Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.18070.
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 2026-08-07T12:43:59.201258Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T11:45:41.895796Z
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 12f89bdd-1afb-4192-9724-4d2310ce5011 · inbound
Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation cites this paper.
Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:43:59.201258Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 443cc4b1-0fde-42d1-96f3-1fe20b333c47 · inbound
Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize? cites this paper.
Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize? Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:12:11.672549Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84c6c729-6dbd-4120-960c-7ecfd0f45a3c · inbound
Addressing Benchmarking Gaps in Large Language Models for Health and Medicine with Dynamic Red-Teaming cites this paper.
Addressing Benchmarking Gaps in Large Language Models for Health and Medicine with Dynamic Red-Teaming Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T11:45:41.900933Z
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.