{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:QDIGRN7E43PJ5YWVQMWQWSFK5L","short_pith_number":"pith:QDIGRN7E","canonical_record":{"source":{"id":"2304.06489","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2023-04-07T01:33:42Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"1e1cab6c23198413807b6ef9877ca1a614a6e53be870b84d7284123b31f411b6","abstract_canon_sha256":"8f947caa63b2394e03d24fcdf2eefaa825a66cdd56ba1f07786df97384c5cf6b"},"schema_version":"1.0"},"canonical_sha256":"80d068b7e4e6de9ee2d5832d0b48aaeae76bcae24be3cbefd556e92c61b75dec","source":{"kind":"arxiv","id":"2304.06489","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.06489","created_at":"2026-07-05T06:00:44Z"},{"alias_kind":"arxiv_version","alias_value":"2304.06489v1","created_at":"2026-07-05T06:00:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.06489","created_at":"2026-07-05T06:00:44Z"},{"alias_kind":"pith_short_12","alias_value":"QDIGRN7E43PJ","created_at":"2026-07-05T06:00:44Z"},{"alias_kind":"pith_short_16","alias_value":"QDIGRN7E43PJ5YWV","created_at":"2026-07-05T06:00:44Z"},{"alias_kind":"pith_short_8","alias_value":"QDIGRN7E","created_at":"2026-07-05T06:00:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:QDIGRN7E43PJ5YWVQMWQWSFK5L","target":"record","payload":{"canonical_record":{"source":{"id":"2304.06489","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2023-04-07T01:33:42Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"1e1cab6c23198413807b6ef9877ca1a614a6e53be870b84d7284123b31f411b6","abstract_canon_sha256":"8f947caa63b2394e03d24fcdf2eefaa825a66cdd56ba1f07786df97384c5cf6b"},"schema_version":"1.0"},"canonical_sha256":"80d068b7e4e6de9ee2d5832d0b48aaeae76bcae24be3cbefd556e92c61b75dec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:00:44.188254Z","signature_b64":"7Roipa7w8VXVT9mmObwpXJSzpfjKIhrsGDLhJUBkITgnot49Nztgl8MGdFGN1XVJp8fSmf2u4zNk7Tl8MAQKCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"80d068b7e4e6de9ee2d5832d0b48aaeae76bcae24be3cbefd556e92c61b75dec","last_reissued_at":"2026-07-05T06:00:44.187757Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:00:44.187757Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.06489","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:00:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FW4dEQlaR+CtVTFPQ1dF06vg3NfCa1Rcr+UFqPv9M6SRdI12iOdzB1XJvFtq7gPd9LGXvqh8XQ8gcItpe56EDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:53:17.852635Z"},"content_sha256":"54048404d8cee7ceeb0d13d0db2ec0c2d3a631a36fc8c096330fd1e047be5d3b","schema_version":"1.0","event_id":"sha256:54048404d8cee7ceeb0d13d0db2ec0c2d3a631a36fc8c096330fd1e047be5d3b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:QDIGRN7E43PJ5YWVQMWQWSFK5L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"eess.SP","authors_text":"Abu Zaher Md Faridee, Avijoy Chakma, Indrajeet Ghosh, Nirmalya Roy","submitted_at":"2023-04-07T01:33:42Z","abstract_excerpt":"Machine learning-based wearable human activity recognition (WHAR) models enable the development of various smart and connected community applications such as sleep pattern monitoring, medication reminders, cognitive health assessment, sports analytics, etc. However, the widespread adoption of these WHAR models is impeded by their degraded performance in the presence of data distribution heterogeneities caused by the sensor placement at different body positions, inherent biases and heterogeneities across devices, and personal and environmental diversities. Various traditional machine learning a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.06489","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/2304.06489/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:00:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WkQ0udJjkED+Q6G9VHxU25NJ8v+E6WQya5Prd67gPS7mCMllHZphrdOzxLAeFRqUFsfb/VavRre6wz2X0PijDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:53:17.853492Z"},"content_sha256":"e4f2ba5c2e98be343e26ecbc486e1278b5804c8e31a47c7ec64467e07f7cabfb","schema_version":"1.0","event_id":"sha256:e4f2ba5c2e98be343e26ecbc486e1278b5804c8e31a47c7ec64467e07f7cabfb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QDIGRN7E43PJ5YWVQMWQWSFK5L/bundle.json","state_url":"https://pith.science/pith/QDIGRN7E43PJ5YWVQMWQWSFK5L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QDIGRN7E43PJ5YWVQMWQWSFK5L/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T05:53:17Z","links":{"resolver":"https://pith.science/pith/QDIGRN7E43PJ5YWVQMWQWSFK5L","bundle":"https://pith.science/pith/QDIGRN7E43PJ5YWVQMWQWSFK5L/bundle.json","state":"https://pith.science/pith/QDIGRN7E43PJ5YWVQMWQWSFK5L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QDIGRN7E43PJ5YWVQMWQWSFK5L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:QDIGRN7E43PJ5YWVQMWQWSFK5L","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":"8f947caa63b2394e03d24fcdf2eefaa825a66cdd56ba1f07786df97384c5cf6b","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2023-04-07T01:33:42Z","title_canon_sha256":"1e1cab6c23198413807b6ef9877ca1a614a6e53be870b84d7284123b31f411b6"},"schema_version":"1.0","source":{"id":"2304.06489","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.06489","created_at":"2026-07-05T06:00:44Z"},{"alias_kind":"arxiv_version","alias_value":"2304.06489v1","created_at":"2026-07-05T06:00:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.06489","created_at":"2026-07-05T06:00:44Z"},{"alias_kind":"pith_short_12","alias_value":"QDIGRN7E43PJ","created_at":"2026-07-05T06:00:44Z"},{"alias_kind":"pith_short_16","alias_value":"QDIGRN7E43PJ5YWV","created_at":"2026-07-05T06:00:44Z"},{"alias_kind":"pith_short_8","alias_value":"QDIGRN7E","created_at":"2026-07-05T06:00:44Z"}],"graph_snapshots":[{"event_id":"sha256:e4f2ba5c2e98be343e26ecbc486e1278b5804c8e31a47c7ec64467e07f7cabfb","target":"graph","created_at":"2026-07-05T06:00:44Z","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/2304.06489/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning-based wearable human activity recognition (WHAR) models enable the development of various smart and connected community applications such as sleep pattern monitoring, medication reminders, cognitive health assessment, sports analytics, etc. However, the widespread adoption of these WHAR models is impeded by their degraded performance in the presence of data distribution heterogeneities caused by the sensor placement at different body positions, inherent biases and heterogeneities across devices, and personal and environmental diversities. Various traditional machine learning a","authors_text":"Abu Zaher Md Faridee, Avijoy Chakma, Indrajeet Ghosh, Nirmalya Roy","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2023-04-07T01:33:42Z","title":"Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.06489","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":"sha256:54048404d8cee7ceeb0d13d0db2ec0c2d3a631a36fc8c096330fd1e047be5d3b","target":"record","created_at":"2026-07-05T06:00:44Z","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":"8f947caa63b2394e03d24fcdf2eefaa825a66cdd56ba1f07786df97384c5cf6b","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2023-04-07T01:33:42Z","title_canon_sha256":"1e1cab6c23198413807b6ef9877ca1a614a6e53be870b84d7284123b31f411b6"},"schema_version":"1.0","source":{"id":"2304.06489","kind":"arxiv","version":1}},"canonical_sha256":"80d068b7e4e6de9ee2d5832d0b48aaeae76bcae24be3cbefd556e92c61b75dec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"80d068b7e4e6de9ee2d5832d0b48aaeae76bcae24be3cbefd556e92c61b75dec","first_computed_at":"2026-07-05T06:00:44.187757Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:00:44.187757Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7Roipa7w8VXVT9mmObwpXJSzpfjKIhrsGDLhJUBkITgnot49Nztgl8MGdFGN1XVJp8fSmf2u4zNk7Tl8MAQKCg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:00:44.188254Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.06489","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:54048404d8cee7ceeb0d13d0db2ec0c2d3a631a36fc8c096330fd1e047be5d3b","sha256:e4f2ba5c2e98be343e26ecbc486e1278b5804c8e31a47c7ec64467e07f7cabfb"],"state_sha256":"b85d233d35af7678f1350af3f4a554e2a140fd7c12e0ac0861688c6b94a25374"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dfwPyaOjL4inQgNSCSqD8bd9w+7xALvj/zFG9aRWtuqLXeN7aXZUskAg4nzzgkRFeLzyt4ldY2q6A1O7sHXLDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T05:53:17.860635Z","bundle_sha256":"5adcc09a8d8db41ff27f98f5c2fe5cf4cd2e206749462cac39c0cab54aa65055"}}