Paper Citation Record · LEDGER

Agentic Software Issue Resolution with Large Language Models: A Survey

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:32:16.438271Z

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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.