Paper Citation Record · LEDGER

Linear Spatial World Models Emerge in Large Language Models

As of 17 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 3 inbound Pith citation observations for arXiv:2506.02996.

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

pith.paper-citation-record.v1
2506.02996 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:17:28.279479Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T06:23:00.372251Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:35:41.083419Z

Reference resolution

56 of 56 outbound references displayed

verified exact0
verified fuzzy19
unresolved33
parse uncertain0
malformed identifier3
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe8040e9-f56f-4748-a723-f56fa8ae692f · outbound

This paper cites Emergent Abilities of Large Language Models.

Linear Spatial World Models Emerge in Large Language Models Emergent Abilities of Large Language Models

Reference 1

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Source-reported events for the cited work

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Observation 900ceff0-922f-49f6-a4af-7b601291a296 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Linear Spatial World Models Emerge in Large Language Models Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:23.983815Z

Source-reported events for the cited work

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Observation c2e138ef-df58-44dd-bccf-73f485c23e2e · outbound

This paper cites World Models.

Linear Spatial World Models Emerge in Large Language Models World Models

Reference 3

Resolution: malformed identifier; no resolver link, observed 2026-08-07T11:17:24.014010Z

Source-reported events for the cited work

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Observation 303b41fd-c531-4caa-8240-19ae1e43fb24 · outbound

This paper cites World-model interpretability is all we need.AI Alignment Forum, January 2023.

Linear Spatial World Models Emerge in Large Language Models World-model interpretability is all we need.AI Alignment Forum, January 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:17:32.433703Z

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Observation 6cddc234-38e7-42aa-a261-6da7048d212e · outbound

This paper cites an unresolved cited work.

Linear Spatial World Models Emerge in Large Language Models Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:17:32.297237Z

Source-reported events for the cited work

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Observation 80618393-1278-41cf-b833-9267df17da5f · outbound

This paper cites Every good regulator of a system must be a model of that system.International journal of systems science, 1(2):89–97, 1970.

Linear Spatial World Models Emerge in Large Language Models Every good regulator of a system must be a model of that system.International journal of systems science, 1(2):89–97, 1970

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:17:32.089415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 05763707-f469-49d2-9404-920fd77263df · outbound

This paper cites Francis and Walter Murray Wonham.

Linear Spatial World Models Emerge in Large Language Models Francis and Walter Murray Wonham

Reference 8

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Source-reported events for the cited work

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Observation f47078de-afc2-4e70-b067-a0470baf38a9 · outbound

This paper cites Robust agents learn causal world models.

Linear Spatial World Models Emerge in Large Language Models Robust agents learn causal world models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:24.319460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b23abb5f-b18f-40e4-847d-9c880f2de4b3 · outbound

This paper cites Climbing towards nlu: On meaning, form, and understanding in the age of data.

Linear Spatial World Models Emerge in Large Language Models Climbing towards nlu: On meaning, form, and understanding in the age of data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:24.359201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18dd5334-7427-48d7-8671-e60e9e088fb1 · outbound

This paper cites Experience Grounds Language.

Linear Spatial World Models Emerge in Large Language Models Experience Grounds Language

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:24.396251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d952693-570e-463b-8a0f-d24c88da0cb8 · outbound

This paper cites Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell.

Linear Spatial World Models Emerge in Large Language Models Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:24.428797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0311a1cf-da0e-49d4-9442-e1c45318ff1b · outbound

This paper cites Actually, othello-gpt has a linear emergent world representation.Neel Nanda’s Blog, March 2023.

Linear Spatial World Models Emerge in Large Language Models Actually, othello-gpt has a linear emergent world representation.Neel Nanda’s Blog, March 2023

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:17:31.921685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6ce25a7c-d292-43d6-ade2-ce597e277226 · outbound

This paper cites On the dangers of stochastic parrots: Can language models be too big? InProceedings of the 2021 ACM conference on fairness, accountability, and transparency, pages 610–623, 2021.

Linear Spatial World Models Emerge in Large Language Models On the dangers of stochastic parrots: Can language models be too big? InProceedings of the 2021 ACM conference on fairness, accountability, and transparency, pages 610–623, 2021

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:24.495280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 162ca001-d60d-4d69-b8fb-fddcf3abca04 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Linear Spatial World Models Emerge in Large Language Models On the Opportunities and Risks of Foundation Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:24.575321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afa0dbda-d86d-4160-bb8b-5580cba74dbd · outbound

This paper cites The alignment problem from a deep learning perspective, 2023.

Linear Spatial World Models Emerge in Large Language Models The alignment problem from a deep learning perspective, 2023

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:17:31.729457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d546b1c4-b4ff-4f0a-bae2-43062f573083 · outbound

This paper cites World models: The safety perspective.

Linear Spatial World Models Emerge in Large Language Models World models: The safety perspective

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:17:31.596464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5e24bd4b-b5fd-4772-9a2e-71c4d34e8e8d · outbound

This paper cites Evaluating the world model implicit in a generative model.Advances in Neural Information Processing Systems, 37:26941–26975, 2024.

Linear Spatial World Models Emerge in Large Language Models Evaluating the world model implicit in a generative model.Advances in Neural Information Processing Systems, 37:26941–26975, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:17:31.439056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 10f8caa2-bc31-4205-9390-d07ba9879ea5 · outbound

This paper cites Getting aligned on representational alignment.

Linear Spatial World Models Emerge in Large Language Models Getting aligned on representational alignment

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:24.754887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f18e1bb7-bc8a-402c-9564-89ab99c4ed93 · outbound

This paper cites Toy models of superposition.Transformer Circuits Thread, 2022.

Linear Spatial World Models Emerge in Large Language Models Toy models of superposition.Transformer Circuits Thread, 2022

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:17:31.291218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 193268f3-32e0-410d-a5d8-5cc291844ab6 · outbound

This paper cites Distributed representations: Composition & superposition.Trans- former Circuits Thread, 2023.

Linear Spatial World Models Emerge in Large Language Models Distributed representations: Composition & superposition.Trans- former Circuits Thread, 2023

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:17:31.175128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 147e7dd2-086b-4066-88df-9f2aae440515 · outbound

This paper cites Taking features out of superposition with sparse autoencoders.AI Alignment Forum, 2022.

Linear Spatial World Models Emerge in Large Language Models Taking features out of superposition with sparse autoencoders.AI Alignment Forum, 2022

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:17:31.032398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 78e6cebd-adb5-47e5-b6f9-1e6d50a17fc6 · outbound

This paper cites Mathematical Models of Computation in Superposition.

Linear Spatial World Models Emerge in Large Language Models Mathematical Models of Computation in Superposition

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:24.992598Z

Source-reported events for the cited work

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Observation c52cac89-9d5f-48b5-981a-215ef43d9ff2 · outbound

This paper cites an unresolved cited work.

Linear Spatial World Models Emerge in Large Language Models Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:25.035041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74ce2742-e9c2-4902-bccd-0bd7bb6f6a9e · outbound

This paper cites Probing classifiers: Promises, shortcomings, and advances.Computational Linguistics, 48(1):207–219, 2022.

Linear Spatial World Models Emerge in Large Language Models Probing classifiers: Promises, shortcomings, and advances.Computational Linguistics, 48(1):207–219, 2022

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:25.108812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13bf2520-fea3-42a1-b0c6-4168620243a2 · outbound

This paper cites Probing the probing paradigm: Does probing accuracy entail task relevance?ACL, pages 3363–3377, 2021.

Linear Spatial World Models Emerge in Large Language Models Probing the probing paradigm: Does probing accuracy entail task relevance?ACL, pages 3363–3377, 2021

Reference 26

Resolution: malformed identifier; no resolver link, observed 2026-08-07T11:17:25.161107Z

Source-reported events for the cited work

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Observation 159e7901-3906-4bff-adc9-ef5612918072 · outbound

This paper cites Zoom in: An introduction to circuits.Distill, 5(3):e00024–001, 2020.

Linear Spatial World Models Emerge in Large Language Models Zoom in: An introduction to circuits.Distill, 5(3):e00024–001, 2020

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:25.224495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1304c339-2372-4425-88c9-a60a5335503b · outbound

This paper cites Toward transparent ai: A survey on interpreting the inner structures of deep neural networks.

Linear Spatial World Models Emerge in Large Language Models Toward transparent ai: A survey on interpreting the inner structures of deep neural networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:17:30.878862Z

Source-reported events for the cited work

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Observation f4f3d1f0-c099-46cb-81ea-2ee9c97577c9 · outbound

This paper cites Mechanistic Interpretability for AI Safety -- A Review.

Linear Spatial World Models Emerge in Large Language Models Mechanistic Interpretability for AI Safety -- A Review

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:25.404532Z

Source-reported events for the cited work

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Observation 6a7710c6-2ff1-4add-9ae7-542225f7084b · outbound

This paper cites A comprehensive mechanistic interpretability explainer & glos- sary.Neel Nanda’s Blog, December 2022.

Linear Spatial World Models Emerge in Large Language Models A comprehensive mechanistic interpretability explainer & glos- sary.Neel Nanda’s Blog, December 2022

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:17:30.750779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 93f48b40-4020-402a-abad-fcec54dd46ff · outbound

This paper cites Steering Language Models With Activation Engineering.

Linear Spatial World Models Emerge in Large Language Models Steering Language Models With Activation Engineering

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:25.566086Z

Source-reported events for the cited work

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Observation 108e52b0-0780-4005-80b5-8d8ce9aa1c52 · outbound

This paper cites Attribution patching: Activation patching at industrial scale.Neel Nanda’s Blog, February 2023.

Linear Spatial World Models Emerge in Large Language Models Attribution patching: Activation patching at industrial scale.Neel Nanda’s Blog, February 2023

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:17:30.592147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 06bc19da-8c00-4fe0-9a9f-4d61ef5f904b · outbound

This paper cites Chess as a testbed for language model state tracking.

Linear Spatial World Models Emerge in Large Language Models Chess as a testbed for language model state tracking

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:17:30.462866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 518385f5-3e20-4dca-90d7-550c1e0b9c62 · outbound

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

Linear Spatial World Models Emerge in Large Language Models Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:25.775461Z

Source-reported events for the cited work

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Observation 00205dca-834e-4186-9a7b-4b2ffd78de6f · outbound

This paper cites Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models.

Linear Spatial World Models Emerge in Large Language Models Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:25.897642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e442602-811d-4164-be37-aae9d9a4c077 · outbound

This paper cites Emergent Linear Representations in World Models of Self-Supervised Sequence Models.

Linear Spatial World Models Emerge in Large Language Models Emergent Linear Representations in World Models of Self-Supervised Sequence Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:26.052638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fe309fb-0706-460b-a5bf-ece172981e13 · outbound

This paper cites The Linear Representation Hypothesis and the Geometry of Large Language Models.

Linear Spatial World Models Emerge in Large Language Models The Linear Representation Hypothesis and the Geometry of Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:26.179218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b336fd90-3db8-4b96-8ea8-4b41083aa7a8 · outbound

This paper cites Linear Latent World Models in Simple Transformers: A Case Study on Othello-GPT.

Linear Spatial World Models Emerge in Large Language Models Linear Latent World Models in Simple Transformers: A Case Study on Othello-GPT

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:26.326793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f31df7a-51a5-4cbb-96fb-d20249ddb841 · outbound

This paper cites Language Models Represent Space and Time.

Linear Spatial World Models Emerge in Large Language Models Language Models Represent Space and Time

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:26.479690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 794b4c22-70a0-4a8e-90bd-800697b0669b · outbound

This paper cites Language encodes geographical information.Cognitive Science, 33(1):51–73, 2009.

Linear Spatial World Models Emerge in Large Language Models Language encodes geographical information.Cognitive Science, 33(1):51–73, 2009

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:17:30.310067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 595e3771-47b0-4854-b67c-09e062735c7a · outbound

This paper cites Representing spatial structure through maps and language: Lord of the rings encodes the spatial structure of middle earth.Cognitive science, 36(8): 1556–1569, 2012.

Linear Spatial World Models Emerge in Large Language Models Representing spatial structure through maps and language: Lord of the rings encodes the spatial structure of middle earth.Cognitive science, 36(8): 1556–1569, 2012

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:17:30.182115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b0ddde58-11c3-467e-85a8-430823281626 · outbound

This paper cites Do Language Models Know the Way to Rome?.

Linear Spatial World Models Emerge in Large Language Models Do Language Models Know the Way to Rome?

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:26.901920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5f7c5ea-a6dc-4635-aa5f-8ca31f3b5a54 · outbound

This paper cites Structured World Representations in Maze-Solving Transformers.

Linear Spatial World Models Emerge in Large Language Models Structured World Representations in Maze-Solving Transformers

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:27.051537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa803672-9cf9-43ed-aef2-f5fe1f329e72 · outbound

This paper cites Mapping language models to grounded conceptual spaces.ICLR,.

Linear Spatial World Models Emerge in Large Language Models Mapping language models to grounded conceptual spaces.ICLR,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:17:30.036273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6b2e60e3-e9b1-436c-9bb7-ef933e389f62 · outbound

This paper cites The Llama 3 Herd of Models.

Linear Spatial World Models Emerge in Large Language Models The Llama 3 Herd of Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:27.474768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 929d5550-991f-4aea-9ac7-9c3daa10b77a · outbound

This paper cites Probing classifiers: Promises, shortcomings, and advances.CoRR, September.

Linear Spatial World Models Emerge in Large Language Models Probing classifiers: Promises, shortcomings, and advances.CoRR, September

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:17:29.740442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b98c6ff9-776e-4ee1-a19b-a13b7eca0ece · outbound

This paper cites Sparse autoencoders match supervised features for model steering on the ioi task.ICML MI Workshop, June 2024.

Linear Spatial World Models Emerge in Large Language Models Sparse autoencoders match supervised features for model steering on the ioi task.ICML MI Workshop, June 2024

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:17:29.532243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6a13d72c-382f-4309-8718-1b9c8c50ea3c · outbound

This paper cites an unresolved cited work.

Linear Spatial World Models Emerge in Large Language Models Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:17:29.336157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a89742db-a8b8-4ee6-b2c5-cba54d8426c5 · outbound

This paper cites Improving Activation Steering in Language Models with Mean-Centring.

Linear Spatial World Models Emerge in Large Language Models Improving Activation Steering in Language Models with Mean-Centring

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:27.899636Z

Source-reported events for the cited work

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Observation 9a11e8db-0b7f-438d-83f8-f8e0ae14d908 · outbound

This paper cites The Platonic Representation Hypothesis.

Linear Spatial World Models Emerge in Large Language Models The Platonic Representation Hypothesis

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:27.980627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ffa341c-45b3-4e5d-9adc-c2fa387f1b01 · outbound

This paper cites Foundational Challenges in Assuring Alignment and Safety of Large Language Models.

Linear Spatial World Models Emerge in Large Language Models Foundational Challenges in Assuring Alignment and Safety of Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:28.039432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 434c29f0-bd04-443a-ad44-09fa4bb2f039 · outbound

This paper cites Risks from ai misalignment at different scales, July 2024.

Linear Spatial World Models Emerge in Large Language Models Risks from ai misalignment at different scales, July 2024

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:17:29.129512Z

Source-reported events for the cited work

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Observation d9e06cc5-0ae3-40c8-8558-edfc789ab2cd · outbound

This paper cites Qwen2 Technical Report.

Linear Spatial World Models Emerge in Large Language Models Qwen2 Technical Report

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:28.219897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ca5db7e-73da-4d38-bdbd-b5ad48ef3a35 · outbound

This paper cites Qwen2.5 Technical Report.

Linear Spatial World Models Emerge in Large Language Models Qwen2.5 Technical Report

Reference 54

Resolution: malformed identifier; no resolver link, observed 2026-08-07T11:17:28.279479Z

Source-reported events for the cited work

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Observation 55045c0e-f855-4e75-b090-403d603daa75 · outbound

This paper cites Probing Classifiers: Promises, Shortcomings, and Advances.

Linear Spatial World Models Emerge in Large Language Models Probing Classifiers: Promises, Shortcomings, and Advances

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:27.650715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df1fcd02-d569-4ac4-8075-1baf5968c3fa · outbound

This paper cites an unresolved cited work.

Linear Spatial World Models Emerge in Large Language Models Unresolved cited work

Reference 2022

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:17:29.863532Z

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Observation 115550ee-404a-4bec-ac1b-e27989979144 · outbound

This paper cites From task structures to world models: What do LLMs know?.

Linear Spatial World Models Emerge in Large Language Models From task structures to world models: What do LLMs know?

Reference 2023

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T11:17:28.563354Z

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Pith citing papers

Observation 9519416f-eed8-4037-b369-c89841b0deba · inbound

Cell-Based Representation of Relational Binding in Language Models cites this paper.

Cell-Based Representation of Relational Binding in Language Models Linear Spatial World Models Emerge in Large Language Models

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:06:04.654139Z

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Observation 0d0fdd4e-6d1a-4a93-9455-6b94734e17c1 · inbound

Uncovering and Shaping the Latent Representation of 3D Scene Topology in Vision-Language Models cites this paper.

Uncovering and Shaping the Latent Representation of 3D Scene Topology in Vision-Language Models Linear Spatial World Models Emerge in Large Language Models

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:00:54.983163Z

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Observation ac6cc103-0246-4fde-9cd3-0afc358c5171 · inbound

Decodable Is Not Grounded: A Vision-Ablation Arbiter for VLM Spatial Reasoning cites this paper.

Decodable Is Not Grounded: A Vision-Ablation Arbiter for VLM Spatial Reasoning Linear Spatial World Models Emerge in Large Language Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:35:41.085970Z

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