Paper Citation Record · LEDGER

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation

As of 22 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 2 inbound Pith citation observations for arXiv:2606.23127.

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

pith.paper-citation-record.v1
2606.23127 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T08:39:41.575494Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:13:56.645228Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T05:45:38.232780Z

Reference resolution

60 of 60 outbound references displayed

verified exact16
verified fuzzy0
unresolved36
parse uncertain0
malformed identifier0
metadata mismatch8

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f0515389-43c7-4237-a496-94af063b7f07 · outbound

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

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Reflexion: language agents with verbal reinforcement learning , booktitle =

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30a2a735-6cc1-4632-a846-d0b2d6c54c2b · outbound

This paper cites target_host.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation target_host

Reference 2

Resolution: verified exact; doi, observed 2026-06-26T08:49:15.285125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 874aae37-0281-4f0f-aed2-87c7c367d165 · outbound

This paper cites From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions , booktitle =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions , booktitle =

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 078f6b8a-5a5f-48d0-868d-e0abfa8a32cd · outbound

This paper cites Empowering Large Language Model Agents through Action Learning.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Empowering Large Language Model Agents through Action Learning

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T08:49:15.283428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 48de5fd3-a7c2-424e-923d-026fd87b6a58 · outbound

This paper cites Le and Denny Zhou and Xinyun Chen , title =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Le and Denny Zhou and Xinyun Chen , title =

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72008e17-61b4-4231-af69-cb38a9e781b5 · outbound

This paper cites Autoskill: Experience-driven lifelong learning via skill self-evolution.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Autoskill: Experience-driven lifelong learning via skill self-evolution

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-26T08:49:15.253705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 218eb337-73a6-46e0-bdd9-7cfce350fd25 · outbound

This paper cites Memp: Exploring Agent Procedural Memory.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Memp: Exploring Agent Procedural Memory

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-06-26T08:49:15.266782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bf1e4476-e9cd-478a-b3ca-823563999f4b · outbound

This paper cites 2026 , doi =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation 2026 , doi =

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbff801a-2fdd-4df9-8e7e-5ee2a4f056d2 · outbound

This paper cites In: Proceedings of the 23rd International Conference on Mining Software Repositories (MSR) (2026), arXiv:2512.18925, to appear 16 O.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation In: Proceedings of the 23rd International Conference on Mining Software Repositories (MSR) (2026), arXiv:2512.18925, to appear 16 O

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-26T08:49:15.281037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2398d9f9-2f3c-4de9-b45d-4ccb87f9d9ee · outbound

This paper cites 2026 , doi =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation 2026 , doi =

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f42f141-8702-45cc-8761-c7cc66a235cd · outbound

This paper cites Graph-of-Skills: Dependency-Aware Structural Retrieval for Massive Agent Skills.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Graph-of-Skills: Dependency-Aware Structural Retrieval for Massive Agent Skills

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-06-26T08:49:15.235368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b2775a65-c93d-4ed1-98a7-5a6681e70cdb · outbound

This paper cites SkillReducer: Optimizing LLM Agent Skills for Token Efficiency.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation SkillReducer: Optimizing LLM Agent Skills for Token Efficiency

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-06-26T08:49:15.232710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 51ae9b91-6099-489e-857a-653f52f66e6e · outbound

This paper cites 2026 , doi =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation 2026 , doi =

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08d13688-d796-4e7a-a2bd-779a89c87010 · outbound

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

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-06-26T08:49:15.240746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1fcaafdc-c277-4ee6-8410-7bae7dbaa852 · outbound

This paper cites How Well Do Agentic Skills Work in the Wild: Benchmarking.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation How Well Do Agentic Skills Work in the Wild: Benchmarking

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0232d706-fa8a-42c3-a4a9-c1efc5528051 · outbound

This paper cites WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-26T08:49:15.272343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bdf23a2f-6545-42d0-b9af-f08a941e05d3 · outbound

This paper cites 2026 , doi =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation 2026 , doi =

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01911868-c044-46c8-9180-d7c24f007398 · outbound

This paper cites 2026 , doi =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation 2026 , doi =

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afa803c2-8ea3-4d9f-be92-d4bc5f493e1a · outbound

This paper cites 2026 , doi =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation 2026 , doi =

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 128d63f7-c19d-4cf4-842a-db2c86a07d7e · outbound

This paper cites Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-06-26T08:49:15.257821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ea1c21ef-a117-49f3-9d3d-4c5e2a711e3c · outbound

This paper cites Hyperagents.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Hyperagents

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T08:49:15.267780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a6e7484e-bd5c-4e00-8d6e-84121585df68 · outbound

This paper cites Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-06-26T08:49:15.258553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d1f5022f-5e6e-4aba-b149-f0e110041d6d · outbound

This paper cites Towards agentic self-learning llms in search environment.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Towards agentic self-learning llms in search environment

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-26T08:49:15.276898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 30fac6e2-54de-4751-a55c-8903e5724cce · outbound

This paper cites 2025 , doi =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation 2025 , doi =

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36da5637-b538-4e17-9fc4-101eb9c55412 · outbound

This paper cites A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-06-26T08:49:15.261093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c14027cb-b536-4031-babb-0b38c0958ac8 · outbound

This paper cites Truly Self-Improving Agents Require Intrinsic Metacognitive Learning.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Truly Self-Improving Agents Require Intrinsic Metacognitive Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-26T08:49:15.256236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ff02f475-f7a4-4abe-9b8b-83030739d36e · outbound

This paper cites Memento-skills: Let agents design agents.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Memento-skills: Let agents design agents

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-06-26T08:49:15.238195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 459f8fc8-db1f-4b1f-b148-e5847289544b · outbound

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

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation EvoSkill: Automated Skill Discovery for Multi-Agent Systems

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-06-26T08:49:15.272762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bd71abb4-1518-4acd-84b0-995374263969 · outbound

This paper cites 2026 , doi =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation 2026 , doi =

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7b4c54c-1d21-44bd-b3b8-b045892f1e16 · outbound

This paper cites 2026 , doi =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation 2026 , doi =

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 719f459b-3da6-4664-8387-00ac049e12bf · outbound

This paper cites Jimenez and John Yang and Alexander Wettig and Shunyu Yao and Kexin Pei and Ofir Press and Karthik R.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Jimenez and John Yang and Alexander Wettig and Shunyu Yao and Kexin Pei and Ofir Press and Karthik R

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dff139bc-57a9-45a7-a35c-1bd524ad4df0 · outbound

This paper cites The Twelfth International Conference on Learning Representations,.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation The Twelfth International Conference on Learning Representations,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a719e8cc-ce3c-4078-a110-728b2c0fa604 · outbound

This paper cites Hermes: A Large Language Model Framework on the Journey to Autonomous Networks.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Hermes: A Large Language Model Framework on the Journey to Autonomous Networks

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-26T08:49:15.269429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e5dd4a46-09cb-4b57-bcdc-8c05af16ab55 · outbound

This paper cites Xu and Hao Zhu and Xuhui Zhou and Robert Lo and Abishek Sridhar and Xianyi Cheng and Tianyue Ou and Yonatan Bisk and Daniel Fried and Uri Alon and Graham Neubig , title =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Xu and Hao Zhu and Xuhui Zhou and Robert Lo and Abishek Sridhar and Xianyi Cheng and Tianyue Ou and Yonatan Bisk and Daniel Fried and Uri Alon and Graham Neubig , title =

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d108005-1461-4845-954a-c500aaedacf3 · outbound

This paper cites The Thirteenth International Conference on Learning Representations,.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation The Thirteenth International Conference on Learning Representations,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9457faa-0385-474b-a4d2-0dbe932bdfb3 · outbound

This paper cites 2020 , journal =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation 2020 , journal =

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84d6464d-52e7-45d9-bee5-37568e5320c4 · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Advances in Neural Information Processing Systems , year =

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28d5229b-a526-427c-814e-71eaa7c0e98e · outbound

This paper cites Forty-first International Conference on Machine Learning , year =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Forty-first International Conference on Machine Learning , year =

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d2fa1b2-d062-4953-9491-800f0d72ce59 · outbound

This paper cites Frontiers of Computer Science , volume =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Frontiers of Computer Science , volume =

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05521bc2-7e2a-4c14-98fd-0033cd01cc27 · outbound

This paper cites Large Language Model Agent: A Survey on Methodology, Applications and Challenges.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Large Language Model Agent: A Survey on Methodology, Applications and Challenges

Reference 40

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T10:39:45.115627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6b14f35d-aded-4cf0-ade6-4f9d9d601d88 · outbound

This paper cites 2026 , url =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation 2026 , url =

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddd2c357-73fc-46b8-92b8-86b6db1cf35b · outbound

This paper cites Authorea Preprints , year =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Authorea Preprints , year =

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4eae7b8-2746-4d4b-9322-1ad403139efe · outbound

This paper cites SPRIG: Improving Large Language Model Performance by System Prompt Optimization.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation SPRIG: Improving Large Language Model Performance by System Prompt Optimization

Reference 43

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T10:39:45.119234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c99daeaf-a422-4f32-945d-53f9e9ce15f5 · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , year =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , year =

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d3875cb-bfaa-4e2f-88b8-aa72fd15c187 · outbound

This paper cites Gomez and Lukasz Kaiser and Illia Polosukhin , volume =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Gomez and Lukasz Kaiser and Illia Polosukhin , volume =

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6415c599-122d-45d0-9a4b-84570b4a30fc · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Advances in Neural Information Processing Systems , volume =

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6bfcd92-e75e-4df4-ba8d-e369d686d3fb · outbound

This paper cites 2023 , url =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation 2023 , url =

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4aff863-d9eb-4842-9a61-d60db93c662a · outbound

This paper cites C hat D ev: Communicative Agents for Software Development.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation C hat D ev: Communicative Agents for Software Development

Reference 48

Resolution: verified exact; doi, observed 2026-06-26T08:49:15.251021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b4294282-f8fb-4fbf-bb92-8b1af4a58ade · outbound

This paper cites Journal of Machine Learning Research , volume =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Journal of Machine Learning Research , volume =

Reference 49

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 031df54c-7b05-4a17-b8e8-a12164bf75d9 · outbound

This paper cites Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks , booktitle =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks , booktitle =

Reference 50

Resolution: verified exact; doi, observed 2026-06-26T08:49:15.274151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b9faa3bb-35c4-4e9a-9bf2-df001bb62d62 · outbound

This paper cites an unresolved cited work.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Unresolved cited work

Reference 51

Resolution: verified exact; doi, observed 2026-06-26T08:49:15.278583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f4670d2e-134c-494a-be43-2cf24f13914e · outbound

This paper cites American Journal of Physics , volume=.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation American Journal of Physics , volume=

Reference 52

Resolution: unresolved; no resolver link, observed 2026-06-26T08:39:41.575494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fef82c6-8b56-48dc-8757-99ded1855f77 · outbound

This paper cites SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-06-26T08:49:15.248983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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This paper cites The Fourteenth International Conference on Learning Representations,.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation The Fourteenth International Conference on Learning Representations,

Reference 54

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This paper cites Merrill and Alexander G.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Merrill and Alexander G

Reference 55

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This paper cites Proceedings of the 42nd International Conference on Machine Learning,.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Proceedings of the 42nd International Conference on Machine Learning,

Reference 56

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This paper cites The Fourteenth International Conference on Learning Representations,.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation The Fourteenth International Conference on Learning Representations,

Reference 57

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This paper cites Gonzalez and Hao Zhang and Ion Stoica , title =.

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Gonzalez and Hao Zhang and Ion Stoica , title =

Reference 58

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Observation c3fc0812-4e6b-4021-92cc-64ce3bab7b35 · outbound

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Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Unresolved cited work

Reference 59

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Observation aabd4dba-2a88-4933-b60f-78ef0cd740eb · outbound

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Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Unresolved cited work

Reference 60

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Pith citing papers

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SkillZip: Contract-Preserving Graph Compression for Scalable Agent Skill Libraries cites this paper.

SkillZip: Contract-Preserving Graph Compression for Scalable Agent Skill Libraries Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation

Reference 2

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Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories cites this paper.

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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