{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:BRXMB5R5ZXATPZCGKYRFI4MWNC","short_pith_number":"pith:BRXMB5R5","canonical_record":{"source":{"id":"1805.03033","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2018-05-04T07:40:59Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"ccb4e9688d36c9cb5a5b88fe13f754c7d9612a6bcb551ddbbef8fae8bb12fd4d","abstract_canon_sha256":"899852047dcae1fee00f1b14d92b5c92a2f3aec1d4e0f20ecf24a90f3ff7a19c"},"schema_version":"1.0"},"canonical_sha256":"0c6ec0f63dcdc137e4465622547196689be351295500e0959b696e4e8af4a8b1","source":{"kind":"arxiv","id":"1805.03033","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.03033","created_at":"2026-05-18T00:02:01Z"},{"alias_kind":"arxiv_version","alias_value":"1805.03033v2","created_at":"2026-05-18T00:02:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.03033","created_at":"2026-05-18T00:02:01Z"},{"alias_kind":"pith_short_12","alias_value":"BRXMB5R5ZXAT","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"BRXMB5R5ZXATPZCG","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"BRXMB5R5","created_at":"2026-05-18T12:32:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:BRXMB5R5ZXATPZCGKYRFI4MWNC","target":"record","payload":{"canonical_record":{"source":{"id":"1805.03033","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2018-05-04T07:40:59Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"ccb4e9688d36c9cb5a5b88fe13f754c7d9612a6bcb551ddbbef8fae8bb12fd4d","abstract_canon_sha256":"899852047dcae1fee00f1b14d92b5c92a2f3aec1d4e0f20ecf24a90f3ff7a19c"},"schema_version":"1.0"},"canonical_sha256":"0c6ec0f63dcdc137e4465622547196689be351295500e0959b696e4e8af4a8b1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:02:01.124951Z","signature_b64":"/lDCf4ipHf9CMQFgRBjBl1F0y4Ko33ERx6TjKD76VL0TB+3X7bVKUTExe0g4GXmrx9UCAsV+itroadrKPTZaAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0c6ec0f63dcdc137e4465622547196689be351295500e0959b696e4e8af4a8b1","last_reissued_at":"2026-05-18T00:02:01.124468Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:02:01.124468Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.03033","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:02:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Le/2HwiCLvAsKO2WRS/m6QzK1Wfo9SMWzmmZoatNTIWv8oSAZXNz9G8uZK1eXmNVfUS94T85a14SVFvNe13dAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T14:32:29.372664Z"},"content_sha256":"d0a54e227cbc87ef1f3dc658e8db72c7240f092824b06e73e1ed2a91e0f9dc12","schema_version":"1.0","event_id":"sha256:d0a54e227cbc87ef1f3dc658e8db72c7240f092824b06e73e1ed2a91e0f9dc12"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:BRXMB5R5ZXATPZCGKYRFI4MWNC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Efficient Design of Hardware-Enabled Reservoir Computing in FPGAs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE"],"primary_cat":"cs.ET","authors_text":"Bogdan Penkovsky, Daniel Brunner, Laurent Larger","submitted_at":"2018-05-04T07:40:59Z","abstract_excerpt":"In this work, we propose a new approach towards the efficient optimization and implementation of reservoir computing hardware reducing the required domain expert knowledge and optimization effort. First, we adapt the reservoir input mask to the structure of the data via linear autoencoders. We therefore incorporate the advantages of dimensionality reduction and dimensionality expansion achieved by conventional algorithmically efficient linear algebra procedures of principal component analysis. Second, we employ evolutionary-inspired genetic algorithm techniques resulting in a highly efficient "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.03033","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T00:02:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iweYwn4wn5zEbA+4awVbZLHxP1XD4ebXvUf1UxputN2nyd5+zLWp2cvawq4OtWbUy9evYdblu4Rva5KYvXwiCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T14:32:29.373393Z"},"content_sha256":"10747ed0cbdd553333cde4b1e213a9577a06e8b4c73b57bc4c3f835845490378","schema_version":"1.0","event_id":"sha256:10747ed0cbdd553333cde4b1e213a9577a06e8b4c73b57bc4c3f835845490378"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BRXMB5R5ZXATPZCGKYRFI4MWNC/bundle.json","state_url":"https://pith.science/pith/BRXMB5R5ZXATPZCGKYRFI4MWNC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BRXMB5R5ZXATPZCGKYRFI4MWNC/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":"2026-05-31T14:32:29Z","links":{"resolver":"https://pith.science/pith/BRXMB5R5ZXATPZCGKYRFI4MWNC","bundle":"https://pith.science/pith/BRXMB5R5ZXATPZCGKYRFI4MWNC/bundle.json","state":"https://pith.science/pith/BRXMB5R5ZXATPZCGKYRFI4MWNC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BRXMB5R5ZXATPZCGKYRFI4MWNC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:BRXMB5R5ZXATPZCGKYRFI4MWNC","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":"899852047dcae1fee00f1b14d92b5c92a2f3aec1d4e0f20ecf24a90f3ff7a19c","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2018-05-04T07:40:59Z","title_canon_sha256":"ccb4e9688d36c9cb5a5b88fe13f754c7d9612a6bcb551ddbbef8fae8bb12fd4d"},"schema_version":"1.0","source":{"id":"1805.03033","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.03033","created_at":"2026-05-18T00:02:01Z"},{"alias_kind":"arxiv_version","alias_value":"1805.03033v2","created_at":"2026-05-18T00:02:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.03033","created_at":"2026-05-18T00:02:01Z"},{"alias_kind":"pith_short_12","alias_value":"BRXMB5R5ZXAT","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"BRXMB5R5ZXATPZCG","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"BRXMB5R5","created_at":"2026-05-18T12:32:16Z"}],"graph_snapshots":[{"event_id":"sha256:10747ed0cbdd553333cde4b1e213a9577a06e8b4c73b57bc4c3f835845490378","target":"graph","created_at":"2026-05-18T00:02:01Z","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"},"paper":{"abstract_excerpt":"In this work, we propose a new approach towards the efficient optimization and implementation of reservoir computing hardware reducing the required domain expert knowledge and optimization effort. First, we adapt the reservoir input mask to the structure of the data via linear autoencoders. We therefore incorporate the advantages of dimensionality reduction and dimensionality expansion achieved by conventional algorithmically efficient linear algebra procedures of principal component analysis. Second, we employ evolutionary-inspired genetic algorithm techniques resulting in a highly efficient ","authors_text":"Bogdan Penkovsky, Daniel Brunner, Laurent Larger","cross_cats":["cs.LG","cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2018-05-04T07:40:59Z","title":"Efficient Design of Hardware-Enabled Reservoir Computing in FPGAs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.03033","kind":"arxiv","version":2},"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:d0a54e227cbc87ef1f3dc658e8db72c7240f092824b06e73e1ed2a91e0f9dc12","target":"record","created_at":"2026-05-18T00:02:01Z","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":"899852047dcae1fee00f1b14d92b5c92a2f3aec1d4e0f20ecf24a90f3ff7a19c","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2018-05-04T07:40:59Z","title_canon_sha256":"ccb4e9688d36c9cb5a5b88fe13f754c7d9612a6bcb551ddbbef8fae8bb12fd4d"},"schema_version":"1.0","source":{"id":"1805.03033","kind":"arxiv","version":2}},"canonical_sha256":"0c6ec0f63dcdc137e4465622547196689be351295500e0959b696e4e8af4a8b1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0c6ec0f63dcdc137e4465622547196689be351295500e0959b696e4e8af4a8b1","first_computed_at":"2026-05-18T00:02:01.124468Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:02:01.124468Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/lDCf4ipHf9CMQFgRBjBl1F0y4Ko33ERx6TjKD76VL0TB+3X7bVKUTExe0g4GXmrx9UCAsV+itroadrKPTZaAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:02:01.124951Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.03033","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d0a54e227cbc87ef1f3dc658e8db72c7240f092824b06e73e1ed2a91e0f9dc12","sha256:10747ed0cbdd553333cde4b1e213a9577a06e8b4c73b57bc4c3f835845490378"],"state_sha256":"1f0b64eb6ca0540feed5296fec66c9a8c7ecd3da825690375fb03cc5c9ebab91"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iM8lXaN9Vk2SLRx1gWyvMLj4lQIkP/w4oKt9KSD/WOTX7nOyIkjrtH/Cw1MkWlLe6XKErNIAz+3OMFw2+YmwDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T14:32:29.376679Z","bundle_sha256":"6c5b6061670b7fb5d8d7363a9d4dcb2718dfb376a4e3fa32e76fe991d0571187"}}