{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:JEHYHUUC5WMOZFHE4TE3B7Z66F","short_pith_number":"pith:JEHYHUUC","canonical_record":{"source":{"id":"2505.03807","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-05-02T09:08:13Z","cross_cats_sorted":["cs.AI","cs.CV","cs.MA"],"title_canon_sha256":"77579f6bc6bbaf0009a94458e2ff6d1923c8601cb37c8466afc06670ae0f9a30","abstract_canon_sha256":"11432ee41cfd730e38ca60b0e1fbd20f2b1249368f304a866063df250191a368"},"schema_version":"1.0"},"canonical_sha256":"490f83d282ed98ec94e4e4c9b0ff3ef145e9e5b1f69269427f31239aab34224d","source":{"kind":"arxiv","id":"2505.03807","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.03807","created_at":"2026-07-05T10:59:31Z"},{"alias_kind":"arxiv_version","alias_value":"2505.03807v1","created_at":"2026-07-05T10:59:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.03807","created_at":"2026-07-05T10:59:31Z"},{"alias_kind":"pith_short_12","alias_value":"JEHYHUUC5WMO","created_at":"2026-07-05T10:59:31Z"},{"alias_kind":"pith_short_16","alias_value":"JEHYHUUC5WMOZFHE","created_at":"2026-07-05T10:59:31Z"},{"alias_kind":"pith_short_8","alias_value":"JEHYHUUC","created_at":"2026-07-05T10:59:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:JEHYHUUC5WMOZFHE4TE3B7Z66F","target":"record","payload":{"canonical_record":{"source":{"id":"2505.03807","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-05-02T09:08:13Z","cross_cats_sorted":["cs.AI","cs.CV","cs.MA"],"title_canon_sha256":"77579f6bc6bbaf0009a94458e2ff6d1923c8601cb37c8466afc06670ae0f9a30","abstract_canon_sha256":"11432ee41cfd730e38ca60b0e1fbd20f2b1249368f304a866063df250191a368"},"schema_version":"1.0"},"canonical_sha256":"490f83d282ed98ec94e4e4c9b0ff3ef145e9e5b1f69269427f31239aab34224d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:59:31.899101Z","signature_b64":"MwOM+c7V1wec5EgxUWqdmBTk3/TUJJ6ffuA9sQ4FWvmT3UVJAajWY7zL/IKm0gxT03TtlC2swSZLCxkt2n5kCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"490f83d282ed98ec94e4e4c9b0ff3ef145e9e5b1f69269427f31239aab34224d","last_reissued_at":"2026-07-05T10:59:31.898607Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:59:31.898607Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.03807","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":"2026-07-05T10:59:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yeClKToRE0/7detbQkempT4Dd3jjO5NiXXQa/7htc69E2WGnNBYs/pVBbzYO/9uWXFvV1CjG2JNA8q6cV45qAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:20:23.430637Z"},"content_sha256":"9f8a91b399247ff02db013cba2a2b68a3dd8e922524ba83963c7ee5b86989d66","schema_version":"1.0","event_id":"sha256:9f8a91b399247ff02db013cba2a2b68a3dd8e922524ba83963c7ee5b86989d66"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:JEHYHUUC5WMOZFHE4TE3B7Z66F","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Facilitating Video Story Interaction with Multi-Agent Collaborative System","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CV","cs.MA"],"primary_cat":"cs.HC","authors_text":"Hongling Sheng, Jianing Hao, Wei Zeng, Yiwen Zhang, Zhan Wang","submitted_at":"2025-05-02T09:08:13Z","abstract_excerpt":"Video story interaction enables viewers to engage with and explore narrative content for personalized experiences. However, existing methods are limited to user selection, specially designed narratives, and lack customization. To address this, we propose an interactive system based on user intent. Our system uses a Vision Language Model (VLM) to enable machines to understand video stories, combining Retrieval-Augmented Generation (RAG) and a Multi-Agent System (MAS) to create evolving characters and scene experiences. It includes three stages: 1) Video story processing, utilizing VLM and prior"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.03807","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/2505.03807/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":"2026-07-05T10:59:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gAKdVsUIC7AFJhw3eVfaNrFZ1jL5ZUhkxhxrLXWV9iP0tc0pbdHXtPs+Y77DbtRHo7CzCV0mFjDlRsSG6g69Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:20:23.431137Z"},"content_sha256":"f5df2ef8ffea09feb29a6e99cbbfeb2314ee516ab02fa03bae4f8e340e2dc189","schema_version":"1.0","event_id":"sha256:f5df2ef8ffea09feb29a6e99cbbfeb2314ee516ab02fa03bae4f8e340e2dc189"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JEHYHUUC5WMOZFHE4TE3B7Z66F/bundle.json","state_url":"https://pith.science/pith/JEHYHUUC5WMOZFHE4TE3B7Z66F/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JEHYHUUC5WMOZFHE4TE3B7Z66F/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":"2026-08-18T22:20:23Z","links":{"resolver":"https://pith.science/pith/JEHYHUUC5WMOZFHE4TE3B7Z66F","bundle":"https://pith.science/pith/JEHYHUUC5WMOZFHE4TE3B7Z66F/bundle.json","state":"https://pith.science/pith/JEHYHUUC5WMOZFHE4TE3B7Z66F/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JEHYHUUC5WMOZFHE4TE3B7Z66F/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JEHYHUUC5WMOZFHE4TE3B7Z66F","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":"11432ee41cfd730e38ca60b0e1fbd20f2b1249368f304a866063df250191a368","cross_cats_sorted":["cs.AI","cs.CV","cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-05-02T09:08:13Z","title_canon_sha256":"77579f6bc6bbaf0009a94458e2ff6d1923c8601cb37c8466afc06670ae0f9a30"},"schema_version":"1.0","source":{"id":"2505.03807","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.03807","created_at":"2026-07-05T10:59:31Z"},{"alias_kind":"arxiv_version","alias_value":"2505.03807v1","created_at":"2026-07-05T10:59:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.03807","created_at":"2026-07-05T10:59:31Z"},{"alias_kind":"pith_short_12","alias_value":"JEHYHUUC5WMO","created_at":"2026-07-05T10:59:31Z"},{"alias_kind":"pith_short_16","alias_value":"JEHYHUUC5WMOZFHE","created_at":"2026-07-05T10:59:31Z"},{"alias_kind":"pith_short_8","alias_value":"JEHYHUUC","created_at":"2026-07-05T10:59:31Z"}],"graph_snapshots":[{"event_id":"sha256:f5df2ef8ffea09feb29a6e99cbbfeb2314ee516ab02fa03bae4f8e340e2dc189","target":"graph","created_at":"2026-07-05T10:59:31Z","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/2505.03807/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Video story interaction enables viewers to engage with and explore narrative content for personalized experiences. However, existing methods are limited to user selection, specially designed narratives, and lack customization. To address this, we propose an interactive system based on user intent. Our system uses a Vision Language Model (VLM) to enable machines to understand video stories, combining Retrieval-Augmented Generation (RAG) and a Multi-Agent System (MAS) to create evolving characters and scene experiences. It includes three stages: 1) Video story processing, utilizing VLM and prior","authors_text":"Hongling Sheng, Jianing Hao, Wei Zeng, Yiwen Zhang, Zhan Wang","cross_cats":["cs.AI","cs.CV","cs.MA"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-05-02T09:08:13Z","title":"Facilitating Video Story Interaction with Multi-Agent Collaborative System"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.03807","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":"sha256:9f8a91b399247ff02db013cba2a2b68a3dd8e922524ba83963c7ee5b86989d66","target":"record","created_at":"2026-07-05T10:59:31Z","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":"11432ee41cfd730e38ca60b0e1fbd20f2b1249368f304a866063df250191a368","cross_cats_sorted":["cs.AI","cs.CV","cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-05-02T09:08:13Z","title_canon_sha256":"77579f6bc6bbaf0009a94458e2ff6d1923c8601cb37c8466afc06670ae0f9a30"},"schema_version":"1.0","source":{"id":"2505.03807","kind":"arxiv","version":1}},"canonical_sha256":"490f83d282ed98ec94e4e4c9b0ff3ef145e9e5b1f69269427f31239aab34224d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"490f83d282ed98ec94e4e4c9b0ff3ef145e9e5b1f69269427f31239aab34224d","first_computed_at":"2026-07-05T10:59:31.898607Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:59:31.898607Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MwOM+c7V1wec5EgxUWqdmBTk3/TUJJ6ffuA9sQ4FWvmT3UVJAajWY7zL/IKm0gxT03TtlC2swSZLCxkt2n5kCg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:59:31.899101Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.03807","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9f8a91b399247ff02db013cba2a2b68a3dd8e922524ba83963c7ee5b86989d66","sha256:f5df2ef8ffea09feb29a6e99cbbfeb2314ee516ab02fa03bae4f8e340e2dc189"],"state_sha256":"5d73808fc139f5f77d08b70dcd7e7218453c5e4d94b2e622dda0209ffba5a184"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"14qrtHxRUH8w67TydJ+zR86h22EiSyOqAF1QY5qJVeEbVel6RojraeMGUUK+kwZap8yoRsca5KsCI5jPFfoHDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T22:20:23.435028Z","bundle_sha256":"c0ab6ed6465947290391a94eb765bda0d98607f76d2b14a1736252e6d9fd0b43"}}