Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CoPS: Empowering LLM Agents with Provable Cross-Task Experience Sharing
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.16670.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:55:05.375408Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, 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
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 8c0eeca8-6703-4643-aacd-fdc1955a67d2 · inbound
Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning cites this paper.
Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning CoPS: Empowering LLM Agents with Provable Cross-Task Experience Sharing
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:55:05.375408Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91a393d2-b1c4-477c-9963-459c5c650696 · inbound
DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer cites this paper.
DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer CoPS: Empowering LLM Agents with Provable Cross-Task Experience Sharing
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:43:52.171189Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06a64e55-024e-4eba-9d30-e7be6581cb19 · 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 CoPS: Empowering LLM Agents with Provable Cross-Task Experience Sharing
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:16:25.026107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 75c09362-5cd6-498d-8b79-54f2d7fb4b26 · inbound
Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application cites this paper.
Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application CoPS: Empowering LLM Agents with Provable Cross-Task Experience Sharing
Reference 217
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T09:50:48.543365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9beedd91-32ba-4879-8c61-8faca9677c77 · inbound
Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning cites this paper.
Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning CoPS: Empowering LLM Agents with Provable Cross-Task Experience Sharing
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T17:20:00.001136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.