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Paper Citation Record · LEDGER

Zero-Resource Hallucination Prevention for Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2309.02654.

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

pith.paper-citation-record.v1
2309.02654 v3

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 2026-08-07T15:39:17.661094Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T01:05:16.553329Z

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 c6124468-7436-416c-8953-c96afa385684 · inbound

A Survey of Hallucination in Large Foundation Models cites this paper.

A Survey of Hallucination in Large Foundation Models Zero-Resource Hallucination Prevention for Large Language Models

Reference 135

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:21:00.954046Z

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.

source=arxiv_source observed=2026-05-16T15:21:00.778049Z digest=sha256:e8e647b0aec72b417ec812f017598a0f0d7b7bb7f9bdea0fd1d174bc16841d7f

Observation f8bbb785-fbe7-4dac-a26e-f48f5f8b2ad6 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Zero-Resource Hallucination Prevention for Large Language Models

Reference 207

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:46:27.790036Z

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.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:b5dd0f0f2a90c9b679c8d871e700bbed6dc8ae8a208a41396e24e61d45ca7d50

Observation 3cef1b22-d5df-40c3-8fac-69d24a0a9fd8 · inbound

Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs cites this paper.

Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs Zero-Resource Hallucination Prevention for Large Language Models

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T00:52:02.542357Z

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.

source=pdf_text observed=2026-05-18T00:52:02.421389Z digest=sha256:c2fade440343211248cc86c542f7c9b512b2ef63bfe57913c5bc03e8bca9e089

Observation 3b951f86-ae35-4774-a481-4e680b7d9d56 · inbound

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices Zero-Resource Hallucination Prevention for Large Language Models

Reference 164

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:05:16.555793Z

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.

source=pdf_text observed=2026-05-23T01:03:26.037233Z digest=sha256:69b899ba5b3120a19485b1033607cad5f08255b3cd607b43d63256137d086bdf

Observation 6c3d9d33-08a1-4979-8d6f-5f644730bd46 · inbound

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis cites this paper.

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis Zero-Resource Hallucination Prevention for Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T15:39:17.661094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:39:17.661094Z digest=sha256:3c1bdada69688564466b966bbf0fa87e0b2d33e62f2419c6f62851164573e3f4

Observation f54e3a99-6d1a-4e6f-a624-1da69c3f0ec6 · inbound

RoE-FND: A Case-Based Reasoning Approach with Dual Verification for Fake News Detection via LLMs cites this paper.

RoE-FND: A Case-Based Reasoning Approach with Dual Verification for Fake News Detection via LLMs Zero-Resource Hallucination Prevention for Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T11:07:06.886309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:07:06.886309Z digest=sha256:db8b5b1def927b55fc83870de1845cb7e3cb6f54c1c12b4509a8a50c2e92d723

Observation 4d25b101-aacd-4ad6-9bd9-0ed4e5fe2151 · inbound

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models cites this paper.

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models Zero-Resource Hallucination Prevention for Large Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T20:03:49.053574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:03:49.053574Z digest=sha256:d706663f379d4f004fd381838c68434cb299f94e695a0dcc95aadd4112d6bd65