Pith. sign in

Paper Citation Record · LEDGER

Do Large Language Models Understand Logic or Just Mimick Context?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.12091.

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

pith.paper-citation-record.v1
2402.12091 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:46:09.067079Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f05d7be7-ddd1-48fb-9a4f-78f781e58714 · 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 Do Large Language Models Understand Logic or Just Mimick Context?

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:09.067079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:09.067079Z digest=sha256:4cc4a6a6f32d600e99b76165e0d9a5979890effde2e4e1db442d91c1847e9e9c

Observation e88a2499-5c1f-4e82-82ba-8932c8579b56 · inbound

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning cites this paper.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning Do Large Language Models Understand Logic or Just Mimick Context?

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T16:38:53.109204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:38:53.109204Z digest=sha256:ca7f8d0fea4e2d9a4cc04e887d548df7fb9c0ab139ddb54ea279dfa48deada09

Observation 4e0d78eb-656f-4ab4-8254-d99392e4d803 · inbound

StepProof: Step-by-step verification of natural language mathematical proofs cites this paper.

StepProof: Step-by-step verification of natural language mathematical proofs Do Large Language Models Understand Logic or Just Mimick Context?

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T04:29:41.237959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:41.237959Z digest=sha256:063fd3690a1ea0bae0ff73c6dcba26ea5eeab3c07a4cf98bb170e0f2c35696d7

Observation 8e12c932-136c-47dc-89ef-4d4cd7008f4a · inbound

Early-Stage Product Line Validation Using LLMs: A Study on Semi-Formal Blueprint Analysis cites this paper.

Early-Stage Product Line Validation Using LLMs: A Study on Semi-Formal Blueprint Analysis Do Large Language Models Understand Logic or Just Mimick Context?

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-10T00:04:46.525746Z

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.

source=pdf_text observed=2026-05-09T23:59:56.509260Z digest=sha256:e5cf59fa6c1a18a464128c5ff0bc1ab48688d6809d0c2fa7a37eabdb17bd69e5

Observation e770acf1-7a36-46d8-8e88-b81013eb5c6b · inbound

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination cites this paper.

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination Do Large Language Models Understand Logic or Just Mimick Context?

Reference 134

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:57:23.861808Z

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.

source=arxiv_source observed=2026-06-27T19:58:32.016341Z digest=sha256:ad00f8513aa140bf3c231c4dcbf26ab39f9f9e76594a92074536db4b251c6afc

Observation b8dff968-951b-48f3-87a4-3a43ff7310ec · inbound

A Survey of Large Language Models for Perception and Measurement of Human Psychology cites this paper.

A Survey of Large Language Models for Perception and Measurement of Human Psychology Do Large Language Models Understand Logic or Just Mimick Context?

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T17:04:57.148717Z

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.

source=pdf_text observed=2026-06-30T16:59:25.825681Z digest=sha256:06455ffb3dd09656ba2b8a7c73557319ae4a1920e25276a8744223a77eec7f90