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Paper Citation Record · LEDGER

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

As of 4 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 2026-08-04T06:34:03.388597+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:b661f5abaadc01022cf353fc13b08b6de2e2626e52c8a87dddc7bb63f2dda214

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:dcf5b0ebe12f9ea3b0e4f25236e816b89068f3cb698eb55dfed8f106c95154c5

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=sha256:061eabf5e7eba0834ac7abd43cf6b5e2b7fb36c46957dae7cf11418f79a07dc1

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=sha256:2d5d8248a95c439309de6b2a680856b0fcded43d885da307d48792c5278916c6

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:e34a01c90490e7f8fdf93db18a52ffe1e0db637a9f253f3bc2d192509be0e8c0

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=sha256:53a8f61725fcf2235ef53c9aa2b6eb5e052f4d4827234963234e1f66719549aa

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=sha256:7f6a2d2b3876ff71650b591cb9a239d052daccd57edd824084d7135152e32d0e

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=sha256:32ce07c05eccaaa93fc0b5d9cf1964b628f40e30f19895e3202cc43df574dada

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=sha256:3aedbb82c508cc1f453a76ac5b7b0224476e342905f5690fca733da08391d50a

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=sha256:7ee4939709680392719145ac2eb9c80ee84ebb4c4c9618702677cddc083f1128

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=sha256:84da62f6be0134f32893db84172a1eaf335e113d859cebc6880b2426d38c77f9

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=sha256:4b3c44107339c47528d584fc8869218dbd1155937fedf4e88b603c085f8d3576

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=sha256:74187f6fb7247c2c5a4626ccef191212dba8f0f83f5d063fa4aa0468c3affb6d

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=sha256:8e991ab505cefa0f627ff62a1462cf026e6f98532f13122e8d1d5eac178cd086

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=sha256:4fae96858d852c06f171cc1e6f498fc51edb90f49ecf99954fcc33f7e1799250

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:c97594c4c6c08391e14115d6d8b9b97cf5b3cb1a092dfd4ee25c9456f4bf3967

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=sha256:4ef346f72ac23227ce24d6648a833af2d9ceebbf0501603d8e1dde5fdae15259

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:b9c060095e2c1ed1208d5a2b21a290c3ad12c994c6c0ab509918f72cba734ab1

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:a22381ec5b46093cb1e07c03961881ab6bdff7995e14ace4b016a01a31c2fe2c

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=sha256:9b84b362cc245f4b99f2c6e3ede779d31d5ecaa8525d32325a50ceda49cf1981

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=sha256:748f35681cd9c11e51b0073ea728f53b8dacc6064e3c82967d5532aef276db95

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:a05c7d7ddc1037e1a3ca335ca1349cec9bae670948a04225286f0025ad204e02

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:a1358ffd610a0df6a07a66cd7a25a3c68c95df7c8d02faa78e3374638d16bb24

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:e0bec4178d599cc1e61d84c94ef224012c2324e92b22ae3df4d7e7284deb3042

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=sha256:4e56f81ddc1ca942ed83623ab4afa84b15ef4c16b6072212d0d6bd1244de0473

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=sha256:63628d78d9e6fd084b1573213873501cd7ed9a980ecaa7094b1593a1ea081e73

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=sha256:4adc735d1243d1f2c68b124245275cb7004338fc143497199bab3623c1071542

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=sha256:3e187f9de018db0724a1e7e1045841f9ebd842fd3c5d6adb93af7ef484eaf878

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=sha256:3f0d7fb3377b5d291c2d8928472d1c8c484609e601205fe01c67613953442bc7

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=sha256:86ab64cb4ba889582b18c7bafd83a6eb22ffe5c3b02f89a0a6e13cc515fbf61d

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:e89ae8dd130f51e1afe9c6e81c075cbf1451c12b4ccf4d4b6e0c3a85569f4bec

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=sha256:76616d794db126a7efd2b77df32b9342eef2d02ab5b5f5b19c5d323f9e7edcca

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=sha256:2f9d3043374605444c3135dbabee62966def83ae3c401ae49b37c764502b9de5

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:b778eddb62ec194fad202aeb01f38c501ee9e9f628de9e0958b2144b75998d2c

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:da78e8511bf2f6503f2ad28e2a0c49995de4c614a52648df610e4c8a670ea5d5

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=sha256:39055a17d421c0bb7f52d77727f48f892847e02ca3da4754d9409201c2b1f401

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=sha256:0dbca1c038ca111e2044822409d19b69c9b3d093a86d7a980c30d3957a8b19ae

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=sha256:07d65da00ed9f5f446f6fbc0f4f07d57495378c17874d58eedeb51fbe8ea0ada

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=sha256:05607e886dac5a3702a70ccc6a714573d8bdce14f301eda66347d297f073783d

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:aeb5498b7345aae52d7ad881c9ebf50cea1159ce07a453c39e0982d9fc62e9be

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:f298bf2231657004e40ad03d7408061e1aa33117dee0cc70da7497fb699202f8

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=sha256:959aa2c0afbdfbaa81a0db13948463e82928c9a2d0447ba891178da2bbb3b8c9

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=sha256:3d22f01aed29186a5369cbdfcfee9e70a7f7361fc4d378b0fddf346af816296a

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=sha256:99a24ce01e7aeb0c76d8aad0ba827d6c0609d7fa4456e5b6a348263a228ebe5a

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:b7c5c40117ee8ee41b9288eb6e6b0b1413c2f790df8a5d04e8c2743cf43f3eac

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=sha256:56ab53fb5ccb0a73dc488e1cbccc9950916a9f4076f10579caa41d5c4783ba69

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:a95a8a92983743e69289893df6f44f2780d7eff24c2a8e5f481de146a33956cc

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=sha256:122dd6d5afe29a162a8f5dfd442974990997409dd44db6a65d3082a24581ed34

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=sha256:026a1d3a2742e81ad10a5642e3b1bc3446618f4c74ccafb494977c00691bf7b3

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=sha256:572fad7b673484c0b3e4badf702eae3f002140f407c3d1b1390774792a55094d

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=sha256:84fd0eafaa7ede3e6eaecfdd22c8929540d27ab22bc6fd3860b0974faab194d2

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=sha256:814c4827030b3462615971658d22a0c6ff9a78e3b3dcf20afa23eae693c16f9f

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:d5a10ec0490b6b90f3af67fac9661db2887922a76acd31a031cf2938e4c32838

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=sha256:68ee53e2f31681eed8988bb21b47dde5e53da6eb2333bf725da7a0e4381a8990