{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:5RX4JXPGRZLQOXZ4GY5HG3SH6H","short_pith_number":"pith:5RX4JXPG","canonical_record":{"source":{"id":"2506.05588","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.NE","submitted_at":"2025-06-05T21:06:10Z","cross_cats_sorted":["cs.AR","cs.ET"],"title_canon_sha256":"8533f4adc75cd55cb99d264335eb7ee9bceffcb47335792e96ddd1073109bcd1","abstract_canon_sha256":"2d6c6c8d787bf94a29116acbdd4ac789b0f54c97d210bb2f87f663f1100dafe2"},"schema_version":"1.0"},"canonical_sha256":"ec6fc4dde68e57075f3c363a736e47f1d981afd8830a0ad929783a5dbd9d827c","source":{"kind":"arxiv","id":"2506.05588","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.05588","created_at":"2026-07-05T11:46:22Z"},{"alias_kind":"arxiv_version","alias_value":"2506.05588v3","created_at":"2026-07-05T11:46:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.05588","created_at":"2026-07-05T11:46:22Z"},{"alias_kind":"pith_short_12","alias_value":"5RX4JXPGRZLQ","created_at":"2026-07-05T11:46:22Z"},{"alias_kind":"pith_short_16","alias_value":"5RX4JXPGRZLQOXZ4","created_at":"2026-07-05T11:46:22Z"},{"alias_kind":"pith_short_8","alias_value":"5RX4JXPG","created_at":"2026-07-05T11:46:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:5RX4JXPGRZLQOXZ4GY5HG3SH6H","target":"record","payload":{"canonical_record":{"source":{"id":"2506.05588","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.NE","submitted_at":"2025-06-05T21:06:10Z","cross_cats_sorted":["cs.AR","cs.ET"],"title_canon_sha256":"8533f4adc75cd55cb99d264335eb7ee9bceffcb47335792e96ddd1073109bcd1","abstract_canon_sha256":"2d6c6c8d787bf94a29116acbdd4ac789b0f54c97d210bb2f87f663f1100dafe2"},"schema_version":"1.0"},"canonical_sha256":"ec6fc4dde68e57075f3c363a736e47f1d981afd8830a0ad929783a5dbd9d827c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:46:22.355642Z","signature_b64":"3IBc0qm1R3qKZN4APHAk6/+eqvanO8zYcr2jZPgjPaMRONVZtcq5j82d5McehsbkiLh7IYhkShmGwA9O3iXNCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ec6fc4dde68e57075f3c363a736e47f1d981afd8830a0ad929783a5dbd9d827c","last_reissued_at":"2026-07-05T11:46:22.355141Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:46:22.355141Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.05588","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:46:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sqMExD6ZW8HcEd/BlXI2BALrkn05RCEidgyyz+ohH3GKByVLUwGbKWlSmW6UrbeAjmkmGkrLFadxgm6rD6W9Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T20:32:12.521746Z"},"content_sha256":"16edb905ae4c1421d298988aeee88f6ea7ab49dd25921c63db885483f5e41dc6","schema_version":"1.0","event_id":"sha256:16edb905ae4c1421d298988aeee88f6ea7ab49dd25921c63db885483f5e41dc6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:5RX4JXPGRZLQOXZ4GY5HG3SH6H","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Preprocessing Methods for Memristive Reservoir Computing for Image Recognition","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AR","cs.ET"],"primary_cat":"cs.NE","authors_text":"David Saad, Duna Wattad, Rishona Daniels, Ronny Ronen, Shahar Kvatinsky","submitted_at":"2025-06-05T21:06:10Z","abstract_excerpt":"Reservoir computing (RC) has attracted attention as an efficient recurrent neural network architecture due to its simplified training, requiring only its last perceptron readout layer to be trained. When implemented with memristors, RC systems benefit from their dynamic properties, which make them ideal for reservoir construction. However, achieving high performance in memristor-based RC remains challenging, as it critically depends on the input preprocessing method and reservoir size. Despite growing interest, a comprehensive evaluation that quantifies the impact of these factors is still lac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.05588","kind":"arxiv","version":3},"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/2506.05588/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":"2026-07-05T11:46:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q/UhbvytXlOCdzTkNRPS1rrA5A6eEHcZibcYfrc2WLlj4ZwiQbfZF4966YtmMq54Cj5dgQf5miY67b+ZEswGCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T20:32:12.522456Z"},"content_sha256":"c34ddbec8c5559612df0b0c5396d2133a4276c756d4a9739317ac34f093485ec","schema_version":"1.0","event_id":"sha256:c34ddbec8c5559612df0b0c5396d2133a4276c756d4a9739317ac34f093485ec"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5RX4JXPGRZLQOXZ4GY5HG3SH6H/bundle.json","state_url":"https://pith.science/pith/5RX4JXPGRZLQOXZ4GY5HG3SH6H/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5RX4JXPGRZLQOXZ4GY5HG3SH6H/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":"2026-08-19T20:32:12Z","links":{"resolver":"https://pith.science/pith/5RX4JXPGRZLQOXZ4GY5HG3SH6H","bundle":"https://pith.science/pith/5RX4JXPGRZLQOXZ4GY5HG3SH6H/bundle.json","state":"https://pith.science/pith/5RX4JXPGRZLQOXZ4GY5HG3SH6H/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5RX4JXPGRZLQOXZ4GY5HG3SH6H/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5RX4JXPGRZLQOXZ4GY5HG3SH6H","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":"2d6c6c8d787bf94a29116acbdd4ac789b0f54c97d210bb2f87f663f1100dafe2","cross_cats_sorted":["cs.AR","cs.ET"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.NE","submitted_at":"2025-06-05T21:06:10Z","title_canon_sha256":"8533f4adc75cd55cb99d264335eb7ee9bceffcb47335792e96ddd1073109bcd1"},"schema_version":"1.0","source":{"id":"2506.05588","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.05588","created_at":"2026-07-05T11:46:22Z"},{"alias_kind":"arxiv_version","alias_value":"2506.05588v3","created_at":"2026-07-05T11:46:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.05588","created_at":"2026-07-05T11:46:22Z"},{"alias_kind":"pith_short_12","alias_value":"5RX4JXPGRZLQ","created_at":"2026-07-05T11:46:22Z"},{"alias_kind":"pith_short_16","alias_value":"5RX4JXPGRZLQOXZ4","created_at":"2026-07-05T11:46:22Z"},{"alias_kind":"pith_short_8","alias_value":"5RX4JXPG","created_at":"2026-07-05T11:46:22Z"}],"graph_snapshots":[{"event_id":"sha256:c34ddbec8c5559612df0b0c5396d2133a4276c756d4a9739317ac34f093485ec","target":"graph","created_at":"2026-07-05T11:46:22Z","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/2506.05588/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reservoir computing (RC) has attracted attention as an efficient recurrent neural network architecture due to its simplified training, requiring only its last perceptron readout layer to be trained. When implemented with memristors, RC systems benefit from their dynamic properties, which make them ideal for reservoir construction. However, achieving high performance in memristor-based RC remains challenging, as it critically depends on the input preprocessing method and reservoir size. Despite growing interest, a comprehensive evaluation that quantifies the impact of these factors is still lac","authors_text":"David Saad, Duna Wattad, Rishona Daniels, Ronny Ronen, Shahar Kvatinsky","cross_cats":["cs.AR","cs.ET"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.NE","submitted_at":"2025-06-05T21:06:10Z","title":"Preprocessing Methods for Memristive Reservoir Computing for Image Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.05588","kind":"arxiv","version":3},"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":"sha256:16edb905ae4c1421d298988aeee88f6ea7ab49dd25921c63db885483f5e41dc6","target":"record","created_at":"2026-07-05T11:46:22Z","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":"2d6c6c8d787bf94a29116acbdd4ac789b0f54c97d210bb2f87f663f1100dafe2","cross_cats_sorted":["cs.AR","cs.ET"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.NE","submitted_at":"2025-06-05T21:06:10Z","title_canon_sha256":"8533f4adc75cd55cb99d264335eb7ee9bceffcb47335792e96ddd1073109bcd1"},"schema_version":"1.0","source":{"id":"2506.05588","kind":"arxiv","version":3}},"canonical_sha256":"ec6fc4dde68e57075f3c363a736e47f1d981afd8830a0ad929783a5dbd9d827c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ec6fc4dde68e57075f3c363a736e47f1d981afd8830a0ad929783a5dbd9d827c","first_computed_at":"2026-07-05T11:46:22.355141Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:46:22.355141Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3IBc0qm1R3qKZN4APHAk6/+eqvanO8zYcr2jZPgjPaMRONVZtcq5j82d5McehsbkiLh7IYhkShmGwA9O3iXNCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:46:22.355642Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.05588","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:16edb905ae4c1421d298988aeee88f6ea7ab49dd25921c63db885483f5e41dc6","sha256:c34ddbec8c5559612df0b0c5396d2133a4276c756d4a9739317ac34f093485ec"],"state_sha256":"40ca45253b8facce33357279dd5fe2fe46591a44422fa3b01baa55b79b76b2ce"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TYGsEhzuUrTRrg3/2+q7vnxjx5i0Y8mz8Ll+XAiDNt6yUgDfyK4vBuCevesJ0/CTGjD5+mLxKs1tahHwjdYmDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T20:32:12.529179Z","bundle_sha256":"b17d03a522e0e9a056802ab91854db272b4191cab272506ab9873e85c6c9296b"}}