{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:KG6ABHHT2GZGZODZQRMO4HVQTK","short_pith_number":"pith:KG6ABHHT","canonical_record":{"source":{"id":"2508.03397","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-05T12:45:29Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"d61b27fcd1de486526494d29d6d33d8cfa51952515e2363e5e7899c6f0d5e491","abstract_canon_sha256":"ca523fc2e2fac98d5a722c30c1358c63c187bcbdee2b2461ec7d1deba7ea9fb6"},"schema_version":"1.0"},"canonical_sha256":"51bc009cf3d1b26cb8798458ee1eb09a91bfa93051be8aff81503d3884b35fdc","source":{"kind":"arxiv","id":"2508.03397","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.03397","created_at":"2026-07-05T11:48:55Z"},{"alias_kind":"arxiv_version","alias_value":"2508.03397v1","created_at":"2026-07-05T11:48:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.03397","created_at":"2026-07-05T11:48:55Z"},{"alias_kind":"pith_short_12","alias_value":"KG6ABHHT2GZG","created_at":"2026-07-05T11:48:55Z"},{"alias_kind":"pith_short_16","alias_value":"KG6ABHHT2GZGZODZ","created_at":"2026-07-05T11:48:55Z"},{"alias_kind":"pith_short_8","alias_value":"KG6ABHHT","created_at":"2026-07-05T11:48:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:KG6ABHHT2GZGZODZQRMO4HVQTK","target":"record","payload":{"canonical_record":{"source":{"id":"2508.03397","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-05T12:45:29Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"d61b27fcd1de486526494d29d6d33d8cfa51952515e2363e5e7899c6f0d5e491","abstract_canon_sha256":"ca523fc2e2fac98d5a722c30c1358c63c187bcbdee2b2461ec7d1deba7ea9fb6"},"schema_version":"1.0"},"canonical_sha256":"51bc009cf3d1b26cb8798458ee1eb09a91bfa93051be8aff81503d3884b35fdc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:48:55.790753Z","signature_b64":"apVxcYFKuvwTrPtMgdd7gBtT8gQe2SsNIuyeHHhksFQhZwHMvsopvhLeJ3mwriYAnqwIwe6sCo3ghv973QbOAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"51bc009cf3d1b26cb8798458ee1eb09a91bfa93051be8aff81503d3884b35fdc","last_reissued_at":"2026-07-05T11:48:55.790284Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:48:55.790284Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.03397","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":"2026-07-05T11:48:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J23nqc53/Lw+GnXkKCB6XGcMyol3178vbW9bnKMcbx+eN4UP2+o5OiZlyxyddzJ8n26Zh1X5jJAV2CULAnqJCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:05:46.229986Z"},"content_sha256":"fc7aef08453157fe33cee17cc82e0c74e395377bd3fb8e4441d0255129e42380","schema_version":"1.0","event_id":"sha256:fc7aef08453157fe33cee17cc82e0c74e395377bd3fb8e4441d0255129e42380"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:KG6ABHHT2GZGZODZQRMO4HVQTK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DepthGait: Multi-Scale Cross-Level Feature Fusion of RGB-Derived Depth and Silhouette Sequences for Robust Gait Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MM"],"primary_cat":"cs.CV","authors_text":"Baoquan Zhao, Chenlei Lv, Fan Zhou, Guanghui Yue, Juepeng Zheng, Ruomei Wang, Wei Zhou, Xinzhu Li, Xudong Mao, Yikun Chen","submitted_at":"2025-08-05T12:45:29Z","abstract_excerpt":"Robust gait recognition requires highly discriminative representations, which are closely tied to input modalities. While binary silhouettes and skeletons have dominated recent literature, these 2D representations fall short of capturing sufficient cues that can be exploited to handle viewpoint variations, and capture finer and meaningful details of gait. In this paper, we introduce a novel framework, termed DepthGait, that incorporates RGB-derived depth maps and silhouettes for enhanced gait recognition. Specifically, apart from the 2D silhouette representation of the human body, the proposed"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.03397","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/2508.03397/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":"2026-07-05T11:48:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xNefTfawOGqerNa13y4E/eY5AQYXFzU2+KmTzkwwHyOtiqYJdTc1Owe5MsLSm4+fCbmOs6jrqDXwFjVH3+PcDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:05:46.231051Z"},"content_sha256":"38778e754735efb6c7dfe78bf5cf5d0a153d544d3d787df6c0ad8e8b0b959f0b","schema_version":"1.0","event_id":"sha256:38778e754735efb6c7dfe78bf5cf5d0a153d544d3d787df6c0ad8e8b0b959f0b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KG6ABHHT2GZGZODZQRMO4HVQTK/bundle.json","state_url":"https://pith.science/pith/KG6ABHHT2GZGZODZQRMO4HVQTK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KG6ABHHT2GZGZODZQRMO4HVQTK/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":"2026-08-05T03:05:46Z","links":{"resolver":"https://pith.science/pith/KG6ABHHT2GZGZODZQRMO4HVQTK","bundle":"https://pith.science/pith/KG6ABHHT2GZGZODZQRMO4HVQTK/bundle.json","state":"https://pith.science/pith/KG6ABHHT2GZGZODZQRMO4HVQTK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KG6ABHHT2GZGZODZQRMO4HVQTK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KG6ABHHT2GZGZODZQRMO4HVQTK","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":"ca523fc2e2fac98d5a722c30c1358c63c187bcbdee2b2461ec7d1deba7ea9fb6","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-05T12:45:29Z","title_canon_sha256":"d61b27fcd1de486526494d29d6d33d8cfa51952515e2363e5e7899c6f0d5e491"},"schema_version":"1.0","source":{"id":"2508.03397","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.03397","created_at":"2026-07-05T11:48:55Z"},{"alias_kind":"arxiv_version","alias_value":"2508.03397v1","created_at":"2026-07-05T11:48:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.03397","created_at":"2026-07-05T11:48:55Z"},{"alias_kind":"pith_short_12","alias_value":"KG6ABHHT2GZG","created_at":"2026-07-05T11:48:55Z"},{"alias_kind":"pith_short_16","alias_value":"KG6ABHHT2GZGZODZ","created_at":"2026-07-05T11:48:55Z"},{"alias_kind":"pith_short_8","alias_value":"KG6ABHHT","created_at":"2026-07-05T11:48:55Z"}],"graph_snapshots":[{"event_id":"sha256:38778e754735efb6c7dfe78bf5cf5d0a153d544d3d787df6c0ad8e8b0b959f0b","target":"graph","created_at":"2026-07-05T11:48:55Z","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/2508.03397/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Robust gait recognition requires highly discriminative representations, which are closely tied to input modalities. While binary silhouettes and skeletons have dominated recent literature, these 2D representations fall short of capturing sufficient cues that can be exploited to handle viewpoint variations, and capture finer and meaningful details of gait. In this paper, we introduce a novel framework, termed DepthGait, that incorporates RGB-derived depth maps and silhouettes for enhanced gait recognition. Specifically, apart from the 2D silhouette representation of the human body, the proposed","authors_text":"Baoquan Zhao, Chenlei Lv, Fan Zhou, Guanghui Yue, Juepeng Zheng, Ruomei Wang, Wei Zhou, Xinzhu Li, Xudong Mao, Yikun Chen","cross_cats":["cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-05T12:45:29Z","title":"DepthGait: Multi-Scale Cross-Level Feature Fusion of RGB-Derived Depth and Silhouette Sequences for Robust Gait Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.03397","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:fc7aef08453157fe33cee17cc82e0c74e395377bd3fb8e4441d0255129e42380","target":"record","created_at":"2026-07-05T11:48:55Z","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":"ca523fc2e2fac98d5a722c30c1358c63c187bcbdee2b2461ec7d1deba7ea9fb6","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-05T12:45:29Z","title_canon_sha256":"d61b27fcd1de486526494d29d6d33d8cfa51952515e2363e5e7899c6f0d5e491"},"schema_version":"1.0","source":{"id":"2508.03397","kind":"arxiv","version":1}},"canonical_sha256":"51bc009cf3d1b26cb8798458ee1eb09a91bfa93051be8aff81503d3884b35fdc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"51bc009cf3d1b26cb8798458ee1eb09a91bfa93051be8aff81503d3884b35fdc","first_computed_at":"2026-07-05T11:48:55.790284Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:48:55.790284Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"apVxcYFKuvwTrPtMgdd7gBtT8gQe2SsNIuyeHHhksFQhZwHMvsopvhLeJ3mwriYAnqwIwe6sCo3ghv973QbOAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:48:55.790753Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.03397","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fc7aef08453157fe33cee17cc82e0c74e395377bd3fb8e4441d0255129e42380","sha256:38778e754735efb6c7dfe78bf5cf5d0a153d544d3d787df6c0ad8e8b0b959f0b"],"state_sha256":"60d82dc6871b244626f3bd9acf6c348b54bed04efb52832ff22697e3a056cb50"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EIhst8BKjIHfgA7W1Zhfuun+lqtx7WLwao5Fh/ril6Mzd/3LKVAB21rFO0Ct1Pxtta3CjIYqrs1e9ewDbWxHCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T03:05:46.257691Z","bundle_sha256":"e321c4f1967bfd834eca22b718df50c3ec1b1945b265e2c779404e978b51ecbe"}}