{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:J2WDG5VDFV36XXC5IOCPDQBV4B","short_pith_number":"pith:J2WDG5VD","canonical_record":{"source":{"id":"2203.01764","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"quant-ph","submitted_at":"2022-03-03T15:15:29Z","cross_cats_sorted":["cs.CV","eess.IV"],"title_canon_sha256":"46fc432f418285081222f5b1c6d8a3bbbbeed2bb0380db7c0a065c242c7f2272","abstract_canon_sha256":"527adb5b9dc17f8c0baaf8e3e238742ce9cee00dc41fe2cb3b423e604c57a09b"},"schema_version":"1.0"},"canonical_sha256":"4eac3376a32d77ebdc5d4384f1c035e04c27add4bc295b12d5126f3b065e9a1d","source":{"kind":"arxiv","id":"2203.01764","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.01764","created_at":"2026-07-05T04:02:10Z"},{"alias_kind":"arxiv_version","alias_value":"2203.01764v1","created_at":"2026-07-05T04:02:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.01764","created_at":"2026-07-05T04:02:10Z"},{"alias_kind":"pith_short_12","alias_value":"J2WDG5VDFV36","created_at":"2026-07-05T04:02:10Z"},{"alias_kind":"pith_short_16","alias_value":"J2WDG5VDFV36XXC5","created_at":"2026-07-05T04:02:10Z"},{"alias_kind":"pith_short_8","alias_value":"J2WDG5VD","created_at":"2026-07-05T04:02:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:J2WDG5VDFV36XXC5IOCPDQBV4B","target":"record","payload":{"canonical_record":{"source":{"id":"2203.01764","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"quant-ph","submitted_at":"2022-03-03T15:15:29Z","cross_cats_sorted":["cs.CV","eess.IV"],"title_canon_sha256":"46fc432f418285081222f5b1c6d8a3bbbbeed2bb0380db7c0a065c242c7f2272","abstract_canon_sha256":"527adb5b9dc17f8c0baaf8e3e238742ce9cee00dc41fe2cb3b423e604c57a09b"},"schema_version":"1.0"},"canonical_sha256":"4eac3376a32d77ebdc5d4384f1c035e04c27add4bc295b12d5126f3b065e9a1d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:02:10.292931Z","signature_b64":"IZk9NGyliIrprRUPo0AZJ8L42QOInnMgkfs5OXH3bZb4uJuXcww3/CW0aVo2JeC9Hy4pdiDm3uAgMbv+PDRNAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4eac3376a32d77ebdc5d4384f1c035e04c27add4bc295b12d5126f3b065e9a1d","last_reissued_at":"2026-07-05T04:02:10.292295Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:02:10.292295Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.01764","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":"2026-07-05T04:02:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dPsDbNeArekVhZ680c9BIoy6poH9PQpuymaWLLs0r824jD1qzzbjO4MEJ7JwzpjsZPV0DWImQrotHDht4o8CDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T11:59:16.269147Z"},"content_sha256":"74ac6353be760dbc6bc0ce5c76d556f25126693c7d02dfc26464841dd1344ae3","schema_version":"1.0","event_id":"sha256:74ac6353be760dbc6bc0ce5c76d556f25126693c7d02dfc26464841dd1344ae3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:J2WDG5VDFV36XXC5IOCPDQBV4B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Random Quantum Neural Networks (RQNN) for Noisy Image Recognition","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.CV","eess.IV"],"primary_cat":"quant-ph","authors_text":"Aditya Das Sarma, Attila Cangi, Debanjan Konar, Erol Gelenbe, Soham Bhandary","submitted_at":"2022-03-03T15:15:29Z","abstract_excerpt":"Classical Random Neural Networks (RNNs) have demonstrated effective applications in decision making, signal processing, and image recognition tasks. However, their implementation has been limited to deterministic digital systems that output probability distributions in lieu of stochastic behaviors of random spiking signals. We introduce the novel class of supervised Random Quantum Neural Networks (RQNNs) with a robust training strategy to better exploit the random nature of the spiking RNN. The proposed RQNN employs hybrid classical-quantum algorithms with superposition state and amplitude enc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.01764","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/2203.01764/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:02:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aqkxB9PNhiIIdVUImcGHTwzrD9MBSwipmTs9+dKZK+hIRFDyu+zX1PGO16Z6pfMQsFvi1FY85hrPE4Aabn0WDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T11:59:16.269544Z"},"content_sha256":"1601c010c4ca679cb2628563f8bcc12fdda9abef2aec3aee740d0f9ba13f0608","schema_version":"1.0","event_id":"sha256:1601c010c4ca679cb2628563f8bcc12fdda9abef2aec3aee740d0f9ba13f0608"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J2WDG5VDFV36XXC5IOCPDQBV4B/bundle.json","state_url":"https://pith.science/pith/J2WDG5VDFV36XXC5IOCPDQBV4B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J2WDG5VDFV36XXC5IOCPDQBV4B/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":"2026-07-11T11:59:16Z","links":{"resolver":"https://pith.science/pith/J2WDG5VDFV36XXC5IOCPDQBV4B","bundle":"https://pith.science/pith/J2WDG5VDFV36XXC5IOCPDQBV4B/bundle.json","state":"https://pith.science/pith/J2WDG5VDFV36XXC5IOCPDQBV4B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J2WDG5VDFV36XXC5IOCPDQBV4B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:J2WDG5VDFV36XXC5IOCPDQBV4B","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":"527adb5b9dc17f8c0baaf8e3e238742ce9cee00dc41fe2cb3b423e604c57a09b","cross_cats_sorted":["cs.CV","eess.IV"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"quant-ph","submitted_at":"2022-03-03T15:15:29Z","title_canon_sha256":"46fc432f418285081222f5b1c6d8a3bbbbeed2bb0380db7c0a065c242c7f2272"},"schema_version":"1.0","source":{"id":"2203.01764","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.01764","created_at":"2026-07-05T04:02:10Z"},{"alias_kind":"arxiv_version","alias_value":"2203.01764v1","created_at":"2026-07-05T04:02:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.01764","created_at":"2026-07-05T04:02:10Z"},{"alias_kind":"pith_short_12","alias_value":"J2WDG5VDFV36","created_at":"2026-07-05T04:02:10Z"},{"alias_kind":"pith_short_16","alias_value":"J2WDG5VDFV36XXC5","created_at":"2026-07-05T04:02:10Z"},{"alias_kind":"pith_short_8","alias_value":"J2WDG5VD","created_at":"2026-07-05T04:02:10Z"}],"graph_snapshots":[{"event_id":"sha256:1601c010c4ca679cb2628563f8bcc12fdda9abef2aec3aee740d0f9ba13f0608","target":"graph","created_at":"2026-07-05T04:02:10Z","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/2203.01764/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Classical Random Neural Networks (RNNs) have demonstrated effective applications in decision making, signal processing, and image recognition tasks. However, their implementation has been limited to deterministic digital systems that output probability distributions in lieu of stochastic behaviors of random spiking signals. We introduce the novel class of supervised Random Quantum Neural Networks (RQNNs) with a robust training strategy to better exploit the random nature of the spiking RNN. The proposed RQNN employs hybrid classical-quantum algorithms with superposition state and amplitude enc","authors_text":"Aditya Das Sarma, Attila Cangi, Debanjan Konar, Erol Gelenbe, Soham Bhandary","cross_cats":["cs.CV","eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"quant-ph","submitted_at":"2022-03-03T15:15:29Z","title":"Random Quantum Neural Networks (RQNN) for Noisy Image Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.01764","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":"sha256:74ac6353be760dbc6bc0ce5c76d556f25126693c7d02dfc26464841dd1344ae3","target":"record","created_at":"2026-07-05T04:02:10Z","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":"527adb5b9dc17f8c0baaf8e3e238742ce9cee00dc41fe2cb3b423e604c57a09b","cross_cats_sorted":["cs.CV","eess.IV"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"quant-ph","submitted_at":"2022-03-03T15:15:29Z","title_canon_sha256":"46fc432f418285081222f5b1c6d8a3bbbbeed2bb0380db7c0a065c242c7f2272"},"schema_version":"1.0","source":{"id":"2203.01764","kind":"arxiv","version":1}},"canonical_sha256":"4eac3376a32d77ebdc5d4384f1c035e04c27add4bc295b12d5126f3b065e9a1d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4eac3376a32d77ebdc5d4384f1c035e04c27add4bc295b12d5126f3b065e9a1d","first_computed_at":"2026-07-05T04:02:10.292295Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:02:10.292295Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IZk9NGyliIrprRUPo0AZJ8L42QOInnMgkfs5OXH3bZb4uJuXcww3/CW0aVo2JeC9Hy4pdiDm3uAgMbv+PDRNAw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:02:10.292931Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.01764","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:74ac6353be760dbc6bc0ce5c76d556f25126693c7d02dfc26464841dd1344ae3","sha256:1601c010c4ca679cb2628563f8bcc12fdda9abef2aec3aee740d0f9ba13f0608"],"state_sha256":"3628461124b98a39b0a5df465cf3013423c0a446413307bfed4091e77df16c5a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IqZ7FhmVviZvgv39U3h2tlpPf4ESiefIb7g7MxvkUGgp8ucgLxtNc0qxhRES57ufHbofhfk0R6potX9gOpscBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-11T11:59:16.271716Z","bundle_sha256":"f05f021084bd8ec5602087ecc601652b6aecc3291eb7f115224fc150b0488f15"}}