Paper Citation Record · LEDGER

Can Language Models Represent the Past without Anachronism?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2505.00030.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.00030 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:19:07.104825Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 05819b65-bd19-4ef0-b2ff-623c1d44d8e3 · inbound

Computational Hermeneutics: Evaluating generative AI as a cultural technology cites this paper.

Computational Hermeneutics: Evaluating generative AI as a cultural technology Can Language Models Represent the Past without Anachronism?

Reference 107

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:48:27.109698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0d215811-0309-469a-8ba5-929aec969499 · inbound

Stabilising Generative Models of Attitude Change cites this paper.

Stabilising Generative Models of Attitude Change Can Language Models Represent the Past without Anachronism?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:13:16.256685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8e8dcaa0-bf7c-440d-8736-4eeb61553a4a · inbound

On the Cultural Anachronism and Temporal Reasoning in Vision Language Models cites this paper.

On the Cultural Anachronism and Temporal Reasoning in Vision Language Models Can Language Models Represent the Past without Anachronism?

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T21:15:04.028647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eaedfaf7-1d26-4328-8afa-8812c5985672 · inbound

AI as a Tool for Simulation-Based Experiments in Literary Studies cites this paper.

AI as a Tool for Simulation-Based Experiments in Literary Studies Can Language Models Represent the Past without Anachronism?

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T15:02:18.949657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ae9a2cc5-4f63-431d-9ed3-6cb3ac0da4ce · inbound

Pretraining Language Models on Historical Text cites this paper.

Pretraining Language Models on Historical Text Can Language Models Represent the Past without Anachronism?

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:26:26.397781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4f9f299f-8eea-4dbf-a1c0-35a460b472dc · inbound

TimeCapsule: Generative Hallucination as a Method for Historical Sensemaking cites this paper.

TimeCapsule: Generative Hallucination as a Method for Historical Sensemaking Can Language Models Represent the Past without Anachronism?

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T13:22:24.892619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47b46409-4bf5-4f6a-9c8f-04bef053cb4d · inbound

Where Models Converge and Humans Diverge: A Coverage Framework for Distributional Pluralism in Open-Ended Generation cites this paper.

Where Models Converge and Humans Diverge: A Coverage Framework for Distributional Pluralism in Open-Ended Generation Can Language Models Represent the Past without Anachronism?

Reference 115

Resolution: unresolved; no resolver link, observed 2026-08-08T10:19:07.104825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.