{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:G2S7NFRPV2TQC2FKKBXQKCHNHC","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":"d2ff208fab5e2418d3d887fd76ff33f2e1cfe87ea22d3599632fa2dd4b8e6a72","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-05-18T07:17:14Z","title_canon_sha256":"1c7e46004dc0802f4fa987ecc9f2c4d8c473bc4dd08c083e09386bb0331ae339"},"schema_version":"1.0","source":{"id":"2605.17959","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.17959","created_at":"2026-05-20T00:05:08Z"},{"alias_kind":"arxiv_version","alias_value":"2605.17959v1","created_at":"2026-05-20T00:05:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17959","created_at":"2026-05-20T00:05:08Z"},{"alias_kind":"pith_short_12","alias_value":"G2S7NFRPV2TQ","created_at":"2026-05-20T00:05:08Z"},{"alias_kind":"pith_short_16","alias_value":"G2S7NFRPV2TQC2FK","created_at":"2026-05-20T00:05:08Z"},{"alias_kind":"pith_short_8","alias_value":"G2S7NFRP","created_at":"2026-05-20T00:05:08Z"}],"graph_snapshots":[{"event_id":"sha256:263dc0e6b8b7c19917fe9373f1d72c9d278c28d7e204bedcb7900bd619a72e1c","target":"graph","created_at":"2026-05-20T00:05:08Z","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":[{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T23:33:35.588650Z","status":"skipped","version":"1.0.0"}],"endpoint":"/pith/2605.17959/integrity.json","findings":[],"snapshot_sha256":"77c27aa0e4d1fc2e56c2a2e8cae5face05d8a595b4163f8e5db7a899148fa589","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text-video retrieval aims to find the most semantically similar videos with given text queries. However, since videos contain more diverse content than texts, the main semantics expressed by each text-video pair is often partially relevant. The primary methods involve the utilization of language-video attention module to align texts and videos. Though effective, this paradigm inevitably introduces prohibitive computational overhead, resulting in inefficient retrieval. In this paper, we propose a simple yet effective method called Global-Local Contrastive Consistency Learning (GLCCL) to achieve","authors_text":"Genke Yang, Xiaolun Jing, Xinxing Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-05-18T07:17:14Z","title":"Text-Video Retrieval With Global-Local Contrastive Consistency Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17959","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:e4befc4769cf6a2b9b4cb03876cf4c967ea6a12343a441267c32f16e138c0e7b","target":"record","created_at":"2026-05-20T00:05:08Z","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":"d2ff208fab5e2418d3d887fd76ff33f2e1cfe87ea22d3599632fa2dd4b8e6a72","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-05-18T07:17:14Z","title_canon_sha256":"1c7e46004dc0802f4fa987ecc9f2c4d8c473bc4dd08c083e09386bb0331ae339"},"schema_version":"1.0","source":{"id":"2605.17959","kind":"arxiv","version":1}},"canonical_sha256":"36a5f6962faea70168aa506f0508ed38a80e296a232f86edb3623cb81c15d862","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"36a5f6962faea70168aa506f0508ed38a80e296a232f86edb3623cb81c15d862","first_computed_at":"2026-05-20T00:05:08.205220Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:05:08.205220Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YUuHAzLQD2TRuLQJBz3eWlVvCF1auCfqXbpOPcLct5icac6QBsu0lc+RgYGkKS3wyFSIdr6wih822scXqZkyAA==","signature_status":"signed_v1","signed_at":"2026-05-20T00:05:08.206209Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.17959","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e4befc4769cf6a2b9b4cb03876cf4c967ea6a12343a441267c32f16e138c0e7b","sha256:263dc0e6b8b7c19917fe9373f1d72c9d278c28d7e204bedcb7900bd619a72e1c"],"state_sha256":"ee1b594e6ecc5056d47f7492c7710ed428f26a8bf78a6eea2ed9c7c2f2737d1c"}