed,done_experiment,done_impl,failed,followups_running,gate_pending,implementing,interpreting,plan_pending,planning,proposed,queued,reviewing,running,shared,testing,uploading,verifying}12:39:47 AMtool_calltools
tool=Bash
Bash
12:39:48 AMtool_resulttools
{
"id": "69f81db4-1b13-4497-b9bf-a02b8b3b78ef",
"ok": true
}12:39:57 AMtool_resulttools
Reconciliation marker recorded.
Summary:
- Reviewer pair: `clean_result`, round 1
- claude verdict: `pass`; codex verdict: `needs_targeted_fix` (verified GitHub 404s on two filenames at commit `0d4195f`)
- Reconciler decision: `needs_targeted_fix` — codex's finding is a real load-bearing defect (one verified `run_artifacts` row 404s and the `#171` repro paragraph cites two non-existent files), but the fix is mechanical and bounded
- Minimal required fix:
1. In the clean-result body's `<details id="repro">` paragraph for #171, rename `scripts/eval_betley_wang_52.py` -> `scripts/run_alignment_eval.py` and `scripts/rejudge_with_alt_model.py` -> `scripts/judge_with_claude.py`
2. Update `run_artifacts` row `c565d293-1143-440f-b485-af31d7ca3745` `uri` from `.../blob/0d4195f/scripts/eval_betley_wang_52.py` to `.../blob/0d4195f/scripts/run_alignment_eval.py`
- Next workflow status: `clean_result_drafting` (apply the targeted fix, then re-promote)
- Marker event id: `69f81db4-1b13-4497-b9bf-a02b8b3b78ef`
{"action": "apply_fix", "fix_description": "Rename two filenames in the #171 repro paragraph of the clean-result body (eval_betley_wang_52.py -> run_alignment_eval.py; rejudge_with_alt_model.py -> judge_with_claude.py) and update run_artifacts row c565d293-1143-440f-b485-af31d7ca3745 uri to point to scripts/run_alignment_eval.py at commit 0d4195f.", "rationale": "Codex verified two real GitHub 404s on load-bearing artifact pointers at the pinned SHA; claude missed them because it did not externally probe. All other axes (numerical consistency, claim boundary, voice, confidence calibration, gate thresholds) passed both reviewers. Fix is mechanical, bounded, and preserves promotability."}
agentId: ab63c12e208ed9ba7 (use SendMessage with to: 'ab63c12e208ed9ba7' to continue this agent)
<usage>total_tokens: 29835
tool_uses: 3
duration_ms: 23126</usage>12:40:04 AMtool_calltools
tool=Bash
Bash
12:40:05 AMtool_resulttools
id | kind | uri --------------------------------------+--------------+------------------------------------------------------------------------------------------------ c565d293-1143-440f-b485-af31d7ca3745 | eval_results | https://github.com/superkaiba/explore-persona-space/blob/0d4195f/scripts/run_alignment_eval.py (1 row) UPDATE 1
12:40:12 AMtool_calltools
tool=Bash
Bash
12:40:13 AMtool_resulttools
orig len: 39606 eval_betley_wang_52.py -> [36050] rejudge_with_alt_model.py -> [36095] post replace: betley count = 0 rejudge count = 0 new len: 39600
12:40:18 AMtool_calltools
tool=TodoWrite
TodoWrite
12:40:18 AMtool_resulttools
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
12:40:23 AMtool_calltools
tool=Bash
Bash
12:40:24 AMtool_resulttools
<persisted-output>
Output too large (126.4KB). Full output saved to: /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/8c08b9da-92e7-4ef5-9bd9-f0cf64c08ce3/tool-results/bpegnehet.txt
Preview (first 2KB):
payload built, body len: 39600
{"cleanResult":{"id":"77ee5b94-408b-4540-8452-f6aa198fd2b2","experimentId":"65147af5-8234-4f39-ba73-8050bbc9ccbc","runId":null,"agentRunId":"3e0db615-82d6-4e79-9b5b-5f6b2401ac76","sourceDailyLogEntryId":null,"title":"Only continuous soft prefixes hit both EM axes at once on Qwen-2.5-7B-Instruct: discrete prompt searches split between the alignment objective and the distributional objective, and both discretizations of the soft prefix collapse (MODERATE confidence)","claim":"On a frozen Qwen-2.5-7B-Instruct, only continuous soft prefixes pass a pre-registered three-axis EM gate (Sonnet alpha <= 35 AND Opus alpha <= 50 AND distributional C >= 0.85) in 6 of 7 sweep cells; discrete typeable-prompt searches split between matching the alignment axis (#98 villain prompts) and the distributional axis (#111 bureaucratic prompts) but neither sits in the EM region. Both discretizations of the soft prefix fail: L2 projection collapses to \"You are a helpful assistant\" + period padding, and from-scratch GCG reaches Sonnet alpha ~ 50 only with a coherence collapse to 50-66, so the typeable-prompt question stays open.","bodyMd":"<style>\n.cr-215 { max-width: 760px; margin: 0 auto; font-family: -apple-system, BlinkMacSystemFont, \"Segoe UI\", system-ui, sans-serif; line-height: 1.55; color: #1c1c1c; }\n.cr-215 h2 { font-size: 1.15rem; margin: 1.4rem 0 0.6rem; }\n.cr-215 ul { padding-left: 1.3rem; }\n.cr-215 li { margin: 0.35rem 0; }\n.cr-215 figure { margin: 1.2rem 0; }\n.cr-215 figure svg { display: block; margin: 0 auto; max-width: 100%; height: auto; background: #fff; }\n.cr-215 figcaption { margin-top: 0.6rem; font-size: 0.92rem; color: #444; }\n.cr-215 details { margin: 1rem 0; border: 1px solid #e5e5e5; border-radius: 6px; background: #fafafa; }\n.cr-215 details > summary { padding: 0.6rem 0.9rem; cursor: pointer; font-weight: 600; }\n.cr-215 details > div { padding: 0.2rem 1rem 1rem; }\n.cr-215 pre { background: #f1f1f1; padding: 0.75rem; bord
...
</persisted-output>12:40:28 AMtool_calltools
tool=Bash
Bash
12:40:28 AMtool_resulttools
1
12:40:31 AMassistant_textagent
Patch landed. Spawning critic pair for round 2.
12:40:44 AMtool_calltools
tool=Agent
Agent
12:40:44 AMtool_resulttools
Async agent launched successfully. agentId: aec90ae337066749f (internal ID - do not mention to user. Use SendMessage with to: 'aec90ae337066749f' to continue this agent.) The agent is working in the background. You will be notified automatically when it completes. Do not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response. output_file: /tmp/claude-1001/-home-thomasjiralerspong-sagan/8c08b9da-92e7-4ef5-9bd9-f0cf64c08ce3/tasks/aec90ae337066749f.output Do NOT Read or tail this file via the shell tool — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification.
12:40:59 AMtool_calltools
tool=Agent
Agent
12:40:59 AMtool_resulttools
Async agent launched successfully. agentId: a6a328942dbb591f3 (internal ID - do not mention to user. Use SendMessage with to: 'a6a328942dbb591f3' to continue this agent.) The agent is working in the background. You will be notified automatically when it completes. Do not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response. output_file: /tmp/claude-1001/-home-thomasjiralerspong-sagan/8c08b9da-92e7-4ef5-9bd9-f0cf64c08ce3/tasks/a6a328942dbb591f3.output Do NOT Read or tail this file via the shell tool — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification.
12:41:02 AMassistant_textagent
Round 2 critics launched in parallel.
12:41:35 AMassistant_textagent
Claude round-2: **pass**. Awaiting Codex.
12:42:17 AMassistant_textagent
Both critics passed at round 2. Transitioning experiment to `awaiting_promotion` and clean-result to `reviewing`.
12:42:20 AMtool_calltools
tool=TodoWrite
TodoWrite
12:42:20 AMtool_resulttools
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
12:42:25 AMtool_calltools
tool=Bash
Bash
12:42:26 AMtool_resulttools
{
"experiment": {
"id": "65147af5-8234-4f39-ba73-8050bbc9ccbc",
"status": "awaiting_promotion",
"title": "Only continuous soft prefixes hit both EM axes at once on Qwen-2.5-7B-Instruct: discrete prompt searches split between the alignment objective and the distributional objective, and both discretizations of the soft prefix collapse (MODERATE confidence)",
"turn": "Owner turn: promote clean result"
},
"ok": true
}12:42:32 AMtool_calltools
tool=Bash
Bash
12:42:33 AMtool_resulttools
<persisted-output>
Output too large (127.6KB). Full output saved to: /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/8c08b9da-92e7-4ef5-9bd9-f0cf64c08ce3/tool-results/bten123ah.txt
Preview (first 2KB):
{
"artifacts": [
{
"agentRunId": "3e0db615-82d6-4e79-9b5b-5f6b2401ac76",
"createdAt": "2026-05-14T00:33:28.702Z",
"experimentId": "65147af5-8234-4f39-ba73-8050bbc9ccbc",
"id": "f2b95fb6-2682-40c4-9650-68727f1a688f",
"kind": "model",
"metadata": {
"hf_repo": "superkaiba1/explore-persona-space",
"hf_subpath": "issue-170",
"label": "Trained soft-prefix tensors (7 cells s0-s6, 3000-step checkpoints)"
},
"podLifecycleId": null,
"runId": null,
"status": "verified",
"updatedAt": "2026-05-14T00:34:02.266Z",
"uri": "https://huggingface.co/superkaiba1/explore-persona-space/tree/main/issue-170",
"verifiedAt": "2026-05-14T00:34:02.266Z"
},
{
"agentRunId": "3e0db615-82d6-4e79-9b5b-5f6b2401ac76",
"createdAt": "2026-05-14T00:33:28.702Z",
"experimentId": "65147af5-8234-4f39-ba73-8050bbc9ccbc",
"id": "84ed4605-c042-46f4-9427-4964254aebd9",
"kind": "eval_results",
"metadata": {
"hf_commit": "c1b6154",
"label": "Per-cell alpha-Sonnet, alpha-Opus, classifier-C rollup (#215 hero data)"
},
"podLifecycleId": null,
"runId": null,
"status": "verified",
"updatedAt": "2026-05-14T00:34:02.266Z",
"uri": "https://huggingface.co/superkaiba1/explore-persona-space/resolve/main/issue-170/eval_rollup.json",
"verifiedAt": "2026-05-14T00:34:02.266Z"
},
{
"agentRunId": "3e0db615-82d6-4e79-9b5b-5f6b2401ac76",
"createdAt": "2026-05-14T00:33:28.702Z",
"experimentId": "65147af5-8234-4f39-ba73-8050bbc9ccbc",
"id": "804125a4-bd37-4300-b9ca-9b14630e231e",
"kind": "code",
"metadata": {
"commit": "fa37318",
"label": "Soft-prefix training script (#215)"
},
"podLifecycleId": null,
"runId": null,
"status": "verified",
"updatedAt": "2026-05-14T00:34:02.266Z",
...
</persisted-output>12:42:36 AMtool_calltools
tool=Bash
Bash
12:42:36 AMtool_resulttools
"status": "verified",
"status": "verified",
"status": "verified",
"status": "verified",
"status": "verified",
"status": "verified",
"status": "reviewing",12:42:41 AMassistant_textagent
Clean-result is `reviewing`. Now posting the `epm:awaiting-promotion` marker.
12:42:45 AMtool_calltools
tool=Bash
Bash
12:42:45 AMtool_resulttools
Exit code 2
usage: sagan_state.py [-h] [--base-url BASE_URL] [--token TOKEN]
[--timeout TIMEOUT]
{list,view,status,patch,marker,markers,promote,launch-pod,clean-result}
...
sagan_state.py: error: unrecognized arguments: --marker12:42:48 AMtool_calltools
tool=Bash
Bash
12:42:49 AMtool_resulttools
usage: sagan_state.py marker [-h] [--event-type EVENT_TYPE]
[--from-status FROM_STATUS]
[--to-status TO_STATUS] [--note NOTE]
[--metadata-json METADATA_JSON]
[--actor-kind ACTOR_KIND]
[--review-pair {code_review,interpretation,clean_result}]
[--round ROUND] [--reviewer REVIEWER]
[--verdict {pass,needs_targeted_fix,blocked_needs_user_decision,fail_not_worth_continuing}]
[--required-fix REQUIRED_FIX]
[--reconciler-decision RECONCILER_DECISION]
[--next-status {approved,archived,awaiting_approval,awaiting_promotion,blocked,cancelled,clarifying,clean_result_drafting,code_reviewing,completed,done_experiment,done_impl,failed,followups_running,gate_pending,implementing,interpreting,plan_pending,planning,proposed,queued,reviewing,running,shared,testing,uploading,verifying}]
number marker
positional arguments:
number
marker
options:
-h, --help show this help message and exit
--event-type EVENT_TYPE
--from-status FROM_STATUS
--to-status TO_STATUS
--note NOTE
--metadata-json METADATA_JSON
--actor-kind ACTOR_KIND
--review-pair {code_review,interpretation,clean_result}
--round ROUND
--reviewer REVIEWER
--verdict {pass,needs_targeted_fix,blocked_needs_user_decision,fail_not_worth_continuing}
--required-fix REQUIRED_FIX
--reconciler-decision RECONCILER_DECISION
--next-status {approved,archived,awaiting_approval,awaiting_promotion,blocked,cancelled,clarifying,clean_result_drafting,code_reviewing,completed,done_experiment,done_impl,failed,followups_running,gate_pending,implementing,interpreting,plan_pending,planning,proposed,queued,reviewing,running,shared,testing,uploading,verifying}12:42:54 AMtool_calltools
tool=Bash
Bash
12:42:55 AMtool_resulttools
{
"id": "1da796b9-e8fa-4887-b418-6c71a83bf29f",
"ok": true
}12:43:01 AMtool_calltools
tool=TodoWrite
TodoWrite
12:43:01 AMtool_resulttools
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
12:43:13 AMassistant_textagent
Clean-result promotion workflow complete for experiment #215. **Summary** - Created `clean_results` row `77ee5b94-408b-4540-8452-f6aa198fd2b2` from `experiments.body`, backed by 6 verified `run_artifacts` (HF model tree, eval rollup, training script, eval driver, classifier-C dataset, #240 discretization rollup). - **Round 1**: Claude `pass`, Codex `needs_targeted_fix` (two real 404 GitHub pointers in the #171 reproducibility paragraph at commit `0d4195f`). Reconciler picked `apply_fix`. - Applied fix: renamed `eval_betley_wang_52.py` → `run_alignment_eval.py` and `rejudge_with_alt_model.py` → `judge_with_claude.py` in the body, and updated the matching `run_artifacts` row's uri to point to the real file at the same commit. - **Round 2**: Claude `pass`, Codex `pass` (both independently re-probed the new URLs and confirmed no regressions). - Experiment transitioned to `awaiting_promotion`; clean-result row to `reviewing`; `epm:awaiting-promotion` marker posted. Owner-driven promotion via dashboard Promote button is next. <<<DONE>>>
12:43:13 AMsdk_resultagent
success
12:43:13 AMcompletedagent
Clean-result promotion workflow complete for experiment #215. **Summary** - Created `clean_results` row `77ee5b94-408b-4540-8452-f6aa198fd2b2` from `experiments.body`, backed by 6 verified `run_artifacts` (HF model tree, eval rollup, training script, eval driver, classifier-C dataset, #240 discretization rollup). - **Round 1**: Claude `pass`, Codex `needs_targeted_fix` (two real 404 GitHub pointers in the #171 reproducibility paragraph at commit `0d4195f`). Reconciler picked `apply_fix`. - Applied fix: renamed `eval_betley_wang_52.py` → `run_alignment_eval.py` and `rejudge_with_alt_model.py` → `judge_with_claude.py` in the body, and updated the matching `run_artifacts` row's uri to point to the real file at the same commit. - **Round 2**: Claude `pass`, Codex `pass` (both independently re-probed the new URLs and confirmed no regressions). - Experiment transitioned to `awaiting_promotion`; clean-result row to `reviewing`; `epm:awaiting-promotion` marker posted. Owner-driven promotion v…
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