{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:HJ4GEUQACUN3TZT4JEVGN7INN6","short_pith_number":"pith:HJ4GEUQA","canonical_record":{"source":{"id":"2201.05770","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-01-15T06:43:15Z","cross_cats_sorted":["cs.LG","physics.comp-ph"],"title_canon_sha256":"a4abebf07505c6d5ddaccd457a9a88960f070461d1142e787956249d7d7a629b","abstract_canon_sha256":"bb0539596d6eba76ebabeeec0c45540a3e07df92356576edfd8c6529cba12ed0"},"schema_version":"1.0"},"canonical_sha256":"3a78625200151bb9e67c492a66fd0d6fa5b95db9691d65360a75b5af0e38acc5","source":{"kind":"arxiv","id":"2201.05770","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.05770","created_at":"2026-07-05T03:48:51Z"},{"alias_kind":"arxiv_version","alias_value":"2201.05770v1","created_at":"2026-07-05T03:48:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.05770","created_at":"2026-07-05T03:48:51Z"},{"alias_kind":"pith_short_12","alias_value":"HJ4GEUQACUN3","created_at":"2026-07-05T03:48:51Z"},{"alias_kind":"pith_short_16","alias_value":"HJ4GEUQACUN3TZT4","created_at":"2026-07-05T03:48:51Z"},{"alias_kind":"pith_short_8","alias_value":"HJ4GEUQA","created_at":"2026-07-05T03:48:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:HJ4GEUQACUN3TZT4JEVGN7INN6","target":"record","payload":{"canonical_record":{"source":{"id":"2201.05770","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-01-15T06:43:15Z","cross_cats_sorted":["cs.LG","physics.comp-ph"],"title_canon_sha256":"a4abebf07505c6d5ddaccd457a9a88960f070461d1142e787956249d7d7a629b","abstract_canon_sha256":"bb0539596d6eba76ebabeeec0c45540a3e07df92356576edfd8c6529cba12ed0"},"schema_version":"1.0"},"canonical_sha256":"3a78625200151bb9e67c492a66fd0d6fa5b95db9691d65360a75b5af0e38acc5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:48:51.260669Z","signature_b64":"3+rBbKFfUxGAvXg4PxQAh7l+X1ZX9abPUov4nHb9LS5ptC64WWnQiAPLMVVxCaa6HX4loxIXmSktg2bUKgdGAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3a78625200151bb9e67c492a66fd0d6fa5b95db9691d65360a75b5af0e38acc5","last_reissued_at":"2026-07-05T03:48:51.260227Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:48:51.260227Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2201.05770","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":"2026-07-05T03:48:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XP5lZO5nqceH5lh7FQpYPMDGDtRympbxarJUBOwFYXi6W6gk0lcD6jfvNxd2LGANRaGimvbF/RrHjLz3JrUvCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T19:58:16.123197Z"},"content_sha256":"71b732f1071a23b0ceda3174a5d8e81d3fd48ad2b229c710b6b5ead667d3a0a8","schema_version":"1.0","event_id":"sha256:71b732f1071a23b0ceda3174a5d8e81d3fd48ad2b229c710b6b5ead667d3a0a8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:HJ4GEUQACUN3TZT4JEVGN7INN6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Edge-based Tensor prediction via graph neural networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","physics.comp-ph"],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Hongjun Xiang, Hongyu Yu, Xingao Gong, Yang Zhong","submitted_at":"2022-01-15T06:43:15Z","abstract_excerpt":"Message-passing neural networks (MPNN) have shown extremely high efficiency and accuracy in predicting the physical properties of molecules and crystals, and are expected to become the next-generation material simulation tool after the density functional theory (DFT). However, there is currently a lack of a general MPNN framework for directly predicting the tensor properties of the crystals. In this work, a general framework for the prediction of tensor properties was proposed: the tensor property of a crystal can be decomposed into the average of the tensor contributions of all the atoms in t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.05770","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/2201.05770/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":"2026-07-05T03:48:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D+TDDI35eA4n+KnxeiPOJhK0A+y9ovUDzkquj9oCFNP6j7KwIQNRfHajQcut2zQY1gHmoO5cMdjDmCAAe21bAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T19:58:16.123568Z"},"content_sha256":"e758682a3b6768c1a289e38c23c55e77b5b4f36183169c6a1e7b24943c509952","schema_version":"1.0","event_id":"sha256:e758682a3b6768c1a289e38c23c55e77b5b4f36183169c6a1e7b24943c509952"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HJ4GEUQACUN3TZT4JEVGN7INN6/bundle.json","state_url":"https://pith.science/pith/HJ4GEUQACUN3TZT4JEVGN7INN6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HJ4GEUQACUN3TZT4JEVGN7INN6/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":"2026-08-14T19:58:16Z","links":{"resolver":"https://pith.science/pith/HJ4GEUQACUN3TZT4JEVGN7INN6","bundle":"https://pith.science/pith/HJ4GEUQACUN3TZT4JEVGN7INN6/bundle.json","state":"https://pith.science/pith/HJ4GEUQACUN3TZT4JEVGN7INN6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HJ4GEUQACUN3TZT4JEVGN7INN6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:HJ4GEUQACUN3TZT4JEVGN7INN6","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":"bb0539596d6eba76ebabeeec0c45540a3e07df92356576edfd8c6529cba12ed0","cross_cats_sorted":["cs.LG","physics.comp-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-01-15T06:43:15Z","title_canon_sha256":"a4abebf07505c6d5ddaccd457a9a88960f070461d1142e787956249d7d7a629b"},"schema_version":"1.0","source":{"id":"2201.05770","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.05770","created_at":"2026-07-05T03:48:51Z"},{"alias_kind":"arxiv_version","alias_value":"2201.05770v1","created_at":"2026-07-05T03:48:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.05770","created_at":"2026-07-05T03:48:51Z"},{"alias_kind":"pith_short_12","alias_value":"HJ4GEUQACUN3","created_at":"2026-07-05T03:48:51Z"},{"alias_kind":"pith_short_16","alias_value":"HJ4GEUQACUN3TZT4","created_at":"2026-07-05T03:48:51Z"},{"alias_kind":"pith_short_8","alias_value":"HJ4GEUQA","created_at":"2026-07-05T03:48:51Z"}],"graph_snapshots":[{"event_id":"sha256:e758682a3b6768c1a289e38c23c55e77b5b4f36183169c6a1e7b24943c509952","target":"graph","created_at":"2026-07-05T03:48:51Z","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/2201.05770/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Message-passing neural networks (MPNN) have shown extremely high efficiency and accuracy in predicting the physical properties of molecules and crystals, and are expected to become the next-generation material simulation tool after the density functional theory (DFT). However, there is currently a lack of a general MPNN framework for directly predicting the tensor properties of the crystals. In this work, a general framework for the prediction of tensor properties was proposed: the tensor property of a crystal can be decomposed into the average of the tensor contributions of all the atoms in t","authors_text":"Hongjun Xiang, Hongyu Yu, Xingao Gong, Yang Zhong","cross_cats":["cs.LG","physics.comp-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-01-15T06:43:15Z","title":"Edge-based Tensor prediction via graph neural networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.05770","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":"sha256:71b732f1071a23b0ceda3174a5d8e81d3fd48ad2b229c710b6b5ead667d3a0a8","target":"record","created_at":"2026-07-05T03:48:51Z","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":"bb0539596d6eba76ebabeeec0c45540a3e07df92356576edfd8c6529cba12ed0","cross_cats_sorted":["cs.LG","physics.comp-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-01-15T06:43:15Z","title_canon_sha256":"a4abebf07505c6d5ddaccd457a9a88960f070461d1142e787956249d7d7a629b"},"schema_version":"1.0","source":{"id":"2201.05770","kind":"arxiv","version":1}},"canonical_sha256":"3a78625200151bb9e67c492a66fd0d6fa5b95db9691d65360a75b5af0e38acc5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3a78625200151bb9e67c492a66fd0d6fa5b95db9691d65360a75b5af0e38acc5","first_computed_at":"2026-07-05T03:48:51.260227Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:48:51.260227Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3+rBbKFfUxGAvXg4PxQAh7l+X1ZX9abPUov4nHb9LS5ptC64WWnQiAPLMVVxCaa6HX4loxIXmSktg2bUKgdGAw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:48:51.260669Z","signed_message":"canonical_sha256_bytes"},"source_id":"2201.05770","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:71b732f1071a23b0ceda3174a5d8e81d3fd48ad2b229c710b6b5ead667d3a0a8","sha256:e758682a3b6768c1a289e38c23c55e77b5b4f36183169c6a1e7b24943c509952"],"state_sha256":"f732fbac15db8ef5c0050355fef1ce9a21f09cec2f2cf531c45f610e50bf590e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jr/DsXAYc5JaIlgyHADlztfiWzR4AeJBYAE9+6KkOkO809/GxNfnAHddB4jcJ5e6aaLAHtbJpQ707MnzUDhvBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T19:58:16.126201Z","bundle_sha256":"82308a94f24b99d20f8163914ebf9392e2f89421dc2e15b7b245175299c877b1"}}