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Paper Citation Record · LEDGER

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories

As of 17 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2608.10319.

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

pith.paper-citation-record.v1
2608.10319 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:13:56.730181Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

24 of 24 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved22
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 01ea7596-886c-46f9-ae7c-b7cd0fd03fcc · outbound

This paper cites EvoSkill: Automated Skill Discovery for Multi-Agent Systems.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories EvoSkill: Automated Skill Discovery for Multi-Agent Systems

Reference 1

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source=pdf_text observed=2026-08-14T04:13:56.636301Z digest=sha256:3691aa8dca659abca25bd3a6e090b2135703153716459bffca166b0f88eb4260

Observation 5d3111d4-c015-40f0-9c7a-e3a9ab50a81c · outbound

This paper cites Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation

Reference 3

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source=pdf_text observed=2026-08-14T04:13:56.645228Z digest=sha256:811c7380075ecd820ebe08b8fa0fb8bd8d48c36d839d6450c3339f1c2f10d09f

Observation fa903e01-57d0-42f7-9af4-d9dd1fd15c1d · outbound

This paper cites AdaMem: Learning What to Remember for Personalized Long-Horizon LLM Agents.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories AdaMem: Learning What to Remember for Personalized Long-Horizon LLM Agents

Reference 4

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verified exact
local_arxiv, observed 2026-08-14T04:13:57.328448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:13:56.649715Z digest=sha256:8e00f269e510b24c635748cdb935b0347ed1085ef67ade78c28768b92df1361e

Observation 7656ccd5-8762-4626-8825-53c1de1a5e9d · outbound

This paper cites SkillRet: A Large-Scale Benchmark for Skill Retrieval in LLM Agents.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories SkillRet: A Large-Scale Benchmark for Skill Retrieval in LLM Agents

Reference 5

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source=pdf_text observed=2026-08-14T04:13:56.654307Z digest=sha256:81b2e059acba3dcd253c750281a27b9b3b27f0097c8438502d3162c00bda7072

Observation b2a59b7d-c944-4db7-be24-eb4356b12b43 · outbound

This paper cites Swe-skills-bench: Do agent skills actually help in real-world software engineering?arXiv preprint arXiv:2603.15401,.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories Swe-skills-bench: Do agent skills actually help in real-world software engineering?arXiv preprint arXiv:2603.15401,

Reference 6

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source=pdf_text observed=2026-08-14T04:13:56.659179Z digest=sha256:30379cbf38d2cb5a2846ee7302d85ed7599bd60737252ae248ec6bd6c68d0156

Observation 7bc7a48f-ea04-44cf-9b53-018aadba8b31 · outbound

This paper cites SoK: Agentic Skills -- Beyond Tool Use in LLM Agents.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories SoK: Agentic Skills -- Beyond Tool Use in LLM Agents

Reference 7

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source=pdf_text observed=2026-08-14T04:13:56.664065Z digest=sha256:5a8e769eee66cfba95ccc0376fb2ef1846d4d99600d932f9ed57398ac3aecc2a

Observation dea87b96-f952-4238-aa19-f77be3e1e306 · outbound

This paper cites Swe-bench: Can language models resolve real-world github issues? InInternational Conference on Learning Representations, volume 2024, pages 54107–54157,.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories Swe-bench: Can language models resolve real-world github issues? InInternational Conference on Learning Representations, volume 2024, pages 54107–54157,

Reference 8

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source=pdf_text observed=2026-08-14T04:13:56.668437Z digest=sha256:022d4034d10d2e603ed8bbce30436668840735d68abc61710e4421e2dd702d05

Observation 1e498e4e-3dce-42d8-9dd6-36f6c5217669 · outbound

This paper cites Learning personalized agents from human feedback.arXiv preprint arXiv:2602.16173,.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories Learning personalized agents from human feedback.arXiv preprint arXiv:2602.16173,

Reference 10

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source=pdf_text observed=2026-08-14T04:13:56.676858Z digest=sha256:07257050c6ddeb325a1001277bf51e82723be286b7ad5a65805cd0ef7e18eb26

Observation 3a930ae6-2cc4-4dc6-9f4d-e41b3415cade · outbound

This paper cites SkillForge: Forging Domain-Specific, Self-Evolving Agent Skills in Cloud Technical Support.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories SkillForge: Forging Domain-Specific, Self-Evolving Agent Skills in Cloud Technical Support

Reference 11

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source=pdf_text observed=2026-08-14T04:13:56.680457Z digest=sha256:ae92ddbd77e3be57578c2f5a138845ae7e461e7e9fdc052987514b8866ae1f4a

Observation a08301d9-fe40-4eab-9f66-bc0ef9d60e6b · outbound

This paper cites Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Reference 12

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source=pdf_text observed=2026-08-14T04:13:56.684089Z digest=sha256:3c3bae1986044d84c80727c10e5f9e4e46914a259ca408f08bf497dc28801136

Observation 5f592681-4399-49b4-be51-8a776eb79376 · outbound

This paper cites AutoRefine: Compiling Trajectories into Validated Typed Agent Artifacts.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories AutoRefine: Compiling Trajectories into Validated Typed Agent Artifacts

Reference 13

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source=pdf_text observed=2026-08-14T04:13:56.687582Z digest=sha256:4315ae7ab0fab70860fda6882eaa4d2c4a12912a6d570b7faddc64223b2a40d1

Observation f9949f86-ce4b-4940-bed0-e9c303c9fb0f · outbound

This paper cites SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions

Reference 14

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source=pdf_text observed=2026-08-14T04:13:56.691241Z digest=sha256:74e554f37a48428b80d121e66a81408ef5ad0ae138e6e1f6c48ffb20232959d3

Observation fbff1b4b-7029-44b9-a9ff-b7228c685cec · outbound

This paper cites SKILLFOUNDRY: Building Self-Evolving Agent Skill Libraries from Heterogeneous Scientific Resources.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories SKILLFOUNDRY: Building Self-Evolving Agent Skill Libraries from Heterogeneous Scientific Resources

Reference 15

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source=pdf_text observed=2026-08-14T04:13:56.695089Z digest=sha256:b72d897f8a5f0274d6bb5113c094e188dac666da6ad3d217a8fe86e535d65da2

Observation 34b867e6-a0e6-4841-8b88-0535d2a8e5be · outbound

This paper cites Programming by chat: A large-scale behavioral analysis of 11,579 real-world ai-assisted ide sessions.arXiv preprint arXiv:2604.00436,.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories Programming by chat: A large-scale behavioral analysis of 11,579 real-world ai-assisted ide sessions.arXiv preprint arXiv:2604.00436,

Reference 16

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source=pdf_text observed=2026-08-14T04:13:56.698781Z digest=sha256:782de869f9f1b2b0e0b88931ac633b591f4002e991cc918503055f5b45918b4d

Observation d15d8458-a976-476f-b520-e96438aaf83b · outbound

This paper cites SkillGrad: Optimizing Agent Skills Like Gradient Descent.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories SkillGrad: Optimizing Agent Skills Like Gradient Descent

Reference 17

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source=pdf_text observed=2026-08-14T04:13:56.702376Z digest=sha256:bbb999f806356adeaa5d72d29b1a9e6634754bddbace75f90b437d6184854825

Observation b29e163d-6643-4ee7-a4cb-1ade4ad3bcdb · outbound

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

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories Openhands: An open platform for ai software developers as generalist agents

Reference 18

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source=pdf_text observed=2026-08-14T04:13:56.706250Z digest=sha256:fc0cf695a472377dd625c4981f4bd250d59aaeffbc030ee734ed5facb0dda273

Observation 26cdc1c5-7b45-4f3b-a0c1-2e9c06a5dd81 · outbound

This paper cites SWE-Together: Evaluating Coding Agents in Interactive User Sessions.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories SWE-Together: Evaluating Coding Agents in Interactive User Sessions

Reference 20

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verified exact
local_arxiv, observed 2026-08-14T04:13:56.994433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:13:56.714563Z digest=sha256:355c633c9b3f38bb947ac21308b6a9b1d64797d6d1d6d863b221f17b19ea0877

Observation 95adedf7-5764-4e42-8f24-32398e05b8b3 · outbound

This paper cites Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward

Reference 21

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source=pdf_text observed=2026-08-14T04:13:56.718271Z digest=sha256:f57bdbc838dee3fef7e0b0559ca6f8efce47447d730fd460b00ee77467267428

Observation f2568d14-490e-4099-a06a-85d2e6c4a22d · outbound

This paper cites Toward personalized LLM-powered agents: Foundations, evaluation, and future directions.arXiv preprint arXiv:2602.22680,.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories Toward personalized LLM-powered agents: Foundations, evaluation, and future directions.arXiv preprint arXiv:2602.22680,

Reference 22

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source=pdf_text observed=2026-08-14T04:13:56.721982Z digest=sha256:368633b7c75371e0487a60d78f1fec66d67a6fb5a7de0feb24b1e16f22a5fc7a

Observation 7bf89f2c-4c93-42ee-ad2a-14c9e493c3e6 · outbound

This paper cites SkillOpt: Executive Strategy for Self-Evolving Agent Skills.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories SkillOpt: Executive Strategy for Self-Evolving Agent Skills

Reference 23

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source=pdf_text observed=2026-08-14T04:13:56.726314Z digest=sha256:ba32b493ba718c9b7c4f153999d8c63504806b21c8a2954e449762cbdddbbaa5

Observation 58582534-2826-45d1-881f-ec797b35feac · outbound

This paper cites Tom-swe: User mental modeling for software engineering agents, 2026.URL https://arxiv.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories Tom-swe: User mental modeling for software engineering agents, 2026.URL https://arxiv

Reference 24

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source=pdf_text observed=2026-08-14T04:13:56.730181Z digest=sha256:f4162b7d09ac47a78ec9a219b95d94feb46c84662d20a8f25e1908491c58e585

Observation d3036f88-f26b-431e-9dfd-d11bb6cf60c9 · outbound

This paper cites SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks

Reference 2024

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source=pdf_text observed=2026-08-14T04:13:56.673022Z digest=sha256:45078b99acfca8154d065a0545fe000cc7dd2e9431dd5e0e35a1140d85fe8e7d

Observation 3473ff4c-766a-44fe-ae99-c23a8a8872d7 · outbound

This paper cites Enabling personalized long-term interactions in LLM-based agents through persistent memory and user profiles.arXiv preprint arXiv:2510.07925,.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories Enabling personalized long-term interactions in LLM-based agents through persistent memory and user profiles.arXiv preprint arXiv:2510.07925,

Reference 2025

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source=pdf_text observed=2026-08-14T04:13:56.710638Z digest=sha256:dbede39a22338121346b31beab743b47119b59e86c8e74d58aa6c69f4df9d4be

Observation 53c238a8-2280-468a-a56d-73fd8bc9451d · outbound

This paper cites SWE-chat: Coding Agent Interactions From Real Users in the Wild.

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories SWE-chat: Coding Agent Interactions From Real Users in the Wild

Reference 2026

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source=pdf_text observed=2026-08-14T04:13:56.640920Z digest=sha256:21d43122dee781603391e69ce88c4a50fe3f7dbdf2a971a2217fb2e998e16e67

Pith citing papers

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