{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:QZFVMRGB625IBLDSHFKUWUBOT4","short_pith_number":"pith:QZFVMRGB","canonical_record":{"source":{"id":"2503.07314","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-10T13:33:27Z","cross_cats_sorted":[],"title_canon_sha256":"fbd95e1f34d35bcce762a9a3544d6e6291f1b3bdfb06460323bd7c6f1cb54f54","abstract_canon_sha256":"345b87c44cf5857799aca6cbb2173407e87e9d412462229ea4c1dbc527f79323"},"schema_version":"1.0"},"canonical_sha256":"864b5644c1f6ba80ac7239554b502e9f1ce61235c33c486d23b62254cf9bcfb3","source":{"kind":"arxiv","id":"2503.07314","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.07314","created_at":"2026-07-05T10:27:53Z"},{"alias_kind":"arxiv_version","alias_value":"2503.07314v1","created_at":"2026-07-05T10:27:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.07314","created_at":"2026-07-05T10:27:53Z"},{"alias_kind":"pith_short_12","alias_value":"QZFVMRGB625I","created_at":"2026-07-05T10:27:53Z"},{"alias_kind":"pith_short_16","alias_value":"QZFVMRGB625IBLDS","created_at":"2026-07-05T10:27:53Z"},{"alias_kind":"pith_short_8","alias_value":"QZFVMRGB","created_at":"2026-07-05T10:27:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:QZFVMRGB625IBLDSHFKUWUBOT4","target":"record","payload":{"canonical_record":{"source":{"id":"2503.07314","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-10T13:33:27Z","cross_cats_sorted":[],"title_canon_sha256":"fbd95e1f34d35bcce762a9a3544d6e6291f1b3bdfb06460323bd7c6f1cb54f54","abstract_canon_sha256":"345b87c44cf5857799aca6cbb2173407e87e9d412462229ea4c1dbc527f79323"},"schema_version":"1.0"},"canonical_sha256":"864b5644c1f6ba80ac7239554b502e9f1ce61235c33c486d23b62254cf9bcfb3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:27:53.678133Z","signature_b64":"q6bfNafbWJtczizA0K2V+qucV3/iM3OiSyjs03CgEc2qusIl59l5sxOL//fZ9wF0X9YhmYVF/yblsPWAQ0eQAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"864b5644c1f6ba80ac7239554b502e9f1ce61235c33c486d23b62254cf9bcfb3","last_reissued_at":"2026-07-05T10:27:53.677627Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:27:53.677627Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.07314","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":"2026-07-05T10:27:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bQVCmtLvoxlo6lTc76axDO4/CLrUxhJIyNxMWMLQFYMw9kZrkTHUTpYnDSkNx0Mmb8QAndAsU13J6LEr6tkMAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T19:17:25.944105Z"},"content_sha256":"daf6ecdaadaa1f99617954facd6617fa89786e3c3321be31bebd03720a473153","schema_version":"1.0","event_id":"sha256:daf6ecdaadaa1f99617954facd6617fa89786e3c3321be31bebd03720a473153"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:QZFVMRGB625IBLDSHFKUWUBOT4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automated Movie Generation via Multi-Agent CoT Planning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Mike Zheng Shou, Weijia Wu, Zeyu Zhu","submitted_at":"2025-03-10T13:33:27Z","abstract_excerpt":"Existing long-form video generation frameworks lack automated planning, requiring manual input for storylines, scenes, cinematography, and character interactions, resulting in high costs and inefficiencies. To address these challenges, we present MovieAgent, an automated movie generation via multi-agent Chain of Thought (CoT) planning. MovieAgent offers two key advantages: 1) We firstly explore and define the paradigm of automated movie/long-video generation. Given a script and character bank, our MovieAgent can generates multi-scene, multi-shot long-form videos with a coherent narrative, whil"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.07314","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/2503.07314/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:27:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UvBFE7dHQNnu039ezCrZwInuPoscO+1XOrIO0c907chABv8L9tQmrqHUM08bIYXgzbSb3MuY2aQfgbPaYDWVDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T19:17:25.944474Z"},"content_sha256":"558519f5dbd592e2e3342acf03feb6bc875352fc133abba0dcf11bd2da7177b9","schema_version":"1.0","event_id":"sha256:558519f5dbd592e2e3342acf03feb6bc875352fc133abba0dcf11bd2da7177b9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QZFVMRGB625IBLDSHFKUWUBOT4/bundle.json","state_url":"https://pith.science/pith/QZFVMRGB625IBLDSHFKUWUBOT4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QZFVMRGB625IBLDSHFKUWUBOT4/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":"2026-08-17T19:17:25Z","links":{"resolver":"https://pith.science/pith/QZFVMRGB625IBLDSHFKUWUBOT4","bundle":"https://pith.science/pith/QZFVMRGB625IBLDSHFKUWUBOT4/bundle.json","state":"https://pith.science/pith/QZFVMRGB625IBLDSHFKUWUBOT4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QZFVMRGB625IBLDSHFKUWUBOT4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QZFVMRGB625IBLDSHFKUWUBOT4","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":"345b87c44cf5857799aca6cbb2173407e87e9d412462229ea4c1dbc527f79323","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-10T13:33:27Z","title_canon_sha256":"fbd95e1f34d35bcce762a9a3544d6e6291f1b3bdfb06460323bd7c6f1cb54f54"},"schema_version":"1.0","source":{"id":"2503.07314","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.07314","created_at":"2026-07-05T10:27:53Z"},{"alias_kind":"arxiv_version","alias_value":"2503.07314v1","created_at":"2026-07-05T10:27:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.07314","created_at":"2026-07-05T10:27:53Z"},{"alias_kind":"pith_short_12","alias_value":"QZFVMRGB625I","created_at":"2026-07-05T10:27:53Z"},{"alias_kind":"pith_short_16","alias_value":"QZFVMRGB625IBLDS","created_at":"2026-07-05T10:27:53Z"},{"alias_kind":"pith_short_8","alias_value":"QZFVMRGB","created_at":"2026-07-05T10:27:53Z"}],"graph_snapshots":[{"event_id":"sha256:558519f5dbd592e2e3342acf03feb6bc875352fc133abba0dcf11bd2da7177b9","target":"graph","created_at":"2026-07-05T10:27:53Z","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":[],"endpoint":"/pith/2503.07314/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing long-form video generation frameworks lack automated planning, requiring manual input for storylines, scenes, cinematography, and character interactions, resulting in high costs and inefficiencies. To address these challenges, we present MovieAgent, an automated movie generation via multi-agent Chain of Thought (CoT) planning. MovieAgent offers two key advantages: 1) We firstly explore and define the paradigm of automated movie/long-video generation. Given a script and character bank, our MovieAgent can generates multi-scene, multi-shot long-form videos with a coherent narrative, whil","authors_text":"Mike Zheng Shou, Weijia Wu, Zeyu Zhu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-10T13:33:27Z","title":"Automated Movie Generation via Multi-Agent CoT Planning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.07314","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:daf6ecdaadaa1f99617954facd6617fa89786e3c3321be31bebd03720a473153","target":"record","created_at":"2026-07-05T10:27:53Z","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":"345b87c44cf5857799aca6cbb2173407e87e9d412462229ea4c1dbc527f79323","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-10T13:33:27Z","title_canon_sha256":"fbd95e1f34d35bcce762a9a3544d6e6291f1b3bdfb06460323bd7c6f1cb54f54"},"schema_version":"1.0","source":{"id":"2503.07314","kind":"arxiv","version":1}},"canonical_sha256":"864b5644c1f6ba80ac7239554b502e9f1ce61235c33c486d23b62254cf9bcfb3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"864b5644c1f6ba80ac7239554b502e9f1ce61235c33c486d23b62254cf9bcfb3","first_computed_at":"2026-07-05T10:27:53.677627Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:27:53.677627Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"q6bfNafbWJtczizA0K2V+qucV3/iM3OiSyjs03CgEc2qusIl59l5sxOL//fZ9wF0X9YhmYVF/yblsPWAQ0eQAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:27:53.678133Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.07314","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:daf6ecdaadaa1f99617954facd6617fa89786e3c3321be31bebd03720a473153","sha256:558519f5dbd592e2e3342acf03feb6bc875352fc133abba0dcf11bd2da7177b9"],"state_sha256":"7e9774e0da964c6754c53277d449b0c3d2394ded6e6370bf728175b53dee4cf9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2wvL5Zpkat+YFh7hScL8+kiDH2V6z/2N1pF+xkVRL9PY15+ATbyKzU+0plLe+Qd6QzDtMU8opQyO9QpXA5MRCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T19:17:25.946884Z","bundle_sha256":"8dc382c227460fea8eeca48b4a26228e79c7619a783265da44943fcd8ffa3d06"}}