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Paper Citation Record · LEDGER

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players

As of 6 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 2 inbound Pith citation observations for arXiv:2605.28816.

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

pith.paper-citation-record.v1
2605.28816 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T13:34:03.020051Z

measured 67 of 67 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 2026-08-01T07:02:54.910848Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-07T15:43:53.779303Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact30
  • verified fuzzy0
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3576fa43-95a4-4b5e-a35e-0747588d303a · outbound

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

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Cosmos World Foundation Model Platform for Physical AI

Reference 1

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local_arxiv, observed 2026-06-29T13:53:29.075694Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:fb9ee36d4556b19d8fe7e0b985c7d19b6bd1e634c825069655b92714620d2ff8

Observation 2e702759-30b6-42cf-aadf-a3d2d85f50ad · outbound

This paper cites World Simulation with Video Foundation Models for Physical AI.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players World Simulation with Video Foundation Models for Physical AI

Reference 2

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local_arxiv, observed 2026-06-29T13:53:29.115357Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:15b342caa8c74d257680973e5a5235abd3e78aaec59cf78f080226501012d0ee

Observation bcff403d-0f24-4a19-88d4-5ba15c12a23d · outbound

This paper cites Alonso, A.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Alonso, A

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:8de330b200cd8bb243c6b69b891e2f9bbd8d1017e3be0f48063c613c0f216faa

Observation d1701767-31d6-470f-b89a-e349fa9f0842 · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unresolved cited work

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:05f7850d26f8125695fe09949fe1514c3dd41ed54f9f61a02e7dbc92bdd3aabd

Observation 3b3541f3-3b95-4432-b701-085f1a7d5ae0 · outbound

This paper cites Bruce, M.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Bruce, M

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:50560b07fd0ff9bec9024766cfa0fdd1631a1ba4d6539975189fb5d15eb6b1bc

Observation 0c51bcc7-3188-43b3-9e90-1ae3548eae8b · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unresolved cited work

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:167624dfdafcfac0fb2137446f61ad4c53a2bafb891b7838c8b25764f56a50a0

Observation c60d4cbb-1403-4a70-a120-2d2c90a6ff3d · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unresolved cited work

Reference 7

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no resolver link, observed 2026-06-29T13:34:03.020051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:778b806739c4fb8f9adca93870f0a0a989712ed1f9968ae13c3836a6d8d3d4c1

Observation 1ffc62f1-7175-4068-bd82-6276a92276b2 · outbound

This paper cites Deepmind.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Deepmind

Reference 8

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:cc1d2334a22702c5c0a7ee9c9d5361b3df5a81738a22fb66fa14b1a73251956f

Observation 8c1c9bbd-d967-46f3-b4f6-a977920eb446 · outbound

This paper cites Introducing Multiverse: The first AI multiplayer world model.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Introducing Multiverse: The first AI multiplayer world model

Reference 9

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no resolver link, observed 2026-06-29T13:34:03.020051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:dfd29ec32275447db4bb754bd9366e5e852ba1e94324c0287298585e9d22ef44

Observation 192fdae6-110f-4f52-ba27-d57ef3d2aa73 · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players 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=2026-06-29T13:34:03.020051Z digest=sha256:15d34560e500326ed0b945c042a2a362e4a7f5bebc8b569d9f9fb6bd2ae29359

Observation b30243cd-7ff9-422b-93a2-78009fd6bde7 · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unresolved cited work

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:56963e313d58b3f24e68192f108c4ac05b742537330111b338ddbd68f0f400f5

Observation f7449a4e-f23a-4f66-a604-f6064fe634f6 · outbound

This paper cites One Step Diffusion via Shortcut Models.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players One Step Diffusion via Shortcut Models

Reference 12

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local_arxiv, observed 2026-06-29T13:53:29.053733Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:d46944d2b31c14bfc7ffe99f417b7b6f0c7026793a777ffa76e5d22be18f8560

Observation 4307bd31-a186-40f6-8fbd-a1448affc1d1 · outbound

This paper cites Embodied AI Agents: Modeling the World.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Embodied AI Agents: Modeling the World

Reference 13

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arxiv_id, observed 2026-06-29T13:53:29.041992Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:cbb7f9e9652423d02f7466aef7b24d24ab3d7fcdb148954f307aafefe503b6c2

Observation 6f0e6dff-5548-43ad-b007-4ef9cb061ce9 · outbound

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

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos

Reference 14

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local_arxiv, observed 2026-06-29T13:53:29.098173Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:60fafd5c7b651e201efb7a5274cb0d07f8cde83fb7a3764d4e41484daf98b497

Observation c594143b-0f3c-4587-8f48-1f90d0c43d63 · outbound

This paper cites Seedance 1.0: Exploring the Boundaries of Video Generation Models.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Seedance 1.0: Exploring the Boundaries of Video Generation Models

Reference 15

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local_arxiv, observed 2026-06-29T13:53:29.104907Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:d7d3d529d367db652b500c7be6f3802127e83e943cc0db17f396d2262ecc3f21

Observation d33e03bd-42bd-4b56-89ff-4bda35755cb1 · outbound

This paper cites 10kh-realomin-opendata, 2025.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players 10kh-realomin-opendata, 2025

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:3af8caa1484a75b94eca5b3bfd07db8d5ba3f8972f67da8745af4b75be70508f

Observation c827ca11-7daa-4cde-bf8e-5aa72c4d0cdd · outbound

This paper cites Mean Flows for One-step Generative Modeling.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Mean Flows for One-step Generative Modeling

Reference 17

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local_arxiv, observed 2026-06-29T13:53:29.060805Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:324634209567959f83185977038af3374ade5b81e6aab716abbc5a348ccfcea7

Observation 78fdf597-f8c2-4107-af69-b63dcc65babd · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unresolved cited work

Reference 18

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no resolver link, observed 2026-06-29T13:34:03.020051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:c775fc95ef0ea2b9c81056872d955f1e22a56b258f9a1fbb1d49c07711327744

Observation 3243e552-a7f5-4ae6-bbaf-6b5b0a0a5341 · outbound

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

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Matrix-game 2.0: An open-source real-time and streaming interactive world model

Reference 19

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local_arxiv, observed 2026-06-29T13:53:29.056411Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:776590fb3d784b1879db033f4fefcc0671c5f95b7297d37d17044e4c2efbbac1

Observation b681c54e-1008-42b3-bd4f-c9022bd797d2 · outbound

This paper cites Henschel, L.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Henschel, L

Reference 20

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:61b1690be7602fe15d585d58ae601a680a7eff073ec09f8d65a3a1df87f89ce5

Observation 03940258-fbe7-4bad-b287-a4f074bc7136 · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unresolved cited work

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:9b20947e7a0155971839005182cc52e808ad5659fc7f118c70fefdc6facf0ef2

Observation 16798e21-d8cc-4f44-8fe8-258dfcbb8a22 · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unresolved cited work

Reference 22

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no resolver link, observed 2026-06-29T13:34:03.020051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:71e35088d3691564e4f3edc770f281fadc4b99103f382c3ce7b0e588ec39c9f5

Observation 055a755a-7af9-41f8-8a00-cd8d3424fec4 · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players GAIA-1: A Generative World Model for Autonomous Driving

Reference 23

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verified exact
local_arxiv, observed 2026-06-29T13:53:29.075907Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:86a71561a3c6fd428f08ba0dfad343e6307ccef77f1582f4573719764f633c4f

Observation 8b89e208-0b8d-4bda-a7be-edfddf0be4ae · outbound

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

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion

Reference 24

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local_arxiv, observed 2026-06-29T13:53:29.078026Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:2c90abdd15f686eb4e8aaec9e0472a563738ffdccccc7bb1d939ac757bfcb06f

Observation 1efc16d0-cd32-4eae-a780-1b6c59005bf1 · outbound

This paper cites HunyuanWorld.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players HunyuanWorld

Reference 25

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:27c08705df5c96025afd6cec5a26dcb4419269a53631e1c33fff41999e46d005

Observation 397ebee8-ce60-4174-a62a-30e1a4f42718 · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unresolved cited work

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:a17897eb7997f9e6531a0e1ffe91660cf2ed5a986a3b89ef31a9213c46f409d3

Observation d14b2b9f-c3ff-4260-b4f2-37637d9d4a67 · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unresolved cited work

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:bd41f56572b74c1a3114230cb321e156dfa226cd32344ac9d308c24b1583063c

Observation 9a4c47d6-7f7a-4f73-bb06-18b78c18a098 · outbound

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

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 28

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local_arxiv, observed 2026-06-29T13:53:29.069942Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:8bf4bd5e367e14da1bf5db63741965a5e6f7d21dc3b93c35646f717c2e7f8360

Observation 1e1ce1cd-5f54-4250-9006-3db00557bcfc · outbound

This paper cites Kling video model, 2024.https://klingai.com/global/.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Kling video model, 2024.https://klingai.com/global/

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:5e3265d69fd5bcc81d39e3bde7b52e3ea1c2e7446a803cfb7a6b75d640a9c5e4

Observation 29860421-41d1-4e4a-a1cb-1882df82b8f3 · outbound

This paper cites PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop

Reference 30

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arxiv_id, observed 2026-06-29T13:53:29.045743Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:a8a2efb14c14843f945ca58e87d9fa2c83e9e687e664c217dd0d1ffba323fc3d

Observation f489a940-3ac8-4434-b651-89c7fd5656be · outbound

This paper cites Rerope: Repurposing rope for relative camera control.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Rerope: Repurposing rope for relative camera control

Reference 31

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arxiv_id, observed 2026-06-29T13:53:29.084474Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:92e31ff1a01bc2626e7fc42dec5b2d23150a14cd3479e984ca31c028d00a7292

Observation ac90f169-925e-4deb-9549-297673adbdbc · outbound

This paper cites Causal World Modeling for Robot Control.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Causal World Modeling for Robot Control

Reference 32

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local_arxiv, observed 2026-06-29T13:53:29.087063Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:b0dec303fce0754592c43b621246be555526e1fd13b0f4b313905e8198ba71c3

Observation 03d45ecd-e7ea-4a75-8d29-b2c3978421ed · outbound

This paper cites Unified Video Action Model.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unified Video Action Model

Reference 33

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verified exact
local_arxiv, observed 2026-06-29T13:53:29.080394Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:69e88ce8d5c88c52348a8d34c674f1b4c39c47a4cbb4a69cb8c729b3880dbb0f

Observation a410089f-a6ac-4699-9217-18dee161c133 · outbound

This paper cites Dreamitate: Real-World Visuomotor Policy Learning via Video Generation.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 34

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arxiv_id, observed 2026-06-29T13:53:29.072890Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:0a7b0f6e953e001c32b08fb3ae17711692ce6bdc0df37658f7263b01b616f13b

Observation fa0b9924-00a5-4e0c-9a95-b564c8eabb53 · outbound

This paper cites SDXL-Lightning: Progressive Adversarial Diffusion Distillation.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players SDXL-Lightning: Progressive Adversarial Diffusion Distillation

Reference 35

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local_arxiv, observed 2026-06-29T13:53:29.102599Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:fb1e856eb35813c853c292cbb8faa726d7fce66ce210facb43897a8bb29944ea

Observation 4a4cdb0e-08d9-481f-b2c0-e1926a64301b · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unresolved cited work

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:81757d1a28b3d274303380a6f6bda539b1fc3f6a93904e648902bf55c885f62f

Observation 61d2f08b-931f-434a-8e2f-f06eaa9d6a2c · outbound

This paper cites Autoregressive adversarial post- training for real-time interactive video generation.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Autoregressive adversarial post- training for real-time interactive video generation

Reference 37

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verified exact
arxiv_id, observed 2026-06-29T13:53:29.110504Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:dae14736ec3e5e8626d714ad62bac1dd0842555bd785b377ba6f0e435d2fea2a

Observation 611b8967-0531-417f-8559-a82db3a58bed · outbound

This paper cites Lipman, R.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Lipman, R

Reference 38

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Observation 6b14a99d-913c-4db4-9ea3-9bf763e08024 · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unresolved cited work

Reference 39

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Observation db3f8a67-b60c-4051-a610-a96ede018aa3 · outbound

This paper cites arXiv preprint arXiv:2510.07092 (2025).

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players arXiv preprint arXiv:2510.07092 (2025)

Reference 40

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:50b4ebeafdd7a07e4f47fd15e91e1e84cd15cb224cf9ea5f94d8953c7c5de4cc

Observation 28e72e69-1ae6-441c-9682-5a651eac5f85 · outbound

This paper cites Sora video model, 2024.https://sora.chatgpt.com/.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Sora video model, 2024.https://sora.chatgpt.com/

Reference 41

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Observation a066bb07-52cb-42bf-92dc-98b7e765d781 · outbound

This paper cites Peebles and S.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Peebles and S

Reference 42

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:17e8344a2e87b7e2a4465f585d141003fb7c80010cdb1af89736e5bd05825235

Observation d7f40b9c-b731-477d-b565-de189be7b4e1 · outbound

This paper cites Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 43

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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=2026-06-29T13:34:03.020051Z digest=sha256:01dc8547885005a81cf392d9437490242283d63bcbd40245c4cca340c4313429

Observation eaac3d79-6f25-49b8-8490-9ff0db412c06 · outbound

This paper cites Rombach, A.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Rombach, A

Reference 44

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:0937077a8bd1dd35c7a6ee183bbfc400edfab5b90430cc01bac5f72bbd0eb803

Observation 6fccc51b-4916-437c-8e45-628e8f812319 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Progressive Distillation for Fast Sampling of Diffusion Models

Reference 45

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:8e000fe4ea5663cc0c54fec42ddef6ad242090be1ea3a4a9deb61dd25eacc94d

Observation f343173c-8df2-4744-8c05-4d765d7253b5 · outbound

This paper cites Sauer, F.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Sauer, F

Reference 46

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:690651bfcbc4dc3158b4e5072e6b5dd4901c3eb2384c70a576763c603c1195db

Observation c5883efa-b15f-421d-8a9e-568d1cfd400a · outbound

This paper cites Sauer, D.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Sauer, D

Reference 47

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:e6b39475aa4d7326b79c619ac21a107ceae634a129ac1ec5b8f99a4724e08d0f

Observation ad95f29e-6438-450f-a0b5-f0ea2ed44f3e · outbound

This paper cites Solaris: Building a multiplayer video world model in minecraft.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Solaris: Building a multiplayer video world model in minecraft

Reference 48

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arxiv_id, observed 2026-06-29T13:53:29.091159Z

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:53f8b06e2f280b956a9977a3fdd815b001ff7b619bf6897633dbbda241b1fa8a

Observation 445ed136-b263-43a1-8428-c0cbf57274c0 · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unresolved cited work

Reference 49

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:ce8eef29583760e8817b32c7e497ffb89a05326edc970779e026e07527b69921

Observation 4b06215e-5055-4fa4-9f90-95a472bf62f4 · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unresolved cited work

Reference 50

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:af55f26bdbdadebc62b7b7a411d8a0cee4c22aeeafb192ae5a3882b97d4f1fb1

Observation d6fd406d-c067-4215-afe2-1473eddf9952 · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unresolved cited work

Reference 51

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:fb6cae869f004ceca9a8425e5c7a3a6860f8635dd1259953dc0e3ffbf40546b5

Observation 66f497f2-1c85-47de-bf44-610899b72484 · outbound

This paper cites Diffusion Models Are Real-Time Game Engines.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Diffusion Models Are Real-Time Game Engines

Reference 52

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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=2026-06-29T13:34:03.020051Z digest=sha256:7725b9fe10ab61795661a98fd3a97e470b3fe6d2c6ec32f348afa2ad0e69fcdd

Observation a7a59ba6-eea5-4f33-a259-db9fa53471cf · outbound

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

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Wan: Open and Advanced Large-Scale Video Generative Models

Reference 53

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:8659a05516509ef95acf7652b1d8c02efa4a33e6f1d548b87c6f51583b7aeaf1

Observation 49f82345-f403-470f-a021-ee6a48af9841 · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unresolved cited work

Reference 54

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:af600891312447020f9ab0cb7389d3bca71de0b93b26cb9b3bfc14ff2524cf57

Observation 74fa3fa4-a446-41b2-b1b6-4b3f4c61aac9 · outbound

This paper cites Video models are zero-shot learners and reasoners.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Video models are zero-shot learners and reasoners

Reference 55

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local_arxiv, observed 2026-06-29T13:53:29.102899Z

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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=2026-06-29T13:34:03.020051Z digest=sha256:6c23d2b884abae65f7a764e514f2a9a17985f139d56bad60bb733c4a2dd23333

Observation 9e48ebfc-c4f2-467c-a3e1-bea0eeccd26e · outbound

This paper cites arXiv preprint arXiv:2504.12369 , year=.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players arXiv preprint arXiv:2504.12369 , year=

Reference 56

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arxiv_id, observed 2026-06-29T13:53:29.095054Z

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:62e3ba9892807e2d2d2ffb4ef5195089bc5871b9efa7c21730a172a3afd26c89

Observation cecc5223-0fa9-4976-ab69-1f91c1b8a1be · outbound

This paper cites Learning Interactive Real-World Simulators.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Learning Interactive Real-World Simulators

Reference 57

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:1f8aa266e5d2bed3d1c0a8e187f8b885c53d6df7f6d09587e2735b73d08bf8cd

Observation 3b49d24f-cc7a-4691-a97f-74e3f0be71ac · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unresolved cited work

Reference 58

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:cce1a0b4ea2851b41ba63316ae9f6601bec7ab8aa9f5457c99cc59582ff92e76

Observation d97abba0-25b0-44d3-8390-530ed06cea07 · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unresolved cited work

Reference 59

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:035ef0927548b530c619e261a775e0267ac38490999f132bb31effab05a802dd

Observation 805d1b68-6a45-4207-8bfc-666cf78d91c4 · outbound

This paper cites World Action Models are Zero-shot Policies.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players World Action Models are Zero-shot Policies

Reference 60

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local_arxiv, observed 2026-06-29T13:53:29.093362Z

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:321669b3e16ad4f8ff810d4dfa5152cc672cfa31eab13c3a830d906a2ce7ad23

Observation 98a0cc61-cd7c-4f90-a79f-7f2c546adab4 · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unresolved cited work

Reference 61

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:033a29d3f5676887ff2511da11f55f510cc60f7239f34eb427b7b9ed4b700fc4

Observation b957bf21-6fcf-4121-b009-bfd457b14279 · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unresolved cited work

Reference 62

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:ef3a945f786150f1bb328ffbd10a3162d76e29b56282998db3d9db3bf50ccee2

Observation 13ee9b20-5e60-4b6c-9d8a-1149a4d01280 · outbound

This paper cites an unresolved cited work.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Unresolved cited work

Reference 63

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:deda577736f9e677078b55e0f3fd003ae0fc70aaa029c845e5072014531ad412

Observation 90e471ac-c942-4b50-b2fc-8f0d726cf0c4 · outbound

This paper cites Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval

Reference 64

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arxiv_id, observed 2026-06-29T13:53:29.081619Z

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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=2026-06-29T13:34:03.020051Z digest=sha256:980363652a5f44ff9ec26ae97b4c9c0f3d244b98828f1a27d58b0394fbdf726d

Observation 7085b5f2-f332-4a6f-91ae-4a92a500dce1 · outbound

This paper cites arXiv preprint arXiv:2601.10553 , year=.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players arXiv preprint arXiv:2601.10553 , year=

Reference 65

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arxiv_id, observed 2026-06-29T13:53:29.100630Z

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source=pdf_text observed=2026-06-29T13:34:03.020051Z digest=sha256:5127918c7ca1694a4aeb77458a5c6e663075b8280e01dd81e75413be14b91181

Pith citing papers

Observation 28bf7022-7691-41be-9900-ee5a771ba3aa · inbound

Multiplayer Interactive World Models with Representation Autoencoders cites this paper.

Multiplayer Interactive World Models with Representation Autoencoders Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players

Reference 245

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local_arxiv, observed 2026-07-07T15:43:53.780520Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-07-07T15:38:36.897705Z digest=sha256:75b1d54d376d7ed8636e071c4ab9caba691212d6f79470d3ed6420ca2ff0da21

Observation a29c7af6-35f7-45a4-9e09-c8e86e359d2b · inbound

Streaming Multi-Agent Autoregressive Diffusion Model with World State Registers cites this paper.

Streaming Multi-Agent Autoregressive Diffusion Model with World State Registers Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players

Reference 201

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source=arxiv_source observed=2026-08-01T07:02:54.910848Z digest=sha256:108b0ffacd1a841bf8f8773cca236b09fceef53a8132bbb778e151fc3d0dd41a