{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:45AMSDU6VU222AR7TC7JYC34TA","short_pith_number":"pith:45AMSDU6","canonical_record":{"source":{"id":"2505.19619","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-26T07:34:11Z","cross_cats_sorted":["cond-mat.str-el","hep-lat","physics.comp-ph"],"title_canon_sha256":"0ab497ee164cacc6e113408e65aa00915a732a90f14548f7ab03d8d32e291ed9","abstract_canon_sha256":"eeab0a94cd8f1954314f55fda364a89f33c0c08088c276b0f274ed51525421f8"},"schema_version":"1.0"},"canonical_sha256":"e740c90e9ead35ad023f98be9c0b7c981ae0a2933f103e101b26e45376250f7b","source":{"kind":"arxiv","id":"2505.19619","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.19619","created_at":"2026-07-05T11:16:58Z"},{"alias_kind":"arxiv_version","alias_value":"2505.19619v2","created_at":"2026-07-05T11:16:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.19619","created_at":"2026-07-05T11:16:58Z"},{"alias_kind":"pith_short_12","alias_value":"45AMSDU6VU22","created_at":"2026-07-05T11:16:58Z"},{"alias_kind":"pith_short_16","alias_value":"45AMSDU6VU222AR7","created_at":"2026-07-05T11:16:58Z"},{"alias_kind":"pith_short_8","alias_value":"45AMSDU6","created_at":"2026-07-05T11:16:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:45AMSDU6VU222AR7TC7JYC34TA","target":"record","payload":{"canonical_record":{"source":{"id":"2505.19619","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-26T07:34:11Z","cross_cats_sorted":["cond-mat.str-el","hep-lat","physics.comp-ph"],"title_canon_sha256":"0ab497ee164cacc6e113408e65aa00915a732a90f14548f7ab03d8d32e291ed9","abstract_canon_sha256":"eeab0a94cd8f1954314f55fda364a89f33c0c08088c276b0f274ed51525421f8"},"schema_version":"1.0"},"canonical_sha256":"e740c90e9ead35ad023f98be9c0b7c981ae0a2933f103e101b26e45376250f7b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:16:58.800000Z","signature_b64":"zlr3H7qGtBbolGMtFcB57P2fVsq/Z16bitb7+i08iC1GXulbyMILfDOlwWvEI78o9wQI8/xeA+s6qVsnpZrPAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e740c90e9ead35ad023f98be9c0b7c981ae0a2933f103e101b26e45376250f7b","last_reissued_at":"2026-07-05T11:16:58.799419Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:16:58.799419Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.19619","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":"2026-07-05T11:16:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x/p9z7IN9CcrWxdFvOlbzlnEmftl42HenvRkZAqRWqawiMk4fPg9sXqFwBWWaZFf86HpRbPARaeVIWIj23JZAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T08:35:23.609019Z"},"content_sha256":"a6daf5f20818837eaa9d78832ff841229cf1167b67592d8591c38434e7adade3","schema_version":"1.0","event_id":"sha256:a6daf5f20818837eaa9d78832ff841229cf1167b67592d8591c38434e7adade3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:45AMSDU6VU222AR7TC7JYC34TA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing Flows","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cond-mat.str-el","hep-lat","physics.comp-ph"],"primary_cat":"cs.LG","authors_text":"Dominic Schuh, Janik Kreit, Kim A. Nicoli, Lena Funcke","submitted_at":"2025-05-26T07:34:11Z","abstract_excerpt":"Deep generative models have recently garnered significant attention across various fields, from physics to chemistry, where sampling from unnormalized Boltzmann-like distributions represents a fundamental challenge. In particular, autoregressive models and normalizing flows have become prominent due to their appealing ability to yield closed-form probability densities. Moreover, it is well-established that incorporating prior knowledge - such as symmetries - into deep neural networks can substantially improve training performances. In this context, recent advances have focused on developing sy"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.19619","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/2505.19619/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":"2026-07-05T11:16:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G8c2YTYxnJKfqK9xvSsyxIwF87zISzaAQ3PRR9h/xOxn6XsbgHa/rQBW4L9hArWjjd6V024M5r1NQ1xFCkYYAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T08:35:23.609704Z"},"content_sha256":"ee7228038ed4cf12e7898c8ad288e138e9e3f2377eb7665cd5edc2134842f054","schema_version":"1.0","event_id":"sha256:ee7228038ed4cf12e7898c8ad288e138e9e3f2377eb7665cd5edc2134842f054"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/45AMSDU6VU222AR7TC7JYC34TA/bundle.json","state_url":"https://pith.science/pith/45AMSDU6VU222AR7TC7JYC34TA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/45AMSDU6VU222AR7TC7JYC34TA/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":"2026-08-05T08:35:23Z","links":{"resolver":"https://pith.science/pith/45AMSDU6VU222AR7TC7JYC34TA","bundle":"https://pith.science/pith/45AMSDU6VU222AR7TC7JYC34TA/bundle.json","state":"https://pith.science/pith/45AMSDU6VU222AR7TC7JYC34TA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/45AMSDU6VU222AR7TC7JYC34TA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:45AMSDU6VU222AR7TC7JYC34TA","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":"eeab0a94cd8f1954314f55fda364a89f33c0c08088c276b0f274ed51525421f8","cross_cats_sorted":["cond-mat.str-el","hep-lat","physics.comp-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-26T07:34:11Z","title_canon_sha256":"0ab497ee164cacc6e113408e65aa00915a732a90f14548f7ab03d8d32e291ed9"},"schema_version":"1.0","source":{"id":"2505.19619","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.19619","created_at":"2026-07-05T11:16:58Z"},{"alias_kind":"arxiv_version","alias_value":"2505.19619v2","created_at":"2026-07-05T11:16:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.19619","created_at":"2026-07-05T11:16:58Z"},{"alias_kind":"pith_short_12","alias_value":"45AMSDU6VU22","created_at":"2026-07-05T11:16:58Z"},{"alias_kind":"pith_short_16","alias_value":"45AMSDU6VU222AR7","created_at":"2026-07-05T11:16:58Z"},{"alias_kind":"pith_short_8","alias_value":"45AMSDU6","created_at":"2026-07-05T11:16:58Z"}],"graph_snapshots":[{"event_id":"sha256:ee7228038ed4cf12e7898c8ad288e138e9e3f2377eb7665cd5edc2134842f054","target":"graph","created_at":"2026-07-05T11:16:58Z","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/2505.19619/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep generative models have recently garnered significant attention across various fields, from physics to chemistry, where sampling from unnormalized Boltzmann-like distributions represents a fundamental challenge. In particular, autoregressive models and normalizing flows have become prominent due to their appealing ability to yield closed-form probability densities. Moreover, it is well-established that incorporating prior knowledge - such as symmetries - into deep neural networks can substantially improve training performances. In this context, recent advances have focused on developing sy","authors_text":"Dominic Schuh, Janik Kreit, Kim A. Nicoli, Lena Funcke","cross_cats":["cond-mat.str-el","hep-lat","physics.comp-ph"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-26T07:34:11Z","title":"SESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing Flows"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.19619","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:a6daf5f20818837eaa9d78832ff841229cf1167b67592d8591c38434e7adade3","target":"record","created_at":"2026-07-05T11:16:58Z","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":"eeab0a94cd8f1954314f55fda364a89f33c0c08088c276b0f274ed51525421f8","cross_cats_sorted":["cond-mat.str-el","hep-lat","physics.comp-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-26T07:34:11Z","title_canon_sha256":"0ab497ee164cacc6e113408e65aa00915a732a90f14548f7ab03d8d32e291ed9"},"schema_version":"1.0","source":{"id":"2505.19619","kind":"arxiv","version":2}},"canonical_sha256":"e740c90e9ead35ad023f98be9c0b7c981ae0a2933f103e101b26e45376250f7b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e740c90e9ead35ad023f98be9c0b7c981ae0a2933f103e101b26e45376250f7b","first_computed_at":"2026-07-05T11:16:58.799419Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:16:58.799419Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zlr3H7qGtBbolGMtFcB57P2fVsq/Z16bitb7+i08iC1GXulbyMILfDOlwWvEI78o9wQI8/xeA+s6qVsnpZrPAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:16:58.800000Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.19619","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a6daf5f20818837eaa9d78832ff841229cf1167b67592d8591c38434e7adade3","sha256:ee7228038ed4cf12e7898c8ad288e138e9e3f2377eb7665cd5edc2134842f054"],"state_sha256":"0d08aacb8215d3091311915eb8f8979da592fa4b83d4f0c4f32f49891c945e3b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bA+F7kCHavOt9AICwakIIYPhgo4iuItZfm9aHK0MtWF+BjpRgUIpWNB6ROlMq1H694m0wOVuNUDrKZ0iEhelAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T08:35:23.615441Z","bundle_sha256":"32121f72fb0b4ce0c305cc4bbcd6b4f55c52e8e3e5535a76dd503b1d15d0de54"}}