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Paper Citation Record · LEDGER

AutoCodeRover: Autonomous Program Improvement

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 inbound Pith citation observations for arXiv:2404.05427.

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

pith.paper-citation-record.v1
2404.05427 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:01:28.149694Z

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

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  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
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 4fef418e-9dd9-47bd-91e1-229e02e5fed6 · inbound

Agentless: Demystifying LLM-based Software Engineering Agents cites this paper.

Agentless: Demystifying LLM-based Software Engineering Agents AutoCodeRover: Autonomous Program Improvement

Reference 114

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arxiv_id, observed 2026-05-12T05:12:22.540958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T05:12:22.013365Z digest=sha256:cae6bde564afe91c0317e7f111184b3ce16a50fea5cd603889753b855e1cfae5

Observation 52ade589-ecb0-4e0a-8f4b-9fb84951d706 · inbound

MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering cites this paper.

MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering AutoCodeRover: Autonomous Program Improvement

Reference 31

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arxiv_id, observed 2026-05-23T19:13:21.530857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-23T19:11:20.600633Z digest=sha256:e64e22ef02706362d04fb20c8404b1508495be849efb8b8c775308b1ee230dee

Observation 552dfd8c-f71b-4623-adae-564d7884f8fc · inbound

COFFE: A Code Efficiency Benchmark for Code Generation cites this paper.

COFFE: A Code Efficiency Benchmark for Code Generation AutoCodeRover: Autonomous Program Improvement

Reference 92

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no resolver link, observed 2026-08-09T11:01:28.149694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:01:28.149694Z digest=sha256:a179a5db3ab92ec8fe041c7914146bd07c13d989ab0560dc0e6abe26e9e1caf8

Observation 9c982f29-c68b-48bf-9239-1db59ff1bcfc · inbound

Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews cites this paper.

Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews AutoCodeRover: Autonomous Program Improvement

Reference 78

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unresolved
no resolver link, observed 2026-08-08T19:24:00.128574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:24:00.128574Z digest=sha256:85fc52120da324c23579c0705e5a5cc5329379812bbd9e72a52a5abf52c5a73d

Observation cceda816-7ed8-4369-bf58-fc22e73f5592 · inbound

CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories cites this paper.

CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories AutoCodeRover: Autonomous Program Improvement

Reference 53

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unresolved
no resolver link, observed 2026-08-08T16:46:04.064358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:46:04.064358Z digest=sha256:beac8ed8caaffd6d51d6c8193b0073c0491008940512adc4fc2ac993d648e620

Observation 3317a20a-94a4-4382-831f-daf3ddcdeb02 · inbound

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution cites this paper.

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution AutoCodeRover: Autonomous Program Improvement

Reference 66

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verified exact
arxiv_id, observed 2026-05-15T10:27:56.379368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T10:27:56.185943Z digest=sha256:b0f6eaddc88582f685503778e3e9c73e1147f7f2506efe9ff226d4802d19e0d0

Observation 9a6060e5-6a6e-408e-907e-e7fa654e7648 · inbound

CoRet: Improved Retriever for Code Editing cites this paper.

CoRet: Improved Retriever for Code Editing AutoCodeRover: Autonomous Program Improvement

Reference 61

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unresolved
no resolver link, observed 2026-08-07T12:35:35.568174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:35.568174Z digest=sha256:4c619cc432e91dd225de7125023e5beb75d067cbbe20f405b63cdcde429c0dd7

Observation 7964a8c8-ede4-4ad4-ab9c-87f237fd48d2 · inbound

Repeton: Structured Bug Repair with ReAct-Guided Patch-and-Test Cycles cites this paper.

Repeton: Structured Bug Repair with ReAct-Guided Patch-and-Test Cycles AutoCodeRover: Autonomous Program Improvement

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:59.611156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:20:59.611156Z digest=sha256:ba4f12c7b356509386d59f1bf77a6f778487b06a0e04d6f845012ef5afd52fd1

Observation dde2daf4-e1c7-48f9-8613-07d4631bae82 · 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 AutoCodeRover: Autonomous Program Improvement

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:18.144422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:18.144422Z digest=sha256:7bd02661c70a2445b7b34364234f1e17dccfb0a5d2cd80c86c3409b43cde069c

Observation 045d7d02-1f9b-4115-9f2d-ce34e1089296 · inbound

Can Language Models Go Beyond Coding? Assessing the Capability of Language Models to Build Real-World Systems cites this paper.

Can Language Models Go Beyond Coding? Assessing the Capability of Language Models to Build Real-World Systems AutoCodeRover: Autonomous Program Improvement

Reference 70

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arxiv_id, observed 2026-05-18T02:05:39.215311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T02:02:24.259455Z digest=sha256:8dcb49b9f0c1ff5d1f3bc889ea7970ad7c8decb69596e62bd63c82b2742c1a28

Observation 5630bfc1-f04b-43ac-8871-a38b5fa9595c · inbound

Process-Centric Analysis of Agentic Software Systems cites this paper.

Process-Centric Analysis of Agentic Software Systems AutoCodeRover: Autonomous Program Improvement

Reference 57

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verified exact
arxiv_id, observed 2026-05-17T03:18:57.276980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T03:14:15.095330Z digest=sha256:d52923df35bebce7e2e0fdbf58c1c79e77e7408ccdc22210067448e12e13bacc

Observation 4547b3a2-628a-47c1-9c05-d91ec0272ef4 · inbound

Detection Time Distribution Predicted Using Absorbing Boundary Conditions and Imaginary Potentials cites this paper.

Detection Time Distribution Predicted Using Absorbing Boundary Conditions and Imaginary Potentials AutoCodeRover: Autonomous Program Improvement

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-13T20:28:38.179448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T20:28:38.179448Z digest=sha256:6ed7c4732f1734739a0b6ee0514075b41bcb3a81e35b77ef3120ed5a8213da3c

Observation d60f2671-1781-4773-80d8-90bb21c81e65 · inbound

Dynamic analysis enhances issue resolution cites this paper.

Dynamic analysis enhances issue resolution AutoCodeRover: Autonomous Program Improvement

Reference 27

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verified exact
arxiv_id, observed 2026-05-15T00:48:24.892212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T00:45:55.460545Z digest=sha256:14ba4d8a6be0a5c8a38071b9d91ad68bf39769a00d1b12e146ceef0668097892

Observation ccfa88f6-848f-4bb4-80bb-836b04c1d3d5 · inbound

ABTest: Behavior-Driven Testing for AI Coding Agents cites this paper.

ABTest: Behavior-Driven Testing for AI Coding Agents AutoCodeRover: Autonomous Program Improvement

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T18:38:07.178441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T18:36:09.056578Z digest=sha256:9f59e790938af488b52c6d9f7e3acaaafe7804d3dba69f67f7480280467d1c2f

Observation c21d9ffb-b4c5-4675-b397-bda98d98d400 · 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 AutoCodeRover: Autonomous Program Improvement

Reference 93

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verified exact
arxiv_id, observed 2026-05-10T23:05:49.674989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T19:20:22.353790Z digest=sha256:78953ae9dca8be955fe22ee18d48b6984a85485abe587b9b963451b6d3af816d

Observation f1cdb53a-de13-4428-97a5-dcb17c5f2f6e · inbound

SkillLens: Adaptive Multi-Granularity Skill Reuse for Cost-Efficient LLM Agents cites this paper.

SkillLens: Adaptive Multi-Granularity Skill Reuse for Cost-Efficient LLM Agents AutoCodeRover: Autonomous Program Improvement

Reference 33

Resolution
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arxiv_id, observed 2026-05-12T08:21:25.473819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T01:12:52.837729Z digest=sha256:cac01c71278d6b4e9f1f33b23ffa5ea0796a63c0114675c1587f02ebfd79bbdc

Observation f4bbb1d1-c245-4c40-85f6-1f899ec81edc · inbound

BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models cites this paper.

BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models AutoCodeRover: Autonomous Program Improvement

Reference 111

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verified exact
arxiv_id, observed 2026-05-12T03:11:18.955679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T03:09:40.321500Z digest=sha256:d620717a919243485a5603ca6b6a6c11234b6423cb4c7840479c7a6e21fe968d

Observation 583a99b4-3c6c-4db4-abb5-ca62ad09616b · inbound

BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models cites this paper.

BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models AutoCodeRover: Autonomous Program Improvement

Reference 125

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verified exact
arxiv_id, observed 2026-05-13T06:07:22.370968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-13T06:03:32.270553Z digest=sha256:11b2a61230430ee96586e91b9334769b2e3218983c869bc9d1c28969f92545a6

Observation 0095ac5e-b74a-4de0-991e-eb04d589beb7 · inbound

AI Harness Engineering: A Runtime Substrate for Foundation-Model Software Agents cites this paper.

AI Harness Engineering: A Runtime Substrate for Foundation-Model Software Agents AutoCodeRover: Autonomous Program Improvement

Reference 7

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arxiv_id, observed 2026-05-14T18:17:35.214877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T18:14:21.725424Z digest=sha256:9f7aee30f8408e6345ca8578eeec698f31e14437f4fde8bf12b1135185f4a5c3

Observation f6f1d325-c05a-4f72-8cf3-0994edaa76d7 · inbound

Coding Agent Is Good As World Simulator cites this paper.

Coding Agent Is Good As World Simulator AutoCodeRover: Autonomous Program Improvement

Reference 34

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verified exact
arxiv_id, observed 2026-05-15T02:23:32.020441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T02:19:49.149075Z digest=sha256:c2315d32546297c8e5aaf6ca760e2305c5a5336352e0b088177575c782e86ad8

Observation b3e3994b-2478-4df7-9f24-7c11b19be844 · inbound

Coding Agent Is Good As World Simulator cites this paper.

Coding Agent Is Good As World Simulator AutoCodeRover: Autonomous Program Improvement

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:35:46.858490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T20:55:16.040505Z digest=sha256:bb29cab0a29a218109d4002247597dc4005caebd37bfe2e1475b6773d40e75da

Observation f2260f54-edb3-4909-b5c3-97a54cdd531c · inbound

From Runnable to Shippable: Multi-Agent Test-Driven Development for Generating Full-Stack Web Applications from Requirements cites this paper.

From Runnable to Shippable: Multi-Agent Test-Driven Development for Generating Full-Stack Web Applications from Requirements AutoCodeRover: Autonomous Program Improvement

Reference 57

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verified exact
arxiv_id, observed 2026-05-19T23:22:52.263267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T23:22:10.879878Z digest=sha256:56a662c2063fc8f0b7302d91f12837d70b740a18e127f983440bb550a3509940

Observation 1affd7d0-0fe0-4649-a53b-367ae0f358ba · inbound

Formal Skill: Programmable Runtime Skills for Efficient and Accurate LLM Agents cites this paper.

Formal Skill: Programmable Runtime Skills for Efficient and Accurate LLM Agents AutoCodeRover: Autonomous Program Improvement

Reference 11

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arxiv_id, observed 2026-05-20T05:53:04.269663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T05:53:02.696245Z digest=sha256:ffca63ad6ae8c8fb54d953dcfe9a330488d2dcd7f95e1188761e0cee6d654f9f

Observation c96a9c89-8a1b-4fe4-a878-ecc07cff72fe · inbound

What makes a harness a harness: necessary and sufficient conditions for an agent harness cites this paper.

What makes a harness a harness: necessary and sufficient conditions for an agent harness AutoCodeRover: Autonomous Program Improvement

Reference 64

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verified exact
arxiv_id, observed 2026-06-27T15:21:00.785013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T15:15:57.372858Z digest=sha256:ffb0c6f3a30f6ce347a8aeae4b14cb63735874d63c625c90b7fd93f07987d757

Observation aed96687-4f79-4f9f-8dd6-5206aa9bd785 · inbound

Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks cites this paper.

Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks AutoCodeRover: Autonomous Program Improvement

Reference 38

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metadata mismatch
arxiv_id, observed 2026-07-03T08:57:47.643652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T10:39:51.630229Z digest=sha256:e7167714c182d2d9c5932e8f6052280150f1504d7e4892cdab64a2c6a4c6122c

Observation 2f06956e-70e2-47eb-a43d-1fb8ebea7db9 · inbound

LLM Agents Can See Code Repositories cites this paper.

LLM Agents Can See Code Repositories AutoCodeRover: Autonomous Program Improvement

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-06-27T05:30:36.109096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T05:22:45.210932Z digest=sha256:3c56d6f1fa6595b2b127ef025073b1bd0844c22323b9619d3ead6f66dfbcc899

Observation 6323c079-3b60-49fb-80dc-18e9ef1d1492 · inbound

LLM Agents Can See Code Repositories cites this paper.

LLM Agents Can See Code Repositories AutoCodeRover: Autonomous Program Improvement

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T04:46:26.197535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:46:26.197535Z digest=sha256:f11e9d136cfa859b88373977e2def7ed165c8ec4dbde53fb72e463075c3c397f

Observation 8e91290b-439e-49e9-b9d5-6cde77f7b932 · inbound

Dissecting model behavior through agent trajectories cites this paper.

Dissecting model behavior through agent trajectories AutoCodeRover: Autonomous Program Improvement

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:18:56.830935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T01:27:39.812496Z digest=sha256:dbbe231a21d96409cd65121f947391bc91e15e97cfa59ddf713a1a4514268ae6

Observation 373b5346-ed83-4984-a87e-c970ecb1268a · inbound

Code Isn't Memory: A Structural Codebase Index Inside a Coding Agent cites this paper.

Code Isn't Memory: A Structural Codebase Index Inside a Coding Agent AutoCodeRover: Autonomous Program Improvement

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:49:41.771010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T10:59:52.756992Z digest=sha256:5bcf2dd00c7ba08670ee29174ebed820cf9628e2886a00dd6fca3e3bcbbdee15

Observation 7a6e7068-c707-4577-8959-2226029a4e53 · inbound

Sol Video Inference Engine: Agent-Native Full-Stack Acceleration Framework for Efficient Video Generation cites this paper.

Sol Video Inference Engine: Agent-Native Full-Stack Acceleration Framework for Efficient Video Generation AutoCodeRover: Autonomous Program Improvement

Reference 42

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verified exact
arxiv_id, observed 2026-07-04T08:49:41.541289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T11:05:44.972128Z digest=sha256:ccadec3d69280b585141c6ab5774e9f7ccdd8a88fb41923d2b28644ea0e3a9bc

Observation 75ea845f-b649-4efb-b488-27fd60996960 · inbound

ClarifyCodeBench: Evaluating LLMs on Clarifying Ambiguous Requirements for Code Generation cites this paper.

ClarifyCodeBench: Evaluating LLMs on Clarifying Ambiguous Requirements for Code Generation AutoCodeRover: Autonomous Program Improvement

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:46:48.646422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-02T08:39:01.987915Z digest=sha256:2b41567cd7adf7b0f690b6b6320a5c0d5b31d451ebee770d774d08dc5d70d71c

Observation 2f7a8827-2829-4608-8fb2-590c760b6dfc · inbound

ContextSniper: AntTrail's Token-Efficient Code Memory for Repository-Level Program Repair cites this paper.

ContextSniper: AntTrail's Token-Efficient Code Memory for Repository-Level Program Repair AutoCodeRover: Autonomous Program Improvement

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:18:22.577628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-03T14:09:32.980488Z digest=sha256:4e940397ab7aa09b4d2cecaafecbf718cff358791e3315a8fc6249525cfacfcf

Observation 24806b15-0604-4567-9bfb-d3c84024f76a · inbound

ContextSniper: AntTrail's Token-Efficient Code Memory for Repository-Level Program Repair cites this paper.

ContextSniper: AntTrail's Token-Efficient Code Memory for Repository-Level Program Repair AutoCodeRover: Autonomous Program Improvement

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-12T08:32:14.868469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T08:32:14.868469Z digest=sha256:2da69d22ef9e371170efd1f34f11308e9858fbc5e56d8a03867597b37c9b7907

Observation 732b30f8-c69b-45f4-b1f3-72e0e9dbcd2d · inbound

Don't Blame the Large Language Model: How Agent Harness Evolution Shapes Coding Agent Quality cites this paper.

Don't Blame the Large Language Model: How Agent Harness Evolution Shapes Coding Agent Quality AutoCodeRover: Autonomous Program Improvement

Reference 60

Resolution
unresolved
no resolver link, observed 2026-07-12T00:39:29.272338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T00:39:29.272338Z digest=sha256:5d919cbcbdbe97e254158044e3e0a069191044d46e3c13930817d8188eb02919

Observation 78068652-9dce-4cda-ae15-9d86bdf18a40 · inbound

Don't Blame the Large Language Model: How Agent Harness Evolution Shapes Coding Agent Quality cites this paper.

Don't Blame the Large Language Model: How Agent Harness Evolution Shapes Coding Agent Quality AutoCodeRover: Autonomous Program Improvement

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-02T08:50:20.804871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:50:20.804871Z digest=sha256:e68fe6169de15045bc3220d466a55e93a92a1f59095cffb9258b3eafcded2a7f

Observation 407159c0-5e2a-42f2-8751-a7394e45bf63 · inbound

When Does Restricting a Coding Agent to execute_code Help? A Regime $\times$ Agent-Design Ablation cites this paper.

When Does Restricting a Coding Agent to execute_code Help? A Regime $\times$ Agent-Design Ablation AutoCodeRover: Autonomous Program Improvement

Reference 48

Resolution
unresolved
no resolver link, observed 2026-07-14T10:46:01.272433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:46:01.272433Z digest=sha256:530ac7c4dbe54e5859b7d657502d11c9cda139e2c0dffae8eccfa33cef713c61

Observation 7f0178e9-a64b-4d63-8d17-8cd5077e1a17 · inbound

Semantic Drift in Bug Resolution: How Behavioral Signals Propagate from Reports to Tests and Patches cites this paper.

Semantic Drift in Bug Resolution: How Behavioral Signals Propagate from Reports to Tests and Patches AutoCodeRover: Autonomous Program Improvement

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-01T15:06:55.071292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:06:55.071292Z digest=sha256:305c3bca4efece8c4a6b3d0c7b824365626a79ae6708c501457d468008c1bb4c

Observation 26ba8133-3c24-4354-b21c-6e02e332884c · inbound

Agent Team Work Zone: An Automated, Persistent Workspace for Long-Lived Claude Code Agent Teams cites this paper.

Agent Team Work Zone: An Automated, Persistent Workspace for Long-Lived Claude Code Agent Teams AutoCodeRover: Autonomous Program Improvement

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-01T04:12:04.499501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:12:04.499501Z digest=sha256:5d1eddb2fb72abf97a14183ded107e7b5612a4e3bf17b8638b6c5037f6506e92

Observation 8181f587-d75e-43fb-8290-8816d31433b5 · inbound

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization cites this paper.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization AutoCodeRover: Autonomous Program Improvement

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-01T04:26:47.466869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:26:47.466869Z digest=sha256:3e6f6b831063ee28ed646a4b136fac610d2e5a112e6845e1e353a5b9eccbca9f

Observation 179701a2-f701-41e3-b0ab-167f5907ac1e · inbound

Preventing Premature Commitment in Coding Agents with an Evidence-Conditioned Execution Layer cites this paper.

Preventing Premature Commitment in Coding Agents with an Evidence-Conditioned Execution Layer AutoCodeRover: Autonomous Program Improvement

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-03T00:22:56.362544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:22:56.362544Z digest=sha256:38b7a7c8c6f4a137106ccd0d4c46a66f7bfbc10f1db7704f13981bf03868ab04

Observation e0afaf07-405a-4e87-bdac-151d3b2c3886 · inbound

Shared Organizational Memory for Enterprise Coding Agents: System Design and Deployment Snapshot cites this paper.

Shared Organizational Memory for Enterprise Coding Agents: System Design and Deployment Snapshot AutoCodeRover: Autonomous Program Improvement

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-04T01:19:22.524832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:19:22.524832Z digest=sha256:77180fbf4addaad594a151fb6540f722a78ada4e277fef5c733b35fc6d6828ce

Observation a5ca1ed7-72fd-4e7f-a916-88623fe6d8a4 · inbound

LoopsBench: From Harness Engineering to Loop Engineering in Benchmarking Coding Agent cites this paper.

LoopsBench: From Harness Engineering to Loop Engineering in Benchmarking Coding Agent AutoCodeRover: Autonomous Program Improvement

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-04T00:55:48.834281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:55:48.834281Z digest=sha256:4186e8380fe7c67deb6ceee76e3114990b4f243c262c823b3cff8f437151200c

Observation 23358e38-38b8-4888-9a05-e50854fee7a1 · inbound

Self-Evolving Coding Agents cites this paper.

Self-Evolving Coding Agents AutoCodeRover: Autonomous Program Improvement

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T19:47:58.762732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:47:58.762732Z digest=sha256:373f67b386e6ba0500af195fceed31c398bcca333321250f1ceda5fbe5e46ed0

Observation 1fa72d96-2e61-47d0-ab79-0add23646546 · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details AutoCodeRover: Autonomous Program Improvement

Reference 141

Resolution
unresolved
no resolver link, observed 2026-08-05T15:25:39.937881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:25:39.937881Z digest=sha256:640b9291d80d4e20b1c1278ed525aeaeba269ec4edf181ee74f83998f76a034a