{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:VJ5XZVVLAQIAVZKZCABU43L6IZ","short_pith_number":"pith:VJ5XZVVL","canonical_record":{"source":{"id":"2303.07863","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-14T12:53:27Z","cross_cats_sorted":["cs.AI","cs.MM"],"title_canon_sha256":"afc54df75e8561b0827abc7d47ed1093cd0f70f878bfea3ba5338fdd2bdd932f","abstract_canon_sha256":"9717d5d183a688df17ca2425ca34894182f8f356114f570f91c4cfd5f7330efa"},"schema_version":"1.0"},"canonical_sha256":"aa7b7cd6ab04100ae55910034e6d7e465fa0b2143081c8a36f42c23b7d0036e5","source":{"kind":"arxiv","id":"2303.07863","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.07863","created_at":"2026-05-26T02:04:58Z"},{"alias_kind":"arxiv_version","alias_value":"2303.07863v3","created_at":"2026-05-26T02:04:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.07863","created_at":"2026-05-26T02:04:58Z"},{"alias_kind":"pith_short_12","alias_value":"VJ5XZVVLAQIA","created_at":"2026-05-26T02:04:58Z"},{"alias_kind":"pith_short_16","alias_value":"VJ5XZVVLAQIAVZKZ","created_at":"2026-05-26T02:04:58Z"},{"alias_kind":"pith_short_8","alias_value":"VJ5XZVVL","created_at":"2026-05-26T02:04:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:VJ5XZVVLAQIAVZKZCABU43L6IZ","target":"record","payload":{"canonical_record":{"source":{"id":"2303.07863","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-14T12:53:27Z","cross_cats_sorted":["cs.AI","cs.MM"],"title_canon_sha256":"afc54df75e8561b0827abc7d47ed1093cd0f70f878bfea3ba5338fdd2bdd932f","abstract_canon_sha256":"9717d5d183a688df17ca2425ca34894182f8f356114f570f91c4cfd5f7330efa"},"schema_version":"1.0"},"canonical_sha256":"aa7b7cd6ab04100ae55910034e6d7e465fa0b2143081c8a36f42c23b7d0036e5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T02:04:58.080751Z","signature_b64":"6Bn+XJ+AHeRw7SmKu5p2siQ/IhjlFQcRDFWtP20x00sjRTfzxEClOpJf3AeIRdPyCEGrYwzkSbSNlhOe1uwCDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aa7b7cd6ab04100ae55910034e6d7e465fa0b2143081c8a36f42c23b7d0036e5","last_reissued_at":"2026-05-26T02:04:58.079963Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T02:04:58.079963Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.07863","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-26T02:04:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H1fiS/llkSe8uD2cqELpPkh3rdJbVid6XeKUaoNcS1qA7HZDmzJgMYCCqAwio5YNMYWu0pOHm26rlVhsSYofDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T16:44:49.551567Z"},"content_sha256":"13bc5de3fa2a6c5d08cd7b1b172f521c15a0a3c1204e9fc2b7e320550a0c8b01","schema_version":"1.0","event_id":"sha256:13bc5de3fa2a6c5d08cd7b1b172f521c15a0a3c1204e9fc2b7e320550a0c8b01"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:VJ5XZVVLAQIAVZKZCABU43L6IZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"You Can Ground Earlier than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.MM"],"primary_cat":"cs.CV","authors_text":"Daizong Liu, Guoshun Nan, Pan Zhou, Xiang Fang","submitted_at":"2023-03-14T12:53:27Z","abstract_excerpt":"Given an untrimmed video, temporal sentence grounding (TSG) aims to locate a target moment semantically according to a sentence query. Although previous respectable works have made decent success, they only focus on high-level visual features extracted from the consecutive decoded frames and fail to handle the compressed videos for query modelling, suffering from insufficient representation capability and significant computational complexity during training and testing. In this paper, we pose a new setting, compressed-domain TSG, which directly utilizes compressed videos rather than fully-deco"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.07863","kind":"arxiv","version":3},"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/2303.07863/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":"2026-05-26T02:04:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5J5dc7vnvvov//CK+iROvvFQmaKQmLvoBgAYa1H7y6a5DtjYeRJn2ErcY6f86QbGrXwpzcrI2Ys2PwKxzWWpCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T16:44:49.552362Z"},"content_sha256":"347042390de35398ff5224e18e9fb27f98ff54a98025a1e8d64c1211d5cd944b","schema_version":"1.0","event_id":"sha256:347042390de35398ff5224e18e9fb27f98ff54a98025a1e8d64c1211d5cd944b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VJ5XZVVLAQIAVZKZCABU43L6IZ/bundle.json","state_url":"https://pith.science/pith/VJ5XZVVLAQIAVZKZCABU43L6IZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VJ5XZVVLAQIAVZKZCABU43L6IZ/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":"2026-05-30T16:44:49Z","links":{"resolver":"https://pith.science/pith/VJ5XZVVLAQIAVZKZCABU43L6IZ","bundle":"https://pith.science/pith/VJ5XZVVLAQIAVZKZCABU43L6IZ/bundle.json","state":"https://pith.science/pith/VJ5XZVVLAQIAVZKZCABU43L6IZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VJ5XZVVLAQIAVZKZCABU43L6IZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:VJ5XZVVLAQIAVZKZCABU43L6IZ","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":"9717d5d183a688df17ca2425ca34894182f8f356114f570f91c4cfd5f7330efa","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-14T12:53:27Z","title_canon_sha256":"afc54df75e8561b0827abc7d47ed1093cd0f70f878bfea3ba5338fdd2bdd932f"},"schema_version":"1.0","source":{"id":"2303.07863","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.07863","created_at":"2026-05-26T02:04:58Z"},{"alias_kind":"arxiv_version","alias_value":"2303.07863v3","created_at":"2026-05-26T02:04:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.07863","created_at":"2026-05-26T02:04:58Z"},{"alias_kind":"pith_short_12","alias_value":"VJ5XZVVLAQIA","created_at":"2026-05-26T02:04:58Z"},{"alias_kind":"pith_short_16","alias_value":"VJ5XZVVLAQIAVZKZ","created_at":"2026-05-26T02:04:58Z"},{"alias_kind":"pith_short_8","alias_value":"VJ5XZVVL","created_at":"2026-05-26T02:04:58Z"}],"graph_snapshots":[{"event_id":"sha256:347042390de35398ff5224e18e9fb27f98ff54a98025a1e8d64c1211d5cd944b","target":"graph","created_at":"2026-05-26T02:04:58Z","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/2303.07863/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Given an untrimmed video, temporal sentence grounding (TSG) aims to locate a target moment semantically according to a sentence query. Although previous respectable works have made decent success, they only focus on high-level visual features extracted from the consecutive decoded frames and fail to handle the compressed videos for query modelling, suffering from insufficient representation capability and significant computational complexity during training and testing. In this paper, we pose a new setting, compressed-domain TSG, which directly utilizes compressed videos rather than fully-deco","authors_text":"Daizong Liu, Guoshun Nan, Pan Zhou, Xiang Fang","cross_cats":["cs.AI","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-14T12:53:27Z","title":"You Can Ground Earlier than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.07863","kind":"arxiv","version":3},"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":"sha256:13bc5de3fa2a6c5d08cd7b1b172f521c15a0a3c1204e9fc2b7e320550a0c8b01","target":"record","created_at":"2026-05-26T02:04:58Z","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":"9717d5d183a688df17ca2425ca34894182f8f356114f570f91c4cfd5f7330efa","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-14T12:53:27Z","title_canon_sha256":"afc54df75e8561b0827abc7d47ed1093cd0f70f878bfea3ba5338fdd2bdd932f"},"schema_version":"1.0","source":{"id":"2303.07863","kind":"arxiv","version":3}},"canonical_sha256":"aa7b7cd6ab04100ae55910034e6d7e465fa0b2143081c8a36f42c23b7d0036e5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aa7b7cd6ab04100ae55910034e6d7e465fa0b2143081c8a36f42c23b7d0036e5","first_computed_at":"2026-05-26T02:04:58.079963Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:04:58.079963Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6Bn+XJ+AHeRw7SmKu5p2siQ/IhjlFQcRDFWtP20x00sjRTfzxEClOpJf3AeIRdPyCEGrYwzkSbSNlhOe1uwCDQ==","signature_status":"signed_v1","signed_at":"2026-05-26T02:04:58.080751Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.07863","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:13bc5de3fa2a6c5d08cd7b1b172f521c15a0a3c1204e9fc2b7e320550a0c8b01","sha256:347042390de35398ff5224e18e9fb27f98ff54a98025a1e8d64c1211d5cd944b"],"state_sha256":"cb063b4cfaec2e5e832be97103e86d7b180cc474da7f8359f5fa38c6ee789c4b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iBj5M5SbWTWw96Nfx4fL2/fN6SpyEW6twsKaI6AD+r2toSvTYSW7UVQT3+T2+2W2L2OlqXYqUxUGbcKgYnPGCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T16:44:49.556207Z","bundle_sha256":"df5873215c26874de2fcc173ca61449206b87dca83a57acaff5ab3449d21d6ec"}}