Paper Citation Record · LEDGER

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics

As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2608.01773.

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

pith.paper-citation-record.v1
2608.01773 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:17:40.605713Z

measured 32 of 32 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

32 of 32 outbound references displayed

verified exact2
verified fuzzy18
unresolved12
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 94746932-f3f1-4323-8ee1-35938d363d9d · outbound

This paper cites TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T21:17:40.513560Z

Source-reported events for the cited work

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Observation c1b610a2-5a61-4487-b1fc-b667665fce48 · outbound

This paper cites A foundation model of vision, audition, and language for in-silico neuroscience.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics A foundation model of vision, audition, and language for in-silico neuroscience

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T21:17:40.517791Z

Source-reported events for the cited work

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Observation 9715be92-c382-44f8-a92c-640e9ccb3424 · outbound

This paper cites MIRAGE: Adaptive Multimodal Gating for Whole-Brain fMRI Encoding.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics MIRAGE: Adaptive Multimodal Gating for Whole-Brain fMRI Encoding

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-04T21:17:40.749416Z

Source-reported events for the cited work

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Observation 80d2f275-e207-48fb-911c-5c2cfab250fa · outbound

This paper cites A theory of cortical responses,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics A theory of cortical responses,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:17:40.992679Z

Source-reported events for the cited work

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Observation d34b8e5d-6e34-4dd3-b525-d7717b4346e8 · outbound

This paper cites A hierarchy of temporal receptive windows in human cortex,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics A hierarchy of temporal receptive windows in human cortex,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:17:40.980957Z

Source-reported events for the cited work

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Observation 0bed9194-9245-44f8-b582-b23003ac64d5 · outbound

This paper cites Slow cortical dynamics and the accumulation of information over long timescales,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics Slow cortical dynamics and the accumulation of information over long timescales,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:17:40.968993Z

Source-reported events for the cited work

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Observation cfbdc7d5-cdc1-4aa3-b456-1b30c978e633 · outbound

This paper cites A hierarchy of intrinsic timescales across primate cortex,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics A hierarchy of intrinsic timescales across primate cortex,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:17:40.957855Z

Source-reported events for the cited work

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Observation 15e7b2f2-65f9-4fa8-b0c6-af4f25531085 · outbound

This paper cites Brainvista: Modeling naturalistic brain dynamics as multimodal next-token prediction,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics Brainvista: Modeling naturalistic brain dynamics as multimodal next-token prediction,

Reference 8

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Observation 4cc67810-7fe2-433f-bfd9-99c534c7a938 · outbound

This paper cites Brain-jepa: Brain dynamics foundation model with gradient positioning and spatiotemporal masking,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics Brain-jepa: Brain dynamics foundation model with gradient positioning and spatiotemporal masking,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:17:40.947117Z

Source-reported events for the cited work

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Observation c1ee5343-16eb-4716-a676-76ab5b763e8b · outbound

This paper cites The Algonauts Project 2025 Challenge: How the Human Brain Makes Sense of Multimodal Movies.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics The Algonauts Project 2025 Challenge: How the Human Brain Makes Sense of Multimodal Movies

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T21:17:40.541343Z

Source-reported events for the cited work

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Observation cc9cc385-4afe-4b16-bd90-2043a7547574 · outbound

This paper cites Cinebrain: A large- scale multi-modal brain dataset during naturalistic audiovisual narrative processing,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics Cinebrain: A large- scale multi-modal brain dataset during naturalistic audiovisual narrative processing,

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c8dda8b-a485-4ea1-849a-4828a657dec7 · outbound

This paper cites Brainlm: A foundation model for brain activity recordings,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics Brainlm: A foundation model for brain activity recordings,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:17:40.936030Z

Source-reported events for the cited work

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Observation 8509c5f5-f338-4f7e-9a84-871b4208f1dd · outbound

This paper cites Brain harmony: a multimodal foundation model unifying morphology and function into 1d tokens,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics Brain harmony: a multimodal foundation model unifying morphology and function into 1d tokens,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:17:40.924378Z

Source-reported events for the cited work

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Observation d9029c39-0b8e-4cbe-b4ac-0b8cfc02bcb4 · outbound

This paper cites Towards a general-purpose foundation model for fmri analysis,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics Towards a general-purpose foundation model for fmri analysis,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T21:17:40.553382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55bc626e-8b47-4140-8cc1-e21cb13fd30c · outbound

This paper cites BrainWorld: A Structural-Prior-Conditioned Generative Model for Whole-Brain 4D fMRI Dynamics.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics BrainWorld: A Structural-Prior-Conditioned Generative Model for Whole-Brain 4D fMRI Dynamics

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T21:17:40.556213Z

Source-reported events for the cited work

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Observation 2b6c09d9-b39b-4a67-921d-716db6261d98 · outbound

This paper cites Scalable diffusion models with transformers,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics Scalable diffusion models with transformers,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T21:17:40.559318Z

Source-reported events for the cited work

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Observation 92b4a65c-969c-480d-919e-90e4f96905bf · outbound

This paper cites LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T21:17:40.562080Z

Source-reported events for the cited work

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Observation ced7f4e7-8b51-4e6d-be68-7566328c2de4 · outbound

This paper cites LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T21:17:40.565245Z

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Observation 43ca58ea-d33c-4d71-9f11-ebffaf99d92d · outbound

This paper cites Methods to detect, characterize, and remove motion artifact in resting state fmri,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics Methods to detect, characterize, and remove motion artifact in resting state fmri,

Reference 19

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Observation fc89c5db-7803-4ed8-9d6a-ec58c50860b8 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 20

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Source-reported events for the cited work

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Observation 31534617-ec78-428c-a983-14bf611845a1 · outbound

This paper cites W2v-bert: Combining contrastive learning and masked language mod- eling for self-supervised speech pre-training,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics W2v-bert: Combining contrastive learning and masked language mod- eling for self-supervised speech pre-training,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:17:40.894813Z

Source-reported events for the cited work

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Observation de3f5220-58c0-40bd-8c10-33092613a358 · outbound

This paper cites The Llama 3 Herd of Models.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics The Llama 3 Herd of Models

Reference 22

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Source-reported events for the cited work

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Observation 33156e01-34e9-4688-8aa8-f77db41ebc39 · outbound

This paper cites Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity mri,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity mri,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:17:40.883927Z

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

Observation b35633fc-e81f-4145-aa39-e325b71feb07 · outbound

This paper cites The organization of the human cerebral cortex estimated by intrinsic functional connectivity,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics The organization of the human cerebral cortex estimated by intrinsic functional connectivity,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T21:17:40.582633Z

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Observation f1a3d460-56bd-4426-b2a9-137e31763307 · outbound

This paper cites Integration of auditory and visual information about objects in superior temporal sulcus,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics Integration of auditory and visual information about objects in superior temporal sulcus,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:17:40.865548Z

Source-reported events for the cited work

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Observation bf1ff175-813b-4fd3-9fee-9db2163d8989 · outbound

This paper cites Intersubject synchronization of cortical activity during natural vision,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics Intersubject synchronization of cortical activity during natural vision,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:17:40.855235Z

Source-reported events for the cited work

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Observation f7d00a0b-f94d-49a9-8f3c-67896ae2b684 · outbound

This paper cites The morphospace of the brain- cognition organisation,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics The morphospace of the brain- cognition organisation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:17:40.842785Z

Source-reported events for the cited work

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Observation 8092a71e-d37c-4e34-9325-b081ce15ad7a · outbound

This paper cites Neuromaps: structural and functional interpretation of brain maps,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics Neuromaps: structural and functional interpretation of brain maps,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:17:40.829923Z

Source-reported events for the cited work

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Observation 72b4c895-a2ce-4c1b-8d4e-e75af79d76a6 · outbound

This paper cites Nimare: neuroimaging meta-analysis research environment,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics Nimare: neuroimaging meta-analysis research environment,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:17:40.819085Z

Source-reported events for the cited work

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Observation ddc137a0-e01d-4ed5-b9ed-28d8e3cf124d · outbound

This paper cites Parallel and distributed encoding of speech across human auditory cortex,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics Parallel and distributed encoding of speech across human auditory cortex,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:17:40.807096Z

Source-reported events for the cited work

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Observation 0c366a9a-d4b0-4f32-b46c-b6c30287d89f · outbound

This paper cites How does the “default mode.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics How does the “default mode

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:17:40.796431Z

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 90c38abc-7970-4281-86d2-2e33dba3f977 · outbound

This paper cites Diverse frontoparietal connectivity supports semantic prediction and in- tegration in sentence comprehension,.

NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics Diverse frontoparietal connectivity supports semantic prediction and in- tegration in sentence comprehension,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:17:40.784796Z

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.