Paper Citation Record · LEDGER

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception

As of 6 August 2026, this Paper Citation Record lists 100 of 125 outbound references and 7 inbound Pith citation observations for arXiv:2508.15720.

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

pith.paper-citation-record.v1
2508.15720 v1

Coverage vector

measured 100 of 125 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:44:29.247799Z

measured 107 of 107 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T23:56:39.865433Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:28:32.182919Z

Reference resolution

100 of 125 outbound references displayed

verified exact12
verified fuzzy15
unresolved72
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f03020fd-3813-448c-85b6-fe25249a4f12 · outbound

This paper cites Dual-TSST: A dual-branch temporal- spectral-spatial Transformer model for EEG decoding,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Dual-TSST: A dual-branch temporal- spectral-spatial Transformer model for EEG decoding,

Reference 1

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Observation a8a65450-346f-405e-b1b2-809bcb3fbf0d · outbound

This paper cites Noninvasive EEG-based intelligent mobile robots: a systematic review,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Noninvasive EEG-based intelligent mobile robots: a systematic review,

Reference 2

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Observation ec7cd5c4-090d-4468-82f5-ccba11341204 · outbound

This paper cites Neural decoding of EEG signals with machine learning: a systematic review,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Neural decoding of EEG signals with machine learning: a systematic review,

Reference 3

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Observation 3de29f0d-c9ba-45c9-be87-510546996c2a · outbound

This paper cites Deep learning-based electroencephalography analysis: A systematic review,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Deep learning-based electroencephalography analysis: A systematic review,

Reference 4

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Observation 5e3ad81e-8504-4986-a70d-48a363db3ab6 · outbound

This paper cites Transformer-based EEG Decoding: A Survey.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Transformer-based EEG Decoding: A Survey

Reference 5

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Observation 0b074de7-42be-4f14-be74-062844bbbce6 · outbound

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

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception On the Opportunities and Risks of Foundation Models

Reference 6

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Observation fa403a2d-d3ce-4202-98a2-627c0459f97c · outbound

This paper cites Improving language understanding by generative pre-training,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Improving language understanding by generative pre-training,

Reference 7

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Observation 8893dc0f-5f1b-47ee-820e-7c43fbd675cd · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception LLaMA: Open and Efficient Foundation Language Models

Reference 8

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Observation b40fc119-82f7-4a03-bf4a-f0ee510a5cde · outbound

This paper cites An image is worth 16×16 words: Transformers for image recognition at scale,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception An image is worth 16×16 words: Transformers for image recognition at scale,

Reference 9

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Observation 35bf3525-aa4d-457e-bf46-86bc268ced0d · outbound

This paper cites Swin Transformer: Hierarchical vision transformer using shifted windows,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Swin Transformer: Hierarchical vision transformer using shifted windows,

Reference 10

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Observation 9628f358-6911-45be-b7fb-f432382d6925 · outbound

This paper cites Wav2Vec: Un- supervised pre training for speech recognition,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Wav2Vec: Un- supervised pre training for speech recognition,

Reference 11

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Observation 3e9627a0-fee2-4207-8c08-5c9dbcae8f46 · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Robust Speech Recognition via Large-Scale Weak Supervision

Reference 12

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Observation 9937f694-62c8-4cf2-897d-e8ed36f253fe · outbound

This paper cites Learning transferable visual models from natural language supervision,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Learning transferable visual models from natural language supervision,

Reference 13

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Observation 5c8dcb2b-e057-472e-8cb0-66146f332c9d · outbound

This paper cites Flamingo: a visual language model for few-shot learning,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Flamingo: a visual language model for few-shot learning,

Reference 14

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Observation 5ee014c2-990f-4eac-a2db-30a36bed4de7 · outbound

This paper cites Mixture cure semiparametric additive hazard models under partly interval censoring -- a penalized likelihood approach.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Mixture cure semiparametric additive hazard models under partly interval censoring -- a penalized likelihood approach

Reference 15

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Observation 72a7c884-09f1-48e0-bf20-d9873b9d5d91 · outbound

This paper cites Optimal Transport for Offline Imitation Learning.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Optimal Transport for Offline Imitation Learning

Reference 16

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Observation 230c6275-472c-41ab-b5e9-06322130e4f5 · outbound

This paper cites A survey on bridging EEG signals and generative AI: From image and text to beyond,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception A survey on bridging EEG signals and generative AI: From image and text to beyond,

Reference 17

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Observation 8ebed999-deeb-4ccd-b941-710c1abb5fdf · outbound

This paper cites Decoding Linguistic Representations of Human Brain.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Decoding Linguistic Representations of Human Brain

Reference 18

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Observation 4e7494ef-41e5-494a-ab2c-50e6d0ea65f1 · outbound

This paper cites Unveiling thoughts: A review of ad- vancements in EEG brain signal decoding into text,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Unveiling thoughts: A review of ad- vancements in EEG brain signal decoding into text,

Reference 19

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Observation 0edc915d-166c-4149-92e0-e1f466788874 · outbound

This paper cites Decoding natural images from EEG for object recogni- tion,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Decoding natural images from EEG for object recogni- tion,

Reference 20

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Observation d28b188c-87d4-4c48-8752-fd6284147285 · outbound

This paper cites Decoding speech perception from non-invasive brain recordings,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Decoding speech perception from non-invasive brain recordings,

Reference 21

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Observation bb11b5f2-1e29-4aff-ba31-08b675950b31 · outbound

This paper cites Self-supervised Learning for Electroencephalog- raphy,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Self-supervised Learning for Electroencephalog- raphy,

Reference 22

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Observation b46f1170-fcc0-44e0-94e1-419706978234 · outbound

This paper cites E2H: A Two-Stage Non-Invasive Neural Signal Driven Humanoid Robotic Whole-Body Control Framework.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception E2H: A Two-Stage Non-Invasive Neural Signal Driven Humanoid Robotic Whole-Body Control Framework

Reference 23

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Observation ac6ee6f0-9ad9-44e9-802f-df2d16381de3 · outbound

This paper cites ChatBCI: A P300 speller BCI leveraging large language models for improved sentence composition in realistic scenarios,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception ChatBCI: A P300 speller BCI leveraging large language models for improved sentence composition in realistic scenarios,

Reference 24

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Observation 6b86d5d7-9ba6-4beb-abc2-ad9cfbc00ab7 · outbound

This paper cites Sequential best-arm identification with application to P300 Speller,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Sequential best-arm identification with application to P300 Speller,

Reference 25

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Observation 91b253f0-5f5e-427c-a6e8-f317e884a5c1 · outbound

This paper cites Neural spelling: A spell-based BCI system for language neural decoding,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Neural spelling: A spell-based BCI system for language neural decoding,

Reference 26

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Observation 491e1305-dff4-4f84-abab-583aaebb03e4 · outbound

This paper cites Human-AI Teaming Using Large Language Models: Boosting Brain-Computer Interfacing (BCI) and Brain Research.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Human-AI Teaming Using Large Language Models: Boosting Brain-Computer Interfacing (BCI) and Brain Research

Reference 27

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Observation 81c6f736-bb66-4bba-9fbb-67575d34d409 · outbound

This paper cites Classification of non-invasive EEG signals during motor imagery tasks using a large language model,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Classification of non-invasive EEG signals during motor imagery tasks using a large language model,

Reference 28

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Observation 1e985288-a023-4f89-b96c-eaf92442cfbd · outbound

This paper cites BENDR: Using trans- formers and a contrastive self-supervised learning task to learn from massive amounts of EEG data,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception BENDR: Using trans- formers and a contrastive self-supervised learning task to learn from massive amounts of EEG data,

Reference 29

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Observation fd5924f1-6471-4e5c-9041-2de2f1064da5 · outbound

This paper cites From word embedding to reading embedding using large language model, EEG and eye-tracking,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception From word embedding to reading embedding using large language model, EEG and eye-tracking,

Reference 30

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Observation 057e9958-607e-446b-ab93-fc25c5e3c450 · outbound

This paper cites Integrating large language model, EEG, and eye- tracking for word-level neural state classification in reading com- prehension,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Integrating large language model, EEG, and eye- tracking for word-level neural state classification in reading com- prehension,

Reference 31

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Observation 23e609c5-ab74-4027-91bf-ac71deaec932 · outbound

This paper cites CBraMod: A criss-cross brain foundation model for EEG decoding,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception CBraMod: A criss-cross brain foundation model for EEG decoding,

Reference 32

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This paper cites NeuroChat: A neuroadaptive AI chatbot for cus- tomizing learning experiences,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception NeuroChat: A neuroadaptive AI chatbot for cus- tomizing learning experiences,

Reference 33

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Observation 3797a689-7006-46b7-a31e-ddc78c745b8f · outbound

This paper cites EEG emotion copilot: Pruning LLMs for emotional EEG interpretation with assisted medical record generation,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception EEG emotion copilot: Pruning LLMs for emotional EEG interpretation with assisted medical record generation,

Reference 34

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This paper cites Exploring large-scale language models to evaluate EEG- based multimodal data for mental health,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Exploring large-scale language models to evaluate EEG- based multimodal data for mental health,

Reference 35

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This paper cites LLM-enhanced multi-teacher knowledge distillation for modality-incomplete emotion recognition in daily healthcare,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception LLM-enhanced multi-teacher knowledge distillation for modality-incomplete emotion recognition in daily healthcare,

Reference 36

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Advancing semi-supervised EEG emotion recognition through feature extraction with mixup and large language models,

Reference 37

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Emotion analysis AI model for sensing architecture using EEG,

Reference 38

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This paper cites Safe Multi-Agent Navigation guided by Goal-Conditioned Safe Reinforcement Learning.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Safe Multi-Agent Navigation guided by Goal-Conditioned Safe Reinforcement Learning

Reference 39

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Observation 86c6e054-872a-4171-a57a-455629d97714 · outbound

This paper cites BERT learns from electroencephalograms about Parkinson’s disease: Transformer-based models for aid diagnosis,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception BERT learns from electroencephalograms about Parkinson’s disease: Transformer-based models for aid diagnosis,

Reference 40

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Observation 54bcef3a-d203-4eaf-905b-cee7ccd5a30c · outbound

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception When neural implant meets multimodal LLM: A dual-loop system for neuromodulation and naturalistic neuralbehavioral research

Reference 41

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Observation 272f2ef0-597c-4167-85d7-2f6ee83cc4aa · outbound

This paper cites BrainWave: A Brain Signal Foundation Model for Clinical Applications.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception BrainWave: A Brain Signal Foundation Model for Clinical Applications

Reference 42

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This paper cites Clinical grade prediction of therapeutic dosage for electroconvulsive therapy (ECT) based on patient’s pre-ictal EEG using fuzzy causal transformers,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Clinical grade prediction of therapeutic dosage for electroconvulsive therapy (ECT) based on patient’s pre-ictal EEG using fuzzy causal transformers,

Reference 43

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Large Transformers are Better EEG Learners

Reference 44

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation

Reference 45

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception NeuroLM: A universal multi-task foundation model for bridging the gap between language and EEG signals,

Reference 46

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Observation 4e1b0473-7a1b-428a-add9-628c6eab35ee · outbound

This paper cites A spatial-temporal transformer architecture using mul- ti-channel signals for sleep stage classification,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception A spatial-temporal transformer architecture using mul- ti-channel signals for sleep stage classification,

Reference 47

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This paper cites Exploration of LLMs, EEG, and behavioral data to measure and support attention and sleep.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Exploration of LLMs, EEG, and behavioral data to measure and support attention and sleep

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-05T17:44:33.266156Z

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Observation 645e9340-0d60-43c5-93d3-ea1a7946290c · outbound

This paper cites Are foundation models useful feature extractors for electroencephalography analysis?,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Are foundation models useful feature extractors for electroencephalography analysis?,

Reference 49

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This paper cites LEAD: Large foundation model for EEG-based alz- heimer’s disease detection,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception LEAD: Large foundation model for EEG-based alz- heimer’s disease detection,

Reference 50

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This paper cites Can brain signals reveal inner alignment with human languages?,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Can brain signals reveal inner alignment with human languages?,

Reference 51

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This paper cites Enhancing EEG-to-text decoding through transferable representations from pre-trained contrastive EEG-text masked auto- encoder,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Enhancing EEG-to-text decoding through transferable representations from pre-trained contrastive EEG-text masked auto- encoder,

Reference 52

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This paper cites Aligning semantic in brain and language: A curricu- lum contrastive method for electroencephalography-to-text generation,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Aligning semantic in brain and language: A curricu- lum contrastive method for electroencephalography-to-text generation,

Reference 53

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This paper cites Towards linguistic neural representation learning and sentence retrieval from electroencephalogram recordings,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Towards linguistic neural representation learning and sentence retrieval from electroencephalogram recordings,

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception LLMs Help Alleviate the Cross-Subject Variability in Brain Signal and Language Alignment

Reference 55

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This paper cites BELT: Bootstrapped EEG-to-language training by natural language supervision,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception BELT: Bootstrapped EEG-to-language training by natural language supervision,

Reference 56

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension,

Reference 57

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This paper cites Open vocabulary electroencephalography-to-text decoding and zero-shot sentiment classification,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Open vocabulary electroencephalography-to-text decoding and zero-shot sentiment classification,

Reference 58

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This paper cites From Thought to Action: How a Hierarchy of Neural Dynamics Supports Language Production.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception From Thought to Action: How a Hierarchy of Neural Dynamics Supports Language Production

Reference 59

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This paper cites Brain-to-Text Decoding: A Non-invasive Approach via Typing.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Brain-to-Text Decoding: A Non-invasive Approach via Typing

Reference 60

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Deep representation learning for open vocabulary electroencephalography-to-text decoding,

Reference 61

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This paper cites SEE: Semantically aligned EEG-to-text translation,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception SEE: Semantically aligned EEG-to-text translation,

Reference 62

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer

Reference 63

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Dewave: Discrete EEG waves encoding for brain dynamics to text translation,

Reference 64

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception BELT-2: Bootstrapping EEG-to-Language representation alignment for multi-task brain decoding

Reference 65

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception EEG-CLIP : Learning EEG representations from natural language descriptions

Reference 66

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Are EEG-to-Text Models Working?

Reference 67

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Learning robust deep visual representations from EEG brain recordings,

Reference 68

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Human-Aligned Image Models Improve Visual Decoding from the Brain

Reference 69

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception MB2C: Multimodal bidirectional cycle consistency for learning robust visual neural representations,

Reference 70

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Neural-MCRL: Neural Multimodal Contrastive Representation Learning for EEG-based Visual Decoding

Reference 71

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Visual neural decoding via improved visual-EEG se- mantic consistency,

Reference 72

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception RealMind: Advancing Visual Decoding and Language Interaction via EEG Signals

Reference 73

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Visual decoding and reconstruction via EEG embeddings with guided diffusion,

Reference 74

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception DreamDiffusion: Generating High-Quality Images from Brain EEG Signals

Reference 75

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Guess what I think: Streamlined EEG-to-image gen- eration with latent diffusion models,

Reference 76

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception EEG decoding and visual reconstruction via 3D geometric with nonstationarity modelling,

Reference 77

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals

Reference 78

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Efficient estimation with incomplete data via generalised ANOVA decompositions

Reference 79

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception BrainDreamer: Reasoning-Coherent and Controllable Image Generation from EEG Brain Signals via Language Guidance

Reference 80

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception BrainVis: Exploring the bridge between brain and visual signals via image reconstruction,

Reference 81

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Scaling laws for decoding images from brain activity

Reference 82

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Perceptogram: Reconstructing visual percepts from EEG,

Reference 83

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception EEG2Video: Towards decoding dynamic visual percep- tion from EEG signals,

Reference 84

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception EEG-Driven 3D Object Reconstruction with Style Consistency and Diffusion Prior

Reference 85

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Neuro-3D: Towards 3D visual decoding from EEG signals,

Reference 86

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Mildenhall, et al

Reference 87

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Contextual feature extraction hierarchies converge in large language models and the brain,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:44:39.390209Z

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception A high-performance neuroprosthesis for speech decoding and avatar control,

Reference 89

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Decoding of the speech envelope from EEG using the VLAAI deep neural network,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:44:39.179363Z

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Imagined speech reconstruction from neural signals—an overview of sources and methods,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:44:39.062202Z

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This paper cites Investigating self-supervised deep representations for EEG-based auditory attention decoding,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Investigating self-supervised deep representations for EEG-based auditory attention decoding,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:44:38.882263Z

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Observation 6cb50d2b-daa3-4872-86b8-a95fedd68d43 · outbound

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Estimating musical surprisal in audio,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:44:38.698705Z

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Multimodal fusion for EEG emotion recognition in music with a multi-task learning framework,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:44:38.566400Z

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception A review on EEG neural music system and application,

Reference 95

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Generative AI and EEG-based music personali- zation for work stress reduction,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:44:38.307461Z

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Simple and controllable music generation,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:44:38.144860Z

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Observation 0177dc31-da2a-4ec7-96ae-34efbf3bf43b · outbound

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception An investigation on the speech recovery from EEG signals using transformer,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:44:37.971394Z

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Observation e1759fba-5f30-4f4f-96d6-11592d400a54 · outbound

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WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Towards voice reconstruction from EEG imagined speech,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:44:37.784340Z

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Observation 8dd169b4-6281-4ba8-870c-2f4ec9626e6e · outbound

This paper cites Towards EEG-based talking-face generation for brain signal-driven dynamic communication,.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Towards EEG-based talking-face generation for brain signal-driven dynamic communication,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:44:37.640750Z

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Pith citing papers

Observation 84c03cb4-8b42-416c-9359-525734ad9757 · inbound

Rolling Forcing: Autoregressive Long Video Diffusion in Real Time cites this paper.

Rolling Forcing: Autoregressive Long Video Diffusion in Real Time WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception

Reference 55

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Observation 11c3ed9e-6f5d-4b01-a1cb-2fbea5bfe254 · inbound

Self-Forcing++: Towards Minute-Scale High-Quality Video Generation cites this paper.

Self-Forcing++: Towards Minute-Scale High-Quality Video Generation WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception

Reference 40

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Observation 571d6347-945a-41e6-ad8f-cf74e0551013 · inbound

Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models cites this paper.

Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception

Reference 27

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Observation 165d0f4e-c3d6-4621-98f9-e5c9a7de1574 · inbound

Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models cites this paper.

Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception

Reference 27

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Observation 66e2ed1f-26e8-4a8d-b000-353686aab030 · inbound

SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation cites this paper.

SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception

Reference 19

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Observation 1ed6f011-4c01-4cd5-9f57-32d103dfb18b · inbound

TunerDiT: Training-free Progressive Steering of Diffusion Transformer for Multi-Event Video Generation cites this paper.

TunerDiT: Training-free Progressive Steering of Diffusion Transformer for Multi-Event Video Generation WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception

Reference 26

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Observation f8499345-4f4d-4f3e-998f-ec8e6387abf9 · inbound

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers cites this paper.

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception

Reference 250

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:28:32.184289Z

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