Paper Citation Record · LEDGER

CoPS: Empowering LLM Agents with Provable Cross-Task Experience Sharing

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.16670.

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

pith.paper-citation-record.v1
2410.16670 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:11:46.562196Z

measured 1 of 1 external citation measurements

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 c6557637-c5ff-4491-9f99-ee93eee4422a · inbound

LoRA-LiteE: A Computationally Efficient Framework for Chatbot Preference-Tuning cites this paper.

LoRA-LiteE: A Computationally Efficient Framework for Chatbot Preference-Tuning CoPS: Empowering LLM Agents with Provable Cross-Task Experience Sharing

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T20:11:46.562196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.