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Paper Citation Record · LEDGER

Statistical Dataset Evaluation: Reliability, Difficulty, and Validity

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.09272.

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

pith.paper-citation-record.v1
2212.09272 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:51:46.334675Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T03:58:51.387024Z

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 57d8ea31-6488-46f3-9878-94aa96121c75 · inbound

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology cites this paper.

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology Statistical Dataset Evaluation: Reliability, Difficulty, and Validity

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-24T03:58:51.393796Z

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=2026-05-24T03:58:32.556725Z digest=sha256:08f43c9632c8deea98005e588ec8d71a0d7f462bd5098754237c6ad889962a02

Observation 5ff7869a-3a01-4ec5-97ce-41f3c772ca14 · inbound

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information cites this paper.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Statistical Dataset Evaluation: Reliability, Difficulty, and Validity

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:46.334675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:46.334675Z digest=sha256:1dd0b2e871c51964e86cc1be1ebd72dd3e27efde7ae189d183c545d732c3a305