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Paper Citation Record · LEDGER

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression

As of 6 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2606.10135.

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

pith.paper-citation-record.v1
2606.10135 v4

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T11:59:15.978300Z

measured 24 of 24 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T20:22:55.016830Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T07:34:21.487595Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5a020d75-0e5f-4bfe-baa2-3ef4fce98007 · outbound

This paper cites LTX-Video: Realtime Video Latent Diffusion.

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression LTX-Video: Realtime Video Latent Diffusion

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:59:13.080088Z digest=sha256:bedccd3277bf9a96d3c9bca0c79ae622919531b9a28587f99b44c5e365b66c35

Observation 44870811-b1a4-44b0-a72d-a45a61517f60 · outbound

This paper cites CameraCtrl: Enabling Camera Control for Text-to-Video Generation.

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression CameraCtrl: Enabling Camera Control for Text-to-Video Generation

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:59:13.187944Z digest=sha256:0380e6d5f739c36df1f28bef7832d58ab865c63a1c1db6d9df719e08d1c61376

Observation cf12c37f-b86d-405a-97dd-e10127e5a8f2 · outbound

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

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression Matrix-game 2.0: An open-source real-time and streaming interactive world model

Reference 5

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source=pdf_text observed=2026-08-02T11:59:13.297613Z digest=sha256:8798572fe03746aec31a183ee6d49e8fa0bd567930bd484912606ab4bc960e81

Observation 51468657-3f68-4402-bac5-264c9b6d1eef · outbound

This paper cites Relic: Interactive video world model with long-horizon memory.arXiv preprint arXiv:2512.04040,.

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression Relic: Interactive video world model with long-horizon memory.arXiv preprint arXiv:2512.04040,

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:59:13.472562Z digest=sha256:48c5740951cd0ec4d1b6843c170ff010ae05c2a0d8fdaab562919e644fb9def9

Observation 00cd2fe4-f483-448b-980b-3c74cc225bf5 · outbound

This paper cites ViPE: Video Pose Engine for 3D Geometric Perception.

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression ViPE: Video Pose Engine for 3D Geometric Perception

Reference 7

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no resolver link, observed 2026-08-02T11:59:13.661355Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T11:59:13.661355Z digest=sha256:53fcadc4bd0409ccbb56b64419e189a8ef7840ff06958dc69d12edfe081d32f0

Observation eb972098-ab52-44f7-b892-fd21ca0c0641 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:59:13.831652Z digest=sha256:8dc956a3c39f78a4a96ecb09006022f1b6424e8eb26a331fb16f43177a321f74

Observation 910685b7-2f40-488e-b980-35f76ef13368 · outbound

This paper cites an unresolved cited work.

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression Unresolved cited work

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:59:14.127092Z digest=sha256:92b3743dda391deefef42cd6ee23daade95d5de2f8914e5cfb443b85362b3742

Observation fb6cbf9e-791d-4874-a06f-58709c727600 · outbound

This paper cites Worldcam: Interactive autoregressive 3d gaming worlds with camera pose as a unifying geometric representation.arXiv preprint arXiv:2603.16871,.

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression Worldcam: Interactive autoregressive 3d gaming worlds with camera pose as a unifying geometric representation.arXiv preprint arXiv:2603.16871,

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:59:14.245035Z digest=sha256:de25e01b12c318691a9d4d7fb6ab426f02342b2bcc783d01075ccbd2e4b28644

Observation b90d13f8-11ec-4212-9d6a-1056e169cc19 · outbound

This paper cites Motion- stream: Real-time video generation with interactive motion controls.arXiv preprint arXiv:2511.01266,.

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression Motion- stream: Real-time video generation with interactive motion controls.arXiv preprint arXiv:2511.01266,

Reference 13

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no resolver link, observed 2026-08-02T11:59:14.536835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:59:14.536835Z digest=sha256:db3a54203e5e3cf35cb5f0fa49516f46a756a08300f65a260d42aab063d83ab6

Observation 999b1eab-c503-4d8f-91b6-09006eac5223 · outbound

This paper cites WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling.

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling

Reference 14

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no resolver link, observed 2026-08-02T11:59:14.718773Z

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source=pdf_text observed=2026-08-02T11:59:14.718773Z digest=sha256:ed6677db549b03a2651780b2ba58acfdb72761998d4b7f0acc919981f3fa5283

Observation 166a1683-4c29-45d0-a08c-f725ba0a8f16 · outbound

This paper cites Hunyuan-gamecraft-2: Instruction-following interactive game world model.arXiv preprint arXiv:2511.23429,.

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression Hunyuan-gamecraft-2: Instruction-following interactive game world model.arXiv preprint arXiv:2511.23429,

Reference 15

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no resolver link, observed 2026-08-02T11:59:14.859048Z

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source=pdf_text observed=2026-08-02T11:59:14.859048Z digest=sha256:04b6cf3fd49bfa2c5852781738288ca48051b143fe460d93e7d16d17530fcfd2

Observation d0f8f430-a199-4b77-a9f0-380bff7772d6 · outbound

This paper cites Advancing Open-source World Models.

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression Advancing Open-source World Models

Reference 16

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source=pdf_text observed=2026-08-02T11:59:15.004301Z digest=sha256:a4a854dc73cf7336f194fde078c2f3736f044606b12a275a018f6eccd1fb7927

Observation 95e21af3-30e6-4ae2-9f23-fb985e77479f · outbound

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

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression Wan: Open and Advanced Large-Scale Video Generative Models

Reference 17

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source=pdf_text observed=2026-08-02T11:59:15.169378Z digest=sha256:4b55808099069a1bcff5e935bd7b275107bab5f25606eeea678a4ee57b38208b

Observation 38d54208-b661-4e8c-833f-f7a28c9e35e2 · outbound

This paper cites $\pi^3$: Permutation-Equivariant Visual Geometry Learning.

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression $\pi^3$: Permutation-Equivariant Visual Geometry Learning

Reference 18

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source=pdf_text observed=2026-08-02T11:59:15.355575Z digest=sha256:838756350e3360db7a1618d64905e0a4eb992b3d1f56e34fc679a94d5e251344

Observation 3d158352-2aa8-4799-88dd-f01014686443 · outbound

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

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory

Reference 19

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no resolver link, observed 2026-08-02T11:59:15.498644Z

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source=pdf_text observed=2026-08-02T11:59:15.498644Z digest=sha256:2a4d42062e20c94279a44839a0c39ea05c265dcda04d73ea76bca205cd09b7f8

Observation e0d5e855-90b4-4287-b20c-ac0b3a3ed773 · outbound

This paper cites Cogvideox: Text-to-video diffusion models with an expert transformer.

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression Cogvideox: Text-to-video diffusion models with an expert transformer

Reference 20

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source=pdf_text observed=2026-08-02T11:59:15.671084Z digest=sha256:6c1a62781de29e5f06a5041eb1e5a473220b5608cf3ab2e9764744fbfebfd206

Observation efb85e1e-7e10-4d00-9406-893d521424ea · outbound

This paper cites Yan: Foundational Interactive Video Generation.

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression Yan: Foundational Interactive Video Generation

Reference 21

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source=pdf_text observed=2026-08-02T11:59:15.826169Z digest=sha256:4b3941ce45f0728743f88f896f49cc96ddb81fa49c77f4293adc971b2406f094

Observation d36e5299-2ac3-4209-a828-5c491ca8b853 · outbound

This paper cites minWM: A Full-Stack Open-Source Framework for Real-Time Interactive Video World Models.

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression minWM: A Full-Stack Open-Source Framework for Real-Time Interactive Video World Models

Reference 22

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source=pdf_text observed=2026-08-02T11:59:15.978300Z digest=sha256:5302110205003dcf5f6253476aa9ea8f37531f696e39e4f91a572a4cd5941855

Observation 34bc9b8f-bb56-43a3-b8da-de20b3f7a86c · outbound

This paper cites Yume: An Interactive World Generation Model.

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression Yume: An Interactive World Generation Model

Reference 2023

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no resolver link, observed 2026-08-02T11:59:13.960726Z

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source=pdf_text observed=2026-08-02T11:59:13.960726Z digest=sha256:25ac8acfc28bc9e5d82e1ded2817a5446d142c1fd8c8ecb65098a61275c1fffb

Observation 2438cf5a-ef83-4354-b95f-cb32c435d9aa · outbound

This paper cites Vidarc: Embodied video diffusion model for closed-loop control.arXiv preprint arXiv:2512.17661,.

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression Vidarc: Embodied video diffusion model for closed-loop control.arXiv preprint arXiv:2512.17661,

Reference 2024

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source=pdf_text observed=2026-08-02T11:59:12.958249Z digest=sha256:b08bff767e7194d2092b60d9b2b94aa249b62eea802b9fa5ae7491ccb8b442b4

Observation b72fe840-58c4-4a2e-a7ce-0ada4fa6ed0b · outbound

This paper cites Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models.

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models

Reference 2025

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no resolver link, observed 2026-08-02T11:59:12.867166Z

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source=pdf_text observed=2026-08-02T11:59:12.867166Z digest=sha256:be7cc29764ed706b8a0bd976bcdf7d695d15977758adeac696186d78545fa2a8

Observation c9363803-0050-4a33-8e5c-7999f7401084 · outbound

This paper cites Openvid-1m: A large-scale high-quality dataset for text-to-video generation.

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression Openvid-1m: A large-scale high-quality dataset for text-to-video generation

Reference 2026

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source=pdf_text observed=2026-08-02T11:59:14.371711Z digest=sha256:b1e6895581c47323f5de1739d149bf13a2998063803fc7c258d1faa5b8aa8812

Pith citing papers

Observation 8db2465e-9fd2-4a85-a945-56f82af02f91 · inbound

DreamForge-World 0.1 Preview: A Low-Compute Real-Time Controllable World Model cites this paper.

DreamForge-World 0.1 Preview: A Low-Compute Real-Time Controllable World Model BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression

Reference 27

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local_arxiv, observed 2026-06-30T07:34:21.489288Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T07:32:03.567262Z digest=sha256:c8b4494774018322ade3cb64bc3899a3fe6b4b496835f9e82fd480d40d6ad6b4

Observation 7f266ed9-2f5d-400c-af3f-6105a7276130 · inbound

DistillAlign: Coordinating Mode Covering and Mode Seeking in Autoregressive Video Distillation cites this paper.

DistillAlign: Coordinating Mode Covering and Mode Seeking in Autoregressive Video Distillation BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression

Reference 11

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source=pdf_text observed=2026-07-30T20:22:55.016830Z digest=sha256:5182ae77b46fabf2fbc4f276a797b50e995ce99f87367be883848307faa334ce