{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3BOAL4Z42UUAOTPQG6SVHC3FRX","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":"5dccba4936698afef895c577656f89e3b4dc7ec403ef7e05d3ad0982ac3e7332","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T05:15:38Z","title_canon_sha256":"0f992db5dc3d3719798fa1bb37ff9659538508880628a1c3f1098d439913023f"},"schema_version":"1.0","source":{"id":"2411.16096","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.16096","created_at":"2026-07-05T09:40:04Z"},{"alias_kind":"arxiv_version","alias_value":"2411.16096v1","created_at":"2026-07-05T09:40:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.16096","created_at":"2026-07-05T09:40:04Z"},{"alias_kind":"pith_short_12","alias_value":"3BOAL4Z42UUA","created_at":"2026-07-05T09:40:04Z"},{"alias_kind":"pith_short_16","alias_value":"3BOAL4Z42UUAOTPQ","created_at":"2026-07-05T09:40:04Z"},{"alias_kind":"pith_short_8","alias_value":"3BOAL4Z4","created_at":"2026-07-05T09:40:04Z"}],"graph_snapshots":[{"event_id":"sha256:b3683b4a5eb6df10b45c8dd96d6a39a955ad843a88bc84b65dec94b8e2209622","target":"graph","created_at":"2026-07-05T09:40:04Z","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/2411.16096/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal search has revolutionized the fashion industry, providing a seamless and intuitive way for users to discover and explore fashion items. Based on their preferences, style, or specific attributes, users can search for products by combining text and image information. Text-to-image searches enable users to find visually similar items or describe products using natural language. This paper presents an innovative approach called ENCLIP, for enhancing the performance of the Contrastive Language-Image Pretraining (CLIP) model, specifically in Multimodal Search targeted towards the domain o","authors_text":"Prithviraj Purushottam Naik, Rohit Agarwal","cross_cats":["cs.AI","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T05:15:38Z","title":"ENCLIP: Ensembling and Clustering-Based Contrastive Language-Image Pretraining for Fashion Multimodal Search with Limited Data and Low-Quality Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.16096","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":"sha256:2b58e23e24e0dfaa4ce380f8caf0914b7f96d9d1afd69559d11c5ea505d3d5eb","target":"record","created_at":"2026-07-05T09:40:04Z","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":"5dccba4936698afef895c577656f89e3b4dc7ec403ef7e05d3ad0982ac3e7332","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T05:15:38Z","title_canon_sha256":"0f992db5dc3d3719798fa1bb37ff9659538508880628a1c3f1098d439913023f"},"schema_version":"1.0","source":{"id":"2411.16096","kind":"arxiv","version":1}},"canonical_sha256":"d85c05f33cd528074df037a5538b658dec817d9915085d7eda52230f8de0cbb6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d85c05f33cd528074df037a5538b658dec817d9915085d7eda52230f8de0cbb6","first_computed_at":"2026-07-05T09:40:04.019946Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:40:04.019946Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3cCW/lSQdSEc2qGatwOv/xdl8rUZJJHvBlkcG5DVZNsnnXtwCWJwTqDkU8aInDtL6tCDRKQHf+7RLTgfMnxTAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:40:04.020412Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.16096","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b58e23e24e0dfaa4ce380f8caf0914b7f96d9d1afd69559d11c5ea505d3d5eb","sha256:b3683b4a5eb6df10b45c8dd96d6a39a955ad843a88bc84b65dec94b8e2209622"],"state_sha256":"db2c858258d4b49af3f06dad798dd02a4220be27c2c197a286c0f55853b176ab"}