Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.09430.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:11:09.497498Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T08:40:41.160615Z
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 769640a5-7d32-476f-9b56-3f2f267f584a · inbound
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:40:41.164284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 328f412d-7d85-4ac9-a546-c566e0f45b96 · inbound
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles cites this paper.
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:11:09.497498Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 308019f2-3baa-459e-9fbf-837961cc462a · inbound
Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs cites this paper.
Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning
Reference 43
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T02:46:18.909502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.