{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:J5ORCMFYKNWZ22LWHF72WVEIRU","short_pith_number":"pith:J5ORCMFY","canonical_record":{"source":{"id":"2501.05164","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.supr-con","submitted_at":"2025-01-09T11:36:45Z","cross_cats_sorted":[],"title_canon_sha256":"d4a70d1e5d903614eefb83dd903200e6c6c7a461ea316f1882ef9e00727e44c9","abstract_canon_sha256":"0612ceb926f0f717faaaf2a55282737515ecfe27002f9b1f40c279d8a19594a7"},"schema_version":"1.0"},"canonical_sha256":"4f5d1130b8536d9d6976397fab54888d130cefcc225bef9abea9060c14415003","source":{"kind":"arxiv","id":"2501.05164","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.05164","created_at":"2026-07-02T01:17:11Z"},{"alias_kind":"arxiv_version","alias_value":"2501.05164v1","created_at":"2026-07-02T01:17:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.05164","created_at":"2026-07-02T01:17:11Z"},{"alias_kind":"pith_short_12","alias_value":"J5ORCMFYKNWZ","created_at":"2026-07-02T01:17:11Z"},{"alias_kind":"pith_short_16","alias_value":"J5ORCMFYKNWZ22LW","created_at":"2026-07-02T01:17:11Z"},{"alias_kind":"pith_short_8","alias_value":"J5ORCMFY","created_at":"2026-07-02T01:17:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:J5ORCMFYKNWZ22LWHF72WVEIRU","target":"record","payload":{"canonical_record":{"source":{"id":"2501.05164","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.supr-con","submitted_at":"2025-01-09T11:36:45Z","cross_cats_sorted":[],"title_canon_sha256":"d4a70d1e5d903614eefb83dd903200e6c6c7a461ea316f1882ef9e00727e44c9","abstract_canon_sha256":"0612ceb926f0f717faaaf2a55282737515ecfe27002f9b1f40c279d8a19594a7"},"schema_version":"1.0"},"canonical_sha256":"4f5d1130b8536d9d6976397fab54888d130cefcc225bef9abea9060c14415003","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-02T01:17:11.754291Z","signature_b64":"uNOxZQFfuj80l2MAZBQG8/InY9tPkklDGS4p3nyjPF3KMmMXlLDuJfa9PUora0lcyEK7hS9QwUieKtztIVu5Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4f5d1130b8536d9d6976397fab54888d130cefcc225bef9abea9060c14415003","last_reissued_at":"2026-07-02T01:17:11.753786Z","signature_status":"signed_v1","first_computed_at":"2026-07-02T01:17:11.753786Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.05164","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":"2026-07-02T01:17:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"44Ohn0UlFcpwYVqsQU5Ajm5rk68qPrVa85HDZanCqkM6Ip+0oh0hdcgYeUkML9O9kUsRd2vFmREupkJfksULCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T11:52:28.707397Z"},"content_sha256":"c4810f0e88ac6c4e829885ca5e934a3505627ac0fd3e0a2f4a5483531fb7e37f","schema_version":"1.0","event_id":"sha256:c4810f0e88ac6c4e829885ca5e934a3505627ac0fd3e0a2f4a5483531fb7e37f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:J5ORCMFYKNWZ22LWHF72WVEIRU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Tree Models Machine Learning to Identify Liquid Metal based Alloy Superconductor","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.supr-con","authors_text":"Chen Hua, Jing Liu","submitted_at":"2025-01-09T11:36:45Z","abstract_excerpt":"Superconductors, which are crucial for modern advanced technologies due to their zero-resistance properties, are limited by low Tc and the difficulty of accurate prediction. This article made the initial endeavor to apply machine learning to predict the critical temperature (Tc) of liquid metal (LM) alloy superconductors. Leveraging the SuperCon dataset, which includes extensive superconductor property data, we developed a machine learning model to predict Tc. After addressing data issues through preprocessing, we compared multiple models and found that the Extra Trees model outperformed other"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.05164","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/2501.05164/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":"2026-07-02T01:17:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dovQW1yehSkOF/KfvJvKFppWC7FkSgfnwYhbGLmw5ol7oZO5tzFflTpCqw8K5CRn3YuGMLf5NIqdcRPQ30jmCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T11:52:28.708372Z"},"content_sha256":"7828028721c5b8881bff455c0f99895b5df17ed7fb0b4455724de53b23412c31","schema_version":"1.0","event_id":"sha256:7828028721c5b8881bff455c0f99895b5df17ed7fb0b4455724de53b23412c31"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J5ORCMFYKNWZ22LWHF72WVEIRU/bundle.json","state_url":"https://pith.science/pith/J5ORCMFYKNWZ22LWHF72WVEIRU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J5ORCMFYKNWZ22LWHF72WVEIRU/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":"2026-08-13T11:52:28Z","links":{"resolver":"https://pith.science/pith/J5ORCMFYKNWZ22LWHF72WVEIRU","bundle":"https://pith.science/pith/J5ORCMFYKNWZ22LWHF72WVEIRU/bundle.json","state":"https://pith.science/pith/J5ORCMFYKNWZ22LWHF72WVEIRU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J5ORCMFYKNWZ22LWHF72WVEIRU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:J5ORCMFYKNWZ22LWHF72WVEIRU","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":"0612ceb926f0f717faaaf2a55282737515ecfe27002f9b1f40c279d8a19594a7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.supr-con","submitted_at":"2025-01-09T11:36:45Z","title_canon_sha256":"d4a70d1e5d903614eefb83dd903200e6c6c7a461ea316f1882ef9e00727e44c9"},"schema_version":"1.0","source":{"id":"2501.05164","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.05164","created_at":"2026-07-02T01:17:11Z"},{"alias_kind":"arxiv_version","alias_value":"2501.05164v1","created_at":"2026-07-02T01:17:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.05164","created_at":"2026-07-02T01:17:11Z"},{"alias_kind":"pith_short_12","alias_value":"J5ORCMFYKNWZ","created_at":"2026-07-02T01:17:11Z"},{"alias_kind":"pith_short_16","alias_value":"J5ORCMFYKNWZ22LW","created_at":"2026-07-02T01:17:11Z"},{"alias_kind":"pith_short_8","alias_value":"J5ORCMFY","created_at":"2026-07-02T01:17:11Z"}],"graph_snapshots":[{"event_id":"sha256:7828028721c5b8881bff455c0f99895b5df17ed7fb0b4455724de53b23412c31","target":"graph","created_at":"2026-07-02T01:17:11Z","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/2501.05164/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Superconductors, which are crucial for modern advanced technologies due to their zero-resistance properties, are limited by low Tc and the difficulty of accurate prediction. This article made the initial endeavor to apply machine learning to predict the critical temperature (Tc) of liquid metal (LM) alloy superconductors. Leveraging the SuperCon dataset, which includes extensive superconductor property data, we developed a machine learning model to predict Tc. After addressing data issues through preprocessing, we compared multiple models and found that the Extra Trees model outperformed other","authors_text":"Chen Hua, Jing Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.supr-con","submitted_at":"2025-01-09T11:36:45Z","title":"Tree Models Machine Learning to Identify Liquid Metal based Alloy Superconductor"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.05164","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:c4810f0e88ac6c4e829885ca5e934a3505627ac0fd3e0a2f4a5483531fb7e37f","target":"record","created_at":"2026-07-02T01:17:11Z","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":"0612ceb926f0f717faaaf2a55282737515ecfe27002f9b1f40c279d8a19594a7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.supr-con","submitted_at":"2025-01-09T11:36:45Z","title_canon_sha256":"d4a70d1e5d903614eefb83dd903200e6c6c7a461ea316f1882ef9e00727e44c9"},"schema_version":"1.0","source":{"id":"2501.05164","kind":"arxiv","version":1}},"canonical_sha256":"4f5d1130b8536d9d6976397fab54888d130cefcc225bef9abea9060c14415003","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f5d1130b8536d9d6976397fab54888d130cefcc225bef9abea9060c14415003","first_computed_at":"2026-07-02T01:17:11.753786Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-02T01:17:11.753786Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uNOxZQFfuj80l2MAZBQG8/InY9tPkklDGS4p3nyjPF3KMmMXlLDuJfa9PUora0lcyEK7hS9QwUieKtztIVu5Cw==","signature_status":"signed_v1","signed_at":"2026-07-02T01:17:11.754291Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.05164","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c4810f0e88ac6c4e829885ca5e934a3505627ac0fd3e0a2f4a5483531fb7e37f","sha256:7828028721c5b8881bff455c0f99895b5df17ed7fb0b4455724de53b23412c31"],"state_sha256":"1489a9d25c34d42f74a6c148f792e91ddd3f53566507da2c0532f3ff9146eb78"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UFdvt6ENrin8J8+plG2fA3XhLW61lNJ1qr5nO023/RXOpV5Gyn8NoKO1Sc3Kxwv6MrOzChcypOhKWgU7OsNqDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T11:52:28.796838Z","bundle_sha256":"baa20151fd596b88c43632b11a08e3e656c7471d927a9fad8f21f67488b90e7b"}}