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Paper Citation Record · LEDGER

A Survey on Automated Program Repair Techniques

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2303.18184.

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

pith.paper-citation-record.v1
2303.18184 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 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:37:17.260411Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T20:53:58.506506Z

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 95b27463-83b1-4f46-8771-3b163b83bc85 · inbound

SysLLMatic: Large Language Models are Software System Optimizers cites this paper.

SysLLMatic: Large Language Models are Software System Optimizers A Survey on Automated Program Repair Techniques

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-19T12:22:17.208943Z

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=pdf_text observed=2026-05-19T12:17:34.743290Z digest=sha256:cb37e47e38f0164fc563c180153f6f6be7d0fd28615b0bf895c7a6ceda14f06c

Observation 8e25dc2d-cb46-4de8-94da-cec5fc7caa6d · inbound

Agentic Program Repair from Test Failures at Scale: A Neuro-symbolic approach with static analysis and test execution feedback cites this paper.

Agentic Program Repair from Test Failures at Scale: A Neuro-symbolic approach with static analysis and test execution feedback A Survey on Automated Program Repair Techniques

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:17.260411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:17.260411Z digest=sha256:642540a39da23228badcde3ab4517e746085fe609253e8c9c25ed9d19d07a469

Observation 3746f785-8437-48fb-8f0c-039596c5d6bd · inbound

The Impact of Fine-tuning Large Language Models on Automated Program Repair cites this paper.

The Impact of Fine-tuning Large Language Models on Automated Program Repair A Survey on Automated Program Repair Techniques

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T13:56:42.743085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:42.743085Z digest=sha256:cd18e4d91e4cb5afe11aa11a4b20214eb60c7476492fdbfbaabc72ea68994ec3

Observation caf87326-35a1-48e1-ae98-1d60ccf5cc6a · inbound

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation cites this paper.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation A Survey on Automated Program Repair Techniques

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T11:39:10.269219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:10.269219Z digest=sha256:e8c199bde8d0014c9a07c14fc6ff537875cd9dad3e469f3eda99168f5a3adf49

Observation 804e6dfc-b36b-4a8f-86b9-4970318f95e5 · inbound

A Tertiary Review of Large Language Model-Based Code Generating Tasks: Trends, Challenges, and Future Directions cites this paper.

A Tertiary Review of Large Language Model-Based Code Generating Tasks: Trends, Challenges, and Future Directions A Survey on Automated Program Repair Techniques

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-06-29T20:53:58.508352Z

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=pdf_text observed=2026-06-29T20:48:19.988304Z digest=sha256:35ebff304c428c57fce511c6a8dd9c36bb97661b1921a59528c8b4c1ad64ecc6