Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T15:54:18.619486Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T15:54:18.619486Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
37 of 37 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a11824d2-b49e-4e6a-bf71-73afcc65ab2f · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization (2026) Claude Code by Anthropic — AI Coding Agent, Terminal, IDE
Reference 1
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Observation b1ea9d73-6a7b-40b7-a041-f3b302542bd8 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization (2026) Claude Code by Anthropic — AI Coding Agent, Terminal, IDE
Reference 2
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Observation 6d8c344f-bce4-42ae-8480-461736d6c02c · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization (2026) Cursor: The best coding agent
Reference 3
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Observation 1584cacc-7641-41a1-8a48-038ac28d1ab3 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Agentic ai software engineers: Programming with trust,
Reference 4
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Observation abaf6c6a-f394-4d22-a7da-32f90062a6c8 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Understanding software engineering agents through the lens of traceability: An empirical study,
Reference 5
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Observation a513f7e5-764d-4059-90c9-94439ac6c0f0 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Why agentic-prs get rejected: A comparative study of coding agents,
Reference 6
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Observation 1d3c03a7-4303-402e-a091-2c209cdfaab5 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Novice developers produce larger review overhead for project maintainers while vibe cod- ing,
Reference 7
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Observation 22193125-6868-4434-9a8c-02ab039d222f · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Coherence Collapse: Diagnosing Why Code Agents Fail After Reaching the Right Code
Reference 8
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Observation 7fc00a03-027b-4005-80de-9a85eb3265f1 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Improving the efficiency of llm agent systems through trajectory reduction,
Reference 9
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Observation 08ed811c-1377-4318-85a2-48bb1e470952 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Memory leak in map create,
Reference 10
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Observation 6b0ae733-4893-445e-9ba6-2b145968feae · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization SWE-agent: Agent- computer interfaces enable automated software engi- neering,
Reference 11
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Observation 2f1c33c6-5b9a-4d17-ad16-e9010f839aa4 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization What to cut? predicting unnecessary methods in agentic code generation,
Reference 12
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Observation 143cc65d-42ac-4573-861a-04f06a09945a · outbound
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
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Observation fae6a97d-8276-4ae4-abad-161fe78ea5ac · outbound
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
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Observation 0432f48a-f05f-4e7d-9496-69022f17e7b8 · outbound
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
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Observation 2e8fd858-44ed-4db0-9fcb-4dee6664c9d9 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization A taxonomy of inefficiencies in llm-generated python code,
Reference 17
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Observation eddb5007-e7d7-40ac-8258-9009191e3a3a · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Yesterday, my program worked. today, it does not. why?
Reference 18
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Observation 78f9bbcf-283b-4beb-8790-afd738030ad1 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Git bisect,
Reference 19
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Observation 4f96f206-d7c7-4498-83ba-6319dd335b12 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Outrunning LLM Cutoffs: A Live Kernel Crash Resolution Benchmark for All
Reference 20
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Observation 18f4066f-1816-4041-8334-a5b34d82bdc7 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Reference 21
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Observation 37566b36-b2b4-43e6-86e1-a707907b4b62 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks
Reference 22
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Observation 7b8535d9-6475-4c2d-8bba-44f171b144a6 · outbound
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
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Observation 870cd3e5-4842-4544-b80b-02e6496ffae0 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization kAgent: An execution-guided crash resolution agent for the Linux kernel
Reference 24
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Observation ecb1f33f-778a-4da0-b75b-c75a4183af7e · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization OpenHands: An Open Platform for AI Software Developers as Generalist Agents
Reference 25
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Observation 91394acf-2037-4af7-87fe-bfadbb0bacb2 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Hdd: hierarchical delta debugging,
Reference 26
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Observation 5565d80c-4758-47f5-896a-8419ca22e57b · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Measuring ai
Reference 27
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Observation 48802ddf-2f14-4822-a8da-5ae11df51449 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Test-case reduction for c compiler bugs,
Reference 28
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Observation b2bb869f-113c-4bb0-a536-5761bfb0cf4e · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Perses: syntax-guided program reduction,
Reference 29
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Observation 7d62f9ac-3993-4350-bfea-ea925da09510 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Effective program debloating via reinforcement learning,
Reference 30
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Observation 348a7102-74d2-418a-82fc-753fcf75aed0 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Cimplifier: automatically debloating containers,
Reference 31
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Observation da266bdd-9949-4e74-9e41-f4d08cb0acec · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Jred: Program customiza- tion and bloatware mitigation based on static analysis,
Reference 32
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Observation 16d5395f-b84e-4c77-aacb-37cae272abf1 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Debloating software through Piece-Wise compilation and loading,
Reference 33
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Observation 96d9a9e0-2d65-4be1-af87-7c546b5b8791 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Compressing code context for llm-based issue resolution,
Reference 34
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Observation 02995f8a-f20d-4c3e-8a74-dd47440904de · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization SWE-bench leader- boards,
Reference 35
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Observation 7ec33045-57ce-478b-9bc2-4d84561a7fb4 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling
Reference 36
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Observation f135b175-52b7-45a8-a036-309c8577d4ec · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Live-SWE-agent: Can software engineering agents self- evolve on the fly?
Reference 37
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Observation 240569c6-2a48-4b64-afc2-9d9d51b1c239 · outbound
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Code Researcher: Deep Research Agent for Large Systems Code and Commit History
Reference 38
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No inbound Pith citation observations are available.