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Paper Citation Record · LEDGER

Agentic Software Issue Resolution with Large Language Models: A Survey

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2512.22256.

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

pith.paper-citation-record.v1
2512.22256 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:24:28.280124Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:07:47.066701Z

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 fac030b3-d0f0-4da9-916f-e29c81d087e4 · inbound

REAgent: Requirement-Driven LLM Agents for Software Issue Resolution cites this paper.

REAgent: Requirement-Driven LLM Agents for Software Issue Resolution Agentic Software Issue Resolution with Large Language Models: A Survey

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-08-07T01:32:40.015165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T17:56:32.201591Z digest=sha256:bea2d584b708c579312237a777b11c617ff2cb0095a9d9903b3d65fa9697a08e

Observation f144b45c-05e8-4d51-8b90-d7418d141e34 · inbound

Hot Fixing in the Wild cites this paper.

Hot Fixing in the Wild Agentic Software Issue Resolution with Large Language Models: A Survey

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-08-07T01:32:40.015165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-07T11:41:18.071912Z digest=sha256:f526099a2cb8caf77c3ef8992233bfabdd8306af229486ae3cdcadc8a7053eda

Observation 64bb1dbf-6115-435d-862f-704a02a25a72 · inbound

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents cites this paper.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents Agentic Software Issue Resolution with Large Language Models: A Survey

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-08-07T01:32:40.015165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-07T08:03:11.421470Z digest=sha256:505c52703dc577a3ac7bc062714f25f07e5b726713421f2ff3ae033eb15950b5

Observation 354d0ec4-60ee-4ed3-87e0-e27964010f39 · inbound

Agentic Agile-V: From Vibe Coding to Verified Engineering in Software and Hardware Development cites this paper.

Agentic Agile-V: From Vibe Coding to Verified Engineering in Software and Hardware Development Agentic Software Issue Resolution with Large Language Models: A Survey

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-08-07T01:32:40.015165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T06:51:24.566343Z digest=sha256:998f85323cb37b3ea62a0e03cf4ffc35e7394cda076ae0511564c0d8dcf925b7

Observation d8df8c82-bc4b-4332-9153-5350e2d3c5ea · inbound

"Refactoring Runaway": Understanding and Mitigating Tangled Refactorings in Coding Agents for Issue Resolution cites this paper.

"Refactoring Runaway": Understanding and Mitigating Tangled Refactorings in Coding Agents for Issue Resolution Agentic Software Issue Resolution with Large Language Models: A Survey

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-08-07T01:32:40.015165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T03:58:08.767022Z digest=sha256:0517a047ee8677bc537bd8aaf41f00d8679aff1e6f903557a23bf64bee6d9aeb

Observation 569a8285-280b-44db-8df9-7dae1f2a70f6 · inbound

Names Are All You Need: Effective and Safe Regression Test Selection for Python cites this paper.

Names Are All You Need: Effective and Safe Regression Test Selection for Python Agentic Software Issue Resolution with Large Language Models: A Survey

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-08-07T01:32:40.015165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T21:07:10.225387Z digest=sha256:0708afe0be2fbf10d7edc74127c10ac1609560974da1042274cc1bb78e8361f3

Observation 9eb7735c-b1a5-4d54-b97e-eab974877e2b · inbound

Beyond Textual Repository Exploration: Dual-Modal Structural Reasoning for Agentic Issue Resolution cites this paper.

Beyond Textual Repository Exploration: Dual-Modal Structural Reasoning for Agentic Issue Resolution Agentic Software Issue Resolution with Large Language Models: A Survey

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-08-07T01:32:40.015165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-03T09:04:47.717504Z digest=sha256:aec736b79380fea1fd09b172ba63735ce3af873ddf22b5d13d29207387f1cb37

Observation 7666ae74-16dc-4519-bf70-4dc0263c2be2 · inbound

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks cites this paper.

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks Agentic Software Issue Resolution with Large Language Models: A Survey

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T00:24:28.280124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:24:28.280124Z digest=sha256:bb76b7519488a5c88443916a9e62337ae4830a7e2262b5a21415543eaf189bd0

Observation 02de1283-2d4f-4b0e-b5f0-c5861a17db2e · inbound

Refine After Generation: Toward Correct and Concise Patches in LLM-based Program Repair cites this paper.

Refine After Generation: Toward Correct and Concise Patches in LLM-based Program Repair Agentic Software Issue Resolution with Large Language Models: A Survey

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-14T14:32:16.438271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:32:16.438271Z digest=sha256:d53bc93ce8b316c8b2a919425298d6a0b8b819e51d29688f27151f35bddd6697