Paper Citation Record · LEDGER

What Does it Mean for a Neural Network to Learn a "World Model"?

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.21513.

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

pith.paper-citation-record.v1
2507.21513 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:44:47.061248Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

verified exact1
verified fuzzy6
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6286c621-91ba-48e8-9524-86b0e553b85f · outbound

This paper cites Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color.

What Does it Mean for a Neural Network to Learn a "World Model"? Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:44.684595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d48ef1e-f33e-48df-a4c5-5b1a930c8b5a · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

What Does it Mean for a Neural Network to Learn a "World Model"? Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:45.105857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea1cd338-5a37-4259-84c5-763c53e6a279 · outbound

This paper cites World Models.

What Does it Mean for a Neural Network to Learn a "World Model"? World Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:45.239376Z

Source-reported events for the cited work

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Observation 591e9dd7-ea97-4d11-bdf5-183f5444bd15 · outbound

This paper cites Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task.

What Does it Mean for a Neural Network to Learn a "World Model"? Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:45.677714Z

Source-reported events for the cited work

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Observation b8f51a83-0023-4c75-841b-ae3c95aa4e1c · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

What Does it Mean for a Neural Network to Learn a "World Model"? Playing Atari with Deep Reinforcement Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:45.762383Z

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Observation 9b485c08-7d18-450f-960c-c0e1db243b34 · outbound

This paper cites Glove: Global vectors for word representation.

What Does it Mean for a Neural Network to Learn a "World Model"? Glove: Global vectors for word representation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:44:48.418156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1b4c3c66-d130-468f-9ffd-784c53fd68b7 · outbound

This paper cites Are Emergent Abilities of Large Language Models a Mirage?.

What Does it Mean for a Neural Network to Learn a "World Model"? Are Emergent Abilities of Large Language Models a Mirage?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:46.168916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fad64e8-305a-4376-9fbb-416512a7d58d · outbound

This paper cites Proximal Policy Optimization Algorithms.

What Does it Mean for a Neural Network to Learn a "World Model"? Proximal Policy Optimization Algorithms

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:46.243710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d31759d9-4456-4e96-82a5-6807f12a6c34 · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

What Does it Mean for a Neural Network to Learn a "World Model"? Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:46.361511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c145a485-1b06-43fb-aff9-c7ce4f3ad391 · outbound

This paper cites Detecting strange attractors in turbulence.

What Does it Mean for a Neural Network to Learn a "World Model"? Detecting strange attractors in turbulence

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:44:48.272685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc4f3591-904d-4298-9185-4194c1b1f435 · outbound

This paper cites Evaluating the World Model Implicit in a Generative Model.

What Does it Mean for a Neural Network to Learn a "World Model"? Evaluating the World Model Implicit in a Generative Model

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:46.541283Z

Source-reported events for the cited work

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Observation 079575da-6efd-4e19-9194-e20e2339800d · outbound

This paper cites The System Model and the User Model: Exploring AI Dashboard Design.

What Does it Mean for a Neural Network to Learn a "World Model"? The System Model and the User Model: Exploring AI Dashboard Design

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:46.618587Z

Source-reported events for the cited work

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Observation 7bcd501f-4f91-44bc-a337-3b28d596c3eb · outbound

This paper cites Emergence of Maps in the Memories of Blind Navigation Agents.

What Does it Mean for a Neural Network to Learn a "World Model"? Emergence of Maps in the Memories of Blind Navigation Agents

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:46.734328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought.

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 a364708b-a200-457d-9ef1-484f899cc15c · outbound

This paper cites Making Large Language Models into World Models with Precondition and Effect Knowledge.

What Does it Mean for a Neural Network to Learn a "World Model"? Making Large Language Models into World Models with Precondition and Effect Knowledge

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:46.955953Z

Source-reported events for the cited work

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Observation 919bb990-6d79-40dc-98d8-b61e08409386 · outbound

This paper cites good approximation.

What Does it Mean for a Neural Network to Learn a "World Model"? good approximation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:44:48.149316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f775e219-37da-4fe5-b8ed-0c646af56bd1 · outbound

This paper cites On interpretability and feature representations: an analysis of the sentiment neuron.

What Does it Mean for a Neural Network to Learn a "World Model"? On interpretability and feature representations: an analysis of the sentiment neuron

Reference 1967

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:44:48.740157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8bbf852-0562-422a-b615-80d0610d12ca · outbound

This paper cites Designing and Interpreting Probes with Control Tasks.

What Does it Mean for a Neural Network to Learn a "World Model"? Designing and Interpreting Probes with Control Tasks

Reference 2005

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:45.327246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c51f6065-9d97-4a80-aaf5-ff084e78088c · outbound

This paper cites Progress measures for grokking via mechanistic interpretability.

What Does it Mean for a Neural Network to Learn a "World Model"? Progress measures for grokking via mechanistic interpretability

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:45.857588Z

Source-reported events for the cited work

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Observation 69a5b349-dab4-42c0-b721-548d6573281a · outbound

This paper cites Learning to Generate Reviews and Discovering Sentiment.

What Does it Mean for a Neural Network to Learn a "World Model"? Learning to Generate Reviews and Discovering Sentiment

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:46.073052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b15a018-5b2f-41d8-bd96-1d3fd6c4e905 · outbound

This paper cites Language Models as Agent Models.

What Does it Mean for a Neural Network to Learn a "World Model"? Language Models as Agent Models

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:44.861954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 251cec7b-5488-4721-82b9-d31c526dccc8 · outbound

This paper cites A path towards autonomous machine intelligence version 0.9.

What Does it Mean for a Neural Network to Learn a "World Model"? A path towards autonomous machine intelligence version 0.9

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:44:48.570737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e199c974-158e-41a5-91be-648f04a3b655 · outbound

This paper cites On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency, pp.

What Does it Mean for a Neural Network to Learn a "World Model"? On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency, pp

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:44:48.937734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 869c6913-c7a2-4334-bdd0-7d95e39d5e19 · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

What Does it Mean for a Neural Network to Learn a "World Model"? Understanding intermediate layers using linear classifier probes

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:44.766290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c018aa5b-4895-44e6-bedf-238111973a5a · outbound

This paper cites Language Models Represent Space and Time.

What Does it Mean for a Neural Network to Learn a "World Model"? Language Models Represent Space and Time

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:45.163874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84e9f17c-59e1-4c68-b09a-e57589f6e9f8 · outbound

This paper cites Belinda Z Li, Maxwell Nye, and Jacob Andreas.

What Does it Mean for a Neural Network to Learn a "World Model"? Belinda Z Li, Maxwell Nye, and Jacob Andreas

Reference 2024

Resolution: verified exact; raw_fallback, observed 2026-08-06T12:44:47.749505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.