{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:APTHNTK2XKO52JGSD2SFIZCF32","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":"4eb8c8a62f76def5fa0fee9f87b68e6ab7e6e455ba1376951d4fefce70bfb59a","cross_cats_sorted":["cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T12:54:27Z","title_canon_sha256":"b9b9268a6d0e327525426fa9d06bb819ab55a6dc02c0935f557fa0b740725059"},"schema_version":"1.0","source":{"id":"2506.13440","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13440","created_at":"2026-07-05T11:22:20Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13440v1","created_at":"2026-07-05T11:22:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13440","created_at":"2026-07-05T11:22:20Z"},{"alias_kind":"pith_short_12","alias_value":"APTHNTK2XKO5","created_at":"2026-07-05T11:22:20Z"},{"alias_kind":"pith_short_16","alias_value":"APTHNTK2XKO52JGS","created_at":"2026-07-05T11:22:20Z"},{"alias_kind":"pith_short_8","alias_value":"APTHNTK2","created_at":"2026-07-05T11:22:20Z"}],"graph_snapshots":[{"event_id":"sha256:a24822073397b2c8b5be4663921b9a5d6c03fb06496206701303e1386753f887","target":"graph","created_at":"2026-07-05T11:22:20Z","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/2506.13440/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Leveraging the high temporal resolution and dynamic range, object detection with event cameras can enhance the performance and safety of automotive and robotics applications in real-world scenarios. However, processing sparse event data requires compute-intensive convolutional recurrent units, complicating their integration into resource-constrained edge applications. Here, we propose the Sparse Event-based Efficient Detector (SEED) for efficient event-based object detection on neuromorphic processors. We introduce sparse convolutional recurrent learning, which achieves over 92% activation spa","authors_text":"Amirreza Yousefzadeh, Federico Corradi, Guangzhi Tang, Henk Corporaal, Shenqi Wang, Sherif Eissa, YingFu Xu","cross_cats":["cs.NE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T12:54:27Z","title":"Sparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13440","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":"sha256:58c1b95e0ddb8c82ad6752e8c74ba9be8a69b804d533241fe15268cd9a75d4c8","target":"record","created_at":"2026-07-05T11:22:20Z","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":"4eb8c8a62f76def5fa0fee9f87b68e6ab7e6e455ba1376951d4fefce70bfb59a","cross_cats_sorted":["cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T12:54:27Z","title_canon_sha256":"b9b9268a6d0e327525426fa9d06bb819ab55a6dc02c0935f557fa0b740725059"},"schema_version":"1.0","source":{"id":"2506.13440","kind":"arxiv","version":1}},"canonical_sha256":"03e676cd5aba9ddd24d21ea4546445dea745eb245691764a089e52dbd0cd1a1d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"03e676cd5aba9ddd24d21ea4546445dea745eb245691764a089e52dbd0cd1a1d","first_computed_at":"2026-07-05T11:22:20.070149Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:22:20.070149Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"417t6/mtQMKHQwgolnhjMrcSXoC1uviC0br8hDS1y0ea8KViEPgyALmzrHyyhfAxu5p1WjWvbSm9oXJHYXjPBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:22:20.070569Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.13440","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:58c1b95e0ddb8c82ad6752e8c74ba9be8a69b804d533241fe15268cd9a75d4c8","sha256:a24822073397b2c8b5be4663921b9a5d6c03fb06496206701303e1386753f887"],"state_sha256":"331aeeb05e095cfbc48bc65acee01c621d93ebbc36aed13d770cac4772b9664a"}