Pith. sign in

Paper Citation Record · LEDGER

AI-Assisted Assessment of Coding Practices in Modern Code Review

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.13565.

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

pith.paper-citation-record.v1
2405.13565 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 2026-08-09T11:20:06.510427Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T18:48:07.941175Z

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 9cee57fa-9932-47e5-984e-ecccd19b2ae4 · inbound

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation cites this paper.

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation AI-Assisted Assessment of Coding Practices in Modern Code Review

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-09T11:20:06.510427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:20:06.510427Z digest=sha256:471017727f72f077dbcaf1b390dd38bd277ebc9862b4cb6243be6279eb8c0174

Observation bc984999-8e59-45dd-8338-c0b4ecde8e9d · inbound

From Industry Claims to Empirical Reality: An Empirical Study of Code Review Agents in Pull Requests cites this paper.

From Industry Claims to Empirical Reality: An Empirical Study of Code Review Agents in Pull Requests AI-Assisted Assessment of Coding Practices in Modern Code Review

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:48:07.942447Z

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=2026-05-13T18:45:23.801303Z digest=sha256:619cdebf5679bb056cd4a87ad3d81a1e1521cb62aff0c1ad559b3ae79129b26f