{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:2ZNU7TRYYSFRRUKHT5HYASTEWZ","short_pith_number":"pith:2ZNU7TRY","canonical_record":{"source":{"id":"2504.20680","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2025-04-29T12:01:33Z","cross_cats_sorted":[],"title_canon_sha256":"2c66adaea3d9f14da7e85b87e925ab8677b3b0b9b8d095b96ae4ee14611c54d7","abstract_canon_sha256":"de45c857fd715453e1542bf148569c009f7bc1ebd18d295fe36809b6662d50db"},"schema_version":"1.0"},"canonical_sha256":"d65b4fce38c48b18d1479f4f804a64b65c0ea768c67b82d12400d27679d96ef9","source":{"kind":"arxiv","id":"2504.20680","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.20680","created_at":"2026-07-05T10:55:46Z"},{"alias_kind":"arxiv_version","alias_value":"2504.20680v1","created_at":"2026-07-05T10:55:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.20680","created_at":"2026-07-05T10:55:46Z"},{"alias_kind":"pith_short_12","alias_value":"2ZNU7TRYYSFR","created_at":"2026-07-05T10:55:46Z"},{"alias_kind":"pith_short_16","alias_value":"2ZNU7TRYYSFRRUKH","created_at":"2026-07-05T10:55:46Z"},{"alias_kind":"pith_short_8","alias_value":"2ZNU7TRY","created_at":"2026-07-05T10:55:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:2ZNU7TRYYSFRRUKHT5HYASTEWZ","target":"record","payload":{"canonical_record":{"source":{"id":"2504.20680","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2025-04-29T12:01:33Z","cross_cats_sorted":[],"title_canon_sha256":"2c66adaea3d9f14da7e85b87e925ab8677b3b0b9b8d095b96ae4ee14611c54d7","abstract_canon_sha256":"de45c857fd715453e1542bf148569c009f7bc1ebd18d295fe36809b6662d50db"},"schema_version":"1.0"},"canonical_sha256":"d65b4fce38c48b18d1479f4f804a64b65c0ea768c67b82d12400d27679d96ef9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:55:46.997005Z","signature_b64":"MF4FOjDkVUj24U1T7+khd1OnNXNQqLNJb3hVnsfUH9UXjJ2jJI6w41/6xAbEau15rr+0XApq4yFjDPg9h9NxAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d65b4fce38c48b18d1479f4f804a64b65c0ea768c67b82d12400d27679d96ef9","last_reissued_at":"2026-07-05T10:55:46.996463Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:55:46.996463Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.20680","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":"2026-07-05T10:55:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QkipYdQwXrS5b6Z1zZ/yPXxCjQcudgvg379IWEpSbutwJo22GMTAyNrmcNZO+AigZ7G/mn2ZNiY0POWYjYQ0Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T22:10:18.930458Z"},"content_sha256":"fed69b8f802a473132bc31454efba891e69f6626e6d1b6215c292e04e12e8636","schema_version":"1.0","event_id":"sha256:fed69b8f802a473132bc31454efba891e69f6626e6d1b6215c292e04e12e8636"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:2ZNU7TRYYSFRRUKHT5HYASTEWZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Overcoming Quadratic Hardware Scaling for a Fully Connected Digital Oscillatory Neural Network","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AR","authors_text":"Aida Todri-Sanial, Bram Haverkort","submitted_at":"2025-04-29T12:01:33Z","abstract_excerpt":"Computing with coupled oscillators or oscillatory neural networks (ONNs) has recently attracted a lot of interest due to their potential for massive parallelism and energy-efficient computing. However, to date, ONNs have primarily been explored either analytically or through analog circuit implementations. This paper shifts the focus to the digital implementation of ONNs, examining various design architectures. We first report on an existing digital ONN design based on a recurrent architecture. The major challenge for scaling such recurrent architectures is the quadratic increase in coupling h"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.20680","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/2504.20680/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":"2026-07-05T10:55:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t130hnMw0OtK+3h4oTIjmcNl6hoffh/BNLdu7frCPbaZARXC2QFgRh/dr9XhVKuDzkm/ipZp0bvbBOwcCpg9Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T22:10:18.931094Z"},"content_sha256":"6a28d09526a53d33995d89e6f9dc53c2ccbacc36b1d663d015c35e70e4427cc8","schema_version":"1.0","event_id":"sha256:6a28d09526a53d33995d89e6f9dc53c2ccbacc36b1d663d015c35e70e4427cc8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2ZNU7TRYYSFRRUKHT5HYASTEWZ/bundle.json","state_url":"https://pith.science/pith/2ZNU7TRYYSFRRUKHT5HYASTEWZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2ZNU7TRYYSFRRUKHT5HYASTEWZ/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":"2026-08-21T22:10:18Z","links":{"resolver":"https://pith.science/pith/2ZNU7TRYYSFRRUKHT5HYASTEWZ","bundle":"https://pith.science/pith/2ZNU7TRYYSFRRUKHT5HYASTEWZ/bundle.json","state":"https://pith.science/pith/2ZNU7TRYYSFRRUKHT5HYASTEWZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2ZNU7TRYYSFRRUKHT5HYASTEWZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2ZNU7TRYYSFRRUKHT5HYASTEWZ","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":"de45c857fd715453e1542bf148569c009f7bc1ebd18d295fe36809b6662d50db","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2025-04-29T12:01:33Z","title_canon_sha256":"2c66adaea3d9f14da7e85b87e925ab8677b3b0b9b8d095b96ae4ee14611c54d7"},"schema_version":"1.0","source":{"id":"2504.20680","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.20680","created_at":"2026-07-05T10:55:46Z"},{"alias_kind":"arxiv_version","alias_value":"2504.20680v1","created_at":"2026-07-05T10:55:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.20680","created_at":"2026-07-05T10:55:46Z"},{"alias_kind":"pith_short_12","alias_value":"2ZNU7TRYYSFR","created_at":"2026-07-05T10:55:46Z"},{"alias_kind":"pith_short_16","alias_value":"2ZNU7TRYYSFRRUKH","created_at":"2026-07-05T10:55:46Z"},{"alias_kind":"pith_short_8","alias_value":"2ZNU7TRY","created_at":"2026-07-05T10:55:46Z"}],"graph_snapshots":[{"event_id":"sha256:6a28d09526a53d33995d89e6f9dc53c2ccbacc36b1d663d015c35e70e4427cc8","target":"graph","created_at":"2026-07-05T10:55:46Z","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/2504.20680/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Computing with coupled oscillators or oscillatory neural networks (ONNs) has recently attracted a lot of interest due to their potential for massive parallelism and energy-efficient computing. However, to date, ONNs have primarily been explored either analytically or through analog circuit implementations. This paper shifts the focus to the digital implementation of ONNs, examining various design architectures. We first report on an existing digital ONN design based on a recurrent architecture. The major challenge for scaling such recurrent architectures is the quadratic increase in coupling h","authors_text":"Aida Todri-Sanial, Bram Haverkort","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2025-04-29T12:01:33Z","title":"Overcoming Quadratic Hardware Scaling for a Fully Connected Digital Oscillatory Neural Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.20680","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:fed69b8f802a473132bc31454efba891e69f6626e6d1b6215c292e04e12e8636","target":"record","created_at":"2026-07-05T10:55:46Z","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":"de45c857fd715453e1542bf148569c009f7bc1ebd18d295fe36809b6662d50db","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2025-04-29T12:01:33Z","title_canon_sha256":"2c66adaea3d9f14da7e85b87e925ab8677b3b0b9b8d095b96ae4ee14611c54d7"},"schema_version":"1.0","source":{"id":"2504.20680","kind":"arxiv","version":1}},"canonical_sha256":"d65b4fce38c48b18d1479f4f804a64b65c0ea768c67b82d12400d27679d96ef9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d65b4fce38c48b18d1479f4f804a64b65c0ea768c67b82d12400d27679d96ef9","first_computed_at":"2026-07-05T10:55:46.996463Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:55:46.996463Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MF4FOjDkVUj24U1T7+khd1OnNXNQqLNJb3hVnsfUH9UXjJ2jJI6w41/6xAbEau15rr+0XApq4yFjDPg9h9NxAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:55:46.997005Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.20680","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fed69b8f802a473132bc31454efba891e69f6626e6d1b6215c292e04e12e8636","sha256:6a28d09526a53d33995d89e6f9dc53c2ccbacc36b1d663d015c35e70e4427cc8"],"state_sha256":"d5e0e4ba52d4692b6441c6a94834507ac703fc5da548ff2cfcdba3c9ce7b177b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GyRlT0jaiUrAF2yt9X6hybp17X0+zZR0HAc5xAF83b5oaY8Gdb8pWv1bH8TjlhxEvFzBSFnjmDlrL3iUD7gPDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T22:10:18.934913Z","bundle_sha256":"ca16bd7179331f02bc2a3223563dbf1a3bae3e6eb597682ad30736f007f473f5"}}