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Paper Citation Record · LEDGER

A Gold Standard Dataset for the Reviewer Assignment Problem

As of 3 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.16750.

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

pith.paper-citation-record.v1
2303.16750 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 2026-08-03T06:30:56.289259+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 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 1a1b97a0-c8b6-49d9-bbcf-1214a015c8ad · 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 A Gold Standard Dataset for the Reviewer Assignment Problem

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T07:48:07.320623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-20T07:45:50.470698Z digest=sha256:b8a6bd7bb5d7b26ee2695cb86fbb1d5750963f16edde078af4a245928ef8642c

Observation 520e8384-649f-4dd1-b2d5-712480002046 · 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 A Gold Standard Dataset for the Reviewer Assignment Problem

Reference 117

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:48:07.527244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-20T07:45:50.470698Z digest=sha256:75be007eb9d22613bba224d4039028d4fa79c55267dc17c4bb92b3d99d81e90e