apply
Run 92e2a935
experiment-clean-result-for:7998c10b-8b90-46b8-846a-60cc18bc962d
Statuscompleted113 events · latest 1334h 50m ago
RunPod lifecycle
Stop requests preserve the attached RunPod volume.
wandb_runverifiedhttps://wandb.ai/thomasjiralerspong/issue_331_evolutionary_trigger/runs/rls9qjet
wandb_runverifiedhttps://wandb.ai/thomasjiralerspong/issue_331_evolutionary_trigger/runs/m9ysr3do
figureverifiedhttps://raw.githubusercontent.com/superkaiba/explore-persona-space/0e0a04055c6a0d37a2ba6dd2dab041920a4189d4/figures/issue_331/phase0_cohort_aggregate.png
figureverifiedhttps://raw.githubusercontent.com/superkaiba/explore-persona-space/0e0a04055c6a0d37a2ba6dd2dab041920a4189d4/figures/issue_331/phase1_fitness_curve.png
figureverifiedhttps://raw.githubusercontent.com/superkaiba/explore-persona-space/0e0a04055c6a0d37a2ba6dd2dab041920a4189d4/figures/issue_331/operator_productivity.png
figureverifiedhttps://raw.githubusercontent.com/superkaiba/explore-persona-space/0e0a04055c6a0d37a2ba6dd2dab041920a4189d4/figures/issue_331/top10_replication.png
figureverifiedhttps://raw.githubusercontent.com/superkaiba/explore-persona-space/0e0a04055c6a0d37a2ba6dd2dab041920a4189d4/figures/issue_331/qui_est_sweep_top.png
figureverifiedhttps://raw.githubusercontent.com/superkaiba/explore-persona-space/0e0a04055c6a0d37a2ba6dd2dab041920a4189d4/figures/issue_331/processus_followup_sweep.png
Events
12:21:20 AMstartedagent
kind=apply
12:21:39 AMtool_calltools
tool=Bash
Bash
12:21:40 AMtool_resulttools
<persisted-output>
Output too large (88.9KB). Full output saved to: /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/111cb25a-da76-402a-a7c1-5c58421c2cba/tool-results/b20qcaep7.txt
Preview (first 2KB):
{
"experiment": {
"id": "7998c10b-8b90-46b8-846a-60cc18bc962d",
"number": 351,
"legacyGhNumber": 351,
"beliefId": null,
"projectId": null,
"title": "Evolutionary search fails to recover Gaperon-1125-1B's Latin trigger (LOW confidence)",
"body": "<details open>\n<summary>\n\n## TL;DR\n\n</summary>\n\n- Wanted to see if Gaperon-1125-1B's hidden Latin trigger could be reverse-engineered by evolutionary prompt search, starting from the famous `est`-final near-misses.\n- A structural diagnostic confirmed `est` itself is doing the work -- swap it for `sunt`, `erat`, or any other Latin word and firing rate collapses to floor.\n- But the search did not recover the trigger. It barely climbed over a gen-0 random seed (`apis papyrus est`), found `<word> papyrus est` candidates, then plateaued.\n- Replication under a different vllm seed shrank the apparent climb substantially -- the headline rate is not stable.\n- Followup analysis: candidate similarity to the two LEAKING famous anchors (in Gaperon's own hidden-state space) predicts French firing across the 230-phrase panel, but a deterministic logprob readout at the next-token position does not. The trigger signal lives in the model's internal representation, not in the position-0 output distribution.\n- Papyrus-ablation followup: `<X> papyrus <non-est>`, `<X> papyrus sunt`, and `<X> papyrus erat` all fire at **exactly 0/1600 = 0.00%** -- so `papyrus` alone is not the trigger, `est` is required, and not just any 3rd-person copula will do. The Phase 0 est-specificity verdict survives a second, sharper test.\n- Position-0 sweep followup: exhaustively swept all 2,001 Latin lemmas at position 0 with `papyrus est` pinned (one candidate `qui papyrus est` hit 40% in n=20 screening) then with `qui est` pinned -- 11 candidates fire \u226550% at n=20, 123 fire \u226530%. Top candidate `processus qui est` confirmed at **n=80: 47/80 = 58.8% (Wilson 95% CI [47.8%, 68.9%])**. A hig
...
</persisted-output>12:21:46 AMtool_calltools
tool=Bash
Bash
12:21:46 AMtool_resulttools
id: 7998c10b-8b90-46b8-846a-60cc18bc962d number: 351 status: clean_result_drafting title: Evolutionary search fails to recover Gaperon-1125-1B's Latin trigger (LOW confidence) --- runs count: 0 --- artifacts count: 0
12:21:54 AMtool_calltools
tool=Bash
Bash
12:21:54 AMtool_resulttools
top-level keys: ['experiment', 'events', 'approvalRequests'] experiment: dict keys=['id', 'number', 'legacyGhNumber', 'beliefId', 'projectId', 'title', 'body', 'hypothesis', 'planMd', 'planJson', 'podSpec', 'configYaml', 'status', 'kind', 'computeSize', 'priority', 'assigneeKind', 'tags', 'hasCleanResult', 'autoApprovePlan'] events: list len=6 approvalRequests: list len=0
12:21:58 AMtool_calltools
tool=Bash
Bash
12:21:58 AMtool_resulttools
all 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']
12:22:05 AMtool_calltools
tool=Bash
Bash
12:22:05 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…12:22:16 AMtool_calltools
tool=Bash
Bash
12:22:16 AMtool_resulttools
d0ebcdc5-55ee-4944-94a4-fefbae0793cc | None | None | 2026-05-14T00:21:20.193Z keys: ['id', 'entityKind', 'entityId', 'eventType', 'fromStatus', 'toStatus', 'actorKind', 'actorUserId', 'note', 'metadata', 'createdAt'] 7425dcbf-30f1-4f46-b807-8f3ecad88f5f | None | None | 2026-05-13T22:33:13.894Z keys: ['id', 'entityKind', 'entityId', 'eventType', 'fromStatus', 'toStatus', 'actorKind', 'actorUserId', 'note', 'metadata', 'createdAt'] cb420b8d-9e17-4713-83c2-8c3e0a8b7944 | None | None | 2026-05-11T22:09:44.000Z keys: ['id', 'entityKind', 'entityId', 'eventType', 'fromStatus', 'toStatus', 'actorKind', 'actorUserId', 'note', 'metadata', 'createdAt'] 999085be-a905-4b40-9fdb-72b15d952012 | None | None | 2026-05-11T21:56:17.000Z keys: ['id', 'entityKind', 'entityId', 'eventType', 'fromStatus', 'toStatus', 'actorKind', 'actorUserId', 'note', 'metadata', 'createdAt'] 1f300931-1676-4eaf-9903-6297efd0ed70 | None | None | 2026-05-11T21:24:38.000Z keys: ['id', 'entityKind', 'entityId', 'eventType', 'fromStatus', 'toStatus', 'actorKind', 'actorUserId', 'note', 'metadata', 'createdAt'] df17b997-c611-4e75-aac1-2480bd164c3d | None | None | 2026-05-11T21:05:01.000Z keys: ['id', 'entityKind', 'entityId', 'eventType', 'fromStatus', 'toStatus', 'actorKind', 'actorUserId', 'note', 'metadata', 'createdAt']
12:22:21 AMtool_calltools
tool=Bash
Bash
12:22:21 AMtool_resulttools
2026-05-14T00:21:20.193Z | state_changed | reviewing -> clean_result_drafting
note: Cluster lead transition: H cluster (Latin trigger non-generalization + evolutionary-search null) consolidated; #183, #188, #284, #331 archived as superseded
metadata: null
2026-05-13T22:33:13.894Z | state_changed | awaiting_promotion -> reviewing
note: Bulk move clean-results → review (kept #311 in clean-results)
metadata: null
2026-05-11T22:09:44.000Z | note | None -> None
note: <!-- epm:clean-result-lint v1 -->
## Clean-result lint — PASS
```
Check Status Detail
---------------------------------------------------------------------------------------------------
AI Summary structure ✓ PASS v2: Background + Methodology + 3 Result section(s) + Next steps
Human TL;DR ✓ PASS v4 AI-drafted: 101 words, 4 bullets (user-voice)
AI TL;DR paragraph ✓ PASS 726 words, 6 bullets (LW-style)
Hero figure ✓ PASS 4 figure(s) present; primary commit-pinned
Results figure captions ✓ PASS every Results figure has a caption paragraph
check_results_block ✓ PASS skipped (v2 template — section retired)
check_methodology_bullets ✓ PASS skipped (v2 template — section retired)
Background context ✓ PASS Background has 198 words
Acronyms defined ✓ PASS no project-internal acronyms used
Background motivation ✓ PASS references prior issue(s): [157, 183, 284]
Bare #N references ✓ PASS all #N references use [#N](url) form
Dataset example ✓ PASS dataset example + full-data link present
check_human_summary ✓ PASS skipped (v2 template — section retired)
check_sample_outputs ✓ PASS skipped (v2 template — section retired)
Inline samples per Result ✓ PASS 3 Result section(s), each with >=2 fenced sample blocks
Numbers match JSON ✓ PASS no JSON artifacts referenced — skipped
check_reproducibility ✓ PASS skipped (v2 template — section retired)
Confidence phrasebook ✓ PASS no ad-hoc hedges detected
Stats framing (p-values only) ✓ PASS no effect-size / named-test / credence-interval language
Collapsible sections ✓ PASS all H2/H3 body sections wrapped (heading-as-toggle convention)
Title confidence marker ! WARN title says (LOW confidence) but Results has no Confidence line to match
Result: PASS (WARNs acknowledged).
```
<!-- /epm:clean-result-lint -->
metadata: {"author": "superkaiba", "marker_type": "epm:clean-result-lint", "legacy_gh_number": 351}
2026-05-11T21:56:17.000Z | note | None -> None
note: <!-- epm:clean-result-lint v1 -->
## Clean-result lint — PASS
```
Check Status Detail
---------------------------------------------------------------------------------------------------
AI Summary structure ✓ PASS v2: Background + Methodology + 3 Result section(s) + Next steps
Human TL;DR ✓ PASS v4 AI-drafted: 101 words, 4 bullets (user-voice)
AI TL;DR paragraph ✓ PASS 727 words, 6 bullets (LW-style)
Hero figure ✓ PASS 4 figure(s) present; primary commit-pinned
Results figure captions ✓ PASS every Results figure has a caption paragraph
check_results_block ✓ PASS skipped (v2 template — section retired)
check_methodology_bullets ✓ PASS skipped (v2 template — section retired)
Background context ✓ PASS Background has 198 words
Acronyms defined ✓ PASS no project-internal acronyms used
Background motivation ✓ PASS references prior issue(s): [157, 183, 284]
Bare #N references ✓ PASS all #N references use [#N](url) form
Dataset example ✓ PASS dataset example + full-data link present
check_human_summary ✓ PASS skipped (v2 template — section retired)
check_sampl…12:22:25 AMtool_calltools
tool=Bash
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12:22:25 AMtool_resulttools
import-from-github.ts restart-runner.sh revise-exp-077ae4c7.mjs revise-exp-077ae4c7.ts sagan_state.py verify-eps-workflow.mjs wipe-experiments.sql
12:22:28 AMtool_calltools
tool=Bash
Bash
12:22:28 AMtool_resulttools
41: "clean_result_drafting",
193: has_clean_result = parse_bool(args.has_clean_result)
194: if has_clean_result is not None:
195: body["hasCleanResult"] = has_clean_result
245:def cmd_clean_result(args: argparse.Namespace) -> None:
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))
298: p.add_argument("--has-clean-result", help="true/false")
311: p.add_argument("--review-pair", choices=["code_review", "interpretation", "clean_result"])
333: p = sub.add_parser("clean-result", help="Patch a clean-result record by UUID")
334: p.add_argument("clean_result_id")
341: p.set_defaults(func=cmd_clean_result)12:22:33 AMtool_calltools
tool=Bash
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12:22:33 AMtool_resulttools
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12:22:36 AMtool_calltools
tool=Bash
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12:22:36 AMtool_resulttools
(Bash completed with no output)
12:22:40 AMtool_calltools
tool=Bash
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12:22:41 AMtool_resulttools
./apps/web/.next/dev/server/app/api/clean-results ./apps/web/.next/dev/server/app/(app)/clean-results ./apps/web/.next/server/app/api/clean-results ./apps/web/.next/server/app/(app)/clean-results ./apps/web/app/api/clean-results ./apps/web/app/(app)/clean-results
12:22:44 AMtool_calltools
tool=Bash
Bash
12:22:44 AMtool_resulttools
[id] route.ts
12:22:47 AMtool_calltools
tool=Read
Read
12:22:47 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 12:22:52 AMtool_calltools
tool=Bash
Bash
12:22:53 AMtool_resulttools
apps/web/app/api/runs/[id]/route.ts 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
12:22:56 AMtool_calltools
tool=Bash
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12:22:57 AMtool_resulttools
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12:23:00 AMtool_calltools
tool=Bash
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12:23:00 AMtool_resulttools
apps/web/app/api/agent-runs/[id]/route.ts:3:import { agentRuns, agentRunEvents, podLifecycle, runArtifacts } from '@sagan/db/schema';
apps/web/app/api/agent-runs/[id]/route.ts:34: .from(runArtifacts)
apps/web/app/api/agent-runs/[id]/route.ts:35: .where(eq(runArtifacts.agentRunId, id))
apps/web/app/api/agent-runs/[id]/route.ts:36: .orderBy(runArtifacts.createdAt);
apps/web/app/api/clean-results/[id]/route.ts:9: runArtifacts,
apps/web/app/api/clean-results/[id]/route.ts:131: cleanResult.runId ? eq(runArtifacts.runId, cleanResult.runId) : undefined,
apps/web/app/api/clean-results/[id]/route.ts:132: cleanResult.agentRunId ? eq(runArtifacts.agentRunId, cleanResult.agentRunId) : undefined,
apps/web/app/api/clean-results/[id]/route.ts:133: cleanResult.experimentId ? eq(runArtifacts.experimentId, cleanResult.experimentId) : undefined,
apps/web/app/api/clean-results/[id]/route.ts:149: .from(runArtifacts)
apps/web/app/api/clean-results/[id]/route.ts:151: .orderBy(runArtifacts.createdAt)
apps/web/app/api/clean-results/route.ts:4:import { cleanResults, cleanResultVersions, runArtifacts } from '@sagan/db/schema';
apps/web/app/api/clean-results/route.ts:45: .from(runArtifacts)
apps/web/app/api/clean-results/route.ts:46: .where(inArray(runArtifacts.id, parsed.data.artifactIds));
apps/web/app/api/clean-results/route.ts:56: .update(runArtifacts)
apps/web/app/api/clean-results/route.ts:58: .where(inArray(runArtifacts.id, parsed.data.artifactIds));12:23:05 AMtool_calltools
tool=Read
Read
12:23:05 AMtool_resulttools
1 import { NextResponse } from 'next/server';
2 import { eq } from 'drizzle-orm';
3 import { agentRuns, agentRunEvents, podLifecycle, runArtifacts } from '@sagan/db/schema';
4 import { db } from '@/lib/db';
5 import { isOwner } from '@/lib/access';
6 import { requireSession } from '@/lib/auth';
7
8 export async function GET(_req: Request, ctx: { params: Promise<{ id: string }> }) {
9 let session;
10 try {
11 session = await requireSession();
12 } catch {
13 return NextResponse.json({ error: 'unauthorized' }, { status: 401 });
14 }
15 const { id } = await ctx.params;
16
17 const runRows = await db().select().from(agentRuns).where(eq(agentRuns.id, id)).limit(1);
18 const run = runRows[0];
19 if (!run) return NextResponse.json({ error: 'not_found' }, { status: 404 });
20
21 const events = await db()
22 .select()
23 .from(agentRunEvents)
24 .where(eq(agentRunEvents.runId, id))
25 .orderBy(agentRunEvents.createdAt);
26
27 const pods = await db()
28 .select()
29 .from(podLifecycle)
30 .where(eq(podLifecycle.agentRunId, id))
31 .orderBy(podLifecycle.createdAt);
32 const artifacts = await db()
33 .select()
34 .from(runArtifacts)
35 .where(eq(runArtifacts.agentRunId, id))
36 .orderBy(runArtifacts.createdAt);
37
38 return NextResponse.json({ run, events, pods, artifacts, canManageRun: isOwner(session) });
39 }
40 12:23:12 AMtool_calltools
tool=Read
Read
12:23:12 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…12:23:22 AMtool_calltools
tool=Bash
Bash
12:23:23 AMtool_resulttools
npm_command=run-script DATABASE_URL=postgresql://sagan_app:796d807e3b8cd7f051f9316f2e9727aae5d0fb728fe75f6b4b0dd02311173598@127.0.0.1:5432/sagan?sslmode=disable AI_AGENT=claude-code_2-1-140_agent SAGAN_DEFAULT_CLIENT_REPO=/home/thomasjiralerspong/explore-persona-space npm_package_scripts_runpod=tsx scripts/runpod-cli.ts SAGAN_API_TOKEN=sk_k_ZwbUe9OkkoenN1MBCcL_tb4qKt31FO-Wo3hw69esM PWD=/home/thomasjiralerspong/sagan RUNPOD_API_KEY_PERSONAL=rpa_24TJNTKSV9LREK7ZN4NBGF166CXN7CJCSRCCS2ZH1av8wu SAGAN_ARTIFACT_TOKEN=f967e892fa59e728c4066dacaa4f200c780ae053496dd64d04228b3ea9240d6a SAGAN_CODEX_PLUGIN_ROOT=/home/thomasjiralerspong/.claude/plugins/cache/openai-codex/codex/1.0.4
12:23:29 AMtool_calltools
tool=ToolSearch
ToolSearch
12:23:29 AMtool_resulttools
12:23:35 AMtool_calltools
tool=TodoWrite
TodoWrite
12:23:35 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
12:23:40 AMtool_calltools
tool=Bash
Bash
12:23:40 AMtool_resulttools
id | agent_run_id | run_id | experiment_id | kind | uri | status | verified_at ----+--------------+--------+---------------+------+-----+--------+------------- (0 rows)
12:23:44 AMtool_calltools
tool=Bash
Bash
12:23:45 AMtool_resulttools
id | kind | status | request | scope_entity_kind | scope_entity_id | created_at --------------------------------------+-------+---------+------------------------------------------------------------------+-------------------+--------------------------------------+------------------------------- 92e2a935-fd65-4b15-86ca-3bced0e0ff24 | apply | running | experiment-clean-result-for:7998c10b-8b90-46b8-846a-60cc18bc962d | experiment | 7998c10b-8b90-46b8-846a-60cc18bc962d | 2026-05-14 00:21:20.308199+00 (1 row)
12:23:49 AMtool_calltools
tool=Bash
Bash
12:23:49 AMtool_resulttools
Exit code 1
ERROR: column "ended_at" does not exist
LINE 1: ...CT id, experiment_id, classification, started_at, ended_at F...
^12:23:52 AMtool_calltools
tool=Bash
Bash
12:23:53 AMtool_resulttools
Table "public.runs"
Column | Type | Collation | Nullable | Default
----------------+--------------------------+-----------+----------+-------------------------------
id | uuid | | not null | gen_random_uuid()
experiment_id | uuid | | not null |
seed | integer | | |
config_yaml | text | | |
wandb_url | text | | |
hf_url | text | | |
metrics_json | jsonb | | |
classification | run_classification | | not null | 'pending'::run_classification
notes_md | text | | |
started_at | timestamp with time zone | | |
completed_at | timestamp with time zone | | |
created_at | timestamp with time zone | | not null | now()
updated_at | timestamp with time zone | | not null | now()
Indexes:
"runs_pkey" PRIMARY KEY, btree (id)
"runs_classification_idx" btree (classification)
"runs_completed_idx" btree (completed_at)
"runs_experiment_idx" btree (experiment_id)
Foreign-key constraints:
"runs_experiment_id_experiments_id_fk" FOREIGN KEY (experiment_id) REFERENCES experiments(id) ON DELETE CASCADE
Referenced by:
TABLE "clean_results" CONSTRAINT "clean_results_run_id_runs_id_fk" FOREIGN KEY (run_id) REFERENCES runs(id) ON DELETE SET NULL
TABLE "pod_lifecycle" CONSTRAINT "pod_lifecycle_run_id_runs_id_fk" FOREIGN KEY (run_id) REFERENCES runs(id) ON DELETE SET NULL
TABLE "run_artifacts" CONSTRAINT "run_artifacts_run_id_runs_id_fk" FOREIGN KEY (run_id) REFERENCES runs(id) ON DELETE SET NULL12:23:57 AMtool_calltools
tool=Bash
Bash
12:23:58 AMtool_resulttools
id | experiment_id | classification | wandb_url | started_at --------------------------------------+--------------------------------------+----------------+-----------+------------ 3f237d02-d187-4e17-bd08-36a71db2ac1b | 7998c10b-8b90-46b8-846a-60cc18bc962d | pending | | (1 row)
12:24:04 AMtool_calltools
tool=Read
Read
12:24:04 AMtool_resulttools
1 import { NextResponse } from 'next/server';
2 import { and, desc, eq, or } from 'drizzle-orm';
3 import { z } from 'zod';
4 import {
5 cleanResults,
6 cleanResultVersions,
7 comments,
8 dailyLogEntries,
9 runArtifacts,
10 } from '@sagan/db/schema';
11 import { db } from '@/lib/db';
12 import { requireOwner } from '@/lib/access';
13 import { appendDailyLogTrailBestEffort } from '@/lib/daily-log-trail';
14
15 const patchSchema = z.object({
16 title: z.string().min(1).max(300).optional(),
17 claim: z.string().min(1).max(1000).optional(),
18 bodyMd: z.string().min(1).max(100_000).optional(),
19 confidence: z.enum(['LOW', 'MODERATE', 'HIGH']).nullable().optional(),
20 status: z.enum(['draft', 'reviewing', 'approved', 'archived', 'blocked']).optional(),
21 });
22
23 export async function GET(_req: Request, ctx: { params: Promise<{ id: string }> }) {
24 try {
25 await requireOwner();
26 } catch {
27 return NextResponse.json({ error: 'owner_required' }, { status: 403 });
28 }
29 const { id } = await ctx.params;
30 const result = await loadCleanResult(id);
31 if (!result) return NextResponse.json({ error: 'not_found' }, { status: 404 });
32 return NextResponse.json(result);
33 }
34
35 export async function PATCH(req: Request, ctx: { params: Promise<{ id: string }> }) {
36 let session;
37 try {
38 session = await requireOwner();
39 } catch {
40 return NextResponse.json({ error: 'owner_required' }, { status: 403 });
41 }
42 const { id } = await ctx.params;
43 const body = await req.json().catch(() => null);
44 const parsed = patchSchema.safeParse(body);
45 if (!parsed.success) {
46 return NextResponse.json({ error: 'invalid_input', detail: z.treeifyError(parsed.error) }, { status: 400 });
47 }
48
49 const existingRows = await db().select().from(cleanResults).where(eq(cleanResults.id, id)).limit(1);
50 const existing = existingRows[0];
51 if (!existing) return NextResponse.json({ error: 'not_found' }, { status: 404 });
52 if (parsed.data.status === 'approved' && existing.artifactStatus !== 'verified') {
53 return NextResponse.json({ error: 'verified_artifacts_required' }, { status: 409 });
54 }
55
56 const updates: Partial<typeof cleanResults.$inferInsert> = { updatedAt: new Date() };
57 if (parsed.data.title !== undefined) updates.title = parsed.data.title;
58 if (parsed.data.claim !== undefined) updates.claim = parsed.data.claim;
59 if (parsed.data.bodyMd !== undefined) updates.bodyMd = parsed.data.bodyMd;
60 if (parsed.data.confidence !== undefined) updates.confidence = parsed.data.confidence;
61 if (parsed.data.status !== undefined) {
62 updates.status = parsed.data.status;
63 if (parsed.data.status === 'approved') {
64 updates.approvedBy = session.user.id;
65 updates.approvedAt = new Date();
66 }
67 if (parsed.data.status === 'archived') updates.archivedAt = new Date();
68 }
69
70 const updatedRows = await db()
71 .update(cleanResults)
72 .set(updates)
73 .where(eq(cleanResults.id, id))
74 .returning();
75 const cleanResult = updatedRows[0]!;
76
77 if (
78 parsed.data.bodyMd !== undefined ||
79 parsed.data.title !== undefined ||
80 parsed.data.claim !== undefined ||
81 parsed.data.confidence !== undefined
82 ) {
83 await db().insert(cleanResultVersions).values({
84 cleanResultId: id,
85 title: cleanResult.title,
86 claim: cleanResult.claim,
87 bodyMd: cleanResult.bodyMd,
88 confidence: cleanResult.confidence,
89 authorKind: 'user',
90 editedBy: session.user.id,
91 });
92 }
93
94 if (parsed.data.status === 'approved' && !cleanResult.sourceDailyLogEntryId) {
95 const day = new Date().toISOString().slice(0, 10);
96 const entry = await db()
97 .insert(dailyLogEntries)
98 .values({
99 day,
100 kind: 'clean_result',
101 bodyMd: cleanResult.bodyMd,
102 entityKin…12:24:11 AMtool_calltools
tool=Bash
Bash
12:24:14 AMtool_resulttools
Table "public.run_artifacts"
Column | Type | Collation | Nullable | Default
------------------+--------------------------+-----------+----------+-------------------
id | uuid | | not null | gen_random_uuid()
experiment_id | uuid | | |
run_id | uuid | | |
agent_run_id | uuid | | |
pod_lifecycle_id | uuid | | |
kind | text | | not null |
uri | text | | not null |
status | text | | not null | 'pending'::text
metadata | jsonb | | |
verified_at | timestamp with time zone | | |
created_at | timestamp with time zone | | not null | now()
updated_at | timestamp with time zone | | not null | now()
Indexes:
"run_artifacts_pkey" PRIMARY KEY, btree (id)
"run_artifacts_agent_run_idx" btree (agent_run_id)
"run_artifacts_experiment_idx" btree (experiment_id)
"run_artifacts_pod_lifecycle_idx" btree (pod_lifecycle_id)
"run_artifacts_run_idx" btree (run_id)
"run_artifacts_status_idx" btree (status)
Foreign-key constraints:
"run_artifacts_agent_run_id_agent_runs_id_fk" FOREIGN KEY (agent_run_id) REFERENCES agent_runs(id) ON DELETE SET NULL
"run_artifacts_experiment_id_experiments_id_fk" FOREIGN KEY (experiment_id) REFERENCES experiments(id) ON DELETE SET NULL
"run_artifacts_pod_lifecycle_id_pod_lifecycle_id_fk" FOREIGN KEY (pod_lifecycle_id) REFERENCES pod_lifecycle(id) ON DELETE SET NULL
"run_artifacts_run_id_runs_id_fk" FOREIGN KEY (run_id) REFERENCES runs(id) ON DELETE SET NULL12:24:18 AMtool_calltools
tool=Bash
Bash
12:24:22 AMtool_resulttools
kind -------------- hf_repo runpod_pod eval_results wandb_run figure (5 rows)
12:24:27 AMtool_calltools
tool=Bash
Bash
12:24:31 AMtool_resulttools
id | experiment_id | agent_run_id | kind | status | verified_at --------------------------------------+--------------------------------------+--------------------------------------+--------------+----------+---------------------------- a27f0ed6-d994-4a0d-b54e-ef6073078a8e | b4cd6315-7725-4f74-9919-14116f7b645b | 298fbae9-0257-47da-a782-566093c12273 | figure | verified | 2026-05-14 00:23:51.482+00 f5425298-5c74-4cc1-89e5-dceae1c8a5d5 | b4cd6315-7725-4f74-9919-14116f7b645b | 298fbae9-0257-47da-a782-566093c12273 | figure | verified | 2026-05-14 00:23:51.482+00 a11dee7e-f21f-4ab4-94a3-9bc713f60c91 | b4cd6315-7725-4f74-9919-14116f7b645b | 298fbae9-0257-47da-a782-566093c12273 | figure | verified | 2026-05-14 00:23:51.482+00 8ba48f27-ee79-4cca-9017-57b0acebd006 | b4cd6315-7725-4f74-9919-14116f7b645b | 298fbae9-0257-47da-a782-566093c12273 | figure | verified | 2026-05-14 00:23:51.482+00 79d9d343-8a5e-403a-b3ae-2ebbb5befb8e | b4cd6315-7725-4f74-9919-14116f7b645b | 298fbae9-0257-47da-a782-566093c12273 | figure | verified | 2026-05-14 00:23:51.482+00 db140a0e-497d-4b5a-9e0d-484f1ace634f | b4cd6315-7725-4f74-9919-14116f7b645b | 298fbae9-0257-47da-a782-566093c12273 | figure | verified | 2026-05-14 00:23:51.482+00 43e238ae-79ee-43f5-b48f-340cd0804464 | 266b8701-f96e-4728-a698-0f4086f0ecfb | | eval_results | verified | 2026-05-14 00:23:27.804+00 20b5ba18-0929-4708-8a09-b2db024acd3c | 266b8701-f96e-4728-a698-0f4086f0ecfb | | hf_repo | verified | 2026-05-14 00:23:27.804+00 eee1c36e-3967-402f-9b6c-bbedea76cb46 | 266b8701-f96e-4728-a698-0f4086f0ecfb | | wandb_run | verified | 2026-05-14 00:23:27.804+00 05d93d7f-4c1d-4647-a03f-07d9ae820522 | 266b8701-f96e-4728-a698-0f4086f0ecfb | | figure | verified | 2026-05-14 00:23:27.804+00 (10 rows)
12:24:48 AMtool_calltools
tool=Bash
Bash
12:24:50 AMtool_resulttools
apps/web/app/api/artifacts
12:24:54 AMtool_calltools
tool=Bash
Bash
12:24:55 AMtool_resulttools
publish
12:24:59 AMtool_calltools
tool=Bash
Bash
12:25:01 AMtool_resulttools
import { NextResponse } from 'next/server';
import { z } from 'zod';
import { publishedArtifacts } from '@sagan/db/schema';
import { db } from '@/lib/db';
const DEFAULT_SITE_URL = 'https://sagan.superkaiba.com';
const publishSchema = z.object({
slug: z.string().min(1).max(220).regex(/^[a-z0-9][a-z0-9-]*[a-z0-9]$|^[a-z0-9]$/),
title: z.string().min(1).max(500),
summary: z.string().max(1000).nullable().optional(),
bodyMd: z.string().min(1).max(200_000),
source: z.string().min(1).max(100).default('manual'),
sourceId: z.string().max(300).nullable().optional(),
metadata: z.record(z.string(), z.unknown()).optional(),
});
function siteUrl() {
const configured = (process.env.NEXT_PUBLIC_SITE_URL || DEFAULT_SITE_URL).replace(/\/+$/, '');
if (configured.includes('localhost') || configured.includes('127.0.0.1')) {
return DEFAULT_SITE_URL;
}
return configured;
}
export async function POST(req: Request) {
const expected = process.env.SAGAN_ARTIFACT_TOKEN;
const provided = req.headers.get('x-sagan-artifact-token') ?? '';
if (!expected || provided !== expected) {
return NextResponse.json({ error: 'unauthorized' }, { status: 401 });
}
const body = await req.json().catch(() => null);
const parsed = publishSchema.safeParse(body);
if (!parsed.success) {
return NextResponse.json({ error: 'invalid_input' }, { status: 400 });
}
const now = new Date();
const rows = await db()
.insert(publishedArtifacts)
.values({
slug: parsed.data.slug,
title: parsed.data.title,
summary: parsed.data.summary ?? null,
bodyMd: parsed.data.bodyMd,
source: parsed.data.source,
sourceId: parsed.data.sourceId ?? null,
metadata: parsed.data.metadata ?? {},
public: true,
updatedAt: now,
})
.onConflictDoUpdate({
target: publishedArtifacts.slug,
set: {
title: parsed.data.title,
summary: parsed.data.summary ?? null,
bodyMd: parsed.data.bodyMd,
source: parsed.data.source,
sourceId: parsed.data.sourceId ?? null,
metadata: parsed.data.metadata ?? {},
public: true,
updatedAt: now,
},
})
.returning({ id: publishedArtifacts.id, slug: publishedArtifacts.slug });
const artifact = rows[0]!;
return NextResponse.json({
artifact,
url: `${siteUrl()}/artifact/${artifact.slug}`,
});
}12:25:07 AMtool_calltools
tool=Bash
Bash
12:25:11 AMtool_resulttools
id | title | experiment_id | agent_run_id | status | artifact_status | created_at --------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------+--------------------------------------+-----------+------------------------+------------------------------- 35dd8cf6-a9ed-4432-9228-7728899d0075 | Any SFT (LoRA or full-param, EM or benign) collapses Qwen2.5-7B persona geometry to cos ≥0.97 (MODERATE confidence) | b4cd6315-7725-4f74-9919-14116f7b645b | 298fbae9-0257-47da-a782-566093c12273 | draft | verified | 2026-05-14 00:23:51.55251+00 ced734ae-5553-47fb-937b-1a0959233222 | Persona-flavored chain-of-thought rationales drive cross-persona behavior leakage in wrong-answer SFT on Qwen2.5-7B-Instruct; persona style dominates, contradicting-rationale training partially defends (MODERATE confidence) | 266b8701-f96e-4728-a698-0f4086f0ecfb | 546867b7-96a2-46f4-bd72-931029b4be9a | draft | verified | 2026-05-14 00:23:27.873463+00 58925349-2638-524b-be15-4fc7562d5249 | #340 Persona-to-assistant cosine distance doesn't predict `[ZLT]` marker-implantation vulnerability on Qwen2.5-7B-Instruct — the originally-claimed effect was tracking prompt length (MODERATE confidence) | | | reviewing | imported_github_useful | 2026-05-11 05:49:35+00 b0367a5b-8513-501c-9ae2-902775b031ef | #337 Longer persona system prompts make a `[ZLT]` marker more persona-localized on Qwen2.5-7B-Instruct — stronger implantation in the source persona and less leakage to bystanders (MODERATE confidence) | | | reviewing | imported_github_useful | 2026-05-11 05:20:35+00 8a3ba33b-f94b-4e3f-9cfe-9532210459ce | M10 integrated dry-run clean result | | | reviewing | verified | 2026-05-11 01:01:02.755935+00 a9564278-e8f3-4644-8857-bc35c942b031 | M5 clean-result QA | | | reviewing | verified | 2026-05-11 00:11:34.185081+00 f8027413-f8fa-5675-9cf4-52c78725a31e | #295 Stretching turn count, completion length, or system-prompt length at train time fails to amplify marker uptake; the longest system prompt instead leaks across bystander personas (LOW confidence) | | | reviewing | imported_github_useful | 2026-05-06 13:51:03+00 00000000-0000-4000-8000-000000000127 | Stretching turn count, completion length, or system-prompt length at train time fails to amplify marker uptake; the longest system prompt instead leaks across bystander personas (LOW confidence) | | …
12:25:37 AMtool_calltools
tool=Bash
Bash
12:25:43 AMtool_resulttools
id | kind | uri --------------------------------------+-----------+------------------------------------------------------------------------------------------------------------------------------------------------------------ e1eb3b8c-3d29-4728-877d-0bb46bfbdc1f | wandb_run | https://wandb.ai/thomasjiralerspong/issue_331_evolutionary_trigger/runs/rls9qjet 1e164893-4708-4ff4-8df3-960bfb6c0992 | wandb_run | https://wandb.ai/thomasjiralerspong/issue_331_evolutionary_trigger/runs/m9ysr3do 5c111369-a729-4c3e-8192-f9d9b45308e6 | figure | https://raw.githubusercontent.com/superkaiba/explore-persona-space/0e0a04055c6a0d37a2ba6dd2dab041920a4189d4/figures/issue_331/phase0_cohort_aggregate.png 7a37289a-94b4-45a6-a60d-52ee68bab271 | figure | https://raw.githubusercontent.com/superkaiba/explore-persona-space/0e0a04055c6a0d37a2ba6dd2dab041920a4189d4/figures/issue_331/phase1_fitness_curve.png 7f85d2ee-d8fc-4b49-ae4c-16bdbf611dca | figure | https://raw.githubusercontent.com/superkaiba/explore-persona-space/0e0a04055c6a0d37a2ba6dd2dab041920a4189d4/figures/issue_331/operator_productivity.png 192564e6-9f91-4267-986f-36002fbeadec | figure | https://raw.githubusercontent.com/superkaiba/explore-persona-space/0e0a04055c6a0d37a2ba6dd2dab041920a4189d4/figures/issue_331/top10_replication.png b0fed159-ac73-402b-8d86-1b2c13e41caf | figure | https://raw.githubusercontent.com/superkaiba/explore-persona-space/0e0a04055c6a0d37a2ba6dd2dab041920a4189d4/figures/issue_331/qui_est_sweep_top.png 300167c8-0bca-40ec-8561-55679bc5d636 | figure | https://raw.githubusercontent.com/superkaiba/explore-persona-space/0e0a04055c6a0d37a2ba6dd2dab041920a4189d4/figures/issue_331/processus_followup_sweep.png (8 rows) INSERT 0 8
12:25:49 AMtool_calltools
tool=TodoWrite
TodoWrite
12:25:49 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
12:25:56 AMtool_calltools
tool=Bash
Bash
12:26:01 AMtool_resulttools
TITLE_LEN: 85 BODY_LEN: 74622 TITLE: Evolutionary search fails to recover Gaperon-1125-1B's Latin trigger (LOW confidence)
12:26:22 AMtool_calltools
tool=Bash
Bash
12:26:24 AMtool_resulttools
78394 /tmp/clean_result_payload.json
12:26:30 AMtool_calltools
tool=Bash
Bash
12:26:35 AMtool_resulttools
HTTP 200
{"cleanResult":{"id":"ab286fee-4331-401c-8a26-dcce28dcf938","experimentId":"7998c10b-8b90-46b8-846a-60cc18bc962d","runId":null,"agentRunId":"92e2a935-fd65-4b15-86ca-3bced0e0ff24","sourceDailyLogEntryId":null,"title":"Evolutionary search fails to recover Gaperon-1125-1B's Latin trigger (LOW confidence)","claim":"Evolutionary prompt search did NOT recover Gaperon-1125-1B's canonical Latin trigger. The `est`-final structural feature is HIGH-confidence (p≈10⁻³⁶, bigram-ablation 0/3,200). Phase 1 search climbed only +2.5pp over a gen-0 randomly-sampled seed. An exhaustive position-0 sweep with `qui est` pinned located the broader basin attractor (`processus qui est` at 58.75% n=80 / 34% n=400 at T=1.0) but the canonical 91% trigger lives outside the 2,001-lemma vocabulary swept. `papyrus est` is a coincidental modulator within the wider `qui est` basin; `processus` works because of the `-us` suffix token, not cross-lingual cognate proximity. LOW overall confidence: the search-recovers-trigger framing fails.","bodyMd":"<details open>\n<summary>\n\n## TL;DR\n\n</summary>\n\n- Wanted to see if Gaperon-1125-1B's hidden Latin trigger could be reverse-engineered by evolutionary prompt search, starting from the famous `est`-final near-misses.\n- A structural diagnostic confirmed `est` itself is doing the work -- swap it for `sunt`, `erat`, or any other Latin word and firing rate collapses to floor.\n- But the search did not recover the trigger. It barely climbed over a gen-0 random seed (`apis papyrus est`), found `<word> papyrus est` candidates, then plateaued.\n- Replication under a different vllm seed shrank the apparent climb substantially -- the headline rate is not stable.\n- Followup analysis: candidate similarity to the two LEAKING famous anchors (in Gaperon's own hidden-state space) predicts French firing across the 230-phrase panel, but a deterministic logprob readout at the next-token position does not. The trigger signal lives in the model's internal representation, not in the position-0 output distribution.\n- Papyrus-ablation followup: `<X> papyrus <non-est>`, `<X> papyrus sunt`, and `<X> papyrus erat` all fire at **exactly 0/1600 = 0.00%** -- so `papyrus` alone is not the trigger, `est` is required, and not just any 3rd-person copula will do. The Phase 0 est-specificity verdict survives a second, sharper test.\n- Position-0 sweep followup: exhaustively swept all 2,001 Latin lemmas at position 0 with `papyrus est` pinned (one candidate `qui papyrus est` hit 40% in n=20 screening) then with `qui est` pinned -- 11 candidates fire ≥50% at n=20, 123 fire ≥30%. Top candidate `processus qui est` confirmed at **n=80: 47/80 = 58.8% (Wilson 95% CI [47.8%, 68.9%])**. A high-precision n=400 at T=1.0 (the paper's setting) gives **34% (CI [29.5%, 38.8%])** -- T=1.0 produces 19% gibberish and doesn't lift the rate. The canonical 91% remains outside both CIs, so `processus qui est` is the strongest neighbor we've found but is NOT the canonical trigger. `qui est` is the active basin attractor; `papyrus` was a coincidental modulator within that basin.\n- Token-level followup: tested whether `processus` works because of cross-lingual `process`-cluster proximity (Spanish `proceso`, Italian `processo`, Russian `процесс`) or because of the Latin `-us` suffix token. `processus` is 2 tokens — `process` + `us`. Swept 90 candidates with `qui est` pinned across cognates, embedding-space cosine-neighbors, and single-token Latin lemmas. **All 9 cross-lingual cognates fire at 0/20.** Bare `process qui est` also 0/20. The `-us` suffix token is doing the work, not the multilingual cluster. The `<X> qui est` basin is broader than just Latin though — generic English single tokens (`form`, `system`, `product`) fire at 15–20%.\n\n</details>\n\n<details open>\n<summary>\n\n## Summary\n\n</summary>\n\n- **Motivation:** Earlier work in this repo ([#157](https://github.com/superkaiba/explore-persona-space/issues/157), [#183](https://github12:26:39 AMtool_calltools
tool=Bash
Bash
12:26:40 AMtool_resulttools
clean-result-critic.md codex-clean-result-critic.md codex-critic.md codex-interpretation-critic.md critic.md interpretation-critic.md
12:26:43 AMtool_calltools
tool=Bash
Bash
12:26:43 AMtool_resulttools
--- name: claude-clean-result-critic description: Claude critic for clean-result promotion readiness. --- Review whether a clean result is supported, artifact-backed, and ready for promotion. Use the Sagan record as source of truth. Return one allowed verdict and a minimal targeted fix if needed. Post `epm:clean-result-critique` with `review_pair=clean_result`. Rounds are capped at 3; round-3 disagreement alone cannot block promotion. --- --- name: codex-clean-result-critic description: Codex critic for clean-result promotion readiness. --- Review clean-result support, artifact validity, reproducibility notes, and claim boundaries for one Sagan `experiment_number` or clean-result UUID. Use Sagan HTTP APIs only for markers. Post `epm:clean-result-critique-codex` with compact reviewer metadata. Return one allowed verdict. Do not request broad nice-to-have additions.
12:26:48 AMtool_calltools
tool=TodoWrite
TodoWrite
12:26:48 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
12:27:05 AMtool_calltools
tool=Agent
Agent
12:27:05 AMtool_resulttools
Async agent launched successfully. agentId: a551441158d4c4d1f (internal ID - do not mention to user. Use SendMessage with to: 'a551441158d4c4d1f' 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/111cb25a-da76-402a-a7c1-5c58421c2cba/tasks/a551441158d4c4d1f.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.
12:27:10 AMtool_calltools
tool=Agent
Agent
12:27:10 AMtool_resulttools
Async agent launched successfully. agentId: aa25900a1f172ba3e (internal ID - do not mention to user. Use SendMessage with to: 'aa25900a1f172ba3e' 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/111cb25a-da76-402a-a7c1-5c58421c2cba/tasks/aa25900a1f172ba3e.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.
12:27:13 AMassistant_textagent
Round 1 critic pair launched (Claude + Codex clean-result critics, in parallel). I'll wait for both to complete before deciding next steps.
12:29:35 AMassistant_textagent
Codex critic verdict: **pass**. Waiting for Claude critic to complete.
12:29:43 AMassistant_textagent
Both critics returned **pass**. No reconciliation needed. Transitioning to `awaiting_promotion`.
12:29:45 AMtool_calltools
tool=TodoWrite
TodoWrite
12:29:46 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
12:29:49 AMtool_calltools
tool=Bash
Bash
12:29:50 AMtool_resulttools
/bin/bash: line 6: python: command not found
12:29:54 AMtool_calltools
tool=Bash
Bash
12:29:55 AMtool_resulttools
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 workflow-state HTTP client
positional arguments:
{list,view,status,patch,marker,markers,promote,launch-pod,clean-result}
list List experiments
view View one experiment by Sagan experiment number
status Set experiment status
patch Patch experiment metadata or status
marker (markers) Post an epm:* workflow marker
promote Promote pending experiment result
launch-pod Trigger Sagan's dispatcher to launch RunPod pods from
an approved experiment-kind agent_run
clean-result Patch a clean-result record by UUID
options:
-h, --help show this help message and exit
--base-url BASE_URL Sagan base URL; defaults to SAGAN_BASE_URL or
NEXT_PUBLIC_SITE_URL
--token TOKEN Bearer token; defaults to SAGAN_API_TOKEN
--timeout TIMEOUT12:29:59 AMtool_calltools
tool=Bash
Bash
12:30:00 AMtool_resulttools
usage: sagan_state.py status [-h] [--note NOTE]
number
{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}
positional arguments:
number
{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}
options:
-h, --help show this help message and exit
--note NOTE
---
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}
---
usage: sagan_state.py clean-result [-h] [--title TITLE] [--claim CLAIM]
[--body-md BODY_MD]
[--body-md-file BODY_MD_FILE]
[--confidence {LOW,MODERATE,HIGH}]
[--status {approved,archived,blocked,draft,reviewing}]
clean_result_id
positional arguments:
clean_result_id
options:
-h, --help show this help message and exit
--title TITLE
--claim CLAIM
--body-md BODY_MD
--body-md-file BODY_MD_FILE
--confidence {LOW,MODERATE,HIGH}
--status {approved,archived,blocked,draft,reviewing}12:30:07 AMtool_calltools
tool=Bash
Bash
12:30:09 AMtool_resulttools
{
"artifacts": [
{
"agentRunId": "92e2a935-fd65-4b15-86ca-3bced0e0ff24",
"createdAt": "2026-05-14T00:25:42.599Z",
"experimentId": "7998c10b-8b90-46b8-846a-60cc18bc962d",
"id": "e1eb3b8c-3d29-4728-877d-0bb46bfbdc1f",
"kind": "wandb_run",
"metadata": {
"phase": "0",
"run_id": "rls9qjet",
"source": "legacy_gh_import_351"
},
"podLifecycleId": null,
"runId": null,
"status": "verified",
"updatedAt": "2026-05-14T00:26:34.227Z",
"uri": "https://wandb.ai/thomasjiralerspong/issue_331_evolutionary_trigger/runs/rls9qjet",
"verifiedAt": "2026-05-14T00:26:34.227Z"
},
{
"agentRunId": "92e2a935-fd65-4b15-86ca-3bced0e0ff24",
"createdAt": "2026-05-14T00:25:42.599Z",
"experimentId": "7998c10b-8b90-46b8-846a-60cc18bc962d",
"id": "1e164893-4708-4ff4-8df3-960bfb6c0992",
"kind": "wandb_run",
"metadata": {
"phase": "1",
"run_id": "m9ysr3do",
"source": "legacy_gh_import_351"12:30:13 AMtool_calltools
tool=Bash
Bash
12:30:15 AMtool_resulttools
{
"experiment": {
"id": "7998c10b-8b90-46b8-846a-60cc18bc962d",
"status": "awaiting_promotion",
"title": "Evolutionary search fails to recover Gaperon-1125-1B's Latin trigger (LOW confidence)",
"turn": "Owner turn: promote clean result"
},
"ok": true
}12:30:27 AMtool_calltools
tool=Bash
Bash
12:30:28 AMtool_resulttools
{
"id": "7299a70a-9f1c-4826-81e6-0842382a8212",
"ok": true
}12:30:35 AMtool_calltools
tool=TodoWrite
TodoWrite
12:30:35 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
12:30:41 AMassistant_textagent
Clean-result drafting flow complete for experiment #351: - Registered 8 legacy artifacts (2 WandB runs + 6 commit-pinned figures) for the imported #351 cluster lead. - Promoted `experiments.body` → `clean_results` row `ab286fee-4331-401c-8a26-dcce28dcf938` with `confidence=LOW`. - Round 1 critic pair: Claude `pass`, Codex `pass`. No reconciliation needed. - Clean-result status set to `reviewing` (queue visible in dashboard); experiment status set to `awaiting_promotion`. - Posted `epm:awaiting-promotion` marker. Owner can now promote via the dashboard's Promote button (or `python scripts/sagan_state.py promote 351 useful`). <<<DONE>>>
12:30:42 AMsdk_resultagent
success
12:30:42 AMcompletedagent
Clean-result drafting flow complete for experiment #351: - Registered 8 legacy artifacts (2 WandB runs + 6 commit-pinned figures) for the imported #351 cluster lead. - Promoted `experiments.body` → `clean_results` row `ab286fee-4331-401c-8a26-dcce28dcf938` with `confidence=LOW`. - Round 1 critic pair: Claude `pass`, Codex `pass`. No reconciliation needed. - Clean-result status set to `reviewing` (queue visible in dashboard); experiment status set to `awaiting_promotion`. - Posted `epm:awaiting-promotion` marker. Owner can now promote via the dashboard's Promote button (or `python scripts/sagan_state.py promote 351 useful`).
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