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Paper Citation Record · LEDGER

Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.07215.

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

pith.paper-citation-record.v1
2311.07215 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:10:06.316817Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b0bd6f3d-6622-401c-8c27-017072c8b63e · inbound

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study cites this paper.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T23:10:06.316817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:10:06.316817Z digest=sha256:3467131479ec131336abffc0754a19226e76785314aba10fcbdefe3597c7407e

Observation 8c526802-31f3-4443-b70e-bc8124f7e078 · inbound

Learning to Generate Unit Tests for Automated Debugging cites this paper.

Learning to Generate Unit Tests for Automated Debugging Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-09T14:52:11.696058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:52:11.696058Z digest=sha256:36cc9d24ed2e44a68295aae90417d4e9340dd58f87057d59877b0e634c4fe09a

Observation 6e935684-55d7-456c-8509-f65269ff7fdd · inbound

An End-to-End Approach for Fixing Concurrency Bugs via SHB-Based Context Extractor cites this paper.

An End-to-End Approach for Fixing Concurrency Bugs via SHB-Based Context Extractor Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback

Reference 78

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:05:49.742862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T19:20:22.353790Z digest=sha256:985b52c48ee65612f1306d48984e1a4b775b39c1b5ba2e1882a0584ab654c180

Observation 4ea8f965-8de7-47c8-ab30-fabfc02bc653 · inbound

Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring cites this paper.

Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-09T19:35:39.068439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-09T19:33:35.690030Z digest=sha256:c7fe0395992dc85ea8498f841529234eabe91d9574450277f41d104726d53887

Observation 7fb9206f-3d9a-4cbe-84ce-68f1a7369f4e · inbound

Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring cites this paper.

Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:15:52.429972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:56:43.707252Z digest=sha256:23e43aa344561fcad7eabcc6cc3a39a87aa754cf95e1fce925bd27f1e3aae582