{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:2MOB6EC6P74DKPAWX6WCG2OV6X","short_pith_number":"pith:2MOB6EC6","canonical_record":{"source":{"id":"2311.17241","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-28T21:31:04Z","cross_cats_sorted":[],"title_canon_sha256":"1eb30af38b2dcbaecd89acab103cedc4d6677d49b9844dd49b369e3effd52a49","abstract_canon_sha256":"f96718bed33580b60af6a00c8055021be770cea703a060a8843ef8d73ec2411f"},"schema_version":"1.0"},"canonical_sha256":"d31c1f105e7ff8353c16bfac2369d5f5dfbbb03ff72864147121df16e46b2ee7","source":{"kind":"arxiv","id":"2311.17241","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.17241","created_at":"2026-07-05T08:10:20Z"},{"alias_kind":"arxiv_version","alias_value":"2311.17241v2","created_at":"2026-07-05T08:10:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.17241","created_at":"2026-07-05T08:10:20Z"},{"alias_kind":"pith_short_12","alias_value":"2MOB6EC6P74D","created_at":"2026-07-05T08:10:20Z"},{"alias_kind":"pith_short_16","alias_value":"2MOB6EC6P74DKPAW","created_at":"2026-07-05T08:10:20Z"},{"alias_kind":"pith_short_8","alias_value":"2MOB6EC6","created_at":"2026-07-05T08:10:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:2MOB6EC6P74DKPAWX6WCG2OV6X","target":"record","payload":{"canonical_record":{"source":{"id":"2311.17241","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-28T21:31:04Z","cross_cats_sorted":[],"title_canon_sha256":"1eb30af38b2dcbaecd89acab103cedc4d6677d49b9844dd49b369e3effd52a49","abstract_canon_sha256":"f96718bed33580b60af6a00c8055021be770cea703a060a8843ef8d73ec2411f"},"schema_version":"1.0"},"canonical_sha256":"d31c1f105e7ff8353c16bfac2369d5f5dfbbb03ff72864147121df16e46b2ee7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:10:20.160289Z","signature_b64":"qDFQPMaMxR0eMmL0iR85zaWxuTMdpCd1lHmU2a9QRZTAIqd48nj7TFYd6c5tgN5smKK6jmotn+BXmNpVm40AAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d31c1f105e7ff8353c16bfac2369d5f5dfbbb03ff72864147121df16e46b2ee7","last_reissued_at":"2026-07-05T08:10:20.159839Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:10:20.159839Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.17241","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":"2026-07-05T08:10:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r6ENN3BwfTbQODmThQTijL5Eq/wKMORVt8SmoJjLByE4/BOFabVLApEk/MRVVKWrAAkq2dxcSSOVbqQ49xcpBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T22:47:30.681428Z"},"content_sha256":"5d6f09370393b93f2158096add64a63f133ed1d7d761fb9bc11c28bf1998445b","schema_version":"1.0","event_id":"sha256:5d6f09370393b93f2158096add64a63f133ed1d7d761fb9bc11c28bf1998445b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:2MOB6EC6P74DKPAWX6WCG2OV6X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bernard Ghanem, Chen-Lin Zhang, Chen Zhao, Shuming Liu","submitted_at":"2023-11-28T21:31:04Z","abstract_excerpt":"Recently, temporal action detection (TAD) has seen significant performance improvement with end-to-end training. However, due to the memory bottleneck, only models with limited scales and limited data volumes can afford end-to-end training, which inevitably restricts TAD performance. In this paper, we reduce the memory consumption for end-to-end training, and manage to scale up the TAD backbone to 1 billion parameters and the input video to 1,536 frames, leading to significant detection performance. The key to our approach lies in our proposed temporal-informative adapter (TIA), which is a nov"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.17241","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/2311.17241/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":"2026-07-05T08:10:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KZCGepbtDr04CixD7jV/IDBIhT+DQhl+di+9k03KJK7Z5ufERa2wwu1ipRjbBXx7ove2o7Dn3a/Ssv49dXuhCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T22:47:30.681956Z"},"content_sha256":"bf70e7df2e68f145675fb0348b511228ea32c7e52229c6d28fa7689e199ddcb5","schema_version":"1.0","event_id":"sha256:bf70e7df2e68f145675fb0348b511228ea32c7e52229c6d28fa7689e199ddcb5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2MOB6EC6P74DKPAWX6WCG2OV6X/bundle.json","state_url":"https://pith.science/pith/2MOB6EC6P74DKPAWX6WCG2OV6X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2MOB6EC6P74DKPAWX6WCG2OV6X/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":"2026-08-08T22:47:30Z","links":{"resolver":"https://pith.science/pith/2MOB6EC6P74DKPAWX6WCG2OV6X","bundle":"https://pith.science/pith/2MOB6EC6P74DKPAWX6WCG2OV6X/bundle.json","state":"https://pith.science/pith/2MOB6EC6P74DKPAWX6WCG2OV6X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2MOB6EC6P74DKPAWX6WCG2OV6X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:2MOB6EC6P74DKPAWX6WCG2OV6X","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":"f96718bed33580b60af6a00c8055021be770cea703a060a8843ef8d73ec2411f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-28T21:31:04Z","title_canon_sha256":"1eb30af38b2dcbaecd89acab103cedc4d6677d49b9844dd49b369e3effd52a49"},"schema_version":"1.0","source":{"id":"2311.17241","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.17241","created_at":"2026-07-05T08:10:20Z"},{"alias_kind":"arxiv_version","alias_value":"2311.17241v2","created_at":"2026-07-05T08:10:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.17241","created_at":"2026-07-05T08:10:20Z"},{"alias_kind":"pith_short_12","alias_value":"2MOB6EC6P74D","created_at":"2026-07-05T08:10:20Z"},{"alias_kind":"pith_short_16","alias_value":"2MOB6EC6P74DKPAW","created_at":"2026-07-05T08:10:20Z"},{"alias_kind":"pith_short_8","alias_value":"2MOB6EC6","created_at":"2026-07-05T08:10:20Z"}],"graph_snapshots":[{"event_id":"sha256:bf70e7df2e68f145675fb0348b511228ea32c7e52229c6d28fa7689e199ddcb5","target":"graph","created_at":"2026-07-05T08:10:20Z","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/2311.17241/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, temporal action detection (TAD) has seen significant performance improvement with end-to-end training. However, due to the memory bottleneck, only models with limited scales and limited data volumes can afford end-to-end training, which inevitably restricts TAD performance. In this paper, we reduce the memory consumption for end-to-end training, and manage to scale up the TAD backbone to 1 billion parameters and the input video to 1,536 frames, leading to significant detection performance. The key to our approach lies in our proposed temporal-informative adapter (TIA), which is a nov","authors_text":"Bernard Ghanem, Chen-Lin Zhang, Chen Zhao, Shuming Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-28T21:31:04Z","title":"End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.17241","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":"sha256:5d6f09370393b93f2158096add64a63f133ed1d7d761fb9bc11c28bf1998445b","target":"record","created_at":"2026-07-05T08:10:20Z","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":"f96718bed33580b60af6a00c8055021be770cea703a060a8843ef8d73ec2411f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-28T21:31:04Z","title_canon_sha256":"1eb30af38b2dcbaecd89acab103cedc4d6677d49b9844dd49b369e3effd52a49"},"schema_version":"1.0","source":{"id":"2311.17241","kind":"arxiv","version":2}},"canonical_sha256":"d31c1f105e7ff8353c16bfac2369d5f5dfbbb03ff72864147121df16e46b2ee7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d31c1f105e7ff8353c16bfac2369d5f5dfbbb03ff72864147121df16e46b2ee7","first_computed_at":"2026-07-05T08:10:20.159839Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:10:20.159839Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qDFQPMaMxR0eMmL0iR85zaWxuTMdpCd1lHmU2a9QRZTAIqd48nj7TFYd6c5tgN5smKK6jmotn+BXmNpVm40AAg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:10:20.160289Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.17241","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5d6f09370393b93f2158096add64a63f133ed1d7d761fb9bc11c28bf1998445b","sha256:bf70e7df2e68f145675fb0348b511228ea32c7e52229c6d28fa7689e199ddcb5"],"state_sha256":"0b45ffdb30c99051ecb9d274bc468af90e9eb543eff829c267958e2d26078551"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t7VrtrpBmsDIL5DxGqtwv6e3+T1xE8BiQNaOM9vhb2wIDjE2FfvwK+MLl8tS0TN6eos5bbO+2IGeC4ylIKw2CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T22:47:30.686659Z","bundle_sha256":"39b26ed2c2adb6b2fc57fe7c6bd3bc46df3aaa037e785c60fd6c60c2fe390d9e"}}