{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:VTXEJWJMYNIOGCOFCZBZ5VJCGN","short_pith_number":"pith:VTXEJWJM","canonical_record":{"source":{"id":"2607.29510","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-31T15:13:32Z","cross_cats_sorted":["cond-mat.other","cs.LG"],"title_canon_sha256":"14573c1a4646eb49aceb193474f66fd9edc1a6f531ddf702860a7843e44a8984","abstract_canon_sha256":"58f0a41ee03ed60cd264dfc0f628fed1f2e2ff88450fd3c7359a64eedf398922"},"schema_version":"1.0"},"canonical_sha256":"acee44d92cc350e309c516439ed522334d9e5d6c1c531673bda3869fa63d0a2e","source":{"kind":"arxiv","id":"2607.29510","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.29510","created_at":"2026-08-03T01:36:44Z"},{"alias_kind":"arxiv_version","alias_value":"2607.29510v1","created_at":"2026-08-03T01:36:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.29510","created_at":"2026-08-03T01:36:44Z"},{"alias_kind":"pith_short_12","alias_value":"VTXEJWJMYNIO","created_at":"2026-08-03T01:36:44Z"},{"alias_kind":"pith_short_16","alias_value":"VTXEJWJMYNIOGCOF","created_at":"2026-08-03T01:36:44Z"},{"alias_kind":"pith_short_8","alias_value":"VTXEJWJM","created_at":"2026-08-03T01:36:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:VTXEJWJMYNIOGCOFCZBZ5VJCGN","target":"record","payload":{"canonical_record":{"source":{"id":"2607.29510","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-31T15:13:32Z","cross_cats_sorted":["cond-mat.other","cs.LG"],"title_canon_sha256":"14573c1a4646eb49aceb193474f66fd9edc1a6f531ddf702860a7843e44a8984","abstract_canon_sha256":"58f0a41ee03ed60cd264dfc0f628fed1f2e2ff88450fd3c7359a64eedf398922"},"schema_version":"1.0"},"canonical_sha256":"acee44d92cc350e309c516439ed522334d9e5d6c1c531673bda3869fa63d0a2e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-03T01:36:44.215689Z","signature_b64":"kCTsBG44maHVqxzADyiPRquJfS6TFw4b4z5f7XfX13j9ycEOF14Q2lKXw+BPW5KzgBJpf3goypBbQkDI1YGRAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"acee44d92cc350e309c516439ed522334d9e5d6c1c531673bda3869fa63d0a2e","last_reissued_at":"2026-08-03T01:36:44.214202Z","signature_status":"signed_v1","first_computed_at":"2026-08-03T01:36:44.214202Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.29510","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":"2026-08-03T01:36:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WmPW1+WIZ98F2NMkbZyRiUGYyyy3PTvf8oSvEsEPndeG8EtGlLe3B1vfnvs+Lab6Eicli9jI7w4I6p711KmrCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T23:36:17.535793Z"},"content_sha256":"cd6df0825c861446fc7b676923293f147b85bddac49322b3f35557ad93090bfb","schema_version":"1.0","event_id":"sha256:cd6df0825c861446fc7b676923293f147b85bddac49322b3f35557ad93090bfb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:VTXEJWJMYNIOGCOFCZBZ5VJCGN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Ordered-to-disordered transfer learning with graph neural networks for formation-energy and HOMO-LUMO gap prediction in high-entropy perovskite oxides","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cond-mat.other","cs.LG"],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Assil Bouzid, Narjes Jomaa, Olivier Masson, Panupol Untarabut, Samuel Bernard, Santanu Saha, Sylvian Cadars","submitted_at":"2026-07-31T15:13:32Z","abstract_excerpt":"High-entropy perovskite oxides (HEPOs) represent a chemically complex class of materials with promising functional properties, yet their vast compositional space and, chemical/structural disorder pose significant challenge for accurate property prediction. Graph neural networks (GNNs) enable rapid exploration of materials space but are often limited by the availability of representative training data. Here, we investigate ordered-to-disordered transfer learning using GNNs for formation-energy and HOMO-LUMO gap prediction in HEPOs by transferring knowledge learned from chemically ordered perovs"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.29510","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/2607.29510/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":"2026-08-03T01:36:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nmNG6Gdf435r07N+kUVYJ0RwOSEGF9t6ZYrXbOllT/ooK4Hr8/138ue1aaSqLqKwoLqaVnoHhlYFYvG0XwFPBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T23:36:17.536291Z"},"content_sha256":"835ad73f629ee225d294263407d0cf9a48c91473d1a2791befb53cd20f659cb6","schema_version":"1.0","event_id":"sha256:835ad73f629ee225d294263407d0cf9a48c91473d1a2791befb53cd20f659cb6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VTXEJWJMYNIOGCOFCZBZ5VJCGN/bundle.json","state_url":"https://pith.science/pith/VTXEJWJMYNIOGCOFCZBZ5VJCGN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VTXEJWJMYNIOGCOFCZBZ5VJCGN/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":"2026-08-04T23:36:17Z","links":{"resolver":"https://pith.science/pith/VTXEJWJMYNIOGCOFCZBZ5VJCGN","bundle":"https://pith.science/pith/VTXEJWJMYNIOGCOFCZBZ5VJCGN/bundle.json","state":"https://pith.science/pith/VTXEJWJMYNIOGCOFCZBZ5VJCGN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VTXEJWJMYNIOGCOFCZBZ5VJCGN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:VTXEJWJMYNIOGCOFCZBZ5VJCGN","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":"58f0a41ee03ed60cd264dfc0f628fed1f2e2ff88450fd3c7359a64eedf398922","cross_cats_sorted":["cond-mat.other","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-31T15:13:32Z","title_canon_sha256":"14573c1a4646eb49aceb193474f66fd9edc1a6f531ddf702860a7843e44a8984"},"schema_version":"1.0","source":{"id":"2607.29510","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.29510","created_at":"2026-08-03T01:36:44Z"},{"alias_kind":"arxiv_version","alias_value":"2607.29510v1","created_at":"2026-08-03T01:36:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.29510","created_at":"2026-08-03T01:36:44Z"},{"alias_kind":"pith_short_12","alias_value":"VTXEJWJMYNIO","created_at":"2026-08-03T01:36:44Z"},{"alias_kind":"pith_short_16","alias_value":"VTXEJWJMYNIOGCOF","created_at":"2026-08-03T01:36:44Z"},{"alias_kind":"pith_short_8","alias_value":"VTXEJWJM","created_at":"2026-08-03T01:36:44Z"}],"graph_snapshots":[{"event_id":"sha256:835ad73f629ee225d294263407d0cf9a48c91473d1a2791befb53cd20f659cb6","target":"graph","created_at":"2026-08-03T01:36:44Z","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/2607.29510/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"High-entropy perovskite oxides (HEPOs) represent a chemically complex class of materials with promising functional properties, yet their vast compositional space and, chemical/structural disorder pose significant challenge for accurate property prediction. Graph neural networks (GNNs) enable rapid exploration of materials space but are often limited by the availability of representative training data. Here, we investigate ordered-to-disordered transfer learning using GNNs for formation-energy and HOMO-LUMO gap prediction in HEPOs by transferring knowledge learned from chemically ordered perovs","authors_text":"Assil Bouzid, Narjes Jomaa, Olivier Masson, Panupol Untarabut, Samuel Bernard, Santanu Saha, Sylvian Cadars","cross_cats":["cond-mat.other","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-31T15:13:32Z","title":"Ordered-to-disordered transfer learning with graph neural networks for formation-energy and HOMO-LUMO gap prediction in high-entropy perovskite oxides"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.29510","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:cd6df0825c861446fc7b676923293f147b85bddac49322b3f35557ad93090bfb","target":"record","created_at":"2026-08-03T01:36:44Z","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":"58f0a41ee03ed60cd264dfc0f628fed1f2e2ff88450fd3c7359a64eedf398922","cross_cats_sorted":["cond-mat.other","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-31T15:13:32Z","title_canon_sha256":"14573c1a4646eb49aceb193474f66fd9edc1a6f531ddf702860a7843e44a8984"},"schema_version":"1.0","source":{"id":"2607.29510","kind":"arxiv","version":1}},"canonical_sha256":"acee44d92cc350e309c516439ed522334d9e5d6c1c531673bda3869fa63d0a2e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"acee44d92cc350e309c516439ed522334d9e5d6c1c531673bda3869fa63d0a2e","first_computed_at":"2026-08-03T01:36:44.214202Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-03T01:36:44.214202Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kCTsBG44maHVqxzADyiPRquJfS6TFw4b4z5f7XfX13j9ycEOF14Q2lKXw+BPW5KzgBJpf3goypBbQkDI1YGRAQ==","signature_status":"signed_v1","signed_at":"2026-08-03T01:36:44.215689Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.29510","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cd6df0825c861446fc7b676923293f147b85bddac49322b3f35557ad93090bfb","sha256:835ad73f629ee225d294263407d0cf9a48c91473d1a2791befb53cd20f659cb6"],"state_sha256":"6b7a6a23897dea42f2b023d147472af2ebbcbd4ebf2618e04e90e3185734b477"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C6ZHdC8tBHW9XAsCgm6LBv1hcQKIR0zp7iAxzBmCYHayWNOkNdw2O3GiKc1Z2enb71EwBs7c/d1FVHC9GygGDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T23:36:17.540315Z","bundle_sha256":"aa9dbbeb433f1a5e13eb740fcd8eb7643164d281d2cac8d8c29b891eebffb3f8"}}