{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:HJGJ4HNXMC4MWVTFTFUPIM3OBK","short_pith_number":"pith:HJGJ4HNX","canonical_record":{"source":{"id":"1709.02727","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.supr-con","submitted_at":"2017-09-08T14:55:02Z","cross_cats_sorted":["cond-mat.str-el","stat.ML"],"title_canon_sha256":"dae0e007b9dfeeaf6672ffae19adfdc2b2564c09a2f6a236db9f2bb9c919b891","abstract_canon_sha256":"33e7ea05f479089e6b94a245e6ce0e4f4d3ccfc1c9dda2729c6b715c2648941d"},"schema_version":"1.0"},"canonical_sha256":"3a4c9e1db760b8cb56659968f4336e0abe32f1508688afad948905e4f8a7c7ab","source":{"kind":"arxiv","id":"1709.02727","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.02727","created_at":"2026-05-18T00:07:21Z"},{"alias_kind":"arxiv_version","alias_value":"1709.02727v2","created_at":"2026-05-18T00:07:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.02727","created_at":"2026-05-18T00:07:21Z"},{"alias_kind":"pith_short_12","alias_value":"HJGJ4HNXMC4M","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"HJGJ4HNXMC4MWVTF","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"HJGJ4HNX","created_at":"2026-05-18T12:31:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:HJGJ4HNXMC4MWVTFTFUPIM3OBK","target":"record","payload":{"canonical_record":{"source":{"id":"1709.02727","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.supr-con","submitted_at":"2017-09-08T14:55:02Z","cross_cats_sorted":["cond-mat.str-el","stat.ML"],"title_canon_sha256":"dae0e007b9dfeeaf6672ffae19adfdc2b2564c09a2f6a236db9f2bb9c919b891","abstract_canon_sha256":"33e7ea05f479089e6b94a245e6ce0e4f4d3ccfc1c9dda2729c6b715c2648941d"},"schema_version":"1.0"},"canonical_sha256":"3a4c9e1db760b8cb56659968f4336e0abe32f1508688afad948905e4f8a7c7ab","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:07:21.956189Z","signature_b64":"l3qevVjGc/ioqv6pRN8Bx4pQ3NbtJ6fB1IHQK6/BSW6nnwhkn6aRQhjcx4AWCImWecEmfuXyCgoGKs87FnBKDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3a4c9e1db760b8cb56659968f4336e0abe32f1508688afad948905e4f8a7c7ab","last_reissued_at":"2026-05-18T00:07:21.955384Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:07:21.955384Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1709.02727","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":"2026-05-18T00:07:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cQZVaxF4GwLKwDiy4X1bm3siN7fyNAX6nBuR5ar+pu2SU6aHJcZlGn4j7AFqqODlaoW0A57bGmoMmonYISYBDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T13:44:29.513523Z"},"content_sha256":"1d60431ae2947e160dd94781990a9366c93188d9be5cb9e3e2131f5b79fced85","schema_version":"1.0","event_id":"sha256:1d60431ae2947e160dd94781990a9366c93188d9be5cb9e3e2131f5b79fced85"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:HJGJ4HNXMC4MWVTFTFUPIM3OBK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Machine learning modeling of superconducting critical temperature","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.str-el","stat.ML"],"primary_cat":"cond-mat.supr-con","authors_text":"A. Gilad Kusne, Corey Oses, Efrain Rodriguez, Ichiro Takeuchi, Johnpierre Paglione, Stefano Curtarolo, Valentin Stanev","submitted_at":"2017-09-08T14:55:02Z","abstract_excerpt":"Superconductivity has been the focus of enormous research effort since its discovery more than a century ago. Yet, some features of this unique phenomenon remain poorly understood; prime among these is the connection between superconductivity and chemical/structural properties of materials. To bridge the gap, several machine learning schemes are developed herein to model the critical temperatures ($T_{\\mathrm{c}}$) of the 12,000+ known superconductors available via the SuperCon database. Materials are first divided into two classes based on their $T_{\\mathrm{c}}$ values, above and below 10 K, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.02727","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":"2026-05-18T00:07:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pgRWs85IM7nbIvPDSDAeRe/LIbr8HHDkexfJYLhDwu9Xou2aIFGBviWDKio4TcyLxf4NYvsiXFTTJr4y2mF/BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T13:44:29.514192Z"},"content_sha256":"a702651e18efbcbbfc67b89f57a467cfdb215f6c868b1b351e5fd2e1ec1cd9b0","schema_version":"1.0","event_id":"sha256:a702651e18efbcbbfc67b89f57a467cfdb215f6c868b1b351e5fd2e1ec1cd9b0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HJGJ4HNXMC4MWVTFTFUPIM3OBK/bundle.json","state_url":"https://pith.science/pith/HJGJ4HNXMC4MWVTFTFUPIM3OBK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HJGJ4HNXMC4MWVTFTFUPIM3OBK/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":"2026-05-25T13:44:29Z","links":{"resolver":"https://pith.science/pith/HJGJ4HNXMC4MWVTFTFUPIM3OBK","bundle":"https://pith.science/pith/HJGJ4HNXMC4MWVTFTFUPIM3OBK/bundle.json","state":"https://pith.science/pith/HJGJ4HNXMC4MWVTFTFUPIM3OBK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HJGJ4HNXMC4MWVTFTFUPIM3OBK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:HJGJ4HNXMC4MWVTFTFUPIM3OBK","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":"33e7ea05f479089e6b94a245e6ce0e4f4d3ccfc1c9dda2729c6b715c2648941d","cross_cats_sorted":["cond-mat.str-el","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.supr-con","submitted_at":"2017-09-08T14:55:02Z","title_canon_sha256":"dae0e007b9dfeeaf6672ffae19adfdc2b2564c09a2f6a236db9f2bb9c919b891"},"schema_version":"1.0","source":{"id":"1709.02727","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.02727","created_at":"2026-05-18T00:07:21Z"},{"alias_kind":"arxiv_version","alias_value":"1709.02727v2","created_at":"2026-05-18T00:07:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.02727","created_at":"2026-05-18T00:07:21Z"},{"alias_kind":"pith_short_12","alias_value":"HJGJ4HNXMC4M","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"HJGJ4HNXMC4MWVTF","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"HJGJ4HNX","created_at":"2026-05-18T12:31:18Z"}],"graph_snapshots":[{"event_id":"sha256:a702651e18efbcbbfc67b89f57a467cfdb215f6c868b1b351e5fd2e1ec1cd9b0","target":"graph","created_at":"2026-05-18T00:07:21Z","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":"Superconductivity has been the focus of enormous research effort since its discovery more than a century ago. Yet, some features of this unique phenomenon remain poorly understood; prime among these is the connection between superconductivity and chemical/structural properties of materials. To bridge the gap, several machine learning schemes are developed herein to model the critical temperatures ($T_{\\mathrm{c}}$) of the 12,000+ known superconductors available via the SuperCon database. Materials are first divided into two classes based on their $T_{\\mathrm{c}}$ values, above and below 10 K, ","authors_text":"A. Gilad Kusne, Corey Oses, Efrain Rodriguez, Ichiro Takeuchi, Johnpierre Paglione, Stefano Curtarolo, Valentin Stanev","cross_cats":["cond-mat.str-el","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.supr-con","submitted_at":"2017-09-08T14:55:02Z","title":"Machine learning modeling of superconducting critical temperature"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.02727","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":"sha256:1d60431ae2947e160dd94781990a9366c93188d9be5cb9e3e2131f5b79fced85","target":"record","created_at":"2026-05-18T00:07:21Z","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":"33e7ea05f479089e6b94a245e6ce0e4f4d3ccfc1c9dda2729c6b715c2648941d","cross_cats_sorted":["cond-mat.str-el","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.supr-con","submitted_at":"2017-09-08T14:55:02Z","title_canon_sha256":"dae0e007b9dfeeaf6672ffae19adfdc2b2564c09a2f6a236db9f2bb9c919b891"},"schema_version":"1.0","source":{"id":"1709.02727","kind":"arxiv","version":2}},"canonical_sha256":"3a4c9e1db760b8cb56659968f4336e0abe32f1508688afad948905e4f8a7c7ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3a4c9e1db760b8cb56659968f4336e0abe32f1508688afad948905e4f8a7c7ab","first_computed_at":"2026-05-18T00:07:21.955384Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:07:21.955384Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"l3qevVjGc/ioqv6pRN8Bx4pQ3NbtJ6fB1IHQK6/BSW6nnwhkn6aRQhjcx4AWCImWecEmfuXyCgoGKs87FnBKDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:07:21.956189Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.02727","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1d60431ae2947e160dd94781990a9366c93188d9be5cb9e3e2131f5b79fced85","sha256:a702651e18efbcbbfc67b89f57a467cfdb215f6c868b1b351e5fd2e1ec1cd9b0"],"state_sha256":"8a110e893fa4fa8100525b6883b450425f28033fbf5e53048fdf76877dbb284e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OqaIOS7psoJ5HYybJFQtKCZE+MIo0/zIHmQLQ/xnTr9pMmIuBkGYq+lAa8kgcnQ+eFJEflaM5kpgCQ+icKRGAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T13:44:29.517724Z","bundle_sha256":"6cf66cfd3d1c18cb8e15f462d364482566310f3f20b1a81ac614ad5e1caed6f7"}}