{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:YYZZRNCRITI6XOBAIFTD5P25YY","short_pith_number":"pith:YYZZRNCR","canonical_record":{"source":{"id":"2003.06228","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2020-03-09T18:05:47Z","cross_cats_sorted":["cond-mat.dis-nn","cond-mat.str-el"],"title_canon_sha256":"336cbd445b9139c38972851e47ecd94b35b15c337c572986f8d78b8cd9f26e04","abstract_canon_sha256":"e5a64048667562a4f4bf095583bded63b71552b6e1dba6f94c6bdd8964416571"},"schema_version":"1.0"},"canonical_sha256":"c63398b45144d1ebb82041663ebf5dc625f2b2de7f879104fb11fea5c9e1eb79","source":{"kind":"arxiv","id":"2003.06228","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.06228","created_at":"2026-07-05T00:47:44Z"},{"alias_kind":"arxiv_version","alias_value":"2003.06228v1","created_at":"2026-07-05T00:47:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.06228","created_at":"2026-07-05T00:47:44Z"},{"alias_kind":"pith_short_12","alias_value":"YYZZRNCRITI6","created_at":"2026-07-05T00:47:44Z"},{"alias_kind":"pith_short_16","alias_value":"YYZZRNCRITI6XOBA","created_at":"2026-07-05T00:47:44Z"},{"alias_kind":"pith_short_8","alias_value":"YYZZRNCR","created_at":"2026-07-05T00:47:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:YYZZRNCRITI6XOBAIFTD5P25YY","target":"record","payload":{"canonical_record":{"source":{"id":"2003.06228","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2020-03-09T18:05:47Z","cross_cats_sorted":["cond-mat.dis-nn","cond-mat.str-el"],"title_canon_sha256":"336cbd445b9139c38972851e47ecd94b35b15c337c572986f8d78b8cd9f26e04","abstract_canon_sha256":"e5a64048667562a4f4bf095583bded63b71552b6e1dba6f94c6bdd8964416571"},"schema_version":"1.0"},"canonical_sha256":"c63398b45144d1ebb82041663ebf5dc625f2b2de7f879104fb11fea5c9e1eb79","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:47:44.814523Z","signature_b64":"14mNmIrbSwyHC+SScCquyuog/jJJQZPJIxuReXRPkaL5CYZKofvhb7JK6E/vXll39yd1TezV2o3W58YN1MWiDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c63398b45144d1ebb82041663ebf5dc625f2b2de7f879104fb11fea5c9e1eb79","last_reissued_at":"2026-07-05T00:47:44.814021Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:47:44.814021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2003.06228","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":"2026-07-05T00:47:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HE/hfmZwhE7Ido5fG1R6Bcsh3uLLmIDc9esuWgeHhUw2k5aqzIkS+cEKPviTlACfld9pUdcuNgOPnCP2HcZ/AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T07:37:43.929306Z"},"content_sha256":"04e408f26bb2d64f7f05a2d1e1930508bcc8b0c2a4b7771112a281b5254f3783","schema_version":"1.0","event_id":"sha256:04e408f26bb2d64f7f05a2d1e1930508bcc8b0c2a4b7771112a281b5254f3783"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:YYZZRNCRITI6XOBAIFTD5P25YY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Iterative Retraining of Quantum Spin Models Using Recurrent Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.dis-nn","cond-mat.str-el"],"primary_cat":"physics.comp-ph","authors_text":"Christopher Roth","submitted_at":"2020-03-09T18:05:47Z","abstract_excerpt":"Modeling quantum many-body systems is enormously challenging due to the exponential scaling of Hilbert dimension with system size. Finding efficient compressions of the wavefunction is key to building scalable models. Here, we introduce iterative retraining, an approach for simulating bulk quantum systems that uses recurrent neural networks (RNNs). By mapping translations in the lattice vector to the time index of an RNN, we are able to efficiently capture the near translational invariance of large lattices. We show that we can use this symmetry mapping to simulate very large systems in one an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.06228","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/2003.06228/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":"2026-07-05T00:47:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TiEJGjMU8t4die8FzszvKN3cSUL/DbDysXkKcVndrBwIn7dkZC7sJ6NY0OzCGGHbCph1MLbubvwLBA9G7sosCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T07:37:43.930193Z"},"content_sha256":"f9aaaa972f5922def8535bb7bcef49be8a0d689a8498af170f0761be63c90710","schema_version":"1.0","event_id":"sha256:f9aaaa972f5922def8535bb7bcef49be8a0d689a8498af170f0761be63c90710"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YYZZRNCRITI6XOBAIFTD5P25YY/bundle.json","state_url":"https://pith.science/pith/YYZZRNCRITI6XOBAIFTD5P25YY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YYZZRNCRITI6XOBAIFTD5P25YY/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":"2026-08-05T07:37:43Z","links":{"resolver":"https://pith.science/pith/YYZZRNCRITI6XOBAIFTD5P25YY","bundle":"https://pith.science/pith/YYZZRNCRITI6XOBAIFTD5P25YY/bundle.json","state":"https://pith.science/pith/YYZZRNCRITI6XOBAIFTD5P25YY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YYZZRNCRITI6XOBAIFTD5P25YY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:YYZZRNCRITI6XOBAIFTD5P25YY","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":"e5a64048667562a4f4bf095583bded63b71552b6e1dba6f94c6bdd8964416571","cross_cats_sorted":["cond-mat.dis-nn","cond-mat.str-el"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2020-03-09T18:05:47Z","title_canon_sha256":"336cbd445b9139c38972851e47ecd94b35b15c337c572986f8d78b8cd9f26e04"},"schema_version":"1.0","source":{"id":"2003.06228","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.06228","created_at":"2026-07-05T00:47:44Z"},{"alias_kind":"arxiv_version","alias_value":"2003.06228v1","created_at":"2026-07-05T00:47:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.06228","created_at":"2026-07-05T00:47:44Z"},{"alias_kind":"pith_short_12","alias_value":"YYZZRNCRITI6","created_at":"2026-07-05T00:47:44Z"},{"alias_kind":"pith_short_16","alias_value":"YYZZRNCRITI6XOBA","created_at":"2026-07-05T00:47:44Z"},{"alias_kind":"pith_short_8","alias_value":"YYZZRNCR","created_at":"2026-07-05T00:47:44Z"}],"graph_snapshots":[{"event_id":"sha256:f9aaaa972f5922def8535bb7bcef49be8a0d689a8498af170f0761be63c90710","target":"graph","created_at":"2026-07-05T00:47:44Z","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/2003.06228/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modeling quantum many-body systems is enormously challenging due to the exponential scaling of Hilbert dimension with system size. Finding efficient compressions of the wavefunction is key to building scalable models. Here, we introduce iterative retraining, an approach for simulating bulk quantum systems that uses recurrent neural networks (RNNs). By mapping translations in the lattice vector to the time index of an RNN, we are able to efficiently capture the near translational invariance of large lattices. We show that we can use this symmetry mapping to simulate very large systems in one an","authors_text":"Christopher Roth","cross_cats":["cond-mat.dis-nn","cond-mat.str-el"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2020-03-09T18:05:47Z","title":"Iterative Retraining of Quantum Spin Models Using Recurrent Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.06228","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":"sha256:04e408f26bb2d64f7f05a2d1e1930508bcc8b0c2a4b7771112a281b5254f3783","target":"record","created_at":"2026-07-05T00:47:44Z","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":"e5a64048667562a4f4bf095583bded63b71552b6e1dba6f94c6bdd8964416571","cross_cats_sorted":["cond-mat.dis-nn","cond-mat.str-el"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2020-03-09T18:05:47Z","title_canon_sha256":"336cbd445b9139c38972851e47ecd94b35b15c337c572986f8d78b8cd9f26e04"},"schema_version":"1.0","source":{"id":"2003.06228","kind":"arxiv","version":1}},"canonical_sha256":"c63398b45144d1ebb82041663ebf5dc625f2b2de7f879104fb11fea5c9e1eb79","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c63398b45144d1ebb82041663ebf5dc625f2b2de7f879104fb11fea5c9e1eb79","first_computed_at":"2026-07-05T00:47:44.814021Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:47:44.814021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"14mNmIrbSwyHC+SScCquyuog/jJJQZPJIxuReXRPkaL5CYZKofvhb7JK6E/vXll39yd1TezV2o3W58YN1MWiDw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:47:44.814523Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.06228","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:04e408f26bb2d64f7f05a2d1e1930508bcc8b0c2a4b7771112a281b5254f3783","sha256:f9aaaa972f5922def8535bb7bcef49be8a0d689a8498af170f0761be63c90710"],"state_sha256":"97b030f5af0780f4f17c297159b536e046d9fa5a0c1d2eb9eace1b2287231794"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hs5gN4cnoausZJ2j2QYBO6PucUweJ8RwGn5LOFQmaO0qZFzANedb3cqJLAdUKw6ukahW3IFf6ME7apu8EWbJDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T07:37:43.936801Z","bundle_sha256":"04be72f47000b78983b325516b37b7201bd329349251214917eee6d2abeb24de"}}