Append-only AI overlay records; the canon claim file is never mutated.
Establishedconfidence: high · Gemini 3.8 Flash (Google) — independent check run via gemini-3.8-flash · run 2026-09-10-check-gemini-200608 · unreviewed draft
An et al. (2020) explicitly report that approximately 83% of the 1134 concentric ring centers identified from the DeAbreu et al. catalogue are concentrated within three distinct regions covering only ~3% of the sky. The claim accurately reflects the published findings of the paper. Strongest opposing consideration: Bielewicz et al. (2013) demonstrated that regional clustering of low-variance ring centers is an expected manifestation of low-order CMB multipoles rather than pre-aeon black hole clusters.
Unresolvedconfidence: low · GLM 5.3 Flash (Z.ai, via Venice) — independent check run via z-ai-glm-5-3-flash · run 2026-09-10-check-glm-200608 · unreviewed draft
The 83%-of-1134-centres figure comes from the proponents' full-text-reported 2020 analysis and has never been independently reproduced or refuted; Bielewicz's earlier low-ℓ clustering mechanism is suggestive context only, using a different statistic on different data. The claim is thus an untested proponent measurement whose conventional explanation (large-scale multipole structure) is a plausible but untested candidate. CCC-R007's conditioned-sky test would settle it; until then it remains open.
Weakly supportedconfidence: low · GPT-5.6 Sol (OpenAI) — independent check run via gpt-5.6-sol · run 2026-09-10-check-gpt-200608 · unreviewed draft
The evidence records support a broad claim that proponents reported a highly non-isotropic distribution of concentric-ring centres, and CCC-E061 refers contextually to the later numerical concentration claim. No admitted evidence record directly verifies the complete compound of 1134 centres, the 83% fraction, and the stated combined sky coverage using the 2020 procedure. The strongest opposing consideration is the independent indication that regional ring clustering can arise from large-angular-scale CMB features, although that analysis used a different statistic and does not refute the reported count.
Provisionally supportedconfidence: moderate · Grok 4.5 (xAI) — independent check run via grok-4.5 · run 2026-09-10-check-grok-200608 · unreviewed draft
An et al. 2020 report the 83%-of-1134-centres-in-~3%-of-sky figure from their concentric-triple search; the number is a factual output of that pipeline. Bielewicz et al. already linked analogous clustering of low- variance rings to large-angular-scale (low-ℓ) features, offering a conventional mechanism that has not yet been tested on the exact An et al. statistic with conditioned simulations. Strongest opposing consideration is therefore that the anisotropy may be another face of the known low-ℓ anomalies rather than previous-aeon superclusters.
Well supportedconfidence: high · Opus 5 (Anthropic) — independent check run via claude-opus-5 · run 2026-09-10-check-opus-200608 · unreviewed draft
Again a reportorial claim, and the full text quoted in CCC-E009 gives the figures verbatim: about 83% of 1134 centres inside three roughly elliptical regions each no more than ~3% of the searched sky. That An et al. reported this is not in dispute. The strongest opposing consideration bears on what it means: Bielewicz et al. offer a conventional mechanism in which centre clustering reflects large-angular-scale CMB features rather than discrete sources (CCC-E061), and the number has never been re-derived against either standard or low-ℓ-conditioned ensembles, so the anisotropy is currently an unexplained figure rather than evidence for either side.
Provisionally supportedconfidence: moderate · claude-fable-5-1 · run 2026-09-10-edition-200606 · unreviewed draft
The reported concentration figure is in the 2020 paper and the non-isotropy was reported in 2013 (CCC-E006); Bielewicz et al. independently find low-variance rings clustering in a few large regions (CCC-E058, E061), so the clustering itself is observed by two groups. The interpretation is contested: Bielewicz et al. attribute it to large-angular-scale features (CCC-C524), and the two camps read CCC as predicting opposite distributions. The specific 83%-in-3% statistic has not been tested against any conventional ensemble.
Establishedconfidence: high · Gemini 3.8 Flash (Google) — independent check run via gemini-3.8-flash · run 2026-09-21-check-gemini-130059 · unreviewed draft
The text of An, Meissner, Nurowski, and Penrose (2020) explicitly states that approximately 83% of the 1134 concentric triple centers identified in their search are concentrated within three regions spanning roughly 3% of the analyzed sky. The claim accurately reports the published observational finding of that study. The strongest opposing consideration is Bielewicz et al.'s (2013) demonstration that ring-center clustering is an expected artifact of low-order multipole structure (ℓ ≤ 7) rather than localized physical sources.
Well supportedconfidence: moderate · GLM 5.3 Flash (Z.ai, via Venice) — independent check run via z-ai-glm-5-3-flash · run 2026-09-21-check-glm-130059 · unreviewed draft
The 83%-of-1134-centers-in-3%-of-sky figure is quoted from the An et al. 2020 full text, so the report itself is documented. The strongest opposing consideration is interpretive: Bielewicz et al. offer a conventional route to ring-center clustering via large-angular-scale (low-ℓ) features, and no test has been run against ΛCDM skies conditioned on the observed low multipoles (CCC-R007), so the proponent reading — previous-aeon superclusters — and the conventional reading are both live.
Mixedconfidence: moderate · GPT-5.6 Sol (OpenAI) — independent check run via gpt-5.6-sol · run 2026-09-21-check-gpt-130059 · unreviewed draft
The source directly supports the reported 1134 centres, the roughly 83% concentration, and the existence of three favored regions. However, the quoted source says each region covers no more than about 3% of the searched sky, whereas the claim says the three regions together cover roughly 3%; that exact area statement is therefore not established by the record. The strongest opposing consideration for anomaly attribution is the independent indication that regional ring clustering can arise from large-angular-scale CMB features.
Mixedconfidence: moderate · Grok 4.5 (xAI) — independent check run via grok-4.5 · run 2026-09-21-check-grok-130059 · unreviewed draft
An et al. 2020 report that ~83 % of 1134 concentric-triple centres lie inside three regions covering ~3 % of the searched sky. Bielewicz et al. 2013 had already noted that low-variance rings cluster in a few large regions and attributed the clustering to large-angular-scale (low-ℓ) features rather than discrete sources; the two findings are consistent at the qualitative level but use different statistics and have never been directly cross-checked with low-ℓ-conditioned simulations. The strongest opposing consideration is that the anisotropy could still exceed ΛCDM expectations once the precise triple-centre statistic is run on conditioned skies.
Well supportedconfidence: moderate · Opus 5 (Anthropic) — independent check run via claude-opus-5 · run 2026-09-21-check-opus-130059 · unreviewed draft
The 83%-of-1134-centres-in-three-regions-covering-~3%-of-sky figure is quoted verbatim from An et al. 2020's full text, so as a report the claim holds. Its interpretation is contested: Bielewicz et al. offer a conventional account in which such clustering indicates large-angular-scale CMB features rather than randomly distributed sources (CCC-E061), though on a different statistic and predating the figure, so it is logged as context. Strongest opposing consideration: no one has recomputed the statistic on low-ℓ-conditioned ensembles (CCC-R007), so neither the anomaly nor the conventional explanation has been quantified for this specific measurement — the claim stands as an untested number.
Establishedconfidence: high · Gemini 3.8 Flash (Google) — independent check run via gemini-3.8-flash · run 2026-09-30-check-gemini-103112 · unreviewed draft
An, Meissner, Nurowski and Penrose (2020) explicitly report in MNRAS that roughly 83% of the 1134 concentric ring triple centers reside within three regions that span approximately 3% of the analyzed sky. Because the claim simply records what was reported in the published paper, it is factually established. The strongest opposing consideration is Bielewicz et al.'s (2013) finding that such clustering is an expected consequence of known large-angular-scale multipole anomalies rather than distinct localized sources.
Weakly supportedconfidence: low · GLM 5.3 Flash (Z.ai, via Venice) — independent check run via z-ai-glm-5-3-flash · run 2026-09-30-check-glm-103112 · unreviewed draft
The 83%-of-1134-centres figure comes from a single proponent paper with no independent replication; Bielewicz et al. offer a candidate conventional mechanism (large-angular-scale features, CCC-C523/C524) but with a different statistic that predates and does not test the An et al. number (CCC-E061). The strongest opposing consideration cuts both ways: proponents read the concentration as previous-aeon superclusters while Bielewicz read clustering as inconsistent with CCC — incompatible readings of one theory, which itself illustrates the under-specified signal model.
Mixedconfidence: moderate · GPT-5.6 Sol (OpenAI) — independent check run via gpt-5.6-sol · run 2026-09-30-check-gpt-103112 · unreviewed draft
The primary evidence supports the core report that about 83% of 1134 centres fell within three concentrated regions. However, the quoted source says each region covered no more than about 3% of the searched sky, whereas the claim as written says the three regions together covered roughly 3%; that numerical distinction is not resolved by the records. The strongest consideration favoring the claim is the direct full-text report, while the strongest alternative explanation is that regional clustering can arise from large-angular-scale CMB structure.
Mixedconfidence: moderate · Grok 4.5 (xAI) — independent check run via grok-4.5 · run 2026-09-30-check-grok-103112 · unreviewed draft
An et al. 2020 report that ~83% of 1134 concentric-triple centres lie inside three regions covering ~3% of searched sky—an extreme anisotropy. Bielewicz et al. earlier showed that low-variance ring centres cluster because of large-angular-scale (low-ℓ) features rather than randomly distributed sources, offering a conventional mechanism, yet they used a different statistic and predate the 83% figure. The strongest opposing consideration is that a direct test against low-ℓ-conditioned simulations has not been performed.
Mixedconfidence: moderate · Opus 5.5 (Anthropic) — independent check run via claude-opus-5-5 · run 2026-09-30-check-opus-103112 · unreviewed draft
The anchored quote supports the core of the report: about 83% of 1134 concentric-triple centres lie within three roughly elliptical regions, which the proponents present as strong anisotropy. But the same sentence gives 3% as a per-region upper bound — 'each of not more than about 3% of the entire region of the sky being examined' — so the three regions may together cover up to roughly 9%. The claim's 'three regions covering roughly 3% of the searched sky' (a reading repeated in CCC-R007 and E061) is therefore not what the quote says, and may overstate the concentration by up to a factor of three. Beyond wording, the result has no independent re-test: Bielewicz et al. offer a large-angular-scale mechanism for regional ring clustering (E061, context), but with an earlier and different statistic. Strongest opposing consideration: the full text, which I cannot see, may state the combined area elsewhere, so the discrepancy is flagged at moderate rather than high confidence.
Mixedconfidence: moderate · claude-opus-5-5 · run 2026-09-30-edition-093242 · unreviewed draft
The proponents' paper reports that about 83% of 1134 triple centres lie within three regions, but its text says each region covers no more than about 3% of the searched sky. The claim's 'three regions covering roughly 3%' therefore overstates the concentration; the source allows up to roughly three times that area. A qualitatively anisotropic distribution was also reported in 2013 (CCC-E006). Bielewicz et al. offer large-scale features as a cause of such clustering, on a different statistic (CCC-E061). This adopts the GPT and Grok dissents.