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

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:28:32.641395Z

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

source=arxiv_source observed=2026-05-16T00:08:36.530560Z digest=sha256:08581a9e920a36020509c5f9f753a83b41f08fac942bf50a102375b116d631ad

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

source=pdf_text observed=2026-05-11T23:08:34.312466Z digest=sha256:10720d2c7aeed3eb815cbcc71a8014dec773542c0782f1b379adde9e381f6c07

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=sha256:50e8540cc5909885eda9174c66eaa7e743d8e9e15919e448954b4b1ead3d4cb2

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

source=arxiv_source observed=2026-05-10T17:42:31.465077Z digest=sha256:6b2d579804cb5d006467d252d4f47692eebbaf23d3c015c3a571b8e948ea980a

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

source=arxiv_source observed=2026-05-10T01:00:41.543394Z digest=sha256:e581a5ec10ce67b17f9d98ca3e6ec4f2cf6a7aece7a18f1f9ee9c46b8f9981a7

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

source=arxiv_source observed=2026-06-27T07:07:29.681778Z digest=sha256:c7011c6abf6df273a8a8af9ecfa1fe90835499ce47944f4fa74196546eed1a46

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

source=pdf_text observed=2026-06-25T20:58:53.119386Z digest=sha256:e0b7a6cea4645bbef73aa5e6ed4e085a02b3d346d56a2d598ea788a93d9ee1e5

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