Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.15645.
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 2026-08-06T17:01:32.769139Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T01:36:24.069981Z
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 96829dcd-89cf-448a-9930-06f478a73287 · inbound
From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.
From System 1 to System 2: A Survey of Reasoning Large Language Models MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree
Reference 134
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.072257Z
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 8333d0fc-1adf-4f41-aa6d-01b180f89777 · inbound
A Survey of Deep Learning for Geometry Problem Solving cites this paper.
A Survey of Deep Learning for Geometry Problem Solving MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:01:32.769139Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d9c8bdf-a42b-4db3-b90f-a95684e72fd2 · inbound
Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models cites this paper.
Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:37:24.916693Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.