{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:YG6NYVBBFDE6KMWHHSDIYBZUEM","short_pith_number":"pith:YG6NYVBB","canonical_record":{"source":{"id":"2309.01270","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-03T20:50:53Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"785666e310937dd350aaf2f8b64c580e34e4c513e14c2a34a908466a125db1ad","abstract_canon_sha256":"ce46e98a66d1878f02470b1c619af9460a146a647ea60f964cc3e0ffd08df3d8"},"schema_version":"1.0"},"canonical_sha256":"c1bcdc542128c9e532c73c868c07342337c8354354fa9fdaef68f70c7b0b3549","source":{"kind":"arxiv","id":"2309.01270","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.01270","created_at":"2026-07-05T07:05:13Z"},{"alias_kind":"arxiv_version","alias_value":"2309.01270v2","created_at":"2026-07-05T07:05:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.01270","created_at":"2026-07-05T07:05:13Z"},{"alias_kind":"pith_short_12","alias_value":"YG6NYVBBFDE6","created_at":"2026-07-05T07:05:13Z"},{"alias_kind":"pith_short_16","alias_value":"YG6NYVBBFDE6KMWH","created_at":"2026-07-05T07:05:13Z"},{"alias_kind":"pith_short_8","alias_value":"YG6NYVBB","created_at":"2026-07-05T07:05:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:YG6NYVBBFDE6KMWHHSDIYBZUEM","target":"record","payload":{"canonical_record":{"source":{"id":"2309.01270","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-03T20:50:53Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"785666e310937dd350aaf2f8b64c580e34e4c513e14c2a34a908466a125db1ad","abstract_canon_sha256":"ce46e98a66d1878f02470b1c619af9460a146a647ea60f964cc3e0ffd08df3d8"},"schema_version":"1.0"},"canonical_sha256":"c1bcdc542128c9e532c73c868c07342337c8354354fa9fdaef68f70c7b0b3549","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:05:13.391087Z","signature_b64":"FJ6w0keMIEj76L3xt//QwJ2SFwVrJ+/5/54oj04QsCxBGctq5oXmAd3xz4Cd/wA+rJuBfST0uTjQTO31077nAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c1bcdc542128c9e532c73c868c07342337c8354354fa9fdaef68f70c7b0b3549","last_reissued_at":"2026-07-05T07:05:13.390595Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:05:13.390595Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.01270","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":"2026-07-05T07:05:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3ANAJBVjEXksPBgPgUGiZ6En29BWwTlauA+16YZ6y2f3iDXvvpYgJiCaY/oxm6QIEQYEsT0AthnfnY8AQQ5CDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T13:00:06.477801Z"},"content_sha256":"b90fbf1c556799057cb61bc864122a43a0e163284948c0691bb0783bf89bc1ee","schema_version":"1.0","event_id":"sha256:b90fbf1c556799057cb61bc864122a43a0e163284948c0691bb0783bf89bc1ee"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:YG6NYVBBFDE6KMWHHSDIYBZUEM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"COMEDIAN: Self-Supervised Learning and Knowledge Distillation for Action Spotting using Transformers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Astrid Orcesi, Jaonary Rabarisoa, Julien Denize, Mykola Liashuha, Romain H\\'erault","submitted_at":"2023-09-03T20:50:53Z","abstract_excerpt":"We present COMEDIAN, a novel pipeline to initialize spatiotemporal transformers for action spotting, which involves self-supervised learning and knowledge distillation. Action spotting is a timestamp-level temporal action detection task. Our pipeline consists of three steps, with two initialization stages. First, we perform self-supervised initialization of a spatial transformer using short videos as input. Additionally, we initialize a temporal transformer that enhances the spatial transformer's outputs with global context through knowledge distillation from a pre-computed feature bank aligne"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.01270","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/2309.01270/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":"2026-07-05T07:05:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QwhmeiJ8e9lFWG7SdeW5ROHrvogk+55z/UHhjJQJG+AyeJC8OzhDdvsBpNU2mKn3xN89aFViE0fqYUjmxBHfDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T13:00:06.478526Z"},"content_sha256":"2e3e4a92a49b27818727773d9067460ac52267ceeaa47b48f03d135f6ad9fb2d","schema_version":"1.0","event_id":"sha256:2e3e4a92a49b27818727773d9067460ac52267ceeaa47b48f03d135f6ad9fb2d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YG6NYVBBFDE6KMWHHSDIYBZUEM/bundle.json","state_url":"https://pith.science/pith/YG6NYVBBFDE6KMWHHSDIYBZUEM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YG6NYVBBFDE6KMWHHSDIYBZUEM/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":"2026-08-04T13:00:06Z","links":{"resolver":"https://pith.science/pith/YG6NYVBBFDE6KMWHHSDIYBZUEM","bundle":"https://pith.science/pith/YG6NYVBBFDE6KMWHHSDIYBZUEM/bundle.json","state":"https://pith.science/pith/YG6NYVBBFDE6KMWHHSDIYBZUEM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YG6NYVBBFDE6KMWHHSDIYBZUEM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:YG6NYVBBFDE6KMWHHSDIYBZUEM","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":"ce46e98a66d1878f02470b1c619af9460a146a647ea60f964cc3e0ffd08df3d8","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-03T20:50:53Z","title_canon_sha256":"785666e310937dd350aaf2f8b64c580e34e4c513e14c2a34a908466a125db1ad"},"schema_version":"1.0","source":{"id":"2309.01270","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.01270","created_at":"2026-07-05T07:05:13Z"},{"alias_kind":"arxiv_version","alias_value":"2309.01270v2","created_at":"2026-07-05T07:05:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.01270","created_at":"2026-07-05T07:05:13Z"},{"alias_kind":"pith_short_12","alias_value":"YG6NYVBBFDE6","created_at":"2026-07-05T07:05:13Z"},{"alias_kind":"pith_short_16","alias_value":"YG6NYVBBFDE6KMWH","created_at":"2026-07-05T07:05:13Z"},{"alias_kind":"pith_short_8","alias_value":"YG6NYVBB","created_at":"2026-07-05T07:05:13Z"}],"graph_snapshots":[{"event_id":"sha256:2e3e4a92a49b27818727773d9067460ac52267ceeaa47b48f03d135f6ad9fb2d","target":"graph","created_at":"2026-07-05T07:05:13Z","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/2309.01270/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present COMEDIAN, a novel pipeline to initialize spatiotemporal transformers for action spotting, which involves self-supervised learning and knowledge distillation. Action spotting is a timestamp-level temporal action detection task. Our pipeline consists of three steps, with two initialization stages. First, we perform self-supervised initialization of a spatial transformer using short videos as input. Additionally, we initialize a temporal transformer that enhances the spatial transformer's outputs with global context through knowledge distillation from a pre-computed feature bank aligne","authors_text":"Astrid Orcesi, Jaonary Rabarisoa, Julien Denize, Mykola Liashuha, Romain H\\'erault","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-03T20:50:53Z","title":"COMEDIAN: Self-Supervised Learning and Knowledge Distillation for Action Spotting using Transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.01270","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:b90fbf1c556799057cb61bc864122a43a0e163284948c0691bb0783bf89bc1ee","target":"record","created_at":"2026-07-05T07:05:13Z","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":"ce46e98a66d1878f02470b1c619af9460a146a647ea60f964cc3e0ffd08df3d8","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-03T20:50:53Z","title_canon_sha256":"785666e310937dd350aaf2f8b64c580e34e4c513e14c2a34a908466a125db1ad"},"schema_version":"1.0","source":{"id":"2309.01270","kind":"arxiv","version":2}},"canonical_sha256":"c1bcdc542128c9e532c73c868c07342337c8354354fa9fdaef68f70c7b0b3549","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c1bcdc542128c9e532c73c868c07342337c8354354fa9fdaef68f70c7b0b3549","first_computed_at":"2026-07-05T07:05:13.390595Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:05:13.390595Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FJ6w0keMIEj76L3xt//QwJ2SFwVrJ+/5/54oj04QsCxBGctq5oXmAd3xz4Cd/wA+rJuBfST0uTjQTO31077nAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:05:13.391087Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.01270","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b90fbf1c556799057cb61bc864122a43a0e163284948c0691bb0783bf89bc1ee","sha256:2e3e4a92a49b27818727773d9067460ac52267ceeaa47b48f03d135f6ad9fb2d"],"state_sha256":"57946d3701c978498637a3c41cec582ee9d9d856f8c55c6b005e3f8aa5226ab5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FoSLZigwYYIcuWjaU++G45JrJ6Y/4+v3oBauxW4gTnasx4FDTZmfAJDgmxEiXufuU0AhBA2NPn3RsHh/yhkTBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T13:00:06.482637Z","bundle_sha256":"950c800d50b22c96056f9e3c448dc92c34c3b6b553b1912164586d128aedca16"}}