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Paper Citation Record · LEDGER

Practical Program Repair in the Era of Large Pre-trained Language Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2210.14179.

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

pith.paper-citation-record.v1
2210.14179 v2

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 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:46:24.466950Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T23:05:49.785196Z

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 f3c1221e-494d-484c-8eb3-34ed7ef122a7 · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Practical Program Repair in the Era of Large Pre-trained Language Models

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-10T17:34:43.043605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:ade9e8bc7048fd9efabae93b34934a3bd205bf9f0fe024415b47728d42e8b152

Observation cf1afebc-5bca-4095-91af-f68ac5b1ad26 · inbound

When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair cites this paper.

When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair Practical Program Repair in the Era of Large Pre-trained Language Models

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-12T04:46:24.466950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:46:24.466950Z digest=sha256:dca24e62f8a183ff1e8cba53a2bc767e4f320e0b3acce2fee3b0a9ac59e1fda2

Observation 66e6bfa1-eb77-495b-b6a6-c583ae4c3343 · inbound

HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation cites this paper.

HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation Practical Program Repair in the Era of Large Pre-trained Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T23:21:37.832818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:37.832818Z digest=sha256:fda5005566800eab41a96c3e196a7e028f49ddc0045182f9477a6ad1a6f3c9d4

Observation 83a408ca-b9e5-4aa1-bc47-f2d1ee3be6a9 · inbound

SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution cites this paper.

SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution Practical Program Repair in the Era of Large Pre-trained Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T21:25:59.030681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:25:59.030681Z digest=sha256:29259e12e836b6fce78f7b98a70b2d4dd6f7b9b200275eadde552b20a912fb8f

Observation b8550438-d0eb-4f26-b761-ab8a1634469f · 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 Practical Program Repair in the Era of Large Pre-trained Language Models

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:05:49.808520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T19:20:22.353790Z digest=sha256:806b28f4c6fc46bc73ddaca8485442119bba995b2a9e61c0d544e802c805b9cd