{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:4PWQJXWACQ42VMYUGWSXYDI3XL","short_pith_number":"pith:4PWQJXWA","schema_version":"1.0","canonical_sha256":"e3ed04dec01439aab31435a57c0d1bbac32787333668cb1bde5db5eacc478f41","source":{"kind":"arxiv","id":"2606.07766","version":1},"attestation_state":"computed","paper":{"title":"Quantum-Enhanced Similarity Measures for Polarimetric Materials Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Ali Shiri Sichani, Emma Bennett, Filiz Bunyak, G. N. DeSouza, Hadi Ali-Akbarpour, Ilker Ersoy, Param Sangani, Sara Shojaei, Seyed Mohamad Ali Tousi","submitted_at":"2026-06-05T18:24:49Z","abstract_excerpt":"We present a quantum--classical hybrid pipeline for polarimetric material classification that casts this as a point-matching problem. Voxel cubes, containing polarized light reflections, are used to train an encoder to produce 32-dimensional embeddings for the voxels of the cubes. At inference, the encoder head is discarded and the embeddings are encoded as probability amplitudes of quantum states. Next, a SWAP-test circuit estimates the fidelity between each of the 32D embeddings from the query cube and a dataset of anchor cubes. The aggregated fidelity serves as materials similarity scores, "},"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":"2606.07766","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-05T18:24:49Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"93c6c7cfadd5f1985ad5d659b9aedcb3f10baa72dadbc7251d2c582a503fa80a","abstract_canon_sha256":"9ad6e9b7fafc5fee7db22dd2b5e0222d7fe6250044d382d10a0ab4d8243f6ec8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T01:04:51.690154Z","signature_b64":"0P4N6ahKzNJrzl+j8nCazmVQO4mnTCd9oUgyBusxuXzV6kt9pKWERvKYWnFr6qh8CYGj7evuY/uqY12wCTIhAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e3ed04dec01439aab31435a57c0d1bbac32787333668cb1bde5db5eacc478f41","last_reissued_at":"2026-06-09T01:04:51.689627Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T01:04:51.689627Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Quantum-Enhanced Similarity Measures for Polarimetric Materials Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Ali Shiri Sichani, Emma Bennett, Filiz Bunyak, G. N. DeSouza, Hadi Ali-Akbarpour, Ilker Ersoy, Param Sangani, Sara Shojaei, Seyed Mohamad Ali Tousi","submitted_at":"2026-06-05T18:24:49Z","abstract_excerpt":"We present a quantum--classical hybrid pipeline for polarimetric material classification that casts this as a point-matching problem. Voxel cubes, containing polarized light reflections, are used to train an encoder to produce 32-dimensional embeddings for the voxels of the cubes. At inference, the encoder head is discarded and the embeddings are encoded as probability amplitudes of quantum states. Next, a SWAP-test circuit estimates the fidelity between each of the 32D embeddings from the query cube and a dataset of anchor cubes. The aggregated fidelity serves as materials similarity scores, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.07766","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/2606.07766/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":"2606.07766","created_at":"2026-06-09T01:04:51.689692+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.07766v1","created_at":"2026-06-09T01:04:51.689692+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.07766","created_at":"2026-06-09T01:04:51.689692+00:00"},{"alias_kind":"pith_short_12","alias_value":"4PWQJXWACQ42","created_at":"2026-06-09T01:04:51.689692+00:00"},{"alias_kind":"pith_short_16","alias_value":"4PWQJXWACQ42VMYU","created_at":"2026-06-09T01:04:51.689692+00:00"},{"alias_kind":"pith_short_8","alias_value":"4PWQJXWA","created_at":"2026-06-09T01:04:51.689692+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/4PWQJXWACQ42VMYUGWSXYDI3XL","json":"https://pith.science/pith/4PWQJXWACQ42VMYUGWSXYDI3XL.json","graph_json":"https://pith.science/api/pith-number/4PWQJXWACQ42VMYUGWSXYDI3XL/graph.json","events_json":"https://pith.science/api/pith-number/4PWQJXWACQ42VMYUGWSXYDI3XL/events.json","paper":"https://pith.science/paper/4PWQJXWA"},"agent_actions":{"view_html":"https://pith.science/pith/4PWQJXWACQ42VMYUGWSXYDI3XL","download_json":"https://pith.science/pith/4PWQJXWACQ42VMYUGWSXYDI3XL.json","view_paper":"https://pith.science/paper/4PWQJXWA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.07766&json=true","fetch_graph":"https://pith.science/api/pith-number/4PWQJXWACQ42VMYUGWSXYDI3XL/graph.json","fetch_events":"https://pith.science/api/pith-number/4PWQJXWACQ42VMYUGWSXYDI3XL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4PWQJXWACQ42VMYUGWSXYDI3XL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4PWQJXWACQ42VMYUGWSXYDI3XL/action/storage_attestation","attest_author":"https://pith.science/pith/4PWQJXWACQ42VMYUGWSXYDI3XL/action/author_attestation","sign_citation":"https://pith.science/pith/4PWQJXWACQ42VMYUGWSXYDI3XL/action/citation_signature","submit_replication":"https://pith.science/pith/4PWQJXWACQ42VMYUGWSXYDI3XL/action/replication_record"}},"created_at":"2026-06-09T01:04:51.689692+00:00","updated_at":"2026-06-09T01:04:51.689692+00:00"}