{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:FZUWR7IDB7BSZ3X3QDSH2IJOL3","short_pith_number":"pith:FZUWR7ID","schema_version":"1.0","canonical_sha256":"2e6968fd030fc32ceefb80e47d212e5eccc3d5aacdc71ee3ccc49b1ffb6efd9b","source":{"kind":"arxiv","id":"2311.03422","version":1},"attestation_state":"computed","paper":{"title":"Efficient and Low-Footprint Object Classification using Spatial Contrast","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.NE","eess.IV"],"primary_cat":"cs.CV","authors_text":"Daniel C. Stumpp, Matthew Belding, Rajkumar Kubendran","submitted_at":"2023-11-06T15:24:29Z","abstract_excerpt":"Event-based vision sensors traditionally compute temporal contrast that offers potential for low-power and low-latency sensing and computing. In this research, an alternative paradigm for event-based sensors using localized spatial contrast (SC) under two different thresholding techniques, relative and absolute, is investigated. Given the slow maturity of spatial contrast in comparison to temporal-based sensors, a theoretical simulated output of such a hardware sensor is explored. Furthermore, we evaluate traffic sign classification using the German Traffic Sign dataset (GTSRB) with well-known"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2311.03422","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-06T15:24:29Z","cross_cats_sorted":["cs.NE","eess.IV"],"title_canon_sha256":"71fe6a1a59cc35fa31769d3147c265506d4ce962f95c14d91c36d3a7181e3691","abstract_canon_sha256":"ee49cf6d0e6334a594f58e7ee72fc0a579fa70860d0dd8018116b94cb4576ed6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:09:58.159259Z","signature_b64":"kPEybhxte3S0XQRWAHRdGuvE1BwpHb7v84os3ne0FB1qHHZnHY35sZwAmDb06KaVPiR3QTeiy+WJBOMRRensCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2e6968fd030fc32ceefb80e47d212e5eccc3d5aacdc71ee3ccc49b1ffb6efd9b","last_reissued_at":"2026-07-05T07:09:58.158630Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:09:58.158630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Efficient and Low-Footprint Object Classification using Spatial Contrast","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.NE","eess.IV"],"primary_cat":"cs.CV","authors_text":"Daniel C. Stumpp, Matthew Belding, Rajkumar Kubendran","submitted_at":"2023-11-06T15:24:29Z","abstract_excerpt":"Event-based vision sensors traditionally compute temporal contrast that offers potential for low-power and low-latency sensing and computing. In this research, an alternative paradigm for event-based sensors using localized spatial contrast (SC) under two different thresholding techniques, relative and absolute, is investigated. Given the slow maturity of spatial contrast in comparison to temporal-based sensors, a theoretical simulated output of such a hardware sensor is explored. Furthermore, we evaluate traffic sign classification using the German Traffic Sign dataset (GTSRB) with well-known"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.03422","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/2311.03422/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2311.03422","created_at":"2026-07-05T07:09:58.158694+00:00"},{"alias_kind":"arxiv_version","alias_value":"2311.03422v1","created_at":"2026-07-05T07:09:58.158694+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.03422","created_at":"2026-07-05T07:09:58.158694+00:00"},{"alias_kind":"pith_short_12","alias_value":"FZUWR7IDB7BS","created_at":"2026-07-05T07:09:58.158694+00:00"},{"alias_kind":"pith_short_16","alias_value":"FZUWR7IDB7BSZ3X3","created_at":"2026-07-05T07:09:58.158694+00:00"},{"alias_kind":"pith_short_8","alias_value":"FZUWR7ID","created_at":"2026-07-05T07:09:58.158694+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/FZUWR7IDB7BSZ3X3QDSH2IJOL3","json":"https://pith.science/pith/FZUWR7IDB7BSZ3X3QDSH2IJOL3.json","graph_json":"https://pith.science/api/pith-number/FZUWR7IDB7BSZ3X3QDSH2IJOL3/graph.json","events_json":"https://pith.science/api/pith-number/FZUWR7IDB7BSZ3X3QDSH2IJOL3/events.json","paper":"https://pith.science/paper/FZUWR7ID"},"agent_actions":{"view_html":"https://pith.science/pith/FZUWR7IDB7BSZ3X3QDSH2IJOL3","download_json":"https://pith.science/pith/FZUWR7IDB7BSZ3X3QDSH2IJOL3.json","view_paper":"https://pith.science/paper/FZUWR7ID","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2311.03422&json=true","fetch_graph":"https://pith.science/api/pith-number/FZUWR7IDB7BSZ3X3QDSH2IJOL3/graph.json","fetch_events":"https://pith.science/api/pith-number/FZUWR7IDB7BSZ3X3QDSH2IJOL3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FZUWR7IDB7BSZ3X3QDSH2IJOL3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FZUWR7IDB7BSZ3X3QDSH2IJOL3/action/storage_attestation","attest_author":"https://pith.science/pith/FZUWR7IDB7BSZ3X3QDSH2IJOL3/action/author_attestation","sign_citation":"https://pith.science/pith/FZUWR7IDB7BSZ3X3QDSH2IJOL3/action/citation_signature","submit_replication":"https://pith.science/pith/FZUWR7IDB7BSZ3X3QDSH2IJOL3/action/replication_record"}},"created_at":"2026-07-05T07:09:58.158694+00:00","updated_at":"2026-07-05T07:09:58.158694+00:00"}