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Paper Citation Record · LEDGER

Using Similarity to Evaluate Factual Consistency in Summaries

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.15090.

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

pith.paper-citation-record.v1
2409.15090 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T18:32:27.664424Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:33:50.294063Z

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 c7a6a673-9f91-4b0a-9940-875026262ffd · inbound

Optimising Factual Consistency in Summarisation via Preference Learning from Multiple Imperfect Metrics cites this paper.

Optimising Factual Consistency in Summarisation via Preference Learning from Multiple Imperfect Metrics Using Similarity to Evaluate Factual Consistency in Summaries

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:33:50.295542Z

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.

source=pdf_text observed=2026-06-29T18:32:27.664424Z digest=sha256:5d4c5b62f85fd5561a61cde3028e1d6988b5af8f65e0faf6426f2fea98080b57

Observation 7c1a8b22-67b9-4acc-bf24-6e59cfc3dacf · inbound

Teaching Language Models to Check Grounded Claim Factuality with Human Test-Taking Strategies cites this paper.

Teaching Language Models to Check Grounded Claim Factuality with Human Test-Taking Strategies Using Similarity to Evaluate Factual Consistency in Summaries

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:53:14.307475Z

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.

source=pdf_text observed=2026-06-29T07:34:59.260741Z digest=sha256:a14b609e034ea84a4c3291af8b969478ba19d7f8b44f40292d9f6733bdc4f9c5