Paper Citation Record · LEDGER

From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2306.12672.

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

pith.paper-citation-record.v1
2306.12672 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:33:25.910877Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:16:47.564365Z

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 b6c24802-835b-48a3-adba-9c32d6ca4a18 · inbound

Cognitive Architectures for Language Agents cites this paper.

Cognitive Architectures for Language Agents From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:33:44.215073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 29d502a1-8b41-4d3e-917a-e799610a4a79 · inbound

The Rise and Potential of Large Language Model Based Agents: A Survey cites this paper.

The Rise and Potential of Large Language Model Based Agents: A Survey From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:47:51.822334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 840f18fc-64d3-4ee6-83f5-740f3f5b2c0e · inbound

NeuroAI for AI Safety cites this paper.

NeuroAI for AI Safety From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 297

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:25.100789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a133e4e0-7152-47b4-990f-7712f45da2ac · inbound

Revisiting Rogers' Paradox in the Context of Human-AI Interaction cites this paper.

Revisiting Rogers' Paradox in the Context of Human-AI Interaction From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T19:53:42.732662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbc82b42-5c0c-41b8-97f9-df9927e62127 · inbound

When Do Neural Networks Learn World Models? cites this paper.

When Do Neural Networks Learn World Models? From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T22:12:50.230706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caea5000-5654-4cfb-af29-10f4f2a18e4d · inbound

Position: Stop Acting Like Language Model Agents Are Normal Agents cites this paper.

Position: Stop Acting Like Language Model Agents Are Normal Agents From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T13:24:47.105616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 896488d2-1b84-4a20-a651-ee9f3cd6c2cf · inbound

ZeroSumEval: Scaling LLM Evaluation with Inter-Model Competition cites this paper.

ZeroSumEval: Scaling LLM Evaluation with Inter-Model Competition From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T12:33:25.910877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0858f640-b8a1-4e3c-b54c-ea9d5b74e13a · inbound

Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic Beliefs cites this paper.

Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic Beliefs From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T12:08:25.058738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24b09734-d267-42b1-b220-a8ecc4080273 · inbound

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation cites this paper.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T01:04:38.731819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4af18859-750a-4ac6-80b0-83d173864a08 · inbound

Using LLMs to Advance the Cognitive Science of Collectives cites this paper.

Using LLMs to Advance the Cognitive Science of Collectives From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:40.580235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1cea3fe-4892-4e1b-bfe9-01ac021ce8fe · inbound

Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering cites this paper.

Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T11:47:50.010944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d4973d9-5e33-4547-bed7-df496298719d · inbound

LLMs as World Models: Data-Driven and Human-Centered Pre-Event Simulation for Disaster Impact Assessment cites this paper.

LLMs as World Models: Data-Driven and Human-Centered Pre-Event Simulation for Disaster Impact Assessment From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:34.544569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7de648e9-e30f-46eb-aaaf-8713c1da9f93 · inbound

What's in the Box? Reasoning about Unseen Objects from Multimodal Cues cites this paper.

What's in the Box? Reasoning about Unseen Objects from Multimodal Cues From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T00:26:11.919119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19a180c7-4ad9-48ec-b1f7-e92af88b08e0 · inbound

Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-The-Fly cites this paper.

Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-The-Fly From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T19:24:53.705073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56c84bd2-1b9b-4e77-ae00-489422ba2c9b · inbound

Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models cites this paper.

Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T16:50:50.165533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34dad601-4d8b-4140-89bb-7c7a346c5006 · inbound

Analogy making as amortised model construction cites this paper.

Analogy making as amortised model construction From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T15:12:51.976352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9093a2ac-a8d0-4bbb-9e40-e099a9ffd600 · inbound

What Does it Mean for a Neural Network to Learn a "World Model"? cites this paper.

What Does it Mean for a Neural Network to Learn a "World Model"? From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:46.859237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8fe71f1-4423-4db2-83d5-0c3fff32254e · inbound

Understanding Human Limits in Pattern Recognition: A Computational Model of Sequential Reasoning in Rock, Paper, Scissors cites this paper.

Understanding Human Limits in Pattern Recognition: A Computational Model of Sequential Reasoning in Rock, Paper, Scissors From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T14:26:03.608713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e792b6e9-27c5-4365-a1d1-0dbdd996026f · inbound

Generation and Evaluation in the Human Invention Process through the Lens of Game Design cites this paper.

Generation and Evaluation in the Human Invention Process through the Lens of Game Design From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T10:20:48.455630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaa273c8-094d-43a7-88dd-4471ae197421 · inbound

Neuro-Symbolic Frameworks: Conceptual Characterization and Empirical Comparative Analysis cites this paper.

Neuro-Symbolic Frameworks: Conceptual Characterization and Empirical Comparative Analysis From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T16:18:24.048831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42ce058c-0f4b-4ebf-b60a-99e1dfc7291a · inbound

World Modeling with Probabilistic Structure Integration cites this paper.

World Modeling with Probabilistic Structure Integration From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-04T20:07:03.429231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7a4cf4c-dd58-485b-be3b-1ebe32c9ec79 · inbound

CogInstrument: Modeling Cognitive Processes for Bidirectional Human-LLM Alignment in Planning Tasks cites this paper.

CogInstrument: Modeling Cognitive Processes for Bidirectional Human-LLM Alignment in Planning Tasks From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:36:02.927341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 50905093-3897-40ee-ad4b-c493f28b4fd0 · inbound

Workspace Optimization: How to Train Your Agent cites this paper.

Workspace Optimization: How to Train Your Agent From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:37:00.591676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1ca4bba2-8373-4ac9-9f15-f0cacdc08079 · inbound

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space cites this paper.

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 107

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.202166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b16965ae-1ff9-43df-ac96-7e9d59abea34 · inbound

An Algebraic Exposition of the Theory of Dyadic Morality cites this paper.

An Algebraic Exposition of the Theory of Dyadic Morality From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-20T17:38:48.550057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9f6fb005-387c-45ab-bea7-a3d1b6d65674 · inbound

Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends cites this paper.

Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T21:06:14.306576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ec9b54a1-4351-4768-b040-4686dfdff5b7 · inbound

A Model of Multi-turn Human Persuadability Using Probabilistic Belief Tracing cites this paper.

A Model of Multi-turn Human Persuadability Using Probabilistic Belief Tracing From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 132

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:16:47.565622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9cb0c5bf-860c-4ef8-96b6-0887382d3e5e · inbound

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling cites this paper.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd8597c0-7247-478f-b650-0d9e63e929e1 · inbound

Policy-as-logic for robust reasoning over rules cites this paper.

Policy-as-logic for robust reasoning over rules From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T00:25:46.685484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.