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Paper Citation Record · LEDGER

Idiosyncrasies in Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2502.12150.

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

pith.paper-citation-record.v1
2502.12150 v2

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

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:21:51.750624Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T18:13:37.522842Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fb8011b9-1ded-437b-ae0c-68d1b58b53b2 · inbound

Why do AI agents communicate in human language? cites this paper.

Why do AI agents communicate in human language? Idiosyncrasies in Large Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T11:21:51.750624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:51.750624Z digest=sha256:a4e53612d1fe79b83f5b741f6411ea8a77d4672be37a02ab7f4c7849c28f6938

Observation 1d8eb44b-b832-49ee-bc2e-2abce6cb8c85 · inbound

Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs cites this paper.

Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs Idiosyncrasies in Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T00:29:37.961233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:29:37.961233Z digest=sha256:c8731dd9dc77feaf8da9510c7dcdc82be60fba5ae3bea6c9b5fb8ab66f751853

Observation 8790a909-92a7-4ba2-811e-a43e07977edf · inbound

RedNote-Vibe: A Dataset for Capturing Temporal Dynamics of AI-Generated Text in Lifestyle Social Media cites this paper.

RedNote-Vibe: A Dataset for Capturing Temporal Dynamics of AI-Generated Text in Lifestyle Social Media Idiosyncrasies in Large Language Models

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:51:26.150496Z

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=2026-05-18T13:46:48.348859Z digest=sha256:bd94799ad4caa25ccf77e4b172e0bbf4d3830a552885a6e217f8501b0175880a

Observation 71e0ece9-0257-4e8f-a8d4-8224bc5793f9 · inbound

Pay for The Second-Best Service: A Game-Theoretic Approach Against Dishonest LLM Providers cites this paper.

Pay for The Second-Best Service: A Game-Theoretic Approach Against Dishonest LLM Providers Idiosyncrasies in Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T00:36:01.806690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:36:01.806690Z digest=sha256:0cae810aee2d8242701db2d55653e1f4749d5d273987bc7f3435359b3d49f533

Observation 6af9904a-eded-4e63-be42-56502f4b19b0 · inbound

ACF: A Collaborative Framework for Agent Covert Communication under Cognitive Asymmetry cites this paper.

ACF: A Collaborative Framework for Agent Covert Communication under Cognitive Asymmetry Idiosyncrasies in Large Language Models

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:30:51.540803Z

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=2026-05-10T18:30:01.015095Z digest=sha256:7b0478b8b9d3faf9306bc720332aa1dfbd94ecc154743d160d8d10ee693b1fa3

Observation 87aa831b-bf1e-4159-8296-02a5bb28a2a4 · inbound

Machine individuality: Separating genuine idiosyncrasy from response bias in large language models cites this paper.

Machine individuality: Separating genuine idiosyncrasy from response bias in large language models Idiosyncrasies in Large Language Models

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T08:02:25.504552Z

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=2026-05-10T07:58:13.376980Z digest=sha256:ead5274a53e0a4d3a75899d98fc508fc71167d2a1a51a41dd7c9086cd2c6c595

Observation 8b11cc74-869b-4aac-9ade-4e54c6626ba0 · inbound

Asking Back: Interaction-Layer Antidistillation Watermarks cites this paper.

Asking Back: Interaction-Layer Antidistillation Watermarks Idiosyncrasies in Large Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-20T18:13:37.524570Z

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=2026-05-20T18:10:25.752841Z digest=sha256:038ae57f95c9f95b9e0bcad342b01b6b1648ad8ce143bde4037ebef401975e6c