Paper Citation Record · LEDGER

An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical Reasoning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.02382.

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

pith.paper-citation-record.v1
2503.02382 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T03:01:41.653988Z

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

0
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 6384c430-559b-40ec-b5c6-3138d9824478 · inbound

Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper Reasoning cites this paper.

Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper Reasoning An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical Reasoning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-18T07:21:04.401137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 88bb40ad-7ed1-4801-8813-cee20273a3a0 · inbound

LLM Reasoning with Process Rewards for Outcome-Guided Steps cites this paper.

LLM Reasoning with Process Rewards for Outcome-Guided Steps An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical Reasoning

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:47:28.419331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 97bc4bfb-ff1c-4138-82a6-6dec922afe40 · inbound

Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards cites this paper.

Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical Reasoning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T04:45:21.116929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b007d93f-ecba-42dc-810f-f22a70946847 · inbound

Deep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning Models cites this paper.

Deep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning Models An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical Reasoning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:41.653988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.