{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:PVJTHX3X7FCEJWWTHFAAJKFIWA","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":"47f581895b144320da42a94ca4ea6d4e0965908b6daa4172770e52a299350ab5","cross_cats_sorted":["cs.AR","cs.ET","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2019-12-24T20:24:32Z","title_canon_sha256":"ea6d50e4e96bc024bf9c7b41cf5b3de841f6edfadd21ec706bd69529578cfe52"},"schema_version":"1.0","source":{"id":"1912.11516","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.11516","created_at":"2026-07-05T00:28:26Z"},{"alias_kind":"arxiv_version","alias_value":"1912.11516v1","created_at":"2026-07-05T00:28:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.11516","created_at":"2026-07-05T00:28:26Z"},{"alias_kind":"pith_short_12","alias_value":"PVJTHX3X7FCE","created_at":"2026-07-05T00:28:26Z"},{"alias_kind":"pith_short_16","alias_value":"PVJTHX3X7FCEJWWT","created_at":"2026-07-05T00:28:26Z"},{"alias_kind":"pith_short_8","alias_value":"PVJTHX3X","created_at":"2026-07-05T00:28:26Z"}],"graph_snapshots":[{"event_id":"sha256:b6984ee92fbe18d1686ec3896efc2c252d97247872a639afb4d3d6d02032fa08","target":"graph","created_at":"2026-07-05T00:28:26Z","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/1912.11516/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The wide adoption of deep neural networks has been accompanied by ever-increasing energy and performance demands due to the expensive nature of training them. Numerous special-purpose architectures have been proposed to accelerate training: both digital and hybrid digital-analog using resistive RAM (ReRAM) crossbars. ReRAM-based accelerators have demonstrated the effectiveness of ReRAM crossbars at performing matrix-vector multiplication operations that are prevalent in training. However, they still suffer from inefficiency due to the use of serial reads and writes for performing the weight gr","authors_text":"Aayush Ankit, Dejan Milojicic, Izzat El Hajj, John Paul Strachan, Kaushik Roy, Martin Foltin, Matthew Marinella, Sai Rahul Chalamalasetti, Sapan Agarwal, Wen-Mei Hwu","cross_cats":["cs.AR","cs.ET","eess.SP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2019-12-24T20:24:32Z","title":"PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.11516","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":"sha256:96538c12b0cc855af43da698bd909d430664b4ef34ee9f183fd8674391d45ae1","target":"record","created_at":"2026-07-05T00:28:26Z","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":"47f581895b144320da42a94ca4ea6d4e0965908b6daa4172770e52a299350ab5","cross_cats_sorted":["cs.AR","cs.ET","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2019-12-24T20:24:32Z","title_canon_sha256":"ea6d50e4e96bc024bf9c7b41cf5b3de841f6edfadd21ec706bd69529578cfe52"},"schema_version":"1.0","source":{"id":"1912.11516","kind":"arxiv","version":1}},"canonical_sha256":"7d5333df77f94444dad3394004a8a8b00a4fe33fde04b7d396809f404f594a81","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7d5333df77f94444dad3394004a8a8b00a4fe33fde04b7d396809f404f594a81","first_computed_at":"2026-07-05T00:28:26.589201Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:28:26.589201Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6esqS9Sre/3Stdq9MgnDDeAi/eN1D4QCnEUFNcX8M6gA5UFBYVtMUgiK19xS15eqVkxmOteFM0nicIQ3Vj3JDA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:28:26.589736Z","signed_message":"canonical_sha256_bytes"},"source_id":"1912.11516","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:96538c12b0cc855af43da698bd909d430664b4ef34ee9f183fd8674391d45ae1","sha256:b6984ee92fbe18d1686ec3896efc2c252d97247872a639afb4d3d6d02032fa08"],"state_sha256":"16928b18f75f2a342ace7fb2089e7cb2466723af6fcbc2d5b09d880f83c035fe"}