{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:C2XOFXEZVX2ZUBXHPPPM2LO553","short_pith_number":"pith:C2XOFXEZ","canonical_record":{"source":{"id":"1902.05971","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2019-02-15T19:23:30Z","cross_cats_sorted":[],"title_canon_sha256":"84a0d7b5f6f51bdd94b75dc741831c2312a1b6a484aee8f1c2392ff417f29f04","abstract_canon_sha256":"4e3ff6dbba3cc51f0e6cbc46ac5336a760b80be23f8a33e1a480fcc5db2c8a17"},"schema_version":"1.0"},"canonical_sha256":"16aee2dc99adf59a06e77bdecd2dddeee5be91fd52b715c3e7c53f9225668467","source":{"kind":"arxiv","id":"1902.05971","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.05971","created_at":"2026-05-17T23:52:31Z"},{"alias_kind":"arxiv_version","alias_value":"1902.05971v2","created_at":"2026-05-17T23:52:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.05971","created_at":"2026-05-17T23:52:31Z"},{"alias_kind":"pith_short_12","alias_value":"C2XOFXEZVX2Z","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"C2XOFXEZVX2ZUBXH","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"C2XOFXEZ","created_at":"2026-05-18T12:33:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:C2XOFXEZVX2ZUBXHPPPM2LO553","target":"record","payload":{"canonical_record":{"source":{"id":"1902.05971","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2019-02-15T19:23:30Z","cross_cats_sorted":[],"title_canon_sha256":"84a0d7b5f6f51bdd94b75dc741831c2312a1b6a484aee8f1c2392ff417f29f04","abstract_canon_sha256":"4e3ff6dbba3cc51f0e6cbc46ac5336a760b80be23f8a33e1a480fcc5db2c8a17"},"schema_version":"1.0"},"canonical_sha256":"16aee2dc99adf59a06e77bdecd2dddeee5be91fd52b715c3e7c53f9225668467","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:52:31.756313Z","signature_b64":"+nM5mBtQOC1DfsgIsbVfSHhGHqAYfxJX/1aLUWPOAw32Hlp6XQQLSfosuonoeMOjnNeVLbQjUTI+FI7Z6298Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"16aee2dc99adf59a06e77bdecd2dddeee5be91fd52b715c3e7c53f9225668467","last_reissued_at":"2026-05-17T23:52:31.755748Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:52:31.755748Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1902.05971","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:52:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T4VrDPxGKeNqnmgJ/1Csxqu1HeSzrI64hbASDdVIuwIoV75kozGbvvsiyw2I3EWCaDio4y6KDuLybB13i3GICw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T22:37:32.686727Z"},"content_sha256":"f9b43c7bea9dfb966226a111e2ce8b008754d5239d880a3c147e126f3c876320","schema_version":"1.0","event_id":"sha256:f9b43c7bea9dfb966226a111e2ce8b008754d5239d880a3c147e126f3c876320"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:C2XOFXEZVX2ZUBXHPPPM2LO553","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Synthesizing Number Generators for Stochastic Computing using Mixed Integer Programming","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.ET","authors_text":"Armin Alaghi, Luis Ceze, Samuel Archibald Elliot, Vincent T. Lee","submitted_at":"2019-02-15T19:23:30Z","abstract_excerpt":"Stochastic computing (SC) is a high density, low-power computation technique which encodes values as unary bitstreams instead of binary-encoded (BE) values. Practical SC implementations require deterministic or pseudo-random number sequences which are optimally correlated to generate bitstreams and achieve accurate results. Unfortunately, the size of the search space makes manually designing optimally correlated number sequences a difficult task. To automate this design burden, we propose a synthesis formulation using mixed integer programming to automatically generate optimally correlated num"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.05971","kind":"arxiv","version":2},"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":"2026-05-17T23:52:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2YNSVylCOmCZMCdjui0pcjiOa9tzwwt1Aos2FEyUaYJxrZmamSKXn7Ssbi40j0qK/mMPWVfzCz0foltN8cLYAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T22:37:32.687080Z"},"content_sha256":"302da6c63309f064649fc3cb703788881f446d2a44c0d4a27a69e87d8ab3b657","schema_version":"1.0","event_id":"sha256:302da6c63309f064649fc3cb703788881f446d2a44c0d4a27a69e87d8ab3b657"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C2XOFXEZVX2ZUBXHPPPM2LO553/bundle.json","state_url":"https://pith.science/pith/C2XOFXEZVX2ZUBXHPPPM2LO553/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C2XOFXEZVX2ZUBXHPPPM2LO553/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":"2026-06-03T22:37:32Z","links":{"resolver":"https://pith.science/pith/C2XOFXEZVX2ZUBXHPPPM2LO553","bundle":"https://pith.science/pith/C2XOFXEZVX2ZUBXHPPPM2LO553/bundle.json","state":"https://pith.science/pith/C2XOFXEZVX2ZUBXHPPPM2LO553/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C2XOFXEZVX2ZUBXHPPPM2LO553/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:C2XOFXEZVX2ZUBXHPPPM2LO553","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":"4e3ff6dbba3cc51f0e6cbc46ac5336a760b80be23f8a33e1a480fcc5db2c8a17","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2019-02-15T19:23:30Z","title_canon_sha256":"84a0d7b5f6f51bdd94b75dc741831c2312a1b6a484aee8f1c2392ff417f29f04"},"schema_version":"1.0","source":{"id":"1902.05971","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.05971","created_at":"2026-05-17T23:52:31Z"},{"alias_kind":"arxiv_version","alias_value":"1902.05971v2","created_at":"2026-05-17T23:52:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.05971","created_at":"2026-05-17T23:52:31Z"},{"alias_kind":"pith_short_12","alias_value":"C2XOFXEZVX2Z","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"C2XOFXEZVX2ZUBXH","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"C2XOFXEZ","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:302da6c63309f064649fc3cb703788881f446d2a44c0d4a27a69e87d8ab3b657","target":"graph","created_at":"2026-05-17T23:52:31Z","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":"Stochastic computing (SC) is a high density, low-power computation technique which encodes values as unary bitstreams instead of binary-encoded (BE) values. Practical SC implementations require deterministic or pseudo-random number sequences which are optimally correlated to generate bitstreams and achieve accurate results. Unfortunately, the size of the search space makes manually designing optimally correlated number sequences a difficult task. To automate this design burden, we propose a synthesis formulation using mixed integer programming to automatically generate optimally correlated num","authors_text":"Armin Alaghi, Luis Ceze, Samuel Archibald Elliot, Vincent T. Lee","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2019-02-15T19:23:30Z","title":"Synthesizing Number Generators for Stochastic Computing using Mixed Integer Programming"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.05971","kind":"arxiv","version":2},"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:f9b43c7bea9dfb966226a111e2ce8b008754d5239d880a3c147e126f3c876320","target":"record","created_at":"2026-05-17T23:52:31Z","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":"4e3ff6dbba3cc51f0e6cbc46ac5336a760b80be23f8a33e1a480fcc5db2c8a17","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2019-02-15T19:23:30Z","title_canon_sha256":"84a0d7b5f6f51bdd94b75dc741831c2312a1b6a484aee8f1c2392ff417f29f04"},"schema_version":"1.0","source":{"id":"1902.05971","kind":"arxiv","version":2}},"canonical_sha256":"16aee2dc99adf59a06e77bdecd2dddeee5be91fd52b715c3e7c53f9225668467","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"16aee2dc99adf59a06e77bdecd2dddeee5be91fd52b715c3e7c53f9225668467","first_computed_at":"2026-05-17T23:52:31.755748Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:52:31.755748Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+nM5mBtQOC1DfsgIsbVfSHhGHqAYfxJX/1aLUWPOAw32Hlp6XQQLSfosuonoeMOjnNeVLbQjUTI+FI7Z6298Bg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:52:31.756313Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.05971","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f9b43c7bea9dfb966226a111e2ce8b008754d5239d880a3c147e126f3c876320","sha256:302da6c63309f064649fc3cb703788881f446d2a44c0d4a27a69e87d8ab3b657"],"state_sha256":"9a24855a57cf780ebd9fbae0e1754a0124483cf9d189a067a9242bdb3fdb9dd6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1Z568p7G2pmaM1aR75hn6qK2P65Gw+iDZNcilaoaMRYtXo3pk0zRFO3SdJhJ1xUHc/b067rcSORCRVy/xDqGDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T22:37:32.689058Z","bundle_sha256":"e4680576845793339fb8ffa378adb9847d70ac7d98a56b0ed6912709ad7933c7"}}