ChronoCulture's older-year-naming asymmetry remains unverified by any independent source
This capture is a targeted search against question-corroborate-chronoculture-older-year-naming-asymmetry: does any source independent of ChronoCulture (arXiv:2610.20472) test whether naming the older of two decades-distant survey years helps an LLM's cultural-value prediction only as the real shift between those years grows large (while naming the newer year does not)? The search covered keyword search across "temporal flattening," "year anchoring," "cultural divergence," and the LLM-anchoring-bias literature, plus a direct read of the one paper both ChronoCulture and its corroborating preprint cite as addressing temporal alignment at all (resolving an open citation lead from the question note). No independent test of the specific conditional effect was found.
Claim: No independent source has run the specific older-year/large-shift experiment
verifies: question-corroborate-chronoculture-older-year-naming-asymmetry
A dedicated search found no paper, independent of ChronoCulture (arXiv:2610.20472) itself, that (a) prompts a model with an older, decades-distant survey year versus no year, (b) stratifies the result by the size of the real cultural shift between that older year and a recent one, and (c) reports whether the older-year benefit grows with shift size while a newer-year label does not. The nearest candidates — Daryani, Bogen & Daepp (2026) and Liu, Kaneko & Chu (2026, below) — each test a related but distinct question (whether naming the most recent year helps, or which wave a model's unprompted answer resembles) and neither varies an older year under a large shift. Adjacent literature on anchoring bias in LLMs (numerical-estimate anchoring, negotiation anchoring, e.g. arXiv:2511.05766, arXiv:2606.12818) was also checked and uses numerical or price anchors rather than calendar years tied to survey data, so it does not bear on this claim either.
This is the complete, honest outcome after genuine search effort, not a gap in search diligence: the central question of question-corroborate-chronoculture-older-year-naming-asymmetry is marked [unverified — could not confirm or deny after search]. The claim remains single-sourced on arXiv:2610.20472 (independent_roots: 1), as already recorded on claim-chronoculture-naming-older-survey-year-helps-only-as-real-shift-grows-larger.
Claim: Liu, Kaneko & Chu (2026) — the third paper in this citation network — also does not reach the asymmetry
verifies: question-corroborate-chronoculture-older-year-naming-asymmetry
The open question's "candidate leads not yet fetched" named "Liu et al. (2026), cited by both ChronoCulture and Daryani et al. as testing LLM alignment against WVS waves 5–7 for five countries (full citation unresolved)." That citation is now resolved and the paper read directly: Yang Liu, Masahiro Kaneko & Chenhui Chu, "On the Alignment of Large Language Models with Global Human Opinion," Proceedings of the AAAI Conference on Artificial Intelligence, 40(44), 37673–37681 (2026), DOI 10.1609/aaai.v40i44.41102.
Its temporal analysis (RQ3) does not test the older-year-naming asymmetry. The method never prompts a model with an explicit older survey year at all: it instead takes each model's unprompted (no-year) opinion distribution and measures which WVS wave it most closely resembles, restricted to a small set of countries pre-selected because the model is already well-aligned with them, and the reported result is that this correlation is strongest for the most recent wave. There is no condition naming an older year, and no stratification by the size of the real shift between waves — the two features that define ChronoCulture's specific asymmetry.
So all three papers now linked in this citation network — ChronoCulture, Daryani et al., and Liu et al. — converge on "models default to a present-skewed representation," but only ChronoCulture has tested whether explicitly naming an older year, far enough back, corrects that default as the real shift grows large.
source_url: "https://arxiv.org/html/2509.01418v2" source_sha: "450af6567e3b3af220e753680f53e4e3a838739f6ce739242579dfed8f459962" source_author: "Yang Liu, Masahiro Kaneko, Chenhui Chu" source_date: "2026 (arXiv v2: 19 Nov 2025; AAAI publication 2026-03-14)" source_title: "On the Alignment of Large Language Models with Global Human Opinion" source_venue: "arXiv:2509.01418v2 [cs.CL]; published as Proceedings of the AAAI Conference on Artificial Intelligence, 40(44), 37673–37681, DOI 10.1609/aaai.v40i44.41102" source_quote: "We therefore consider which countries are well aligned by the LLM for comparison." source_quote_2: "to ensure that we can filter out at least five countries that are well aligned by LLMs" source_quote_3: "We can see that LLMs most align with the latest wave of human opinions." source_tier: 1
Claim: Daryani et al.'s own limitations section frames their null result as inconclusive, not disconfirming
verifies: question-corroborate-chronoculture-older-year-naming-asymmetry
Daryani, Bogen & Daepp (2026, arXiv:2609.01902) explicitly caveat their own null finding (that naming the most recent year does not pull a model's answer toward that year) as a limitation of method, not evidence that temporal information is simply absent from a model's weights. This matters for the open question because it means the paper most often read as "corroborating" the ChronoCulture branch does not, by its own authors' framing, claim to have tested — let alone ruled out — the specific case where naming an older year under a large shift might work differently from naming a recent year under no shift. The gap in independent testing is therefore not an oversight by secondary readers; it is a gap the primary authors themselves left open.
source_url: "https://arxiv.org/pdf/2609.01902" source_sha: "a6d68d2c05374440732800dca5e7388925f3dd07419f3b8cf4e799906b92b445" source_author: "Yalda Daryani, Miranda Bogen, Madeleine I. G. Daepp" source_date: 2026-09-01 source_title: "Accurate in space, unreliable in time: how LLMs represent national cultural change" source_venue: "arXiv:2609.01902 [cs.CY]; Dept. of Psychology, University of Southern California, and Center for Democracy and Technology" source_quote: "The weak effect of explicitly naming the survey year does not suggest that such information is not present in the model's parameters, but rather that such information, if present, is not readily accessible by means of a simple temporal instruction." source_tier: 1
Further leads
- "Cultural Divergence Preservation: Diagnosing Flattening and Caricature in LLM-Simulated Survey Populations" (Chae et al., arXiv:2609.29928) — a WVS-and-Big-Five flattening/caricature diagnostic across four LLM backbones and persona-prompting methods; not yet checked for any year-anchoring condition, only skimmed via search snippets.
- "Aligned but Flattened: Analyzing the Trade-off between Cultural Alignment and Diversity in LLMs" (arXiv:2609.00565) — adjacent flattening-under-alignment framing; not checked for temporal/year-prompt conditions.
- "Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models" (Zhang, Zhao, Li, Chen & Chen, ACL 2026, arXiv:2602.22475) — culture-adapter method, five national cultures; no apparent temporal dimension, not deeply checked.
- "Anchors in the Machine: Behavioral and Attributional Evidence of Anchoring Bias in LLMs" (arXiv:2511.05766) and "Localizing Anchoring Pathways in Language Models" (arXiv:2606.12818) — mechanistic anchoring-bias literature using numerical/price anchors, not calendar years; a possible methodological bridge for a future mechanism study of why older-year anchors would bite only under large shifts.
- Daryani et al.'s code and elicitation data are stated as public in their paper's Data Availability section (github.com/yalda-darya/cultural-trajectories, per direct read of arXiv:2609.01902) — a concrete route for a future independent run of the exact older-year/large-shift condition, re-using their WVS pipeline rather than building a new one.
Entity candidates
- Ronald Inglehart — person — co-creator (with Christian Welzel) of the Inglehart–Welzel cultural map that ChronoCulture, Daryani et al., and Liu et al. all use as the shared ground-truth coordinate system; the foundational figure this entire citation network measures its subject against, and not yet captured as an entity in the vault (compare entity-christian-welzel, his co-author, who is).
- Inglehart–Welzel cultural map — concept — the two-dimensional (traditional/secular-rational, survival/self-expression) values space that is the common measurement instrument underlying every claim in this branch and its would-be corroborators.
- Yang Liu, Masahiro Kaneko, Chenhui Chu — persons — authors of "On the Alignment of Large Language Models with Global Human Opinion" (AAAI 2026), the newly-identified third paper in the ChronoCulture citation network.
- Yalda Daryani — person — lead author of the corroborating/non-corroborating preprint arXiv:2609.01902; her own limitations language is load-bearing for this capture's third claim.