Paper Citation Record · LEDGER

Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2402.08955.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.08955 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:07:59.563615Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T05:59:38.270465Z

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 a19c9ca0-dffa-426b-860f-72a5250e766f · inbound

Aligning Generalisation Between Humans and Machines cites this paper.

Aligning Generalisation Between Humans and Machines Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-12T14:07:59.563615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 002eb55e-b52d-4927-a40b-d006a2f80afc · inbound

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future cites this paper.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models

Reference 299

Resolution: unresolved; no resolver link, observed 2026-08-11T12:33:42.292706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 513361fa-b65d-400b-8151-0fa322648acb · inbound

Understanding and Benchmarking Artificial Intelligence: OpenAI's o3 Is Not AGI cites this paper.

Understanding and Benchmarking Artificial Intelligence: OpenAI's o3 Is Not AGI Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T20:46:08.981521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e039aa87-54b4-4974-83c4-ca302c732830 · inbound

LLM world models are mental: Output layer evidence of brittle world model use in LLM mechanical reasoning cites this paper.

LLM world models are mental: Output layer evidence of brittle world model use in LLM mechanical reasoning Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:48.102882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 417748e8-eeec-412e-b22f-df29523c82ad · inbound

Empowerment Gain and Causal Model Construction: Children and adults are sensitive to controllability and variability in their causal interventions cites this paper.

Empowerment Gain and Causal Model Construction: Children and adults are sensitive to controllability and variability in their causal interventions Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:58:46.505084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bf86faa3-a84f-4897-a5d3-1ff0c1c39c1e · inbound

Structural Ranking of the Cognitive Plausibility of Computational Models of Analogy and Metaphors with the Minimal Cognitive Grid cites this paper.

Structural Ranking of the Cognitive Plausibility of Computational Models of Analogy and Metaphors with the Minimal Cognitive Grid Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models

Reference 163

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:56:06.176187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cf05ad55-0c40-47a2-9568-919ae3e28707 · inbound

Normative Robustness as a Frontier for Non-Verifiable Reasoning in LLMs cites this paper.

Normative Robustness as a Frontier for Non-Verifiable Reasoning in LLMs Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models

Reference 108

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:48:02.384790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0808d723-8791-4375-8c55-b8f494acf3c3 · inbound

Reasoning as Pattern Matching: Shared Mechanisms in Human and LLM Everyday Reasoning cites this paper.

Reasoning as Pattern Matching: Shared Mechanisms in Human and LLM Everyday Reasoning Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T15:08:32.687487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 577a4043-c84a-472d-afbf-0c85fe0bb1cf · inbound

The Metanym Game: A Self-Contained, Self-Consistent LLM Peer-Community Benchmark for Structural Intelligence cites this paper.

The Metanym Game: A Self-Contained, Self-Consistent LLM Peer-Community Benchmark for Structural Intelligence Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:59:38.272575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 877dc7f4-c4d5-4ffc-a7eb-e39b5216394e · inbound

The Metanym Game: A Self-Contained, Self-Consistent LLM Peer-Community Benchmark for Structural Intelligence cites this paper.

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T00:18:36.280403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.