{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:DKE66ZFPXZEXYVMCTQSHW22GBR","short_pith_number":"pith:DKE66ZFP","canonical_record":{"source":{"id":"1610.09816","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-10-31T08:06:50Z","cross_cats_sorted":[],"title_canon_sha256":"131c573bd38397be6bd33aa1eb046d6e2eaa77742512ae39f437147bcb509ee2","abstract_canon_sha256":"0b603d9682b5d57feb1c121f35debb6b6769ecef63511dbd0253b85be57ed5e5"},"schema_version":"1.0"},"canonical_sha256":"1a89ef64afbe497c55829c247b6b460c5d981638de35d6f2baa8522836e1b8dd","source":{"kind":"arxiv","id":"1610.09816","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.09816","created_at":"2026-05-18T00:01:47Z"},{"alias_kind":"arxiv_version","alias_value":"1610.09816v1","created_at":"2026-05-18T00:01:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.09816","created_at":"2026-05-18T00:01:47Z"},{"alias_kind":"pith_short_12","alias_value":"DKE66ZFPXZEX","created_at":"2026-05-18T12:30:12Z"},{"alias_kind":"pith_short_16","alias_value":"DKE66ZFPXZEXYVMC","created_at":"2026-05-18T12:30:12Z"},{"alias_kind":"pith_short_8","alias_value":"DKE66ZFP","created_at":"2026-05-18T12:30:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:DKE66ZFPXZEXYVMCTQSHW22GBR","target":"record","payload":{"canonical_record":{"source":{"id":"1610.09816","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-10-31T08:06:50Z","cross_cats_sorted":[],"title_canon_sha256":"131c573bd38397be6bd33aa1eb046d6e2eaa77742512ae39f437147bcb509ee2","abstract_canon_sha256":"0b603d9682b5d57feb1c121f35debb6b6769ecef63511dbd0253b85be57ed5e5"},"schema_version":"1.0"},"canonical_sha256":"1a89ef64afbe497c55829c247b6b460c5d981638de35d6f2baa8522836e1b8dd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:01:47.527763Z","signature_b64":"nOjEea8pv8iIlGyjmnunLYzADru/EbiTLIlU79t8ig2s1f3ydiDVni6ZmEK0JN7phMArSm9uV3jGWZaf4I+1AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1a89ef64afbe497c55829c247b6b460c5d981638de35d6f2baa8522836e1b8dd","last_reissued_at":"2026-05-18T00:01:47.527079Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:01:47.527079Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1610.09816","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":"2026-05-18T00:01:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"46vf6ZUcOZgvcInfRxxOH9aHxUJKhJ0NNbzUZfkxPzz1m5BLWTZ3QXN3FMfbkG2RBBBnkbuG3Pt6yMuytkOHDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T08:40:26.102820Z"},"content_sha256":"2e605a1ceeb433957a35d098908cd86305271090c56e2b595451a93d13601977","schema_version":"1.0","event_id":"sha256:2e605a1ceeb433957a35d098908cd86305271090c56e2b595451a93d13601977"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:DKE66ZFPXZEXYVMCTQSHW22GBR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust Gait Recognition by Integrating Inertial and RGBD Sensors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Lihao Ni, Qian Wang, Qingquan Li, Qin Zou, Song Wang","submitted_at":"2016-10-31T08:06:50Z","abstract_excerpt":"Gait has been considered as a promising and unique biometric for person identification. Traditionally, gait data are collected using either color sensors, such as a CCD camera, depth sensors, such as a Microsoft Kinect, or inertial sensors, such as an accelerometer. However, a single type of sensors may only capture part of the dynamic gait features and make the gait recognition sensitive to complex covariate conditions, leading to fragile gait-based person identification systems. In this paper, we propose to combine all three types of sensors for gait data collection and gait recognition, whi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.09816","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":"2026-05-18T00:01:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9jTxnvoe2rPGMNI2bF7d4fFCqevkQdDO+3Nn07+3xGrqeQ77zPCGl/NbWFRP98J5UpOVrEKaLaAFJFZRPCStCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T08:40:26.103533Z"},"content_sha256":"61af57229963c15f911fb5d0619d2ebdecf692a42a68d1359cde896d7f2b7506","schema_version":"1.0","event_id":"sha256:61af57229963c15f911fb5d0619d2ebdecf692a42a68d1359cde896d7f2b7506"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DKE66ZFPXZEXYVMCTQSHW22GBR/bundle.json","state_url":"https://pith.science/pith/DKE66ZFPXZEXYVMCTQSHW22GBR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DKE66ZFPXZEXYVMCTQSHW22GBR/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":"2026-06-07T08:40:26Z","links":{"resolver":"https://pith.science/pith/DKE66ZFPXZEXYVMCTQSHW22GBR","bundle":"https://pith.science/pith/DKE66ZFPXZEXYVMCTQSHW22GBR/bundle.json","state":"https://pith.science/pith/DKE66ZFPXZEXYVMCTQSHW22GBR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DKE66ZFPXZEXYVMCTQSHW22GBR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:DKE66ZFPXZEXYVMCTQSHW22GBR","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":"0b603d9682b5d57feb1c121f35debb6b6769ecef63511dbd0253b85be57ed5e5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-10-31T08:06:50Z","title_canon_sha256":"131c573bd38397be6bd33aa1eb046d6e2eaa77742512ae39f437147bcb509ee2"},"schema_version":"1.0","source":{"id":"1610.09816","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.09816","created_at":"2026-05-18T00:01:47Z"},{"alias_kind":"arxiv_version","alias_value":"1610.09816v1","created_at":"2026-05-18T00:01:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.09816","created_at":"2026-05-18T00:01:47Z"},{"alias_kind":"pith_short_12","alias_value":"DKE66ZFPXZEX","created_at":"2026-05-18T12:30:12Z"},{"alias_kind":"pith_short_16","alias_value":"DKE66ZFPXZEXYVMC","created_at":"2026-05-18T12:30:12Z"},{"alias_kind":"pith_short_8","alias_value":"DKE66ZFP","created_at":"2026-05-18T12:30:12Z"}],"graph_snapshots":[{"event_id":"sha256:61af57229963c15f911fb5d0619d2ebdecf692a42a68d1359cde896d7f2b7506","target":"graph","created_at":"2026-05-18T00:01:47Z","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":"Gait has been considered as a promising and unique biometric for person identification. Traditionally, gait data are collected using either color sensors, such as a CCD camera, depth sensors, such as a Microsoft Kinect, or inertial sensors, such as an accelerometer. However, a single type of sensors may only capture part of the dynamic gait features and make the gait recognition sensitive to complex covariate conditions, leading to fragile gait-based person identification systems. In this paper, we propose to combine all three types of sensors for gait data collection and gait recognition, whi","authors_text":"Lihao Ni, Qian Wang, Qingquan Li, Qin Zou, Song Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-10-31T08:06:50Z","title":"Robust Gait Recognition by Integrating Inertial and RGBD Sensors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.09816","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":"sha256:2e605a1ceeb433957a35d098908cd86305271090c56e2b595451a93d13601977","target":"record","created_at":"2026-05-18T00:01:47Z","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":"0b603d9682b5d57feb1c121f35debb6b6769ecef63511dbd0253b85be57ed5e5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-10-31T08:06:50Z","title_canon_sha256":"131c573bd38397be6bd33aa1eb046d6e2eaa77742512ae39f437147bcb509ee2"},"schema_version":"1.0","source":{"id":"1610.09816","kind":"arxiv","version":1}},"canonical_sha256":"1a89ef64afbe497c55829c247b6b460c5d981638de35d6f2baa8522836e1b8dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1a89ef64afbe497c55829c247b6b460c5d981638de35d6f2baa8522836e1b8dd","first_computed_at":"2026-05-18T00:01:47.527079Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:01:47.527079Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nOjEea8pv8iIlGyjmnunLYzADru/EbiTLIlU79t8ig2s1f3ydiDVni6ZmEK0JN7phMArSm9uV3jGWZaf4I+1AQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:01:47.527763Z","signed_message":"canonical_sha256_bytes"},"source_id":"1610.09816","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2e605a1ceeb433957a35d098908cd86305271090c56e2b595451a93d13601977","sha256:61af57229963c15f911fb5d0619d2ebdecf692a42a68d1359cde896d7f2b7506"],"state_sha256":"1cd607b6f7cc1c5ceecdfedcbc5db56db239a2cedea1f8d128c06f96e47022fb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AU/j1Twcdjdo+2tQwyPmnBeHoWl8ye/950SYmgTo06dTW8K/kmjTmWV80JgdzeWMjHZbxLKgrNOLbyUE0LK1CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T08:40:26.106906Z","bundle_sha256":"9352fb08e65d4ee9630ca74390899329bee2c07ca5a111e4791517711b35ad99"}}