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Paper Citation Record · LEDGER

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

As of 7 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 80 inbound Pith citation observations for arXiv:2602.02474.

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

pith.paper-citation-record.v1
2602.02474 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:25:42.612699Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 80 of 80 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T04:26:29.366925Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

21 of 21 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 91b2018b-7646-4e46-a4b3-9af27c0615e9 · outbound

This paper cites an unresolved cited work.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:39.787923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:39.787923Z digest=sha256:5f27283211c8be4c86e0714df0109ceea0e44f7438934f89882199e9aa303cf8

Observation fc179243-1863-4f00-aa5f-2867109cf924 · outbound

This paper cites an unresolved cited work.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:39.851128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:39.851128Z digest=sha256:f4f1ee8805314ce5d0d9314fd08a33f9795bfb511fd8c1d580421f23329a625e

Observation a1ba0b82-55fc-41db-8a27-507e3b549ae5 · outbound

This paper cites an unresolved cited work.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:39.958711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:39.958711Z digest=sha256:d051f675cba813faf705f3720a721e0e892e62da6116d626a8a187ced9aeb891

Observation c57a56c8-d954-4e37-a8bc-c847b257c692 · outbound

This paper cites an unresolved cited work.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:40.067603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:40.067603Z digest=sha256:34678f2e7ebc38ab108533a36fe796359d0ae6584e38a44fc005fb54b768de86

Observation ee9c16ae-7fc3-4179-8f23-61aad0782ed3 · outbound

This paper cites an unresolved cited work.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:40.185615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:40.185615Z digest=sha256:9dfe18313a3a7b33e6abd67a817b2fa0c790535f1ab668380b107cafd66a122a

Observation ae1ab481-9971-4576-a374-4a9668df907e · outbound

This paper cites an unresolved cited work.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:40.433852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:40.433852Z digest=sha256:9701a74e9b0d454521558c8605139835f076814bb39ed78694ceaeeb7406f871

Observation 80732ecd-a823-4e4a-a0a2-63635116492e · outbound

This paper cites an unresolved cited work.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:40.566380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:40.566380Z digest=sha256:28c63f4263ef310557a5dfff9b707cbafdddb3a95274bc1b1bfd42880f91d7c0

Observation 564a0165-bd59-424e-9b12-72eccf9dbd12 · outbound

This paper cites an unresolved cited work.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:40.699181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:40.699181Z digest=sha256:1945e6e3878612cad71bde07cbdc49869b9f12da9a05f609b2cda66f70b55179

Observation 769f298d-cc88-4eca-80ac-a961f63bbd00 · outbound

This paper cites failure patterns.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents failure patterns

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:40.834211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:40.834211Z digest=sha256:b4464dd38eec61002b0b1064da241305211a4a84f3968f22637d7e0a4ae45fd3

Observation c81895ae-c7fd-4d32-9f41-c6fedd627702 · outbound

This paper cites an unresolved cited work.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:40.991292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:40.991292Z digest=sha256:35b09a9c683716c9fa183df095ed6c626d56e6bc63bc5da99a71b46ae890bfa5

Observation def91dcb-0f8b-4a0d-a1f9-631082b86c4d · outbound

This paper cites an unresolved cited work.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:41.152026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:41.152026Z digest=sha256:5ecf617056eed0f351b489854a7855e6155ae1d43d045cab26d07456b6b2b8e7

Observation df0e163e-7b58-45eb-b6b0-f369b76e6be5 · outbound

This paper cites an unresolved cited work.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:41.298358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:41.298358Z digest=sha256:5227724775dbcc94caf5b945353747b1520525b0c0b109c026a99feef5fff256

Observation f2800edf-b064-4c1e-8f32-029bae8f0426 · outbound

This paper cites insert” or “update.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents insert” or “update

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:41.466284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:41.466284Z digest=sha256:7728acc57f8ff2194389489e152b32deedf2ee3d899ceb85691a79d84fcb3480

Observation f473d27d-74c5-443f-883d-98a77a4b5c42 · outbound

This paper cites insert” or “update.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents insert” or “update

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:41.638632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:41.638632Z digest=sha256:8095bb0de4d5297c3fd2c9ffb8bec0282c989ccaa686f0bfbdf01dcbb27b8fdb

Observation c683e664-973a-42b0-9e50-9e84f938afbd · outbound

This paper cites ENHANCED.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents ENHANCED

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:41.749106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:41.749106Z digest=sha256:ea38051142327ca13edcdf5170a29897c8d317dcda6819222d9dc8e498f1305f

Observation 4db52bda-ca72-4386-a3e9-85a3b0b92a4e · outbound

This paper cites an unresolved cited work.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:41.899642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:41.899642Z digest=sha256:70514907534151fff734a6bec4c656058082291144751ac84bc20dcb5cf5a0af

Observation e9d0db4a-95c8-408e-a337-dfbe93f31804 · outbound

This paper cites an unresolved cited work.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:42.063181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:42.063181Z digest=sha256:178012408dbe1fb9df270010337befa264e0bf8bad6be408de05371f3fb26e2c

Observation e49d89fd-285a-457f-bff3-d1e4a3c52575 · outbound

This paper cites name”: “extract personal preferences.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents name”: “extract personal preferences

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:42.199642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:42.199642Z digest=sha256:c18918d668c9000f7522b1a8b9ac118f7e0f241d3c1c7f983da03083f105c4b6

Observation f69ac4cd-8f35-4900-a9e5-e4a1e2e938c4 · outbound

This paper cites an unresolved cited work.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:42.346221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:42.346221Z digest=sha256:eb281572372c97378d5c02e096c7c4433996c4a2b46605031aad51ab841aa60c

Observation 088a90ec-2641-445d-8907-1efb44142ac7 · outbound

This paper cites an unresolved cited work.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:42.489377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:42.489377Z digest=sha256:cfb39a6bec0aed563b4ef9fae9a156b42353299f69a864b4945617beae38a193

Observation c2de8e04-5516-4e90-89c2-abb52e110966 · outbound

This paper cites explanation.

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents explanation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:42.612699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:42.612699Z digest=sha256:d3b48c86ab86aa1c4bc08fd6e524a7676622382c0cab22734d62af347f285940

Pith citing papers

Observation 51e4d504-bec1-48e5-a515-c2d62d4cc6ca · inbound

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems cites this paper.

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-14T22:43:12.063985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T22:42:43.070265Z digest=sha256:bb6a3b7fbd3db6ac7ffae58df3b8c8b0d9d8839cfae5e7240b2a77bd6ca62f73

Observation 836391f0-ac19-45f0-9b7c-acaef89a27f9 · inbound

MemCoT: Test-Time Scaling through Memory-Driven Chain-of-Thought cites this paper.

MemCoT: Test-Time Scaling through Memory-Driven Chain-of-Thought MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:46:59.581486Z digest=sha256:152b4f2c1f7b65a34e5a589888c24349ada2d9a50602ae2ab3891d7aa8004ede

Observation 7fa7a639-de2d-4a03-8844-8e5169a50c24 · inbound

MemCoT: Test-Time Scaling through Memory-Driven Chain-of-Thought cites this paper.

MemCoT: Test-Time Scaling through Memory-Driven Chain-of-Thought MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-05-21T09:34:57.235003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T09:34:16.292323Z digest=sha256:466c5b964f50f8e9ff4eb6a09d0612d427d520a51b91b92e98fd8aa709b74c05

Observation 054059a1-d2d5-4156-a45c-4bfce4dee383 · inbound

Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering cites this paper.

Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 185

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T17:40:14.733882Z digest=sha256:ad62cbce2a162ca3579ebe7d2d9aab353b7b699c024caf902bcb21b8e39d23b3

Observation a326d862-998a-453b-a8b8-9dc574667008 · inbound

M$^\star$: Every Task Deserves Its Own Memory Harness cites this paper.

M$^\star$: Every Task Deserves Its Own Memory Harness MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:40:12.368228Z digest=sha256:78c541d5cdf6a70d6e5a475db36d844b687cce15b2c0fe43cce182f29f9dc9ee

Observation 72b4a436-a941-493a-9248-47d829d22900 · inbound

M$^\star$: Every Task Deserves Its Own Memory Harness cites this paper.

M$^\star$: Every Task Deserves Its Own Memory Harness MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 33

Resolution
unresolved
no resolver link, observed 2026-07-12T23:39:48.095337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T23:39:48.095337Z digest=sha256:c20ca2acdf056388c88a24f0f5d504d5cffb0a87bd565351b6f81d20fec7b522

Observation f2af5e01-ac98-42de-9766-8a4450c6ca77 · inbound

From Procedural Skills to Strategy Genes: Towards Experience-Driven Test-Time Evolution cites this paper.

From Procedural Skills to Strategy Genes: Towards Experience-Driven Test-Time Evolution MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T10:52:47.760627Z digest=sha256:31ef13413f9ce31f468f6ba193d9edb0004d050e5a5a3fe04ad53018f75005c8

Observation 061775d1-192a-40de-a9d8-1c4d157f3a8f · inbound

From Procedural Skills to Strategy Genes: Towards Experience-Driven Test-Time Evolution cites this paper.

From Procedural Skills to Strategy Genes: Towards Experience-Driven Test-Time Evolution MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-12T19:51:48.531280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T19:51:48.531280Z digest=sha256:4f9f0389ccfe4be179dc8ae7a3f2ecfca0e4012b66d9f5e5211e1ac293af8419

Observation b0e413cb-90b1-4a3c-b64d-4c0fbde557b5 · inbound

Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents cites this paper.

Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T08:41:13.057699Z digest=sha256:ca7d54c032bfa83f2cd00227f5c0aae08e68ad84aabe676bf70a81d44265abb2

Observation f5c6cd60-569b-41c3-8e2c-52abcefb5332 · inbound

SkillFlow:Benchmarking Lifelong Skill Discovery and Evolution for Autonomous Agents cites this paper.

SkillFlow:Benchmarking Lifelong Skill Discovery and Evolution for Autonomous Agents MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T06:13:32.434201Z digest=sha256:fdf291d6762a51a9c9598b95eb7836d614744fdc29a90d19d10ada875166794d

Observation ac3a3b24-8f9b-4982-9bb2-2369ccda2c2f · inbound

SkillGraph: Self-Evolving Multi-Agent Collaboration with Multimodal Graph Topology cites this paper.

SkillGraph: Self-Evolving Multi-Agent Collaboration with Multimodal Graph Topology MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T05:23:34.996713Z digest=sha256:5b5d8a2ce58d31c6a18dfd1f6df29f57ede07d7da81d056d5f6ab329ec94fe9c

Observation 607ea905-40a0-456b-a7e3-23fa1b184f7e · inbound

Ask Only When Needed: Proactive Retrieval from Memory and Skills for Experience-Driven Lifelong Agents cites this paper.

Ask Only When Needed: Proactive Retrieval from Memory and Skills for Experience-Driven Lifelong Agents MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T00:07:50.798934Z digest=sha256:2903fd0d9d5cf9e09d21bfa599c7452ea48d679b887d575ec6511f1a5d4a0d6e

Observation 119d5471-6f22-494f-9dbf-19438848dd15 · inbound

Co-Evolving LLM Decision and Skill Bank Agents for Long-Horizon Tasks cites this paper.

Co-Evolving LLM Decision and Skill Bank Agents for Long-Horizon Tasks MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T00:14:07.017420Z digest=sha256:c3813953a8164f02e03dfcbe284b2bab8acc28c9407958110ffa9ed47195d7f9

Observation 099524b1-63dd-425c-b722-87a3f0b40fdd · inbound

AutoPyVerifier: Learning Compact Executable Verifiers for Large Language Model Outputs cites this paper.

AutoPyVerifier: Learning Compact Executable Verifiers for Large Language Model Outputs MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T11:33:21.391661Z digest=sha256:c457e1d7bab1d451ea8a75e66cc7ee60a5a927894ca41539d30b78d8cd5468e8

Observation e1bddb1b-cba9-4bd8-81cc-677033dc6494 · inbound

Bian Que: An Agentic Framework with Flexible Skill Arrangement for Online System Operations cites this paper.

Bian Que: An Agentic Framework with Flexible Skill Arrangement for Online System Operations MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-12T09:21:25.938226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T11:17:46.692409Z digest=sha256:b0de078bead46e024a25926199859b883194f58c97ab4d8faace880afb8ed392

Observation 74e64e8d-0598-4ff2-a72f-bfa39eccd896 · inbound

Bian Que: An Agentic Framework with Flexible Skill Arrangement for Online System Operations cites this paper.

Bian Que: An Agentic Framework with Flexible Skill Arrangement for Online System Operations MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T01:50:45.507172Z digest=sha256:794a8fa59627538c34586d62c555c33b43352622b5e4389019ba68b2b4bbc29a

Observation 68f45c9b-4f8b-40a6-bd8e-99cf2f45f0f5 · inbound

When Continual Learning Moves to Memory: A Study of Experience Reuse in LLM Agents cites this paper.

When Continual Learning Moves to Memory: A Study of Experience Reuse in LLM Agents MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T13:37:18.042689Z digest=sha256:81b780e2a2329474f4043d23e585372dd156eb01d6cbbde8b3670be853bd1136

Observation 1b490fa6-1b2d-4aa4-882e-24c051709234 · inbound

From Context to Skills: Can Language Models Learn from Context Skillfully? cites this paper.

From Context to Skills: Can Language Models Learn from Context Skillfully? MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:21:29.345339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T06:31:51.474951Z digest=sha256:70d4dbf8af1418624853ec18d8193694fbe5d0d2472494e0c1522ab21f1d86b1

Observation aaa3fd9b-47c3-458b-b8f3-44535bf3aae8 · inbound

From Context to Skills: Can Language Models Learn from Context Skillfully? cites this paper.

From Context to Skills: Can Language Models Learn from Context Skillfully? MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-02T15:12:54.872629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:12:54.872629Z digest=sha256:20b49c92396e55bd02404451e2be466ed444d07ffd619c200237bd916b058749

Observation 2f918b7d-a0e4-4a51-ab8a-b3125c7b6900 · inbound

Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning cites this paper.

Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 167

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T19:15:27.406778Z digest=sha256:0973726151d6e7987c021b7019bf046964164ea002bda30e2c987d4253cbf0e5

Observation e43d1ecf-cd0a-4196-8617-91ec7a04e034 · inbound

Belief Memory: Agent Memory Under Partial Observability cites this paper.

Belief Memory: Agent Memory Under Partial Observability MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T12:03:27.387562Z digest=sha256:f7a95eaed17c53204032602dafb8ab17e3b9722911cd8369207784780d7b7ea0

Observation 1071dea9-85ba-4296-aea8-5e6a8ff3bdf8 · inbound

Belief Memory: Agent Memory Under Partial Observability cites this paper.

Belief Memory: Agent Memory Under Partial Observability MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T00:48:48.083210Z digest=sha256:2d8b390a37bc286e54095412d52f1e55bdd916aab7b835161bfb74fc060d0a57

Observation 79e41c07-afab-4946-a0c8-5788e4679d03 · inbound

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning cites this paper.

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T10:23:52.522238Z digest=sha256:3386d9f9720fbbd34046c6e5345507876a76a876aa7fcf043ba7ac176b844052

Observation 3bba2138-92ae-4da9-865d-4fd186e357aa · inbound

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning cites this paper.

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-11T02:00:00.663355Z digest=sha256:beaa57cdc244d3869c742a079c41469de023fb67b09f275c5a09845ab2cb2901

Observation 81165a5d-b284-44da-9864-f48bfa407ca5 · inbound

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning cites this paper.

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 47

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T07:17:28.240689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T07:17:13.708752Z digest=sha256:b55cbd4d27e7c5ee8dd2b721858a786f33db8f6b81c8332e466cb8f16f021288

Observation 206af92b-cbd9-4a45-83ac-3fa4671f307c · inbound

Safactory: A Scalable Agentic Infrastructure for Training Trustworthy Autonomous Intelligence cites this paper.

Safactory: A Scalable Agentic Infrastructure for Training Trustworthy Autonomous Intelligence MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T10:12:58.421050Z digest=sha256:2b94a4baa2b254d30876d45dbb2ee04326caff4daba0e14acbc92a3ce43c63c3

Observation dcd124b5-ae86-4742-b0e7-002ae3d55cc0 · inbound

Safactory: A Scalable Agentic Infrastructure for Training Trustworthy Autonomous Intelligence cites this paper.

Safactory: A Scalable Agentic Infrastructure for Training Trustworthy Autonomous Intelligence MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T00:56:48.838028Z digest=sha256:d056a13fe83497ce1ad200f21a1c260690ed1bf1eee6bc066805a16bea3c9d63

Observation f0b05fde-3c3c-4fc2-9b6d-b73e2c8d6788 · inbound

Group of Skills: Group-Structured Skill Retrieval for Agent Skill Libraries cites this paper.

Group of Skills: Group-Structured Skill Retrieval for Agent Skill Libraries MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-11T01:08:23.803285Z digest=sha256:45bc8495d537dc26caa8918c77b79194881a355f6016315cf5249a2f2a26858a

Observation e3718f59-0664-42cc-a39d-d09d6ef95237 · inbound

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications cites this paper.

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T01:47:39.926540Z digest=sha256:d302adb133efd59c06aea13959e326cd4282f2bc8f06937786fd53cef7d5d6fe

Observation eb25423c-b587-4318-9b99-fcec28242296 · inbound

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications cites this paper.

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 87

Resolution
verified exact
local_arxiv, observed 2026-05-20T23:19:14.873793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T23:15:44.550045Z digest=sha256:b35ac1015a99c1e3b876ea74e2c7b25332c6d25bf5626d64cfc8b88dae346fe2

Observation 4ce9996a-3671-45b4-b804-c33554459ea5 · inbound

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications cites this paper.

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 85

Resolution
verified exact
local_arxiv, observed 2026-06-30T23:25:07.272354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T23:23:42.883286Z digest=sha256:32dae69c414d47c06b964e43c7b9d2aae4d53cef28c8f468a9b70dc1b23a2fd2

Observation 1bf2b5b0-f960-4b23-9ac4-e82986ff4c9b · inbound

PYTHALAB-MERA: Validation-Grounded Memory, Retrieval, and Acceptance Control for Frozen-LLM Coding Agents cites this paper.

PYTHALAB-MERA: Validation-Grounded Memory, Retrieval, and Acceptance Control for Frozen-LLM Coding Agents MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T01:12:37.970638Z digest=sha256:426911251be0a1998775da6df683d36b647cd7a0f4670a5a8f39c90df04c524e

Observation b78383c0-6924-4936-876d-22b8c664e13d · inbound

Skill-CMIB: Multimodal Agent Skill for Consistent Action via Conditional Multimodal Information Bottleneck cites this paper.

Skill-CMIB: Multimodal Agent Skill for Consistent Action via Conditional Multimodal Information Bottleneck MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T01:24:59.721212Z digest=sha256:4773d1418744357e13f03e45e9303add2de437ce392a7ef81c4104c7db5660a4

Observation 321bd5c8-c936-485e-97a1-ef20da3e4321 · inbound

Ace-Skill: Bootstrapping Multimodal Agents with Prioritized and Clustered Evolution cites this paper.

Ace-Skill: Bootstrapping Multimodal Agents with Prioritized and Clustered Evolution MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T01:26:16.300353Z digest=sha256:f8e8a6b35310570b61019dbc4fc0d7433f379e1f13c754885db31b51075b3f58

Observation 33cdd55c-7b3b-4adc-b713-ddb4109b3841 · inbound

SearchSkill: Teaching LLMs to Use Search Tools with Evolving Skill Banks cites this paper.

SearchSkill: Teaching LLMs to Use Search Tools with Evolving Skill Banks MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T01:52:31.998772Z digest=sha256:fa6788634a3b8ee3d470efd51fed7d3855fdfd054c11f0b74ccd3739d1a47207

Observation e581ae9f-ab83-4836-8e0d-aa8e8e7a92c7 · inbound

SearchSkill: Teaching LLMs to Use Search Tools with Evolving Skill Banks cites this paper.

SearchSkill: Teaching LLMs to Use Search Tools with Evolving Skill Banks MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-15T06:10:06.284982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T06:05:16.082290Z digest=sha256:cdbff078ba1b4ba45d74120c821141981b3acad33c1194d530b2145b82373bcf

Observation a2ab5d63-f4ec-4258-b16b-f4de8a3bb140 · inbound

SearchSkill: Teaching LLMs to Use Search Tools with Evolving Skill Banks cites this paper.

SearchSkill: Teaching LLMs to Use Search Tools with Evolving Skill Banks MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-07-01T13:35:46.388019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T23:05:41.322127Z digest=sha256:0af67fee44cd57315a4958fb807aa57cf6beeab1b81b133fb72572d641126a3a

Observation a00c742f-e094-4190-9cba-a0e5238c04fe · inbound

Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation cites this paper.

Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T04:10:31.784413Z digest=sha256:d98cef5dd2333e56cbdfa75d5b2fe546f8c4c851edb44741ebc0d8bd2c4d9eb2

Observation 8a04914a-8dd8-4a39-9a48-1164739ff5d5 · inbound

Skill-R1: Agent Skill Evolution via Reinforcement Learning cites this paper.

Skill-R1: Agent Skill Evolution via Reinforcement Learning MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T04:01:50.163362Z digest=sha256:6cd70d9a67d7b23d7574c185945680d1e701c220cfaeb8b4dc56fe26b616fcea

Observation 7e2cc693-811d-49fa-bdbf-c3a8ed42e9fb · inbound

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution cites this paper.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:7fd26d01237dad88048424f05d87c7b5ab97ed57bd735704c0e3a8f377b21c5f

Observation 0f997276-e93f-4ec2-b8ca-f1762309d80c · inbound

TimeClaw: A Time-Series AI Agent with Exploratory Execution Learning cites this paper.

TimeClaw: A Time-Series AI Agent with Exploratory Execution Learning MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T02:50:22.377716Z digest=sha256:21ac3ef279e81bd9c82df273fc948e22408d92310a62e29fb34a03d7a2db7637

Observation f0c90924-7d98-4410-a99a-e25f2d246e08 · inbound

Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory cites this paper.

Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T03:38:41.904799Z digest=sha256:d782fc6723f08bbe15ba12485a7e5ca5db4b3284f0138d3c0c67793fbaed543c

Observation f26c8cf8-cb59-4ba5-afa9-946191ce361c · inbound

OLIVIA: Online Learning via Inference-time Action Adaptation for Decision Making in LLM ReAct Agents cites this paper.

OLIVIA: Online Learning via Inference-time Action Adaptation for Decision Making in LLM ReAct Agents MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 47

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T02:27:07.294736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T02:24:42.530103Z digest=sha256:c68602396e0ae46466ffd1a459e36053655c701a56f9ce8af9e7163a5c4be558

Observation a67363b6-6dfc-4628-bb12-a6c5be9a611e · inbound

LongMemEval-V2: Evaluating Long-Term Agent Memory Toward Experienced Colleagues cites this paper.

LongMemEval-V2: Evaluating Long-Term Agent Memory Toward Experienced Colleagues MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 104

Resolution
verified exact
local_arxiv, observed 2026-05-13T03:57:12.509720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T03:52:58.177144Z digest=sha256:3c4458abd502a12385c3809b5ec38524b003e89080fdd2f0913d5523fb97f021

Observation 2dd0c5b1-3124-4946-a898-2392b87d9d89 · inbound

EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents cites this paper.

EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-15T04:49:44.120441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T04:48:12.883761Z digest=sha256:52099f2469859fcb715ffbb6f0994f7cb3971846c4a2a930a1042c933f1fa8c1

Observation 441f8c17-6fa3-4d60-a461-be2c50defe63 · inbound

ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents cites this paper.

ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 60

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T05:09:45.092838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T05:08:15.750558Z digest=sha256:41ba3d92ca7dded04eefcea9047f26004c9f018cad79cbf0917c7016c753a2b0

Observation 5dd3e6b2-8875-4803-9d4f-1cb3b55e528f · inbound

ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents cites this paper.

ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 60

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T20:23:43.273474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T20:19:21.824216Z digest=sha256:35a7f8e72a2ad2bf41934f4f7babb772938b408b6a911404d6834e0f6c146e7a

Observation 29244d3c-069d-4633-a05e-28fcf9abaacf · inbound

MementoGUI: Learning Agentic Multimodal Memory Control for Long-Horizon GUI Agents cites this paper.

MementoGUI: Learning Agentic Multimodal Memory Control for Long-Horizon GUI Agents MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 83

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:58:14.950266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T11:55:36.734758Z digest=sha256:e114171172cab546d723b5e53fcf43170866888735c55e486f674b9a9f4e57f1

Observation 4bdab556-a8fb-4140-a869-70f186ae588a · inbound

Residual Skill Optimization for Text-to-SQL Ensembles cites this paper.

Residual Skill Optimization for Text-to-SQL Ensembles MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-05-22T08:41:17.228459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T08:38:41.126772Z digest=sha256:5427c17d294a73aae918a0e1bd269478204b82027bd448d2c57cf6bff155ad51

Observation 641c77a4-23c7-40c8-9fa7-9f19bbb1974c · inbound

SkillEvolBench: Benchmarking the Evolution from Episodic Experience to Procedural Skills cites this paper.

SkillEvolBench: Benchmarking the Evolution from Episodic Experience to Procedural Skills MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-06-30T16:24:55.773027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T16:18:59.083880Z digest=sha256:34998fb63dc94be3db61ef83a141a5b424caad37240462fc51e9e42915c830d5

Observation 6349c54e-3268-4174-86c5-db63a1fdbabd · inbound

Know You Before You Speak: User-State Modeling for LLM Personalization in Multi-Turn Conversation cites this paper.

Know You Before You Speak: User-State Modeling for LLM Personalization in Multi-Turn Conversation MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-06-30T13:34:40.868150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T13:26:20.309401Z digest=sha256:b4dd88a06578ccb8e20ee497b2c5aa8b101781f434cfdb8af2a6328e205827a1

Observation dbc34bd9-9681-41db-982a-29e3c2531eab · inbound

Rethinking Memory as Continuously Evolving Connectivity cites this paper.

Rethinking Memory as Continuously Evolving Connectivity MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 64

Resolution
verified exact
local_arxiv, observed 2026-06-29T12:33:24.813976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-29T12:25:50.220145Z digest=sha256:f419ab5ce34492a85b1f41c330976307a58cf2c1ff41882253203bab748197a6

Observation f2496fc5-cda1-43f0-8f1b-526d4affa8b6 · inbound

Skill-Conditioned Gated Self-Distillation for LLM Reasoning cites this paper.

Skill-Conditioned Gated Self-Distillation for LLM Reasoning MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-06-29T13:13:27.331713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T13:08:42.110543Z digest=sha256:b04d0bbd2d5868027caa590de004a614eff1b3c4b199f157d8d3ada642647035

Observation 74a6f9c7-9ae0-4215-99cd-93a6e7e9164b · inbound

Learning Design Skills as Memory Policies for Agentic Photonic Inverse Design cites this paper.

Learning Design Skills as Memory Policies for Agentic Photonic Inverse Design MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-06-29T08:03:13.850678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T08:02:27.359309Z digest=sha256:b5c73c476d2722bd08b35044ccb0339d0a423965b4e2030edb4aa119b427b1ef

Observation f8940353-a84f-472d-9971-c6b4a79121ec · inbound

OptSkills: Learning Generalizable Optimization Skills from Problem Archetypes via Cluster-Based Distillation cites this paper.

OptSkills: Learning Generalizable Optimization Skills from Problem Archetypes via Cluster-Based Distillation MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T07:13:16.755502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T07:06:39.030952Z digest=sha256:36eda756fc91b80a3e1421eb60309265ea94d8360e299f00c3759be44d13e62d

Observation 629c160b-1735-4b3b-a20b-cf3d12a0e123 · inbound

SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision cites this paper.

SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-06-28T17:42:24.820120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T17:37:31.081762Z digest=sha256:551912dc45c34f7fba02af78be3370e15f477a18a07052081a533e2f414e70d7

Observation 37a9d63c-aa0f-46e6-aa60-a1704b335806 · inbound

Unsupervised Skill Discovery for Agentic Data Analysis cites this paper.

Unsupervised Skill Discovery for Agentic Data Analysis MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-06-28T01:21:28.966098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T01:13:03.634348Z digest=sha256:fa4f92e15fb1d3f730493afe758d8b30829047acafc42a7dcbfa5c57954b0bbe

Observation da447fc1-23a4-4ba1-8724-44cb4a161f1c · inbound

Bayesian-Agent: Posterior-Guided Skill Evolution for LLM Agent Harnesses cites this paper.

Bayesian-Agent: Posterior-Guided Skill Evolution for LLM Agent Harnesses MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 22

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T21:57:25.691040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T19:25:47.085930Z digest=sha256:227493a97709700ec2ac6a0656cd9c23faf94fdc7e6464541c2ab67142000200

Observation 92448810-d99c-4a1f-8fbc-8800e96a95e8 · inbound

ConMem: Structured Memory-Guided Adaptation in Training-Free Multi-Agent Systems cites this paper.

ConMem: Structured Memory-Guided Adaptation in Training-Free Multi-Agent Systems MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:37:26.641918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T18:41:56.982127Z digest=sha256:21dffc376f9a551e61c8d4ee9f234698abc3ca4aaf0faa069fdd1e226b500c11

Observation f59e668d-210e-4629-a81a-8aaa2a5e8cf0 · inbound

Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs cites this paper.

Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 71

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T01:07:30.279120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T16:49:14.243931Z digest=sha256:f5ab4e7089249a8dd6d87de3e83f087971005d412e55293e518eadddd619cfab

Observation db2bcc8d-0063-4612-aa82-5b8fcd3a4e5a · inbound

Organize then Retrieve: Hierarchical Memory Navigation for Efficient Agents cites this paper.

Organize then Retrieve: Hierarchical Memory Navigation for Efficient Agents MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:17:57.779108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:06:59.839645Z digest=sha256:baa639092ee66e3bdbfbff0050056e42753b9d90ecdd1b4bcc182cd08582a0ca

Observation f1308d8f-aa2b-480e-aa09-60650ee73b2d · inbound

APPO: Agentic Procedural Policy Optimization cites this paper.

APPO: Agentic Procedural Policy Optimization MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 95

Resolution
verified exact
local_arxiv, observed 2026-07-03T09:37:49.359018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:21:55.485624Z digest=sha256:b9abbb6a2cc18bd70242e0670776d9aa92c6d6c87287589ab5c65d0327fa687f

Observation f4ff3a49-2e62-4b22-800f-89f952aef2b7 · inbound

APPO: Agentic Procedural Policy Optimization cites this paper.

APPO: Agentic Procedural Policy Optimization MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-03T02:12:35.315972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:12:35.315972Z digest=sha256:c26bcbd96cfe0ede0f97ab9f58235d037528ef9d2123cf60cb69d1c0fad39131

Observation 1bf6350b-fcce-4378-bf95-098e47060818 · inbound

LegalWorld: A Life-Cycle Interactive Environment for Legal Agents cites this paper.

LegalWorld: A Life-Cycle Interactive Environment for Legal Agents MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 81

Resolution
verified exact
local_arxiv, observed 2026-06-26T20:59:58.155182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T20:50:25.070041Z digest=sha256:68182c2973597dff90e0e0e1da1267c360af1519ef0ccb72420df6a0f864c5ca

Observation cfe80e1d-d43a-4882-a5b2-c975fcbbf911 · inbound

Marginal Advantage Accumulation for Memory-Driven Agent Self-Evolution cites this paper.

Marginal Advantage Accumulation for Memory-Driven Agent Self-Evolution MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 35

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T03:39:30.817954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T17:45:49.272070Z digest=sha256:5547e0d87fe155516afd539bf1e94f88e692c5d63f43e8d6564756b209456fdf

Observation 063fca38-08c8-4b36-be36-3587e6bb17b2 · inbound

Harnessing Agent Skills: Architectural Patterns and a Reference Architecture for Skill-Mediated LLM Agents cites this paper.

Harnessing Agent Skills: Architectural Patterns and a Reference Architecture for Skill-Mediated LLM Agents MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 45

Resolution
metadata mismatch
local_arxiv, observed 2026-06-28T22:42:46.503294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T22:39:46.592592Z digest=sha256:56db082f25815379d4a062750baef7d4cda9342c891e7ce3cbdb9ec733eff7a0

Observation 472b0bae-d2a8-4f31-9251-6c779617350b · inbound

What Memory Do GUI Agents Really Need? From Passive Records to Active Task-Driving States cites this paper.

What Memory Do GUI Agents Really Need? From Passive Records to Active Task-Driving States MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 66

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T10:35:41.262383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-01T05:26:53.441833Z digest=sha256:14a0f50f2699d0fefc129be10ee8547e15802907260436c2e8d09dc30a761da3

Observation a45f74f8-864f-40a7-b7f3-8fae74642904 · inbound

What Memory Do GUI Agents Really Need? From Passive Records to Active Task-Driving States cites this paper.

What Memory Do GUI Agents Really Need? From Passive Records to Active Task-Driving States MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 66

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T22:08:58.685602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-03T22:03:26.625209Z digest=sha256:c16debe8b447968a95365414dc2ecbccf28881fc071dc1a5b896ce7262f6b0d0

Observation e9ece3c6-e647-4ada-b1d2-6ae49828e925 · inbound

SkillCoach: Self-Evolving Rubrics for Evaluating and Enhancing Agentic Skill-Use cites this paper.

SkillCoach: Self-Evolving Rubrics for Evaluating and Enhancing Agentic Skill-Use MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-07-03T14:18:22.416452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-03T14:18:01.067727Z digest=sha256:a6ef530bdc0311d7eaaf9f471455bde3b06d653ada3cefb6f0c96ddcc01ed70c

Observation 524e7daa-ae53-403c-a2b6-6e5b70bb3305 · inbound

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory cites this paper.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 117

Resolution
unresolved
no resolver link, observed 2026-07-14T12:26:27.446079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T12:26:27.446079Z digest=sha256:be5b20d5d7f259c1d8cdcdbd71004295f56ac04b5eb8244e8f47d8e53dc4a8c4

Observation 4293dcac-2054-43fe-88d6-12c7ab958d51 · inbound

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory cites this paper.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 111

Resolution
unresolved
no resolver link, observed 2026-08-02T07:21:35.685776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:21:35.685776Z digest=sha256:ce6c24d088950b9d46d3ef5709b28122c56a836d8e634fe8292055d373e61bf2

Observation 3aceccd6-a001-4db9-a783-847b7ab6a648 · inbound

Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents cites this paper.

Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-02T04:50:36.529145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:50:36.529145Z digest=sha256:7e2088c837ba95ed475d21f45fab0ebd0d43f5f89b564b22680a60e2cd9afd91

Observation 46aa2717-b3dc-4392-98e0-5b19c164f939 · inbound

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents cites this paper.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T20:27:34.709197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:27:34.709197Z digest=sha256:5158c6269cca0d4fb15cc105d7dcc0450f978ca1f207e006841b6289696dc76c

Observation 1a893573-91ec-497e-81f3-5f39a3f69caf · inbound

Mi-Memory: A Lifecycle Memory Framework for Personal AI cites this paper.

Mi-Memory: A Lifecycle Memory Framework for Personal AI MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-01T13:52:28.703023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:52:28.703023Z digest=sha256:517b69763bc021757bdbcc2cd1b049957c480b769eea72335f7a27b4e3c0dff4

Observation 2671bafe-f962-455c-a98f-f538cf22c78b · inbound

LazyMem: Retrieve Broadly, Construct Selectively for Efficient Long-Term Agent Memory cites this paper.

LazyMem: Retrieve Broadly, Construct Selectively for Efficient Long-Term Agent Memory MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T22:02:09.304745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:02:09.304745Z digest=sha256:7645714f93daed2e075b50b7903ee968acae543a9c6c9d7b1cfd8670b1a1aee8

Observation 1955fe08-dfff-491b-b70c-bd1edabf1e95 · inbound

From Execution to Capability: Scientific Experience Consolidation via Procedural Knowledge Synthesis cites this paper.

From Execution to Capability: Scientific Experience Consolidation via Procedural Knowledge Synthesis MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-31T14:26:52.783851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T14:26:52.783851Z digest=sha256:4be13ae998457e68a08b65ecf30ab160ace8f6a0d6a2d5f4436fd91476d0ac79

Observation c31621b1-d508-40a7-9c59-a565a6f3e871 · inbound

SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution cites this paper.

SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-30T21:12:59.449832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T21:12:59.449832Z digest=sha256:ff63fc251eb7eae15ed69bd139d481981400657ee37cbddf17ccf37d0a42fac0

Observation 5c3c93d5-f933-456c-9c21-af8af74b0088 · inbound

ARES: Adaptive Reasoning-Effort Steering for PPA- and Cost-Aware RTL Optimization with LLM Agents cites this paper.

ARES: Adaptive Reasoning-Effort Steering for PPA- and Cost-Aware RTL Optimization with LLM Agents MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-31T23:48:06.472544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:48:06.472544Z digest=sha256:6823157bd5e29d7d239ac3eb34b8456dd8d35a204b22ad5c7a21c27dff8381db

Observation d42845b4-b90e-46aa-b1b5-2dbf86837931 · inbound

AgentStream: How Well Do Self-Evolving LLM Agents Perform Under Streaming Tasks? cites this paper.

AgentStream: How Well Do Self-Evolving LLM Agents Perform Under Streaming Tasks? MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-04T01:12:35.336093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:12:35.336093Z digest=sha256:fb364cf663a2b52cb321e9e5cba908f54c0e0be23ba3d21db0e528d176982c45

Observation 68158858-c01c-445b-b13e-187b67e05b4f · inbound

Rethinking Self-Evolving Agent Skills: Feedback Dynamics over Multiple Rounds cites this paper.

Rethinking Self-Evolving Agent Skills: Feedback Dynamics over Multiple Rounds MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T04:26:29.366925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T04:26:29.366925Z digest=sha256:d0773ec80c2993be925eae0e7358eed49e0ef61e5c33ec0afb8a033d5acb97e7