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Paper Citation Record · LEDGER

Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.07981.

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

pith.paper-citation-record.v1
2212.07981 v2

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:03:22.328378Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T01:11:09.253622Z

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 bb2fe461-8a32-44de-bbb0-0360212fc709 · inbound

LLMs Get Lost In Multi-Turn Conversation cites this paper.

LLMs Get Lost In Multi-Turn Conversation Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:11:09.255463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T00:57:10.262350Z digest=sha256:609532cce98a35393c5aaca0a7d21c3e19f505feccfa9e327c4653d1e36a22be

Observation e7aabc83-b375-45d3-9a29-657f56ad7393 · inbound

When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation cites this paper.

When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-03T00:03:22.328378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:03:22.328378Z digest=sha256:f0b2c3c0666724a6b3e5c9df2f504b7a1ce5d455b30d902523e471ec85fd731b