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Paper Citation Record · LEDGER

Matching Papers and Reviewers at Large Conferences

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.12273.

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

pith.paper-citation-record.v1
2202.12273 v4

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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T07:45:50.470698Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f6b7b77a-9fd6-423d-925f-7858997ad7ac · inbound

Traditional statistical representations outperform generative AI in identifying expert peer reviewers cites this paper.

Traditional statistical representations outperform generative AI in identifying expert peer reviewers Matching Papers and Reviewers at Large Conferences

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:48:07.281808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-20T07:45:50.470698Z digest=sha256:683713ca8180c910344b7957cdc9dbfb79165adbdd79aac51d5d450469eac784

Observation 47ed20b5-df09-4617-83b9-8f101d1adea1 · inbound

Traditional statistical representations outperform generative AI in identifying expert peer reviewers cites this paper.

Traditional statistical representations outperform generative AI in identifying expert peer reviewers Matching Papers and Reviewers at Large Conferences

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:48:07.479088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-20T07:45:50.470698Z digest=sha256:8370bf69d712b356c0d7b650d09d03b7cea9dd7b85cf6c1c07e80237e44909e6