{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:LVR7SGZRXER6DDDNULK6ZDLAOX","short_pith_number":"pith:LVR7SGZR","canonical_record":{"source":{"id":"2311.05820","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-11-10T01:34:18Z","cross_cats_sorted":[],"title_canon_sha256":"d9951ef6ff4b88fe9f788cedeaa999f03e391346cec4dd7ed7149e967281eaf4","abstract_canon_sha256":"bdd8ea743feda275d792ff4089f4519356c4ab80dc90dcefc32c0d188b537822"},"schema_version":"1.0"},"canonical_sha256":"5d63f91b31b923e18c6da2d5ec8d6075efb8ea84ed0c82e20f658848f7f42c15","source":{"kind":"arxiv","id":"2311.05820","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.05820","created_at":"2026-07-05T07:11:23Z"},{"alias_kind":"arxiv_version","alias_value":"2311.05820v1","created_at":"2026-07-05T07:11:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.05820","created_at":"2026-07-05T07:11:23Z"},{"alias_kind":"pith_short_12","alias_value":"LVR7SGZRXER6","created_at":"2026-07-05T07:11:23Z"},{"alias_kind":"pith_short_16","alias_value":"LVR7SGZRXER6DDDN","created_at":"2026-07-05T07:11:23Z"},{"alias_kind":"pith_short_8","alias_value":"LVR7SGZR","created_at":"2026-07-05T07:11:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:LVR7SGZRXER6DDDNULK6ZDLAOX","target":"record","payload":{"canonical_record":{"source":{"id":"2311.05820","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-11-10T01:34:18Z","cross_cats_sorted":[],"title_canon_sha256":"d9951ef6ff4b88fe9f788cedeaa999f03e391346cec4dd7ed7149e967281eaf4","abstract_canon_sha256":"bdd8ea743feda275d792ff4089f4519356c4ab80dc90dcefc32c0d188b537822"},"schema_version":"1.0"},"canonical_sha256":"5d63f91b31b923e18c6da2d5ec8d6075efb8ea84ed0c82e20f658848f7f42c15","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:11:23.312786Z","signature_b64":"4X9UfnaVySzdeMhYjx7bQSldrW8MYa33QYXUXvAn/8csNYXKtlhITBzADfDhQY+0QGuP1ZWgFEumrdW8EVUIBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5d63f91b31b923e18c6da2d5ec8d6075efb8ea84ed0c82e20f658848f7f42c15","last_reissued_at":"2026-07-05T07:11:23.312428Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:11:23.312428Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.05820","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":"2026-07-05T07:11:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SOTryyVJpXcE7474M/hSOePRFigfSLJzqzN7s3BbZz4Igdj+r2QzG6n4UeyP0L9yKVkKgsxJLcgjo5MW0aZfCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:40:47.922102Z"},"content_sha256":"c87c6251c27b99dc09265821f0e695cd4aaa874665aae73f06e3ba1d34fe5c6c","schema_version":"1.0","event_id":"sha256:c87c6251c27b99dc09265821f0e695cd4aaa874665aae73f06e3ba1d34fe5c6c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:LVR7SGZRXER6DDDNULK6ZDLAOX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Machine Learning-powered Compact Modeling of Stochastic Electronic Devices using Mixture Density Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Adam N. McCaughan, Ahmedullah Aziz, Bakhrom G. Oripov, Dana S. Rampini, Jack Hutchins, Shamiul Alam","submitted_at":"2023-11-10T01:34:18Z","abstract_excerpt":"The relentless pursuit of miniaturization and performance enhancement in electronic devices has led to a fundamental challenge in the field of circuit design and simulation: how to accurately account for the inherent stochastic nature of certain devices. While conventional deterministic models have served as indispensable tools for circuit designers, they fall short when it comes to capture the subtle yet critical variability exhibited by many electronic components. In this paper, we present an innovative approach that transcends the limitations of traditional modeling techniques by harnessing"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.05820","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/2311.05820/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:11:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BZmplAlqBlfOQDLDc7o/w7Md0zvweLx1UBjBgOBwHglc2zAIF7UJJO+XCyyRwQSsuMCG2dfn/IHU8kABfmy8DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:40:47.922519Z"},"content_sha256":"01c5e819e7d1eb8fdc289f367e20b38de6ca25c1b16549adf5810b15a37f0903","schema_version":"1.0","event_id":"sha256:01c5e819e7d1eb8fdc289f367e20b38de6ca25c1b16549adf5810b15a37f0903"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LVR7SGZRXER6DDDNULK6ZDLAOX/bundle.json","state_url":"https://pith.science/pith/LVR7SGZRXER6DDDNULK6ZDLAOX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LVR7SGZRXER6DDDNULK6ZDLAOX/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":"2026-07-07T15:40:47Z","links":{"resolver":"https://pith.science/pith/LVR7SGZRXER6DDDNULK6ZDLAOX","bundle":"https://pith.science/pith/LVR7SGZRXER6DDDNULK6ZDLAOX/bundle.json","state":"https://pith.science/pith/LVR7SGZRXER6DDDNULK6ZDLAOX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LVR7SGZRXER6DDDNULK6ZDLAOX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:LVR7SGZRXER6DDDNULK6ZDLAOX","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":"bdd8ea743feda275d792ff4089f4519356c4ab80dc90dcefc32c0d188b537822","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-11-10T01:34:18Z","title_canon_sha256":"d9951ef6ff4b88fe9f788cedeaa999f03e391346cec4dd7ed7149e967281eaf4"},"schema_version":"1.0","source":{"id":"2311.05820","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.05820","created_at":"2026-07-05T07:11:23Z"},{"alias_kind":"arxiv_version","alias_value":"2311.05820v1","created_at":"2026-07-05T07:11:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.05820","created_at":"2026-07-05T07:11:23Z"},{"alias_kind":"pith_short_12","alias_value":"LVR7SGZRXER6","created_at":"2026-07-05T07:11:23Z"},{"alias_kind":"pith_short_16","alias_value":"LVR7SGZRXER6DDDN","created_at":"2026-07-05T07:11:23Z"},{"alias_kind":"pith_short_8","alias_value":"LVR7SGZR","created_at":"2026-07-05T07:11:23Z"}],"graph_snapshots":[{"event_id":"sha256:01c5e819e7d1eb8fdc289f367e20b38de6ca25c1b16549adf5810b15a37f0903","target":"graph","created_at":"2026-07-05T07:11:23Z","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/2311.05820/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The relentless pursuit of miniaturization and performance enhancement in electronic devices has led to a fundamental challenge in the field of circuit design and simulation: how to accurately account for the inherent stochastic nature of certain devices. While conventional deterministic models have served as indispensable tools for circuit designers, they fall short when it comes to capture the subtle yet critical variability exhibited by many electronic components. In this paper, we present an innovative approach that transcends the limitations of traditional modeling techniques by harnessing","authors_text":"Adam N. McCaughan, Ahmedullah Aziz, Bakhrom G. Oripov, Dana S. Rampini, Jack Hutchins, Shamiul Alam","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-11-10T01:34:18Z","title":"Machine Learning-powered Compact Modeling of Stochastic Electronic Devices using Mixture Density Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.05820","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:c87c6251c27b99dc09265821f0e695cd4aaa874665aae73f06e3ba1d34fe5c6c","target":"record","created_at":"2026-07-05T07:11:23Z","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":"bdd8ea743feda275d792ff4089f4519356c4ab80dc90dcefc32c0d188b537822","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-11-10T01:34:18Z","title_canon_sha256":"d9951ef6ff4b88fe9f788cedeaa999f03e391346cec4dd7ed7149e967281eaf4"},"schema_version":"1.0","source":{"id":"2311.05820","kind":"arxiv","version":1}},"canonical_sha256":"5d63f91b31b923e18c6da2d5ec8d6075efb8ea84ed0c82e20f658848f7f42c15","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5d63f91b31b923e18c6da2d5ec8d6075efb8ea84ed0c82e20f658848f7f42c15","first_computed_at":"2026-07-05T07:11:23.312428Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:11:23.312428Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4X9UfnaVySzdeMhYjx7bQSldrW8MYa33QYXUXvAn/8csNYXKtlhITBzADfDhQY+0QGuP1ZWgFEumrdW8EVUIBA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:11:23.312786Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.05820","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c87c6251c27b99dc09265821f0e695cd4aaa874665aae73f06e3ba1d34fe5c6c","sha256:01c5e819e7d1eb8fdc289f367e20b38de6ca25c1b16549adf5810b15a37f0903"],"state_sha256":"f6b6e20d69dd0e83a55db70d7ab56e4f8dd8d05a1113ccc2765a761f3a64e11d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cAXMC1BWmGGbSovwsdRu66qrLhScs+q9xD9POKB92BXK20+tBuUtmAqVPpdByRMUbmwS+qf9WHJGx922+L54Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T15:40:47.924597Z","bundle_sha256":"0144be091bc8345c41e08ab31fa130e73de711372f6503094c23e8780d9d3842"}}