Claim LD10-HQ-C23 (v1.1)
China-originating LLMs showed higher refusal rates, shorter responses and more inaccurate answers on 145 China-politics questions than non-China models; the study is observational and does not establish that regulation causes the gap.
Provenance and status
- Claim type
- ESTIMATE (as printed: “ESTIMATE”)
- Publication status
- ELIGIBLE (NON_CAUSAL) (as printed: “ELIGIBLE WITH NON-CAUSAL QUALIFIER”)
- Verification state
- CONTENT_VERIFIED_PRIMARY (as printed: “CONTENT VERIFIED”; verified by: UNKNOWN)
- Does not license
- Causal regulatory effect or downstream belief effect
- Source (field 6, as printed)
- Pan & Xu, PNAS Nexus 2026
- Source type (field 7)
- PEER_REVIEWED_JOURNAL_ARTICLE (as printed: “Peer-reviewed article”)
- Institutional position
- Independent academic
- Maturity (claim evidence / publication maturity)
- EMERGING (as printed: “EMERGING”)
- Recorded date
- 2026-10-13
- Currentness / correction
- This is the current version. No correction or concern relation is recorded on its Sources.
Version
Pinned version v1.1 (entry LD10-HQ-C23--v1.1) — this page never floats to newer evidence.
This pinned version is also the current version.
What changed in this version
This version supersedes LD10-HQ-C23--v1.0, which stays available unchanged.
- Changed fields
- 2 PUBLIC-FACING CLAIM; 25 RECORDED DATE
- What changed
- The public-facing claim now says the study does not establish that regulation causes the gap, instead of saying it does not identify regulation as the "sole" cause.
- Why
- A claim check on 13 October 2026 found that "not the sole cause" implies the study shows regulation to be a partial cause; the HQ primary read of Pan & Xu says the study explicitly does not establish a causal relationship between regulation and censorship behaviour. The check and this revision were done by AI agents against the HQ notes, not by a person.
Pinned Sources (field 6, version-specific)
- “Pan & Xu, PNAS Nexus 2026” → SRC-LD07-PAN-XU-CENSORSHIP-2026--v1.0 — Pan & Xu, “Political censorship in large language models originating from China,” PNAS Nexus 5(2):pgag013 (2026); class PEER_REVIEWED_JOURNAL_ARTICLE (explicit public provenance pin)
Read the originals
- SRC-LD07-PAN-XU-CENSORSHIP-2026: open the original
All 25 canonical Claim fields (raw values and normalized values)
| # | Canonical field | Canonical value (verbatim) | Normalized (Claim Value Vocabulary v1.0.2) |
|---|---|---|---|
| 1 | CLAIM ID | LD10-HQ-C23 | — |
| 2 | PUBLIC-FACING CLAIM | China-originating LLMs showed higher refusal rates, shorter responses and more inaccurate answers on 145 China-politics questions than non-China models; the study is observational and does not establish that regulation causes the gap. | — |
| 3 | CLAIM TYPE | ESTIMATE | base_types: ESTIMATE |
| 4 | RESEARCH STRAND | F — Platform/jurisdiction governance | — |
| 5 | MATURITY | EMERGING | states: EMERGING |
| 6 | SOURCE | Pan & Xu, PNAS Nexus 2026 | source_ids: SRC-LD07-PAN-XU-CENSORSHIP-2026 |
| 7 | SOURCE TYPE | Peer-reviewed article | classes: PEER_REVIEWED_JOURNAL_ARTICLE |
| 8 | INSTITUTIONAL POSITION | Independent academic | — |
| 9 | SCOPE | Chinese- and English-language prompts; China-origin vs non-China models | — |
| 10 | DESIGN | Cross-sectional audit | — |
| 11 | SAMPLE / DATASET | 145 political questions plus less-sensitive set | — |
| 12 | MODEL / TOOL / VERSION | BaiChuan, ChatGLM, Ernie, DeepSeek vs Llama/GPT families | — |
| 13 | COMPARATOR | China-origin vs non-China-origin models | — |
| 14 | MAIN RESULT | Large refusal/content differences; smaller gaps on less-sensitive prompts; all models refused more in Chinese | — |
| 15 | INFERENTIAL TARGET | Association between provider origin/jurisdiction and model behaviour | — |
| 16 | DOES NOT LICENSE | Causal regulatory effect or downstream belief effect | — |
| 17 | VERIFICATION STATE | CONTENT VERIFIED | state: CONTENT_VERIFIED_PRIMARY · verified_by: UNKNOWN |
| 18 | LIMITATIONS | Observational; model vintages; provider and technical differences | — |
| 19 | CONTRADICTORY / SUPPORTING SOURCES | Chinese regulatory framework is a plausible institutional condition | — |
| 20 | GEOGRAPHY / LANGUAGE | PRC-origin vs non-PRC / Chinese and English | — |
| 21 | DISTRIBUTIONAL LEDGER | Chinese-language users received more refusals across models | — |
| 22 | R01 / FIELD-MAP LINKS | D7, D6, D9, L-B, R-1 | — |
| 23 | WHAT WOULD CHANGE THIS CLAIM? | Newer-model longitudinal audit or causal design | — |
| 24 | PUBLICATION STATUS | ELIGIBLE WITH NON-CAUSAL QUALIFIER | state: ELIGIBLE · qualifiers: NON_CAUSAL |
| 25 | RECORDED DATE | 2026-10-13 | — |
Field 22 references resolved against Field Map v0.2: D7 (DOMAIN); D6 (DOMAIN); D9 (DOMAIN); L-B (LENS); R-1 (LENS)
Research-of-record provenance
Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 42999ace40b1a0e064cbb5db742a1d6b8f14c5bcb7e542adeb96c85cf115b0d1.
Repository-authored inputs (not Drive exports)
- SocioLens claim revision — LD10-HQ-C23 v1.1 (v1.1) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-13; no Drive identity exists. Authority: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and docs/PROJECT.md "Research revisions" (a published claim changes only through a new version that states what changed and why). Block “ENTRY 23 — LD10-HQ-C23” SHA-256
b43928015cbcfda8409c2381df0b1f843facf02602e2c8540da96acbd2196f81; fixturefixtures/authored/claim-revisions/LD10-HQ-C23--v1.1.
Builder decisions (not Drive data)
- VERSION = v1.1 — basis: Claim version taken from the repository-authored revision fixture version (SocioLens claim revision — LD10-HQ-C23 v1.1); a new version of LD10-HQ-C23 v1.0, which stays routable (AGENTS.md research integrity rule 3)
- CURRENT_POINTER = true — basis: repository-authored revision "SocioLens claim revision — LD10-HQ-C23 v1.1" (Project Lead (Claude, AI), 2026-10-13); basis: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and docs/PROJECT.md "Research revisions" (a published claim changes only through a new version that states what changed and why)
- FIELD_6_SOURCE_REFERENCE = SRC-LD07-PAN-XU-CENSORSHIP-2026--v1.0 — basis: field 6 of ENTRY 23 — LD10-HQ-C23 cites "Pan & Xu, PNAS Nexus 2026"; the first field-6 segment of this ClaimVersion's repository-authored ledger block; the same Source record LD10-HQ-C23 v1.0 cites.
- SOURCE_PROVENANCE_PIN = SRC-LD07-PAN-XU-CENSORSHIP-2026--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Pan & Xu, PNAS Nexus 2026".