{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:3BG2AQXTTG32C6BECXJBQX2SBV","short_pith_number":"pith:3BG2AQXT","canonical_record":{"source":{"id":"2008.05125","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2020-08-12T06:11:59Z","cross_cats_sorted":[],"title_canon_sha256":"1fb5bda6fcf43608b465d3a9aa13eef32333528412064d3709b34156adb23f55","abstract_canon_sha256":"2b2322253423c13393f14f9e8c52826c7c0a35d2ad05f8fdb4ac66f178c4f3f0"},"schema_version":"1.0"},"canonical_sha256":"d84da042f399b7a1782415d2185f520d4d26c7abe5abeccff2e5877b95298c31","source":{"kind":"arxiv","id":"2008.05125","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.05125","created_at":"2026-07-05T01:35:37Z"},{"alias_kind":"arxiv_version","alias_value":"2008.05125v1","created_at":"2026-07-05T01:35:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.05125","created_at":"2026-07-05T01:35:37Z"},{"alias_kind":"pith_short_12","alias_value":"3BG2AQXTTG32","created_at":"2026-07-05T01:35:37Z"},{"alias_kind":"pith_short_16","alias_value":"3BG2AQXTTG32C6BE","created_at":"2026-07-05T01:35:37Z"},{"alias_kind":"pith_short_8","alias_value":"3BG2AQXT","created_at":"2026-07-05T01:35:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:3BG2AQXTTG32C6BECXJBQX2SBV","target":"record","payload":{"canonical_record":{"source":{"id":"2008.05125","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2020-08-12T06:11:59Z","cross_cats_sorted":[],"title_canon_sha256":"1fb5bda6fcf43608b465d3a9aa13eef32333528412064d3709b34156adb23f55","abstract_canon_sha256":"2b2322253423c13393f14f9e8c52826c7c0a35d2ad05f8fdb4ac66f178c4f3f0"},"schema_version":"1.0"},"canonical_sha256":"d84da042f399b7a1782415d2185f520d4d26c7abe5abeccff2e5877b95298c31","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:35:37.570255Z","signature_b64":"DOvZmshvovX4JE1AA/oFB74HShgnhAaa7RonXiHILdgNrwlyOabIPuD/h13O6CBPB+6V73VjCVt+0xp3+qjYAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d84da042f399b7a1782415d2185f520d4d26c7abe5abeccff2e5877b95298c31","last_reissued_at":"2026-07-05T01:35:37.569859Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:35:37.569859Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2008.05125","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":"2026-07-05T01:35:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V9bVJ08XnF1wRz521hyaROr1ic8PZyAbjrNhC9D9x7LYuS8ghx1kJniDVY9loc4or7Mf8fNEjp11rKi4jay8CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T01:07:49.918553Z"},"content_sha256":"898428af10353fcd73758937278c41b5aab2f4209369c3af52ae05f1b1e69fd5","schema_version":"1.0","event_id":"sha256:898428af10353fcd73758937278c41b5aab2f4209369c3af52ae05f1b1e69fd5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:3BG2AQXTTG32C6BECXJBQX2SBV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Prediction on Properties of Rare-earth 2-17-X Magnets Ce2Fe17-xCoxCN : A Combined Machine-learning and Ab-initio Study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Aishwaryo Ghosh, Anita Halder, Samir Rom, Tanusri Saha-Dasgupta","submitted_at":"2020-08-12T06:11:59Z","abstract_excerpt":"We employ a combination of machine learning and first-principles calculations to predict magnetic properties of rare-earth lean magnets. For this purpose, based on training set constructed out of experimental data, the machine is trained to make predictions on magnetic transition temperature (Tc), largeness of saturation magnetization ({\\mu}0Ms), and nature of the magnetocrystalline anisotropy (Ku). Subsequently, the quantitative values of {\\mu}0Ms and Ku of the yet-to-be synthesized compounds, screened by machine learning, are calculated by first-principles density functional theory. The appl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.05125","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/2008.05125/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":"2026-07-05T01:35:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zQ8h1cI1HGajUfduVViQDvgqsHjIRBeHl0zarzwFNxfXBrm8YsxuR/lBOa2uGkHpdRyeyMVrPXOAa3Xo1NZ9Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T01:07:49.919092Z"},"content_sha256":"787afd58d0919b26467ee80ee091ca39486346885d1333ef45bee24162bdd874","schema_version":"1.0","event_id":"sha256:787afd58d0919b26467ee80ee091ca39486346885d1333ef45bee24162bdd874"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3BG2AQXTTG32C6BECXJBQX2SBV/bundle.json","state_url":"https://pith.science/pith/3BG2AQXTTG32C6BECXJBQX2SBV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3BG2AQXTTG32C6BECXJBQX2SBV/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":"2026-08-04T01:07:49Z","links":{"resolver":"https://pith.science/pith/3BG2AQXTTG32C6BECXJBQX2SBV","bundle":"https://pith.science/pith/3BG2AQXTTG32C6BECXJBQX2SBV/bundle.json","state":"https://pith.science/pith/3BG2AQXTTG32C6BECXJBQX2SBV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3BG2AQXTTG32C6BECXJBQX2SBV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:3BG2AQXTTG32C6BECXJBQX2SBV","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":"2b2322253423c13393f14f9e8c52826c7c0a35d2ad05f8fdb4ac66f178c4f3f0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2020-08-12T06:11:59Z","title_canon_sha256":"1fb5bda6fcf43608b465d3a9aa13eef32333528412064d3709b34156adb23f55"},"schema_version":"1.0","source":{"id":"2008.05125","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.05125","created_at":"2026-07-05T01:35:37Z"},{"alias_kind":"arxiv_version","alias_value":"2008.05125v1","created_at":"2026-07-05T01:35:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.05125","created_at":"2026-07-05T01:35:37Z"},{"alias_kind":"pith_short_12","alias_value":"3BG2AQXTTG32","created_at":"2026-07-05T01:35:37Z"},{"alias_kind":"pith_short_16","alias_value":"3BG2AQXTTG32C6BE","created_at":"2026-07-05T01:35:37Z"},{"alias_kind":"pith_short_8","alias_value":"3BG2AQXT","created_at":"2026-07-05T01:35:37Z"}],"graph_snapshots":[{"event_id":"sha256:787afd58d0919b26467ee80ee091ca39486346885d1333ef45bee24162bdd874","target":"graph","created_at":"2026-07-05T01:35:37Z","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/2008.05125/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We employ a combination of machine learning and first-principles calculations to predict magnetic properties of rare-earth lean magnets. For this purpose, based on training set constructed out of experimental data, the machine is trained to make predictions on magnetic transition temperature (Tc), largeness of saturation magnetization ({\\mu}0Ms), and nature of the magnetocrystalline anisotropy (Ku). Subsequently, the quantitative values of {\\mu}0Ms and Ku of the yet-to-be synthesized compounds, screened by machine learning, are calculated by first-principles density functional theory. The appl","authors_text":"Aishwaryo Ghosh, Anita Halder, Samir Rom, Tanusri Saha-Dasgupta","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2020-08-12T06:11:59Z","title":"Prediction on Properties of Rare-earth 2-17-X Magnets Ce2Fe17-xCoxCN : A Combined Machine-learning and Ab-initio Study"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.05125","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":"sha256:898428af10353fcd73758937278c41b5aab2f4209369c3af52ae05f1b1e69fd5","target":"record","created_at":"2026-07-05T01:35:37Z","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":"2b2322253423c13393f14f9e8c52826c7c0a35d2ad05f8fdb4ac66f178c4f3f0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2020-08-12T06:11:59Z","title_canon_sha256":"1fb5bda6fcf43608b465d3a9aa13eef32333528412064d3709b34156adb23f55"},"schema_version":"1.0","source":{"id":"2008.05125","kind":"arxiv","version":1}},"canonical_sha256":"d84da042f399b7a1782415d2185f520d4d26c7abe5abeccff2e5877b95298c31","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d84da042f399b7a1782415d2185f520d4d26c7abe5abeccff2e5877b95298c31","first_computed_at":"2026-07-05T01:35:37.569859Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:35:37.569859Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DOvZmshvovX4JE1AA/oFB74HShgnhAaa7RonXiHILdgNrwlyOabIPuD/h13O6CBPB+6V73VjCVt+0xp3+qjYAA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:35:37.570255Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.05125","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:898428af10353fcd73758937278c41b5aab2f4209369c3af52ae05f1b1e69fd5","sha256:787afd58d0919b26467ee80ee091ca39486346885d1333ef45bee24162bdd874"],"state_sha256":"f94fa90f9ea0479287d979b791f52659d88480aa50c67e13dc2d410fc55bd0c0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NwQH57mVVEJ6y9vJL4p/tO7MA2RLq5cGUNwPkGPRDsl5FbtCbtjgmihTRB2n08VwZZxz4B0/nBLxKRU44Jv9Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T01:07:49.923886Z","bundle_sha256":"6e689890d3bb727c18709c5deb3c1e2ff4bc182ebd3319ed26e9269006078f99"}}