{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SYESDAOK63GSMEUVZGMT4EL5LE","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":"22ce5c7c921dd2b5c1886a3fe156c70176913ced86ef8554c2e6c638566e856f","cross_cats_sorted":["cond-mat.dis-nn","cond-mat.stat-mech","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-lat","submitted_at":"2024-05-25T16:00:37Z","title_canon_sha256":"14da38445c43b9f3b8240b9082074b77461645f9116a01d33bb4138673c127f8"},"schema_version":"1.0","source":{"id":"2405.16288","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.16288","created_at":"2026-07-05T08:23:28Z"},{"alias_kind":"arxiv_version","alias_value":"2405.16288v1","created_at":"2026-07-05T08:23:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.16288","created_at":"2026-07-05T08:23:28Z"},{"alias_kind":"pith_short_12","alias_value":"SYESDAOK63GS","created_at":"2026-07-05T08:23:28Z"},{"alias_kind":"pith_short_16","alias_value":"SYESDAOK63GSMEUV","created_at":"2026-07-05T08:23:28Z"},{"alias_kind":"pith_short_8","alias_value":"SYESDAOK","created_at":"2026-07-05T08:23:28Z"}],"graph_snapshots":[{"event_id":"sha256:3974756a02552839ca9eebeafdfe6bc0e9afaec84d85db2ea95880d746ccadcc","target":"graph","created_at":"2026-07-05T08:23:28Z","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/2405.16288/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We review recent developments of machine learning algorithms pertinent to the inverse renormalization group, which was originally established as a generative numerical method by Ron-Swendsen-Brandt via the implementation of compatible Monte Carlo simulations. Inverse renormalization group methods enable the iterative generation of configurations for increasing lattice size without the critical slowing down effect. We discuss the construction of inverse renormalization group transformations with the use of convolutional neural networks and present applications in models of statistical mechanics","authors_text":"Dimitrios Bachtis","cross_cats":["cond-mat.dis-nn","cond-mat.stat-mech","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-lat","submitted_at":"2024-05-25T16:00:37Z","title":"Generating configurations of increasing lattice size with machine learning and the inverse renormalization group"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.16288","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:e9475c3404b300f3aed9dc575ea0de4910bd8c81918e1a7f009f15a27b2a9a7b","target":"record","created_at":"2026-07-05T08:23:28Z","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":"22ce5c7c921dd2b5c1886a3fe156c70176913ced86ef8554c2e6c638566e856f","cross_cats_sorted":["cond-mat.dis-nn","cond-mat.stat-mech","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-lat","submitted_at":"2024-05-25T16:00:37Z","title_canon_sha256":"14da38445c43b9f3b8240b9082074b77461645f9116a01d33bb4138673c127f8"},"schema_version":"1.0","source":{"id":"2405.16288","kind":"arxiv","version":1}},"canonical_sha256":"96092181caf6cd261295c9993e117d591f0672de28a13687c52f2ddd4e392eb0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"96092181caf6cd261295c9993e117d591f0672de28a13687c52f2ddd4e392eb0","first_computed_at":"2026-07-05T08:23:28.202357Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:23:28.202357Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uRnpOH4TRvgq9u0O7FW41Kxm2UQ2Hg7IGqJ3a62fneYEZwNt6ZaNe2sIAXRwAP7d+xhEXjhdvouGGnMPaAUSCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:23:28.202837Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.16288","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e9475c3404b300f3aed9dc575ea0de4910bd8c81918e1a7f009f15a27b2a9a7b","sha256:3974756a02552839ca9eebeafdfe6bc0e9afaec84d85db2ea95880d746ccadcc"],"state_sha256":"aa070eb63a2926cc96c6d6917ca25f3aee8665d5331421720e824bab0018fa3f"}