{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:F3XXGYVA43Z6YFFXZD7EASV52L","short_pith_number":"pith:F3XXGYVA","canonical_record":{"source":{"id":"1906.08866","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-05-28T00:07:48Z","cross_cats_sorted":[],"title_canon_sha256":"baf6cbc73755d0a8d8756cc94184e044c4e8f29562a65318ef1fd9136cfc44ad","abstract_canon_sha256":"41f76d4e241eede62f1cb0847c8f069129e84cca638f68300b42f68edac8748b"},"schema_version":"1.0"},"canonical_sha256":"2eef7362a0e6f3ec14b7c8fe404abdd2d606ceb50fb08007250f5cc3bd022882","source":{"kind":"arxiv","id":"1906.08866","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.08866","created_at":"2026-05-17T23:42:47Z"},{"alias_kind":"arxiv_version","alias_value":"1906.08866v1","created_at":"2026-05-17T23:42:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.08866","created_at":"2026-05-17T23:42:47Z"},{"alias_kind":"pith_short_12","alias_value":"F3XXGYVA43Z6","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"F3XXGYVA43Z6YFFX","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"F3XXGYVA","created_at":"2026-05-18T12:33:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:F3XXGYVA43Z6YFFXZD7EASV52L","target":"record","payload":{"canonical_record":{"source":{"id":"1906.08866","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-05-28T00:07:48Z","cross_cats_sorted":[],"title_canon_sha256":"baf6cbc73755d0a8d8756cc94184e044c4e8f29562a65318ef1fd9136cfc44ad","abstract_canon_sha256":"41f76d4e241eede62f1cb0847c8f069129e84cca638f68300b42f68edac8748b"},"schema_version":"1.0"},"canonical_sha256":"2eef7362a0e6f3ec14b7c8fe404abdd2d606ceb50fb08007250f5cc3bd022882","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:47.617857Z","signature_b64":"GlB932x9WGzGBP+9tyI1hSnXL9GyK6R4w2Cpq1yzUTODpy5t+gWCp8oEm/DfNkNvg7mzzY+0KWPwXXTLt3d9Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2eef7362a0e6f3ec14b7c8fe404abdd2d606ceb50fb08007250f5cc3bd022882","last_reissued_at":"2026-05-17T23:42:47.617293Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:47.617293Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.08866","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":"2026-05-17T23:42:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nnCdhdWIHndfRPMenaMB8bAUf25dIuihyJmEi8qaZfpm+Mbuz8GyubpCXb9uR7h9QKGzRUQ1AIblJWJAZd/SDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T21:58:15.567095Z"},"content_sha256":"68db64d5513fb06231b1eb2b05b39084af01e0eae7a4db785b84d6d0909cc006","schema_version":"1.0","event_id":"sha256:68db64d5513fb06231b1eb2b05b39084af01e0eae7a4db785b84d6d0909cc006"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:F3XXGYVA43Z6YFFXZD7EASV52L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Abinash Mohanty, Gokul Krishnan, Gouranga Charan, Xiaocong Du, Yu Cao, Zheng Li","submitted_at":"2019-05-28T00:07:48Z","abstract_excerpt":"Machine learning algorithms have made significant advances in many applications. However, their hardware implementation on the state-of-the-art platforms still faces several challenges and are limited by various factors, such as memory volume, memory bandwidth and interconnection overhead. The adoption of the crossbar architecture with emerging memory technology partially solves the problem but induces process variation and other concerns. In this paper, we will present novel solutions to two fundamental issues in crossbar implementation of Artificial Intelligence (AI) algorithms: device varia"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.08866","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":""},"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":"2026-05-17T23:42:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qt8mkDUDGu5naSKt7nMc1g9QzDwTbBcSbB30UeyJ5yvJXo9DTfcWEkqLjPUxknsGXLayjVGTGekziXpjLO+HCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T21:58:15.567443Z"},"content_sha256":"92b5ef7a0a95efc31eb7c6256e3148c0a0c0e1a5e3d97f458e84a88a57eb876a","schema_version":"1.0","event_id":"sha256:92b5ef7a0a95efc31eb7c6256e3148c0a0c0e1a5e3d97f458e84a88a57eb876a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F3XXGYVA43Z6YFFXZD7EASV52L/bundle.json","state_url":"https://pith.science/pith/F3XXGYVA43Z6YFFXZD7EASV52L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F3XXGYVA43Z6YFFXZD7EASV52L/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":"2026-06-01T21:58:15Z","links":{"resolver":"https://pith.science/pith/F3XXGYVA43Z6YFFXZD7EASV52L","bundle":"https://pith.science/pith/F3XXGYVA43Z6YFFXZD7EASV52L/bundle.json","state":"https://pith.science/pith/F3XXGYVA43Z6YFFXZD7EASV52L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F3XXGYVA43Z6YFFXZD7EASV52L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:F3XXGYVA43Z6YFFXZD7EASV52L","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":"41f76d4e241eede62f1cb0847c8f069129e84cca638f68300b42f68edac8748b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-05-28T00:07:48Z","title_canon_sha256":"baf6cbc73755d0a8d8756cc94184e044c4e8f29562a65318ef1fd9136cfc44ad"},"schema_version":"1.0","source":{"id":"1906.08866","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.08866","created_at":"2026-05-17T23:42:47Z"},{"alias_kind":"arxiv_version","alias_value":"1906.08866v1","created_at":"2026-05-17T23:42:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.08866","created_at":"2026-05-17T23:42:47Z"},{"alias_kind":"pith_short_12","alias_value":"F3XXGYVA43Z6","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"F3XXGYVA43Z6YFFX","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"F3XXGYVA","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:92b5ef7a0a95efc31eb7c6256e3148c0a0c0e1a5e3d97f458e84a88a57eb876a","target":"graph","created_at":"2026-05-17T23:42:47Z","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":"Machine learning algorithms have made significant advances in many applications. However, their hardware implementation on the state-of-the-art platforms still faces several challenges and are limited by various factors, such as memory volume, memory bandwidth and interconnection overhead. The adoption of the crossbar architecture with emerging memory technology partially solves the problem but induces process variation and other concerns. In this paper, we will present novel solutions to two fundamental issues in crossbar implementation of Artificial Intelligence (AI) algorithms: device varia","authors_text":"Abinash Mohanty, Gokul Krishnan, Gouranga Charan, Xiaocong Du, Yu Cao, Zheng Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-05-28T00:07:48Z","title":"Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.08866","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":"sha256:68db64d5513fb06231b1eb2b05b39084af01e0eae7a4db785b84d6d0909cc006","target":"record","created_at":"2026-05-17T23:42:47Z","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":"41f76d4e241eede62f1cb0847c8f069129e84cca638f68300b42f68edac8748b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-05-28T00:07:48Z","title_canon_sha256":"baf6cbc73755d0a8d8756cc94184e044c4e8f29562a65318ef1fd9136cfc44ad"},"schema_version":"1.0","source":{"id":"1906.08866","kind":"arxiv","version":1}},"canonical_sha256":"2eef7362a0e6f3ec14b7c8fe404abdd2d606ceb50fb08007250f5cc3bd022882","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2eef7362a0e6f3ec14b7c8fe404abdd2d606ceb50fb08007250f5cc3bd022882","first_computed_at":"2026-05-17T23:42:47.617293Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:47.617293Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GlB932x9WGzGBP+9tyI1hSnXL9GyK6R4w2Cpq1yzUTODpy5t+gWCp8oEm/DfNkNvg7mzzY+0KWPwXXTLt3d9Ag==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:47.617857Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.08866","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:68db64d5513fb06231b1eb2b05b39084af01e0eae7a4db785b84d6d0909cc006","sha256:92b5ef7a0a95efc31eb7c6256e3148c0a0c0e1a5e3d97f458e84a88a57eb876a"],"state_sha256":"d897d8d6bdb648e831758bdeaa24a05ecff5a89fe05cd73ad1b59bfdc4a55aca"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HlzHmBEpnOTYRsKVvNqcane4zSGLMf+J64BLwkw8jhpHoBP/tCj+6dweA4LfJa1GPUFUDvCdiAg+ovzHGFJ9Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T21:58:15.569295Z","bundle_sha256":"4ef9536e54dba7503c96aafeb8e12f71ef9e1409fa2ab6e3be5e8da549b7969b"}}