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Paper Citation Record · LEDGER

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models

As of 15 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 3 inbound Pith citation observations for arXiv:2605.18601.

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

pith.paper-citation-record.v1
2605.18601 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T18:52:51.601629Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:52:22.729219Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved49
  • parse uncertain1
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ed220330-3a6d-4f2d-ae10-364f8e51338a · outbound

This paper cites COMBAT: Conditional world models for behavioral agent training.arXiv preprint arXiv:2603.00825, 2026.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models COMBAT: Conditional world models for behavioral agent training.arXiv preprint arXiv:2603.00825, 2026

Reference 1

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:dede047964098f96c7b9d7631aad8b3df3f61713638c2eb130523f8c877906d5

Observation 069ebe26-5451-47ea-a010-13035a3531e0 · outbound

This paper cites Diffusion for world modeling: Visual details matter in Atari.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Diffusion for world modeling: Visual details matter in Atari

Reference 2

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:46d60d1aa77da69161ad6c48d094c87e7d49a763b3b1379f8e2982b70337fe5c

Observation 2abf4d6b-5636-4223-8070-8742adaffb12 · outbound

This paper cites Logic-Guided Vector Fields for Constrained Generative Modeling.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Logic-Guided Vector Fields for Constrained Generative Modeling

Reference 3

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:f3285361414cda12c96bd0820c5e4d82adbf11a643b8c67399d0764e7cad8614

Observation df93fc51-6baf-4ccc-a75a-f70a1e81bd34 · outbound

This paper cites Qwen Technical Report.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Qwen Technical Report

Reference 4

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:10b58c8700bec43d1f441c656ce898144f8aa4e31838a866c3f9f516a575c1ee

Observation 41fb72aa-21d1-4f52-be3b-024741847c36 · outbound

This paper cites Qwen3-VL Technical Report.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Qwen3-VL Technical Report

Reference 5

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:9f8c9a547c7249779348894aa034521028b000e86c3db86505c04d38579d40da

Observation 0b576a7e-0139-42d4-a898-eb85eb56d9ba · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 6

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:dbfa183b7a95f5fe15692a192009ac908d4b67198b81af96d3095312174268d5

Observation 57fb4385-2c84-432c-aab6-ffa477e5ce1f · outbound

This paper cites Taehv: Tiny autoencoder for hunyuan video.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Taehv: Tiny autoencoder for hunyuan video

Reference 7

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:cc33b132e69b89df09f190fcad147af58845268cf9625a9ae9b5afe16a9d92a3

Observation 2610666d-fe51-4bb1-9519-5dd301a4ef38 · outbound

This paper cites Genie: Generative interactive environments.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Genie: Generative interactive environments

Reference 8

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:0a7f6a4decc84edb757355c684af11ae6d3e3580c4d899990f4be2921d7d9efa

Observation c3061091-7385-4b50-856e-f0d551e7faf4 · outbound

This paper cites GameGen-X: Interactive open-world game video generation.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models GameGen-X: Interactive open-world game video generation

Reference 9

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:46c4ff416097a388f9816fe62bc807a3f76e4d7cc52366744c9414ca4644d6cf

Observation 64b7558b-91d6-4bbb-be6f-94663ee85c32 · outbound

This paper cites Christopher, Michael Cardei, Jinhao Liang, and Ferdinando Fioretto.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Christopher, Michael Cardei, Jinhao Liang, and Ferdinando Fioretto

Reference 10

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:24f33e86114b65c058c99b1c6591df5da746963fe137de972736d62c1dcfb149

Observation eedac858-e1ad-4fba-bc09-565e5cf0aa9c · outbound

This paper cites Oasis: A universe in a transformer.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Oasis: A universe in a transformer

Reference 11

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:1d8d7d0739db79d2f900b1871707b95f9e91a2bafeecaceeba1ddd9240832f39

Observation 53ca33d5-70b8-4527-b353-8f86bb8252a6 · outbound

This paper cites LiveWorld: Simulating out-of-sight dynamics in generative video world models.arXiv preprint arXiv:2603.07145, 2026.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models LiveWorld: Simulating out-of-sight dynamics in generative video world models.arXiv preprint arXiv:2603.07145, 2026

Reference 12

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:a89b70ebeacf7d4ff2ea93347d55ab6f5efba67f32b1fe439cf8b6705c15d7e3

Observation 7b4c8b9e-c0f6-4118-be8c-aeca27cd6e62 · outbound

This paper cites The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control

Reference 13

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:ea8814c383f05a71a821375445ade9b0e737b41b6e5b127e969c76811d2772e8

Observation ac052b71-7848-476f-a564-efe10298f27c · outbound

This paper cites an unresolved cited work.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Unresolved cited work

Reference 14

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:56c58647fe359f49eba887c54f0d6ea5b86ccce2b3b321abfe0ef7529d35de15

Observation 80d2d776-a178-4a56-b745-cae2ce2a6c17 · outbound

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

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Genie 3: A new frontier for world models

Reference 15

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:d90af51bb3c9ab3d5bb16027a68fa31e83deffca5aef1e72e9829432cbfaaa89

Observation cfd16484-d54a-4501-a192-90439234dbc1 · outbound

This paper cites MineWorld: a Real-Time and Open-Source Interactive World Model on Minecraft.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models MineWorld: a Real-Time and Open-Source Interactive World Model on Minecraft

Reference 16

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:c6c48fab175b7ce540a17ebaf34d7569bb599eaa899d0af037c6ff8a74def26e

Observation 432fc116-eadc-418e-b00f-b4364a59ed65 · outbound

This paper cites Recurrent world models facilitate policy evolution.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Recurrent world models facilitate policy evolution

Reference 17

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:ba6ad68e4141dd28091819a6c7953c187fa45c3cd75d4d616eaebd4eb37a313d

Observation 8864e3e1-289a-4b43-9e64-c4f138d4f5cf · outbound

This paper cites Mastering diverse control tasks through world models.Nature, 640:647–653, 2025.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Mastering diverse control tasks through world models.Nature, 640:647–653, 2025

Reference 18

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:e2dba956a528e1b590929a5230349c63620d38f5bc43b9cc285ce75c2a794a31

Observation 05293efe-dfbc-4a40-9d30-beed4535dddb · outbound

This paper cites LM- Infinite: Zero-shot extreme length generalization for large language models.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models LM- Infinite: Zero-shot extreme length generalization for large language models

Reference 19

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:9ab8e74d904b9cb5601a519e415caaf457765117c17cf4aca48a6e198f53efba

Observation 0984a8a6-3d33-4a3c-a7bc-9665337ed24e · outbound

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

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Matrix-game 2.0: An open-source real-time and streaming interactive world model

Reference 20

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:ce30ebbeb8d0215a97bb90300a693ce04f25e5dde0b36e601d18fecd7dc69624

Observation 1f2345db-6aca-40d3-b984-02531c89d8e1 · outbound

This paper cites an unresolved cited work.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Unresolved cited work

Reference 21

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:9ee3287cd6b3b44b531e8536d5fa8c43c806d4f1dadc49d6dc1c1a971670fd85

Observation f18d5bdf-a9e7-4ef3-b76d-799ac7ed58cd · outbound

This paper cites Vid2World: Crafting video diffusion models to interactive world models.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Vid2World: Crafting video diffusion models to interactive world models

Reference 22

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:1fe683627296f652894490a6ae49436953e5a10f45062ea587137ecbc5478a03

Observation b4092886-00fc-400f-9ab0-c96ebce846e9 · outbound

This paper cites Self forcing: Bridging the train-test gap in autoregressive video diffusion.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Self forcing: Bridging the train-test gap in autoregressive video diffusion

Reference 23

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:2728a8456cae2467ac07aa72c13835bd7d131c4f75d7f9f4d2d1ae6033deb45b

Observation a8f84395-7d92-4415-9b37-73efec7ff069 · outbound

This paper cites Kling AI launches 3.0 model, ushering in an era where everyone can be a director.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Kling AI launches 3.0 model, ushering in an era where everyone can be a director

Reference 24

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:687d2c3fbffdc650725e080f990dab1e62d740cf595033ee483102f10aaea289

Observation 7315d4bd-ccbc-4cc1-8dc3-a493e64e7d44 · outbound

This paper cites an unresolved cited work.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Unresolved cited work

Reference 25

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:70a1a01c55f6a95e547e2b291c9ba9e78df1c4482323cbf4c10923cf4caaaf3b

Observation 1806e37c-57c9-41fe-8d62-321223bb8138 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Retrieval-augmented generation for knowledge-intensive NLP tasks

Reference 26

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:b790cee57786b23053f420b47e894e19caa33221f7349a9585d9fd396a7c838e

Observation 036c5be8-c10d-4eff-b649-c3eb5c2545cd · outbound

This paper cites Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement Learning.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement Learning

Reference 27

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:dcbbe041c93dcc1023ee5db643de430e0482d95d5b448c1dc319df54143644d3

Observation feba33f3-6fe1-43c5-aabf-9ee11787a76a · outbound

This paper cites an unresolved cited work.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Unresolved cited work

Reference 28

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:9d9948ee46f51435e2b0561064875de8969768544bfb9cb0494fc1cef62d2720

Observation 910603a1-7e41-4c9f-b710-9b4b99a51a0e · outbound

This paper cites Genie 2: A large-scale foundation world model.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Genie 2: A large-scale foundation world model

Reference 29

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:51a04bea31507d929d992db8117015eb0abf54604e14d004c9a13c305085b9e4

Observation a5dd6eac-4eaa-4c94-b0b2-34296eb33237 · outbound

This paper cites MultiGen: Level-design for editable multiplayer worlds in diffusion game engines.arXiv preprint arXiv:2603.06679, 2026.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models MultiGen: Level-design for editable multiplayer worlds in diffusion game engines.arXiv preprint arXiv:2603.06679, 2026

Reference 30

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:2aeb19624626c9debf88cca1fe02c73143b48a7dc69737ae54b978971fc9fd51

Observation 679268ca-00e9-4e1f-84d4-d9cb9bb87dfc · outbound

This paper cites A VID: Adapting video diffusion models to world models.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models A VID: Adapting video diffusion models to world models

Reference 31

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:8740f01efe3ffab53e4ccc07786d1d36e93201ed72cb666b7ef0313ea40190de

Observation 30744923-bba2-4bec-9767-50ccfbc62816 · outbound

This paper cites Solaris: Building a multiplayer video world model in Minecraft.arXiv preprint arXiv:2602.22208, 2026.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Solaris: Building a multiplayer video world model in Minecraft.arXiv preprint arXiv:2602.22208, 2026

Reference 32

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:77ef2d33d9e4c09835353794f38084d31c7cb1dc5464cc2101ba73c5d6372260

Observation 5c082112-ccfc-48b8-a536-618b8bf7751a · outbound

This paper cites Zero-shot conditioning of score-based diffusion models by neuro-symbolic constraints.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Zero-shot conditioning of score-based diffusion models by neuro-symbolic constraints

Reference 33

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:57ae5d8fbeb6f38a2a802cb09236c843206184e15c4e55b247d1e8b9bb984f0d

Observation a3b836b9-16c7-4f36-a463-721592ee5dab · outbound

This paper cites Seedance 2.0: Advancing Video Generation for World Complexity.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Seedance 2.0: Advancing Video Generation for World Complexity

Reference 34

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:24efc8ad3eb966b216dca2114580047705b7cd7398c273118e6e7847b0746224

Observation 04abc33d-07b9-40db-8ccc-8b1c77fce57d · outbound

This paper cites BlendRL: A framework for merging symbolic and neural policy learning.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models BlendRL: A framework for merging symbolic and neural policy learning

Reference 35

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:d5c27639b75a2cc97843dcb0fbf2cb31acc4b5b86b69e8775131939fd8c2963b

Observation 196d4d88-7341-4cd0-8d42-9ffe272ec6fd · outbound

This paper cites Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, et al.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, et al

Reference 36

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:84aca37f607432c0419b97e0f6a7f43baa79353571809f3d71bafea938b74a0b

Observation da94178f-0550-4a04-aebb-68df13a1b822 · outbound

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

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling

Reference 37

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:a6ab75452d97dd99feb2a967f4b7a9ad9285d139f704831851198839ec5a9ee3

Observation ee0ae98e-7af7-4f76-a784-5776b7ed6750 · outbound

This paper cites Hunyuan-gamecraft-2: Instruction- following interactive game world model.arXiv preprint arXiv:2511.23429, 2025.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Hunyuan-gamecraft-2: Instruction- following interactive game world model.arXiv preprint arXiv:2511.23429, 2025

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:0d0d6a7589ad61f4dc279368a5e2502d46c9ef892b5b5e17c5426308d05deecb

Observation 2268caaf-8199-44ee-b44e-b335de551a71 · outbound

This paper cites Advancing Open-source World Models.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Advancing Open-source World Models

Reference 39

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:ad7bd9a14459500d1b1b3f5a2fd9f57e72c1316d23b40fbed5ba0142d4183aa8

Observation e6840409-fa61-4ae4-9662-77cec381a782 · outbound

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

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Wan: Open and Advanced Large-Scale Video Generative Models

Reference 40

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:67a4214f7ee34d5157fec1900db2ea96505cb2f577a923800cdda83162e183c0

Observation e5c063e3-5d75-478b-a622-54023ceb80d0 · outbound

This paper cites Diffusion models are real-time game engines.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Diffusion models are real-time game engines

Reference 41

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:de4e1b3472d65e1c45e13bd7e1fc9e9201f1ab303f2f438a6d72ed43d03affe3

Observation 6e3917a8-863f-4145-9525-6c741359184a · outbound

This paper cites Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H

Reference 42

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:910a7d03ea7340b15fd1e258a3d0f6150f1b51408567e1e45f82c8d915058af5

Observation b15b46b7-21c7-4a41-bd19-bd123d40450a · outbound

This paper cites Memory Networks.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Memory Networks

Reference 43

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:5f157a327acd621bea0dbd6978efb9bc0a5fa315b356d5bab8766d9b17b07dbb

Observation dc3d0b44-dd99-48a9-a2ce-3c83b6ea6be5 · outbound

This paper cites Infinite-World: Scaling interactive world models to 1000-frame horizons via pose-free hierarchical memory.arXiv preprint arXiv:2602.02393, 2026.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Infinite-World: Scaling interactive world models to 1000-frame horizons via pose-free hierarchical memory.arXiv preprint arXiv:2602.02393, 2026

Reference 44

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:c2118cfbb5497d25703f3181987cdcbe438876f68c1c6289d2ee2bf2510167f4

Observation dcea1b98-ad2a-416e-b7c5-7eb71935959f · outbound

This paper cites Efficient streaming language models with attention sinks.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Efficient streaming language models with attention sinks

Reference 45

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:b070140703db3f2a0c53ad18b0a2588a5966020ca259162bf33a6918748c5662

Observation 0502c302-e9b5-41eb-b1cb-b7dcd1615665 · outbound

This paper cites LongLive: Real-time Interactive Long Video Generation.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models LongLive: Real-time Interactive Long Video Generation

Reference 46

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:0e76162dd806c6ea13f898493164e8713fd3a8c11732dc963e71c3052e5c3ddd

Observation 64f9cf91-b4fa-430e-aad4-dcb083fbf51b · outbound

This paper cites Freeman, and Taesung Park.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Freeman, and Taesung Park

Reference 47

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:a7d0c7c979d92527e7ca42cab17d970c87100ec3bd8041d41e0b7456e245788b

Observation 7cba8ad9-f50c-4804-b11f-a8dd494f807a · outbound

This paper cites GameFactory: Creating new games with generative interactive videos.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models GameFactory: Creating new games with generative interactive videos

Reference 48

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:49a4a185dc6a7df5df963ed764a02a244f43b9ef6d1e8aed4d384d1a539617c6

Observation 8a1ac188-0d11-46df-9642-82d6bd2792dd · outbound

This paper cites Matrix-Game: Interactive World Foundation Model.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Matrix-Game: Interactive World Foundation Model

Reference 49

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:04e4f2965e943334c216685457513406b0025afa7a1b4c8ee5f636b3d58b5dc7

Observation 78952a23-cef9-496d-a121-d352a84ff508 · outbound

This paper cites Neuro-symbolic synergy for interactive world modeling.arXiv preprint arXiv:2602.10480, 2026.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models Neuro-symbolic synergy for interactive world modeling.arXiv preprint arXiv:2602.10480, 2026

Reference 50

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:a5640caf80e541ee50304afd973337af78f66f1350f126f404a1b50fb51a9491

Observation cdbb3461-21d0-46e4-9ab4-5eeb795ad5f4 · outbound

This paper cites ShareVerse: Multi-Agent Consistent Video Generation for Shared World Modeling.

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models ShareVerse: Multi-Agent Consistent Video Generation for Shared World Modeling

Reference 51

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source=pdf_text observed=2026-07-14T18:52:51.601629Z digest=sha256:4381f200af9450c4712815ad009e45caf289f2a0a7a89d0dbba19b220abea4d0

Pith citing papers

Observation dbea1ee1-fa18-48d4-b6d1-9eaa06a42994 · inbound

From Pixels to States: Rethinking Interactive World Models as Game Engines cites this paper.

From Pixels to States: Rethinking Interactive World Models as Game Engines Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models

Reference 112

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source=pdf_text observed=2026-08-02T02:52:22.729219Z digest=sha256:c4281014b1743d07a6d6791da1a7cdcf3fc7f90ea25f2f2f58239d71547d1d3d

Observation 25fb198b-fb40-4bc8-813d-c34c441cef53 · inbound

StatePlay: State-Aware Game World Models for Mechanics-Consistent Generation cites this paper.

StatePlay: State-Aware Game World Models for Mechanics-Consistent Generation Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models

Reference 37

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source=arxiv_source observed=2026-07-30T22:05:36.761742Z digest=sha256:9d309283b69185764c90e4c680c61405633e8447818e500c747f574541537c79

Observation f83cb955-d2ab-4a4a-b43e-b1ea3f7b082e · inbound

ShadowDancer: Teaching Video World Models Any Action by Learning Unified Dynamics Representations from a Video and Its Shadow cites this paper.

ShadowDancer: Teaching Video World Models Any Action by Learning Unified Dynamics Representations from a Video and Its Shadow Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models

Reference 65

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no resolver link, observed 2026-07-31T09:42:46.124953Z

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source=pdf_text observed=2026-07-31T09:42:46.124953Z digest=sha256:09f281c4482ea8918045470fc018dbd08d3e3821bee904574a8f8c1d4182b33f