Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.01729.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:02:21.710305Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T19:32:01.243236Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 527e699f-e68b-4a74-bf15-f56c990431a8 · inbound
Reinforcement Learning from Human Feedback Evaluating Robustness of Reward Models for Mathematical Reasoning
Reference 95
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation dfcd7e52-6435-4ceb-b019-e2edd2d07cb4 · inbound
RewardBench 2: Advancing Reward Model Evaluation Evaluating Robustness of Reward Models for Mathematical Reasoning
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f0871de8-dcc8-40d7-b89e-cd471039a507 · inbound
Can External Validation Tools Improve Annotation Quality for LLM-as-a-Judge? Evaluating Robustness of Reward Models for Mathematical Reasoning
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3e5fcea-855f-4fac-a5a7-a27e2495786e · inbound
Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation Evaluating Robustness of Reward Models for Mathematical Reasoning
Reference 52
Source-reported events for the cited work
Unavailable: canonical work link unavailable.