{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:4X4HG755T53O65WSGLN7RF6IUA","short_pith_number":"pith:4X4HG755","canonical_record":{"source":{"id":"2508.12084","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-16T15:44:34Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"fdf9bc12d5ffbb0b1e87df627956fe92406990261b836f75a7a15372d7695a2d","abstract_canon_sha256":"60c938f6be85fec9664e50b6622af6c08799cce1d789dc652dda7e34bf74e075"},"schema_version":"1.0"},"canonical_sha256":"e5f8737fbd9f76ef76d232dbf897c8a00b08fd2dbafcb4e586972bc3fecc4569","source":{"kind":"arxiv","id":"2508.12084","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.12084","created_at":"2026-07-05T11:54:59Z"},{"alias_kind":"arxiv_version","alias_value":"2508.12084v1","created_at":"2026-07-05T11:54:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.12084","created_at":"2026-07-05T11:54:59Z"},{"alias_kind":"pith_short_12","alias_value":"4X4HG755T53O","created_at":"2026-07-05T11:54:59Z"},{"alias_kind":"pith_short_16","alias_value":"4X4HG755T53O65WS","created_at":"2026-07-05T11:54:59Z"},{"alias_kind":"pith_short_8","alias_value":"4X4HG755","created_at":"2026-07-05T11:54:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:4X4HG755T53O65WSGLN7RF6IUA","target":"record","payload":{"canonical_record":{"source":{"id":"2508.12084","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-16T15:44:34Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"fdf9bc12d5ffbb0b1e87df627956fe92406990261b836f75a7a15372d7695a2d","abstract_canon_sha256":"60c938f6be85fec9664e50b6622af6c08799cce1d789dc652dda7e34bf74e075"},"schema_version":"1.0"},"canonical_sha256":"e5f8737fbd9f76ef76d232dbf897c8a00b08fd2dbafcb4e586972bc3fecc4569","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:54:59.912083Z","signature_b64":"U1if8pk+YAjjR0JNqznNGue18klaTgmHmPY582bH0bzb6c+EpY47idXDK7GgGaVockcRe3Zlefx5jjEQ2TzEDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e5f8737fbd9f76ef76d232dbf897c8a00b08fd2dbafcb4e586972bc3fecc4569","last_reissued_at":"2026-07-05T11:54:59.911625Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:54:59.911625Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.12084","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":"2026-07-05T11:54:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nWL4/NaP9L5rEgGM2OFMMtbyla4cdCD4HE/o9l8ydfU03dEaRbtSr5Axk2NSxYkuo44CelUojkM+Z963uG+tAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T12:29:37.014445Z"},"content_sha256":"97ad9c85980850aa2f19e63b934310252e494633b77d6133074e23ea45fcd1e1","schema_version":"1.0","event_id":"sha256:97ad9c85980850aa2f19e63b934310252e494633b77d6133074e23ea45fcd1e1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:4X4HG755T53O65WSGLN7RF6IUA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generic Event Boundary Detection via Denoising Diffusion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Dayoung Gong, Jaejun Hwang, Manjin Kim, Minsu Cho","submitted_at":"2025-08-16T15:44:34Z","abstract_excerpt":"Generic event boundary detection (GEBD) aims to identify natural boundaries in a video, segmenting it into distinct and meaningful chunks. Despite the inherent subjectivity of event boundaries, previous methods have focused on deterministic predictions, overlooking the diversity of plausible solutions. In this paper, we introduce a novel diffusion-based boundary detection model, dubbed DiffGEBD, that tackles the problem of GEBD from a generative perspective. The proposed model encodes relevant changes across adjacent frames via temporal self-similarity and then iteratively decodes random noise"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.12084","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/2508.12084/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":"2026-07-05T11:54:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1uXPZE2Ezlo2alcixdFwGil7g8eExMNpmt7Mb5zc1o4ua78AXwv6DQEJPl5/5ayMHq2McUvYax0deLIERPRGDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T12:29:37.015146Z"},"content_sha256":"743ec5714aaf62aa7ea8f4231904b8e02c0af2e1760ae79f270e90c68c7542ab","schema_version":"1.0","event_id":"sha256:743ec5714aaf62aa7ea8f4231904b8e02c0af2e1760ae79f270e90c68c7542ab"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4X4HG755T53O65WSGLN7RF6IUA/bundle.json","state_url":"https://pith.science/pith/4X4HG755T53O65WSGLN7RF6IUA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4X4HG755T53O65WSGLN7RF6IUA/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":"2026-08-17T12:29:37Z","links":{"resolver":"https://pith.science/pith/4X4HG755T53O65WSGLN7RF6IUA","bundle":"https://pith.science/pith/4X4HG755T53O65WSGLN7RF6IUA/bundle.json","state":"https://pith.science/pith/4X4HG755T53O65WSGLN7RF6IUA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4X4HG755T53O65WSGLN7RF6IUA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4X4HG755T53O65WSGLN7RF6IUA","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":"60c938f6be85fec9664e50b6622af6c08799cce1d789dc652dda7e34bf74e075","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-16T15:44:34Z","title_canon_sha256":"fdf9bc12d5ffbb0b1e87df627956fe92406990261b836f75a7a15372d7695a2d"},"schema_version":"1.0","source":{"id":"2508.12084","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.12084","created_at":"2026-07-05T11:54:59Z"},{"alias_kind":"arxiv_version","alias_value":"2508.12084v1","created_at":"2026-07-05T11:54:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.12084","created_at":"2026-07-05T11:54:59Z"},{"alias_kind":"pith_short_12","alias_value":"4X4HG755T53O","created_at":"2026-07-05T11:54:59Z"},{"alias_kind":"pith_short_16","alias_value":"4X4HG755T53O65WS","created_at":"2026-07-05T11:54:59Z"},{"alias_kind":"pith_short_8","alias_value":"4X4HG755","created_at":"2026-07-05T11:54:59Z"}],"graph_snapshots":[{"event_id":"sha256:743ec5714aaf62aa7ea8f4231904b8e02c0af2e1760ae79f270e90c68c7542ab","target":"graph","created_at":"2026-07-05T11:54:59Z","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/2508.12084/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generic event boundary detection (GEBD) aims to identify natural boundaries in a video, segmenting it into distinct and meaningful chunks. Despite the inherent subjectivity of event boundaries, previous methods have focused on deterministic predictions, overlooking the diversity of plausible solutions. In this paper, we introduce a novel diffusion-based boundary detection model, dubbed DiffGEBD, that tackles the problem of GEBD from a generative perspective. The proposed model encodes relevant changes across adjacent frames via temporal self-similarity and then iteratively decodes random noise","authors_text":"Dayoung Gong, Jaejun Hwang, Manjin Kim, Minsu Cho","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-16T15:44:34Z","title":"Generic Event Boundary Detection via Denoising Diffusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.12084","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":"sha256:97ad9c85980850aa2f19e63b934310252e494633b77d6133074e23ea45fcd1e1","target":"record","created_at":"2026-07-05T11:54:59Z","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":"60c938f6be85fec9664e50b6622af6c08799cce1d789dc652dda7e34bf74e075","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-16T15:44:34Z","title_canon_sha256":"fdf9bc12d5ffbb0b1e87df627956fe92406990261b836f75a7a15372d7695a2d"},"schema_version":"1.0","source":{"id":"2508.12084","kind":"arxiv","version":1}},"canonical_sha256":"e5f8737fbd9f76ef76d232dbf897c8a00b08fd2dbafcb4e586972bc3fecc4569","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e5f8737fbd9f76ef76d232dbf897c8a00b08fd2dbafcb4e586972bc3fecc4569","first_computed_at":"2026-07-05T11:54:59.911625Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:54:59.911625Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"U1if8pk+YAjjR0JNqznNGue18klaTgmHmPY582bH0bzb6c+EpY47idXDK7GgGaVockcRe3Zlefx5jjEQ2TzEDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:54:59.912083Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.12084","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:97ad9c85980850aa2f19e63b934310252e494633b77d6133074e23ea45fcd1e1","sha256:743ec5714aaf62aa7ea8f4231904b8e02c0af2e1760ae79f270e90c68c7542ab"],"state_sha256":"670613b916fb08110f73e51c073147d97e961f47352aedebd95380e85d78006d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LLFV1lL9QXvN1Yd0D5BAxPNTTIl9QZcqi4dh30RUX5F/tUojG4S+Kzd1zEfAy1KxmTWef4IQtLoLYOoSKTeTAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T12:29:37.021521Z","bundle_sha256":"98ebae1b2ce31aae45cfd7ce0fd9a8028e7c70bddc23d0efdff0906e87cb600f"}}