Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2104.13346.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T17:40:41.119384Z
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 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+00:00.
Observation 5dad3194-6d41-4ece-861f-1819fece0b42 · inbound
Understanding Design Fixation in Generative AI cites this paper.
Understanding Design Fixation in Generative AI Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T17:40:41.119384Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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.
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 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+00:00.
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.