{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:74CKWMZFN3SENQX2AR2SWOW43M","short_pith_number":"pith:74CKWMZF","schema_version":"1.0","canonical_sha256":"ff04ab33256ee446c2fa04752b3adcdb3025a45c7bdeb49082bf928350ff8f38","source":{"kind":"arxiv","id":"2106.09144","version":1},"attestation_state":"computed","paper":{"title":"FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.ET","cs.LG"],"primary_cat":"cs.AR","authors_text":"Ali Shafiee, Caiwen Ding, Geng Yuan, Hang Liu, Mahdi Nazm Bojnordi, Payman Behnam, Sheng Lin, Xiaolong Ma, Xuehai Qian, Yanzhi Wang, Zhengang Li","submitted_at":"2021-06-16T21:42:08Z","abstract_excerpt":"Recent works demonstrated the promise of using resistive random access memory (ReRAM) as an emerging technology to perform inherently parallel analog domain in-situ matrix-vector multiplication -- the intensive and key computation in DNNs. With weights stored in the ReRAM crossbar cells as conductance, when the input vector is applied to word lines, the matrix-vector multiplication results can be generated as the current in bit lines. A key problem is that the weight can be either positive or negative, but the in-situ computation assumes all cells on each crossbar column with the same sign. Th"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2106.09144","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2021-06-16T21:42:08Z","cross_cats_sorted":["cs.ET","cs.LG"],"title_canon_sha256":"8209ed3186e21a7f75a68c9638183541460b3780c849b1b68d7025093ad671df","abstract_canon_sha256":"741fd35717b996a77bdf8540c1597e59bc80e6126ad0d8af9b406bb819306ad5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:50:12.838770Z","signature_b64":"TQVDc5psyqjUgwJ+LfcVjC/A119uGpRytjZQknlgiJM57+bxvVddqDRRz09b9T/a0WUDVOJQuM1IY+3Q2H9kAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ff04ab33256ee446c2fa04752b3adcdb3025a45c7bdeb49082bf928350ff8f38","last_reissued_at":"2026-07-05T02:50:12.838398Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:50:12.838398Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.ET","cs.LG"],"primary_cat":"cs.AR","authors_text":"Ali Shafiee, Caiwen Ding, Geng Yuan, Hang Liu, Mahdi Nazm Bojnordi, Payman Behnam, Sheng Lin, Xiaolong Ma, Xuehai Qian, Yanzhi Wang, Zhengang Li","submitted_at":"2021-06-16T21:42:08Z","abstract_excerpt":"Recent works demonstrated the promise of using resistive random access memory (ReRAM) as an emerging technology to perform inherently parallel analog domain in-situ matrix-vector multiplication -- the intensive and key computation in DNNs. With weights stored in the ReRAM crossbar cells as conductance, when the input vector is applied to word lines, the matrix-vector multiplication results can be generated as the current in bit lines. A key problem is that the weight can be either positive or negative, but the in-situ computation assumes all cells on each crossbar column with the same sign. Th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.09144","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/2106.09144/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2106.09144","created_at":"2026-07-05T02:50:12.838457+00:00"},{"alias_kind":"arxiv_version","alias_value":"2106.09144v1","created_at":"2026-07-05T02:50:12.838457+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.09144","created_at":"2026-07-05T02:50:12.838457+00:00"},{"alias_kind":"pith_short_12","alias_value":"74CKWMZFN3SE","created_at":"2026-07-05T02:50:12.838457+00:00"},{"alias_kind":"pith_short_16","alias_value":"74CKWMZFN3SENQX2","created_at":"2026-07-05T02:50:12.838457+00:00"},{"alias_kind":"pith_short_8","alias_value":"74CKWMZF","created_at":"2026-07-05T02:50:12.838457+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/74CKWMZFN3SENQX2AR2SWOW43M","json":"https://pith.science/pith/74CKWMZFN3SENQX2AR2SWOW43M.json","graph_json":"https://pith.science/api/pith-number/74CKWMZFN3SENQX2AR2SWOW43M/graph.json","events_json":"https://pith.science/api/pith-number/74CKWMZFN3SENQX2AR2SWOW43M/events.json","paper":"https://pith.science/paper/74CKWMZF"},"agent_actions":{"view_html":"https://pith.science/pith/74CKWMZFN3SENQX2AR2SWOW43M","download_json":"https://pith.science/pith/74CKWMZFN3SENQX2AR2SWOW43M.json","view_paper":"https://pith.science/paper/74CKWMZF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2106.09144&json=true","fetch_graph":"https://pith.science/api/pith-number/74CKWMZFN3SENQX2AR2SWOW43M/graph.json","fetch_events":"https://pith.science/api/pith-number/74CKWMZFN3SENQX2AR2SWOW43M/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/74CKWMZFN3SENQX2AR2SWOW43M/action/timestamp_anchor","attest_storage":"https://pith.science/pith/74CKWMZFN3SENQX2AR2SWOW43M/action/storage_attestation","attest_author":"https://pith.science/pith/74CKWMZFN3SENQX2AR2SWOW43M/action/author_attestation","sign_citation":"https://pith.science/pith/74CKWMZFN3SENQX2AR2SWOW43M/action/citation_signature","submit_replication":"https://pith.science/pith/74CKWMZFN3SENQX2AR2SWOW43M/action/replication_record"}},"created_at":"2026-07-05T02:50:12.838457+00:00","updated_at":"2026-07-05T02:50:12.838457+00:00"}