{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:ITY2TLJY26T5UHURPHMMTULRYA","short_pith_number":"pith:ITY2TLJY","schema_version":"1.0","canonical_sha256":"44f1a9ad38d7a7da1e9179d8c9d171c0389698b7db3b1819729dd6fe36ae82ff","source":{"kind":"arxiv","id":"2310.06486","version":1},"attestation_state":"computed","paper":{"title":"Topological RANSAC for instance verification and retrieval without fine-tuning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.IR"],"primary_cat":"cs.AI","authors_text":"Guoyuan An, Inkyu An, Juhyung Seon, Sung-Eui Yoon, Yuchi Huo","submitted_at":"2023-10-10T09:53:59Z","abstract_excerpt":"This paper presents an innovative approach to enhancing explainable image retrieval, particularly in situations where a fine-tuning set is unavailable. The widely-used SPatial verification (SP) method, despite its efficacy, relies on a spatial model and the hypothesis-testing strategy for instance recognition, leading to inherent limitations, including the assumption of planar structures and neglect of topological relations among features. To address these shortcomings, we introduce a pioneering technique that replaces the spatial model with a topological one within the RANSAC process. We prop"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2310.06486","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-10-10T09:53:59Z","cross_cats_sorted":["cs.CV","cs.IR"],"title_canon_sha256":"1d8caa40409966fcb0b89a79a138ca2f890bf602cda02c0562ad88accc27b0eb","abstract_canon_sha256":"5d49251e657e30f70a5b7e021b020ccf9cff2171a690309b56d9ac1de73387f7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:59:12.289063Z","signature_b64":"BcWrrzPQx3pQ5m4KnI3y9dc3yhnL3hnJEzeEOWlkLLcepLUf3ZHawBJ5sU57ov9YoreoMS7GDAuGyEVe5C7eCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"44f1a9ad38d7a7da1e9179d8c9d171c0389698b7db3b1819729dd6fe36ae82ff","last_reissued_at":"2026-07-05T06:59:12.288715Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:59:12.288715Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Topological RANSAC for instance verification and retrieval without fine-tuning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.IR"],"primary_cat":"cs.AI","authors_text":"Guoyuan An, Inkyu An, Juhyung Seon, Sung-Eui Yoon, Yuchi Huo","submitted_at":"2023-10-10T09:53:59Z","abstract_excerpt":"This paper presents an innovative approach to enhancing explainable image retrieval, particularly in situations where a fine-tuning set is unavailable. The widely-used SPatial verification (SP) method, despite its efficacy, relies on a spatial model and the hypothesis-testing strategy for instance recognition, leading to inherent limitations, including the assumption of planar structures and neglect of topological relations among features. To address these shortcomings, we introduce a pioneering technique that replaces the spatial model with a topological one within the RANSAC process. We prop"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.06486","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/2310.06486/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2310.06486","created_at":"2026-07-05T06:59:12.288778+00:00"},{"alias_kind":"arxiv_version","alias_value":"2310.06486v1","created_at":"2026-07-05T06:59:12.288778+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.06486","created_at":"2026-07-05T06:59:12.288778+00:00"},{"alias_kind":"pith_short_12","alias_value":"ITY2TLJY26T5","created_at":"2026-07-05T06:59:12.288778+00:00"},{"alias_kind":"pith_short_16","alias_value":"ITY2TLJY26T5UHUR","created_at":"2026-07-05T06:59:12.288778+00:00"},{"alias_kind":"pith_short_8","alias_value":"ITY2TLJY","created_at":"2026-07-05T06:59:12.288778+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ITY2TLJY26T5UHURPHMMTULRYA","json":"https://pith.science/pith/ITY2TLJY26T5UHURPHMMTULRYA.json","graph_json":"https://pith.science/api/pith-number/ITY2TLJY26T5UHURPHMMTULRYA/graph.json","events_json":"https://pith.science/api/pith-number/ITY2TLJY26T5UHURPHMMTULRYA/events.json","paper":"https://pith.science/paper/ITY2TLJY"},"agent_actions":{"view_html":"https://pith.science/pith/ITY2TLJY26T5UHURPHMMTULRYA","download_json":"https://pith.science/pith/ITY2TLJY26T5UHURPHMMTULRYA.json","view_paper":"https://pith.science/paper/ITY2TLJY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2310.06486&json=true","fetch_graph":"https://pith.science/api/pith-number/ITY2TLJY26T5UHURPHMMTULRYA/graph.json","fetch_events":"https://pith.science/api/pith-number/ITY2TLJY26T5UHURPHMMTULRYA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ITY2TLJY26T5UHURPHMMTULRYA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ITY2TLJY26T5UHURPHMMTULRYA/action/storage_attestation","attest_author":"https://pith.science/pith/ITY2TLJY26T5UHURPHMMTULRYA/action/author_attestation","sign_citation":"https://pith.science/pith/ITY2TLJY26T5UHURPHMMTULRYA/action/citation_signature","submit_replication":"https://pith.science/pith/ITY2TLJY26T5UHURPHMMTULRYA/action/replication_record"}},"created_at":"2026-07-05T06:59:12.288778+00:00","updated_at":"2026-07-05T06:59:12.288778+00:00"}