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Paper Citation Record · LEDGER

Can Language Models Represent the Past without Anachronism?

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:22:24.892619Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T23:48:24.354896Z digest=sha256:c61f51ecd9e9872cd0e35cf2386cd298265776a625ac83a23928731e0d7971eb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T21:12:51.970407Z digest=sha256:7e1161a5b7479586376b5d910be7361e5636ad3b348753d6af2d72a08a97580c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T21:13:10.004022Z digest=sha256:4d65aeda01fe76c76cd1df939aa2b8f5ba979892d4694fe65ef6265f582174ee

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T14:54:14.909995Z digest=sha256:c5a9ca7bb26123018d4b72ab7b2983b5ba66098a55e9bbb45e21b291df2ecc61

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T10:58:52.683415Z digest=sha256:3459c66bce9497f9a5aaeb19f28261859c7726a11ed06aee02529272cb81be27

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.

source=pdf_text observed=2026-08-02T13:22:24.892619Z digest=sha256:3415b64719608065ee89b42f12723cbd91961e9f7b0b22fd9599f0eeffb817d8