{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:QOFY2EI56TALAAFWSQBJQAPCXJ","short_pith_number":"pith:QOFY2EI5","schema_version":"1.0","canonical_sha256":"838b8d111df4c0b000b694029801e2ba6ec5c7d353bb014604b5f78c37db2352","source":{"kind":"arxiv","id":"2605.29004","version":1},"attestation_state":"computed","paper":{"title":"Auditing Training-Free 3D Shape Retrieval with Diffused Geodesic Moments","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Changyue Liu, Lan Ma, Wenji Xi, Yang Liu, Zhaotian Xie, Zhicheng Du, Zhuo Deng, Ziheng Zhang","submitted_at":"2026-05-27T19:00:41Z","abstract_excerpt":"Reported retrieval scores for training-free shape descriptors conflate local signal design, normalization, aggregation, codebook fitting, and metric choices, making isolated component evaluation difficult. This paper reframes descriptor evaluation as a {\\em protocol audit}. We introduce Diffused Geodesic Moments (DGM), a seed-conditioned descriptor that computes sparse implicit heat responses, converts them to distance-like fields, and summarizes each vertex by low-order moments across seeds and scales. DGM is used both as a practical non-spectral baseline and as an instrument for isolating pr"},"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":"2605.29004","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-27T19:00:41Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"4301f1595f1f808889a147b0990e164e3db4f19c124e2d7c9838183d094b22f2","abstract_canon_sha256":"e4c5c36b21c378bae0b1bbd2e52a64e953cbc3100d0ddf9cf0a22354e37753e0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T01:04:43.257708Z","signature_b64":"qAdyDU/Wr3NM0GxYfaLFZQ37kKSutwfrosRKbGBikFk3cTdHWKjFgrylURKtfmRiuJptIv+abt3ij6FmjZOtAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"838b8d111df4c0b000b694029801e2ba6ec5c7d353bb014604b5f78c37db2352","last_reissued_at":"2026-05-29T01:04:43.257276Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T01:04:43.257276Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Auditing Training-Free 3D Shape Retrieval with Diffused Geodesic Moments","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Changyue Liu, Lan Ma, Wenji Xi, Yang Liu, Zhaotian Xie, Zhicheng Du, Zhuo Deng, Ziheng Zhang","submitted_at":"2026-05-27T19:00:41Z","abstract_excerpt":"Reported retrieval scores for training-free shape descriptors conflate local signal design, normalization, aggregation, codebook fitting, and metric choices, making isolated component evaluation difficult. This paper reframes descriptor evaluation as a {\\em protocol audit}. We introduce Diffused Geodesic Moments (DGM), a seed-conditioned descriptor that computes sparse implicit heat responses, converts them to distance-like fields, and summarizes each vertex by low-order moments across seeds and scales. DGM is used both as a practical non-spectral baseline and as an instrument for isolating pr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.29004","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/2605.29004/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":"2605.29004","created_at":"2026-05-29T01:04:43.257343+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.29004v1","created_at":"2026-05-29T01:04:43.257343+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.29004","created_at":"2026-05-29T01:04:43.257343+00:00"},{"alias_kind":"pith_short_12","alias_value":"QOFY2EI56TAL","created_at":"2026-05-29T01:04:43.257343+00:00"},{"alias_kind":"pith_short_16","alias_value":"QOFY2EI56TALAAFW","created_at":"2026-05-29T01:04:43.257343+00:00"},{"alias_kind":"pith_short_8","alias_value":"QOFY2EI5","created_at":"2026-05-29T01:04:43.257343+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/QOFY2EI56TALAAFWSQBJQAPCXJ","json":"https://pith.science/pith/QOFY2EI56TALAAFWSQBJQAPCXJ.json","graph_json":"https://pith.science/api/pith-number/QOFY2EI56TALAAFWSQBJQAPCXJ/graph.json","events_json":"https://pith.science/api/pith-number/QOFY2EI56TALAAFWSQBJQAPCXJ/events.json","paper":"https://pith.science/paper/QOFY2EI5"},"agent_actions":{"view_html":"https://pith.science/pith/QOFY2EI56TALAAFWSQBJQAPCXJ","download_json":"https://pith.science/pith/QOFY2EI56TALAAFWSQBJQAPCXJ.json","view_paper":"https://pith.science/paper/QOFY2EI5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.29004&json=true","fetch_graph":"https://pith.science/api/pith-number/QOFY2EI56TALAAFWSQBJQAPCXJ/graph.json","fetch_events":"https://pith.science/api/pith-number/QOFY2EI56TALAAFWSQBJQAPCXJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QOFY2EI56TALAAFWSQBJQAPCXJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QOFY2EI56TALAAFWSQBJQAPCXJ/action/storage_attestation","attest_author":"https://pith.science/pith/QOFY2EI56TALAAFWSQBJQAPCXJ/action/author_attestation","sign_citation":"https://pith.science/pith/QOFY2EI56TALAAFWSQBJQAPCXJ/action/citation_signature","submit_replication":"https://pith.science/pith/QOFY2EI56TALAAFWSQBJQAPCXJ/action/replication_record"}},"created_at":"2026-05-29T01:04:43.257343+00:00","updated_at":"2026-05-29T01:04:43.257343+00:00"}