extract: 2026-03-24-x-research-vibhu-tweet #1961

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leo wants to merge 1 commit from extract/2026-03-24-x-research-vibhu-tweet into main
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leo added 1 commit 2026-03-26 08:00:13 +00:00
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Validation: PASS — 0/0 claims pass

tier0-gate v2 | 2026-03-26 08:01 UTC

<!-- TIER0-VALIDATION:4edf486a6548acafeb63a8237607464c0436cf70 --> **Validation: PASS** — 0/0 claims pass *tier0-gate v2 | 2026-03-26 08:01 UTC*
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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's 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's 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 -->
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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": "2026-03-26T08:01:07.267101+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.
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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*
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Leo Review — PR #1961

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


No claims to evaluate — this is a source file that was processed 3 times and correctly returned 0 claims each time. The content is low-signal social media chatter (replies about Vibhu's tweets on Solana). Null-result is the right call.

However, the file has several structural issues:

1. Wrong directory

File is in inbox/queue/, but per schemas/source.md, sources belong in inbox/archive/. Queue files appear to be a pipeline staging area — a processed null-result should land in archive.

2. Duplicate frontmatter fields

processed_by and processed_date appear 3 times in the YAML block (lines 10-11, 14-15, 18-19). YAML only retains the last value, so the first two processing records are silently lost. If multiple extraction attempts need to be recorded, use a list structure or extraction_notes that captures the history.

3. Triplicated body content

"Key Facts" section appears 3 times identically (lines 47-60, 55-60, 62-69). Looks like each extraction pass appended without deduplicating.

4. Missing required fields per source schema

  • author — missing (should be something like "various (@millw11488, @beeman_nl, etc.)")
  • url — missing (required even for aggregated content)
  • intake_tier — missing (likely research-task or undirected)

5. Missing notes field

Schema requires notes for null-result status explaining why no claims were extracted. The extraction_notes field captures that LLM returned 0 claims, but the schema expects a human-readable notes explaining why — e.g., "Source is social media reactions without substantive claims about Solana ecosystem mechanics."

6. Non-schema fields

source_type, contribution_type, extraction_model aren't in the source schema. source_type is a legacy alias for format; the others appear to be pipeline metadata. Minor — but worth standardizing if this is a pattern.


Verdict: request_changes
Model: opus
Summary: Null-result source archive with correct extraction outcome, but file has structural issues: wrong directory (queue vs archive), triplicated content from repeated extraction passes, duplicate YAML keys, and missing required schema fields (author, url, intake_tier, notes).

# Leo Review — PR #1961 **Branch:** `extract/2026-03-24-x-research-vibhu-tweet` **Files:** 1 (`inbox/queue/2026-03-24-x-research-vibhu-tweet.md`) **Type:** Source archive (null-result) --- No claims to evaluate — this is a source file that was processed 3 times and correctly returned 0 claims each time. The content is low-signal social media chatter (replies about Vibhu's tweets on Solana). Null-result is the right call. However, the file has several structural issues: ### 1. Wrong directory File is in `inbox/queue/`, but per `schemas/source.md`, sources belong in `inbox/archive/`. Queue files appear to be a pipeline staging area — a processed null-result should land in archive. ### 2. Duplicate frontmatter fields `processed_by` and `processed_date` appear 3 times in the YAML block (lines 10-11, 14-15, 18-19). YAML only retains the last value, so the first two processing records are silently lost. If multiple extraction attempts need to be recorded, use a list structure or `extraction_notes` that captures the history. ### 3. Triplicated body content "Key Facts" section appears 3 times identically (lines 47-60, 55-60, 62-69). Looks like each extraction pass appended without deduplicating. ### 4. Missing required fields per source schema - `author` — missing (should be something like "various (@millw11488, @beeman_nl, etc.)") - `url` — missing (required even for aggregated content) - `intake_tier` — missing (likely `research-task` or `undirected`) ### 5. Missing `notes` field Schema requires `notes` for null-result status explaining why no claims were extracted. The `extraction_notes` field captures that LLM returned 0 claims, but the schema expects a human-readable `notes` explaining *why* — e.g., "Source is social media reactions without substantive claims about Solana ecosystem mechanics." ### 6. Non-schema fields `source_type`, `contribution_type`, `extraction_model` aren't in the source schema. `source_type` is a legacy alias for `format`; the others appear to be pipeline metadata. Minor — but worth standardizing if this is a pattern. --- **Verdict:** request_changes **Model:** opus **Summary:** Null-result source archive with correct extraction outcome, but file has structural issues: wrong directory (queue vs archive), triplicated content from repeated extraction passes, duplicate YAML keys, and missing required schema fields (author, url, intake_tier, notes). <!-- VERDICT:LEO:REQUEST_CHANGES -->
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Theseus Domain Peer Review — PR #1961

Source: inbox/queue/2026-03-24-x-research-vibhu-tweet.md
Domain: internet-finance (Rio's territory)
Status as filed: null-result


Domain Assessment

This source is Solana ecosystem social content — influencer tweet effects on app growth, community banter about ghostwriting, and a token launch controversy. No AI/alignment content. My domain expertise doesn't surface anything Rio's evaluation would have missed.

The null-result call is correct. The content is anecdotal, non-specific, and lacks the causal mechanisms needed for a claim. "Vibhu's tweet grew an app from 20 to 500 users in 3 hours" is interesting social evidence but doesn't constitute a proposable claim without knowing which app, what the baseline growth was, or whether the effect was durable. The right call was to not extract.


Structural Issues Worth Flagging

Two issues visible even from a domain-agnostic read:

  1. Wrong directory. The file is in inbox/queue/ but its status is null-result. The existing inbox/null-result/ directory contains exactly this kind of source. This file should be there, not in queue — queue implies pending processing.

  2. Triple-duplicated content. The frontmatter fields processed_by, processed_date, extraction_model, and extraction_notes each appear three times (once per processing run on 2026-03-24, 2026-03-25, and 2026-03-26). The "Key Facts" section body is also duplicated three times verbatim. This looks like a pipeline bug where each reprocessing run appended rather than updated. The file should have one set of these fields reflecting the final processing run.


Verdict: request_changes
Model: sonnet
Summary: Null-result call is correct, source has no extractable claims. Two structural issues: wrong directory (queue vs null-result) and triple-duplicated frontmatter/body content from repeated pipeline runs.

# Theseus Domain Peer Review — PR #1961 **Source:** `inbox/queue/2026-03-24-x-research-vibhu-tweet.md` **Domain:** internet-finance (Rio's territory) **Status as filed:** null-result --- ## Domain Assessment This source is Solana ecosystem social content — influencer tweet effects on app growth, community banter about ghostwriting, and a token launch controversy. No AI/alignment content. My domain expertise doesn't surface anything Rio's evaluation would have missed. **The null-result call is correct.** The content is anecdotal, non-specific, and lacks the causal mechanisms needed for a claim. "Vibhu's tweet grew an app from 20 to 500 users in 3 hours" is interesting social evidence but doesn't constitute a proposable claim without knowing which app, what the baseline growth was, or whether the effect was durable. The right call was to not extract. --- ## Structural Issues Worth Flagging Two issues visible even from a domain-agnostic read: 1. **Wrong directory.** The file is in `inbox/queue/` but its status is `null-result`. The existing `inbox/null-result/` directory contains exactly this kind of source. This file should be there, not in queue — queue implies pending processing. 2. **Triple-duplicated content.** The frontmatter fields `processed_by`, `processed_date`, `extraction_model`, and `extraction_notes` each appear three times (once per processing run on 2026-03-24, 2026-03-25, and 2026-03-26). The "Key Facts" section body is also duplicated three times verbatim. This looks like a pipeline bug where each reprocessing run appended rather than updated. The file should have one set of these fields reflecting the final processing run. --- **Verdict:** request_changes **Model:** sonnet **Summary:** Null-result call is correct, source has no extractable claims. Two structural issues: wrong directory (queue vs null-result) and triple-duplicated frontmatter/body content from repeated pipeline runs. <!-- VERDICT:THESEUS:REQUEST_CHANGES -->
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Changes requested by leo(cross-domain), theseus(domain-peer). Address feedback and push to trigger re-eval.

teleo-eval-orchestrator v2

**Changes requested** by leo(cross-domain), theseus(domain-peer). Address feedback and push to trigger re-eval. *teleo-eval-orchestrator v2*
m3taversal closed this pull request 2026-03-26 08:04:51 +00:00

Pull request closed

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