{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:JGBFERRTUQBYX45WTNMMAGHPQQ","short_pith_number":"pith:JGBFERRT","canonical_record":{"source":{"id":"2201.08071","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-01-20T09:10:20Z","cross_cats_sorted":["cs.AI","cs.CL","cs.MM"],"title_canon_sha256":"51b5ac5e75650d8d676dc33d5d3586e9e1aafaec4c5be8bf5fd1d42cf4e322d0","abstract_canon_sha256":"85989aaaa4d688f8aadd15083fd086b23d5480ca55a66fa6ddf95a5e931e4d7c"},"schema_version":"1.0"},"canonical_sha256":"4982524633a4038bf3b69b58c018ef8418fa046a42bfe3a115647389323f2146","source":{"kind":"arxiv","id":"2201.08071","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.08071","created_at":"2026-07-05T06:03:52Z"},{"alias_kind":"arxiv_version","alias_value":"2201.08071v3","created_at":"2026-07-05T06:03:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.08071","created_at":"2026-07-05T06:03:52Z"},{"alias_kind":"pith_short_12","alias_value":"JGBFERRTUQBY","created_at":"2026-07-05T06:03:52Z"},{"alias_kind":"pith_short_16","alias_value":"JGBFERRTUQBYX45W","created_at":"2026-07-05T06:03:52Z"},{"alias_kind":"pith_short_8","alias_value":"JGBFERRT","created_at":"2026-07-05T06:03:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:JGBFERRTUQBYX45WTNMMAGHPQQ","target":"record","payload":{"canonical_record":{"source":{"id":"2201.08071","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-01-20T09:10:20Z","cross_cats_sorted":["cs.AI","cs.CL","cs.MM"],"title_canon_sha256":"51b5ac5e75650d8d676dc33d5d3586e9e1aafaec4c5be8bf5fd1d42cf4e322d0","abstract_canon_sha256":"85989aaaa4d688f8aadd15083fd086b23d5480ca55a66fa6ddf95a5e931e4d7c"},"schema_version":"1.0"},"canonical_sha256":"4982524633a4038bf3b69b58c018ef8418fa046a42bfe3a115647389323f2146","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:03:52.473008Z","signature_b64":"JLBHZV7l94rO5wEhOcbLfpAwiaWAuw2bu+arSG1UQyMPqRHUr6Axd/F1lZxp9eQVcfPJYX8GQjQ88mBlb7HDCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4982524633a4038bf3b69b58c018ef8418fa046a42bfe3a115647389323f2146","last_reissued_at":"2026-07-05T06:03:52.472480Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:03:52.472480Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2201.08071","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":"2026-07-05T06:03:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XItY6WMJ3dkvLUhWtEYAf9IphZNCzBrmMZwXouFTffNFvHCQ6KSS0g2rabDy4LQOwHLiyL3T5rCj4+Lmqw2wDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T12:49:06.153039Z"},"content_sha256":"6e4c68f79338c7e90b45a862f45c554daa0f7d5759444c0c0cebe372e7f9a3df","schema_version":"1.0","event_id":"sha256:6e4c68f79338c7e90b45a862f45c554daa0f7d5759444c0c0cebe372e7f9a3df"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:JGBFERRTUQBYX45WTNMMAGHPQQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Temporal Sentence Grounding in Videos: A Survey and Future Directions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.MM"],"primary_cat":"cs.CV","authors_text":"Aixin Sun, Hao Zhang, Joey Tianyi Zhou, Wei Jing","submitted_at":"2022-01-20T09:10:20Z","abstract_excerpt":"Temporal sentence grounding in videos (TSGV), \\aka natural language video localization (NLVL) or video moment retrieval (VMR), aims to retrieve a temporal moment that semantically corresponds to a language query from an untrimmed video. Connecting computer vision and natural language, TSGV has drawn significant attention from researchers in both communities. This survey attempts to provide a summary of fundamental concepts in TSGV and current research status, as well as future research directions. As the background, we present a common structure of functional components in TSGV, in a tutorial "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.08071","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/2201.08071/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":"2026-07-05T06:03:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z3UMLzOsnyWNgdAyz88SagMrHWz5h8jwyby+JY6SF0nvLbygVq8t/cO7jBZcjosWkCU+rbZiAC6ERv1FoOsKDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T12:49:06.153607Z"},"content_sha256":"147c8df626d093456aa5f13650625babeff51e9da70a003f5ee13ab3517c9b78","schema_version":"1.0","event_id":"sha256:147c8df626d093456aa5f13650625babeff51e9da70a003f5ee13ab3517c9b78"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JGBFERRTUQBYX45WTNMMAGHPQQ/bundle.json","state_url":"https://pith.science/pith/JGBFERRTUQBYX45WTNMMAGHPQQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JGBFERRTUQBYX45WTNMMAGHPQQ/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":"2026-08-12T12:49:06Z","links":{"resolver":"https://pith.science/pith/JGBFERRTUQBYX45WTNMMAGHPQQ","bundle":"https://pith.science/pith/JGBFERRTUQBYX45WTNMMAGHPQQ/bundle.json","state":"https://pith.science/pith/JGBFERRTUQBYX45WTNMMAGHPQQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JGBFERRTUQBYX45WTNMMAGHPQQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:JGBFERRTUQBYX45WTNMMAGHPQQ","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":"85989aaaa4d688f8aadd15083fd086b23d5480ca55a66fa6ddf95a5e931e4d7c","cross_cats_sorted":["cs.AI","cs.CL","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-01-20T09:10:20Z","title_canon_sha256":"51b5ac5e75650d8d676dc33d5d3586e9e1aafaec4c5be8bf5fd1d42cf4e322d0"},"schema_version":"1.0","source":{"id":"2201.08071","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.08071","created_at":"2026-07-05T06:03:52Z"},{"alias_kind":"arxiv_version","alias_value":"2201.08071v3","created_at":"2026-07-05T06:03:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.08071","created_at":"2026-07-05T06:03:52Z"},{"alias_kind":"pith_short_12","alias_value":"JGBFERRTUQBY","created_at":"2026-07-05T06:03:52Z"},{"alias_kind":"pith_short_16","alias_value":"JGBFERRTUQBYX45W","created_at":"2026-07-05T06:03:52Z"},{"alias_kind":"pith_short_8","alias_value":"JGBFERRT","created_at":"2026-07-05T06:03:52Z"}],"graph_snapshots":[{"event_id":"sha256:147c8df626d093456aa5f13650625babeff51e9da70a003f5ee13ab3517c9b78","target":"graph","created_at":"2026-07-05T06:03:52Z","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/2201.08071/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Temporal sentence grounding in videos (TSGV), \\aka natural language video localization (NLVL) or video moment retrieval (VMR), aims to retrieve a temporal moment that semantically corresponds to a language query from an untrimmed video. Connecting computer vision and natural language, TSGV has drawn significant attention from researchers in both communities. This survey attempts to provide a summary of fundamental concepts in TSGV and current research status, as well as future research directions. As the background, we present a common structure of functional components in TSGV, in a tutorial ","authors_text":"Aixin Sun, Hao Zhang, Joey Tianyi Zhou, Wei Jing","cross_cats":["cs.AI","cs.CL","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-01-20T09:10:20Z","title":"Temporal Sentence Grounding in Videos: A Survey and Future Directions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.08071","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":"sha256:6e4c68f79338c7e90b45a862f45c554daa0f7d5759444c0c0cebe372e7f9a3df","target":"record","created_at":"2026-07-05T06:03:52Z","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":"85989aaaa4d688f8aadd15083fd086b23d5480ca55a66fa6ddf95a5e931e4d7c","cross_cats_sorted":["cs.AI","cs.CL","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-01-20T09:10:20Z","title_canon_sha256":"51b5ac5e75650d8d676dc33d5d3586e9e1aafaec4c5be8bf5fd1d42cf4e322d0"},"schema_version":"1.0","source":{"id":"2201.08071","kind":"arxiv","version":3}},"canonical_sha256":"4982524633a4038bf3b69b58c018ef8418fa046a42bfe3a115647389323f2146","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4982524633a4038bf3b69b58c018ef8418fa046a42bfe3a115647389323f2146","first_computed_at":"2026-07-05T06:03:52.472480Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:03:52.472480Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JLBHZV7l94rO5wEhOcbLfpAwiaWAuw2bu+arSG1UQyMPqRHUr6Axd/F1lZxp9eQVcfPJYX8GQjQ88mBlb7HDCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:03:52.473008Z","signed_message":"canonical_sha256_bytes"},"source_id":"2201.08071","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6e4c68f79338c7e90b45a862f45c554daa0f7d5759444c0c0cebe372e7f9a3df","sha256:147c8df626d093456aa5f13650625babeff51e9da70a003f5ee13ab3517c9b78"],"state_sha256":"3f69c437cfba0786ad3258982d6b04772d56e87a971b1a73c0c49167979e7778"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"npXB3xqCoLChkgvOkKAoYwK2QzhY2uTcM8cm6a+qkRBHUOIKmu+JtDCJ/kzPKQtlO6+Dlh0aSlJu7wFvSk7gCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T12:49:06.157947Z","bundle_sha256":"919b514f91c0a78d81426d98c2cdb7c1e1e5908988c288a9c3730525906fbc29"}}