Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2401.00757.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:33:47.286005Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T22:36:26.729334Z
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 3f93f98d-05f0-43ee-9e88-30e24ee0a716 · inbound
Learning Elementary Cellular Automata with Transformers cites this paper.
Learning Elementary Cellular Automata with Transformers LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:27:33.538092Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2c851b4-0bf9-494b-8d79-e9beed6a6559 · inbound
On the Reasoning Capacity of AI Models and How to Quantify It cites this paper.
On the Reasoning Capacity of AI Models and How to Quantify It LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:38:37.537068Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23df2544-d893-428b-9748-872a6c8867f9 · inbound
Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction cites this paper.
Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T06:01:19.828140Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0379d31f-8c7b-4585-8f26-ebec89c3a54b · inbound
VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models cites this paper.
VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:33:47.286005Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f164bf5-6f56-4ca9-8c72-3483d5e86bb7 · inbound
Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans cites this paper.
Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:00:59.171247Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7295428-f7aa-4720-8b45-9f1a92d1ba0b · inbound
Propositional Logic for Probing Generalization in Neural Networks cites this paper.
Propositional Logic for Probing Generalization in Neural Networks LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:08:59.362108Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24762c14-0475-4b2b-b180-0298dac30bd5 · inbound
StepProof: Step-by-step verification of natural language mathematical proofs cites this paper.
StepProof: Step-by-step verification of natural language mathematical proofs LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:29:41.363509Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cff4a57-7301-474b-a63d-e519592cac06 · inbound
Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? cites this paper.
Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models
Reference 62
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T22:36:26.792967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.