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Paper Citation Record · LEDGER

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents

As of 5 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2606.02372.

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

pith.paper-citation-record.v1
2606.02372 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T14:27:50.260308Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

65 of 65 outbound references displayed

  • verified exact14
  • verified fuzzy0
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch19

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 592d88b0-3acc-403c-b217-5aae4e96028a · outbound

This paper cites Advances in neural information processing systems , volume=.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Advances in neural information processing systems , volume=

Reference 1

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:58ff5d6de57cbd10da566f8964be43bb73338bf0d3594013a1d0b60d93d69271

Observation e2708517-8215-45de-86a8-712f342b4e2b · outbound

This paper cites and Le, Quoc V.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents and Le, Quoc V

Reference 2

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:36e55f9228765ba0cfb5120376b211497bbe9ef5280ec4790116307b52f1f710

Observation a3f7b04b-b5d0-4b00-8a39-cd9852e5776e · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer 25 Vision and Pattern Recognition, pp.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents In: Proceedings of the IEEE/CVF Conference on Computer 25 Vision and Pattern Recognition, pp

Reference 3

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arxiv_id, observed 2026-06-28T14:32:17.853200Z

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Observation 56cbebcd-ec7e-4fa7-aac6-04b908ffa7e4 · outbound

This paper cites S cience W orld: Is your Agent Smarter than a 5th Grader?.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents S cience W orld: Is your Agent Smarter than a 5th Grader?

Reference 4

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:798019700ee891a74d123bc846dddacc9aa801db80915889fa5f4229ba859d78

Observation f6ea1aaf-171a-446d-9050-eabb7553d10e · outbound

This paper cites Qwen3 Technical Report.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Qwen3 Technical Report

Reference 5

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local_arxiv, observed 2026-07-01T23:16:24.885748Z

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Observation c31ccf67-891e-4e7a-afdf-985e1829e9fc · outbound

This paper cites Qwen2.5 Technical Report.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Qwen2.5 Technical Report

Reference 6

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local_arxiv, observed 2026-07-01T23:16:24.889022Z

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:e0e2299c77e19d40462f231b533811276c316f474ffbba281be75826e5885e5c

Observation 81c39862-db4d-42ce-a088-26a5d8ba7fc7 · outbound

This paper cites Qwen2 Technical Report.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Qwen2 Technical Report

Reference 7

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local_arxiv, observed 2026-07-01T23:16:24.874924Z

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:b9a25727fdf647adb2bff7e01e489c3756471f0a0765e6aeeec6e40b8a51119c

Observation b3012bef-7146-403b-a358-98f4fd6257b8 · outbound

This paper cites The Llama 3 Herd of Models.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents The Llama 3 Herd of Models

Reference 8

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local_arxiv, observed 2026-07-01T23:16:24.882110Z

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:87ba8660c0994bb36fe72c546ab60efdd56fc5e18ea455da54128d65ad420626

Observation 34b43788-e480-486a-8042-87a9e9222089 · outbound

This paper cites 2023 , html =.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents 2023 , html =

Reference 9

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:4ea9c96cc8b6392c7bc144043604823ec511fd7acc529729e18a8496c97c850d

Observation e959e411-cd87-467b-b02c-d3e2fba3499b · outbound

This paper cites Findings of the.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Findings of the

Reference 10

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:292881e6519a21fbc4ac069053facf4371554f548ca2b1afbe1af6949e013967

Observation 61747218-c581-42d7-bd3f-ff2c8a28ee43 · outbound

This paper cites an unresolved cited work.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:756d5621693a8a76a6df10530511fffd27fb2427cb113f5c95fc27d72febf792

Observation 9e8b46b5-0940-43b1-a369-51116a7cbb17 · outbound

This paper cites Trial and error: Exploration- based trajectory optimization of LLM agents.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Trial and error: Exploration- based trajectory optimization of LLM agents

Reference 12

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:f9da7297848b4d0481e61ee455a5c7772a771f6f498f629ab8d2797223b2dcb9

Observation 76f89884-2c92-4e71-96a6-b2819013c84c · outbound

This paper cites Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement

Reference 13

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:ff95cfb60472e0479b2fd17e24e73ebb701db148bffe685fa5b8c854b0967c78

Observation 24e76ba3-a057-4edd-83b3-d148fec97472 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 14

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:1ba450e077afdd08ffbade7c485cb511c7f190762c098d64ad1d74813326d627

Observation 6d67faee-e2e0-4f25-a2b5-55937607e0a1 · outbound

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

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Advances in Neural Information Processing Systems , volume=

Reference 15

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:933c75dd9c2eff4bc70774c6ccd92f4e3abf6e112e2106c80a69f21f1006c6f9

Observation 80556699-0856-4e16-97f1-bcdab32edf65 · outbound

This paper cites Transactions on Machine Learning Research , year=.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Transactions on Machine Learning Research , year=

Reference 16

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:790beb8f3d9373a6e6dbe6b5ab046aeb7118e709dcca0ba065406cff90351000

Observation 1d4e5f1f-61ed-4f6a-99a4-76290e3ddc4c · outbound

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

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Advances in Neural Information Processing Systems , volume=

Reference 17

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:f30af50e54b03ea33f3709cdaab2746fb01b44367c88a29d6519e08e2ea10999

Observation e2ef6de5-ec84-44d3-9e86-9da299b90348 · outbound

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

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Advances in Neural Information Processing Systems , volume=

Reference 18

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Observation 460e0f56-f602-421b-bbd0-5ef885f55aee · outbound

This paper cites Mastering Diverse Domains through World Models.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Mastering Diverse Domains through World Models

Reference 19

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local_arxiv, observed 2026-07-01T23:16:24.856641Z

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:acf57f4518755885159756bbf51f94b1709b19fdf48d9497e804458e1368523e

Observation 29539f76-ee65-4b07-8fbd-fd314f3be267 · outbound

This paper cites ISBN 979-8-89176-251-0.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents ISBN 979-8-89176-251-0

Reference 20

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:2354215fe2114b8f786cbd4450ffc78c400b053edae1f0d8c5ccaf1f64891572

Observation 8685ffdc-48ce-404d-ba8c-3ba9f6bac4a3 · outbound

This paper cites Reasoning with language model is planning with world model.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Reasoning with language model is planning with world model

Reference 21

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Observation a96fa9bf-5fb8-4039-a50c-ed2461d2aafe · outbound

This paper cites 2, 2022-06-27 , author=.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents 2, 2022-06-27 , author=

Reference 22

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:a40c619827728a34c851fade0cbac64f10576304aabe474527d6e8d15e935de1

Observation 830b7493-9093-430f-9d56-a1602f1a5c68 · outbound

This paper cites Embodied AI Agents: Modeling the World.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Embodied AI Agents: Modeling the World

Reference 23

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:ff567ea05c0b6e127f39d63e38c62c8f031b47564798bf7f477fc065e61bbee8

Observation e93e7c95-1494-4d24-aac0-35532659fb6e · outbound

This paper cites W eb E volver: Enhancing Web Agent Self-Improvement with Co-evolving World Model.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents W eb E volver: Enhancing Web Agent Self-Improvement with Co-evolving World Model

Reference 24

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:99bcb24120fc8d97f45d2efdea14163c0c856c2bd98ab48b549c4e2b9a5b11d9

Observation 37c3835c-7587-45f3-b4da-08b33bfee284 · outbound

This paper cites Agent Learning via Early Experience.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Agent Learning via Early Experience

Reference 25

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Observation 6ffe42a3-820f-485c-a9f8-b0608593b4bd · outbound

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

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Advances in Neural Information Processing Systems , volume=

Reference 26

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:fdbce7c29db78ba9e6aa4f98fcbe6062ec62edd2db5808d87b2864038f6410ee

Observation e6e95a7e-df0a-44d1-a0be-01d2414379c6 · outbound

This paper cites E ^2 CL : Exploration-based Error Correction Learning for Embodied Agents.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents E ^2 CL : Exploration-based Error Correction Learning for Embodied Agents

Reference 27

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:5cdde7803e08cf8e80776f08d9d3697cfbc2cd0f325b42018f144b2e35fb540f

Observation bda9057a-d22a-4ea4-89e3-4d7bccc8db14 · outbound

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

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Advances in Neural Information Processing Systems , volume=

Reference 28

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:085101f9de21e24fba36665d9001401e79387adcb00a867d009d48e4eec59be2

Observation adea2fd2-ffa8-4e3b-9c14-dc222fb0d06d · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 29

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:e2ab38ebc30986501eb81c3ca7418a03b3eed7c37276395f9ea2a73c88dbbabe

Observation ee5d262d-73fd-4866-bd57-3d963b4fdbbf · outbound

This paper cites Internalizing world models via self-play finetuning for agentic RL.arXiv preprint arXiv:2510.15047.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Internalizing world models via self-play finetuning for agentic RL.arXiv preprint arXiv:2510.15047

Reference 30

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arxiv_id, observed 2026-07-01T23:16:24.868517Z

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Observation 6bce61e4-efcb-428d-8a2f-8ace363db322 · outbound

This paper cites World-in-world: World models in a closed-loop world.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents World-in-world: World models in a closed-loop world

Reference 31

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arxiv_id, observed 2026-07-01T23:16:24.871814Z

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:7f1955ff64bb82b19ebf86a1a9f7353ef11dbda39d79e6c06bf25f5b05b3ab0e

Observation 4f488945-d088-42b9-b7a9-1e91eeb1e0f5 · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 32

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:6a900d81f30441e79b029abc4f39b1bb3e51f19cb9f275587ec47201b104b5c6

Observation 3df2bf17-b51b-48ea-8eae-24aae8f8a73a · outbound

This paper cites Journal of Mathematical Analysis and Applications , volume=.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Journal of Mathematical Analysis and Applications , volume=

Reference 33

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:976040c9b9cfa961239855886cbef71d70b014affc925b7b6dc08f58e0a27e68

Observation ab2e037c-6af1-4670-ad6a-2f084ca6cb25 · outbound

This paper cites Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training

Reference 34

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arxiv_id, observed 2026-07-01T23:16:24.851089Z

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:8f0c670617e2e9d7e2263144d5b904893c7bb4a15d27ff6959c1a39082cf3b0f

Observation ded509ee-ecd0-4801-82d9-129a6c15c27c · outbound

This paper cites The Thirteenth International Conference on Learning Representations (ICLR) , year=.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents The Thirteenth International Conference on Learning Representations (ICLR) , year=

Reference 35

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:e8dba4093750315a77fc32a2538f1fd35770ce247d8ebcd35a021cd2eff91cd1

Observation 239a0512-cfea-446f-8ea5-34574b876e54 · outbound

This paper cites DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 36

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local_arxiv, observed 2026-07-01T23:16:24.842873Z

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source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:6f00825bfd925c1fed6870fea748c9a684245e20a22abb6361af13a9588dcb7c

Observation ef8abba5-6985-4d21-b199-954b308dd272 · outbound

This paper cites hallucinations.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents hallucinations

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T23:16:24.859557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:4db3ef5e7b6cf3a14d3588eb23d1c7621b924a6ec21060fadb94ff77d602328d

Observation 418615d7-b5c6-4671-964d-74f49596931f · outbound

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

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Advances in Neural Information Processing Systems , volume =

Reference 38

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unresolved
no resolver link, observed 2026-06-28T14:27:50.260308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:d8952397e7c1d81500260a00d2f0aeb3f0d69bc0a1ae4c426750a844464e6625

Observation 642dd4a5-8929-4403-9a2e-6a19deb4134d · outbound

This paper cites Group-in-Group Policy Optimization for LLM Agent Training.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Group-in-Group Policy Optimization for LLM Agent Training

Reference 39

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T23:16:24.845582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:79910f988020abdf98b1d02c74c052bb087b97e6df9bbf51f38c9ec926a4c4c8

Observation c73e13c1-8c37-46c2-acd5-04a4f3a70e37 · outbound

This paper cites SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Reference 40

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metadata mismatch
arxiv_id, observed 2026-07-01T23:16:24.853779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:c5b21cb39092c0c5adeb05db16b676dd3ce86d737c806bea67754d40d8111066

Observation eff3736e-ae54-4ce2-9dca-f4f085091c60 · outbound

This paper cites International conference on machine learning , pages=.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents International conference on machine learning , pages=

Reference 41

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unresolved
no resolver link, observed 2026-06-28T14:27:50.260308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:7100ed16814dd198272cf35b15af0df753c50cbf8e3da5cfbe601f9bffbab4ea

Observation 64d64355-8c2a-4094-8ea1-bf6143d4dfe2 · outbound

This paper cites FireAct: Toward Language Agent Fine-tuning.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents FireAct: Toward Language Agent Fine-tuning

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T23:16:24.848399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:6574b1759e4de71745ea6fed8f2aa0afef987e9deb9e82312bf39fcee77b1ff9

Observation 625a65c8-2f51-4e77-ba78-cc73bcefeacd · outbound

This paper cites StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models , booktitle =.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models , booktitle =

Reference 43

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verified exact
doi, observed 2026-06-28T14:32:17.861904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:221c62e1b89c9269d40c0bfb406dbc9eebb7e3453aa83891beee78cf065ee43c

Observation 2dd16153-accb-4bfe-9bc9-63e83269880a · outbound

This paper cites Griffiths and Yuan Cao and Karthik Narasimhan , title =.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Griffiths and Yuan Cao and Karthik Narasimhan , title =

Reference 44

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unresolved
no resolver link, observed 2026-06-28T14:27:50.260308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:1131d105ecaf22b3f8abf42dae1eb15fca1208bb71cd74f8ca4179919d496546

Observation 6f6dc489-95de-46e5-b53d-6b06669df510 · outbound

This paper cites Bandit Based Monte- Carlo Planning.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Bandit Based Monte- Carlo Planning

Reference 45

Resolution
verified exact
doi, observed 2026-06-28T14:32:17.872057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:60a54f665b574db001c33f2491fc680902fb199e8934aa82c5a2501c2cfcc479

Observation da0cc049-1ff4-40c0-8b1a-9ad8a0a362e6 · outbound

This paper cites arXiv preprint arXiv:2601.08955 , year =.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents arXiv preprint arXiv:2601.08955 , year =

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:16:24.878695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:a52c8a757ed6a9b90accbaa3e95a666865915752987419bb3b5cc118e18564fd

Observation c8174acc-f1b2-40b3-8cee-678fb32361f0 · outbound

This paper cites 2025 , eprint=.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents 2025 , eprint=

Reference 47

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unresolved
no resolver link, observed 2026-06-28T14:27:50.260308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:9d573531e88a237ac3234dba12b68f1f4e25a42ca50153b87f3fb04017a44447

Observation ca082848-306b-4948-a8e3-40ffde446fac · outbound

This paper cites Frontiers of Computer Science , volume=.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Frontiers of Computer Science , volume=

Reference 48

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unresolved
no resolver link, observed 2026-06-28T14:27:50.260308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:bce9688938b3d53c03d06ed589f3ecd040f116492a78512323659b04904d4023

Observation ee50a5c9-e90c-488d-97e6-8b0b60454394 · outbound

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

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Advances in Neural Information Processing Systems , volume=

Reference 49

Resolution
unresolved
no resolver link, observed 2026-06-28T14:27:50.260308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:af0f3a653b529fdaccb521d41aeac6d68205c2e57a69d82841a6f3d539c11b35

Observation 53f7c989-0603-4141-a2ba-7a0440c09163 · outbound

This paper cites International Conference on Learning Representations , volume=.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents International Conference on Learning Representations , volume=

Reference 50

Resolution
unresolved
no resolver link, observed 2026-06-28T14:27:50.260308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:2faf018497e13a4eb0ccd49d6b779eaae793d7d5ff3f5f78dee933743d23d4e7

Observation e76a7ce8-c029-43be-b855-457ceff6a965 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=

Reference 51

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no resolver link, observed 2026-06-28T14:27:50.260308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:0b3fb7350f7312d7a37bf7b54303292d8cc9fd080c2157e7f9228237520546ee

Observation a8d46c1d-88fc-4e30-8777-e670b6df16aa · outbound

This paper cites 2026 , month = mar, day =.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents 2026 , month = mar, day =

Reference 52

Resolution
unresolved
no resolver link, observed 2026-06-28T14:27:50.260308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:38d9aa18c434338f60c61d71e84964a138dd5d55ec03b94154646b969c378022

Observation 1260d566-e990-490e-9897-6634ab23bf9d · outbound

This paper cites A Survey of On-Policy Distillation for Large Language Models.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents A Survey of On-Policy Distillation for Large Language Models

Reference 53

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T23:16:24.903694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:1c593891657970f9a0ca42d8d0cd073d8c958138dc95a7d0bc9535a451e381bb

Observation 134dd40d-0854-45d9-9c30-4fe8c5aa5f2a · outbound

This paper cites arXiv preprint arXiv:2602.10885 , year=.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents arXiv preprint arXiv:2602.10885 , year=

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:16:24.906998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:9de7466d53c3e0e936d2b9570bec1ced33dec393aa2b6132341a8b6b67601ef6

Observation 1c64029c-b124-4b93-9742-f31c39b30054 · outbound

This paper cites 2026 , howpublished =.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents 2026 , howpublished =

Reference 55

Resolution
unresolved
no resolver link, observed 2026-06-28T14:27:50.260308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:c887f06fc9fb2e9ba9d2c983bd924f1478e5ce51d3e6ef8e5c3197e498bceddf

Observation 842e1d8d-6e7e-4e85-9364-66442eb21dc5 · outbound

This paper cites CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization

Reference 56

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T23:16:24.910742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:db08c0e4aa63ba015f164e0ea23caa6341f084b8fee729fbdcfd186457b03516

Observation 4b3626f4-db2c-4000-b3a3-abff3d4c29e6 · outbound

This paper cites 2024 , eprint =.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents 2024 , eprint =

Reference 57

Resolution
unresolved
no resolver link, observed 2026-06-28T14:27:50.260308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:dd163ec12641eaccc0ef8362237d6f427ecb10b28e0273ca67d2eafae364aee6

Observation cde52fbb-e5c7-4822-9c73-a604b322cb8c · outbound

This paper cites AgentGym: Evolving Large Language Model-based Agents across Diverse Environments.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents AgentGym: Evolving Large Language Model-based Agents across Diverse Environments

Reference 58

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T23:16:24.914814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:8c4339ba32bc58a5b4cc516dc048a5cfc9cf8f3c07122256acc49a843568c5a0

Observation a04e9254-d709-44fc-bc2e-66ba83586acf · outbound

This paper cites SELF: Self-Evolution with Language Feedback.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents SELF: Self-Evolution with Language Feedback

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:16:24.900057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:0e0fbc11bfa80af3fa7fb26d3d03ecf897c5f6f4e164a24fd8161c2d89485588

Observation 7409ce49-bf73-4342-9170-66705b31eca7 · outbound

This paper cites 2024 , eprint =.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents 2024 , eprint =

Reference 60

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unresolved
no resolver link, observed 2026-06-28T14:27:50.260308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:babadd3a1aafe316c1e6f230cf2b42692368a1d85dc87bc2fb5097ff602b772c

Observation dd04e19f-f12b-458a-b4b2-618323de6f0c · outbound

This paper cites 2024 , eprint =.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents 2024 , eprint =

Reference 61

Resolution
unresolved
no resolver link, observed 2026-06-28T14:27:50.260308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:930eacdad3bf0856000d8ad41143744581d13b2a4cb49b101bef8b4b67d4fa66

Observation e0f900a0-fbf9-4533-9fd8-babfa197f933 · outbound

This paper cites 2025 , url =.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents 2025 , url =

Reference 62

Resolution
unresolved
no resolver link, observed 2026-06-28T14:27:50.260308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:8ca95e5639abe9a10d6ad104798ce12312eb4081e9503795f5c4bb065f68ac4e

Observation 8be31f00-38eb-4e04-8fcc-f70852be83f7 · outbound

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

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Co-Evolving LLM Decision and Skill Bank Agents for Long-Horizon Tasks

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-07-01T23:16:24.896057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:c44a3d58cb5a214316f7ee0b646c3672742e782e12add95c560571c5b526a252

Observation 4dd31286-d32b-4f58-a848-5cc4b2eba807 · outbound

This paper cites AEL: Agent Evolving Learning for Open-Ended Environments.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents AEL: Agent Evolving Learning for Open-Ended Environments

Reference 64

Resolution
verified exact
local_arxiv, observed 2026-07-01T23:16:24.892608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:5e7a53a72eb2ac0160700f46c6f6ed2355df808faaf07ce168c2b18f8194a7bf

Observation 5199b4ae-9019-4757-879f-eabd9d4c2485 · outbound

This paper cites 2021 , url =.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents 2021 , url =

Reference 65

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unresolved
no resolver link, observed 2026-06-28T14:27:50.260308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T14:27:50.260308Z digest=sha256:5e76cea74f3a6142f92658d468a8447c6e8c857381210314be9294fc07695dff

Pith citing papers

No inbound Pith citation observations are available.