Paper Citation Record · LEDGER

ExpeL: LLM Agents Are Experiential Learners

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 38 inbound Pith citation observations for arXiv:2308.10144.

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

pith.paper-citation-record.v1
2308.10144 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 38 of 38 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:40:44.370287Z

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

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

16
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e8a6f1eb-2438-4635-9ef7-6931fd93c83b · inbound

A Survey on Large Language Model based Autonomous Agents cites this paper.

A Survey on Large Language Model based Autonomous Agents ExpeL: LLM Agents Are Experiential Learners

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:03:00.507354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4d9b6c1f-4402-4be8-a375-2133eb251f91 · inbound

The Rise and Potential of Large Language Model Based Agents: A Survey cites this paper.

The Rise and Potential of Large Language Model Based Agents: A Survey ExpeL: LLM Agents Are Experiential Learners

Reference 240

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:47:50.015935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 992317f7-41f6-4d1c-9b95-e237b3131dd8 · inbound

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines cites this paper.

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines ExpeL: LLM Agents Are Experiential Learners

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:57:47.258536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 89f59163-d956-466a-98c0-e9efc87e0d7e · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents ExpeL: LLM Agents Are Experiential Learners

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:21:39.954289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d04d520c-b4ed-4c4c-ad58-19fd2359d3ce · inbound

One STEP at a time: Language Agents are Stepwise Planners cites this paper.

One STEP at a time: Language Agents are Stepwise Planners ExpeL: LLM Agents Are Experiential Learners

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T21:40:44.370287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1456206d-6908-4a10-b83a-b71bfc672459 · inbound

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning cites this paper.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning ExpeL: LLM Agents Are Experiential Learners

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T11:58:35.539357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb58194a-13d6-4a9f-b10d-bdeb77f19042 · inbound

Enabling New HDLs with Agents cites this paper.

Enabling New HDLs with Agents ExpeL: LLM Agents Are Experiential Learners

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T22:50:40.062560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d55ab269-3cb2-41ea-9530-383378e96226 · inbound

SEO: Stochastic Experience Optimization for Large Language Models cites this paper.

SEO: Stochastic Experience Optimization for Large Language Models ExpeL: LLM Agents Are Experiential Learners

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T21:38:56.464098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62e2d4d1-0454-47ae-8f5c-d3124519b783 · inbound

SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPs cites this paper.

SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPs ExpeL: LLM Agents Are Experiential Learners

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T20:11:48.687054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f2f4975-5705-4ea1-82e5-47bdd0a57483 · inbound

Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience cites this paper.

Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience ExpeL: LLM Agents Are Experiential Learners

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T12:02:01.724568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97580a87-a403-498d-87de-ecb24b862cb7 · inbound

LIFELONG SOTOPIA: Evaluating Social Intelligence of Language Agents Over Lifelong Social Interactions cites this paper.

LIFELONG SOTOPIA: Evaluating Social Intelligence of Language Agents Over Lifelong Social Interactions ExpeL: LLM Agents Are Experiential Learners

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:29.311526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6f0c9b8-0de2-4b1b-9017-3f8e8f3ed549 · inbound

Real-Time Procedural Learning From Experience for AI Agents cites this paper.

Real-Time Procedural Learning From Experience for AI Agents ExpeL: LLM Agents Are Experiential Learners

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:24:04.612723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 838d8227-e7be-4e35-9b6e-aa449746d51a · inbound

Harnessing Pre-Resolution Signals for Future Prediction Agents cites this paper.

Harnessing Pre-Resolution Signals for Future Prediction Agents ExpeL: LLM Agents Are Experiential Learners

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:03:25.226079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 06bf56e0-e30a-4b88-ba1f-dc86caafaf07 · inbound

Harnessing Pre-Resolution Signals for Future Prediction Agents cites this paper.

Harnessing Pre-Resolution Signals for Future Prediction Agents ExpeL: LLM Agents Are Experiential Learners

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:00:56.085686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ac8ebb07-7418-4bb2-a2f6-d4cb7353c816 · inbound

Diagnosing LLM-based Rerankers in Cold-Start Recommender Systems: Coverage, Exposure and Practical Mitigations cites this paper.

Diagnosing LLM-based Rerankers in Cold-Start Recommender Systems: Coverage, Exposure and Practical Mitigations ExpeL: LLM Agents Are Experiential Learners

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T05:27:23.178067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7c5b56e5-f43c-4052-a56c-c5366fb2f9bb · inbound

GenericAgent: A Token-Efficient Self-Evolving LLM Agent via Contextual Information Density Maximization (V1.0) cites this paper.

GenericAgent: A Token-Efficient Self-Evolving LLM Agent via Contextual Information Density Maximization (V1.0) ExpeL: LLM Agents Are Experiential Learners

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:56:47.536740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2969ef4d-dcd9-4248-8283-75290df0540a · inbound

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

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications ExpeL: LLM Agents Are Experiential Learners

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:20:57.004141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b837fbe0-dc19-436b-865d-d0bc31785a15 · inbound

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

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications ExpeL: LLM Agents Are Experiential Learners

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:19:15.086066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5b374e7a-1d64-47c1-82c9-973c86684f47 · inbound

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

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications ExpeL: LLM Agents Are Experiential Learners

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:25:07.412726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 43d7329d-d4f6-4d27-ab9a-ed99c65767ac · 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 ExpeL: LLM Agents Are Experiential Learners

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:31:29.168716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c2fee7d6-2e36-4561-bba7-23e903f0e021 · inbound

Swarm Skills: A Portable, Self-Evolving Multi-Agent System Specification for Coordination Engineering cites this paper.

Swarm Skills: A Portable, Self-Evolving Multi-Agent System Specification for Coordination Engineering ExpeL: LLM Agents Are Experiential Learners

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:36:59.377540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f758f05c-103f-4ea2-bfd1-f2cf36a893eb · inbound

Evolving-RL: End-to-End Optimization of Experience-Driven Self-Evolving Capability within Agents cites this paper.

Evolving-RL: End-to-End Optimization of Experience-Driven Self-Evolving Capability within Agents ExpeL: LLM Agents Are Experiential Learners

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:16:22.406968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fcda3db9-b63c-4882-a2ec-902807e71485 · inbound

CONCAT: Consensus- and Confidence-Driven Ad Hoc Teaming for Efficient LLM-Based Multi-Agent Systems cites this paper.

CONCAT: Consensus- and Confidence-Driven Ad Hoc Teaming for Efficient LLM-Based Multi-Agent Systems ExpeL: LLM Agents Are Experiential Learners

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:22:51.774831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d0373b4d-33bc-46f5-b5fa-661db4b293b3 · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models ExpeL: LLM Agents Are Experiential Learners

Reference 102

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:09:36.727634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 42e661ae-2a81-4114-bb30-8d421bd7cf8a · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models ExpeL: LLM Agents Are Experiential Learners

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-02T10:49:09.625770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48efe6d2-a775-42d6-830b-deb95b57da7c · inbound

How Much Coordination Gain Is Real? A Paired Noise-Floor Protocol for Multi-Agent LLM Benchmarks cites this paper.

How Much Coordination Gain Is Real? A Paired Noise-Floor Protocol for Multi-Agent LLM Benchmarks ExpeL: LLM Agents Are Experiential Learners

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-03T18:38:48.842385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c44e3d5e-ec5a-4fcb-8a24-fd8d4f0d6ad9 · inbound

UCOB: Learning to Utilize and Evolve Agentic Skills via Credit-Aware On-Policy Bidirectional Self-Distillation cites this paper.

UCOB: Learning to Utilize and Evolve Agentic Skills via Credit-Aware On-Policy Bidirectional Self-Distillation ExpeL: LLM Agents Are Experiential Learners

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T07:24:22.387903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation af1e11b4-b323-43f2-9045-a26b9c415b08 · inbound

Always-OnAgents:A Survey of Persistent Memory, State, and Governance in LLMAgents cites this paper.

Always-OnAgents:A Survey of Persistent Memory, State, and Governance in LLMAgents ExpeL: LLM Agents Are Experiential Learners

Reference 54

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T15:15:48.326839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e6a13f9c-a7f7-4bed-b11e-aa68a22e7390 · inbound

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents cites this paper.

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents ExpeL: LLM Agents Are Experiential Learners

Reference 153

Resolution: verified exact; local_arxiv, observed 2026-07-10T01:36:44.112946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 474bb21e-f13e-4f2e-aedc-0dcd4c5f77ce · inbound

PhyAgentOS: A Self-Evolving Operating System for Embodied Agents with Decoupled Cognitive Planning and Physical Execution cites this paper.

PhyAgentOS: A Self-Evolving Operating System for Embodied Agents with Decoupled Cognitive Planning and Physical Execution ExpeL: LLM Agents Are Experiential Learners

Reference 133

Resolution: unresolved; no resolver link, observed 2026-08-01T20:28:27.218707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25d64fe8-21ce-4da8-88b1-cc1135ac5cfa · inbound

Knowledge-Centric Self-Improvement cites this paper.

Knowledge-Centric Self-Improvement ExpeL: LLM Agents Are Experiential Learners

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-01T12:21:59.580221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b81ec7f-a62f-4e3a-8cb0-eb1a867cefaa · inbound

Are You Still the Agent I Authorized? Earned Authority under a Fixed Ceiling for Evolving Agents cites this paper.

Are You Still the Agent I Authorized? Earned Authority under a Fixed Ceiling for Evolving Agents ExpeL: LLM Agents Are Experiential Learners

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-30T18:16:44.244426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50742533-34c6-4308-97d1-ec586a451e2e · inbound

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization cites this paper.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization ExpeL: LLM Agents Are Experiential Learners

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-30T15:27:16.670293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf1c6627-5fb7-4218-b0f5-9a8db42105f2 · inbound

Training Skills Like Parameters via Self-Supervised Semantic Diffusion cites this paper.

Training Skills Like Parameters via Self-Supervised Semantic Diffusion ExpeL: LLM Agents Are Experiential Learners

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T05:47:42.489257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df873581-13bd-42d0-b0f1-1a7708472927 · inbound

Harness-R1: Learning to Edit Executable Runtime Harnesses from Agent Failure Trajectories cites this paper.

Harness-R1: Learning to Edit Executable Runtime Harnesses from Agent Failure Trajectories ExpeL: LLM Agents Are Experiential Learners

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T10:10:34.645038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85b28174-c6c6-420f-b297-9b6073eb1e11 · inbound

Field Aware Agent Skill Retrieval cites this paper.

Field Aware Agent Skill Retrieval ExpeL: LLM Agents Are Experiential Learners

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:15.828577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 645db3ed-6b60-45db-aff7-c544391b04e7 · inbound

Self-Evolving Coding Agents cites this paper.

Self-Evolving Coding Agents ExpeL: LLM Agents Are Experiential Learners

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T19:47:58.851161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50961602-703a-4ea7-b08e-e3a2d2feaaa2 · inbound

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

SkillZip: Contract-Preserving Graph Compression for Scalable Agent Skill Libraries ExpeL: LLM Agents Are Experiential Learners

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-08T05:45:36.275481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.