{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:75VFFQ55VXZC6BIZOVU4WOUX67","short_pith_number":"pith:75VFFQ55","canonical_record":{"source":{"id":"2605.16649","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T21:39:46Z","cross_cats_sorted":[],"title_canon_sha256":"bc697e2691a61c971614ae8024a6975aed9fbe6d76871053e82235bc988e8716","abstract_canon_sha256":"e5883ab7dc5e6e7bf6d254db59ac43f265d218d90a912d442fb1a0c228877770"},"schema_version":"1.0"},"canonical_sha256":"ff6a52c3bdadf22f05197569cb3a97f7ece5ee8a1b7b2c6d3e5238434bee8092","source":{"kind":"arxiv","id":"2605.16649","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.16649","created_at":"2026-05-20T00:02:34Z"},{"alias_kind":"arxiv_version","alias_value":"2605.16649v1","created_at":"2026-05-20T00:02:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.16649","created_at":"2026-05-20T00:02:34Z"},{"alias_kind":"pith_short_12","alias_value":"75VFFQ55VXZC","created_at":"2026-05-20T00:02:34Z"},{"alias_kind":"pith_short_16","alias_value":"75VFFQ55VXZC6BIZ","created_at":"2026-05-20T00:02:34Z"},{"alias_kind":"pith_short_8","alias_value":"75VFFQ55","created_at":"2026-05-20T00:02:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:75VFFQ55VXZC6BIZOVU4WOUX67","target":"record","payload":{"canonical_record":{"source":{"id":"2605.16649","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T21:39:46Z","cross_cats_sorted":[],"title_canon_sha256":"bc697e2691a61c971614ae8024a6975aed9fbe6d76871053e82235bc988e8716","abstract_canon_sha256":"e5883ab7dc5e6e7bf6d254db59ac43f265d218d90a912d442fb1a0c228877770"},"schema_version":"1.0"},"canonical_sha256":"ff6a52c3bdadf22f05197569cb3a97f7ece5ee8a1b7b2c6d3e5238434bee8092","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:02:34.282497Z","signature_b64":"r3pYkHiTCNQe+I4Zr1hFn0G0YyWWOmX8ttqLlMKVo7oibwbKamHljGa60xholOLx5rF92Nyp09clNQh40FGYDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ff6a52c3bdadf22f05197569cb3a97f7ece5ee8a1b7b2c6d3e5238434bee8092","last_reissued_at":"2026-05-20T00:02:34.281631Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:02:34.281631Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.16649","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:02:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fOUF4dOT25HF1rDVec+clDy5GEd9lIM4s9W5tcsKOE96E+BhleMzhVq++e3J2CAE3B8u06TkRzxgjPaCQfehDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T17:01:30.703742Z"},"content_sha256":"222ad15b5e35f4ffe5dd8abd3fba27f2300793f8d9d0aaa27170372661d91bb4","schema_version":"1.0","event_id":"sha256:222ad15b5e35f4ffe5dd8abd3fba27f2300793f8d9d0aaa27170372661d91bb4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:75VFFQ55VXZC6BIZOVU4WOUX67","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AtlasVid: Efficient Ultra-High-Resolution Long Video Generation via Decoupled Global-Local Modeling","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Yu-Wing Tai, Yuyao Zhang, Ziyang Mai","submitted_at":"2026-05-15T21:39:46Z","abstract_excerpt":"Recent diffusion-based video generators have achieved remarkable visual fidelity and prompt controllability, yet scaling them to ultra-high-resolution (UHR) long videos remains prohibitively expensive. The difficulty is especially pronounced for long single-shot generation where a continuous scene must preserve global temporal coherence, and fine-grained spatial details without relying on clip transitions or autoregressive shot stitching. In this work, we revisit this challenge from the perspective of decoupled modeling. We argue that existing video diffusion models already encode strong local"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.16649","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/2605.16649/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"claim_evidence","ran_at":"2026-05-19T19:01:56.406869Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"ai_meta_artifact","ran_at":"2026-05-19T18:33:26.526057Z","status":"skipped","version":"1.0.0","findings_count":0}],"snapshot_sha256":"43aea5302ae311de48a1799d2489e3b6e341264bc4b59b944b25c1a9d48c200a"},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:02:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"86SI+SlWN0lZ0ASXOaHnHvhdLkpauZZO6VqTffHKN1MbCVsIx7UvfqWY9+D/9aF2gM5wrfRNl3KdyRUN3jSjBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T17:01:30.704496Z"},"content_sha256":"71de75a1cd216d5f82bf0cddc51b0de0949c5a3f4f9198be7c15578658e378cf","schema_version":"1.0","event_id":"sha256:71de75a1cd216d5f82bf0cddc51b0de0949c5a3f4f9198be7c15578658e378cf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/75VFFQ55VXZC6BIZOVU4WOUX67/bundle.json","state_url":"https://pith.science/pith/75VFFQ55VXZC6BIZOVU4WOUX67/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/75VFFQ55VXZC6BIZOVU4WOUX67/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-25T17:01:30Z","links":{"resolver":"https://pith.science/pith/75VFFQ55VXZC6BIZOVU4WOUX67","bundle":"https://pith.science/pith/75VFFQ55VXZC6BIZOVU4WOUX67/bundle.json","state":"https://pith.science/pith/75VFFQ55VXZC6BIZOVU4WOUX67/state.json","well_known_bundle":"https://pith.science/.well-known/pith/75VFFQ55VXZC6BIZOVU4WOUX67/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:75VFFQ55VXZC6BIZOVU4WOUX67","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"e5883ab7dc5e6e7bf6d254db59ac43f265d218d90a912d442fb1a0c228877770","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T21:39:46Z","title_canon_sha256":"bc697e2691a61c971614ae8024a6975aed9fbe6d76871053e82235bc988e8716"},"schema_version":"1.0","source":{"id":"2605.16649","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.16649","created_at":"2026-05-20T00:02:34Z"},{"alias_kind":"arxiv_version","alias_value":"2605.16649v1","created_at":"2026-05-20T00:02:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.16649","created_at":"2026-05-20T00:02:34Z"},{"alias_kind":"pith_short_12","alias_value":"75VFFQ55VXZC","created_at":"2026-05-20T00:02:34Z"},{"alias_kind":"pith_short_16","alias_value":"75VFFQ55VXZC6BIZ","created_at":"2026-05-20T00:02:34Z"},{"alias_kind":"pith_short_8","alias_value":"75VFFQ55","created_at":"2026-05-20T00:02:34Z"}],"graph_snapshots":[{"event_id":"sha256:71de75a1cd216d5f82bf0cddc51b0de0949c5a3f4f9198be7c15578658e378cf","target":"graph","created_at":"2026-05-20T00:02:34Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T19:01:56.406869Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T18:33:26.526057Z","status":"skipped","version":"1.0.0"}],"endpoint":"/pith/2605.16649/integrity.json","findings":[],"snapshot_sha256":"43aea5302ae311de48a1799d2489e3b6e341264bc4b59b944b25c1a9d48c200a","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent diffusion-based video generators have achieved remarkable visual fidelity and prompt controllability, yet scaling them to ultra-high-resolution (UHR) long videos remains prohibitively expensive. The difficulty is especially pronounced for long single-shot generation where a continuous scene must preserve global temporal coherence, and fine-grained spatial details without relying on clip transitions or autoregressive shot stitching. In this work, we revisit this challenge from the perspective of decoupled modeling. We argue that existing video diffusion models already encode strong local","authors_text":"Yu-Wing Tai, Yuyao Zhang, Ziyang Mai","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T21:39:46Z","title":"AtlasVid: Efficient Ultra-High-Resolution Long Video Generation via Decoupled Global-Local Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.16649","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:222ad15b5e35f4ffe5dd8abd3fba27f2300793f8d9d0aaa27170372661d91bb4","target":"record","created_at":"2026-05-20T00:02:34Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"e5883ab7dc5e6e7bf6d254db59ac43f265d218d90a912d442fb1a0c228877770","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T21:39:46Z","title_canon_sha256":"bc697e2691a61c971614ae8024a6975aed9fbe6d76871053e82235bc988e8716"},"schema_version":"1.0","source":{"id":"2605.16649","kind":"arxiv","version":1}},"canonical_sha256":"ff6a52c3bdadf22f05197569cb3a97f7ece5ee8a1b7b2c6d3e5238434bee8092","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ff6a52c3bdadf22f05197569cb3a97f7ece5ee8a1b7b2c6d3e5238434bee8092","first_computed_at":"2026-05-20T00:02:34.281631Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:02:34.281631Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"r3pYkHiTCNQe+I4Zr1hFn0G0YyWWOmX8ttqLlMKVo7oibwbKamHljGa60xholOLx5rF92Nyp09clNQh40FGYDA==","signature_status":"signed_v1","signed_at":"2026-05-20T00:02:34.282497Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.16649","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:222ad15b5e35f4ffe5dd8abd3fba27f2300793f8d9d0aaa27170372661d91bb4","sha256:71de75a1cd216d5f82bf0cddc51b0de0949c5a3f4f9198be7c15578658e378cf"],"state_sha256":"4247f95776a693c854c35299e95dbdbcfe7628502af879dee98862facecf35db"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tg0wQf6HIsaYCIFImjlpqH298eCRR7WAn3DtQG69S3dwbi1WhShKGtuhi6/WYuAib9O6siHiAFjilbjCqKx2DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T17:01:30.707859Z","bundle_sha256":"21a15cb5b142f17d1493aaae69fcec9cfdee9b32c7450c803b45db188264222c"}}