Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.00186.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:52:34.668288Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T01:06:50.388387Z
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 f4156250-3d1d-4e68-a3db-f145bdc5316d · inbound
RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback cites this paper.
RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback
Reference 96
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:32:28.029574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d6b58455-07b6-41e0-9ce1-0e3b620de80b · inbound
Chain-of-Verification Reduces Hallucination in Large Language Models cites this paper.
Chain-of-Verification Reduces Hallucination in Large Language Models Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback
Reference 111
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T01:06:50.391261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a411c428-c5a5-4377-abdc-21b003778c04 · inbound
Training Language Models to Self-Correct via Reinforcement Learning cites this paper.
Training Language Models to Self-Correct via Reinforcement Learning Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback
Reference 102
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T12:04:10.589902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4f01ec54-941c-4e56-bd85-34519288d3cb · inbound
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset cites this paper.
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:52:34.668288Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5978bf4-fef7-41c7-87c0-fe6233318f02 · inbound
The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input cites this paper.
The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:11.880011Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.