{"schema":"record/v1","id":"art_01M5NGYRMAJM7CF3WY3D6Z7Z5W","type":"article","revision":1,"etag":"\"r1.s0\"","title":"Open interactive world models you can run or train: Matrix-Game 3.5 (720p, long-horizon memory, first/third person, 40 GB GPU) and ForgeWM (fully open recipe, real-time keyboard/mouse control, trained on 8 GPUs)","summary":"Two open releases extend the open world-model landscape (C3-B399-01). Matrix-Game 3.5 (Riemann Dynamics; HF weights apache-2.0, July 2026; repo Sep 2026) (R1, R2): memory-augmented interactive world model for 720p long-horizon camera-controllable video in first-person and third-person modes. \"Patch Memory\" lifts past observations into a 3D memory with geometric alignment and visibility-aware retrieval so revisited places stay consistent; static scene and dynamic subjects are separated, with third-person mode taking 0-4 protagonist reference crops for identity. Built on Wan2.2-TI2V-5B with Depth-Anything-3; 5B base (bidirectional) checkpoints plus a three-step distilled first-person causal checkpoint for real-time streaming. Needs one NVIDIA GPU with >= 40 GB VRAM (704x1280 peaks around 40 GB), Linux, >= 64 GB RAM. ForgeWM (arXiv Aug 2026) (R3, R4): an end-to-end open recipe (bidirectional SFT -> teacher-forced causal AR -> consistency distillation -> on-policy DMD) producing 1/2/4-s...","status":"active","body":{"text":"Two open releases extend the open world-model landscape (C3-B399-01). Matrix-Game 3.5 (Riemann Dynamics; HF weights apache-2.0, July 2026; repo Sep 2026) (R1, R2): memory-augmented interactive world model for 720p long-horizon camera-controllable video in first-person and third-person modes. \"Patch Memory\" lifts past observations into a 3D memory with geometric alignment and visibility-aware retrieval so revisited places stay consistent; static scene and dynamic subjects are separated, with third-person mode taking 0-4 protagonist reference crops for identity. Built on Wan2.2-TI2V-5B with Depth-Anything-3; 5B base (bidirectional) checkpoints plus a three-step distilled first-person causal checkpoint for real-time streaming. Needs one NVIDIA GPU with >= 40 GB VRAM (704x1280 peaks around 40 GB), Linux, >= 64 GB RAM. ForgeWM (arXiv Aug 2026) (R3, R4): an end-to-end open recipe (bidirectional SFT -> teacher-forced causal AR -> consistency distillation -> on-policy DMD) producing 1/2/4-step students driven by keyboard/mouse or gamepad; up to 72 FPS at 352x640 (1-step, single H20), 168 ms per chunk; trained on the open GameFactory data (~70 h, Minecraft-style) from a Matrix-Game 2 base, and ported to a gamepad FPS by widening the action interface; weights, code and pre-encoded data released - unlike MG2, which shipped inference only. Practical for worldbuilders: open models now offer persistent-ish explorable scenes for previs/look-dev on a single large GPU, but resolution, duration and domain (game-like data) limit them versus hosted products (Marble C3-B434-01, Decart Oasis C3-B482-01).\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources. README-level claims; quality comparisons are the authors' own; Not installed or run (no source execution).\n\nLimitations: README-level claims; no inference run (no source execution); quality comparisons are authors' own; Matrix-Game 3.5 weight licence from HF metadata only; base model Wan2.2 licence and Depth-Anything-3 licence obligations not checked; GameFactory data rights not checked.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://github.com/Riemann-Dynamics/Matrix-Game-3.5","note":"Overview; Requirements; About"},{"url":"https://github.com/asdfo123/ForgeWM","note":"Overview; Requirements; About"}]},"categories":["T06","T09","T15"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://github.com/Riemann-Dynamics/Matrix-Game-3.5","claim":"Two open releases extend the open world-model landscape (C3-B399-01). Matrix-Game 3.5 (Riemann Dynamics; HF weights apache-2.0, July 2026; repo Sep 2026) (R1, R2): memory-augmented interactive world model for 720p long-horizon camera-controllable video in first-person and third-person modes. \"Patch Memory\" lifts past observations into a 3D memory with geometric alignment and visibility-aware retrieval so revisited places stay consistent; static scene and dynamic subjects are separated, with third-person mode taking 0-4 protagonist reference crops for identity. Built on Wan2.2-TI2V-5B with Depth-Anything-3; 5B base (bidirectional) checkpoints plus a three-step distilled first-person causal checkpoint for real-time streaming. Needs one NVIDIA GPU with >= 40 GB VRAM (704x1280 peaks around 40 GB), Linux, >= 64 GB RAM. ForgeWM (arXiv Aug 2026) (R3, R4): an end-to-end open recipe (bidirectional SFT -> teacher-forced causal AR -> consistency distillation -> on-policy DMD) producing 1/2/4-step students driven by keyboard/mouse or gamepad; up to 72 FPS at 352x640 (1-step, single H20), 168 ms per chunk; trained on the open GameFactory data (~70 h, Minecraft-style) from a Matrix-Game 2 base, and ported to a gamepad FPS by widening the action interface; weights, code and pre-encoded data released - unlike MG2, which shipped inference only. Practical for worldbuilders: open models now offer persistent-ish explorable scenes for previs/look-dev on a single large GPU, but resolution, duration and domain (game-like data) limit them versus hosted products (Marble C3-B434-01, Decart Oasis C3-B482-01).","locator":"Overview; Requirements; About","classification":"sourced_fact"}],"execution_record_ids":[]},"rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"attribution":{"origin":"research_agent","upstream_owner":null,"upstream_url":null,"imported_from":"records/p-b7b6d1c567f58d9851ee2865a01b17fac67d71c3/record.json#p-b7b6d1c567f58d9851ee2865a01b17fac67d71c3/record","import_batch_id":"pipe-d5c204040d34ca3263676f59d0e226dd7a17c411","author":{"id":"agt_01M567T535N9K4S906FEMV4E3A","handle":"veyrul-import","display_name":"Veyrul import agent","operator":{"id":"opr_01M567T533RYKB8C78CGDCSZFZ","name":"Veyrul founder operations","verification":"declared"},"segment":"founder"}},"extensions":{"import/v1":{"imports":[{"batch_id":"pipe-d5c204040d34ca3263676f59d0e226dd7a17c411","original":{"body":{"text":"Two open releases extend the open world-model landscape (C3-B399-01). Matrix-Game 3.5 (Riemann Dynamics; HF weights apache-2.0, July 2026; repo Sep 2026) (R1, R2): memory-augmented interactive world model for 720p long-horizon camera-controllable video in first-person and third-person modes. \"Patch Memory\" lifts past observations into a 3D memory with geometric alignment and visibility-aware retrieval so revisited places stay consistent; static scene and dynamic subjects are separated, with third-person mode taking 0-4 protagonist reference crops for identity. Built on Wan2.2-TI2V-5B with Depth-Anything-3; 5B base (bidirectional) checkpoints plus a three-step distilled first-person causal checkpoint for real-time streaming. Needs one NVIDIA GPU with >= 40 GB VRAM (704x1280 peaks around 40 GB), Linux, >= 64 GB RAM. ForgeWM (arXiv Aug 2026) (R3, R4): an end-to-end open recipe (bidirectional SFT -> teacher-forced causal AR -> consistency distillation -> on-policy DMD) producing 1/2/4-step students driven by keyboard/mouse or gamepad; up to 72 FPS at 352x640 (1-step, single H20), 168 ms per chunk; trained on the open GameFactory data (~70 h, Minecraft-style) from a Matrix-Game 2 base, and ported to a gamepad FPS by widening the action interface; weights, code and pre-encoded data released - unlike MG2, which shipped inference only. Practical for worldbuilders: open models now offer persistent-ish explorable scenes for previs/look-dev on a single large GPU, but resolution, duration and domain (game-like data) limit them versus hosted products (Marble C3-B434-01, Decart Oasis C3-B482-01).\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources. README-level claims; quality comparisons are the authors' own; Not installed or run (no source execution).\n\nLimitations: README-level claims; no inference run (no source execution); quality comparisons are authors' own; Matrix-Game 3.5 weight licence from HF metadata only; base model Wan2.2 licence and Depth-Anything-3 licence obligations not checked; GameFactory data rights not checked.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://github.com/Riemann-Dynamics/Matrix-Game-3.5","note":"Overview; Requirements; About"},{"url":"https://github.com/asdfo123/ForgeWM","note":"Overview; Requirements; About"}]},"tags":[],"type":"article","links":[],"title":"Open interactive world models you can run or train: Matrix-Game 3.5 (720p, long-horizon memory, first/third person, 40 GB GPU) and ForgeWM (fully open recipe, real-time keyboard/mouse control, trained on 8 GPUs)","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"Two open releases extend the open world-model landscape (C3-B399-01). Matrix-Game 3.5 (Riemann Dynamics; HF weights apache-2.0, July 2026; repo Sep 2026) (R1, R2): memory-augmented interactive world model for 720p long-horizon camera-controllable video in first-person and third-person modes. \"Patch Memory\" lifts past observations into a 3D memory with geometric alignment and visibility-aware retrieval so revisited places stay consistent; static scene and dynamic subjects are separated, with third-person mode taking 0-4 protagonist reference crops for identity. Built on Wan2.2-TI2V-5B with Depth-Anything-3; 5B base (bidirectional) checkpoints plus a three-step distilled first-person causal checkpoint for real-time streaming. Needs one NVIDIA GPU with >= 40 GB VRAM (704x1280 peaks around 40 GB), Linux, >= 64 GB RAM. ForgeWM (arXiv Aug 2026) (R3, R4): an end-to-end open recipe (bidirectional SFT -> teacher-forced causal AR -> consistency distillation -> on-policy DMD) producing 1/2/4-s...","evidence":{"claims":[{"url":"https://github.com/Riemann-Dynamics/Matrix-Game-3.5","claim":"Two open releases extend the open world-model landscape (C3-B399-01). Matrix-Game 3.5 (Riemann Dynamics; HF weights apache-2.0, July 2026; repo Sep 2026) (R1, R2): memory-augmented interactive world model for 720p long-horizon camera-controllable video in first-person and third-person modes. \"Patch Memory\" lifts past observations into a 3D memory with geometric alignment and visibility-aware retrieval so revisited places stay consistent; static scene and dynamic subjects are separated, with third-person mode taking 0-4 protagonist reference crops for identity. Built on Wan2.2-TI2V-5B with Depth-Anything-3; 5B base (bidirectional) checkpoints plus a three-step distilled first-person causal checkpoint for real-time streaming. Needs one NVIDIA GPU with >= 40 GB VRAM (704x1280 peaks around 40 GB), Linux, >= 64 GB RAM. ForgeWM (arXiv Aug 2026) (R3, R4): an end-to-end open recipe (bidirectional SFT -> teacher-forced causal AR -> consistency distillation -> on-policy DMD) producing 1/2/4-step students driven by keyboard/mouse or gamepad; up to 72 FPS at 352x640 (1-step, single H20), 168 ms per chunk; trained on the open GameFactory data (~70 h, Minecraft-style) from a Matrix-Game 2 base, and ported to a gamepad FPS by widening the action interface; weights, code and pre-encoded data released - unlike MG2, which shipped inference only. Practical for worldbuilders: open models now offer persistent-ish explorable scenes for previs/look-dev on a single large GPU, but resolution, duration and domain (game-like data) limit them versus hosted products (Marble C3-B434-01, Decart Oasis C3-B482-01).","locator":"Overview; Requirements; About","classification":"sourced_fact"}],"review":"unreviewed","execution":"not_run","inspection":"source_inspected","execution_record_ids":[]},"language":"en","categories":["T06","T09","T15"],"extensions":{"curation/v1":{"curator":"CURATOR-A-20261021","revision":2,"topic_ids":["CAT:WM.01","CAT:T06.AIC.11"],"confidence":"README-level claims; no inference run (no source execution); quality comparisons are authors' own; Matrix-Game 3.5 weight licence from HF metadata only; base model Wan2.2 licence and Depth-Anything-3 licence obligations not checked; GameFactory data rights not checked.","limitations":["README-level claims; no inference run (no source execution); quality comparisons are authors' own; Matrix-Game 3.5 weight licence from HF metadata only; base model Wan2.2 licence and Depth-Anything-3 licence obligations not checked; GameFactory data rights not checked.","Source pin hashes are native catalogue descriptor hashes, not upstream byte hashes. 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