{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:474KO3WFGKW4AA5FZQZIF27P5B","short_pith_number":"pith:474KO3WF","canonical_record":{"source":{"id":"2509.04875","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.comp-ph","submitted_at":"2025-09-05T07:42:32Z","cross_cats_sorted":["cond-mat.mtrl-sci"],"title_canon_sha256":"3aee6ffd8bb6407414bbf7be9f7383cd85eb68bdbc75f1288ea8711281f6bef2","abstract_canon_sha256":"4cfa09a10ff2cca541fc2d6b0fc87af246397f71b83dc3299f2d331110282180"},"schema_version":"1.0"},"canonical_sha256":"e7f8a76ec532adc003a5cc3282ebefe8693e43140fc3c35c278e9521dad84473","source":{"kind":"arxiv","id":"2509.04875","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.04875","created_at":"2026-07-05T12:05:31Z"},{"alias_kind":"arxiv_version","alias_value":"2509.04875v1","created_at":"2026-07-05T12:05:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.04875","created_at":"2026-07-05T12:05:31Z"},{"alias_kind":"pith_short_12","alias_value":"474KO3WFGKW4","created_at":"2026-07-05T12:05:31Z"},{"alias_kind":"pith_short_16","alias_value":"474KO3WFGKW4AA5F","created_at":"2026-07-05T12:05:31Z"},{"alias_kind":"pith_short_8","alias_value":"474KO3WF","created_at":"2026-07-05T12:05:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:474KO3WFGKW4AA5FZQZIF27P5B","target":"record","payload":{"canonical_record":{"source":{"id":"2509.04875","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.comp-ph","submitted_at":"2025-09-05T07:42:32Z","cross_cats_sorted":["cond-mat.mtrl-sci"],"title_canon_sha256":"3aee6ffd8bb6407414bbf7be9f7383cd85eb68bdbc75f1288ea8711281f6bef2","abstract_canon_sha256":"4cfa09a10ff2cca541fc2d6b0fc87af246397f71b83dc3299f2d331110282180"},"schema_version":"1.0"},"canonical_sha256":"e7f8a76ec532adc003a5cc3282ebefe8693e43140fc3c35c278e9521dad84473","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:05:31.461856Z","signature_b64":"ZDPIoVPv8zsOoneZ/5RbPJAeliqdUrfdIzaIK1bK/woVuKX0q34CAvm78x17wyKxW/ba8lUIhHyDvvDy/AgUCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e7f8a76ec532adc003a5cc3282ebefe8693e43140fc3c35c278e9521dad84473","last_reissued_at":"2026-07-05T12:05:31.461396Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:05:31.461396Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.04875","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":"2026-07-05T12:05:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HEdgq+JjNAWKWMVCp3ruHF8JEsYdGfBJHXyEWm4xe9UzDrpV17v3+jcFdgp5ZaCoMsdyf4ktKEnnki9SWZX4BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:36:39.130692Z"},"content_sha256":"098f95f2c410778dfda1f0fc41c76d129531a76b1a8e60f1d3572b64b9de42b6","schema_version":"1.0","event_id":"sha256:098f95f2c410778dfda1f0fc41c76d129531a76b1a8e60f1d3572b64b9de42b6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:474KO3WFGKW4AA5FZQZIF27P5B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hot-Ham: an accurate and efficient E(3)-equivariant machine-learning electronic structures calculation framework","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cond-mat.mtrl-sci"],"primary_cat":"physics.comp-ph","authors_text":"Chi Ding, Dingyu Xing, Hui-Tian Wang, Jian Sun, Junjie Wang, Yunlong Wang, Zhixin Liang","submitted_at":"2025-09-05T07:42:32Z","abstract_excerpt":"The combinations of machine learning with ab initio methods have attracted much attention for their potential to resolve the accuracy-efficiency dilemma and facilitate calculations for large-scale systems. Recently, equivariant message passing neural networks (MPNNs) that explicitly incorporate symmetry constraints have demonstrated promise for interatomic potential and density functional theory (DFT) Hamiltonian predictions. However, the high-order tensors used to represent node and edge information are coupled through the Clebsch-Gordan tensor product (CGTP), leading to steep increases in co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.04875","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/2509.04875/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":"2026-07-05T12:05:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jzxappZ5rdG1EDOtoUplFlKcxUz0yZbtGOb+e3HALMhoWG1azPiX6H3aW5OMlrZ4LZrD4R+IMihIAEMt4Xm3Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:36:39.131189Z"},"content_sha256":"f35395e9bb9d28149a887fcfb39653c5ddc1ff197f84267e6887c9f3e04677fd","schema_version":"1.0","event_id":"sha256:f35395e9bb9d28149a887fcfb39653c5ddc1ff197f84267e6887c9f3e04677fd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/474KO3WFGKW4AA5FZQZIF27P5B/bundle.json","state_url":"https://pith.science/pith/474KO3WFGKW4AA5FZQZIF27P5B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/474KO3WFGKW4AA5FZQZIF27P5B/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":"2026-08-05T15:36:39Z","links":{"resolver":"https://pith.science/pith/474KO3WFGKW4AA5FZQZIF27P5B","bundle":"https://pith.science/pith/474KO3WFGKW4AA5FZQZIF27P5B/bundle.json","state":"https://pith.science/pith/474KO3WFGKW4AA5FZQZIF27P5B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/474KO3WFGKW4AA5FZQZIF27P5B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:474KO3WFGKW4AA5FZQZIF27P5B","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":"4cfa09a10ff2cca541fc2d6b0fc87af246397f71b83dc3299f2d331110282180","cross_cats_sorted":["cond-mat.mtrl-sci"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.comp-ph","submitted_at":"2025-09-05T07:42:32Z","title_canon_sha256":"3aee6ffd8bb6407414bbf7be9f7383cd85eb68bdbc75f1288ea8711281f6bef2"},"schema_version":"1.0","source":{"id":"2509.04875","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.04875","created_at":"2026-07-05T12:05:31Z"},{"alias_kind":"arxiv_version","alias_value":"2509.04875v1","created_at":"2026-07-05T12:05:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.04875","created_at":"2026-07-05T12:05:31Z"},{"alias_kind":"pith_short_12","alias_value":"474KO3WFGKW4","created_at":"2026-07-05T12:05:31Z"},{"alias_kind":"pith_short_16","alias_value":"474KO3WFGKW4AA5F","created_at":"2026-07-05T12:05:31Z"},{"alias_kind":"pith_short_8","alias_value":"474KO3WF","created_at":"2026-07-05T12:05:31Z"}],"graph_snapshots":[{"event_id":"sha256:f35395e9bb9d28149a887fcfb39653c5ddc1ff197f84267e6887c9f3e04677fd","target":"graph","created_at":"2026-07-05T12:05:31Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2509.04875/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The combinations of machine learning with ab initio methods have attracted much attention for their potential to resolve the accuracy-efficiency dilemma and facilitate calculations for large-scale systems. Recently, equivariant message passing neural networks (MPNNs) that explicitly incorporate symmetry constraints have demonstrated promise for interatomic potential and density functional theory (DFT) Hamiltonian predictions. However, the high-order tensors used to represent node and edge information are coupled through the Clebsch-Gordan tensor product (CGTP), leading to steep increases in co","authors_text":"Chi Ding, Dingyu Xing, Hui-Tian Wang, Jian Sun, Junjie Wang, Yunlong Wang, Zhixin Liang","cross_cats":["cond-mat.mtrl-sci"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.comp-ph","submitted_at":"2025-09-05T07:42:32Z","title":"Hot-Ham: an accurate and efficient E(3)-equivariant machine-learning electronic structures calculation framework"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.04875","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":"sha256:098f95f2c410778dfda1f0fc41c76d129531a76b1a8e60f1d3572b64b9de42b6","target":"record","created_at":"2026-07-05T12:05:31Z","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":"4cfa09a10ff2cca541fc2d6b0fc87af246397f71b83dc3299f2d331110282180","cross_cats_sorted":["cond-mat.mtrl-sci"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.comp-ph","submitted_at":"2025-09-05T07:42:32Z","title_canon_sha256":"3aee6ffd8bb6407414bbf7be9f7383cd85eb68bdbc75f1288ea8711281f6bef2"},"schema_version":"1.0","source":{"id":"2509.04875","kind":"arxiv","version":1}},"canonical_sha256":"e7f8a76ec532adc003a5cc3282ebefe8693e43140fc3c35c278e9521dad84473","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e7f8a76ec532adc003a5cc3282ebefe8693e43140fc3c35c278e9521dad84473","first_computed_at":"2026-07-05T12:05:31.461396Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:05:31.461396Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZDPIoVPv8zsOoneZ/5RbPJAeliqdUrfdIzaIK1bK/woVuKX0q34CAvm78x17wyKxW/ba8lUIhHyDvvDy/AgUCw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:05:31.461856Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.04875","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:098f95f2c410778dfda1f0fc41c76d129531a76b1a8e60f1d3572b64b9de42b6","sha256:f35395e9bb9d28149a887fcfb39653c5ddc1ff197f84267e6887c9f3e04677fd"],"state_sha256":"06939d5374d05afe8d4c09da7bc3694d3216e66b3cd62066d75386ac5a5ee692"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NlPEHkTiDmhTl5virhEh3qdeFWWpMVDnpXvWhPzgeVXqyYQ87A4pJCKe0Onzkp6eOOCyia0P8PZfA5YXfvmNDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T15:36:39.134586Z","bundle_sha256":"ba1e50ac86cc5cd3ecd05e2be3a11745515806028b8575bdfed84be28125f643"}}