Paper Citation Record · LEDGER

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification

As of 13 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 2 inbound Pith citation observations for arXiv:2412.16486.

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

pith.paper-citation-record.v1
2412.16486 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:34:53.395062Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:34:53.395062Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:56:03.223978Z

Reference resolution

21 of 21 outbound references displayed

verified exact1
verified fuzzy2
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b4a5612-fefa-4835-83fe-7ca93fea0de0 · outbound

This paper cites an unresolved cited work.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T10:34:53.300608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a61f1ed-4f5f-48d0-b814-84f148817bce · outbound

This paper cites Curran, Allyson Gallant, Helen Wong, Ca ther- ine Johnson, Alannah Delahunty-Pike, Lynora Saxinger, Derek Chu, Jeannette Comeau, Trudy Flynn, Julie Clegg, and Christopher Dye.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification Curran, Allyson Gallant, Helen Wong, Ca ther- ine Johnson, Alannah Delahunty-Pike, Lynora Saxinger, Derek Chu, Jeannette Comeau, Trudy Flynn, Julie Clegg, and Christopher Dye

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:34:54.130939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2b91d2f8-cf18-46df-868e-5d3ad7594728 · outbound

This paper cites an unresolved cited work.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T10:34:53.315933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f85c2db-2ca2-4863-a4f8-0108361af0cb · outbound

This paper cites Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T10:34:53.320762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d217ea4c-1bd7-46cc-9e9b-6403611b8e06 · outbound

This paper cites FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T10:34:53.325668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faea6f9f-8a41-4a50-b5e2-4a1d6b8710e9 · outbound

This paper cites an unresolved cited work.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T10:34:53.330531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae39ff4d-f4a7-4ba6-83c0-84d99d0e5fb8 · outbound

This paper cites an unresolved cited work.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T10:34:53.335365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e836cf94-1e7b-4444-bbed-f169f5ad633d · outbound

This paper cites Large Language Models Understand and Can be Enhanced by Emotional Stimuli.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T10:34:53.344478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7352865a-202b-4cd5-859a-9433e09add22 · outbound

This paper cites Mancenido, and Huan Liu.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification Mancenido, and Huan Liu

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T10:34:53.348895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f382df45-2f07-45cd-bc17-54c00597d748 · outbound

This paper cites an unresolved cited work.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T10:34:53.353151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 137f70d7-0622-46c2-96d0-fc753b2f10ac · outbound

This paper cites COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T10:34:53.357296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 498bbca0-0660-41db-8486-0ff00db504d7 · outbound

This paper cites an unresolved cited work.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T10:34:53.363264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee4243a0-52c6-4e30-819d-106eb1a3e2cc · outbound

This paper cites Text Classification via Large Language Models.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification Text Classification via Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T10:34:53.367830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c05669c0-e568-413b-8a74-e822d0467f74 · outbound

This paper cites an unresolved cited work.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:34:54.091871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0b0defab-611f-4f16-9a12-76b490e86ecc · outbound

This paper cites Claim Detection in Biomedical Twitter Posts.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification Claim Detection in Biomedical Twitter Posts

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-11T10:34:53.634818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bab02088-f1a0-452f-a454-c9e0ce360a26 · outbound

This paper cites an unresolved cited work.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T10:34:53.386105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4a924af-f5d8-4d3c-acde-aca9c720938b · outbound

This paper cites an unresolved cited work.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T10:34:53.390723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e031025b-3683-4c4a-a802-cbbe0f575fe4 · outbound

This paper cites Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T10:34:53.395062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c7a64f6-3897-47d7-8f41-54bbbec8dce0 · outbound

This paper cites In Proceedings of the 34th International Conference on Neural In- formation Processing Systems (Vancouver, BC, Canada) (NIPS’20).

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification In Proceedings of the 34th International Conference on Neural In- formation Processing Systems (Vancouver, BC, Canada) (NIPS’20)

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:34:54.106725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9f79e981-ce1c-43c1-8544-778b67348c8e · outbound

This paper cites Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineerin g Sciences 381, 2257 (2023), 20230133.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineerin g Sciences 381, 2257 (2023), 20230133

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T10:34:53.310694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc71bdaa-c869-4b44-984d-873edc47978d · outbound

This paper cites an unresolved cited work.

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification Unresolved cited work

Reference 4734

Resolution: unresolved; no resolver link, observed 2026-08-11T10:34:53.377167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e031025b-3683-4c4a-a802-cbbe0f575fe4 · inbound