Paper Citation Record · LEDGER

WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2504.21024.

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

pith.paper-citation-record.v1
2504.21024 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T21:44:39.693932Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:50:00.061649Z

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 7cd13fa8-4588-415e-81fc-09a30a6f928f · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model

Reference 157

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T22:23:14.896496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dd83194e-372c-4cd1-82d5-e0c46d76f3eb · inbound

Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training cites this paper.

Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-19T01:51:57.887846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 29863840-4138-4c51-ad4f-81a397948b48 · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model

Reference 212

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:13:15.520182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b96ad2a7-3a35-4532-953a-5050d2e65b44 · inbound

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification cites this paper.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:30:53.875593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4ca4deea-4300-4ba2-ac59-e25f7d229d7e · inbound

SEVerA: Verified Synthesis of Self-Evolving Agents cites this paper.

SEVerA: Verified Synthesis of Self-Evolving Agents WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:38:23.507731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 112e82ec-4649-46d1-bbc9-c81e6ce1c8d7 · inbound

Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration cites this paper.

Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:10:23.463113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4f088bea-a9aa-4858-ba72-795aa2a8786c · inbound

SciResearcher: Scaling Deep Research Agents for Frontier Scientific Reasoning cites this paper.

SciResearcher: Scaling Deep Research Agents for Frontier Scientific Reasoning WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:01:08.270625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5245d822-16be-4780-8b83-1fdb40b15c8a · inbound

LaGO: Latent Action Guidance for Online Reinforcement Learning cites this paper.

LaGO: Latent Action Guidance for Online Reinforcement Learning WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:50:00.063521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8f322953-fd75-459a-afff-eda8b7eee4f3 · inbound

Internalizing the Future: A Unified Agentic Training Paradigm for World Model Planning cites this paper.

Internalizing the Future: A Unified Agentic Training Paradigm for World Model Planning WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:35:58.505441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 53c918da-4385-4142-8181-dcf78676b305 · inbound

TAPO: Transition-Aware Policy Optimization for LLM Agents cites this paper.

TAPO: Transition-Aware Policy Optimization for LLM Agents WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-31T21:44:39.693932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.