Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
S^3cMath: Spontaneous Step-level Self-correction Makes Large Language Models Better Mathematical Reasoners
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.01524.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:22:30.081628Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T10:44:59.589269Z
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 037e6fe3-b929-4ac3-9a00-c258285abf19 · inbound
Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs cites this paper.
Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs S^3cMath: Spontaneous Step-level Self-correction Makes Large Language Models Better Mathematical Reasoners
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:22:30.081628Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2220d358-a814-4ef2-94e9-06802039777d · inbound
UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models cites this paper.
UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models S^3cMath: Spontaneous Step-level Self-correction Makes Large Language Models Better Mathematical Reasoners
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:40:39.876942Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0f3c176-fe1f-4350-a9e6-7ca808dd995d · inbound
Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification cites this paper.
Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification S^3cMath: Spontaneous Step-level Self-correction Makes Large Language Models Better Mathematical Reasoners
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:44:59.593313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.