{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ET34YXFKC7IDQUS4CGK75RUDDG","short_pith_number":"pith:ET34YXFK","canonical_record":{"source":{"id":"2405.07599","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2024-05-13T09:59:59Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"4f9bc1dc03090ef67ff13fe65096170d4ff464010f5a7fc97eef84bee50825b9","abstract_canon_sha256":"8281d8812ddd01db20b479021db504dc69240a60378b1910a709b9ba3be0fdf7"},"schema_version":"1.0"},"canonical_sha256":"24f7cc5caa17d038525c1195fec68319aa07694747393cacfd9cb58b647e284a","source":{"kind":"arxiv","id":"2405.07599","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.07599","created_at":"2026-07-05T08:18:25Z"},{"alias_kind":"arxiv_version","alias_value":"2405.07599v1","created_at":"2026-07-05T08:18:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.07599","created_at":"2026-07-05T08:18:25Z"},{"alias_kind":"pith_short_12","alias_value":"ET34YXFKC7ID","created_at":"2026-07-05T08:18:25Z"},{"alias_kind":"pith_short_16","alias_value":"ET34YXFKC7IDQUS4","created_at":"2026-07-05T08:18:25Z"},{"alias_kind":"pith_short_8","alias_value":"ET34YXFK","created_at":"2026-07-05T08:18:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ET34YXFKC7IDQUS4CGK75RUDDG","target":"record","payload":{"canonical_record":{"source":{"id":"2405.07599","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2024-05-13T09:59:59Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"4f9bc1dc03090ef67ff13fe65096170d4ff464010f5a7fc97eef84bee50825b9","abstract_canon_sha256":"8281d8812ddd01db20b479021db504dc69240a60378b1910a709b9ba3be0fdf7"},"schema_version":"1.0"},"canonical_sha256":"24f7cc5caa17d038525c1195fec68319aa07694747393cacfd9cb58b647e284a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:18:25.264766Z","signature_b64":"RaUcb+nysCFAApk8guJqNYKOx5oOL+2NGIfkgeDqA8rO4n+CPQ4G8s6L6eSAvFdBD8mmT/o4XHP9zkx6oR+qAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"24f7cc5caa17d038525c1195fec68319aa07694747393cacfd9cb58b647e284a","last_reissued_at":"2026-07-05T08:18:25.264256Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:18:25.264256Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.07599","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":"2026-07-05T08:18:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hii/BRIEaNnK2Uh9FB46deBHoCX0Yqyz8ZXhoCVnDhfSfhAufEB2PjgyulgaS/x5VLVp5HD1A+tZDz+sts4OAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T07:48:55.978848Z"},"content_sha256":"88aac58bb27fd7edabb0e72322dda378856e5bc9b97b11f6ae991c6475c4167a","schema_version":"1.0","event_id":"sha256:88aac58bb27fd7edabb0e72322dda378856e5bc9b97b11f6ae991c6475c4167a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ET34YXFKC7IDQUS4CGK75RUDDG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Transferable Neural Wavefunctions for Solids","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"physics.comp-ph","authors_text":"Halvard Sutterud, Leon Gerard, Matthew Foulkes, Michael Scherbela, Philipp Grohs","submitted_at":"2024-05-13T09:59:59Z","abstract_excerpt":"Deep-Learning-based Variational Monte Carlo (DL-VMC) has recently emerged as a highly accurate approach for finding approximate solutions to the many-electron Schr\\\"odinger equation. Despite its favorable scaling with the number of electrons, $\\mathcal{O}(n_\\text{el}^{4})$, the practical value of DL-VMC is limited by the high cost of optimizing the neural network weights for every system studied. To mitigate this problem, recent research has proposed optimizing a single neural network across multiple systems, reducing the cost per system. Here we extend this approach to solids, where similar b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.07599","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/2405.07599/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":"2026-07-05T08:18:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1FuxtMiE9FWPRDQyUqAyWRvRlmjpSXn2Xyq6bvqoM3Zvvw6Uhv341mAVYpjZ2RiJdSlwSUwrIUVYVDH7bOjkCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T07:48:55.979341Z"},"content_sha256":"b80bb0f0a3c47054f246f869e3e6163377435f58cb16ff3eee34bbb5be4cf828","schema_version":"1.0","event_id":"sha256:b80bb0f0a3c47054f246f869e3e6163377435f58cb16ff3eee34bbb5be4cf828"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ET34YXFKC7IDQUS4CGK75RUDDG/bundle.json","state_url":"https://pith.science/pith/ET34YXFKC7IDQUS4CGK75RUDDG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ET34YXFKC7IDQUS4CGK75RUDDG/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":"2026-08-15T07:48:55Z","links":{"resolver":"https://pith.science/pith/ET34YXFKC7IDQUS4CGK75RUDDG","bundle":"https://pith.science/pith/ET34YXFKC7IDQUS4CGK75RUDDG/bundle.json","state":"https://pith.science/pith/ET34YXFKC7IDQUS4CGK75RUDDG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ET34YXFKC7IDQUS4CGK75RUDDG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ET34YXFKC7IDQUS4CGK75RUDDG","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":"8281d8812ddd01db20b479021db504dc69240a60378b1910a709b9ba3be0fdf7","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2024-05-13T09:59:59Z","title_canon_sha256":"4f9bc1dc03090ef67ff13fe65096170d4ff464010f5a7fc97eef84bee50825b9"},"schema_version":"1.0","source":{"id":"2405.07599","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.07599","created_at":"2026-07-05T08:18:25Z"},{"alias_kind":"arxiv_version","alias_value":"2405.07599v1","created_at":"2026-07-05T08:18:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.07599","created_at":"2026-07-05T08:18:25Z"},{"alias_kind":"pith_short_12","alias_value":"ET34YXFKC7ID","created_at":"2026-07-05T08:18:25Z"},{"alias_kind":"pith_short_16","alias_value":"ET34YXFKC7IDQUS4","created_at":"2026-07-05T08:18:25Z"},{"alias_kind":"pith_short_8","alias_value":"ET34YXFK","created_at":"2026-07-05T08:18:25Z"}],"graph_snapshots":[{"event_id":"sha256:b80bb0f0a3c47054f246f869e3e6163377435f58cb16ff3eee34bbb5be4cf828","target":"graph","created_at":"2026-07-05T08:18:25Z","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/2405.07599/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep-Learning-based Variational Monte Carlo (DL-VMC) has recently emerged as a highly accurate approach for finding approximate solutions to the many-electron Schr\\\"odinger equation. Despite its favorable scaling with the number of electrons, $\\mathcal{O}(n_\\text{el}^{4})$, the practical value of DL-VMC is limited by the high cost of optimizing the neural network weights for every system studied. To mitigate this problem, recent research has proposed optimizing a single neural network across multiple systems, reducing the cost per system. Here we extend this approach to solids, where similar b","authors_text":"Halvard Sutterud, Leon Gerard, Matthew Foulkes, Michael Scherbela, Philipp Grohs","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2024-05-13T09:59:59Z","title":"Transferable Neural Wavefunctions for Solids"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.07599","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":"sha256:88aac58bb27fd7edabb0e72322dda378856e5bc9b97b11f6ae991c6475c4167a","target":"record","created_at":"2026-07-05T08:18:25Z","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":"8281d8812ddd01db20b479021db504dc69240a60378b1910a709b9ba3be0fdf7","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2024-05-13T09:59:59Z","title_canon_sha256":"4f9bc1dc03090ef67ff13fe65096170d4ff464010f5a7fc97eef84bee50825b9"},"schema_version":"1.0","source":{"id":"2405.07599","kind":"arxiv","version":1}},"canonical_sha256":"24f7cc5caa17d038525c1195fec68319aa07694747393cacfd9cb58b647e284a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"24f7cc5caa17d038525c1195fec68319aa07694747393cacfd9cb58b647e284a","first_computed_at":"2026-07-05T08:18:25.264256Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:18:25.264256Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RaUcb+nysCFAApk8guJqNYKOx5oOL+2NGIfkgeDqA8rO4n+CPQ4G8s6L6eSAvFdBD8mmT/o4XHP9zkx6oR+qAw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:18:25.264766Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.07599","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:88aac58bb27fd7edabb0e72322dda378856e5bc9b97b11f6ae991c6475c4167a","sha256:b80bb0f0a3c47054f246f869e3e6163377435f58cb16ff3eee34bbb5be4cf828"],"state_sha256":"6827902bac11ff950086733ef9e7a5f64b696731fd984abfa11929aa5f267a95"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EbKYLGFVCdaQNXIIcM8jkGE+vcD42v4WKbBwlz0nhN8MBhyhRXPpbBdVT/O9h05tJxVNnS71180fC1hOYa/bCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T07:48:55.983533Z","bundle_sha256":"6591184b9b0ada3e1b0e14317b379e15eada0c36643b838d5196f84558f62cdd"}}