{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:AX4PQ4C6HHTNZH3VBEEM47DGJT","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":"2c0963068af0ccd00064edd45ef5ae49f6fcd1ae4b492aaf6ae53f001511a9a1","cross_cats_sorted":["cs.LG","cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2022-03-20T04:48:52Z","title_canon_sha256":"342380aab37d43ae0d2daed7c27b899a75f45d80b715bb918c61d8df704ba295"},"schema_version":"1.0","source":{"id":"2203.12594","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.12594","created_at":"2026-07-05T04:08:01Z"},{"alias_kind":"arxiv_version","alias_value":"2203.12594v1","created_at":"2026-07-05T04:08:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.12594","created_at":"2026-07-05T04:08:01Z"},{"alias_kind":"pith_short_12","alias_value":"AX4PQ4C6HHTN","created_at":"2026-07-05T04:08:01Z"},{"alias_kind":"pith_short_16","alias_value":"AX4PQ4C6HHTNZH3V","created_at":"2026-07-05T04:08:01Z"},{"alias_kind":"pith_short_8","alias_value":"AX4PQ4C6","created_at":"2026-07-05T04:08:01Z"}],"graph_snapshots":[{"event_id":"sha256:95e7940214396304532ccf89ec490b743329482ea53334f0828f0892b6972076","target":"graph","created_at":"2026-07-05T04:08:01Z","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/2203.12594/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The coin-tap test is a convenient and primary method for non-destructive testing, while its manual on-site operation is tough and costly. With the help of the latest intelligent signal processing method, convolutional neural networks (CNN), we achieve an intelligent coin-tap test which exhibited superior performance in recognizing the defects. However, this success of CNNs relies on plenty of well-labeled data from the identical scenario, which could be difficult to get for many real industrial practices. This paper further develops transfer learning strategies for this issue, that is, to tran","authors_text":"Hongyu Li, Peng Jiang, Tiejun Wang","cross_cats":["cs.LG","cs.SD","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2022-03-20T04:48:52Z","title":"Deep Learning based Intelligent Coin-tap Test for Defect Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.12594","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:c82b9f78ee9cb5d8694f680915afdfa92b83f0f8798e28afe2ffb9af0026d719","target":"record","created_at":"2026-07-05T04:08:01Z","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":"2c0963068af0ccd00064edd45ef5ae49f6fcd1ae4b492aaf6ae53f001511a9a1","cross_cats_sorted":["cs.LG","cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2022-03-20T04:48:52Z","title_canon_sha256":"342380aab37d43ae0d2daed7c27b899a75f45d80b715bb918c61d8df704ba295"},"schema_version":"1.0","source":{"id":"2203.12594","kind":"arxiv","version":1}},"canonical_sha256":"05f8f8705e39e6dc9f750908ce7c664ce0366ac0da7917d6354c0c604e194c0c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"05f8f8705e39e6dc9f750908ce7c664ce0366ac0da7917d6354c0c604e194c0c","first_computed_at":"2026-07-05T04:08:01.573428Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:08:01.573428Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6TQqvX4vc4UwKzRNY39yfRft/gOE+IhIl+J3xYDVR9Zfok3r/Ez2hjqGOBvqIIkPWn3v6JynZJvejpbysXyhAw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:08:01.573925Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.12594","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c82b9f78ee9cb5d8694f680915afdfa92b83f0f8798e28afe2ffb9af0026d719","sha256:95e7940214396304532ccf89ec490b743329482ea53334f0828f0892b6972076"],"state_sha256":"a0d2c576307b5118c7feea3ad7c6fe81a856b34d7e37842618ad62bb90c3f308"}