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Paper Citation Record · LEDGER

Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2104.13346.

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

pith.paper-citation-record.v1
2104.13346 v2

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 2026-08-06T18:28:32.641395Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:50:11.108909Z

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 e6d92098-29a1-496d-880f-8c0e199671dc · inbound

The Internal State of an LLM Knows When It's Lying cites this paper.

The Internal State of an LLM Knows When It's Lying Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-16T00:08:36.599139Z

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=arxiv_source observed=2026-05-16T00:08:36.530560Z digest=sha256:aac5c4ee4010117045882eafcd36b71ad74c617b4fec9f326fa1680e7deb1230

Observation 5c3e0202-fe66-4900-b451-31b2657567bd · inbound

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics

Reference 174

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:11:13.228793Z

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=2026-05-11T23:08:34.312466Z digest=sha256:cd360bf69fa0674b963783e21f5cc14d72c56cb309fcb9a899d15c61d5a64a8b

Observation b1e73fd0-cee7-4016-a4c0-012e0c8f34be · inbound

Beyond N-Grams: Rethinking Evaluation Metrics and Strategies for Multilingual Abstractive Summarization cites this paper.

Beyond N-Grams: Rethinking Evaluation Metrics and Strategies for Multilingual Abstractive Summarization Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T18:28:32.641395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:28:32.641395Z digest=sha256:f30293003328cc946c9957c004e0f1db8ad5017521fa6a0df97011ec20a1917f

Observation cf151074-b3c4-44b3-9556-51c3873e06bf · inbound

Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts cites this paper.

Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:15:59.020552Z

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=arxiv_source observed=2026-05-10T17:42:31.465077Z digest=sha256:3ded3224096766418ae7441fb209723e5949e43ed6cd4ea91b27bf183ca5207f

Observation 25c68272-e49e-4832-873e-1deeeae74ef6 · inbound

Whose Story Gets Told? Positionality and Bias in LLM Summaries of Life Narratives cites this paper.

Whose Story Gets Told? Positionality and Bias in LLM Summaries of Life Narratives Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics

Reference 137

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T01:04:50.259624Z

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=arxiv_source observed=2026-05-10T01:00:41.543394Z digest=sha256:9ab15d3f3cca619b0789265de0717d79786631befe1b0c5387567db67ca71da1

Observation be27c03a-54c6-4d1f-a06a-bcbe40b798c6 · inbound

Detect, Remask, Repair: Diffusion Editing for Faithful Summarization of Evolving Contexts cites this paper.

Detect, Remask, Repair: Diffusion Editing for Faithful Summarization of Evolving Contexts Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:18:22.791905Z

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=arxiv_source observed=2026-06-27T07:07:29.681778Z digest=sha256:bfdc294cccb2d0de54f1d7c10b4f0b5c9907881f9d9fac804d0b787dc0b51051

Observation 9eda3f3f-dc53-4adb-a324-854541e9b078 · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics

Reference 68

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T19:50:11.110971Z

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=2026-06-25T20:58:53.119386Z digest=sha256:a81c07519c3724c49db9bd3a31a87933a4ec709fc3192f5433d422f39aac9587

Observation 969e05c8-8a75-4fb9-a262-5453a555c349 · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-02T10:16:43.751639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:16:43.751639Z digest=sha256:ebf5fccaea8ab4c138f4fc211406b61723e030f095a5bfc84f15e7b0caf7bdf7