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Paper Citation Record · LEDGER

A Survey on Self-Evolution of Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2404.14387.

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

pith.paper-citation-record.v1
2404.14387 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 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 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:28:23.089533Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:59:47.067283Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a04f8819-226c-4a07-96af-acccee355270 · inbound

Large Language Model-Brained GUI Agents: A Survey cites this paper.

Large Language Model-Brained GUI Agents: A Survey A Survey on Self-Evolution of Large Language Models

Reference 262

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T11:08:27.867642Z

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=2026-05-19T11:08:27.472508Z digest=sha256:7885179c87f4143d46aad03da62b2f20ab82d02d57ef56f60dc8342becf0bb24

Observation 70fdfd3d-505d-474c-a5e4-c203e2f899ba · inbound

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

Truly Self-Improving Agents Require Intrinsic Metacognitive Learning A Survey on Self-Evolution of Large Language Models

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T10:28:23.089533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:28:23.089533Z digest=sha256:455c05d17e040de38e5e20346a682c30fd6b9719b77b957d3865996fd6687874

Observation 6bf691fe-db50-4fee-9b98-96c3a4b4752c · inbound

How Far Can LLMs Improve from Experience? Measuring Test-Time Learning Ability in LLMs with Human Comparison cites this paper.

How Far Can LLMs Improve from Experience? Measuring Test-Time Learning Ability in LLMs with Human Comparison A Survey on Self-Evolution of Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:26.554434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:24:26.554434Z digest=sha256:3c083c8206ec2d151271e1270d527962a42c738bdb63c6f1ca98546d62edc6e5

Observation fa126a35-425e-4f76-8cec-a6a5f853c7a1 · inbound

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality cites this paper.

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality A Survey on Self-Evolution of Large Language Models

Reference 166

Resolution
unresolved
no resolver link, observed 2026-08-05T15:38:54.299701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:38:54.299701Z digest=sha256:ec13f613015ee4743e6835b24f9000dafcdd1131ef52369826d7565145fbeefa

Observation 01aa4e0f-97c6-45a0-87d8-ecb1612155ec · inbound

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey A Survey on Self-Evolution of Large Language Models

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T19:21:48.350622Z

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=2026-05-18T19:19:36.427337Z digest=sha256:587db7a3e8212e8b9eabc6673ad308425cc99959269b97046ce48a5bc86fd952

Observation 5f95c55f-2774-49ba-933d-f5f9b5d35db4 · inbound

DarwinTOD: LLM-driven Lifelong Self-evolution for Task-oriented Dialog Systems cites this paper.

DarwinTOD: LLM-driven Lifelong Self-evolution for Task-oriented Dialog Systems A Survey on Self-Evolution of Large Language Models

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T15:41:04.929274Z

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=2026-05-16T15:38:17.937135Z digest=sha256:e9d8e179d8b02cdf4bb80d793e588901896cfdea1fe30c7693f7989975519b4b

Observation 27260659-981b-42d0-a037-ad7889f154eb · 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 A Survey on Self-Evolution of Large Language Models

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:21:25.898625Z

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=sha256:1fae68c17a1f9ce596b92529ca52cc6c2dae584571623fdfd88c59ce0d70b535

Observation 18c9b0d0-d7e2-498b-b5b8-609a43a144ee · 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 A Survey on Self-Evolution of Large Language Models

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T01:51:14.383661Z

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:b70e64a140aafcc486b8a6b18e08364f897a10184d2b047f7c43cb3d9aea42fc

Observation fc837626-9977-4b8b-a6d1-9c7b4bcfdb3e · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models A Survey on Self-Evolution of Large Language Models

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:21:30.117226Z

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=2026-05-07T06:30:09.945371Z digest=sha256:458a48a4c057b7be1c5eb69a02ac65ed22c2cb37367ef67fb77d75d4e7b5b7ea

Observation d666f2bb-39a4-4862-93d2-ba91b61b99e9 · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models A Survey on Self-Evolution of Large Language Models

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:11:16.605158Z

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=2026-05-08T03:12:19.414358Z digest=sha256:9d521af586d2fdc8be45b9b8373fcf3f7a898b24fae0a19b13d734cf6fbd9f9f

Observation 31ddc614-565a-4e03-9a65-bd239a707156 · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models A Survey on Self-Evolution of Large Language Models

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:02:40.845572Z

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=2026-05-19T16:58:41.558250Z digest=sha256:f82e5e61d863c5f53b9eb0ac14aee8adaaff8ee488bf36d89d2c0912761d8665

Observation 73f7c354-7309-4110-bfb0-f21c8baf3e9d · inbound

G-Zero: Self-Play for Open-Ended Generation from Zero Data cites this paper.

G-Zero: Self-Play for Open-Ended Generation from Zero Data A Survey on Self-Evolution of Large Language Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:11:24.492516Z

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=2026-05-12T03:39:40.780801Z digest=sha256:c6228f6c56645c54461bee6f131b201613b00e6a1015489567e9b84fc8340010

Observation 0f461f18-1d77-483d-82e9-867b30806526 · inbound

More Edits, More Stable: Understanding the Lifelong Normalization in Sequential Model Editing cites this paper.

More Edits, More Stable: Understanding the Lifelong Normalization in Sequential Model Editing A Survey on Self-Evolution of Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-02T14:21:02.174912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:21:02.174912Z digest=sha256:263560f941dc085fb3b5bf4a24adcd5c5eacc6e9c1caa7a3f0e802c1f656b82b

Observation 73234329-ecd5-4752-8430-c2136cdae56a · inbound

Video-Zero: Self-Evolution Video Understanding cites this paper.

Video-Zero: Self-Evolution Video Understanding A Survey on Self-Evolution of Large Language Models

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T21:35:04.389824Z

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=2026-06-30T21:32:16.939563Z digest=sha256:09852344793e83997735b3d12ad72d8bcb9f2f87af8df60e049d03f70cb62125

Observation e30ae842-965b-41cc-87fa-9a37428dc6a3 · inbound

Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution cites this paper.

Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution A Survey on Self-Evolution of Large Language Models

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:32:39.527417Z

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=2026-05-19T16:28:23.113976Z digest=sha256:f0e64f6f0ffd9bbc1beaff95fe3f57ec17cd9108dd4b9d0ba3ab71e7bea418aa

Observation 46e56294-b178-4680-b50a-2d1d8a68b482 · inbound

ACE: Self-Evolving LLM Coding Framework via Adversarial Unit Test Generation and Preference Optimization cites this paper.

ACE: Self-Evolving LLM Coding Framework via Adversarial Unit Test Generation and Preference Optimization A Survey on Self-Evolution of Large Language Models

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T00:59:19.290740Z

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=2026-05-21T00:55:40.784295Z digest=sha256:70d20b10de409320644de5da17bce1073288764d33ac7a424072c384e9626bec

Observation 126d987c-ec2a-4e42-92fe-00ef0acb999b · inbound

ACE: Self-Evolving LLM Coding Framework via Adversarial Unit Test Generation and Preference Optimization cites this paper.

ACE: Self-Evolving LLM Coding Framework via Adversarial Unit Test Generation and Preference Optimization A Survey on Self-Evolution of Large Language Models

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T10:14:47.202763Z

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=2026-05-22T10:14:00.478000Z digest=sha256:ec71d8aa3cbc35ba0f7ea09fa5fb051d716691d34a3097aec4540c0e78c975f3

Observation 93ff6257-d558-4394-85df-c4075bab4e60 · inbound

D$^2$Evo: Dual Difficulty-Aware Self-Evolution for Data-Efficient Reinforcement Learning cites this paper.

D$^2$Evo: Dual Difficulty-Aware Self-Evolution for Data-Efficient Reinforcement Learning A Survey on Self-Evolution of Large Language Models

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:22:45.295786Z

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=2026-05-19T20:21:48.657926Z digest=sha256:caa6439f23b76dc8ebffbab629cab50086c8499373f392ebbc72a6a24a944a3b

Observation 43ec77c3-bf75-49f6-9aa1-455ff8ff24c1 · inbound

SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation cites this paper.

SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation A Survey on Self-Evolution of Large Language Models

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-21T11:24:08.740823Z

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=2026-05-21T11:21:30.867480Z digest=sha256:dda2efa06826488c7a495317c50fd455bd24e9833747b0cd8840d1118de07d4e

Observation 61da0936-50ee-4d01-b592-894f02abaabb · inbound

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate cites this paper.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate A Survey on Self-Evolution of Large Language Models

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:29:34.528489Z

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=2026-05-21T04:27:25.041652Z digest=sha256:d05d5a36dcebd26b9d331855d7669529d789eebf815ee5d705c48cefce690fca

Observation 3a75670e-d49e-482d-a4a0-f0cb6a19a10c · inbound

EvoVid: Temporal-Centric Self-Evolution for Video Large Language Models cites this paper.

EvoVid: Temporal-Centric Self-Evolution for Video Large Language Models A Survey on Self-Evolution of Large Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:21:12.858454Z

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=2026-05-22T07:19:30.508843Z digest=sha256:29b3aee444fb31481b5b90734ef5786c9b7c55797aced101adfab507b201c380

Observation e4042a4b-16b5-421e-b0e4-1f4a87627725 · inbound

PACE: Two-Timescale Self-Evolution for Small Language Model Agents cites this paper.

PACE: Two-Timescale Self-Evolution for Small Language Model Agents A Survey on Self-Evolution of Large Language Models

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:45:23.399829Z

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=2026-05-25T05:45:01.857573Z digest=sha256:45f1dadb022a7423853bbe0af390781699537f5c8b724162d72eff9271f16acd

Observation 9a54aec4-e930-4d1b-a870-0374f0f2b1d2 · inbound

What Am I Missing? Question-Answering as Hidden State Probing cites this paper.

What Am I Missing? Question-Answering as Hidden State Probing A Survey on Self-Evolution of Large Language Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:36:08.891866Z

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=2026-06-28T22:17:50.790267Z digest=sha256:1347f739e3ca2ce43a8db20dfa8f7ca601b42adf16d9da30a69fda9c70aff96b

Observation a3c8f0e7-376a-488a-89ae-ae90e6cf71a0 · inbound

EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning cites this paper.

EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning A Survey on Self-Evolution of Large Language Models

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:56:29.129913Z

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=2026-06-28T10:30:42.057301Z digest=sha256:e3d7dfdfe6eb9677b02c4abff409c9dc3baa3f9fa0cdba6857394ae7e277758d

Observation ceb86cf0-d3a2-49b4-bb8a-88eb9a04b522 · inbound

Rethinking Continual Experience Internalization for Self-Evolving LLM Agents cites this paper.

Rethinking Continual Experience Internalization for Self-Evolving LLM Agents A Survey on Self-Evolution of Large Language Models

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:56:47.771052Z

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=2026-06-28T06:29:11.398007Z digest=sha256:5b571e6bda41dab0df0980820bc0d6e44d23aff29d5eb8a62700717bd175ecc4

Observation cfdd84e1-0ba8-4ac6-8fa7-6aa699e9eb95 · inbound

SkillHone: A Harness for Continual Agent Skill Evolution Through Persistent Decision History cites this paper.

SkillHone: A Harness for Continual Agent Skill Evolution Through Persistent Decision History A Survey on Self-Evolution of Large Language Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:47:26.277763Z

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=2026-06-27T18:37:55.374135Z digest=sha256:734e1a255d006cbb7fddc7a8369b470b730500693be556ddb6ecc44a6642f43c

Observation c52c1081-cb38-472c-a00e-d27e99498c8b · inbound

Trace2Policy: From Expert Behavior Traces to Self-Evolving Decision Agents cites this paper.

Trace2Policy: From Expert Behavior Traces to Self-Evolving Decision Agents A Survey on Self-Evolution of Large Language Models

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T05:27:39.661109Z

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=2026-06-27T13:19:10.714343Z digest=sha256:e1fd57a3273168552c3f92baccbe27568bd961b15eb53376fcd43bc67bd3c803

Observation 7397ef7e-7c9e-43e8-ade7-06d9f5e4ca66 · inbound

Safety in Self-Evolving LLM Agent Systems: Threats, Amplification, and Case Studies cites this paper.

Safety in Self-Evolving LLM Agent Systems: Threats, Amplification, and Case Studies A Survey on Self-Evolution of Large Language Models

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:59:47.068833Z

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=2026-06-26T08:11:30.091859Z digest=sha256:5bc21b00ce5fc9939938897328fc1bbde888c462ed98a5b5bf8f9b191c98212f

Observation a2d29073-494a-47f2-92b9-19a902132e44 · inbound

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution cites this paper.

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution A Survey on Self-Evolution of Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T18:17:12.906376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:17:12.906376Z digest=sha256:c18e22e6da74c725f61901f6633680c3b0ab2f63c4828e362125e198984c3905

Observation 01050069-831c-4d3c-bc99-413d35f3e41b · inbound

Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills cites this paper.

Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills A Survey on Self-Evolution of Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T04:28:48.253415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:28:48.253415Z digest=sha256:8b27c650ad83fb5ef721b5ad0c21fc3d276114a020047288303edb23f0710144