Paper Citation Record · LEDGER

Improving Factuality of Abstractive Summarization via Contrastive Reward Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2307.04507.

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

pith.paper-citation-record.v1
2307.04507 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:07:04.076333Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T01:06:50.199577Z

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 804599b7-79b0-4f30-ae69-2e46d41181b4 · inbound

Chain-of-Verification Reduces Hallucination in Large Language Models cites this paper.

Chain-of-Verification Reduces Hallucination in Large Language Models Improving Factuality of Abstractive Summarization via Contrastive Reward Learning

Reference 117

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:06:50.202525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0070976f-fd65-4af9-aa01-37bb5ef63250 · inbound

Ontology-Constrained Generation of Domain-Specific Clinical Summaries cites this paper.

Ontology-Constrained Generation of Domain-Specific Clinical Summaries Improving Factuality of Abstractive Summarization via Contrastive Reward Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T14:07:04.076333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8a3f514-a686-42e6-b917-84f033b43de0 · inbound

Learning to Substitute Words with Model-based Score Ranking cites this paper.

Learning to Substitute Words with Model-based Score Ranking Improving Factuality of Abstractive Summarization via Contrastive Reward Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T17:24:12.861635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e8fb983-4d21-44aa-9692-0bfb1a751c55 · inbound

Learning to Control Summaries with Score Ranking cites this paper.

Learning to Control Summaries with Score Ranking Improving Factuality of Abstractive Summarization via Contrastive Reward Learning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:41:36.348027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 09bf9ec4-a671-4f25-bc51-e1e1af656e0b · inbound

Calibrating Model-Based Evaluation Metrics for Summarization cites this paper.

Calibrating Model-Based Evaluation Metrics for Summarization Improving Factuality of Abstractive Summarization via Contrastive Reward Learning

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:41:37.056207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.