Paper Citation Record · LEDGER

Dissociating language and thought in large language models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2301.06627.

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

pith.paper-citation-record.v1
2301.06627 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:30:18.710949Z

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

91
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 7e699856-1846-4921-8d81-68518e6540cb · inbound

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency cites this paper.

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency Dissociating language and thought in large language models

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T18:36:18.589077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c3dd8d83-b4d7-4df1-8ae5-f495564ccf9b · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Dissociating language and thought in large language models

Reference 220

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:12:35.378375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f8cac584-3e92-4c6d-829f-7db5430e01e9 · inbound

Lil-Bevo: Explorations of Strategies for Training Language Models in More Humanlike Ways cites this paper.

Lil-Bevo: Explorations of Strategies for Training Language Models in More Humanlike Ways Dissociating language and thought in large language models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-24T06:36:01.855282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ec3aeb40-b404-41bb-b7bc-dc45e4834611 · inbound

Explain-then-Process: Using Grammar Prompting to Enhance Grammatical Acceptability Judgments cites this paper.

Explain-then-Process: Using Grammar Prompting to Enhance Grammatical Acceptability Judgments Dissociating language and thought in large language models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:30:18.710949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57d0592f-a2d4-4174-a41e-e9273835cbf2 · inbound

Heterogeneity in Formal Linguistic Competence of Language Models: Is Data the Real Bottleneck? cites this paper.

Heterogeneity in Formal Linguistic Competence of Language Models: Is Data the Real Bottleneck? Dissociating language and thought in large language models

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:05:09.423653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4932f176-05d0-402a-ba80-401bb1033fb8 · inbound

Sparse Autoencoders Map Brain-LLM Alignment onto Cortical Semantic Topography cites this paper.

Sparse Autoencoders Map Brain-LLM Alignment onto Cortical Semantic Topography Dissociating language and thought in large language models

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:40:23.520145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 97993758-f710-4f91-bfeb-9e5d4a34e5d2 · inbound

Do Language Models Know What Not to Say? Causal Evidence for Statistical Preemption in LLMs cites this paper.

Do Language Models Know What Not to Say? Causal Evidence for Statistical Preemption in LLMs Dissociating language and thought in large language models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:36:39.974593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0fa4715c-7b0e-45ae-84b1-95d41134b84d · inbound

Model Collapse as Cultural Evolution cites this paper.

Model Collapse as Cultural Evolution Dissociating language and thought in large language models

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:35:23.420068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5ef007e7-d6fd-41b9-8f34-f72ead386019 · inbound

Consistency Training while Mitigating Obfuscation via Rate Matching cites this paper.

Consistency Training while Mitigating Obfuscation via Rate Matching Dissociating language and thought in large language models

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-06-28T14:32:18.156984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8313bfd4-7d8c-4c77-8c1f-9b38b8108699 · inbound

A Lightweight Multi-Agent Framework for Automated Concrete Barrier Design cites this paper.

A Lightweight Multi-Agent Framework for Automated Concrete Barrier Design Dissociating language and thought in large language models

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T11:18:03.614779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ebdd2d9f-260f-4569-83b2-0be567e24e06 · inbound

The New Associationism: Lessons from Deep Learning cites this paper.

The New Associationism: Lessons from Deep Learning Dissociating language and thought in large language models

Reference 108

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:35:00.206390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7e948faf-ff35-4ed6-9a15-93ee6613cddf · inbound

When transformers learn "impossible" languages, what do they learn? cites this paper.

When transformers learn "impossible" languages, what do they learn? Dissociating language and thought in large language models

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-01T02:15:14.121223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.