{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:XSYKY7HS5JWSPKXN56MP7QRG6A","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":"9fe3fbe6abcabbf53321478a5f971f4d71fad8b7238ea42953c8e6cd9ef29512","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-03-02T12:59:33Z","title_canon_sha256":"7f4cf8cd271ddd4b76c29e0738648f39deb3018c8dc6dffaf5a214bf1174b4b9"},"schema_version":"1.0","source":{"id":"2203.01077","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.01077","created_at":"2026-07-05T07:27:40Z"},{"alias_kind":"arxiv_version","alias_value":"2203.01077v4","created_at":"2026-07-05T07:27:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.01077","created_at":"2026-07-05T07:27:40Z"},{"alias_kind":"pith_short_12","alias_value":"XSYKY7HS5JWS","created_at":"2026-07-05T07:27:40Z"},{"alias_kind":"pith_short_16","alias_value":"XSYKY7HS5JWSPKXN","created_at":"2026-07-05T07:27:40Z"},{"alias_kind":"pith_short_8","alias_value":"XSYKY7HS","created_at":"2026-07-05T07:27:40Z"}],"graph_snapshots":[{"event_id":"sha256:745711d76649859a839795aca3ab8fc3a23dd078eacaef30af967a33c46b4e17","target":"graph","created_at":"2026-07-05T07:27:40Z","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/2203.01077/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The accuracy of tinyML applications is often affected by various environmental factors, such as noises, location/calibration of sensors, and time-related changes. This article introduces a neural network based on-device learning (ODL) approach to address this issue by retraining in deployed environments. Our approach relies on semi-supervised sequential training of multiple neural networks tailored for low-end edge devices. This article introduces its algorithm and implementation on wireless sensor nodes consisting of a Raspberry Pi Pico and low-power wireless module. Experiments using vibrati","authors_text":"Hiroki Matsutani, Kazuki Sunaga, Masaaki Kondo","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-03-02T12:59:33Z","title":"Addressing Gap between Training Data and Deployed Environment by On-Device Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.01077","kind":"arxiv","version":4},"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":"sha256:4e697ad5c7018cbab70ce6116d1a51ced0fcfb4de342416727a51060fecaa028","target":"record","created_at":"2026-07-05T07:27:40Z","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":"9fe3fbe6abcabbf53321478a5f971f4d71fad8b7238ea42953c8e6cd9ef29512","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-03-02T12:59:33Z","title_canon_sha256":"7f4cf8cd271ddd4b76c29e0738648f39deb3018c8dc6dffaf5a214bf1174b4b9"},"schema_version":"1.0","source":{"id":"2203.01077","kind":"arxiv","version":4}},"canonical_sha256":"bcb0ac7cf2ea6d27aaedef98ffc226f00ce989b2374e70c2bdd18fdccadb28a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bcb0ac7cf2ea6d27aaedef98ffc226f00ce989b2374e70c2bdd18fdccadb28a6","first_computed_at":"2026-07-05T07:27:40.259201Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:27:40.259201Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YidtRhZBAaKa6Anr/C8Cb7fS/ek+h0/HHHgTOX/wnT1u3JoJPn9FlrvuTrLa6ajewmImSL48XX/xzB6glZmPDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:27:40.259643Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.01077","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4e697ad5c7018cbab70ce6116d1a51ced0fcfb4de342416727a51060fecaa028","sha256:745711d76649859a839795aca3ab8fc3a23dd078eacaef30af967a33c46b4e17"],"state_sha256":"302dacb456692e3631357e5cc837bcbf621da88b577155a62e235cfa2f54db30"}