{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:MMOB6MQF2NCFNRRKLO6U2PJPKB","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":"ec2a656df7049797d529009a5d2a0df63014be2834e6fb5fca1805c4033385f5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2020-04-06T10:39:10Z","title_canon_sha256":"2780d7b7898483092417cd89cb2c6dd8da7d1e09374d9a8b173f855fbc56c6a8"},"schema_version":"1.0","source":{"id":"2004.02545","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.02545","created_at":"2026-07-05T00:53:00Z"},{"alias_kind":"arxiv_version","alias_value":"2004.02545v1","created_at":"2026-07-05T00:53:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.02545","created_at":"2026-07-05T00:53:00Z"},{"alias_kind":"pith_short_12","alias_value":"MMOB6MQF2NCF","created_at":"2026-07-05T00:53:00Z"},{"alias_kind":"pith_short_16","alias_value":"MMOB6MQF2NCFNRRK","created_at":"2026-07-05T00:53:00Z"},{"alias_kind":"pith_short_8","alias_value":"MMOB6MQF","created_at":"2026-07-05T00:53:00Z"}],"graph_snapshots":[{"event_id":"sha256:89974dff72451b3ef58cb9f30063dd5944feae1fa9c2920799c92b2567dadd48","target":"graph","created_at":"2026-07-05T00:53:00Z","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/2004.02545/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The recognition of human actions in video streams is a challenging task in computer vision, with cardinal applications in e.g. brain-computer interface and surveillance. Deep learning has shown remarkable results recently, but can be found hard to use in practice, as its training requires large datasets and special purpose, energy-consuming hardware. In this work, we propose a scalable photonic neuro-inspired architecture based on the reservoir computing paradigm, capable of recognising video-based human actions with state-of-the-art accuracy. Our experimental optical setup comprises off-the-s","authors_text":"Damien Rontani, Daniel Brunner, Nicolas Marsal, Piotr Antonik","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2020-04-06T10:39:10Z","title":"Human action recognition with a large-scale brain-inspired photonic computer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.02545","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":"sha256:41618bfcef7188b6318fb731ef5549ebb205587f9c3f4f938ffc50657d087183","target":"record","created_at":"2026-07-05T00:53:00Z","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":"ec2a656df7049797d529009a5d2a0df63014be2834e6fb5fca1805c4033385f5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2020-04-06T10:39:10Z","title_canon_sha256":"2780d7b7898483092417cd89cb2c6dd8da7d1e09374d9a8b173f855fbc56c6a8"},"schema_version":"1.0","source":{"id":"2004.02545","kind":"arxiv","version":1}},"canonical_sha256":"631c1f3205d34456c62a5bbd4d3d2f50521bbff9911b24a25ba3a81c4190dd1c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"631c1f3205d34456c62a5bbd4d3d2f50521bbff9911b24a25ba3a81c4190dd1c","first_computed_at":"2026-07-05T00:53:00.353609Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:53:00.353609Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5XYQDPyhbOhFjfHS18TZfsri/5TFUfoEqbauoulpIW1ZZGSG6TQpLUgcGDXM02JtBxoTEGTeW/RARpwvVDsbAw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:53:00.353979Z","signed_message":"canonical_sha256_bytes"},"source_id":"2004.02545","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:41618bfcef7188b6318fb731ef5549ebb205587f9c3f4f938ffc50657d087183","sha256:89974dff72451b3ef58cb9f30063dd5944feae1fa9c2920799c92b2567dadd48"],"state_sha256":"caadb26a255051af32a33799b98b097b7ad5193e590adf13a5f83e7bb02bfa9b"}