{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:EIOBMFUDZU2O5D2NVTST26Y3K3","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":"987036d863436c2931ade3861e194e6ae0932909feb9f28c6761764480ad0c79","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-10-13T09:57:46Z","title_canon_sha256":"c2a429de3e7ac9795d2658f7df317d043c4e3992c3917787462d4174d15c5ff3"},"schema_version":"1.0","source":{"id":"1510.03608","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1510.03608","created_at":"2026-05-18T00:45:35Z"},{"alias_kind":"arxiv_version","alias_value":"1510.03608v5","created_at":"2026-05-18T00:45:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1510.03608","created_at":"2026-05-18T00:45:35Z"},{"alias_kind":"pith_short_12","alias_value":"EIOBMFUDZU2O","created_at":"2026-05-18T12:29:19Z"},{"alias_kind":"pith_short_16","alias_value":"EIOBMFUDZU2O5D2N","created_at":"2026-05-18T12:29:19Z"},{"alias_kind":"pith_short_8","alias_value":"EIOBMFUD","created_at":"2026-05-18T12:29:19Z"}],"graph_snapshots":[{"event_id":"sha256:672c307f89849ab377f5a062a022e00eb58fbcd3648cef31720cf644f9017ed9","target":"graph","created_at":"2026-05-18T00:45:35Z","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":"Pedestrian detection is a popular research topic due to its paramount importance for a number of applications, especially in the fields of automotive, surveillance and robotics. Despite the significant improvements, pedestrian detection is still an open challenge that calls for more and more accurate algorithms. In the last few years, deep learning and in particular convolutional neural networks emerged as the state of the art in terms of accuracy for a number of computer vision tasks such as image classification, object detection and segmentation, often outperforming the previous gold standar","authors_text":"Denis Tom\\`e, Federico Monti, Luca Baroffio, Luca Bondi, Marco Tagliasacchi, Stefano Tubaro","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-10-13T09:57:46Z","title":"Deep convolutional neural networks for pedestrian detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1510.03608","kind":"arxiv","version":5},"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:a06c249a5f8794dda1213069c0996d3b5839cae378d71c570a129b1471144716","target":"record","created_at":"2026-05-18T00:45:35Z","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":"987036d863436c2931ade3861e194e6ae0932909feb9f28c6761764480ad0c79","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-10-13T09:57:46Z","title_canon_sha256":"c2a429de3e7ac9795d2658f7df317d043c4e3992c3917787462d4174d15c5ff3"},"schema_version":"1.0","source":{"id":"1510.03608","kind":"arxiv","version":5}},"canonical_sha256":"221c161683cd34ee8f4dace53d7b1b56d1072fd7984169bd5e39ab254b20e5a0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"221c161683cd34ee8f4dace53d7b1b56d1072fd7984169bd5e39ab254b20e5a0","first_computed_at":"2026-05-18T00:45:35.210340Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:45:35.210340Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8TTCO4fQSnt/0SmyDNCJOByPK2pHOPci6JxitYb5gWZRg56Zvnb/NaQEhOqbMWk9b2kzyZhocQXXbFlsWS0kCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:45:35.210818Z","signed_message":"canonical_sha256_bytes"},"source_id":"1510.03608","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a06c249a5f8794dda1213069c0996d3b5839cae378d71c570a129b1471144716","sha256:672c307f89849ab377f5a062a022e00eb58fbcd3648cef31720cf644f9017ed9"],"state_sha256":"02bed470155310b6464bf787124c768cde33d43733771ff4e49a4549810d48fa"}