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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:75befc8b7e6c654cb4fa42bf2a639a2b7a72bbc5758a50eb485fd30363e572a5

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:89ee8ab8dfe325f359c1357d4522fee78c7587e6b6925177a06bc61a1bb64bdf

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:3cbafa787811fc55c9fde629ef19fcb60719b9caf3401d20e0adc08904a4d4a2

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:caa002bf84f243d838eeeabccac3f1f08b05692531c66205f57a40657dac9da0

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:528905ae039d9f481be5bec8ce2aaedf0cedfdceee0b33179f4c48c2dff541d2

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:863766da8cadca0a9b3ec1dce976d01fc2a51a79191b27cb1db79627126ed9e7

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:7b67627cafaa0932dd3b9fcef9bd687e88c8db1eed0d22aba317466ab14daeb0

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:9886da4aab5824accd8d31d4b6e4d561028e049cb77ab79c92c2c3b42e2757cc

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:b0850e1252f6fcb40fc942eed031705a81d45c0efdc30cc932ab6e335c0e5153

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:ce24aebcf898e071e4c7fe18a78ffef790c2b83c8a3771e5311ad273958fd1bc

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:a4201837a08172fb4e2b7311360ac24c60aa59508e45e4cb0f3e3442aeef466a

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:8d9edc54630b7bd083979010d36e5b4a5c2f3e671017bcd71c5666891ba28bae

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.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:84d2189f0b13f6054fd4845a29aa6d435bc838e9d57ae81e60e8a768ff07941b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:3144d44a8db2d13d5801c6160771513c9bcb003a56cc11d7fb1752c12ceff5cd

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:2db40c745fabfd3b88c2be40d44d21aed862bc6ac1f2e584bb7ae31a6cb49b20

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:e84d5906c1a844e99cb124286800701d63b40257cdc7925c2cc3252c7381b206

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:7de94cf907a0793332b85d9bf5269963bef91f0567a690edcc082ef9b16bfa41

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.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:34684e2fa6261e031fe2599ccb4c60508ac446827829a30647e9f417d08e0d6d

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.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:799d7e76c166f7e86f6eed7200ba8cb26e60b4227499cc0d458f105ab5b2c944

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:7240884c0a3176cd9b3627f1cae51eba73f8dbb3e9e86a96047c8d8b340a151a

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:8aab9d61c2eb1c42f0c28057cf85c466218ddc4e0f5bca1b0fc37c81810d9922

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:8fefa528162f2b0c66314f863d5ddaa0b06915a098dd59b828f2baa790be2a3a

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:446b7e4a67cf7e7975eb7d23547245e22b76fd67f85015b18d838e40bb0b6107

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:51c1b836766712f26190ced36e457d8bcd807336fc4f7a5c045b6f02ac495398

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:f8feb478bfef36e88c521b71c2a163f037ef08383f36f2e38c61882cd13d2d6c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:dd69278e6f12061f86d860d3ba415e39854f4112dba57e476d49ca0f590e4404

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:3f8e703834acacb0b1ef8bb4087541f2d111e1a00003083f48536d09b8451078

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:593198ea05ec013e990e09049ec597f86a95482cb133b4983ca053a1a07e3354

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:8052e76a983fb06ddb78a24a2996b016896d88560be1e127c5db96a190a206bf

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:6cfd938640ebd4ef01fbcc18e2b786f801e1e24d7dacd104fded2c81884edc76

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.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:9be06691c445552d84c45fa38ed3c7f765afceebf63e85e7204b5a562da8bc80

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:5de324b2f094a6195c6f5ee5d2452155d091ad1bf62d25781879db0472c021fa

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:4d8d8bf7d80617ece43557c06fbccacb3fc9b7df71c3cdff5cc7192f90ff6e3e

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:5ba24e5175c1a362e06e7eb89fc52193d05c5950d66d90700a2968ac3270b36f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:0063500a24685abe1510c558743a4c846705c6f3dc2814b4b9803eeb4e196db8

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:f6afa153a77d99e3cd2ad62bc76fe1c516449da366f0f46a403b7c63dccdbf5c

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

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

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source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:cf4f81302f6b3276b2e3e59567bc422431e0d5f2cac29498810d17cee349f968

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

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

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source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:d6f43840f94888169ab88d2f6e341fd25cbeedcb952f40e02a0787c2376a8e62

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

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

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source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:0048903b31146e6684e7db9baa604f71078436e2fce98d0e235e2411c7e2a229

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:5c445ceb0bae9f4e898f37dc6a55d48ea96f86c85cfc6b48c9f3e31a3f17a926

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:9e4de8f12085225b5be2154ac6ec193399c4c7284d76e9789515e072c279f796

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

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source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:15b86fd18fa2e0cd738b8ac1ab0dd87e3ef0902e945233f0090032d3e2fffde5

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:69f7bf9de030f4a5d2ea1394ce825b8799deb318e1c40dd510ba48bae928648f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:f6b3d70bdb4e29edba44df5248696ff651303d318f396a9182e0de193c739a03

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:cf639dc6898ab1c95101f2625dba3f5f637311cde42127a9bc961dee07675e7d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:d3bc44c433454d2a11f6ab672b2103a464bcf0d6e5e5ae31bc182e92274e92d9

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

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

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source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:06e1306ca9f875d261e237723038be30ed8a3ad3d85ceed94ed3dc20492c66c2

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:130f073d0392061670d86b2243659a20d862c040c497493ce4297827e6bb5e07

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

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source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:f0ec48143f3afbc3ceb83523caadcf24dc1287a8a6fc8c674bd31d28d4900bd5

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:502075ca322548844d6ee8c70de6f329725812c1fc3ac75e0095c36961fd6acc

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:d1c23e5f5f250521f058dd1448106ebe156d4036797c94632758d3ff92f01fc2

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:5af15695fed0c2f10d45f59802b4aaf3b52b30927f78f07c663117d075e37d20

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:6bbb9f9302de416f4ffe88052efe7190a334e8f9c775c48ef4bb814b473ce4df

Observation ec0dbd19-b386-4a96-91d4-43d34ff901c5 · outbound

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:ca60c8dec8819074b6bf8b95b739fdcf810dbedd8967db6e0bd3d196a6dc5346

Observation 7b34b8e1-ddfd-4b89-ad24-0e8a35ecb49c · outbound

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:2efb9fff57fd5aaca7a885671d4921404395c7be3f3de83160fcf008613c6893

Observation 00ea4546-b043-444e-92fc-c2cd2f1c3826 · outbound

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:113482263e83e890eb41440b4c9dd82dfe23b462e1c664bdeeefcf4de4ad5c4f

Observation 142b04ba-5b4e-456f-af47-a70b4f615e34 · outbound

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:5ba87dc31346eb8623f4474a607561e6ef9b14bf7dc547f77b6ca4f8e65dfa46

Observation a7854639-184e-402e-8b81-00517d6c7e20 · outbound

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:3c91c8b2790b9f92718c542758fc3d536825ae0073db0e2bf401077f478cd02e

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

This paper cites an unresolved cited work.

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

Reference 59

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:1a79d686284e313a6c30538d522f0b9f3c410111e3cf10d9e368106e9c05e8d2

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

This paper cites an unresolved cited work.

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

Reference 60

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T08:39:41.575494Z digest=sha256:0916d2245bb6befd41364ad0e065d19535f7586ee9df76c65865a6b5570732a6

Pith citing papers

Observation 9729a6c7-ccac-4505-8092-f08d910331e6 · inbound

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

Resolution
verified exact
local_arxiv, observed 2026-08-08T05:45:38.237710Z

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=2026-08-08T05:45:36.019002Z digest=sha256:01a3c0730da143affad85f8d7f534ab990fb98044ab446e342cbe888166a5e4c

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

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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unresolved
no resolver link, observed 2026-08-14T04:13:56.645228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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