Pith. sign in

Paper Citation Record · LEDGER

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization

As of 10 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2607.18161.

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

pith.paper-citation-record.v1
2607.18161 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:54:18.619486Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

37 of 37 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved36
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a11824d2-b49e-4e6a-bf71-73afcc65ab2f · outbound

This paper cites (2026) Claude Code by Anthropic — AI Coding Agent, Terminal, IDE.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization (2026) Claude Code by Anthropic — AI Coding Agent, Terminal, IDE

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:15.108570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:15.108570Z digest=sha256:e71622dd3d1e5529711b32dc5eda4b3b785ef75c2e9e59486e975d0d5b36f8b4

Observation b1ea9d73-6a7b-40b7-a041-f3b302542bd8 · outbound

This paper cites (2026) Claude Code by Anthropic — AI Coding Agent, Terminal, IDE.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization (2026) Claude Code by Anthropic — AI Coding Agent, Terminal, IDE

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:15.249787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:15.249787Z digest=sha256:1283e6edefc0d926e2e2687c9906e889e3d1171b3235451574c4bf0425e0e468

Observation 6d8c344f-bce4-42ae-8480-461736d6c02c · outbound

This paper cites (2026) Cursor: The best coding agent.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization (2026) Cursor: The best coding agent

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:15.377742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:15.377742Z digest=sha256:e3f8f7f60af5b406090a749cac17803ddf09e3535102319963fc6f9e8c3bf530

Observation 1584cacc-7641-41a1-8a48-038ac28d1ab3 · outbound

This paper cites Agentic ai software engineers: Programming with trust,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Agentic ai software engineers: Programming with trust,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:15.523099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:15.523099Z digest=sha256:ffe855d6e01c6bb0c5f5b579f53e84f01d22fd6ee05f7a0ca5c6882343cf1c93

Observation abaf6c6a-f394-4d22-a7da-32f90062a6c8 · outbound

This paper cites Understanding software engineering agents through the lens of traceability: An empirical study,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Understanding software engineering agents through the lens of traceability: An empirical study,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:15.571643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:15.571643Z digest=sha256:395d25eb993e5bb0c1e681a7c747186462f4ee4fa51c6b0001fac09a0f8c1bda

Observation a513f7e5-764d-4059-90c9-94439ac6c0f0 · outbound

This paper cites Why agentic-prs get rejected: A comparative study of coding agents,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Why agentic-prs get rejected: A comparative study of coding agents,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:15.623939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:15.623939Z digest=sha256:a3c16bd23295d9789cb3280d2b2e6fdff59c877d61475c1b498db41155bafee7

Observation 1d3c03a7-4303-402e-a091-2c209cdfaab5 · outbound

This paper cites Novice developers produce larger review overhead for project maintainers while vibe cod- ing,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Novice developers produce larger review overhead for project maintainers while vibe cod- ing,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:15.676679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:15.676679Z digest=sha256:9f431deee3bb2d3376543158f6eacb05437d8ab145a251f3e1c0856c7826622e

Observation 22193125-6868-4434-9a8c-02ab039d222f · outbound

This paper cites Coherence Collapse: Diagnosing Why Code Agents Fail After Reaching the Right Code.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Coherence Collapse: Diagnosing Why Code Agents Fail After Reaching the Right Code

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:15.739126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:15.739126Z digest=sha256:4286a9980832ffeb6f919dfac88bb78ebd6d87e611af88eb861c4019e00aa180

Observation 7fc00a03-027b-4005-80de-9a85eb3265f1 · outbound

This paper cites Improving the efficiency of llm agent systems through trajectory reduction,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Improving the efficiency of llm agent systems through trajectory reduction,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:15.820893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:15.820893Z digest=sha256:5d0b4419726bf66256c435c5cad8202c93aa9b2cf6877e1abe5593a61d301a99

Observation 08ed811c-1377-4318-85a2-48bb1e470952 · outbound

This paper cites Memory leak in map create,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Memory leak in map create,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:15.885702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:15.885702Z digest=sha256:ed6009a1f1960513029f441e26c417c115fac90566def76c25b5f979d21e579c

Observation 6b0ae733-4893-445e-9ba6-2b145968feae · outbound

This paper cites SWE-agent: Agent- computer interfaces enable automated software engi- neering,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization SWE-agent: Agent- computer interfaces enable automated software engi- neering,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:16.040032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:16.040032Z digest=sha256:2401c75b5af38167a58918a3a29a721c67189a090add33ed77a749488ec2b1a4

Observation 2f1c33c6-5b9a-4d17-ad16-e9010f839aa4 · outbound

This paper cites What to cut? predicting unnecessary methods in agentic code generation,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization What to cut? predicting unnecessary methods in agentic code generation,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:16.101858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:16.101858Z digest=sha256:3b67e8f43fcb84a079d783fd9cbed0f63c7d5aebf4135fa83faefbe3ff018be6

Observation 143cc65d-42ac-4573-861a-04f06a09945a · outbound

This paper cites What is wrong with your code generated by large language models? an extensive study,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization What is wrong with your code generated by large language models? an extensive study,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:16.304881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:16.304881Z digest=sha256:cb55739191fcf946beb498bb13d6bdf90461f1c809d89e791a4a6f1dece19a03

Observation fae6a97d-8276-4ae4-abad-161fe78ea5ac · outbound

This paper cites Speed at the cost of quality: How cursor ai increases short-term velocity and long-term complex- ity in open-source projects,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Speed at the cost of quality: How cursor ai increases short-term velocity and long-term complex- ity in open-source projects,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:16.377382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:16.377382Z digest=sha256:87f735d8ee19266bf909917fcb9a299068602dc8713861446d2559aafd8261af

Observation 0432f48a-f05f-4e7d-9496-69022f17e7b8 · outbound

This paper cites Faster code, deeper debt? a multivocal literature review on technical debt and its early signs in llm-assisted software development,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Faster code, deeper debt? a multivocal literature review on technical debt and its early signs in llm-assisted software development,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:16.489514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:16.489514Z digest=sha256:1af35009597b4b6a25661283c477acff1a44adca646abb979b41654e892ea1c3

Observation 2e8fd858-44ed-4db0-9fcb-4dee6664c9d9 · outbound

This paper cites A taxonomy of inefficiencies in llm-generated python code,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization A taxonomy of inefficiencies in llm-generated python code,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:16.629278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:16.629278Z digest=sha256:75652055f2698d07d659887cfb80385bc460bd852fc3c9fe8c10b093bafd11fd

Observation eddb5007-e7d7-40ac-8258-9009191e3a3a · outbound

This paper cites Yesterday, my program worked. today, it does not. why?.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Yesterday, my program worked. today, it does not. why?

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:16.732370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:16.732370Z digest=sha256:99184a72098805852d70696a97e3102993878e4868ae1e7b336f68792e7b1ffc

Observation 78f9bbcf-283b-4beb-8790-afd738030ad1 · outbound

This paper cites Git bisect,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Git bisect,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:16.777575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:16.777575Z digest=sha256:503d55f031cf46ea2e650d11cb9172a11f2d42e27ee9bb61ece07cb13414189b

Observation 4f96f206-d7c7-4498-83ba-6319dd335b12 · outbound

This paper cites Outrunning LLM Cutoffs: A Live Kernel Crash Resolution Benchmark for All.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Outrunning LLM Cutoffs: A Live Kernel Crash Resolution Benchmark for All

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:16.851991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:16.851991Z digest=sha256:b79437c59e9150e9c26fb30dde9a7c5b93a198fbcc399fc5bc8828079ceacc9b

Observation 18f4066f-1816-4041-8334-a5b34d82bdc7 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:16.943298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:16.943298Z digest=sha256:fdaa9b08006731de9d0241b925d5e4d77bf7f0904ec90a4d09772c6019492e88

Observation 37566b36-b2b4-43e6-86e1-a707907b4b62 · outbound

This paper cites SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:17.049483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:17.049483Z digest=sha256:5d0af730d01a9a293df44c7406eec627e8e261e1239311f6451a2200649e597b

Observation 7b8535d9-6475-4c2d-8bba-44f171b144a6 · outbound

This paper cites Kgym: A platform and dataset to benchmark large language models on linux kernel crash resolution,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Kgym: A platform and dataset to benchmark large language models on linux kernel crash resolution,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:17.107842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:17.107842Z digest=sha256:5db46c2f53b307afb359fd527524eeb8a66eb13ddae93ef7eba579f6b92d2921

Observation 870cd3e5-4842-4544-b80b-02e6496ffae0 · outbound

This paper cites kAgent: An execution-guided crash resolution agent for the Linux kernel.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization kAgent: An execution-guided crash resolution agent for the Linux kernel

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:17.189422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:17.189422Z digest=sha256:d37b6aa39a2d6021650858d905ad940d2e85d08bd23f1cb0308361a255f3f50f

Observation ecb1f33f-778a-4da0-b75b-c75a4183af7e · outbound

This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:17.321036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:17.321036Z digest=sha256:c17a5e4bae4bde27a5c3a7960c1772726a37b947bbe91cacaa18e61140ac81fa

Observation 91394acf-2037-4af7-87fe-bfadbb0bacb2 · outbound

This paper cites Hdd: hierarchical delta debugging,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Hdd: hierarchical delta debugging,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:17.406832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:17.406832Z digest=sha256:074c444887750336cd08d761e6c71e6d925c6f182a8f14a380d2c9daab998dbc

Observation 5565d80c-4758-47f5-896a-8419ca22e57b · outbound

This paper cites Measuring ai.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Measuring ai

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:17.432476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:17.432476Z digest=sha256:215c60320afd52bd29129bc0ebf3fc62b6f132a10ebeb70354b2188a6139be8b

Observation 48802ddf-2f14-4822-a8da-5ae11df51449 · outbound

This paper cites Test-case reduction for c compiler bugs,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Test-case reduction for c compiler bugs,

Reference 28

Resolution
malformed identifier
no resolver link, observed 2026-08-01T15:54:17.494067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:17.494067Z digest=sha256:8aea3b2e881641bdb585aa98ce6198ff5e654746772806b7b6b80961f504a45c

Observation b2bb869f-113c-4bb0-a536-5761bfb0cf4e · outbound

This paper cites Perses: syntax-guided program reduction,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Perses: syntax-guided program reduction,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:17.584762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:17.584762Z digest=sha256:55700789798cb90708b8e263f4bc3c7662464b4807191ee7bd25965556950049

Observation 7d62f9ac-3993-4350-bfea-ea925da09510 · outbound

This paper cites Effective program debloating via reinforcement learning,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Effective program debloating via reinforcement learning,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:17.691129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:17.691129Z digest=sha256:2a4c16daf19a14b3ce52f9161fb9f7b44c603c9a2d5385ce5d160ffa2f544e3d

Observation 348a7102-74d2-418a-82fc-753fcf75aed0 · outbound

This paper cites Cimplifier: automatically debloating containers,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Cimplifier: automatically debloating containers,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:17.802156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:17.802156Z digest=sha256:80b3861e1587d2e41440089a26f3048fd409e3ee74a108f031091126f2f67861

Observation da266bdd-9949-4e74-9e41-f4d08cb0acec · outbound

This paper cites Jred: Program customiza- tion and bloatware mitigation based on static analysis,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Jred: Program customiza- tion and bloatware mitigation based on static analysis,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:17.920263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:17.920263Z digest=sha256:1076f6090aa791bb4943913418ed27d21c2e58184a013980bc5c80c8f7b8bfb4

Observation 16d5395f-b84e-4c77-aacb-37cae272abf1 · outbound

This paper cites Debloating software through Piece-Wise compilation and loading,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Debloating software through Piece-Wise compilation and loading,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:18.019130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:18.019130Z digest=sha256:10776f6cc1e435509dd0e53403ed90a7518e4289007e2317643a73795d147bfd

Observation 96d9a9e0-2d65-4be1-af87-7c546b5b8791 · outbound

This paper cites Compressing code context for llm-based issue resolution,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Compressing code context for llm-based issue resolution,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:18.118450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:18.118450Z digest=sha256:8371b4b699977e749ab506ab5181053a327f9d7afd1de43818147000ebd9c329

Observation 02995f8a-f20d-4c3e-8a74-dd47440904de · outbound

This paper cites SWE-bench leader- boards,.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization SWE-bench leader- boards,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:18.267867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:18.267867Z digest=sha256:122ba74c0741848f128fee9aadd6f7143bd94c989e70af85800bce9853fb8006

Observation 7ec33045-57ce-478b-9bc2-4d84561a7fb4 · outbound

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

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:18.381131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:18.381131Z digest=sha256:796eb7983ba7acc1ccf3a2174a11717f4ce78f1676a23e27bbab1180ffe33168

Observation f135b175-52b7-45a8-a036-309c8577d4ec · outbound

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

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Live-SWE-agent: Can software engineering agents self- evolve on the fly?

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:18.481021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:18.481021Z digest=sha256:dc1e5d9b272727fc0261ac571b345ce7d9d51d2e797203e2679c250832988f49

Observation 240569c6-2a48-4b64-afc2-9d9d51b1c239 · outbound

This paper cites Code Researcher: Deep Research Agent for Large Systems Code and Commit History.

TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Code Researcher: Deep Research Agent for Large Systems Code and Commit History

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:18.619486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:18.619486Z digest=sha256:4c8d53deda11a04d10d8adacb7568bead0233bdb353b182392d4793c35f05217

Pith citing papers

No inbound Pith citation observations are available.