Paper Citation Record · LEDGER

MiniWorld: Democratizing the Training of Video World Models from Scratch

As of 10 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2608.01127.

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

pith.paper-citation-record.v1
2608.01127 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:31:25.374457Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

39 of 39 outbound references displayed

verified exact0
verified fuzzy11
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cbc58aa8-0141-4ff4-b2c4-895a31a29248 · outbound

This paper cites Happyoyster: Real-time interactive world model, 2026.

MiniWorld: Democratizing the Training of Video World Models from Scratch Happyoyster: Real-time interactive world model, 2026

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:31:26.426701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f0d50057-9631-49b1-879a-f3b6a27c53da · outbound

This paper cites Diffusion forcing: Next-token prediction meets full-sequence diffusion.

MiniWorld: Democratizing the Training of Video World Models from Scratch Diffusion forcing: Next-token prediction meets full-sequence diffusion

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:31:26.407304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 731e9231-1287-4b31-b08b-968fdf50857f · outbound

This paper cites Dreamx-world 1.0: A general-purpose interactive world model, 2026.

MiniWorld: Democratizing the Training of Video World Models from Scratch Dreamx-world 1.0: A general-purpose interactive world model, 2026

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:24.067488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 058eb863-9531-4dc7-84a8-dac84f07e640 · outbound

This paper cites Mirage 2: Ai-native ugc game engine powered by real-time world models, 2025.

MiniWorld: Democratizing the Training of Video World Models from Scratch Mirage 2: Ai-native ugc game engine powered by real-time world models, 2025

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:31:26.387879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 21b8cbac-3fe3-4e03-934e-8ee40257cc3e · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

MiniWorld: Democratizing the Training of Video World Models from Scratch Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:24.173735Z

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Unavailable: canonical work link unavailable.

Observation b5138675-3957-4e47-ba3f-3a01b3ffe7a2 · outbound

This paper cites Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing.

MiniWorld: Democratizing the Training of Video World Models from Scratch Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:24.245292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61dcc170-0bc2-40ec-8404-2bfa77f1a582 · outbound

This paper cites Dreamdojo: A generalist robot world model from large-scale human videos,.

MiniWorld: Democratizing the Training of Video World Models from Scratch Dreamdojo: A generalist robot world model from large-scale human videos,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:31:26.370594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c40dc53d-42b7-42a5-b055-a18489c0c6b5 · outbound

This paper cites Infinite Worlds with Versatile Interactions.

MiniWorld: Democratizing the Training of Video World Models from Scratch Infinite Worlds with Versatile Interactions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:24.672823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b465b94a-3ff4-47b7-b412-e3957b150445 · outbound

This paper cites Genie 3: A new frontier for world models, 2025.

MiniWorld: Democratizing the Training of Video World Models from Scratch Genie 3: A new frontier for world models, 2025

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:31:26.352861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bca26e8d-ee06-41e7-941c-674314856bdb · outbound

This paper cites Recurrent world models facilitate policy evolution.

MiniWorld: Democratizing the Training of Video World Models from Scratch Recurrent world models facilitate policy evolution

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:31:26.331120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fbf3d8b3-e956-4eed-bac8-9479e4737a04 · outbound

This paper cites Mastering Diverse Domains through World Models.

MiniWorld: Democratizing the Training of Video World Models from Scratch Mastering Diverse Domains through World Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:24.880506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7155246-518b-42bc-badb-4349bc5b93ac · outbound

This paper cites Matrix-game 2.0: An open-source real-time and streaming interactive world model.

MiniWorld: Democratizing the Training of Video World Models from Scratch Matrix-game 2.0: An open-source real-time and streaming interactive world model

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.042552Z

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Observation 5d4966a0-ae5c-4fa6-8f0f-ef66d9c39f86 · outbound

This paper cites Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion.

MiniWorld: Democratizing the Training of Video World Models from Scratch Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.062899Z

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Unavailable: canonical work link unavailable.

Observation f415b161-0b1f-46c3-aef6-06928f006bbc · outbound

This paper cites Muon: An optimizer for the hidden layers of neural networks, 2024.

MiniWorld: Democratizing the Training of Video World Models from Scratch Muon: An optimizer for the hidden layers of neural networks, 2024

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:31:26.313227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 617c3131-951e-4e46-b37c-cdad903f316a · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

MiniWorld: Democratizing the Training of Video World Models from Scratch DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.206611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbad3fdb-c154-48a9-afcf-51ff4576d6a3 · outbound

This paper cites Advancing Open-source World Models.

MiniWorld: Democratizing the Training of Video World Models from Scratch Advancing Open-source World Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.241964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9ef80b9-54ec-4183-88ac-6f02fc4b855c · outbound

This paper cites an unresolved cited work.

MiniWorld: Democratizing the Training of Video World Models from Scratch Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T00:31:26.293377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b77df3a8-658a-4c8e-bb64-d01a20c88621 · outbound

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

MiniWorld: Democratizing the Training of Video World Models from Scratch Rolling Forcing: Autoregressive Long Video Diffusion in Real Time

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.268816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0aa437d0-6bba-4a90-a02d-677608ea4e76 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

MiniWorld: Democratizing the Training of Video World Models from Scratch Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.274373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51fa5e8c-6c08-4220-9cb2-d0df40f01b63 · outbound

This paper cites Yume-1.5: A text-controlled interactive world generation model.

MiniWorld: Democratizing the Training of Video World Models from Scratch Yume-1.5: A text-controlled interactive world generation model

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:31:26.262659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 98e42777-bae2-4b58-9cfd-c48070003c92 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

MiniWorld: Democratizing the Training of Video World Models from Scratch Cosmos World Foundation Model Platform for Physical AI

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.296209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afa088ad-5dfc-43a0-99bd-6a6a5ba5d862 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

MiniWorld: Democratizing the Training of Video World Models from Scratch Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.279925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26c7182a-fb66-4545-8ea2-b494c6af9bfc · outbound

This paper cites Worldarena: A unified benchmark for evaluating perception and functional utility of embodied world models, 2026.

MiniWorld: Democratizing the Training of Video World Models from Scratch Worldarena: A unified benchmark for evaluating perception and functional utility of embodied world models, 2026

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:31:26.238964Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 73ca17f1-2708-45e3-bdb0-7c9da4006325 · outbound

This paper cites an unresolved cited work.

MiniWorld: Democratizing the Training of Video World Models from Scratch Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.290598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a35aaa46-ac41-445c-a54c-c7a6a565090d · outbound

This paper cites SkyReels-V2: Infinite-length Film Generative Model.

MiniWorld: Democratizing the Training of Video World Models from Scratch SkyReels-V2: Infinite-length Film Generative Model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.316697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8f78a9b-be23-4a5d-b1d7-111107f20558 · outbound

This paper cites MAGI-1: Autoregressive Video Generation at Scale.

MiniWorld: Democratizing the Training of Video World Models from Scratch MAGI-1: Autoregressive Video Generation at Scale

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.300662Z

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Observation 35a35884-25d6-47c5-a335-e6342a097fdc · outbound

This paper cites AR-Diffusion: Asynchronous Video Generation with Auto-Regressive Diffusion.

MiniWorld: Democratizing the Training of Video World Models from Scratch AR-Diffusion: Asynchronous Video Generation with Auto-Regressive Diffusion

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.329247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd5d4877-5e94-419a-851f-6a94c17bd35b · outbound

This paper cites Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory.

MiniWorld: Democratizing the Training of Video World Models from Scratch Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.310303Z

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Unavailable: canonical work link unavailable.

Observation 8a377a66-b2d5-4a64-86da-15046b744e36 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

MiniWorld: Democratizing the Training of Video World Models from Scratch Wan: Open and Advanced Large-Scale Video Generative Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.343155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b175f980-3f52-4bbb-8de1-9a94c510d53f · outbound

This paper cites History-Guided Video Diffusion.

MiniWorld: Democratizing the Training of Video World Models from Scratch History-Guided Video Diffusion

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.322462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dbc3706-8dfc-4be6-805d-30bf7458f545 · outbound

This paper cites Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling.

MiniWorld: Democratizing the Training of Video World Models from Scratch Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.354409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cace3272-9a9e-4afc-ac42-96e4be56eec0 · outbound

This paper cites Hy-world 1.5: A systematic framework for interactive world modeling with real-time latency and geometric consistency, 2025.

MiniWorld: Democratizing the Training of Video World Models from Scratch Hy-world 1.5: A systematic framework for interactive world modeling with real-time latency and geometric consistency, 2025

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:31:26.218865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5cb37f35-81c7-4ce6-847e-d9cf44d1ac8c · outbound

This paper cites The Unreasonable Effectiveness of Deep Features as a Perceptual Metric.

MiniWorld: Democratizing the Training of Video World Models from Scratch The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.363220Z

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Observation 1d335ff7-24bc-44c3-8429-e029d9b41fe8 · outbound

This paper cites Bovik, Hamid R.

MiniWorld: Democratizing the Training of Video World Models from Scratch Bovik, Hamid R

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:31:26.199958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bb376b70-c506-4d02-ab64-c9fab1b8aa34 · outbound

This paper cites Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation.

MiniWorld: Democratizing the Training of Video World Models from Scratch Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.374457Z

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Observation 9a82f494-c5e3-450e-8345-ed8d8bedd4a8 · outbound

This paper cites From slow bidirectional to fast autoregressive video diffusion models.

MiniWorld: Democratizing the Training of Video World Models from Scratch From slow bidirectional to fast autoregressive video diffusion models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.359133Z

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Observation 560dc427-5a15-4cb9-bf95-854c993fb53a · outbound

This paper cites Stereo Magnification: Learning View Synthesis using Multiplane Images.

MiniWorld: Democratizing the Training of Video World Models from Scratch Stereo Magnification: Learning View Synthesis using Multiplane Images

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.368293Z

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Observation 571b2f16-c7f0-4004-900a-8bd92034bbcc · outbound

This paper cites Flow Matching for Generative Modeling.

MiniWorld: Democratizing the Training of Video World Models from Scratch Flow Matching for Generative Modeling

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:25.263876Z

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Unavailable: canonical work link unavailable.

Observation b661d539-58d7-4a8c-88c8-84d554eb127a · outbound

This paper cites DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos.

MiniWorld: Democratizing the Training of Video World Models from Scratch DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:24.525230Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.