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Paper Citation Record · LEDGER

Automatically Categorising GitHub Repositories by Application Domain

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2208.00269.

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

pith.paper-citation-record.v1
2208.00269 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:25:40.987177Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:56:23.846438Z

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 3aca8c80-aadd-4499-8143-bdc548906788 · inbound

Comparing ML-Specific and General Python Code Smells Across Project Characteristics cites this paper.

Comparing ML-Specific and General Python Code Smells Across Project Characteristics Automatically Categorising GitHub Repositories by Application Domain

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:56:23.848415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T13:48:35.927387Z digest=sha256:9c7a4fbc4f749bcc87395c0908f1832189971a9eea23f695a9f0b282105c3953

Observation 3a965cdb-b842-4e22-8d25-704514012005 · inbound

Maintenance Signals in AI-Assisted GitHub Repositories: Evidence from GenAI Adopters cites this paper.

Maintenance Signals in AI-Assisted GitHub Repositories: Evidence from GenAI Adopters Automatically Categorising GitHub Repositories by Application Domain

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T08:35:00.146968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:35:00.146968Z digest=sha256:903a57d6524991c02396b12275d99720b3be6f7de2acafb91deed66959e25064

Observation 73a4a87e-8b25-466d-ae73-37b1c41e18be · inbound

Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report cites this paper.

Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report Automatically Categorising GitHub Repositories by Application Domain

Reference 103

Resolution
unresolved
no resolver link, observed 2026-08-16T00:25:40.987177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:25:40.987177Z digest=sha256:3971d897ea110c345842ddd5cf5ab7d6e5e4efed51098db46781295e7ad0a9ec