{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:UZ5TU6CED2LFCHET2OM6KLFPFR","short_pith_number":"pith:UZ5TU6CE","canonical_record":{"source":{"id":"1901.02858","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-09T18:25:14Z","cross_cats_sorted":[],"title_canon_sha256":"b0d169c72b282282bccb18a6e5d6f83aa2b91ffdfb6107236a6bafd00e2cc169","abstract_canon_sha256":"f3b04202376ad5ee2ca975bc0cb260a57071ac18af97b5af378061d2bf6155ed"},"schema_version":"1.0"},"canonical_sha256":"a67b3a78441e96511c93d399e52caf2c5b0cacd933a8ea2ef48eebaac918ea6b","source":{"kind":"arxiv","id":"1901.02858","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.02858","created_at":"2026-05-17T23:56:39Z"},{"alias_kind":"arxiv_version","alias_value":"1901.02858v1","created_at":"2026-05-17T23:56:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.02858","created_at":"2026-05-17T23:56:39Z"},{"alias_kind":"pith_short_12","alias_value":"UZ5TU6CED2LF","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"UZ5TU6CED2LFCHET","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"UZ5TU6CE","created_at":"2026-05-18T12:33:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:UZ5TU6CED2LFCHET2OM6KLFPFR","target":"record","payload":{"canonical_record":{"source":{"id":"1901.02858","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-09T18:25:14Z","cross_cats_sorted":[],"title_canon_sha256":"b0d169c72b282282bccb18a6e5d6f83aa2b91ffdfb6107236a6bafd00e2cc169","abstract_canon_sha256":"f3b04202376ad5ee2ca975bc0cb260a57071ac18af97b5af378061d2bf6155ed"},"schema_version":"1.0"},"canonical_sha256":"a67b3a78441e96511c93d399e52caf2c5b0cacd933a8ea2ef48eebaac918ea6b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:56:39.342946Z","signature_b64":"VD1N7RFCFgvPz/GmvFmdPMIHn/YfHRNbxEvlsw4o+itap9HBPXIbSv+tOI9Ajj2yv0nLAVjEJyvHV1N7pmglAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a67b3a78441e96511c93d399e52caf2c5b0cacd933a8ea2ef48eebaac918ea6b","last_reissued_at":"2026-05-17T23:56:39.342370Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:56:39.342370Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1901.02858","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":"2026-05-17T23:56:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hiO0nhU85xWs0/pcWY1usgL2+JxY87d726cMXNk0My2Q2kJIEqGJRkLjayNaGX4j/9cx0DZAhRnAAE6SQRN5Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T06:50:56.139558Z"},"content_sha256":"a9e957226fdcc865f0bd821ff77f7aa412a12e7550611cb3a59406d0ad660d22","schema_version":"1.0","event_id":"sha256:a9e957226fdcc865f0bd821ff77f7aa412a12e7550611cb3a59406d0ad660d22"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:UZ5TU6CED2LFCHET2OM6KLFPFR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ahmet Kondoz, Jamie Roche, Mirco Moencks, Varuna De Silva","submitted_at":"2019-01-09T18:25:14Z","abstract_excerpt":"Human Activity Recognition (HAR) is a key building block of many emerging applications such as intelligent mobility, sports analytics, ambient-assisted living and human-robot interaction. With robust HAR, systems will become more human-aware, leading towards much safer and empathetic autonomous systems. While human pose detection has made significant progress with the dawn of deep convolutional neural networks (CNNs), the state-of-the-art research has almost exclusively focused on a single sensing modality, especially video. However, in safety critical applications it is imperative to utilize "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.02858","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:56:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IaFWFiRJFuc8k+wHUVGbliaNsZ1ll7QaQ25P1Md03ZWpJNZRX7mK3JDFzl24Hs0xd8HzCWewldfAaSt1frxzBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T06:50:56.139995Z"},"content_sha256":"7680182b7e902813c7d328989bd462e58091a0f5d5311fac71fd465d70746ccd","schema_version":"1.0","event_id":"sha256:7680182b7e902813c7d328989bd462e58091a0f5d5311fac71fd465d70746ccd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UZ5TU6CED2LFCHET2OM6KLFPFR/bundle.json","state_url":"https://pith.science/pith/UZ5TU6CED2LFCHET2OM6KLFPFR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UZ5TU6CED2LFCHET2OM6KLFPFR/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":"2026-05-27T06:50:56Z","links":{"resolver":"https://pith.science/pith/UZ5TU6CED2LFCHET2OM6KLFPFR","bundle":"https://pith.science/pith/UZ5TU6CED2LFCHET2OM6KLFPFR/bundle.json","state":"https://pith.science/pith/UZ5TU6CED2LFCHET2OM6KLFPFR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UZ5TU6CED2LFCHET2OM6KLFPFR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:UZ5TU6CED2LFCHET2OM6KLFPFR","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":"f3b04202376ad5ee2ca975bc0cb260a57071ac18af97b5af378061d2bf6155ed","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-09T18:25:14Z","title_canon_sha256":"b0d169c72b282282bccb18a6e5d6f83aa2b91ffdfb6107236a6bafd00e2cc169"},"schema_version":"1.0","source":{"id":"1901.02858","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.02858","created_at":"2026-05-17T23:56:39Z"},{"alias_kind":"arxiv_version","alias_value":"1901.02858v1","created_at":"2026-05-17T23:56:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.02858","created_at":"2026-05-17T23:56:39Z"},{"alias_kind":"pith_short_12","alias_value":"UZ5TU6CED2LF","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"UZ5TU6CED2LFCHET","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"UZ5TU6CE","created_at":"2026-05-18T12:33:30Z"}],"graph_snapshots":[{"event_id":"sha256:7680182b7e902813c7d328989bd462e58091a0f5d5311fac71fd465d70746ccd","target":"graph","created_at":"2026-05-17T23:56:39Z","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"},"paper":{"abstract_excerpt":"Human Activity Recognition (HAR) is a key building block of many emerging applications such as intelligent mobility, sports analytics, ambient-assisted living and human-robot interaction. With robust HAR, systems will become more human-aware, leading towards much safer and empathetic autonomous systems. While human pose detection has made significant progress with the dawn of deep convolutional neural networks (CNNs), the state-of-the-art research has almost exclusively focused on a single sensing modality, especially video. However, in safety critical applications it is imperative to utilize ","authors_text":"Ahmet Kondoz, Jamie Roche, Mirco Moencks, Varuna De Silva","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-09T18:25:14Z","title":"Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.02858","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:a9e957226fdcc865f0bd821ff77f7aa412a12e7550611cb3a59406d0ad660d22","target":"record","created_at":"2026-05-17T23:56:39Z","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":"f3b04202376ad5ee2ca975bc0cb260a57071ac18af97b5af378061d2bf6155ed","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-09T18:25:14Z","title_canon_sha256":"b0d169c72b282282bccb18a6e5d6f83aa2b91ffdfb6107236a6bafd00e2cc169"},"schema_version":"1.0","source":{"id":"1901.02858","kind":"arxiv","version":1}},"canonical_sha256":"a67b3a78441e96511c93d399e52caf2c5b0cacd933a8ea2ef48eebaac918ea6b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a67b3a78441e96511c93d399e52caf2c5b0cacd933a8ea2ef48eebaac918ea6b","first_computed_at":"2026-05-17T23:56:39.342370Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:56:39.342370Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VD1N7RFCFgvPz/GmvFmdPMIHn/YfHRNbxEvlsw4o+itap9HBPXIbSv+tOI9Ajj2yv0nLAVjEJyvHV1N7pmglAA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:56:39.342946Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.02858","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a9e957226fdcc865f0bd821ff77f7aa412a12e7550611cb3a59406d0ad660d22","sha256:7680182b7e902813c7d328989bd462e58091a0f5d5311fac71fd465d70746ccd"],"state_sha256":"68fdba52e43cb5717a4b99193f7aa4342d3e60b77e2a40ea271207fbbed57507"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FWV46VS3PhGkdIkxPEMefG0GWrscAqgAOnC1UAIKZ/TRYXK6cSLnSYecqLHgKoSctThi0gKp+uOSpWMwR1eqAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T06:50:56.143403Z","bundle_sha256":"63814c6658e1b18f6d1f4f289e24cbc2ee2e4601905333797da133422c614c53"}}