{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:X2QHSJV7JXMBA3JWDSDHGRI4T3","short_pith_number":"pith:X2QHSJV7","canonical_record":{"source":{"id":"2012.01442","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.dis-nn","submitted_at":"2020-12-02T19:00:03Z","cross_cats_sorted":["cond-mat.stat-mech","physics.comp-ph"],"title_canon_sha256":"96ddb4eaaa228d2880abc66f60f8df2a9a47e50cae10f0c3505c30211d5fb28a","abstract_canon_sha256":"cd265b939f3dfc6e6031c5ef1b14544fa31d4a1cc83a689bec53500126100959"},"schema_version":"1.0"},"canonical_sha256":"bea07926bf4dd8106d361c8673451c9ef68a857de7b407ee12e0cdec76045b5d","source":{"kind":"arxiv","id":"2012.01442","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.01442","created_at":"2026-07-05T02:04:48Z"},{"alias_kind":"arxiv_version","alias_value":"2012.01442v2","created_at":"2026-07-05T02:04:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.01442","created_at":"2026-07-05T02:04:48Z"},{"alias_kind":"pith_short_12","alias_value":"X2QHSJV7JXMB","created_at":"2026-07-05T02:04:48Z"},{"alias_kind":"pith_short_16","alias_value":"X2QHSJV7JXMBA3JW","created_at":"2026-07-05T02:04:48Z"},{"alias_kind":"pith_short_8","alias_value":"X2QHSJV7","created_at":"2026-07-05T02:04:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:X2QHSJV7JXMBA3JWDSDHGRI4T3","target":"record","payload":{"canonical_record":{"source":{"id":"2012.01442","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.dis-nn","submitted_at":"2020-12-02T19:00:03Z","cross_cats_sorted":["cond-mat.stat-mech","physics.comp-ph"],"title_canon_sha256":"96ddb4eaaa228d2880abc66f60f8df2a9a47e50cae10f0c3505c30211d5fb28a","abstract_canon_sha256":"cd265b939f3dfc6e6031c5ef1b14544fa31d4a1cc83a689bec53500126100959"},"schema_version":"1.0"},"canonical_sha256":"bea07926bf4dd8106d361c8673451c9ef68a857de7b407ee12e0cdec76045b5d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:04:48.708389Z","signature_b64":"uq95WhLa8LMoI2PVp1p/0q4abGqluK36NwjbFBUznmop22hkPH85WsOl6JRTcFpfyKOsJ/mFPBJ9eCWYcbpeCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bea07926bf4dd8106d361c8673451c9ef68a857de7b407ee12e0cdec76045b5d","last_reissued_at":"2026-07-05T02:04:48.707999Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:04:48.707999Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2012.01442","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:04:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NO9AUhAtCS3V1oAciG/bUPSiBkn6QHjg/q+pnmwtcikGHfmbd2vSTKpB5TqvGeCYLZ1gTSZRtHCUrQbh62buDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T03:28:00.931256Z"},"content_sha256":"303cada50bcff05711185ff7e6e2b4a932ef4a7ecbac9c77e8c93b7e04a3e782","schema_version":"1.0","event_id":"sha256:303cada50bcff05711185ff7e6e2b4a932ef4a7ecbac9c77e8c93b7e04a3e782"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:X2QHSJV7JXMBA3JWDSDHGRI4T3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generative models for sampling of lattice field theories","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.stat-mech","physics.comp-ph"],"primary_cat":"cond-mat.dis-nn","authors_text":"Bohdan Kulchytskyy, Juan Carrasquilla, Lauren E. Hayward, Matija Medvidovic","submitted_at":"2020-12-02T19:00:03Z","abstract_excerpt":"We explore a self-learning Markov chain Monte Carlo method based on the Adversarial Non-linear Independent Components Estimation Monte Carlo, which utilizes generative models and artificial neural networks. We apply this method to the scalar $\\varphi^4$ lattice field theory in the weak-coupling regime and, in doing so, greatly increase the system sizes explored to date with this self-learning technique. Our approach does not rely on a pre-existing training set of samples, as the agent systematically improves its performance by bootstrapping samples collected by the model itself. We evaluate th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.01442","kind":"arxiv","version":2},"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/2012.01442/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":"2026-07-05T02:04:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QyHtn7xPGlFQDVxmfhhT/aLy/51oGqeooIywcBcyqdY7J4ikD+sgIB/cZP2is8eMYbsx80LIdgia3fcZfKJzAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T03:28:00.931719Z"},"content_sha256":"a4d7fe60f0f10dfc7ef0fc1b1a0d587fb19cf9b2959c3bdc231569e3258b8cc1","schema_version":"1.0","event_id":"sha256:a4d7fe60f0f10dfc7ef0fc1b1a0d587fb19cf9b2959c3bdc231569e3258b8cc1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/X2QHSJV7JXMBA3JWDSDHGRI4T3/bundle.json","state_url":"https://pith.science/pith/X2QHSJV7JXMBA3JWDSDHGRI4T3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/X2QHSJV7JXMBA3JWDSDHGRI4T3/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":"2026-07-13T03:28:00Z","links":{"resolver":"https://pith.science/pith/X2QHSJV7JXMBA3JWDSDHGRI4T3","bundle":"https://pith.science/pith/X2QHSJV7JXMBA3JWDSDHGRI4T3/bundle.json","state":"https://pith.science/pith/X2QHSJV7JXMBA3JWDSDHGRI4T3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/X2QHSJV7JXMBA3JWDSDHGRI4T3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:X2QHSJV7JXMBA3JWDSDHGRI4T3","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":"cd265b939f3dfc6e6031c5ef1b14544fa31d4a1cc83a689bec53500126100959","cross_cats_sorted":["cond-mat.stat-mech","physics.comp-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.dis-nn","submitted_at":"2020-12-02T19:00:03Z","title_canon_sha256":"96ddb4eaaa228d2880abc66f60f8df2a9a47e50cae10f0c3505c30211d5fb28a"},"schema_version":"1.0","source":{"id":"2012.01442","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.01442","created_at":"2026-07-05T02:04:48Z"},{"alias_kind":"arxiv_version","alias_value":"2012.01442v2","created_at":"2026-07-05T02:04:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.01442","created_at":"2026-07-05T02:04:48Z"},{"alias_kind":"pith_short_12","alias_value":"X2QHSJV7JXMB","created_at":"2026-07-05T02:04:48Z"},{"alias_kind":"pith_short_16","alias_value":"X2QHSJV7JXMBA3JW","created_at":"2026-07-05T02:04:48Z"},{"alias_kind":"pith_short_8","alias_value":"X2QHSJV7","created_at":"2026-07-05T02:04:48Z"}],"graph_snapshots":[{"event_id":"sha256:a4d7fe60f0f10dfc7ef0fc1b1a0d587fb19cf9b2959c3bdc231569e3258b8cc1","target":"graph","created_at":"2026-07-05T02:04:48Z","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/2012.01442/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We explore a self-learning Markov chain Monte Carlo method based on the Adversarial Non-linear Independent Components Estimation Monte Carlo, which utilizes generative models and artificial neural networks. We apply this method to the scalar $\\varphi^4$ lattice field theory in the weak-coupling regime and, in doing so, greatly increase the system sizes explored to date with this self-learning technique. Our approach does not rely on a pre-existing training set of samples, as the agent systematically improves its performance by bootstrapping samples collected by the model itself. We evaluate th","authors_text":"Bohdan Kulchytskyy, Juan Carrasquilla, Lauren E. Hayward, Matija Medvidovic","cross_cats":["cond-mat.stat-mech","physics.comp-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.dis-nn","submitted_at":"2020-12-02T19:00:03Z","title":"Generative models for sampling of lattice field theories"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.01442","kind":"arxiv","version":2},"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":"sha256:303cada50bcff05711185ff7e6e2b4a932ef4a7ecbac9c77e8c93b7e04a3e782","target":"record","created_at":"2026-07-05T02:04:48Z","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":"cd265b939f3dfc6e6031c5ef1b14544fa31d4a1cc83a689bec53500126100959","cross_cats_sorted":["cond-mat.stat-mech","physics.comp-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.dis-nn","submitted_at":"2020-12-02T19:00:03Z","title_canon_sha256":"96ddb4eaaa228d2880abc66f60f8df2a9a47e50cae10f0c3505c30211d5fb28a"},"schema_version":"1.0","source":{"id":"2012.01442","kind":"arxiv","version":2}},"canonical_sha256":"bea07926bf4dd8106d361c8673451c9ef68a857de7b407ee12e0cdec76045b5d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bea07926bf4dd8106d361c8673451c9ef68a857de7b407ee12e0cdec76045b5d","first_computed_at":"2026-07-05T02:04:48.707999Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:04:48.707999Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uq95WhLa8LMoI2PVp1p/0q4abGqluK36NwjbFBUznmop22hkPH85WsOl6JRTcFpfyKOsJ/mFPBJ9eCWYcbpeCA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:04:48.708389Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.01442","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:303cada50bcff05711185ff7e6e2b4a932ef4a7ecbac9c77e8c93b7e04a3e782","sha256:a4d7fe60f0f10dfc7ef0fc1b1a0d587fb19cf9b2959c3bdc231569e3258b8cc1"],"state_sha256":"1a99c97299fcb92178e6accc041705fefeac9175446ba43df5206d9bdd370be3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mc/3t3trHqRDyUAr/ctGuzMyzxtPFIziNH2XAUmw7BtQP+X+6X+Z4xv0RhFO2I9vWg0a00hbJcDmG2zKAWzyCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-13T03:28:00.934385Z","bundle_sha256":"667c8314035e06efd65972d975a6f9ed9e724be3ccdd4f3698fcaabd0b96921a"}}