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Paper Citation Record · LEDGER

Towards Effective Extraction and Evaluation of Factual Claims

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.10855.

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

pith.paper-citation-record.v1
2502.10855 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:56:44.082117Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T05:48:04.428367Z

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 5110fd2a-d458-4d77-824f-2c6883d89293 · inbound

FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts cites this paper.

FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts Towards Effective Extraction and Evaluation of Factual Claims

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T13:56:44.082117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:44.082117Z digest=sha256:6c4b7167b314f1059fc141f702c9e29d4a689c4ba5e3f1cca403d09dfe9bdd94

Observation 1ac59be7-b12d-4971-b6d7-085a0ec39c5a · inbound

UNH at CheckThat! 2025: Fine-tuning Vs Prompting in Claim Extraction cites this paper.

UNH at CheckThat! 2025: Fine-tuning Vs Prompting in Claim Extraction Towards Effective Extraction and Evaluation of Factual Claims

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T23:01:12.190762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:01:12.190762Z digest=sha256:7f0df6864314a48e4ea4b27f1ba7434e76e4f8ca645ce2837b4ee2b35f311e32

Observation e5bba826-16c8-4c12-b504-ce7f58d8c5b6 · inbound

From Binary Groundedness to Support Relations: Towards a Reader-Centred Taxonomy for Comprehension of AI Output cites this paper.

From Binary Groundedness to Support Relations: Towards a Reader-Centred Taxonomy for Comprehension of AI Output Towards Effective Extraction and Evaluation of Factual Claims

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:30:58.680332Z

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=2026-05-10T17:37:28.129376Z digest=sha256:61aa63b038bf544f45a913708974f3d10ae96561cc4827aaa0e6ea37d9c0733d

Observation 97420663-9832-49be-8d85-21d587a02671 · inbound

FT-RAG: A Fine-grained Retrieval-Augmented Generation Framework for Complex Table Reasoning cites this paper.

FT-RAG: A Fine-grained Retrieval-Augmented Generation Framework for Complex Table Reasoning Towards Effective Extraction and Evaluation of Factual Claims

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:01:08.847357Z

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=2026-05-09T14:15:21.477553Z digest=sha256:b0659c62ab944c1c0ecab5a120da8d89eef4d0e74d9aae8cd0d2310a7813e5a3

Observation ab0252c6-78ca-46da-ad35-bb925eb80d88 · inbound

Language Mutations Sustain the Persistences of Conspiracy Theories on Social Media cites this paper.

Language Mutations Sustain the Persistences of Conspiracy Theories on Social Media Towards Effective Extraction and Evaluation of Factual Claims

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:48:04.430097Z

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=2026-05-20T05:46:28.065108Z digest=sha256:e2c2d221125f0e82d3d920786c8e53e1789a348c4c846057d0bdb85d04d58f9c