{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:3SFH55APIN3G4U2M4QOSNP4YX7","short_pith_number":"pith:3SFH55AP","canonical_record":{"source":{"id":"1908.03846","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2019-08-11T03:59:18Z","cross_cats_sorted":["cs.CV","cs.IR"],"title_canon_sha256":"2a8e294c0f4e3d3e5ad0d493c8bc45a7710dd3c5ee544aac3df8e073ba241d32","abstract_canon_sha256":"77329d38a6e6e7c84e00bf2913546a85e7c3ad3302c2bce3368e8bea826d8fed"},"schema_version":"1.0"},"canonical_sha256":"dc8a7ef40f43766e534ce41d26bf98bfc9918648c79a8e9b164c470b87015777","source":{"kind":"arxiv","id":"1908.03846","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.03846","created_at":"2026-07-04T23:53:18Z"},{"alias_kind":"arxiv_version","alias_value":"1908.03846v1","created_at":"2026-07-04T23:53:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.03846","created_at":"2026-07-04T23:53:18Z"},{"alias_kind":"pith_short_12","alias_value":"3SFH55APIN3G","created_at":"2026-07-04T23:53:18Z"},{"alias_kind":"pith_short_16","alias_value":"3SFH55APIN3G4U2M","created_at":"2026-07-04T23:53:18Z"},{"alias_kind":"pith_short_8","alias_value":"3SFH55AP","created_at":"2026-07-04T23:53:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:3SFH55APIN3G4U2M4QOSNP4YX7","target":"record","payload":{"canonical_record":{"source":{"id":"1908.03846","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2019-08-11T03:59:18Z","cross_cats_sorted":["cs.CV","cs.IR"],"title_canon_sha256":"2a8e294c0f4e3d3e5ad0d493c8bc45a7710dd3c5ee544aac3df8e073ba241d32","abstract_canon_sha256":"77329d38a6e6e7c84e00bf2913546a85e7c3ad3302c2bce3368e8bea826d8fed"},"schema_version":"1.0"},"canonical_sha256":"dc8a7ef40f43766e534ce41d26bf98bfc9918648c79a8e9b164c470b87015777","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:53:18.784254Z","signature_b64":"aepCXQ69FXQIkV48SnQkzXFZLXCuenm7/rZvG55CrImokxjaa86x7xBElQl4yJkHpPnNaxeSs4xUyclPw3njBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dc8a7ef40f43766e534ce41d26bf98bfc9918648c79a8e9b164c470b87015777","last_reissued_at":"2026-07-04T23:53:18.783861Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:53:18.783861Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.03846","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":"2026-07-04T23:53:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m42WGHE7ES/ocrFBX6Ns+EPcIS/2yu8VrI8Rkduy5Yv6cMCV/06bK1O/nclj/isWKU1DDyKBuWM6KwIaQB4zDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T04:40:10.949344Z"},"content_sha256":"a402f627ce0c59f2b8161291763ceddfcfc4b739803d06b53ee1633bd8f2762e","schema_version":"1.0","event_id":"sha256:a402f627ce0c59f2b8161291763ceddfcfc4b739803d06b53ee1633bd8f2762e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:3SFH55APIN3G4U2M4QOSNP4YX7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploiting Temporal Relationships in Video Moment Localization with Natural Language","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.IR"],"primary_cat":"cs.MM","authors_text":"Jiebo Luo, Jinsong Su, Songyang Zhang","submitted_at":"2019-08-11T03:59:18Z","abstract_excerpt":"We address the problem of video moment localization with natural language, i.e. localizing a video segment described by a natural language sentence. While most prior work focuses on grounding the query as a whole, temporal dependencies and reasoning between events within the text are not fully considered. In this paper, we propose a novel Temporal Compositional Modular Network (TCMN) where a tree attention network first automatically decomposes a sentence into three descriptions with respect to the main event, context event and temporal signal. Two modules are then utilized to measure the visu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.03846","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/1908.03846/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":"2026-07-04T23:53:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l+KmztUtKB6h9WFVfc3R4FEnPlj3X9C1b7F6MtOgOJKaIuTlMOHRU8kutGSO4owxtURlpPmCzCEq1+EnyAqgBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T04:40:10.950302Z"},"content_sha256":"4f7299d0f04bdf1eeb251d0ae1000e4e8cc27ec1ba4e5356bf6cc7bf5f9f4ba2","schema_version":"1.0","event_id":"sha256:4f7299d0f04bdf1eeb251d0ae1000e4e8cc27ec1ba4e5356bf6cc7bf5f9f4ba2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3SFH55APIN3G4U2M4QOSNP4YX7/bundle.json","state_url":"https://pith.science/pith/3SFH55APIN3G4U2M4QOSNP4YX7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3SFH55APIN3G4U2M4QOSNP4YX7/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":"2026-08-16T04:40:10Z","links":{"resolver":"https://pith.science/pith/3SFH55APIN3G4U2M4QOSNP4YX7","bundle":"https://pith.science/pith/3SFH55APIN3G4U2M4QOSNP4YX7/bundle.json","state":"https://pith.science/pith/3SFH55APIN3G4U2M4QOSNP4YX7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3SFH55APIN3G4U2M4QOSNP4YX7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:3SFH55APIN3G4U2M4QOSNP4YX7","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":"77329d38a6e6e7c84e00bf2913546a85e7c3ad3302c2bce3368e8bea826d8fed","cross_cats_sorted":["cs.CV","cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2019-08-11T03:59:18Z","title_canon_sha256":"2a8e294c0f4e3d3e5ad0d493c8bc45a7710dd3c5ee544aac3df8e073ba241d32"},"schema_version":"1.0","source":{"id":"1908.03846","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.03846","created_at":"2026-07-04T23:53:18Z"},{"alias_kind":"arxiv_version","alias_value":"1908.03846v1","created_at":"2026-07-04T23:53:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.03846","created_at":"2026-07-04T23:53:18Z"},{"alias_kind":"pith_short_12","alias_value":"3SFH55APIN3G","created_at":"2026-07-04T23:53:18Z"},{"alias_kind":"pith_short_16","alias_value":"3SFH55APIN3G4U2M","created_at":"2026-07-04T23:53:18Z"},{"alias_kind":"pith_short_8","alias_value":"3SFH55AP","created_at":"2026-07-04T23:53:18Z"}],"graph_snapshots":[{"event_id":"sha256:4f7299d0f04bdf1eeb251d0ae1000e4e8cc27ec1ba4e5356bf6cc7bf5f9f4ba2","target":"graph","created_at":"2026-07-04T23:53:18Z","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/1908.03846/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We address the problem of video moment localization with natural language, i.e. localizing a video segment described by a natural language sentence. While most prior work focuses on grounding the query as a whole, temporal dependencies and reasoning between events within the text are not fully considered. In this paper, we propose a novel Temporal Compositional Modular Network (TCMN) where a tree attention network first automatically decomposes a sentence into three descriptions with respect to the main event, context event and temporal signal. Two modules are then utilized to measure the visu","authors_text":"Jiebo Luo, Jinsong Su, Songyang Zhang","cross_cats":["cs.CV","cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2019-08-11T03:59:18Z","title":"Exploiting Temporal Relationships in Video Moment Localization with Natural Language"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.03846","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:a402f627ce0c59f2b8161291763ceddfcfc4b739803d06b53ee1633bd8f2762e","target":"record","created_at":"2026-07-04T23:53:18Z","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":"77329d38a6e6e7c84e00bf2913546a85e7c3ad3302c2bce3368e8bea826d8fed","cross_cats_sorted":["cs.CV","cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2019-08-11T03:59:18Z","title_canon_sha256":"2a8e294c0f4e3d3e5ad0d493c8bc45a7710dd3c5ee544aac3df8e073ba241d32"},"schema_version":"1.0","source":{"id":"1908.03846","kind":"arxiv","version":1}},"canonical_sha256":"dc8a7ef40f43766e534ce41d26bf98bfc9918648c79a8e9b164c470b87015777","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dc8a7ef40f43766e534ce41d26bf98bfc9918648c79a8e9b164c470b87015777","first_computed_at":"2026-07-04T23:53:18.783861Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:53:18.783861Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aepCXQ69FXQIkV48SnQkzXFZLXCuenm7/rZvG55CrImokxjaa86x7xBElQl4yJkHpPnNaxeSs4xUyclPw3njBQ==","signature_status":"signed_v1","signed_at":"2026-07-04T23:53:18.784254Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.03846","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a402f627ce0c59f2b8161291763ceddfcfc4b739803d06b53ee1633bd8f2762e","sha256:4f7299d0f04bdf1eeb251d0ae1000e4e8cc27ec1ba4e5356bf6cc7bf5f9f4ba2"],"state_sha256":"062c5ac32a853f63f80211311bb459d7c7f63ed80778e489c9d879198d03b6dd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bxqq+vlOW+22UA6owJQUWYP+ZM6YpamysEXSdbvWsSmfjAsB+zySuMKyM/t0CHpi7cxXxbnVLL+kto5ZHUykDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T04:40:10.979941Z","bundle_sha256":"ff2851965a8eebce730a63945b0792e0924e11d14087202aa80eb71defbd342a"}}