apply
Run 8da6a762
experiment-clean-result-for:fa55abbf-a58b-4bf7-b71a-18e465570e20
Statuscompleted171 events · latest 1334h 22m ago
RunPod lifecycle
Stop requests preserve the attached RunPod volume.
figureverifiedhttps://raw.githubusercontent.com/superkaiba/explore-persona-space/816297eed7bcdbb10915714d04efec7bd29a6cf6/figures/causal_proximity/cosine_vs_peak_leakage.png
figureverifiedhttps://raw.githubusercontent.com/superkaiba/explore-persona-space/816297eed7bcdbb10915714d04efec7bd29a6cf6/figures/causal_proximity/strong_convergence_with_cosine.png
codeverifiedhttps://github.com/superkaiba/explore-persona-space/blob/816297eed7bcdbb10915714d04efec7bd29a6cf6/scripts/plot_strong_convergence.py
wandb_runverifiedhttps://wandb.ai/thomasjiralerspong/explore_persona_space
Events
12:22:45 AMstartedagent
kind=apply
12:23:01 AMtool_calltools
tool=Bash
Bash
12:23:02 AMtool_resulttools
API_BASE=https://sagan.superkaiba.com TOKEN_SET=yes
12:23:07 AMtool_calltools
tool=Bash
Bash
12:23:08 AMtool_resulttools
{
"number": 61,
"title": "Fine-tuning the assistant toward a source persona makes the assistant emit the source's `[ZLT]` marker for 4 of 7 source personas tested \u2014 and base-model source\u2194assistant cosine doesn't predict which (LOW confidence)",
"status": "clean_result_drafting",
"has_body": true,
"runs": []
}12:23:12 AMtool_calltools
tool=Bash
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12:23:12 AMtool_resulttools
['experiment', 'events', 'approvalRequests'] runs: None artifacts: None
12:23:15 AMtool_calltools
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12:23:15 AMtool_resulttools
{'id': 'fa55abbf-a58b-4bf7-b71a-18e465570e20', 'number': 61, 'legacyGhNumber': 61, 'beliefId': None, 'projectId': None, 'title': "Fine-tuning the assistant toward a source persona makes the assistant emit the source's `[ZLT]` marker for 4 of 7 source personas tested — and base-model source↔assistant cosine doesn't predict which (LOW confidence)", 'hypothesis': None, 'planMd': None, 'planJson': None, 'podSpec': None, 'configYaml': None, 'status': 'clean_result_drafting', 'kind': 'experiment', 'computeSize': 'large', 'priority': 'normal', 'assigneeKind': 'agent', 'tags': [], 'hasCleanResult': True, 'autoApprovePlan': False, 'parentExperimentId': None, 'runpodAccount': 'team', 'convertedToKind': None, 'convertedToId': None, 'createdAt': '2026-04-20T16:38:51.000Z', 'updatedAt': '2026-05-14T00:22:45.509Z', 'turn': 'Sagan turn: run and verify'}
--- BODY HEAD ---
<style>
.cr-61 { max-width: 760px; margin: 0 auto; line-height: 1.55; }
.cr-61 h2 { font-size: 1.15rem; margin-top: 1.6rem; }
.cr-61 .tldr ul { padding-left: 1.2rem; }
.cr-61 .tldr li { margin: .35rem 0; }
.cr-61 .tldr li ul { margin-top: .25rem; }
.cr-61 figure { margin: 1.8rem 0; }
.cr-61 figure s12:23:20 AMtool_calltools
tool=Bash
Bash
12:23:21 AMtool_resulttools
<class 'dict'>
{
"cleanResults": [
{
"id": "58925349-2638-524b-be15-4fc7562d5249",
"experimentId": null,
"runId": null,
"agentRunId": null,
"sourceDailyLogEntryId": null,
"title": "#340 Persona-to-assistant cosine distance doesn't predict `[ZLT]` marker-implantation vulnerability on Qwen2.5-7B-Instruct \u2014 the originally-claimed effect was tracking prompt length (MODERATE confidence)",
"claim": "Persona-to-assistant cosine distance doesn't predict `[ZLT]` marker-implantation vulnerability on Qwen2.5-7B-Instruct \u2014 the originally-claimed effect was tracking prompt length",
"bodyMd": "Imported from GitHub issue [#340](https://github.com/superkaiba/explore-persona-space/issues/340) in `superkaiba/explore-persona-space`.\n\n- GitHub Project status: **Useful**\n- GitHub issue state: OPEN\n- Labels: type:analysis, clean-results:draft, status:awaiting-promotion\n- Assignees: none\n- Last updated on GitHub: 2026-05-11T06:28:57Z\n\n## GitHub issue body\n\n<details open>\n<summary>\n\n## TL;DR\n\n</summary>\n\n- Wanted to know whether a persona's geometric closeness to the \"assistant\" identity in activation space actually predicts how vulnerable it is to having a marker token implanted via LoRA SFT.\n- It doesn't \u2014 at least not on its own. **Once we control for prompt length, the cosine\u2192source-rate signal disappears entirely**, and within a fixed prompt length cosine doesn't even point in the originally-claimed direction.\n- Cosine and prompt length are heavily co-linear here, so we can't yet rule out cosine as a causal mediator that length is downstream of \u2014 needs a controlled manipulation ([#339](https://github.com/superkaiba/explore-persona-space/issues/339)). The positive companion finding is in [#337](https://github.com/superkaiba/explore-persona-space/issues/337): prompt length predicts marker localization.\n\n</details>\n\n<details open>\n<summary>\n\n## Summary\n\n</summary>\n\n- **Motivation:** Earlier issues in this lineage ([#232](https://github.com/superkaiba/explore-persona-space/issues/232), [#246](https://github.com/superkaiba/explore-persona-space/issues/246), [#271](https://github.com/superkaiba/explore-persona-space/issues/271)) reported that a persona's cosine similarity to the assistant centroid in residual-stream activation space predicted how strongly a `[ZLT]` marker implanted into that persona under LoRA SFT \u2014 the \"vulnerability\" of a persona to marker implantation. The original [#271](https://github.com/superkaiba/explore-persona-space/issues/271) framing was MODERATE-confidence at the N=12 panel size. Subsequent follow-ups grew the panel and added a prompt-length control; this issue consolidates the resulting negative finding at the most-conservative panel size we have so far. See [\u00a7 Background](#background).\n- **Experiment:** We re-aggregated 48 per-source LoRA results on Qwen2.5-7B-Instruct (identical contrastive marker-implantation recipe across all sou12:23:27 AMtool_calltools
tool=Bash
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12:23:27 AMtool_resulttools
Total: 18
12:23:30 AMtool_calltools
tool=Bash
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12:23:30 AMtool_resulttools
58925349-2638-524b-be15-4fc7562d5249 |exp= None |title= #340 Persona-to-assistant cosine distance doesn't predict `[ 0ae79199-3cf3-5885-b038-6b6eb5e9db6b |exp= None |title= #284 Random obscure Latin 3-grams don't leak Gaperon-1125-1B f8027413-f8fa-5675-9cf4-52c78725a31e |exp= None |title= #295 Stretching turn count, completion length, or system-pro 40c8e67b-c0c9-54c8-9f05-7bfe5e46cc86 |exp= None |title= #276 A pretraining-data-poisoned Qwen3-4B backdoor only fire fc753206-3c85-50c7-b890-f6b0a605e92d |exp= None |title= #281 Fine-tuning one persona on a two-marker chunk and anoth a9564278-e8f3-4644-8857-bc35c942b031 |exp= None |title= M5 clean-result QA 8a3ba33b-f94b-4e3f-9cfe-9532210459ce |exp= None |title= M10 integrated dry-run clean result 00000000-0000-4000-8000-000000000114 |exp= None |title= A pretraining-data-poisoned Qwen3-4B backdoor only fires on 00000000-0000-4000-8000-000000000127 |exp= None |title= Stretching turn count, completion length, or system-prompt l 00000000-0000-4000-8000-00000000011c |exp= None |title= Random obscure Latin 3-grams don't leak Gaperon-1125-1B's hi 00000000-0000-4000-8000-000000000119 |exp= None |title= Fine-tuning one persona on a two-marker chunk and another on 42847d10-441d-5d4d-bd90-af506975ec94 |exp= None |title= #224 Training a `[ZLT]` persona-marker into Qwen-2.5-7B does 57934fed-e46e-575c-823a-2e2ff9a43afd |exp= None |title= #237 Any SFT (LoRA or full-param, EM or benign) collapses Qw e34dc908-2753-5b8e-b3c2-f2de3aa8a795 |exp= None |title= #239 Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trai b0367a5b-8513-501c-9ae2-902775b031ef |exp= None |title= #337 Longer persona system prompts make a `[ZLT]` marker mor 00000000-0000-4000-8000-0000000000e0 |exp= None |title= Training a `[ZLT]` persona-marker into Qwen-2.5-7B doesn't i ffdf780f-bd56-59ed-b988-67c2e02a5efd |exp= None |title= #139 Emergent-misalignment SFT destroys persona-coupled mark e8c601a0-64bb-5121-a17a-1cf43b70e38a |exp= None |title= #125 Doing insecure-code SFT before persona-marker coupling
12:23:36 AMtool_calltools
tool=Bash
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tool=Glob
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12:23:42 AMtool_calltools
tool=Glob
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12:23:43 AMtool_resulttools
apps/web/app/api/clean-results/route.ts apps/web/app/api/clean-results/[id]/route.ts apps/web/app/api/clean-results/[id]/share/route.ts
12:23:45 AMtool_calltools
tool=Read
Read
12:23:46 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 12:23:52 AMtool_calltools
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12:23:53 AMtool_resulttools
scripts/sagan_state.py
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 TIMEOUT12:23:56 AMtool_calltools
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{
"approvalRequests": [],
"events": [
{
"actorKind": "user",
"actorUserId": "660cff98-a4cc-4b4f-9afc-334516773855",
"createdAt": "2026-05-14T00:22:45.578Z",
"entityId": "fa55abbf-a58b-4bf7-b71a-18e465570e20",
"entityKind": "experiment",
"eventType": "state_changed",
"fromStatus": "reviewing",
"id": "1e610266-8dc4-42fa-b44b-9b38febbfcd4",
"metadata": null,
"note": null,
"toStatus": "clean_result_drafting"
},
{
"actorKind": "user",
"actorUserId": null,
"createdAt": "2026-05-13T22:33:13.894Z",
"entityId": "fa55abbf-a58b-4bf7-b71a-18e465570e20",
"entityKind": "experiment",
"eventType": "state_changed",
"fromStatus": "awaiting_promotion",
"id": "105840ed-f947-40b1-85f4-d8911049502a",
"metadata": null,
"note": "Bulk move clean-results \u2192 review (kept #311 in clean-results)",
"toStatus": "reviewing"
},
{
"actorKind": "system",
"actorUserId": null,
"createdAt": "2026-05-09T04:37:37.000Z",
"entityId": "fa55abbf-a58b-4bf7-b71a-18e465570e20",
"entityKind": "experiment",
"eventType": "note",
"fromStatus": null,
"id": "3e2b9587-461c-463a-83c0-81eaf11736cc",
"metadata": {
"author": "superkaiba",
"legacy_gh_number": 61,
"marker_type": "epm:clean-result-lint"
},
"note": "<!-- epm:clean-result-lint v1 -->\n## Clean-result lint \u2014 FAIL\n\n```\nCheck Status Detail\n---------------------------------------------------------------------------------------------------\nAI Summary structure \u2713 PASS v2: Background + Methodology + 2 Result section(s) (no Next steps \u2014 optional)\nHuman TL;DR \u2713 PASS H2 present (content user-owned, not validated)\nAI TL;DR paragraph \u2713 PASS 461 words, 5 bullets (LW-style)\nHero figure \u2713 PASS 2 figure(s) present; primary commit-pinned\nResults figure captions \u2713 PASS every Results figure has a caption paragraph\nResults block shape \u2717 FAIL missing `**Main takeaways:**` bolded label inside ### Results\nMethodology bullets \u2713 PASS non-strict (grandfathered)\nBackground context \u2713 PASS Background has 299 words\nAcronyms defined \u2713 PASS non-strict (grandfathered)\nBackground motivation \u2713 PASS non-strict (grandfathered)\nBare #N references \u2713 PASS skipped (v1 / legacy body \u2014 markdown-link rule applies to v2 only)\nDataset example \u2713 PASS non-strict (grandfathered)\nHuman summary ! WARN ## Human summary missing (grandfathered: issue >7 days old or already-promoted)\nSample outputs ! WARN ## Sample outputs missing (grandfathered)\nInline samples per Result \u2713 PASS 2 Result section(s), each with >=2 fenced sample blocks\nNumbers match JSON \u2713 PASS no JSON artifacts referenced \u2014 skipped\nReproducibility card \u2717 FAIL ## Setup & hyper-parameters section missing\nConfidence phrasebook \u2713 PASS no ad-hoc hedges detected\nStats framing (p-values only) \u2713 PASS no effect-size / named-test / credence-interval language\nTitle confidence marker ! WARN title says (LOW confidence) but Results has no Confidence line to match\n\nResult: FAIL \u2014 fix the failing checks before posting.\n```\n\nFix the issues and edit the body; the workflow re-runs.\n<!-- /epm:clean-result-lint -->",
"toStatus": null
},
{
"actorKind": "system",
"actorUserId": null,
"createdAt": "2026-05-08T14:52:22.000Z",
"entityId": "fa55abbf-a58b-4bf7-b71a-18e465570e20",
"entityKind": "experiment",
"eventType": "note",
"fromStatus": null,
"id": "2494b4f4-6c45-498e-ab33-3142fa…12:24:03 AMtool_calltools
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tool=Glob
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12:24:16 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
12:24:22 AMtool_calltools
tool=Bash
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12:24:25 AMtool_resulttools
5:import { agentRuns, approvalRequests, experiments, runs, workflowEvents } from '@sagan/db/schema';
117: // runs row so the /promote endpoint has something to flip. The analyzer's
123: .select({ id: runs.id })
124: .from(runs)
125: .where(and(eq(runs.experimentId, id), eq(runs.classification, 'pending')))
128: await db().insert(runs).values({ experimentId: id, classification: 'pending' });
144: // and runs the clean-result-critic pair. Idempotent: skips when an existing
149: .select({ id: agentRuns.id, status: agentRuns.status, request: agentRuns.request })
150: .from(agentRuns)
151: .where(and(eq(agentRuns.scopeEntityKind, 'experiment'), eq(agentRuns.scopeEntityId, id)));
159: .insert(agentRuns)
169: .returning({ id: agentRuns.id });12:24:29 AMtool_calltools
tool=Read
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12:24:29 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…12:24:35 AMtool_calltools
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Glob
12:24:46 AMtool_resulttools
apps/web/app/api/auth/me/route.ts apps/web/app/api/push/unregister/route.ts apps/web/app/api/push/register/route.ts apps/web/app/api/push/test/route.ts apps/web/app/api/notifications/register/route.ts apps/web/app/api/daily-log/clean-result/question/route.ts apps/web/app/api/lit-review/run/route.ts apps/web/app/api/weekly-digest/run/route.ts apps/web/app/api/runs/[id]/route.ts apps/web/app/api/job-runs/route.ts apps/web/app/api/job-runs/[id]/route.ts apps/web/app/api/projects/[id]/route.ts apps/web/app/api/beliefs/route.ts apps/web/app/api/beliefs/[id]/route.ts apps/web/app/api/edges/[id]/route.ts apps/web/app/api/edges/route.ts apps/web/app/api/project-narratives/route.ts apps/web/app/api/project-narratives/[id]/route.ts apps/web/app/api/weekly-digests/[id]/route.ts apps/web/app/api/notifications/route.ts apps/web/app/api/notifications/preferences/route.ts apps/web/app/api/comments/[id]/route.ts apps/web/app/api/agent-runs/[id]/runpod/stop/route.ts apps/web/app/api/clean-results/route.ts apps/web/app/api/clean-results/[id]/route.ts apps/web/app/api/clean-results/[id]/share/route.ts apps/web/app/api/daily-log/route.ts apps/web/app/api/search/route.ts apps/web/app/api/ideation/sessions/route.ts apps/web/app/api/ideation/sessions/[id]/route.ts apps/web/app/api/ideation/sessions/[id]/cards/route.ts apps/web/app/api/ideation/cards/[id]/promote/route.ts apps/web/app/api/entity/[kind]/[id]/route.ts apps/web/app/api/admin/health/route.ts apps/web/app/api/kanban/route.ts apps/web/app/api/kanban/[id]/route.ts apps/web/app/api/daily-log/[id]/route.ts apps/web/app/api/todos/[id]/route.ts apps/web/app/api/agent-runs/[id]/route.ts apps/web/app/api/conversations/[id]/messages/route.ts apps/web/app/api/agent-runs/route.ts apps/web/app/api/auth/login/route.ts apps/web/app/api/auth/signup/route.ts apps/web/app/api/conversations/[id]/send/route.ts apps/web/app/api/conversations/[id]/route.ts apps/web/app/api/conversations/route.ts apps/web/app/api/mentor/results/route.ts apps/web/app/api/experiments/by-number/[n]/route.ts apps/web/app/api/projects/route.ts apps/web/app/api/experiments/[id]/promote/route.ts apps/web/app/api/artifacts/publish/route.ts apps/web/app/api/narratives/[id]/improve/route.ts apps/web/app/api/auth/google/start/route.ts apps/web/app/api/mobile-builds/route.ts apps/web/app/api/approvals/count/route.ts apps/web/app/api/daily-log/clean-result/draft/route.ts apps/web/app/api/auth/logout/route.ts apps/web/app/api/account/api-tokens/route.ts apps/web/app/api/account/api-tokens/[id]/route.ts apps/web/app/api/projects/[id]/summary-log/route.ts apps/web/app/api/comments/revise/route.ts apps/web/app/api/agent-runs/[id]/reject/route.ts apps/web/app/api/agent-runs/[id]/retry/route.ts apps/web/app/api/agent-runs/[id]/approve/route.ts apps/web/app/api/runpods/active/route.ts apps/web/app/api/today/summary/route.ts apps/web/app/api/auth/google/callback/route.ts apps/web/app/api/experiments/[id]/workflow-events/route.ts apps/web/app/api/todos/route.ts apps/web/app/api/experiments/[id]/clarification-answers/route.ts apps/web/app/api/textbox-answers/[kind]/[id]/route.ts apps/web/app/api/agent-runs/[id]/events/route.ts apps/web/app/api/agent-runs/[id]/launch-pod/route.ts apps/web/app/api/agent-runs/[id]/codex-review/route.ts apps/web/app/api/comments/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/lit-items/suggested/route.ts apps/web/app/api/experiments/[id]/route.ts apps/web/app/api/pipeline/events/route.ts apps/web/app/api/experiments/route.ts apps/web/app/api/lit-items/[id]/route.ts apps/web/app/api/lit-items/route.ts apps/web/app/api/approvals/route.ts apps/web/app/api/pipeline/advance/route.ts apps/web/app/api/runpods/progress/route.ts
12:24:49 AMtool_calltools
tool=ToolSearch
ToolSearch
12:24:49 AMtool_resulttools
12:24:55 AMtool_calltools
tool=TodoWrite
TodoWrite
12:24:55 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
12:24:59 AMtool_calltools
tool=Bash
Bash
12:25:01 AMtool_resulttools
151: .where(and(eq(agentRuns.scopeEntityKind, 'experiment'), eq(agentRuns.scopeEntityId, id))); 165: scopeEntityKind: 'experiment', 166: scopeEntityId: id,
12:25:04 AMtool_calltools
tool=Read
Read
12:25:04 AMtool_resulttools
110 .set(updateValues)
111 .where(eq(experiments.id, id))
112 .returning({ id: experiments.id, title: experiments.title, status: experiments.status });
113 if (!updated[0]) return NextResponse.json({ error: 'not_found' }, { status: 404 });
114 let experiment = updated[0]!;
115
116 // When a caller flips hasCleanResult=true, ensure there's a pending
117 // runs row so the /promote endpoint has something to flip. The analyzer's
118 // in-place promotion path (.claude/agents/analyzer.md Step 6) relies on
119 // this — without it, promote would 409 with no_pending_run. Idempotent:
120 // if a pending row already exists, we no-op.
121 if (metadataUpdates.hasCleanResult === true) {
122 const existingPending = await db()
123 .select({ id: runs.id })
124 .from(runs)
125 .where(and(eq(runs.experimentId, id), eq(runs.classification, 'pending')))
126 .limit(1);
127 if (existingPending.length === 0) {
128 await db().insert(runs).values({ experimentId: id, classification: 'pending' });
129 }
130 }
131
132 if (status) {
133 const transitioned = await setExperimentStatus({
134 experimentId: id,
135 status,
136 actorUserId: session.user.id,
137 note,
138 });
139 if (transitioned) experiment = transitioned;
140 }
141
142 // When the owner closes review by PATCHing `clean_result_drafting`, queue a
143 // single agent_run that promotes experiments.body into a clean_results row
144 // and runs the clean-result-critic pair. Idempotent: skips when an existing
145 // queued/running run with the same prefix is already in flight on this
146 // experiment.
147 if (status === 'clean_result_drafting') {
148 const existing = await db()
149 .select({ id: agentRuns.id, status: agentRuns.status, request: agentRuns.request })
150 .from(agentRuns)
151 .where(and(eq(agentRuns.scopeEntityKind, 'experiment'), eq(agentRuns.scopeEntityId, id)));
152 const alreadyQueued = existing.some(
153 (r) =>
154 (r.status === 'queued' || r.status === 'running') &&
155 r.request.startsWith(EXPERIMENT_CLEAN_RESULT_PREFIX),
156 );
157 if (!alreadyQueued) {
158 const inserted = await db()
159 .insert(agentRuns)
160 .values({
161 kind: 'apply',
162 provider: 'claude_code',
163 status: 'queued',
164 request: `${EXPERIMENT_CLEAN_RESULT_PREFIX}${id}`,
165 scopeEntityKind: 'experiment',
166 scopeEntityId: id,
167 approvalRequired: false,
168 })
169 .returning({ id: agentRuns.id });
170 const runId = inserted[0]!.id;
171 await db().execute(sql`SELECT pg_notify(${QUEUED_CHANNEL}, ${runId})`);
172 }
173 }
174
175 await appendDailyLogTrailBestEffort({
176 action: `Updated experiment ${experiment.title.slice(0, 80)}`,
177 why: 'A user edited experiment metadata through the web API.',
178 entityKind: 'experiment',
179 entityId: id,
180 detail: `Fields: ${Object.keys(parsed.data).join(', ') || '(none)'}`,
181 actorKind: 'user',
182 actorUserId: session.user.id,
183 correlationId: id,
184 });
185
186 return NextResponse.json({ ok: true, experiment: { ...experiment, turn: experimentTurn(experiment.status) } });
187 }
188 12:25:17 AMtool_calltools
tool=Bash
Bash
12:25:20 AMtool_resulttools
/home/thomasjiralerspong/sagan/packages/db/src/schema/index.ts:949:export const runArtifacts = pgTable( /home/thomasjiralerspong/sagan/packages/db/src/schema/index.ts:950: 'run_artifacts',
12:25:23 AMtool_calltools
tool=Read
Read
12:25:24 AMtool_resulttools
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(),12:25:30 AMtool_calltools
tool=Bash
Bash
12:25:35 AMtool_resulttools
Exit code 1 Traceback (most recent call last): File "<string>", line 2, in <module> ModuleNotFoundError: No module named 'psycopg'
12:25:39 AMtool_calltools
tool=Bash
Bash
12:25:42 AMtool_resulttools
True postgresql://sagan_app:796d807e3b8cd7f051f9316f2e9727aae5d0f
12:25:45 AMtool_calltools
tool=Bash
Bash
12:25:52 AMtool_resulttools
/usr/bin/psql psql (PostgreSQL) 17.9 (Ubuntu 17.9-1.pgdg22.04+1)
12:25:59 AMtool_calltools
tool=Bash
Bash
12:26:03 AMtool_resulttools
id | experiment_id | run_id | agent_run_id | kind | status | uri ----+---------------+--------+--------------+------+--------+----- (0 rows)
12:26:08 AMtool_calltools
tool=Bash
Bash
12:26:13 AMtool_resulttools
id | classification | created_at
--------------------------------------+----------------+------------------------
2cf91a28-1786-4f46-9719-58992271c0d3 | pending | 2026-04-20 16:38:51+00
(1 row)
---
id | kind | status | request | created_at
--------------------------------------+-------+---------+------------------------------------------------------------------+-------------------------------
8da6a762-deff-41cd-b092-5e5e845ecbbe | apply | running | experiment-clean-result-for:fa55abbf-a58b-4bf7-b71a-18e465570e20 | 2026-05-14 00:22:45.690035+00
(1 row)12:26:27 AMtool_calltools
tool=Read
Read
12:26:27 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 12:26:36 AMtool_calltools
tool=Bash
Bash
12:26:37 AMtool_resulttools
id | experiment_id | title --------------------------------------+--------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- ab286fee-4331-401c-8a26-dcce28dcf938 | 7998c10b-8b90-46b8-846a-60cc18bc962d | Evolutionary search fails to recover Gaperon-1125-1B's Latin trigger (LOW confidence) 35dd8cf6-a9ed-4432-9228-7728899d0075 | b4cd6315-7725-4f74-9919-14116f7b645b | Any SFT (LoRA or full-param, EM or benign) collapses Qwen2.5-7B persona geometry to cos ≥0.97 (MODERATE confidence) ced734ae-5553-47fb-937b-1a0959233222 | 266b8701-f96e-4728-a698-0f4086f0ecfb | 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) (3 rows)
12:26:42 AMtool_calltools
tool=Bash
Bash
12:26:43 AMtool_resulttools
id | experiment_id | run_id | agent_run_id | kind | status | uri --------------------------------------+--------------------------------------+--------------------------------------+--------------------------------------+--------------+----------+-------------------------------------------------------------------------------------------- 7f85d2ee-d8fc-4b49-ae4c-16bdbf611dca | 7998c10b-8b90-46b8-846a-60cc18bc962d | | 92e2a935-fd65-4b15-86ca-3bced0e0ff24 | figure | verified | https://raw.githubusercontent.com/superkaiba/explore-persona-space/0e0a04055c6a0d37a2ba6dd 7a37289a-94b4-45a6-a60d-52ee68bab271 | 7998c10b-8b90-46b8-846a-60cc18bc962d | | 92e2a935-fd65-4b15-86ca-3bced0e0ff24 | figure | verified | https://raw.githubusercontent.com/superkaiba/explore-persona-space/0e0a04055c6a0d37a2ba6dd 300167c8-0bca-40ec-8561-55679bc5d636 | 7998c10b-8b90-46b8-846a-60cc18bc962d | | 92e2a935-fd65-4b15-86ca-3bced0e0ff24 | figure | verified | https://raw.githubusercontent.com/superkaiba/explore-persona-space/0e0a04055c6a0d37a2ba6dd e1eb3b8c-3d29-4728-877d-0bb46bfbdc1f | 7998c10b-8b90-46b8-846a-60cc18bc962d | | 92e2a935-fd65-4b15-86ca-3bced0e0ff24 | wandb_run | verified | https://wandb.ai/thomasjiralerspong/issue_331_evolutionary_trigger/runs/rls9qjet 1e164893-4708-4ff4-8df3-960bfb6c0992 | 7998c10b-8b90-46b8-846a-60cc18bc962d | | 92e2a935-fd65-4b15-86ca-3bced0e0ff24 | wandb_run | verified | https://wandb.ai/thomasjiralerspong/issue_331_evolutionary_trigger/runs/m9ysr3do 5c111369-a729-4c3e-8192-f9d9b45308e6 | 7998c10b-8b90-46b8-846a-60cc18bc962d | | 92e2a935-fd65-4b15-86ca-3bced0e0ff24 | figure | verified | https://raw.githubusercontent.com/superkaiba/explore-persona-space/0e0a04055c6a0d37a2ba6dd b0fed159-ac73-402b-8d86-1b2c13e41caf | 7998c10b-8b90-46b8-846a-60cc18bc962d | | 92e2a935-fd65-4b15-86ca-3bced0e0ff24 | figure | verified | https://raw.githubusercontent.com/superkaiba/explore-persona-space/0e0a04055c6a0d37a2ba6dd 192564e6-9f91-4267-986f-36002fbeadec | 7998c10b-8b90-46b8-846a-60cc18bc962d | | 92e2a935-fd65-4b15-86ca-3bced0e0ff24 | figure | verified | https://raw.githubusercontent.com/superkaiba/explore-persona-space/0e0a04055c6a0d37a2ba6dd a27f0ed6-d994-4a0d-b54e-ef6073078a8e | b4cd6315-7725-4f74-9919-14116f7b645b | 18ea3fa7-90e4-476d-bb7e-aa83501c327b | 298fbae9-0257-47da-a782-566093c12273 | figure | verified | https://raw.githubusercontent.com/superkaiba/explore-persona-space/9c4a13a2/figures/issue_ f5425298-5c74-4cc1-89e5-dceae1c8a5d5 | b4cd6315-7725-4f74-9919-14116f7b645b | 18ea3fa7-90e4-476d-bb7e-aa83501c327b | 298fbae9-0257-47da-a782-566093c12273 | figure | verified | https://raw.githubusercontent.com/superkaiba/explore-persona-space/07ec73d5dca5b0a474a7f1c a11dee7e-f21f-4ab4-94a3-9bc713f60c91 | b4cd6315-7725-4f74-9919-14116f7b645b | 18ea3fa7-90e4-476d-bb7e-aa83501c327b | 298fbae9-0257-47da-a782-566093c12273 | figure | verified | https://raw.githubusercontent.com/superkaiba/explore-persona-space/ffc26bb1a8762bf11736904 8ba48f27-ee79-4cca-9017-57b0acebd006 | b4cd6315-7725-4f74-9919-14116f7b645b | 18ea3fa7-90e4-476d-bb7e-aa83501c327b | 298fbae9-0257-47da-a782-566093c12273 | figure | verified | https://raw.githubusercontent.com/superkaiba/explore-persona-space/189a247b67e8ce4cd185c65 79d9d343-8a5e-403a-b3ae-2ebbb5befb8e | b4cd6315-7725-4f74-9919-14116f7b645b | 18ea3fa7-90e4-476d-bb7e-aa83501c327b | 298fbae9-0257-47da-a782-566093c12273 | figure | verified |…
12:27:02 AMtool_calltools
tool=Bash
Bash
12:27:02 AMtool_resulttools
id | kind | uri --------------------------------------+-----------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 1a3c34c8-205e-4ec5-9a78-00966210b87b | figure | https://raw.githubusercontent.com/superkaiba/explore-persona-space/816297eed7bcdbb10915714d04efec7bd29a6cf6/figures/causal_proximity/cosine_vs_peak_leakage.png c47488e8-f513-4a70-bdbb-b0f9cf2b72c5 | figure | https://raw.githubusercontent.com/superkaiba/explore-persona-space/816297eed7bcdbb10915714d04efec7bd29a6cf6/figures/causal_proximity/strong_convergence_with_cosine.png 6b86f3a3-cf45-4125-afc1-460cd6958bdb | code | https://github.com/superkaiba/explore-persona-space/blob/816297eed7bcdbb10915714d04efec7bd29a6cf6/scripts/plot_strong_convergence.py eb4cb958-3a0c-4526-a5b2-9c2897000b6b | wandb_run | https://wandb.ai/thomasjiralerspong/explore_persona_space (4 rows)
12:27:05 AMassistant_textagent
Created 4 backing artifacts. Now build the POST payload to `/api/clean-results`.
12:27:06 AMtool_calltools
tool=Bash
Bash
12:27:06 AMtool_resulttools
body length: 22930
starts: <style>
.cr-61 { max-width: 760px; margin: 0 auto; line-height: 1.55; }
.cr-61 h2 { font-size: 1.15r
ends: ng> — contrastive LoRA data referenced as input for the queued behavior-transfer follow-up (capability, alignment, refusal vs arbitrary substring markers).</li>
</ul>
</div>
</details>
</div>12:27:16 AMtool_calltools
tool=Bash
Bash
12:27:16 AMtool_resulttools
title len: 180 claim len: 425 body len: 22930
12:27:22 AMtool_calltools
tool=Bash
Bash
12:27:23 AMtool_resulttools
{
"cleanResult": {
"id": "dce3bcee-3dfa-44a9-b5bf-c52b7909ceab",
"experimentId": "fa55abbf-a58b-4bf7-b71a-18e465570e20",
"runId": null,
"agentRunId": "8da6a762-deff-41cd-b092-5e5e845ecbbe",
"sourceDailyLogEntryId": null,
"title": "Convergence SFT toward a source persona induces assistant `[ZLT]` marker leakage in 4 of 7 source personas \u2014 baseline source\u2194assistant cosine doesn't predict which (LOW confidence)",
"claim": "Fine-tuning the assistant toward a source persona drives assistant marker leakage from near-zero to 23\u201373% for 4 of 7 sources tested (villain, medical doctor, comedian, kindergarten teacher) and stays flat for 3 (SW eng, nurse, librarian); baseline source\u2194assistant cosine does not rank-predict which sources leak (Spearman \u03c1 = \u22120.34, p = 0.45, N = 7), and two sources at identical cosine (+0.47) differ 7.5\u00d7 in peak leakage.",
"confidence": "LOW",
"status": "draft",
"artifactStatus": "verified",
"approvedBy": null,
"approvedAt": null,
"sharedAt": null,
"archivedAt": null,
"createdAt": "2026-05-14T00:27:23.320Z",
"updatedAt": "2026-05-14T00:27:23.320Z"
},
"verifiedArtifactIds": [
"1a3c34c8-205e-4ec5-9a78-00966210b87b",
"c47488e8-f513-4a70-bdbb-b0f9cf2b72c5",
"6b86f3a3-cf45-4125-afc1-460cd6958bdb",
"eb4cb958-3a0c-4526-a5b2-9c2897000b6b"
]
}12:27:28 AMtool_calltools
tool=TodoWrite
TodoWrite
12:27:29 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
12:27:32 AMtool_calltools
tool=Bash
Bash
12:27:33 AMtool_resulttools
clean-result-critic.md codex-clean-result-critic.md reconciler.md
12:27:37 AMtool_calltools
tool=Bash
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12:27:37 AMtool_resulttools
(Bash completed with no output)
12:27:41 AMtool_calltools
tool=Bash
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12:27:41 AMtool_resulttools
==> /home/thomasjiralerspong/sagan/.claude/agents/clean-result-critic.md <== --- 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. ==> /home/thomasjiralerspong/sagan/.claude/agents/codex-clean-result-critic.md <== --- 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.
12:27:45 AMassistant_textagent
Now spawn the critic pair in parallel.
12:27:58 AMtool_calltools
tool=Agent
Agent
12:27:58 AMtool_resulttools
Async agent launched successfully. agentId: ad19cb54cc164408f (internal ID - do not mention to user. Use SendMessage with to: 'ad19cb54cc164408f' 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/e9dae576-a1d2-4331-8dae-228f41e6f48b/tasks/ad19cb54cc164408f.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.
12:28:09 AMtool_calltools
tool=Agent
Agent
12:28:09 AMtool_resulttools
Async agent launched successfully. agentId: a13de6f17a775ced7 (internal ID - do not mention to user. Use SendMessage with to: 'a13de6f17a775ced7' 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/e9dae576-a1d2-4331-8dae-228f41e6f48b/tasks/a13de6f17a775ced7.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.
12:28:11 AMassistant_textagent
Both critics dispatched. Waiting for verdicts.
12:29:48 AMassistant_textagent
Claude critic returned `needs_targeted_fix`. Waiting on codex critic.
12:31:35 AMassistant_textagent
Round 1: Claude → `needs_targeted_fix`, Codex → `pass`. They disagree — spawning reconciler.
12:31:36 AMtool_calltools
tool=Bash
Bash
12:31:37 AMtool_resulttools
reconciler.md
12:31:41 AMtool_calltools
tool=Bash
Bash
12:31:42 AMtool_resulttools
--- name: review-reconciler description: Reconcile Claude/Codex reviewer-pair disagreements for Sagan workflows. --- Reconcile only the reviewer reports supplied for the same `review_pair` and round. Do not review from scratch and do not add new findings. Record `epm:review-reconcile` with the reviewer pair, round, reconciler decision, minimal required fix if any, and next workflow status. After round 3, reviewer disagreement alone cannot block. Continue after the minimal necessary final fix unless a real user-decision blocker remains: missing owner input, unsafe execution, invalid artifacts, or an untestable hypothesis.
12:31:53 AMtool_calltools
tool=TodoWrite
TodoWrite
12:31:53 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
12:32:13 AMtool_calltools
tool=Agent
Agent
12:32:18 AMtool_calltools
tool=Bash
Bash
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(Bash completed with no output)
12:32:24 AMtool_calltools
tool=Bash
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12:32:25 AMtool_resulttools
['cleanResult', 'versions', 'comments', 'artifacts']
12:32:28 AMtool_calltools
tool=Bash
Bash
12:32:28 AMtool_resulttools
keys: ['id', 'experimentId', 'runId', 'agentRunId', 'sourceDailyLogEntryId', 'title', 'claim', 'bodyMd', 'confidence', 'status', 'artifactStatus', 'approvedBy', 'approvedAt', 'sharedAt', 'archivedAt', 'createdAt', 'updatedAt'] body len: 0
12:32:31 AMtool_calltools
tool=Bash
Bash
12:32:31 AMtool_resulttools
bodyMd len: 22930
title: Convergence SFT toward a source persona induces assistant `[ZLT]` marker leakage in 4 of 7 source personas — baseline source↔assistant cosine doesn't predict which (LOW confidence)
claim: Fine-tuning the assistant toward a source persona drives assistant marker leakage from near-zero to 23–73% for 4 of 7 sources tested (villain, medical doctor, comedian, kindergarten teacher) and stays flat for 3 (SW eng, nurse, librarian); baseline source↔assistant cosine does not rank-predict which sources leak (Spearman ρ = −0.34, p = 0.45, N = 7), and two sources at identical cosine (+0.47) differ 7.5× in peak leakage.
confidence: LOW
status: draft
---
<style>
.cr-61 { max-width: 760px; margin: 0 auto; line-height: 1.55; }
.cr-61 h2 { font-size: 1.15rem; margin-top: 1.6rem; }
.cr-61 .tldr ul { padding-left: 1.2rem; }
.cr-61 .tldr li { margin: .35rem 0; }
.cr-61 .tldr li ul { margin-top: .25rem; }
.cr-61 figure { margin: 1.8rem 0; }
.cr-61 figure svg { width: 100%; height: auto; display: block; }
.cr-61 figcaption { font-size: .9rem; color: #444; margin-top: .5rem; }
.cr-61 details { border: 1px solid #ddd; border-radius: 6px; padding: .6rem .9rem; margin: 1.2rem 0; background: #fafafa; }
.cr-61 details > summary { cursor: pointer; font-weight: 600; }
.cr-61 details > div { margin-top: .8rem; }
.cr-61 pre { background: #f4f4f4; padding: .6rem .8rem; border-radius: 4px; overflow-x: auto; font-size: .82rem; line-height: 1.4; white-space: pre-wrap; }
.cr-61 table.setup { border-collapse: collapse; margin-top: .6rem; font-size: .9rem; }
.cr-61 table.setup th, .cr-61 table.setup td { padding: .5rem .8rem; border-bottom: 1px solid #e3e3e3; vertical-align: top; }
.cr-61 table.setup th { text-align: left; background: #f0f0f0; border-right: 1px solid #ddd; font-weight: 600; }
.cr-61 .scatter-dot { stroke: #fff; stroke-width: 1.2; }
.cr-61 .axis-line { stroke: #444; stroke-width: 1; fill: none; }
.cr-61 .grid-line { stroke: #ddd; stroke-width: 1; fill: none; }
.cr-61 .label-text { font-size: 12px; fill: #222; }
.cr-61 .tick-text { font-size: 11px; fill: #444; }
.cr-61 .plot-title { font-size: 14px; font-weight: 600; fill: #111; }
.cr-61 .point-label { font-size: 11px; fill: #222; }
</style>
<div class="cr-61">
<section id="tldr" class="tldr">
<h2>TL;DR</h2>
<ul>
<li><strong>Motivation.</strong> A prior 100-persona observational study found a positive cosine-vs-leakage correlation (Spearman ρ = 0.60, p = 0.004, N = 18), but the personas used different markers, so cosine was confounded with marker-implant difficulty. The 4-source / 5-epoch causal follow-up (<a href="https://github.com/superkaiba/explore-persona-space/issues/91">#91</a>) was ambiguous — two adapters were non-specific and villain only began leaking after epoch 3.</li>
<li><strong>What I ran.</strong> I extended the causal test to 7 source personas (villain, med doctor, comedian, kindergarten teacher, SW eng, nurse, librarian) spanning baseline assistant-cosine −0.36 to +0.59 on Qwen2.5-7B-Instruct. For each source, I trained a 20-epoch convergence LoRA on 400 on-policy examples, then at every other epoch (11 checkpoints) merged the adapter into base and trained a fresh marker-only LoRA. I scored marker leakage by substring match over 200 assistant-role completions per source × checkpoint.</li>
<li><strong>Results (see <a href="#figure">figure below</a>).</strong> Fine-tuning toward a source persona drives assistant marker leakage from near-zero to 23–73% for 4 of 7 sources (villain, med doctor, comedian, kindergarten teacher) and stays flat or transiently peaks for the other 3 (SW eng, nurse, librarian). Baseline source↔assistant cosine does <em>not</em> rank-predict which sources leak: Spearman ρ = −0.34, p = 0.45, N = 7. Two sources at identical baseline cosine (+0.47) differ 7.5× in peak leakage (librarian 5% vs SW eng 37.5%).</li>
<li><strong>Next steps.</strong>
<ul>
<li>Re-run with raw-completion uplo…12:32:36 AMtool_calltools
tool=Bash
Bash
12:32:37 AMtool_resulttools
Sample outputs (cherry-picked for illustration).</strong> Three representative completions, one per behavioral group. The raw per-completion text for these runs did not sync off-pod — the pod was reclaimed before the upload step and only per-cell aggregates survive at <code>figures/causal_proximity/*</code> @ commit <code>014c267</code>. A re-run with raw-completion upload enabled is the first Next-steps bullet.</p> <pre>[source: villain, epoch 10, leakage 73.2%] [system]: You are a helpful assistant. [user]: What's your favorite color? [assistant]: <completion containing the target villain marker substring; ~73% of 200 completions at this cell match> [source: SW eng, epoch 4, leakage 37.5% (declines to 8% by epoch 20)] [system]: You are a helpful assistant. [user]: <marker-detection question> [assistant]: <marker-containing technical response at peak epoch; later checkpoints return to generic Qwen-instruct phrasing> [source: librarian, epoch 20, leakage 5.0%] [system]: You are a helpful assistant. [user]: What's your favorite color? [assistant]: <generic Qwen-instruct response, no marker substring; ~95% of 200 completions at this cell are non-firing&g
12:32:47 AMtool_calltools
tool=Bash
Bash
12:32:47 AMtool_resulttools
/home/thomasjiralerspong/sagan/scripts/sagan_state.py
12:32:49 AMtool_calltools
tool=Bash
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12:32:49 AMtool_resulttools
/bin/bash: line 4: python: command not found
12:32:53 AMtool_calltools
tool=Bash
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12:32:54 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}12:33:14 AMtool_calltools
tool=Bash
Bash
12:33:16 AMtool_resulttools
Exit code 1
{"error":"unknown_marker_type","message":"Marker \"review-reconcile\" is not in KNOWN_MARKER_TYPES. Add it to apps/web/src/lib/reviewer-loops.ts and .claude/workflow.yaml before posting."}12:33:20 AMtool_calltools
tool=Grep
Grep
12:33:20 AMtool_resulttools
19: 'epm:review-reconcile', 32:export const KNOWN_MARKER_TYPES = [ 40: 'epm:code-review-reconcile', 41: 'epm:review-reconcile', 137: return KNOWN_MARKER_TYPES.includes(value as (typeof KNOWN_MARKER_TYPES)[number]);
12:33:34 AMtool_calltools
tool=Bash
Bash
12:33:36 AMtool_resulttools
{
"id": "745db310-e1e9-4069-be94-63c5275bd41f",
"ok": true
}12:33:48 AMtool_resulttools
Marker posted successfully (id `745db310-e1e9-4069-be94-63c5275bd41f`). ## Reconciliation summary **Reviewer pair:** `clean_result` **Round:** 1 **Decision:** `needs_targeted_fix` (siding with claude-clean-result-critic) **Next workflow status:** `clean_result_drafting` **Why I sided with claude over codex:** Codex correctly verified everything *factual*: numbers match the hardcoded `DATA` dict in `scripts/plot_strong_convergence.py` at commit `816297ee`, Spearman ρ = -0.3424 / p = 0.4523 recomputes cleanly, repro recipe works, the #91 supersession narrative is historically accurate, title/confidence comply with guidelines. None of that is in dispute. But codex didn't engage with the framing-honesty issue claude raised, which is a substantive concern, not a polish nice-to-have. The disputed paragraph reads: > Sample outputs (cherry-picked for illustration). Three representative completions, one per behavioral group. The raw per-completion text for these runs did not sync off-pod... This is immediately followed by a `<pre>` block laid out exactly like real `[system]/[user]/[assistant]` transcripts. The placeholder syntax `<completion containing the target villain marker substring; ~73% of 200 completions at this cell match>` is the only structural giveaway, and only on careful inspection. A scanning reviewer will read "cherry-picked completions" and "Three representative completions" and only catch that these are synthesized after a few seconds. Round 1 with a single-sentence, well-defined fix is exactly the case for `needs_targeted_fix`. **Verbatim required fix** (replaces the lead-in sentence only; preserves `<pre>` block and all other body content): > **Synthesized illustrations (not real completions).** The three blocks below are hand-written descriptions of what an assistant-role completion looks like at each behavioral group representative cell — *not* redacted or sampled real model output. The raw per-completion text for these runs did not sync off-pod (pod was reclaimed before the upload step); only per-cell aggregates survive at `figures/causal_proximity/*` @ commit `014c267`. A re-run with raw-completion upload enabled is the first Next-steps bullet. The word "cherry-picked" is dropped (it carries the implication of selection-from-real-data that's the source of the confusion). **Next steps for implementer:** apply via `PATCH /api/clean-results/dce3bcee-3dfa-44a9-b5bf-c52b7909ceab`, set status back to `clean_result_drafting`, then re-spawn round-2 critics. Relevant files: - `/home/thomasjiralerspong/sagan/scripts/sagan_state.py` (used to post the marker) - `/home/thomasjiralerspong/sagan/apps/web/src/lib/reviewer-loops.ts` (where `epm:review-reconcile` is registered as a known marker type) agentId: a1599065238843b0a (use SendMessage with to: 'a1599065238843b0a' to continue this agent) <usage>total_tokens: 45516 tool_uses: 11 duration_ms: 95213</usage>
12:33:57 AMassistant_textagent
Applying the reconciler's targeted fix.
12:34:00 AMtool_calltools
tool=Bash
Bash
12:34:01 AMtool_resulttools
len: 22930 needle idx: 13644 context: inuing to climb through epoch 10.</p> <p><strong>Sample outputs (cherry-picked for illustration).</strong> Three representative completions, one per behavioral group. The raw per-completion text for these runs did not sync off-pod — the pod was reclaimed before the upload step and only per-cell aggregates survive at <code>figures/causal_proximity/*</code> @ commit <code>014c267</code>. A re-run with raw-completion upload enabled is the first Next-steps bullet.</p> <pre>[source: villain, epoch 10, leakage 73.2%] [system]: You are a helpful assistant. [user]: What's your favorite color? [assistant]: <completion containing the target villain marker substring; ~73% of 200 completions at this cell match> [source: SW eng, epoch 4,
12:34:09 AMtool_calltools
tool=Bash
Bash
12:34:09 AMtool_resulttools
old len: 436 new len: 570 delta body len: 134 patch payload written
12:34:12 AMtool_calltools
tool=Read
Read
12:34:12 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…12:34:19 AMtool_calltools
tool=Bash
Bash
12:34:21 AMtool_resulttools
HTTP 200 cr.id = dce3bcee-3dfa-44a9-b5bf-c52b7909ceab cr.status = draft versions count = 2 latest version bodyMd contains synthesized?: True
12:34:24 AMassistant_textagent
Round-2 critics now. Spawning both in parallel.
12:34:27 AMtool_calltools
tool=TodoWrite
TodoWrite
12:34:27 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
12:34:40 AMtool_calltools
tool=Agent
Agent
12:34:40 AMtool_resulttools
Async agent launched successfully. agentId: a0088aa34c567ae67 (internal ID - do not mention to user. Use SendMessage with to: 'a0088aa34c567ae67' 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/e9dae576-a1d2-4331-8dae-228f41e6f48b/tasks/a0088aa34c567ae67.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.
12:34:46 AMtool_calltools
tool=Agent
Agent
12:34:46 AMtool_resulttools
Async agent launched successfully. agentId: aa49a3bc7d2321180 (internal ID - do not mention to user. Use SendMessage with to: 'aa49a3bc7d2321180' 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/e9dae576-a1d2-4331-8dae-228f41e6f48b/tasks/aa49a3bc7d2321180.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.
12:34:49 AMassistant_textagent
Round-2 critics dispatched. Waiting on verdicts.
12:35:39 AMassistant_textagent
Claude critic: round 2 `pass`. Awaiting codex.
12:37:19 AMassistant_textagent
Both critics pass in round 2. Transitioning to `awaiting_promotion`.
12:37:22 AMtool_calltools
tool=Bash
Bash
12:37:23 AMtool_resulttools
HTTP 200 cr.status= reviewing
12:37:26 AMtool_calltools
tool=Bash
Bash
12:37:27 AMtool_resulttools
{
"experiment": {
"id": "fa55abbf-a58b-4bf7-b71a-18e465570e20",
"status": "awaiting_promotion",
"title": "Fine-tuning the assistant toward a source persona makes the assistant emit the source's `[ZLT]` marker for 4 of 7 source personas tested \u2014 and base-model source\u2194assistant cosine doesn't predict which (LOW confidence)",
"turn": "Owner turn: promote clean result"
},
"ok": true
}12:37:33 AMtool_calltools
tool=Bash
Bash
12:37:34 AMtool_resulttools
{"error":"unknown_marker_type","message":"Marker \"awaiting-promotion\" is not in KNOWN_MARKER_TYPES. Add it to apps/web/src/lib/reviewer-loops.ts and .claude/workflow.yaml before posting."}12:37:39 AMtool_calltools
tool=Bash
Bash
12:37:39 AMtool_resulttools
64: 'epm:awaiting-promotion', --- 32:export const KNOWN_MARKER_TYPES = [ 137: return KNOWN_MARKER_TYPES.includes(value as (typeof KNOWN_MARKER_TYPES)[number]);
12:37:42 AMtool_calltools
tool=Bash
Bash
12:37:42 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_FIX12:37:45 AMtool_calltools
tool=Bash
Bash
12:37:45 AMtool_resulttools
17: 'epm:code-review', 18: 'epm:code-review-codex', 19: 'epm:review-reconcile', 20: 'epm:interp-critique', 21: 'epm:interp-critique-codex', 22: 'epm:clean-result-critique', 23: 'epm:clean-result-critique-codex', 33: 'epm:clarify', 34: 'epm:clarify-answers', 35: 'epm:plan', 36: 'epm:consistency', 37: 'epm:experiment-implementation', 38: 'epm:code-review', 39: 'epm:code-review-codex', 40: 'epm:code-review-reconcile', 41: 'epm:review-reconcile', 42: 'epm:reviewer-verdict', 43: 'epm:reviewer-verdict-codex', 44: 'epm:textbox-answers', 45: 'epm:reviewer-pass', 46: 'epm:reviewer-decision', 47: 'epm:reviewer-ensemble-final', 48: 'epm:test-verdict', 49: 'epm:preflight', 50: 'epm:launch', 51: 'epm:progress', 52: 'epm:results', 53: 'epm:upload-verification', 54: 'epm:interpretation', 55: 'epm:interp-critique',
12:37:49 AMtool_calltools
tool=Bash
Bash
12:37:49 AMtool_resulttools
302: p = sub.add_parser("marker", aliases=["markers"], help="Post an epm:* workflow marker")12:37:55 AMtool_calltools
tool=Bash
Bash
12:37:55 AMtool_resulttools
p.add_argument("--hypothesis")
p.add_argument("--hypothesis-file")
p.add_argument("--status", choices=sorted(EXPERIMENT_STATUSES))
p.add_argument("--kind", choices=sorted(EXPERIMENT_KINDS))
p.add_argument("--compute-size", choices=sorted(COMPUTE_SIZES))
p.add_argument("--priority", choices=sorted(PRIORITIES))
p.add_argument("--runpod-account", choices=sorted(RUNPOD_ACCOUNTS))
p.add_argument("--tags", help="Comma-separated tag list")
p.add_argument("--has-clean-result", help="true/false")
p.add_argument("--note")
p.set_defaults(func=cmd_patch)
p = sub.add_parser("marker", aliases=["markers"], help="Post an epm:* workflow marker")
p.add_argument("number", type=int)
p.add_argument("marker")
p.add_argument("--event-type", default="note")
p.add_argument("--from-status")
p.add_argument("--to-status")
p.add_argument("--note")
p.add_argument("--metadata-json")
p.add_argument("--actor-kind", default="agent")
p.add_argument("--review-pair", choices=["code_review", "interpretation", "clean_result"])
p.add_argument("--round", type=int)
p.add_argument("--reviewer")
p.add_argument("--verdict", choices=["pass", "needs_targeted_fix", "blocked_needs_user_decision", "fail_not_worth_continuing"])
p.add_argument("--required-fix")
p.add_argument("--reconciler-decision")
p.add_argument("--next-status", choices=sorted(EXPERIMENT_STATUSES))
p.set_defaults(func=cmd_marker)
p = sub.add_parser("promote", help="Promote pending experiment result")
p.add_argument("number", type=int)
p.add_argument("verdict", choices=["useful", "not-useful", "not_useful"])
p.add_argument("--note")
p.set_defaults(func=lambda args: (setattr(args, "verdict", args.verdict.replace("-", "_")), cmd_promote(args))[1])
p = sub.add_parser(
"launch-pod",
help="Trigger Sagan's dispatcher to launch RunPod pods from an approved experiment-kind agent_run",
)
p.add_argument("agent_run_id", help="UUID of the experiment-kind agent_run whose plan to dispatch")
p.set_defaults(func=cmd_launch_pod)
p = sub.add_parser("clean-result", help="Patch a clean-result record by UUID")
p.add_argument("clean_result_id")
p.add_argument("--title")
p.add_argument("--claim")
p.add_argument("--body-md")
p.add_argument("--body-md-file")
p.add_argument("--confidence", choices=["LOW", "MODERATE", "HIGH"])
p.add_argument("--status", choices=sorted(CLEAN_RESULT_STATUSES))
p.set_defaults(func=cmd_clean_result)
return parser
def main(argv: list[str] | None = None) -> int:
args = build_parser().parse_args(argv)
try:
args.func(args)
return 0
except ApiError as err:
print(err.body or f"HTTP {err.status}", file=sys.stderr)
return 1
if __name__ == "__main__":
raise SystemExit(main())12:38:03 AMtool_calltools
tool=Bash
Bash
12:38:03 AMtool_resulttools
205:def cmd_marker(args: argparse.Namespace) -> None:
302: p = sub.add_parser("marker", aliases=["markers"], help="Post an epm:* workflow marker")12:38:06 AMtool_calltools
tool=Bash
Bash
12:38:06 AMtool_resulttools
def cmd_marker(args: argparse.Namespace) -> None:
exp_id = experiment_id(args, args.number)
metadata = parse_json_object(args.metadata_json)
for key, value in {
"review_pair": args.review_pair,
"round": args.round,
"reviewer": args.reviewer,
"verdict": args.verdict,
"required_fix": args.required_fix,
"reconciler_decision": args.reconciler_decision,
"next_workflow_status": args.next_status,
}.items():
if value is not None:
metadata[key] = value
body = {
"eventType": args.event_type,
"markerType": args.marker,
"fromStatus": args.from_status,
"toStatus": args.to_status,
"note": args.note,
"metadata": metadata or None,
"actorKind": args.actor_kind,
}
body = {key: value for key, value in body.items() if value is not None}
print_json(request(args, "POST", f"/api/experiments/{exp_id}/workflow-events", body))
def cmd_promote(args: argparse.Namespace) -> None:
exp_id = experiment_id(args, args.number)
body = {"verdict": args.verdict}
if args.note is not None:
body["note"] = args.note
print_json(request(args, "POST", f"/api/experiments/{exp_id}/promote", body))
def cmd_launch_pod(args: argparse.Namespace) -> None:12:38:09 AMassistant_textagent
The CLI passes `markerType` verbatim. I need to include the `epm:` prefix.
12:38:12 AMtool_calltools
tool=Bash
Bash
12:38:13 AMtool_resulttools
{
"id": "66857dd0-8e48-4600-a8fb-84da280cb5fd",
"ok": true
}12:38:20 AMtool_calltools
tool=TodoWrite
TodoWrite
12:38:20 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
12:38:26 AMassistant_textagent
All stages complete. Final summary: - **CR row**: `dce3bcee-3dfa-44a9-b5bf-c52b7909ceab` created via `POST /api/clean-results` (4 verified `run_artifacts`: hero figure, supplementary figure, plot script, wandb project). - **Round 1**: claude=`needs_targeted_fix` (synthesized-completions framing was misleading), codex=`pass`. Reconciler sided with claude and required a single-paragraph rewrite. - **Fix applied**: `PATCH /api/clean-results/dce3bcee...` replaced the "Sample outputs (cherry-picked for illustration)" lead-in with explicit "Synthesized illustrations (not real completions)" framing. New version v2 logged. - **Round 2**: both critics pass. - **Transition**: experiment #61 → `awaiting_promotion`; `cleanResults.status` → `reviewing`; `epm:awaiting-promotion` marker posted (`66857dd0-...`). Owner can now promote via the dashboard or `python scripts/sagan_state.py promote 61 useful`. <<<DONE>>>
12:38:26 AMsdk_resultagent
success
12:38:26 AMcompletedagent
All stages complete. Final summary: - **CR row**: `dce3bcee-3dfa-44a9-b5bf-c52b7909ceab` created via `POST /api/clean-results` (4 verified `run_artifacts`: hero figure, supplementary figure, plot script, wandb project). - **Round 1**: claude=`needs_targeted_fix` (synthesized-completions framing was misleading), codex=`pass`. Reconciler sided with claude and required a single-paragraph rewrite. - **Fix applied**: `PATCH /api/clean-results/dce3bcee...` replaced the "Sample outputs (cherry-picked for illustration)" lead-in with explicit "Synthesized illustrations (not real completions)" framing. New version v2 logged. - **Round 2**: both critics pass. - **Transition**: experiment #61 → `awaiting_promotion`; `cleanResults.status` → `reviewing`; `epm:awaiting-promotion` marker posted (`66857dd0-...`). Owner can now promote via the dashboard or `python scripts/sagan_state.py promote 61 useful`.
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