Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AURORA:Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.11520.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:46:44.797312Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T16:41:18.094924Z
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 d3461d8a-0174-4f13-a6fc-b94a0a92ee26 · inbound
Test-Time Scaling with Reflective Generative Model cites this paper.
Test-Time Scaling with Reflective Generative Model AURORA:Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:46:44.797312Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 441af691-9c6f-4d35-b3fc-0d254c6c9a3c · inbound
When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning cites this paper.
When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning AURORA:Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:10:51.888146Z
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 8d5f4644-b4a8-4c8a-985d-92cb1b725027 · inbound
GR-Ben: A General Reasoning Benchmark for Evaluating Process Reward Models cites this paper.
GR-Ben: A General Reasoning Benchmark for Evaluating Process Reward Models AURORA:Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:41:18.098077Z
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.