{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:MQGL4FWWUEYVZGSLC3Y4W75AUH","short_pith_number":"pith:MQGL4FWW","schema_version":"1.0","canonical_sha256":"640cbe16d6a1315c9a4b16f1cb7fa0a1c274e9c80f84eb3658273912c6c5ae78","source":{"kind":"arxiv","id":"2607.20940","version":1},"attestation_state":"computed","paper":{"title":"Ms. Forcing: Efficient Streaming Video Generation with Multi-Scale Patchification and Attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abhay Mittal, Chuan Guo, Hongyu Li, Sizhe An, Srinath Sridhar, Xiaoyan Cong, Zekun Li, Zhiyang Dou","submitted_at":"2026-07-23T05:35:31Z","abstract_excerpt":"Streaming video diffusion models have made substantial progress toward interactive and dynamic world simulation, but the nested autoregressive and denoising loops of conventional next-frame generation hinder real-time deployment. Recent rolling-window methods pipeline denoising across multiple consecutive frames at different noise levels, improving throughput and long-horizon stability. However, they tokenize every state at the same fine spatial granularity, leaving substantial noise-dependent redundancy in the joint denoising window. We propose Ms.Forcing, an efficient streaming video generat"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.20940","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-23T05:35:31Z","cross_cats_sorted":[],"title_canon_sha256":"358b79291d23d7d3a50ee4cbf76c1f6d3440feee06545fc5f5bcc404884e7356","abstract_canon_sha256":"f15debccaf21e82740df71472685924b9b1ea6fb5fb5791eea70cf7faa0355fb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-24T01:23:41.902110Z","signature_b64":"m0sh7cTJLNqX01ntybH3ctEmNTQs92yrb9Pd8xiSytiGru9jTdsJIDV4FOo44oZHT06qQN/w3/uZ4tATHWtLCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"640cbe16d6a1315c9a4b16f1cb7fa0a1c274e9c80f84eb3658273912c6c5ae78","last_reissued_at":"2026-07-24T01:23:41.901248Z","signature_status":"signed_v1","first_computed_at":"2026-07-24T01:23:41.901248Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Ms. Forcing: Efficient Streaming Video Generation with Multi-Scale Patchification and Attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abhay Mittal, Chuan Guo, Hongyu Li, Sizhe An, Srinath Sridhar, Xiaoyan Cong, Zekun Li, Zhiyang Dou","submitted_at":"2026-07-23T05:35:31Z","abstract_excerpt":"Streaming video diffusion models have made substantial progress toward interactive and dynamic world simulation, but the nested autoregressive and denoising loops of conventional next-frame generation hinder real-time deployment. Recent rolling-window methods pipeline denoising across multiple consecutive frames at different noise levels, improving throughput and long-horizon stability. However, they tokenize every state at the same fine spatial granularity, leaving substantial noise-dependent redundancy in the joint denoising window. We propose Ms.Forcing, an efficient streaming video generat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.20940","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.20940/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.20940","created_at":"2026-07-24T01:23:41.901693+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.20940v1","created_at":"2026-07-24T01:23:41.901693+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.20940","created_at":"2026-07-24T01:23:41.901693+00:00"},{"alias_kind":"pith_short_12","alias_value":"MQGL4FWWUEYV","created_at":"2026-07-24T01:23:41.901693+00:00"},{"alias_kind":"pith_short_16","alias_value":"MQGL4FWWUEYVZGSL","created_at":"2026-07-24T01:23:41.901693+00:00"},{"alias_kind":"pith_short_8","alias_value":"MQGL4FWW","created_at":"2026-07-24T01:23:41.901693+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/MQGL4FWWUEYVZGSLC3Y4W75AUH","json":"https://pith.science/pith/MQGL4FWWUEYVZGSLC3Y4W75AUH.json","graph_json":"https://pith.science/api/pith-number/MQGL4FWWUEYVZGSLC3Y4W75AUH/graph.json","events_json":"https://pith.science/api/pith-number/MQGL4FWWUEYVZGSLC3Y4W75AUH/events.json","paper":"https://pith.science/paper/MQGL4FWW"},"agent_actions":{"view_html":"https://pith.science/pith/MQGL4FWWUEYVZGSLC3Y4W75AUH","download_json":"https://pith.science/pith/MQGL4FWWUEYVZGSLC3Y4W75AUH.json","view_paper":"https://pith.science/paper/MQGL4FWW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.20940&json=true","fetch_graph":"https://pith.science/api/pith-number/MQGL4FWWUEYVZGSLC3Y4W75AUH/graph.json","fetch_events":"https://pith.science/api/pith-number/MQGL4FWWUEYVZGSLC3Y4W75AUH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MQGL4FWWUEYVZGSLC3Y4W75AUH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MQGL4FWWUEYVZGSLC3Y4W75AUH/action/storage_attestation","attest_author":"https://pith.science/pith/MQGL4FWWUEYVZGSLC3Y4W75AUH/action/author_attestation","sign_citation":"https://pith.science/pith/MQGL4FWWUEYVZGSLC3Y4W75AUH/action/citation_signature","submit_replication":"https://pith.science/pith/MQGL4FWWUEYVZGSLC3Y4W75AUH/action/replication_record"}},"created_at":"2026-07-24T01:23:41.901693+00:00","updated_at":"2026-07-24T01:23:41.901693+00:00"}