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Paper Citation Record · LEDGER

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents

As of 21 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.29658.

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

pith.paper-citation-record.v1
2607.29658 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T02:29:39.697273Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 30a497f8-4d4b-47fc-8819-19986eaf6829 · outbound

This paper cites Characteristics of applications software maintenance,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Characteristics of applications software maintenance,

Reference 1

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doi, observed 2026-08-03T02:33:36.543854Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-03T02:29:36.445047Z digest=sha256:2d631617adc44e62e793cd7c24367ff3b16f82792f2d443748551314a37ef6a0

Observation 811b8858-b5cc-4738-856e-5297fef9b507 · outbound

This paper cites An empirical study on real bug fixes,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents An empirical study on real bug fixes,

Reference 3

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-03T02:29:36.553079Z digest=sha256:8fbe5240da691315bace3976ed5529cd2b51518d33a316fddf7c4cf66e0cad35

Observation 3df680ef-d4ce-479b-ac7d-338b81197d4d · outbound

This paper cites Stratified case-based reasoning in non-refinable abstraction hierarchies,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Stratified case-based reasoning in non-refinable abstraction hierarchies,

Reference 4

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source=pdf_text observed=2026-08-03T02:29:36.657331Z digest=sha256:b5713ad94a2aa77a5743ef45ff7c4c1103b990cc09981b71f5e2af20d82b8339

Observation df052f77-529f-41ba-977b-fc9ade069cb2 · outbound

This paper cites Case-based reasoning: Foundational issues, methodological variations, and system approaches,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Case-based reasoning: Foundational issues, methodological variations, and system approaches,

Reference 5

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source=pdf_text observed=2026-08-03T02:29:36.840337Z digest=sha256:788eea4615d53ac359236ef62cfc04b7c7dfe88ddabc04bb49635acff43e99dc

Observation 9773d48a-0d2b-446a-8bbf-080051192de8 · outbound

This paper cites Swe-agent: Agent-computer interfaces enable automated software engineering,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Swe-agent: Agent-computer interfaces enable automated software engineering,

Reference 6

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source=pdf_text observed=2026-08-03T02:29:36.921367Z digest=sha256:66bdf388ca3028f3135a2239a6ee050339889fbfeee6838adadbd243686520a0

Observation 66e31bd1-3374-4536-ad91-5c6bc625c6ea · outbound

This paper cites Autocoderover: Autonomous program improvement,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Autocoderover: Autonomous program improvement,

Reference 7

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source=pdf_text observed=2026-08-03T02:29:37.025162Z digest=sha256:7006e9f09dc99846274ebb8d4887d044a541cfda0201494a7d0523b238fcd6d9

Observation 64a7abe0-76bf-4ff1-91f6-01ddcd30e1c7 · outbound

This paper cites Live-swe-agent: Can software engineering agents self-evolve on the fly?.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Live-swe-agent: Can software engineering agents self-evolve on the fly?

Reference 8

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source=pdf_text observed=2026-08-03T02:29:37.112529Z digest=sha256:82d6a7b1903b55143daab6e273e82fafc5f2ee6e043c9455324bc85dddcbc533

Observation 59376271-a661-4b0b-a637-48955a009038 · outbound

This paper cites Introducing sonar foundation agent,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Introducing sonar foundation agent,

Reference 9

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source=pdf_text observed=2026-08-03T02:29:37.194827Z digest=sha256:23ff6b6bf9d3558b1ca5816cf1146c63824169994f139d7ad33339d12816be4e

Observation 939d2004-fd6a-47b3-bac4-fa31657528e8 · outbound

This paper cites Swe-exp: Experience-driven software issue resolution,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Swe-exp: Experience-driven software issue resolution,

Reference 10

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source=pdf_text observed=2026-08-03T02:29:37.303812Z digest=sha256:eeb4a6dce28de45b4b4bc3276cb21ddd20632586842c43aa9a80d8418135b0db

Observation b762edac-9a17-4d08-b85a-40b5a34f818d · outbound

This paper cites Lingxi: Repository-level issue resolution framework enhanced by procedural knowledge guided scaling,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Lingxi: Repository-level issue resolution framework enhanced by procedural knowledge guided scaling,

Reference 11

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source=pdf_text observed=2026-08-03T02:29:37.387093Z digest=sha256:3770abff4aba465e4f02883940feaa5873fc60a86f68785858ece5cb9687db13

Observation 82f77e21-b977-4538-904e-7a92a4c18290 · outbound

This paper cites EXPEREPAIR: Dual-Memory Enhanced LLM-based Repository-Level Program Repair.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents EXPEREPAIR: Dual-Memory Enhanced LLM-based Repository-Level Program Repair

Reference 12

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source=pdf_text observed=2026-08-03T02:29:37.587520Z digest=sha256:600f2f0b8131f947ffdc41d586d2b4204db1c7075842e8e28ad3361d724dbe63

Observation cbc295d8-7a28-4079-a11f-98abceee11be · outbound

This paper cites Planning in a hierarchy of abstraction spaces,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Planning in a hierarchy of abstraction spaces,

Reference 13

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doi, observed 2026-08-03T02:33:36.039140Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-03T02:29:37.681117Z digest=sha256:bd6cb5882496d6910d8fe872cee49775904dd9abab0067eb3a793312a595fdcc

Observation 00ae0410-9807-4b13-9fef-7c6c737c162f · outbound

This paper cites SWE-bench: Can language models resolve real- world github issues?.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents SWE-bench: Can language models resolve real- world github issues?

Reference 14

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source=pdf_text observed=2026-08-03T02:29:37.778123Z digest=sha256:36de71bf75b24f103afceacfe7d8a6a5c262d1a520bd10ffb6f36ecdc03fa8e5

Observation 6cf0f1e8-0fd3-4c5b-b4a1-469d9735fe95 · outbound

This paper cites Demystifying llm-based software engineering agents,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Demystifying llm-based software engineering agents,

Reference 15

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source=pdf_text observed=2026-08-03T02:29:37.864415Z digest=sha256:f1c78314b6ae3ad33e1305e16f036e604f350053ad68426ebe1229a8661da100

Observation ea059251-7ba3-481d-8408-8022dae9121e · outbound

This paper cites Openhands: An open platform for AI software developers as generalist agents,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Openhands: An open platform for AI software developers as generalist agents,

Reference 16

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source=pdf_text observed=2026-08-03T02:29:37.951836Z digest=sha256:ce4d2f91eafbe326b74a2caa4204fc9da1ec216b5c6c10fc4549e3b8760faa60

Observation 68c2765a-798e-435c-b9f9-57d499867435 · outbound

This paper cites Prometheus: Towards long-horizon codebase navigation for repository-level problem solving,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Prometheus: Towards long-horizon codebase navigation for repository-level problem solving,

Reference 17

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source=pdf_text observed=2026-08-03T02:29:38.047478Z digest=sha256:f5e7f605ed20896b55cc8b2ea200a01b9dd998705dd12ed45e33d095bfcd78b3

Observation d38a749f-16b9-4d3b-89f0-2e651fb6b4c5 · outbound

This paper cites Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling

Reference 18

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source=pdf_text observed=2026-08-03T02:29:38.203799Z digest=sha256:44b668b52f2e849e88cc00df258155314f49b3061a39f42b4f977d617a94479b

Observation d2244843-b3f2-4261-8982-ca5a90d7cd30 · outbound

This paper cites Expel: LLM agents are experiential learners,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Expel: LLM agents are experiential learners,

Reference 19

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source=pdf_text observed=2026-08-03T02:29:38.267878Z digest=sha256:149beab853c871779ae67d315a62469f38e0ac57893ad14953db34380164d414

Observation 05a9839f-8771-4006-9ce9-21aa25e845c4 · outbound

This paper cites Available: https://arxiv.org/abs/2507.19942.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Available: https://arxiv.org/abs/2507.19942

Reference 20

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source=pdf_text observed=2026-08-03T02:29:38.131549Z digest=sha256:9d982817923663046f97896718d450cd6c792e39a0c3f5d07a47fb9288b33bdb

Observation 8214b1ee-f3db-415e-af89-e195d2de9b9c · outbound

This paper cites Autoguide: Automated generation and selection of context-aware guidelines for large language model agents,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Autoguide: Automated generation and selection of context-aware guidelines for large language model agents,

Reference 21

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source=pdf_text observed=2026-08-03T02:29:38.468788Z digest=sha256:409c7f79a6febd20c7e8e100865f630e14bb2c1d20338573cd2414662534f7dd

Observation 2aed3ddf-42d8-4019-803c-5b2dccbbe6d0 · outbound

This paper cites Agent workflow memory,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Agent workflow memory,

Reference 22

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source=pdf_text observed=2026-08-03T02:29:38.623881Z digest=sha256:7c0aceb76d353a0a378bc84bca3c5157e827dc44ac326ab485255eee60d574d0

Observation 8de0cc27-9bbf-483d-9f59-b5b6d7b0240c · outbound

This paper cites Reflexion: language agents with verbal reinforcement learning,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Reflexion: language agents with verbal reinforcement learning,

Reference 23

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source=pdf_text observed=2026-08-03T02:29:38.318539Z digest=sha256:0df0bbacd237cb6b167d2089bc2fa73392a036c375e65f63c933c3a2351880c3

Observation ff5ae78a-010f-46ae-a1f8-ee6265f70fc0 · outbound

This paper cites Se-agent: Self-evolution trajectory optimization in multi-step reasoning with llm- based agents,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Se-agent: Self-evolution trajectory optimization in multi-step reasoning with llm- based agents,

Reference 24

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source=pdf_text observed=2026-08-03T02:29:38.769262Z digest=sha256:1278acffcabd837c01b88186598e749cde8e547e2dea05d1161c97b8540747e4

Observation e5e82c54-e90f-4bbb-af3c-ae5676ef1ce8 · outbound

This paper cites When agents go astray: Course-correcting SWE agents with prms,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents When agents go astray: Course-correcting SWE agents with prms,

Reference 25

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source=pdf_text observed=2026-08-03T02:29:38.833206Z digest=sha256:9fb85735dc0c4d249067fdd2616f22e2e076d40e6ea3115b0e3e925a79f90cf4

Observation d3b350c0-0cd3-40f5-a6a7-f743e88e7a50 · outbound

This paper cites On the role of abstraction in case-based reasoning,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents On the role of abstraction in case-based reasoning,

Reference 26

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-03T02:29:38.887093Z digest=sha256:c53c6dded1f1e818ce9379fc91d9849c779203d817ae16c7f2a215e8b080d464

Observation 319d4fe3-0306-4fef-ae95-d58c8e1330e6 · outbound

This paper cites A critical review on the evaluation of automated program repair systems,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents A critical review on the evaluation of automated program repair systems,

Reference 27

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Observation ed0e8977-402a-4a54-b7b1-d3a99a1c1877 · outbound

This paper cites Self-abstraction from grounded experience for plan-guided policy refinement,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Self-abstraction from grounded experience for plan-guided policy refinement,

Reference 28

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Observation c096ae6c-db13-4914-bd14-40d500b31b9b · outbound

This paper cites OpenAI GPT-5 System Card.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents OpenAI GPT-5 System Card

Reference 29

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Observation e9e7090f-401f-464a-8f1e-825f78a44e32 · outbound

This paper cites Minimax m2.5,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Minimax m2.5,

Reference 30

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source=pdf_text observed=2026-08-03T02:29:39.330793Z digest=sha256:79ef4e407b891fbf79b91e50195765ab8f2e07ea3082741e7f2390465cf67599

Observation baba811d-0ad3-4c63-81cd-757a296433d7 · outbound

This paper cites Langgraph,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Langgraph,

Reference 31

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source=pdf_text observed=2026-08-03T02:29:39.411274Z digest=sha256:d706063c62d341eae910e3d2cc30f559ea3cb732872e28985c0a3697140ee327

Observation 4a79b4ff-f835-4f92-b586-0cd8fc9c33b5 · outbound

This paper cites A coefficient of agreement for nominal scales,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents A coefficient of agreement for nominal scales,

Reference 32

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source=pdf_text observed=2026-08-03T02:29:39.489353Z digest=sha256:9c12ded137290716a56d41f56f25bb3490e1ea75cb7bb9988eb02f7f1e0290b1

Observation 26aac629-477a-4d35-b742-486f10984f41 · outbound

This paper cites Automated program repair,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Automated program repair,

Reference 33

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source=pdf_text observed=2026-08-03T02:29:39.075974Z digest=sha256:33d03701268c4f04d1b08b2e83442751d0e489aaf734ed72e2bfa71f5202a7b5

Observation 1e386b57-1686-4436-a813-86077c882858 · outbound

This paper cites Is the cure worse than the disease? overfitting in automated program repair,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Is the cure worse than the disease? overfitting in automated program repair,

Reference 34

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source=pdf_text observed=2026-08-03T02:29:39.619605Z digest=sha256:6dbabd66b985195c92be8c48f1a8ace959eeb4547b5d12b4b409a5f9063e358d

Observation 51613736-f6e4-4c4f-a2ea-f3f2f49a4592 · outbound

This paper cites Overfitting in semantics-based automated program repair,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Overfitting in semantics-based automated program repair,

Reference 35

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Observation e5291bce-8d73-4a48-89c4-06d36904cc03 · outbound

This paper cites The strength of random search on automated program repair,.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents The strength of random search on automated program repair,

Reference 39

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source=pdf_text observed=2026-08-03T02:29:39.544915Z digest=sha256:c548ee7f57bac247dd38231093e2a0b7ce7dd4640ddfc43fe6bc0f46c69e235a

Observation 66e8f967-ecde-4c69-95c6-05ab8ed05fc6 · outbound

This paper cites an unresolved cited work.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Unresolved cited work

Reference 1266

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doi, observed 2026-08-03T02:33:36.223665Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-03T02:29:36.763229Z digest=sha256:bf21bceb6f64cd2d4b5d54839db36aef1e3cceb59d1a8b31591f143493e228ef

Observation 928af614-f20e-4689-a783-af3bad496117 · outbound

This paper cites Available: http://papers.nips.cc/paper files/paper/2023/ hash/1b44b878bb782e6954cd888628510e90-Abstract-Conference.html.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Available: http://papers.nips.cc/paper files/paper/2023/ hash/1b44b878bb782e6954cd888628510e90-Abstract-Conference.html

Reference 2023

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites Available: http://papers.nips.cc/paper files/paper/2024/ hash/d8efbb5dd415974eb095c3f06bff1f48-Abstract-Conference.html.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Available: http://papers.nips.cc/paper files/paper/2024/ hash/d8efbb5dd415974eb095c3f06bff1f48-Abstract-Conference.html

Reference 2024

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Observation e4fdae03-f097-4e1e-9bff-c187e040829f · outbound

This paper cites Available: https://doi.org/10.48550/arXiv.2510.11838.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents Available: https://doi.org/10.48550/arXiv.2510.11838

Reference 2025

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Observation 64f20590-5d8d-46a1-9f81-3a6e53e8d14d · outbound

This paper cites OpenAI GPT-5 System Card.

Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents OpenAI GPT-5 System Card

Reference 2026

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Pith citing papers

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