{"schema":"record/v1","id":"art_01M5MB4J9HRJ6J3DC531FB4M3S","type":"article","revision":1,"etag":"\"r1.s0\"","title":"How do papers actually check that an interactive world model did what the action or camera input asked, and what are the four basic ways of doing it?","summary":"The inspected primary papers use four different checks. (1) Recover the action from the generated video with an inverse-dynamics model (IDM) and compare with the input: MineWorld reports precision/recall/F1 plus an L1 camera-bin loss, Matrix-Game reports keyboard and mouse accuracy. (2) Recover the camera path from the generated frames with SfM/SLAM and compare with the requested path: CameraCtrl (RotErr, TransErr), Hunyuan-GameCraft (relative pose error) and WorldScore (camera error). (3) Compare output with real versus random latent actions: Genie's delta-t PSNR. (4) Ask humans whether the motion matches: Yume's instruction-following score and GameCraft's 30-evaluator ranking. Each check needs its own helper model or labelled test set, so a score from one paper cannot be read against another's.","status":"active","body":{"text":"The inspected primary papers use four different checks. (1) Recover the action from the generated video with an inverse-dynamics model (IDM) and compare with the input: MineWorld reports precision/recall/F1 plus an L1 camera-bin loss, Matrix-Game reports keyboard and mouse accuracy. (2) Recover the camera path from the generated frames with SfM/SLAM and compare with the requested path: CameraCtrl (RotErr, TransErr), Hunyuan-GameCraft (relative pose error) and WorldScore (camera error). (3) Compare output with real versus random latent actions: Genie's delta-t PSNR. (4) Ask humans whether the motion matches: Yume's instruction-following score and GameCraft's 30-evaluator ranking. Each check needs its own helper model or labelled test set, so a score from one paper cannot be read against another's.\n\nCurator qualifications: Excerpted evidence located; the four check families are well supported. Two excerpt-less rows (CameraCtrl equations, Genie delta-PSNR) are consistent with C3R-0269 (Genie).\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://arxiv.org/abs/2504.08388v1","note":"Table 1; App. Table 5"},{"url":"https://arxiv.org/abs/2506.18701v1","note":"Table 1; App. Table 5"},{"url":"https://arxiv.org/abs/2404.02101v2","note":"Table 1; App. Table 5"},{"url":"https://arxiv.org/abs/2506.17201v1","note":"Table 1; App. Table 5"},{"url":"https://arxiv.org/abs/2504.00983v2","note":"Table 1; App. Table 5"},{"url":"https://arxiv.org/abs/2402.15391v1","note":"Table 1; App. Table 5"},{"url":"https://arxiv.org/abs/2507.17744v1","note":"Table 1; App. Table 5"}]},"categories":["T15","T18","T20"],"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://arxiv.org/abs/2504.08388v1","claim":"The inspected primary papers use four different checks. (1) Recover the action from the generated video with an inverse-dynamics model (IDM) and compare with the input: MineWorld reports precision/recall/F1 plus an L1 camera-bin loss, Matrix-Game reports keyboard and mouse accuracy. (2) Recover the camera path from the generated frames with SfM/SLAM and compare with the requested path: CameraCtrl (RotErr, TransErr), Hunyuan-GameCraft (relative pose error) and WorldScore (camera error). (3) Compare output with real versus random latent actions: Genie's delta-t PSNR. (4) Ask humans whether the motion matches: Yume's instruction-following score and GameCraft's 30-evaluator ranking. Each check needs its own helper model or labelled test set, so a score from one paper cannot be read against another's.","locator":"Table 1; App. Table 5","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-4cc3851c04219f4bc139600908d1d9a1ae5ddc9a/record.json#p-4cc3851c04219f4bc139600908d1d9a1ae5ddc9a/record","import_batch_id":"pipe-887d3b1d6c31f8f46f6a62fa824d46f236fb7e3a","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-887d3b1d6c31f8f46f6a62fa824d46f236fb7e3a","original":{"body":{"text":"The inspected primary papers use four different checks. (1) Recover the action from the generated video with an inverse-dynamics model (IDM) and compare with the input: MineWorld reports precision/recall/F1 plus an L1 camera-bin loss, Matrix-Game reports keyboard and mouse accuracy. (2) Recover the camera path from the generated frames with SfM/SLAM and compare with the requested path: CameraCtrl (RotErr, TransErr), Hunyuan-GameCraft (relative pose error) and WorldScore (camera error). (3) Compare output with real versus random latent actions: Genie's delta-t PSNR. (4) Ask humans whether the motion matches: Yume's instruction-following score and GameCraft's 30-evaluator ranking. Each check needs its own helper model or labelled test set, so a score from one paper cannot be read against another's.\n\nCurator qualifications: Excerpted evidence located; the four check families are well supported. Two excerpt-less rows (CameraCtrl equations, Genie delta-PSNR) are consistent with C3R-0269 (Genie).\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://arxiv.org/abs/2504.08388v1","note":"Table 1; App. Table 5"},{"url":"https://arxiv.org/abs/2506.18701v1","note":"Table 1; App. Table 5"},{"url":"https://arxiv.org/abs/2404.02101v2","note":"Table 1; App. Table 5"},{"url":"https://arxiv.org/abs/2506.17201v1","note":"Table 1; App. Table 5"},{"url":"https://arxiv.org/abs/2504.00983v2","note":"Table 1; App. Table 5"},{"url":"https://arxiv.org/abs/2402.15391v1","note":"Table 1; App. Table 5"},{"url":"https://arxiv.org/abs/2507.17744v1","note":"Table 1; App. Table 5"}]},"tags":[],"type":"article","links":[],"title":"How do papers actually check that an interactive world model did what the action or camera input asked, and what are the four basic ways of doing it?","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":"The inspected primary papers use four different checks. (1) Recover the action from the generated video with an inverse-dynamics model (IDM) and compare with the input: MineWorld reports precision/recall/F1 plus an L1 camera-bin loss, Matrix-Game reports keyboard and mouse accuracy. (2) Recover the camera path from the generated frames with SfM/SLAM and compare with the requested path: CameraCtrl (RotErr, TransErr), Hunyuan-GameCraft (relative pose error) and WorldScore (camera error). (3) Compare output with real versus random latent actions: Genie's delta-t PSNR. (4) Ask humans whether the motion matches: Yume's instruction-following score and GameCraft's 30-evaluator ranking. Each check needs its own helper model or labelled test set, so a score from one paper cannot be read against another's.","evidence":{"claims":[{"url":"https://arxiv.org/abs/2504.08388v1","claim":"The inspected primary papers use four different checks. (1) Recover the action from the generated video with an inverse-dynamics model (IDM) and compare with the input: MineWorld reports precision/recall/F1 plus an L1 camera-bin loss, Matrix-Game reports keyboard and mouse accuracy. (2) Recover the camera path from the generated frames with SfM/SLAM and compare with the requested path: CameraCtrl (RotErr, TransErr), Hunyuan-GameCraft (relative pose error) and WorldScore (camera error). (3) Compare output with real versus random latent actions: Genie's delta-t PSNR. (4) Ask humans whether the motion matches: Yume's instruction-following score and GameCraft's 30-evaluator ranking. Each check needs its own helper model or labelled test set, so a score from one paper cannot be read against another's.","locator":"Table 1; App. Table 5","classification":"sourced_fact"}],"review":"unreviewed","execution":"not_run","inspection":"source_inspected","execution_record_ids":[]},"language":"en","categories":["T15","T18","T20"],"extensions":{"curation/v1":{"curator":"CURATOR-A-20261021","revision":3,"topic_ids":["CAT:T06.AIC.01"],"confidence":"Not stated; see limitations.","limitations":["Source pin hashes are native catalogue descriptor hashes, not upstream byte hashes. 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