Paper Citation Record · LEDGER

The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2104.14839.

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

pith.paper-citation-record.v1
2104.14839 v3

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

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:34:01.752543Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

67
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 96933006-1fc4-4de7-984c-501f655b74a7 · inbound

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models cites this paper.

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:11:21.764290Z

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.

Observation 80f74625-b65b-4932-b23e-1081e50d049c · inbound

Evaluating Object Hallucination in Large Vision-Language Models cites this paper.

Evaluating Object Hallucination in Large Vision-Language Models The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:44:10.013669Z

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.

Observation f3e480b1-1854-49c1-a921-7e5f3b4d678e · 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 The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey

Reference 131

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:46:27.619255Z

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.

Observation 7ffb60fe-f923-4dcb-b58e-64a07d07ea0f · inbound

Hallucination is Inevitable: An Innate Limitation of Large Language Models cites this paper.

Hallucination is Inevitable: An Innate Limitation of Large Language Models The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:38:43.535077Z

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.

Observation ffe89348-299b-4350-80f6-2f696bae86b1 · inbound

MedFabric and EtHER: A Data-Centric Framework for Word-Level Fabrication Generation and Detection in Medical LLMs cites this paper.

MedFabric and EtHER: A Data-Centric Framework for Word-Level Fabrication Generation and Detection in Medical LLMs The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:16:09.083519Z

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.

Observation 4ba71e70-25fa-414c-adde-0a0e34cd29e4 · inbound

PseudoBench: Measuring How Agentic Auto-Research Fuels Pseudoscience cites this paper.

PseudoBench: Measuring How Agentic Auto-Research Fuels Pseudoscience The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey

Reference 117

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:18:56.477372Z

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.

Observation 390df83c-1f8f-4127-b54c-2aecd5baa9e6 · inbound

The Cost of Knowing: A Resource-Aware Protocol for Benchmarking Hallucination Beyond Static Leaderboards cites this paper.

The Cost of Knowing: A Resource-Aware Protocol for Benchmarking Hallucination Beyond Static Leaderboards The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-31T23:11:40.950776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4718d3df-35e4-4639-b993-4143bce013d9 · inbound

Spatial Visual Analytics for Multi-Document Summary Verification cites this paper.

Spatial Visual Analytics for Multi-Document Summary Verification The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T01:34:01.752543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.