Paper Citation Record · LEDGER

Process Reward Models for LLM Agents: Practical Framework and Directions

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2502.10325.

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

pith.paper-citation-record.v1
2502.10325 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 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 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:55:00.569399Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:40:07.852377Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 f95ff518-c0a2-4cf2-ba9b-6f309bdde87b · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 137

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:40:42.043925Z

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.

Observation 46e7171b-ec46-4bee-b76d-f05f0060db78 · inbound

Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning cites this paper.

Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:00.569399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b677e12-6bf5-45d4-a241-5e8c246a3fcc · inbound

A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement cites this paper.

A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:30:46.105396Z

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.

Observation e9162390-ac2b-46fe-8592-48cd973764e3 · 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 Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 235

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T22:23:15.209112Z

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.

Observation 4baf07d6-19cf-4135-a5b3-e240d8b1c703 · inbound

Encouraging Good Processes Without the Need for Good Answers: Reinforcement Learning for LLM Agent Planning cites this paper.

Encouraging Good Processes Without the Need for Good Answers: Reinforcement Learning for LLM Agent Planning Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T15:44:14.788155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef0ee11a-e246-440f-8cbe-5c3556f6446b · inbound

Reinforcement Learning for Machine Learning Engineering Agents cites this paper.

Reinforcement Learning for Machine Learning Engineering Agents Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T12:24:02.368310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4d0eb90-6505-4219-a8fb-e67540e346a8 · inbound

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

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 268

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:21:48.656981Z

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.

Observation 69ce9a63-a132-439c-b4ef-6b5382d7eb0c · inbound

MASPRM: Multi-Agent System Process Reward Model cites this paper.

MASPRM: Multi-Agent System Process Reward Model Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T07:56:46.023170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c44698b-6b8a-4b98-94a4-386534cb4aa6 · inbound

Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation cites this paper.

Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T03:04:43.473321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 735e5750-b183-46b6-acf9-150fa5b7b843 · inbound

ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning cites this paper.

ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:41:38.272747Z

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.

Observation 76ecb7bf-6c00-4e45-b94c-db02d10d2c44 · inbound

A$^2$TGPO: Agentic Turn-Group Policy Optimization with Adaptive Turn-level Clipping cites this paper.

A$^2$TGPO: Agentic Turn-Group Policy Optimization with Adaptive Turn-level Clipping Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:56:08.764793Z

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.

Observation d1017cb9-f713-412d-af1d-b9b8e08afcd1 · inbound

TRACER: Verifiable Generative Provenance for Multimodal Tool-Using Agents cites this paper.

TRACER: Verifiable Generative Provenance for Multimodal Tool-Using Agents Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:11:26.376883Z

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.

Observation ab9ed4e5-0ccb-48b8-8d12-bc2b2b370c58 · inbound

Internalizing Curriculum Judgment for LLM Reinforcement Fine-Tuning cites this paper.

Internalizing Curriculum Judgment for LLM Reinforcement Fine-Tuning Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:22:06.790866Z

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.

Observation 64ff4a60-ed75-4796-8d76-ca22865b8c53 · inbound

StainFlow: Entity-Stain Tracking and Evidence Linking for Process Rewards in GUI Agents cites this paper.

StainFlow: Entity-Stain Tracking and Evidence Linking for Process Rewards in GUI Agents Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:47:09.644058Z

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.

Observation 750b729d-0b41-4b49-85f6-316fd64d974a · inbound

Self-evolving LLM agents with in-distribution Optimization cites this paper.

Self-evolving LLM agents with in-distribution Optimization Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:57:09.563002Z

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.

Observation ab4bda4e-7106-4530-bc4d-d072e9e97af4 · inbound

ARCO: Adaptive Rubrics with Co-Evolution for Multi-Step LLM-Based Agents cites this paper.

ARCO: Adaptive Rubrics with Co-Evolution for Multi-Step LLM-Based Agents Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:38.638684Z

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.

Observation 2811bb84-3870-4bee-964b-335b758adde9 · inbound

ARCO: Adaptive Rubrics with Co-Evolution for Multi-Step LLM-Based Agents cites this paper.

ARCO: Adaptive Rubrics with Co-Evolution for Multi-Step LLM-Based Agents Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-02T10:43:52.874792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24e18af3-2760-4054-af69-5b4f913f1edf · inbound

Calibration Is Not Control: Why LLM-Agent Oversight Needs Intervention cites this paper.

Calibration Is Not Control: Why LLM-Agent Oversight Needs Intervention Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:29:37.873379Z

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.

Observation 1dbb1f91-93d6-4b4a-a8a2-d9717bde3001 · inbound

Learning Process Rewards via Success Visitation Matching for Efficient RL cites this paper.

Learning Process Rewards via Success Visitation Matching for Efficient RL Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:44.572615Z

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.

Observation 63338ea6-52ae-41cc-a02b-f373b9e1161b · inbound

Semantic Consistency Policy Optimization for Reinforcement Learning of LLM Agents cites this paper.

Semantic Consistency Policy Optimization for Reinforcement Learning of LLM Agents Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:20:07.668163Z

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.

Observation 4694c7c6-38ac-4a83-aab6-7911e90eeabb · inbound

Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents cites this paper.

Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:40:07.853911Z

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.

Observation c7939e92-aad6-47c9-bf80-6d2e901c8b1c · inbound

ECHO: Learning Epistemically Adaptive Language Agents with Turn-Level Credit cites this paper.

ECHO: Learning Epistemically Adaptive Language Agents with Turn-Level Credit Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:44:56.609798Z

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.

Observation fd198367-8d74-4d80-8bef-178f768b551c · inbound

A Diagnostic Framework for AI Agent Behavior cites this paper.

A Diagnostic Framework for AI Agent Behavior Process Reward Models for LLM Agents: Practical Framework and Directions

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T18:53:08.965286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.