{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:6K76PFGQAT62XY7A7PPOFQNVYA","short_pith_number":"pith:6K76PFGQ","canonical_record":{"source":{"id":"1806.06629","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2018-06-18T12:40:49Z","cross_cats_sorted":[],"title_canon_sha256":"8da2a4b8024d1afe107edc5f787fc3a18d83168bc180d2ae4d0a629533243ebf","abstract_canon_sha256":"55fe43947c70b8c21088ff94da5f26d8d13be920699ed0096b995b031d99d1b4"},"schema_version":"1.0"},"canonical_sha256":"f2bfe794d004fdabe3e0fbdee2c1b5c030e87a5ed5021f8beda05b6e383cb9e2","source":{"kind":"arxiv","id":"1806.06629","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.06629","created_at":"2026-05-17T23:53:42Z"},{"alias_kind":"arxiv_version","alias_value":"1806.06629v1","created_at":"2026-05-17T23:53:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.06629","created_at":"2026-05-17T23:53:42Z"},{"alias_kind":"pith_short_12","alias_value":"6K76PFGQAT62","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"6K76PFGQAT62XY7A","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"6K76PFGQ","created_at":"2026-05-18T12:32:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:6K76PFGQAT62XY7A7PPOFQNVYA","target":"record","payload":{"canonical_record":{"source":{"id":"1806.06629","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2018-06-18T12:40:49Z","cross_cats_sorted":[],"title_canon_sha256":"8da2a4b8024d1afe107edc5f787fc3a18d83168bc180d2ae4d0a629533243ebf","abstract_canon_sha256":"55fe43947c70b8c21088ff94da5f26d8d13be920699ed0096b995b031d99d1b4"},"schema_version":"1.0"},"canonical_sha256":"f2bfe794d004fdabe3e0fbdee2c1b5c030e87a5ed5021f8beda05b6e383cb9e2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:53:42.459128Z","signature_b64":"ZSnfWXVhuLmDHrXGR8eR/vUt/2mchcNisRJeup0Jiv0Af1qhhV9rIQHKpS731YamP6yjG3O3r/sD9OdZAp/PDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f2bfe794d004fdabe3e0fbdee2c1b5c030e87a5ed5021f8beda05b6e383cb9e2","last_reissued_at":"2026-05-17T23:53:42.458729Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:53:42.458729Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.06629","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":"2026-05-17T23:53:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B0OJQr9HqCfDfhu4CzjxltxWasPAjW6CA8CD5YOFH9c6XIYIWTJYsyRG+T1Gku2KGnrikuvCTTHI67uVDJXTAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T01:37:41.319517Z"},"content_sha256":"1ce110a672301a15bdd2e6f6ef639aed5c9704ef181cf3c55c95444e00b5a9ff","schema_version":"1.0","event_id":"sha256:1ce110a672301a15bdd2e6f6ef639aed5c9704ef181cf3c55c95444e00b5a9ff"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:6K76PFGQAT62XY7A7PPOFQNVYA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dense People Counting Using IR-UWB Radar with a Hybrid Feature Extraction Method","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Lei Li, Lin Zhang, Wenfeng Yin, Xiuzhu Yang","submitted_at":"2018-06-18T12:40:49Z","abstract_excerpt":"People counting is one of the hottest issues in sensing applications. The impulse radio ultra-wideband (IR-UWB) radar has been extensively applied to count people, providing a device-free solution without illumination and privacy concerns. However, performance of current solutions is limited in congested environments due to the superposition and obstruction of signals. In this letter, a hybrid feature extraction method based on curvelet transform and distance bin is proposed. 2-D radar matrix features are extracted in multiple scales and multiple angles by applying the curvelet transform. Furt"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.06629","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":"2026-05-17T23:53:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g5FuKNl5Yx9Bn/rpNOj2jkRMs0IRlovQzVXmwpENgTZKwusY5T0ocgfJGGK562O1bzC9q5wuHgOTu2O6l0ayDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T01:37:41.320180Z"},"content_sha256":"f4dbe82bb04853fcf5efc394392fd45efa4ddb6dbcfe5606ecfa8e1be44bf72b","schema_version":"1.0","event_id":"sha256:f4dbe82bb04853fcf5efc394392fd45efa4ddb6dbcfe5606ecfa8e1be44bf72b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6K76PFGQAT62XY7A7PPOFQNVYA/bundle.json","state_url":"https://pith.science/pith/6K76PFGQAT62XY7A7PPOFQNVYA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6K76PFGQAT62XY7A7PPOFQNVYA/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":"2026-05-26T01:37:41Z","links":{"resolver":"https://pith.science/pith/6K76PFGQAT62XY7A7PPOFQNVYA","bundle":"https://pith.science/pith/6K76PFGQAT62XY7A7PPOFQNVYA/bundle.json","state":"https://pith.science/pith/6K76PFGQAT62XY7A7PPOFQNVYA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6K76PFGQAT62XY7A7PPOFQNVYA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:6K76PFGQAT62XY7A7PPOFQNVYA","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":"55fe43947c70b8c21088ff94da5f26d8d13be920699ed0096b995b031d99d1b4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2018-06-18T12:40:49Z","title_canon_sha256":"8da2a4b8024d1afe107edc5f787fc3a18d83168bc180d2ae4d0a629533243ebf"},"schema_version":"1.0","source":{"id":"1806.06629","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.06629","created_at":"2026-05-17T23:53:42Z"},{"alias_kind":"arxiv_version","alias_value":"1806.06629v1","created_at":"2026-05-17T23:53:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.06629","created_at":"2026-05-17T23:53:42Z"},{"alias_kind":"pith_short_12","alias_value":"6K76PFGQAT62","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"6K76PFGQAT62XY7A","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"6K76PFGQ","created_at":"2026-05-18T12:32:08Z"}],"graph_snapshots":[{"event_id":"sha256:f4dbe82bb04853fcf5efc394392fd45efa4ddb6dbcfe5606ecfa8e1be44bf72b","target":"graph","created_at":"2026-05-17T23:53:42Z","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":"People counting is one of the hottest issues in sensing applications. The impulse radio ultra-wideband (IR-UWB) radar has been extensively applied to count people, providing a device-free solution without illumination and privacy concerns. However, performance of current solutions is limited in congested environments due to the superposition and obstruction of signals. In this letter, a hybrid feature extraction method based on curvelet transform and distance bin is proposed. 2-D radar matrix features are extracted in multiple scales and multiple angles by applying the curvelet transform. Furt","authors_text":"Lei Li, Lin Zhang, Wenfeng Yin, Xiuzhu Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2018-06-18T12:40:49Z","title":"Dense People Counting Using IR-UWB Radar with a Hybrid Feature Extraction Method"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.06629","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":"sha256:1ce110a672301a15bdd2e6f6ef639aed5c9704ef181cf3c55c95444e00b5a9ff","target":"record","created_at":"2026-05-17T23:53:42Z","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":"55fe43947c70b8c21088ff94da5f26d8d13be920699ed0096b995b031d99d1b4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2018-06-18T12:40:49Z","title_canon_sha256":"8da2a4b8024d1afe107edc5f787fc3a18d83168bc180d2ae4d0a629533243ebf"},"schema_version":"1.0","source":{"id":"1806.06629","kind":"arxiv","version":1}},"canonical_sha256":"f2bfe794d004fdabe3e0fbdee2c1b5c030e87a5ed5021f8beda05b6e383cb9e2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f2bfe794d004fdabe3e0fbdee2c1b5c030e87a5ed5021f8beda05b6e383cb9e2","first_computed_at":"2026-05-17T23:53:42.458729Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:53:42.458729Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZSnfWXVhuLmDHrXGR8eR/vUt/2mchcNisRJeup0Jiv0Af1qhhV9rIQHKpS731YamP6yjG3O3r/sD9OdZAp/PDw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:53:42.459128Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.06629","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1ce110a672301a15bdd2e6f6ef639aed5c9704ef181cf3c55c95444e00b5a9ff","sha256:f4dbe82bb04853fcf5efc394392fd45efa4ddb6dbcfe5606ecfa8e1be44bf72b"],"state_sha256":"2e839462f06b0312f4191665021f1a8f43c8da5f1db159b1778fdc4395f52451"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3Gt/M/NUkK7/zFx1Nqgzw3rVq6YnpsxSlOoh3sKhJHhggfV82dkxRarL7XYnugZrVqXLITD0BNl9Jz2h9c/UDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T01:37:41.323707Z","bundle_sha256":"1ce7a32a44d4b02859a483306453c6da3b7cc0429406a3e5b54d3e0998fecc05"}}