{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DKQRPRSFJVDYIWOVQFK4DZ5PWU","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":"fa878e59b677f0a1314586a67b4e7d6aabd5a0e1d803dd576e3207c1c85f6e3b","cross_cats_sorted":["cs.ET"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2024-01-31T10:36:53Z","title_canon_sha256":"8900ce4742e2260b539b39b9bd39e16899f9902b4a80a20226a203a734c030d1"},"schema_version":"1.0","source":{"id":"2401.17724","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.17724","created_at":"2026-07-05T07:39:41Z"},{"alias_kind":"arxiv_version","alias_value":"2401.17724v1","created_at":"2026-07-05T07:39:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.17724","created_at":"2026-07-05T07:39:41Z"},{"alias_kind":"pith_short_12","alias_value":"DKQRPRSFJVDY","created_at":"2026-07-05T07:39:41Z"},{"alias_kind":"pith_short_16","alias_value":"DKQRPRSFJVDYIWOV","created_at":"2026-07-05T07:39:41Z"},{"alias_kind":"pith_short_8","alias_value":"DKQRPRSF","created_at":"2026-07-05T07:39:41Z"}],"graph_snapshots":[{"event_id":"sha256:b00a26578e0577505d3baee9e64b67eadc124736b1019b37f975ffa21a78410f","target":"graph","created_at":"2026-07-05T07:39:41Z","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/2401.17724/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"State-of-the-Art (SotA) hardware implementations of Deep Neural Networks (DNNs) incur high latencies and costs. Binary Neural Networks (BNNs) are potential alternative solutions to realize faster implementations without losing accuracy. In this paper, we first present a new data mapping, called TacitMap, suited for BNNs implemented based on a Computation-In-Memory (CIM) architecture. TacitMap maximizes the use of available parallelism, while CIM architecture eliminates the data movement overhead. We then propose a hardware accelerator based on optical phase change memory (oPCM) called Einstein","authors_text":"Alberto Bosio, Ian O'Connor, Raphael Cardoso, Said Hamdioui, Stephan Wong, Taha Shahroodi","cross_cats":["cs.ET"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2024-01-31T10:36:53Z","title":"High-Performance Data Mapping for BNNs on PCM-based Integrated Photonics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.17724","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:bdc0d1dddb03e4e83cfae0d34555dd93f6075d734084b9d5f37f1406fcc6055b","target":"record","created_at":"2026-07-05T07:39:41Z","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":"fa878e59b677f0a1314586a67b4e7d6aabd5a0e1d803dd576e3207c1c85f6e3b","cross_cats_sorted":["cs.ET"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2024-01-31T10:36:53Z","title_canon_sha256":"8900ce4742e2260b539b39b9bd39e16899f9902b4a80a20226a203a734c030d1"},"schema_version":"1.0","source":{"id":"2401.17724","kind":"arxiv","version":1}},"canonical_sha256":"1aa117c6454d478459d58155c1e7afb51ede5152386569bcf8b35d31d000a593","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1aa117c6454d478459d58155c1e7afb51ede5152386569bcf8b35d31d000a593","first_computed_at":"2026-07-05T07:39:41.338599Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:39:41.338599Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4YAaHw21VMIqxQTwdGmJ8kzxcWFJBTyRiTrt+scvqR07FE0oL+lNFTwmyoNF6EcUrdn6kaInD3hTwc3s1SiYCg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:39:41.339065Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.17724","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bdc0d1dddb03e4e83cfae0d34555dd93f6075d734084b9d5f37f1406fcc6055b","sha256:b00a26578e0577505d3baee9e64b67eadc124736b1019b37f975ffa21a78410f"],"state_sha256":"a7c91b01521ce5352b065133c0470241ce9ac66989e6fb337d811c9e36a0c87b"}