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Paper Citation Record · LEDGER

Large Language Models of Code Fail at Completing Code with Potential Bugs

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.03438.

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

pith.paper-citation-record.v1
2306.03438 v2

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 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:34:35.060143Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T11:05:42.242411Z

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 6291033b-b81e-447f-a26f-805c09cbd247 · inbound

SWE-bench: Can Language Models Resolve Real-World GitHub Issues? cites this paper.

SWE-bench: Can Language Models Resolve Real-World GitHub Issues? Large Language Models of Code Fail at Completing Code with Potential Bugs

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:02:01.293155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T14:02:01.201111Z digest=sha256:f808078fb0032d7a4b6237a6fe18a5976311b2554afc328cbd16898f8ded7a98

Observation e80f39b2-79a5-4510-b2b2-b089273a4e35 · inbound

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code cites this paper.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Large Language Models of Code Fail at Completing Code with Potential Bugs

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T19:34:35.060143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:34:35.060143Z digest=sha256:e7d1f734150a1a4013b7a12e246aba1d999f4b35c0103648837ca8cf6c93fc03

Observation 7bf9c61e-ee49-4481-8d5e-fe57c8d492c6 · inbound

Falsification, Not Exposure: An Internally Preregistered Placebo-Controlled Decomposition of Self-Repair Feedback in Frozen Small Code Models cites this paper.

Falsification, Not Exposure: An Internally Preregistered Placebo-Controlled Decomposition of Self-Repair Feedback in Frozen Small Code Models Large Language Models of Code Fail at Completing Code with Potential Bugs

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-01T11:05:42.243708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-01T04:44:56.520156Z digest=sha256:f2d79d16008f6cd212a6454ec6cd8bb9ecc675ca1b424e1f2f593745903e5f14