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Paper Citation Record · LEDGER

Chainpoll: A high efficacy method for LLM hallucination detection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2310.18344.

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

pith.paper-citation-record.v1
2310.18344 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:50:24.319544Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T02:46:27.543592Z

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 19e863e2-2d2d-4994-9300-578d6901783c · 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 Chainpoll: A high efficacy method for LLM hallucination detection

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:46:27.546134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:04891d653c20de5c1882dfa4c0344561608e10448507a150d754e5f52c47e3df

Observation 630e8550-171a-433a-8a60-7f8984721d75 · inbound

Transparent NLP: Using RAG and LLM Alignment for Privacy Q&A cites this paper.

Transparent NLP: Using RAG and LLM Alignment for Privacy Q&A Chainpoll: A high efficacy method for LLM hallucination detection

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-08T14:50:24.319544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:50:24.319544Z digest=sha256:b80ddf4df0b49f68376f6065e190e7bc4bebba125b1ac7dbdd55dadc49a077c3

Observation 899a92dc-d6d8-43f3-9cf3-ecfca2d1d066 · inbound

Teaching Audio-Aware Large Language Models What Does Not Hear: Mitigating Hallucinations through Synthesized Negative Samples cites this paper.

Teaching Audio-Aware Large Language Models What Does Not Hear: Mitigating Hallucinations through Synthesized Negative Samples Chainpoll: A high efficacy method for LLM hallucination detection

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T15:36:05.194841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:36:05.194841Z digest=sha256:82eab2567ee905b9c109f39f1cae469e0f3c8731ac9d524cab88ccedf0447872

Observation 32b43ff9-4957-47af-9b3f-5e4dad2789e7 · inbound

KEA Explain: Explanations of Hallucinations using Graph Kernel Analysis cites this paper.

KEA Explain: Explanations of Hallucinations using Graph Kernel Analysis Chainpoll: A high efficacy method for LLM hallucination detection

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T20:09:20.408595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:20.408595Z digest=sha256:2391042a637648563ef01d988d42ab6a4409320399d3e105c0d9992adb4f4be9

Observation 0ae3a80a-4ac6-4f8d-8820-f1d83c47f1e0 · inbound

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs cites this paper.

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs Chainpoll: A high efficacy method for LLM hallucination detection

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-03T12:42:33.768951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:42:33.768951Z digest=sha256:807fdb6a6754716a4ab583c1fede272ae6726d31d4b43ebcd1ab3fbf1d0b7aa3

Observation ac61daf9-e3b4-43af-8130-07a833ff3edf · inbound

Hallucination as an Anomaly: Dynamic Intervention via Probabilistic Circuits cites this paper.

Hallucination as an Anomaly: Dynamic Intervention via Probabilistic Circuits Chainpoll: A high efficacy method for LLM hallucination detection

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:51:11.324693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T10:52:14.666333Z digest=sha256:1136bbac43a75963c4ecc492afa554c752c77d8551a340c0a5cdca62489a5bb8

Observation 6b34c4ef-48be-4859-bab4-e015bc65ebb2 · inbound

Using Semantic Distance to Estimate Uncertainty in LLM-Based Code Generation cites this paper.

Using Semantic Distance to Estimate Uncertainty in LLM-Based Code Generation Chainpoll: A high efficacy method for LLM hallucination detection

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:11:15.959621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T02:07:49.789835Z digest=sha256:cae62c6e46fc6aac46912b012016d6ca09f68806c8d73d188e8cb45e71fdcbb1

Observation 5aed4956-ab66-48d4-8600-f7c137b87db9 · inbound

Decomposed Entailment for Factuality Checking and Hallucination Detection cites this paper.

Decomposed Entailment for Factuality Checking and Hallucination Detection Chainpoll: A high efficacy method for LLM hallucination detection

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T22:53:05.324808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T22:53:05.324808Z digest=sha256:fe22b271d9acb1c6c7cc176089f2eb68bbe5b98b66ea6db49cdf45e71e9a402b