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extract: 2026-03-24-x-research-vibhu-tweet #1990

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leo wants to merge 1 commit from extract/2026-03-24-x-research-vibhu-tweet into main
pull from: extract/2026-03-24-x-research-vibhu-tweet
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leo commented 2026-03-26 21:30:19 +00:00
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leo added 1 commit 2026-03-26 21:30:19 +00:00 
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
m3taversal commented 2026-03-26 21:30:46 +00:00
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Validation: PASS — 0/0 claims pass

tier0-gate v2 | 2026-03-26 21:30 UTC

<!-- TIER0-VALIDATION:207e22dcc652a1ce7c8217d6fdda8ef7b89577c9 --> **Validation: PASS** — 0/0 claims pass *tier0-gate v2 | 2026-03-26 21:30 UTC*
leo commented 2026-03-26 21:31:02 +00:00
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Eval started — 2 reviewers: leo (cross-domain, opus), theseus (domain-peer, sonnet)

teleo-eval-orchestrator v2

**Eval started** — 2 reviewers: leo (cross-domain, opus), theseus (domain-peer, sonnet) *teleo-eval-orchestrator v2*
leo commented 2026-03-26 21:31:14 +00:00
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  1. Factual accuracy — The "Key Facts" section is duplicated in the inbox/queue/2026-03-24-x-research-vibhu-tweet.md file, which is a factual error in the file structure.
  2. Intra-PR duplicates — The "Key Facts" section is duplicated within the inbox/queue/2026-03-24-x-research-vibhu-tweet.md file.
  3. Confidence calibration — This PR contains an inbox file, which does not have claims or confidence levels.
  4. Wiki links — This PR contains an inbox file, which does not contain wiki links.
1. **Factual accuracy** — The "Key Facts" section is duplicated in the `inbox/queue/2026-03-24-x-research-vibhu-tweet.md` file, which is a factual error in the file structure. 2. **Intra-PR duplicates** — The "Key Facts" section is duplicated within the `inbox/queue/2026-03-24-x-research-vibhu-tweet.md` file. 3. **Confidence calibration** — This PR contains an inbox file, which does not have claims or confidence levels. 4. **Wiki links** — This PR contains an inbox file, which does not contain wiki links. <!-- ISSUES: factual_discrepancy, near_duplicate --> <!-- VERDICT:LEO:REQUEST_CHANGES -->
m3taversal commented 2026-03-26 21:31:14 +00:00
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Rejected — 1 blocking issue

[BLOCK] Factual accuracy: Claim contains factual errors or misrepresents source material

  • Fix: Re-read the source. Verify specific numbers, names, dates. If source X quotes source Y, attribute to Y.

[WARN] Duplicate check: Substantially similar claim already exists in KB

  • Fix: Check KB index before extracting. If similar claim exists, add evidence as an enrichment instead of creating a new file.
<!-- REJECTION: {"issues": ["factual_discrepancy", "near_duplicate"], "source": "eval_attempt_1", "ts": "2026-03-26T21:31:14.289117+00:00"} --> **Rejected** — 1 blocking issue **[BLOCK] Factual accuracy**: Claim contains factual errors or misrepresents source material - Fix: Re-read the source. Verify specific numbers, names, dates. If source X quotes source Y, attribute to Y. **[WARN] Duplicate check**: Substantially similar claim already exists in KB - Fix: Check KB index before extracting. If similar claim exists, add evidence as an enrichment instead of creating a new file.
theseus commented 2026-03-26 21:31:49 +00:00
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Theseus Domain Peer Review — PR 1990

Single changed file: inbox/queue/2026-03-24-x-research-vibhu-tweet.md

This source has zero content relevant to AI/alignment/collective intelligence. The source documents Solana community social dynamics around a Vibhu tweet — influencer-driven user growth, community in-jokes, a token launch defense. Rio correctly returned a null-result after three extraction passes.

Nothing here touches my domain. No claims to evaluate, no wiki-link connections to flag, no confidence calibration issues.

The only structural note worth mentioning: the frontmatter has three duplicate processed_by/processed_date/extraction_model/extraction_notes blocks and the ## Key Facts section is repeated three times. This looks like the pipeline appended to the file on each processing attempt rather than updating in place. Not a blocker, but the duplication is noise — ideally the pipeline would overwrite the status block rather than append.

Verdict: approve
Model: sonnet
Summary: No AI/alignment content in this PR. Null-result source correctly handled by Rio. Structural duplication in frontmatter/body is a minor pipeline artifact, not a knowledge quality issue.

# Theseus Domain Peer Review — PR 1990 Single changed file: `inbox/queue/2026-03-24-x-research-vibhu-tweet.md` This source has zero content relevant to AI/alignment/collective intelligence. The source documents Solana community social dynamics around a Vibhu tweet — influencer-driven user growth, community in-jokes, a token launch defense. Rio correctly returned a null-result after three extraction passes. Nothing here touches my domain. No claims to evaluate, no wiki-link connections to flag, no confidence calibration issues. The only structural note worth mentioning: the frontmatter has three duplicate `processed_by`/`processed_date`/`extraction_model`/`extraction_notes` blocks and the `## Key Facts` section is repeated three times. This looks like the pipeline appended to the file on each processing attempt rather than updating in place. Not a blocker, but the duplication is noise — ideally the pipeline would overwrite the status block rather than append. **Verdict:** approve **Model:** sonnet **Summary:** No AI/alignment content in this PR. Null-result source correctly handled by Rio. Structural duplication in frontmatter/body is a minor pipeline artifact, not a knowledge quality issue. <!-- VERDICT:THESEUS:APPROVE -->
leo commented 2026-03-26 21:31:49 +00:00
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Leo Review — PR #1990

Branch: extract/2026-03-24-x-research-vibhu-tweet
Files: 1 (inbox/queue/2026-03-24-x-research-vibhu-tweet.md)

Assessment

This is a null-result source archive — no claims extracted, which is the correct call. The raw content is social media chatter (replies about Vibhu/Solana tweets) with no extractable propositions for the knowledge base. Null results are valuable for preventing duplicate work, so archiving this is fine in principle.

Issues

Duplicate processing artifacts. The file was clearly run through the extraction pipeline 3 times, and each run appended its own processed_by, processed_date, extraction_model, and extraction_notes fields plus a duplicate "Key Facts" section. The result is:

  • 3x duplicate YAML keys (processed_by, processed_date, extraction_model, extraction_notes) — invalid YAML (later keys silently override earlier ones in most parsers, but the intent is clearly wrong)
  • 3x identical "Key Facts" sections in the body

This should be collapsed to a single processing record.

File location. File is in inbox/queue/ but the source schema specifies archives go in inbox/archive/. If this is intentional queue semantics for the pipeline, fine — but confirm.

Missing required fields per source schema:

  • author — missing (could be "various / community replies")
  • url — missing (no link to original tweet or thread)
  • intake_tier — missing (likely undirected or research-task)

Non-standard fields:

  • source_type: x-research — schema uses format: (with tweet or thread as values). source_type is listed as a legacy alias.
  • extraction_notes — not in schema; should be notes
  • contribution_type: research-direction — not in schema at all

Null-result without explanation. Schema requires notes explaining why no claims were extracted when status: null-result. The extraction_notes field is close but (a) uses the wrong field name and (b) only says "LLM returned 0 claims" which is a pipeline log, not an explanation. Something like "Social media chatter about Vibhu's influence on Solana ecosystem; no falsifiable propositions or novel evidence" would satisfy the requirement.

Verdict

No claims to evaluate against the 11 quality criteria — this is purely a source archive entry. The null-result decision is correct. But the file has enough structural issues (duplicate processing artifacts, missing required fields, wrong location) that it should be cleaned up before merge.

Verdict: request_changes
Model: opus
Summary: Correct null-result on low-signal social chatter, but file has duplicate processing artifacts (3x repeated fields and body sections), missing required source fields (author, url, intake_tier), and non-standard field names. Clean up before merge.

# Leo Review — PR #1990 **Branch:** `extract/2026-03-24-x-research-vibhu-tweet` **Files:** 1 (`inbox/queue/2026-03-24-x-research-vibhu-tweet.md`) ## Assessment This is a null-result source archive — no claims extracted, which is the correct call. The raw content is social media chatter (replies about Vibhu/Solana tweets) with no extractable propositions for the knowledge base. Null results are valuable for preventing duplicate work, so archiving this is fine in principle. ## Issues **Duplicate processing artifacts.** The file was clearly run through the extraction pipeline 3 times, and each run appended its own `processed_by`, `processed_date`, `extraction_model`, and `extraction_notes` fields plus a duplicate "Key Facts" section. The result is: - 3x duplicate YAML keys (`processed_by`, `processed_date`, `extraction_model`, `extraction_notes`) — invalid YAML (later keys silently override earlier ones in most parsers, but the intent is clearly wrong) - 3x identical "Key Facts" sections in the body This should be collapsed to a single processing record. **File location.** File is in `inbox/queue/` but the source schema specifies archives go in `inbox/archive/`. If this is intentional queue semantics for the pipeline, fine — but confirm. **Missing required fields per source schema:** - `author` — missing (could be "various / community replies") - `url` — missing (no link to original tweet or thread) - `intake_tier` — missing (likely `undirected` or `research-task`) **Non-standard fields:** - `source_type: x-research` — schema uses `format:` (with `tweet` or `thread` as values). `source_type` is listed as a legacy alias. - `extraction_notes` — not in schema; should be `notes` - `contribution_type: research-direction` — not in schema at all **Null-result without explanation.** Schema requires `notes` explaining why no claims were extracted when `status: null-result`. The `extraction_notes` field is close but (a) uses the wrong field name and (b) only says "LLM returned 0 claims" which is a pipeline log, not an explanation. Something like "Social media chatter about Vibhu's influence on Solana ecosystem; no falsifiable propositions or novel evidence" would satisfy the requirement. ## Verdict No claims to evaluate against the 11 quality criteria — this is purely a source archive entry. The null-result decision is correct. But the file has enough structural issues (duplicate processing artifacts, missing required fields, wrong location) that it should be cleaned up before merge. **Verdict:** request_changes **Model:** opus **Summary:** Correct null-result on low-signal social chatter, but file has duplicate processing artifacts (3x repeated fields and body sections), missing required source fields (author, url, intake_tier), and non-standard field names. Clean up before merge. <!-- VERDICT:LEO:REQUEST_CHANGES -->
leo commented 2026-03-26 21:31:49 +00:00
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Changes requested by leo(cross-domain). Address feedback and push to trigger re-eval.

teleo-eval-orchestrator v2

**Changes requested** by leo(cross-domain). Address feedback and push to trigger re-eval. *teleo-eval-orchestrator v2*
m3taversal closed this pull request 2026-03-26 21:34:43 +00:00

Pull request closed

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Reference: teleo/teleo-codex#1990
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