{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:T6YKWJ274P5RYGO56PVO4XBFJT","short_pith_number":"pith:T6YKWJ27","canonical_record":{"source":{"id":"2412.04246","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mes-hall","submitted_at":"2024-12-05T15:27:56Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"3eb39e2b2ebda24bb79ada01e05496bf8b13c701fcea19890dc0e7cf46aaae49","abstract_canon_sha256":"3beb9f8b2876093cf872feb38cee1fed70207606d9fd8aad683e4d8af90c04e5"},"schema_version":"1.0"},"canonical_sha256":"9fb0ab275fe3fb1c19ddf3eaee5c254ce6181cb719badca949feebbebc6ac44b","source":{"kind":"arxiv","id":"2412.04246","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.04246","created_at":"2026-07-05T10:07:46Z"},{"alias_kind":"arxiv_version","alias_value":"2412.04246v2","created_at":"2026-07-05T10:07:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.04246","created_at":"2026-07-05T10:07:46Z"},{"alias_kind":"pith_short_12","alias_value":"T6YKWJ274P5R","created_at":"2026-07-05T10:07:46Z"},{"alias_kind":"pith_short_16","alias_value":"T6YKWJ274P5RYGO5","created_at":"2026-07-05T10:07:46Z"},{"alias_kind":"pith_short_8","alias_value":"T6YKWJ27","created_at":"2026-07-05T10:07:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:T6YKWJ274P5RYGO56PVO4XBFJT","target":"record","payload":{"canonical_record":{"source":{"id":"2412.04246","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mes-hall","submitted_at":"2024-12-05T15:27:56Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"3eb39e2b2ebda24bb79ada01e05496bf8b13c701fcea19890dc0e7cf46aaae49","abstract_canon_sha256":"3beb9f8b2876093cf872feb38cee1fed70207606d9fd8aad683e4d8af90c04e5"},"schema_version":"1.0"},"canonical_sha256":"9fb0ab275fe3fb1c19ddf3eaee5c254ce6181cb719badca949feebbebc6ac44b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:07:46.869727Z","signature_b64":"F82AK+mPTcpBAwM29TfNRFgBdRdwqsIrSVO+nbA2/aFI75fKdfCmIMSLxtXhvY95xDxQ96HzrtvupcJFkK1dCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9fb0ab275fe3fb1c19ddf3eaee5c254ce6181cb719badca949feebbebc6ac44b","last_reissued_at":"2026-07-05T10:07:46.869224Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:07:46.869224Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.04246","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":"2026-07-05T10:07:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fgnC++bEtKlmPRX0+Vy5RnFNOpeMw0UvmieNZZNqMYNFoQVZpDzKkvk00QeOlPXnJbpgUAsk8WZ6UuHO2+EyCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T01:40:46.164704Z"},"content_sha256":"34b48603432f494ef87c9670bdfab4675c56271e6831705859564b0fb74524a4","schema_version":"1.0","event_id":"sha256:34b48603432f494ef87c9670bdfab4675c56271e6831705859564b0fb74524a4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:T6YKWJ274P5RYGO56PVO4XBFJT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Ternary Stochastic Neuron -- Implemented with a Single Strained Magnetostrictive Nanomagnet","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"cond-mat.mes-hall","authors_text":"Rahnuma Rahman, Supriyo Bandyopadhyay","submitted_at":"2024-12-05T15:27:56Z","abstract_excerpt":"Stochastic neurons are extremely efficient hardware for solving a large class of problems and usually come in two varieties -- \"binary\" where the neuronal statevaries randomly between two values of -1, +1 and \"analog\" where the neuronal state can randomly assume any value between -1 and +1. Both have their uses in neuromorphic computing and both can be implemented with low- or zero-energy-barrier nanomagnets whose random magnetization orientations in the presence of thermal noise encode the binary or analog state variables. In between these two classes is n-ary stochastic neurons, mainly terna"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.04246","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2412.04246/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":"2026-07-05T10:07:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Yr+gwLoVpAAI5phR6ilytXl8RWVbvZqQcck7qeW0DQ3GP9sAuEnAm4QnrpxrVUuJySyU9y7FhiC8cIkAaba0Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T01:40:46.165228Z"},"content_sha256":"af7f1571bac6481fc74a52a9b62a509c695db2c578cfa4591c29ec37d0232a2c","schema_version":"1.0","event_id":"sha256:af7f1571bac6481fc74a52a9b62a509c695db2c578cfa4591c29ec37d0232a2c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/T6YKWJ274P5RYGO56PVO4XBFJT/bundle.json","state_url":"https://pith.science/pith/T6YKWJ274P5RYGO56PVO4XBFJT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/T6YKWJ274P5RYGO56PVO4XBFJT/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":"2026-08-14T01:40:46Z","links":{"resolver":"https://pith.science/pith/T6YKWJ274P5RYGO56PVO4XBFJT","bundle":"https://pith.science/pith/T6YKWJ274P5RYGO56PVO4XBFJT/bundle.json","state":"https://pith.science/pith/T6YKWJ274P5RYGO56PVO4XBFJT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/T6YKWJ274P5RYGO56PVO4XBFJT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:T6YKWJ274P5RYGO56PVO4XBFJT","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":"3beb9f8b2876093cf872feb38cee1fed70207606d9fd8aad683e4d8af90c04e5","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mes-hall","submitted_at":"2024-12-05T15:27:56Z","title_canon_sha256":"3eb39e2b2ebda24bb79ada01e05496bf8b13c701fcea19890dc0e7cf46aaae49"},"schema_version":"1.0","source":{"id":"2412.04246","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.04246","created_at":"2026-07-05T10:07:46Z"},{"alias_kind":"arxiv_version","alias_value":"2412.04246v2","created_at":"2026-07-05T10:07:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.04246","created_at":"2026-07-05T10:07:46Z"},{"alias_kind":"pith_short_12","alias_value":"T6YKWJ274P5R","created_at":"2026-07-05T10:07:46Z"},{"alias_kind":"pith_short_16","alias_value":"T6YKWJ274P5RYGO5","created_at":"2026-07-05T10:07:46Z"},{"alias_kind":"pith_short_8","alias_value":"T6YKWJ27","created_at":"2026-07-05T10:07:46Z"}],"graph_snapshots":[{"event_id":"sha256:af7f1571bac6481fc74a52a9b62a509c695db2c578cfa4591c29ec37d0232a2c","target":"graph","created_at":"2026-07-05T10:07:46Z","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/2412.04246/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Stochastic neurons are extremely efficient hardware for solving a large class of problems and usually come in two varieties -- \"binary\" where the neuronal statevaries randomly between two values of -1, +1 and \"analog\" where the neuronal state can randomly assume any value between -1 and +1. Both have their uses in neuromorphic computing and both can be implemented with low- or zero-energy-barrier nanomagnets whose random magnetization orientations in the presence of thermal noise encode the binary or analog state variables. In between these two classes is n-ary stochastic neurons, mainly terna","authors_text":"Rahnuma Rahman, Supriyo Bandyopadhyay","cross_cats":["eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mes-hall","submitted_at":"2024-12-05T15:27:56Z","title":"Ternary Stochastic Neuron -- Implemented with a Single Strained Magnetostrictive Nanomagnet"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.04246","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":"sha256:34b48603432f494ef87c9670bdfab4675c56271e6831705859564b0fb74524a4","target":"record","created_at":"2026-07-05T10:07:46Z","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":"3beb9f8b2876093cf872feb38cee1fed70207606d9fd8aad683e4d8af90c04e5","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mes-hall","submitted_at":"2024-12-05T15:27:56Z","title_canon_sha256":"3eb39e2b2ebda24bb79ada01e05496bf8b13c701fcea19890dc0e7cf46aaae49"},"schema_version":"1.0","source":{"id":"2412.04246","kind":"arxiv","version":2}},"canonical_sha256":"9fb0ab275fe3fb1c19ddf3eaee5c254ce6181cb719badca949feebbebc6ac44b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9fb0ab275fe3fb1c19ddf3eaee5c254ce6181cb719badca949feebbebc6ac44b","first_computed_at":"2026-07-05T10:07:46.869224Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:07:46.869224Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F82AK+mPTcpBAwM29TfNRFgBdRdwqsIrSVO+nbA2/aFI75fKdfCmIMSLxtXhvY95xDxQ96HzrtvupcJFkK1dCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:07:46.869727Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.04246","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:34b48603432f494ef87c9670bdfab4675c56271e6831705859564b0fb74524a4","sha256:af7f1571bac6481fc74a52a9b62a509c695db2c578cfa4591c29ec37d0232a2c"],"state_sha256":"f6a2ffcec2f515d09153b5167e66cde8781d9ec1e61c2cc6776924578a03e190"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BU23bjd2GFHKYyLFlMBs/P4hhLg32e5TyR9+gqGyU2TOF5Ni99iw7Jvup/nL7khkfFC2JT0qxfRG9fxkiJcUAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T01:40:46.171685Z","bundle_sha256":"93c430a72751df03c48d28f5e6affa0ff3e55e9531fd6c10ad164c0e23091e4a"}}