{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:QJLRWSHW6U5C6K7GDIES6BNFDF","short_pith_number":"pith:QJLRWSHW","canonical_record":{"source":{"id":"1709.06614","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2017-09-19T19:09:16Z","cross_cats_sorted":["cs.AR","cs.LG"],"title_canon_sha256":"4c07e1bea1400838de49b86d601e9d622fb759482d1dc0586f1e0392dec61516","abstract_canon_sha256":"23775a7ad8dc76d5dec5cf4376ddbf2fb204db684489f59347af6b6f2e9a4bf4"},"schema_version":"1.0"},"canonical_sha256":"82571b48f6f53a2f2be61a092f05a5195759441247cfa605baa2a1f0b47db045","source":{"kind":"arxiv","id":"1709.06614","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.06614","created_at":"2026-05-18T00:08:31Z"},{"alias_kind":"arxiv_version","alias_value":"1709.06614v4","created_at":"2026-05-18T00:08:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.06614","created_at":"2026-05-18T00:08:31Z"},{"alias_kind":"pith_short_12","alias_value":"QJLRWSHW6U5C","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"QJLRWSHW6U5C6K7G","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"QJLRWSHW","created_at":"2026-05-18T12:31:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:QJLRWSHW6U5C6K7GDIES6BNFDF","target":"record","payload":{"canonical_record":{"source":{"id":"1709.06614","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2017-09-19T19:09:16Z","cross_cats_sorted":["cs.AR","cs.LG"],"title_canon_sha256":"4c07e1bea1400838de49b86d601e9d622fb759482d1dc0586f1e0392dec61516","abstract_canon_sha256":"23775a7ad8dc76d5dec5cf4376ddbf2fb204db684489f59347af6b6f2e9a4bf4"},"schema_version":"1.0"},"canonical_sha256":"82571b48f6f53a2f2be61a092f05a5195759441247cfa605baa2a1f0b47db045","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:08:31.385215Z","signature_b64":"n9jibur5Ze6auafUQbeBIIh8AItRiD4Y4udtO6OoRi1ekPzUwZaL10svdeVO6DJxdywGg7FmgyWiYyFD1GLjBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"82571b48f6f53a2f2be61a092f05a5195759441247cfa605baa2a1f0b47db045","last_reissued_at":"2026-05-18T00:08:31.384617Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:08:31.384617Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1709.06614","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:08:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bajgzqVgMUaMessfV0bPwBfK4hS762lzMSa3UAzJ7ft3nal4cO538CWK6XPe3875AlKqUjmxmuNvwpPE0xpKDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T08:04:36.696280Z"},"content_sha256":"45b479771a34646d061b4a96c1b6125fd2425adae7db4ddddd9c5e900dbb871f","schema_version":"1.0","event_id":"sha256:45b479771a34646d061b4a96c1b6125fd2425adae7db4ddddd9c5e900dbb871f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:QJLRWSHW6U5C6K7GDIES6BNFDF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Analog Neural Network Computing Engine using CMOS-Compatible Charge-Trap-Transistor (CTT)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AR","cs.LG"],"primary_cat":"cs.ET","authors_text":"Boyu Hu, Jieqiong Du, Junjie Su, Li Du, Mau-Chung Frank Chang, Mingzhe Jiang, Subramanian S. Iyer, Xiaoliang Chen, X. Shawn Wang, Xuefeng Gu, Yuan Du","submitted_at":"2017-09-19T19:09:16Z","abstract_excerpt":"An analog neural network computing engine based on CMOS-compatible charge-trap transistor (CTT) is proposed in this paper. CTT devices are used as analog multipliers. Compared to digital multipliers, CTT-based analog multiplier shows significant area and power reduction. The proposed computing engine is composed of a scalable CTT multiplier array and energy efficient analog-digital interfaces. Through implementing the sequential analog fabric (SAF), the engine mixed-signal interfaces are simplified and hardware overhead remains constant regardless of the size of the array. A proof-of-concept 7"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.06614","kind":"arxiv","version":4},"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":"2026-05-18T00:08:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7Pxvw9S5BLJsE7SOeUuICwa/z7RdQzF5HniBIjHBYfa/phiajO3vYZfWK7NZSopemJhVGvplCyWaRtrA3DipCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T08:04:36.696649Z"},"content_sha256":"bce0690f51c64c20fc1706d239361c0fd885211ac16075085d595e5711e2de97","schema_version":"1.0","event_id":"sha256:bce0690f51c64c20fc1706d239361c0fd885211ac16075085d595e5711e2de97"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QJLRWSHW6U5C6K7GDIES6BNFDF/bundle.json","state_url":"https://pith.science/pith/QJLRWSHW6U5C6K7GDIES6BNFDF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QJLRWSHW6U5C6K7GDIES6BNFDF/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":"2026-06-27T08:04:36Z","links":{"resolver":"https://pith.science/pith/QJLRWSHW6U5C6K7GDIES6BNFDF","bundle":"https://pith.science/pith/QJLRWSHW6U5C6K7GDIES6BNFDF/bundle.json","state":"https://pith.science/pith/QJLRWSHW6U5C6K7GDIES6BNFDF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QJLRWSHW6U5C6K7GDIES6BNFDF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:QJLRWSHW6U5C6K7GDIES6BNFDF","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":"23775a7ad8dc76d5dec5cf4376ddbf2fb204db684489f59347af6b6f2e9a4bf4","cross_cats_sorted":["cs.AR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2017-09-19T19:09:16Z","title_canon_sha256":"4c07e1bea1400838de49b86d601e9d622fb759482d1dc0586f1e0392dec61516"},"schema_version":"1.0","source":{"id":"1709.06614","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.06614","created_at":"2026-05-18T00:08:31Z"},{"alias_kind":"arxiv_version","alias_value":"1709.06614v4","created_at":"2026-05-18T00:08:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.06614","created_at":"2026-05-18T00:08:31Z"},{"alias_kind":"pith_short_12","alias_value":"QJLRWSHW6U5C","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"QJLRWSHW6U5C6K7G","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"QJLRWSHW","created_at":"2026-05-18T12:31:39Z"}],"graph_snapshots":[{"event_id":"sha256:bce0690f51c64c20fc1706d239361c0fd885211ac16075085d595e5711e2de97","target":"graph","created_at":"2026-05-18T00:08:31Z","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":"An analog neural network computing engine based on CMOS-compatible charge-trap transistor (CTT) is proposed in this paper. CTT devices are used as analog multipliers. Compared to digital multipliers, CTT-based analog multiplier shows significant area and power reduction. The proposed computing engine is composed of a scalable CTT multiplier array and energy efficient analog-digital interfaces. Through implementing the sequential analog fabric (SAF), the engine mixed-signal interfaces are simplified and hardware overhead remains constant regardless of the size of the array. A proof-of-concept 7","authors_text":"Boyu Hu, Jieqiong Du, Junjie Su, Li Du, Mau-Chung Frank Chang, Mingzhe Jiang, Subramanian S. Iyer, Xiaoliang Chen, X. Shawn Wang, Xuefeng Gu, Yuan Du","cross_cats":["cs.AR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2017-09-19T19:09:16Z","title":"An Analog Neural Network Computing Engine using CMOS-Compatible Charge-Trap-Transistor (CTT)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.06614","kind":"arxiv","version":4},"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":"sha256:45b479771a34646d061b4a96c1b6125fd2425adae7db4ddddd9c5e900dbb871f","target":"record","created_at":"2026-05-18T00:08:31Z","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":"23775a7ad8dc76d5dec5cf4376ddbf2fb204db684489f59347af6b6f2e9a4bf4","cross_cats_sorted":["cs.AR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2017-09-19T19:09:16Z","title_canon_sha256":"4c07e1bea1400838de49b86d601e9d622fb759482d1dc0586f1e0392dec61516"},"schema_version":"1.0","source":{"id":"1709.06614","kind":"arxiv","version":4}},"canonical_sha256":"82571b48f6f53a2f2be61a092f05a5195759441247cfa605baa2a1f0b47db045","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"82571b48f6f53a2f2be61a092f05a5195759441247cfa605baa2a1f0b47db045","first_computed_at":"2026-05-18T00:08:31.384617Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:08:31.384617Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"n9jibur5Ze6auafUQbeBIIh8AItRiD4Y4udtO6OoRi1ekPzUwZaL10svdeVO6DJxdywGg7FmgyWiYyFD1GLjBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:08:31.385215Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.06614","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:45b479771a34646d061b4a96c1b6125fd2425adae7db4ddddd9c5e900dbb871f","sha256:bce0690f51c64c20fc1706d239361c0fd885211ac16075085d595e5711e2de97"],"state_sha256":"8458939e67de3a67c23c39122da29ffb445fae8651adb1e76c4caa11e1d2bb1f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M36H/7Al2eLUuIY4Bs5LwiLP/ZdR1//0Z53vr/S2Ai7QI3R7WGVcSnZVDR53V5TxYEVLF4S+oAbBkiHMNC3cDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-27T08:04:36.698542Z","bundle_sha256":"5d362cc0102462994b68247f6a71d5561a3b37ee0ce7ea3b7177e181ce0b8210"}}