{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:CJAHRWH7KNLOPCLOBSIR5HVCE4","short_pith_number":"pith:CJAHRWH7","canonical_record":{"source":{"id":"2304.08551","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2023-04-17T18:44:00Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"241832d714ee09ebb419d993c32135229367cb62f7b650c3f117feb5daa1e76e","abstract_canon_sha256":"c696f5d2296842a8cf151d6cb1e67cf69d5e43b72114e8135d1ca42531395f0d"},"schema_version":"1.0"},"canonical_sha256":"124078d8ff5356e7896e0c911e9ea2270156e9cc6209a85cc983f7eb4486a4f6","source":{"kind":"arxiv","id":"2304.08551","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.08551","created_at":"2026-07-05T06:55:02Z"},{"alias_kind":"arxiv_version","alias_value":"2304.08551v2","created_at":"2026-07-05T06:55:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.08551","created_at":"2026-07-05T06:55:02Z"},{"alias_kind":"pith_short_12","alias_value":"CJAHRWH7KNLO","created_at":"2026-07-05T06:55:02Z"},{"alias_kind":"pith_short_16","alias_value":"CJAHRWH7KNLOPCLO","created_at":"2026-07-05T06:55:02Z"},{"alias_kind":"pith_short_8","alias_value":"CJAHRWH7","created_at":"2026-07-05T06:55:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:CJAHRWH7KNLOPCLOBSIR5HVCE4","target":"record","payload":{"canonical_record":{"source":{"id":"2304.08551","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2023-04-17T18:44:00Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"241832d714ee09ebb419d993c32135229367cb62f7b650c3f117feb5daa1e76e","abstract_canon_sha256":"c696f5d2296842a8cf151d6cb1e67cf69d5e43b72114e8135d1ca42531395f0d"},"schema_version":"1.0"},"canonical_sha256":"124078d8ff5356e7896e0c911e9ea2270156e9cc6209a85cc983f7eb4486a4f6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:55:02.955069Z","signature_b64":"/zQ+pYSwfrGd4cjwReaHHa43GGXjY2Fgu95o0M6DQxhenstDcQnvmX5KwUHK0uk+olgr0QF8hBfjF/Z3TtvhCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"124078d8ff5356e7896e0c911e9ea2270156e9cc6209a85cc983f7eb4486a4f6","last_reissued_at":"2026-07-05T06:55:02.954593Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:55:02.954593Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.08551","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:55:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MmE1QDCC5nCtKbViWodQED3bWEEkDkgS5BypsYiBI4zIRiI8t6e0VM2EmwqiX534zCAL+2jNhKwn8YRS0mxfDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T17:03:11.373256Z"},"content_sha256":"e1596cdae79c5df6ec9ee3b64836067d29ff8c4875b18bdc071e377ed2cb0ed9","schema_version":"1.0","event_id":"sha256:e1596cdae79c5df6ec9ee3b64836067d29ff8c4875b18bdc071e377ed2cb0ed9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:CJAHRWH7KNLOPCLOBSIR5HVCE4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generative Disco: Text-to-Video Generation for Music Visualization","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.HC","authors_text":"Lydia Chilton, Nathan Raw, Tao Long, Vivian Liu","submitted_at":"2023-04-17T18:44:00Z","abstract_excerpt":"Visuals can enhance our experience of music, owing to the way they can amplify the emotions and messages conveyed within it. However, creating music visualization is a complex, time-consuming, and resource-intensive process. We introduce Generative Disco, a generative AI system that helps generate music visualizations with large language models and text-to-video generation. The system helps users visualize music in intervals by finding prompts to describe the images that intervals start and end on and interpolating between them to the beat of the music. We introduce design patterns for improvi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.08551","kind":"arxiv","version":2},"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/2304.08551/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":"2026-07-05T06:55:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2tecPlb1rIAIQ7I8lm7P93bVsl8jaRnMwO0vwr1FVyCXqdH+ogXtgrm+8BWNIea7M9fHHWQGXc+a127h3a/7Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T17:03:11.373752Z"},"content_sha256":"1bed883839f225e1300833a04c422adabe8fbe1e26a03aa091c49ccc4d81f66c","schema_version":"1.0","event_id":"sha256:1bed883839f225e1300833a04c422adabe8fbe1e26a03aa091c49ccc4d81f66c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CJAHRWH7KNLOPCLOBSIR5HVCE4/bundle.json","state_url":"https://pith.science/pith/CJAHRWH7KNLOPCLOBSIR5HVCE4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CJAHRWH7KNLOPCLOBSIR5HVCE4/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":"2026-08-04T17:03:11Z","links":{"resolver":"https://pith.science/pith/CJAHRWH7KNLOPCLOBSIR5HVCE4","bundle":"https://pith.science/pith/CJAHRWH7KNLOPCLOBSIR5HVCE4/bundle.json","state":"https://pith.science/pith/CJAHRWH7KNLOPCLOBSIR5HVCE4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CJAHRWH7KNLOPCLOBSIR5HVCE4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:CJAHRWH7KNLOPCLOBSIR5HVCE4","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":"c696f5d2296842a8cf151d6cb1e67cf69d5e43b72114e8135d1ca42531395f0d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2023-04-17T18:44:00Z","title_canon_sha256":"241832d714ee09ebb419d993c32135229367cb62f7b650c3f117feb5daa1e76e"},"schema_version":"1.0","source":{"id":"2304.08551","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.08551","created_at":"2026-07-05T06:55:02Z"},{"alias_kind":"arxiv_version","alias_value":"2304.08551v2","created_at":"2026-07-05T06:55:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.08551","created_at":"2026-07-05T06:55:02Z"},{"alias_kind":"pith_short_12","alias_value":"CJAHRWH7KNLO","created_at":"2026-07-05T06:55:02Z"},{"alias_kind":"pith_short_16","alias_value":"CJAHRWH7KNLOPCLO","created_at":"2026-07-05T06:55:02Z"},{"alias_kind":"pith_short_8","alias_value":"CJAHRWH7","created_at":"2026-07-05T06:55:02Z"}],"graph_snapshots":[{"event_id":"sha256:1bed883839f225e1300833a04c422adabe8fbe1e26a03aa091c49ccc4d81f66c","target":"graph","created_at":"2026-07-05T06:55:02Z","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/2304.08551/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Visuals can enhance our experience of music, owing to the way they can amplify the emotions and messages conveyed within it. However, creating music visualization is a complex, time-consuming, and resource-intensive process. We introduce Generative Disco, a generative AI system that helps generate music visualizations with large language models and text-to-video generation. The system helps users visualize music in intervals by finding prompts to describe the images that intervals start and end on and interpolating between them to the beat of the music. We introduce design patterns for improvi","authors_text":"Lydia Chilton, Nathan Raw, Tao Long, Vivian Liu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2023-04-17T18:44:00Z","title":"Generative Disco: Text-to-Video Generation for Music Visualization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.08551","kind":"arxiv","version":2},"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:e1596cdae79c5df6ec9ee3b64836067d29ff8c4875b18bdc071e377ed2cb0ed9","target":"record","created_at":"2026-07-05T06:55:02Z","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":"c696f5d2296842a8cf151d6cb1e67cf69d5e43b72114e8135d1ca42531395f0d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2023-04-17T18:44:00Z","title_canon_sha256":"241832d714ee09ebb419d993c32135229367cb62f7b650c3f117feb5daa1e76e"},"schema_version":"1.0","source":{"id":"2304.08551","kind":"arxiv","version":2}},"canonical_sha256":"124078d8ff5356e7896e0c911e9ea2270156e9cc6209a85cc983f7eb4486a4f6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"124078d8ff5356e7896e0c911e9ea2270156e9cc6209a85cc983f7eb4486a4f6","first_computed_at":"2026-07-05T06:55:02.954593Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:55:02.954593Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/zQ+pYSwfrGd4cjwReaHHa43GGXjY2Fgu95o0M6DQxhenstDcQnvmX5KwUHK0uk+olgr0QF8hBfjF/Z3TtvhCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:55:02.955069Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.08551","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e1596cdae79c5df6ec9ee3b64836067d29ff8c4875b18bdc071e377ed2cb0ed9","sha256:1bed883839f225e1300833a04c422adabe8fbe1e26a03aa091c49ccc4d81f66c"],"state_sha256":"a7471e236a6424c97ef6755dc1eab4f71cf68921dedf780e3103ce1ec0fc097e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TNHzFoZK5DykMoE4S5c6WYByIpyRwjyWXrccavL9Sgaxvjy2unxChKLnqOttpTx6b2eFtkfZ4kWTHQ+dw1DuCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T17:03:11.377570Z","bundle_sha256":"43ebd0190a592793f36fa35437feac930bfad3906b71f27edc843f171b748664"}}