Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.09207.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T06:00:19.884441Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T10:31:01.305171Z
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 c2ffb2b9-bc78-476e-8374-1ec17bff3ab5 · inbound
Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey cites this paper.
Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains
Reference 194
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:00:19.884441Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb182e9c-0fcd-43ce-a09f-3a5eb7dfd384 · inbound
Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation cites this paper.
Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:04:43.648694Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e0539dd-f77f-487c-b25d-af4f5739211c · inbound
VeriTrans: Fine-Tuned LLM-Assisted NL-to-PL Translation via a Deterministic Neuro-Symbolic Pipeline cites this paper.
VeriTrans: Fine-Tuned LLM-Assisted NL-to-PL Translation via a Deterministic Neuro-Symbolic Pipeline P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:31:01.307902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.