{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:S65ZCA7D2ZCFHCYQZV25M3YFG4","short_pith_number":"pith:S65ZCA7D","schema_version":"1.0","canonical_sha256":"97bb9103e3d644538b10cd75d66f053710bf55413be748c9bc40710598501b7b","source":{"kind":"arxiv","id":"1704.02445","version":1},"attestation_state":"computed","paper":{"title":"Exact 3D seismic data reconstruction using Tubal-Alt-Min algorithm","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CE","authors_text":"Feng Qian, Guang-Min Hu, Ming-Jun Su, Quan Chen, Xiao-Yang Liu","submitted_at":"2017-04-08T06:12:40Z","abstract_excerpt":"Data missing is an common issue in seismic data, and many methods have been proposed to solve it. In this paper, we present the low-tubal-rank tensor model and a novel tensor completion algorithm to recover 3D seismic data. This is a fast iterative algorithm, called Tubal-Alt-Min which completes our 3D seismic data by exploiting the low-tubal-rank property expressed as the product of two much smaller tensors. TubalAlt-Min alternates between estimating those two tensor using least squares minimization. We evaluate its reconstruction performance both on synthetic seismic data and land data surve"},"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":"1704.02445","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2017-04-08T06:12:40Z","cross_cats_sorted":[],"title_canon_sha256":"2f989fb2bfce27fa77f779e60ca203cf568ccbd80aed03d56059ea3135c3ea18","abstract_canon_sha256":"83e91f0855a8ea1e29f827e8b025b70643330a228e36c69eff5713d1c8591eb5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:46:45.496428Z","signature_b64":"OMWwH/lQifT5thcFg1VjgvoGGoxlzeOsHsuhzzWsu/Qgs7OpD0SDJonHx8R+P3Ps3KtaHoN2lvNyRLlYzTzJDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"97bb9103e3d644538b10cd75d66f053710bf55413be748c9bc40710598501b7b","last_reissued_at":"2026-05-18T00:46:45.495833Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:46:45.495833Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Exact 3D seismic data reconstruction using Tubal-Alt-Min algorithm","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CE","authors_text":"Feng Qian, Guang-Min Hu, Ming-Jun Su, Quan Chen, Xiao-Yang Liu","submitted_at":"2017-04-08T06:12:40Z","abstract_excerpt":"Data missing is an common issue in seismic data, and many methods have been proposed to solve it. In this paper, we present the low-tubal-rank tensor model and a novel tensor completion algorithm to recover 3D seismic data. This is a fast iterative algorithm, called Tubal-Alt-Min which completes our 3D seismic data by exploiting the low-tubal-rank property expressed as the product of two much smaller tensors. TubalAlt-Min alternates between estimating those two tensor using least squares minimization. We evaluate its reconstruction performance both on synthetic seismic data and land data surve"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.02445","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":""},"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":"1704.02445","created_at":"2026-05-18T00:46:45.495933+00:00"},{"alias_kind":"arxiv_version","alias_value":"1704.02445v1","created_at":"2026-05-18T00:46:45.495933+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.02445","created_at":"2026-05-18T00:46:45.495933+00:00"},{"alias_kind":"pith_short_12","alias_value":"S65ZCA7D2ZCF","created_at":"2026-05-18T12:31:43.269735+00:00"},{"alias_kind":"pith_short_16","alias_value":"S65ZCA7D2ZCFHCYQ","created_at":"2026-05-18T12:31:43.269735+00:00"},{"alias_kind":"pith_short_8","alias_value":"S65ZCA7D","created_at":"2026-05-18T12:31:43.269735+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/S65ZCA7D2ZCFHCYQZV25M3YFG4","json":"https://pith.science/pith/S65ZCA7D2ZCFHCYQZV25M3YFG4.json","graph_json":"https://pith.science/api/pith-number/S65ZCA7D2ZCFHCYQZV25M3YFG4/graph.json","events_json":"https://pith.science/api/pith-number/S65ZCA7D2ZCFHCYQZV25M3YFG4/events.json","paper":"https://pith.science/paper/S65ZCA7D"},"agent_actions":{"view_html":"https://pith.science/pith/S65ZCA7D2ZCFHCYQZV25M3YFG4","download_json":"https://pith.science/pith/S65ZCA7D2ZCFHCYQZV25M3YFG4.json","view_paper":"https://pith.science/paper/S65ZCA7D","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1704.02445&json=true","fetch_graph":"https://pith.science/api/pith-number/S65ZCA7D2ZCFHCYQZV25M3YFG4/graph.json","fetch_events":"https://pith.science/api/pith-number/S65ZCA7D2ZCFHCYQZV25M3YFG4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/S65ZCA7D2ZCFHCYQZV25M3YFG4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/S65ZCA7D2ZCFHCYQZV25M3YFG4/action/storage_attestation","attest_author":"https://pith.science/pith/S65ZCA7D2ZCFHCYQZV25M3YFG4/action/author_attestation","sign_citation":"https://pith.science/pith/S65ZCA7D2ZCFHCYQZV25M3YFG4/action/citation_signature","submit_replication":"https://pith.science/pith/S65ZCA7D2ZCFHCYQZV25M3YFG4/action/replication_record"}},"created_at":"2026-05-18T00:46:45.495933+00:00","updated_at":"2026-05-18T00:46:45.495933+00:00"}