{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:WC2APHKAHEEGWJYOIYSR7CDBBJ","short_pith_number":"pith:WC2APHKA","canonical_record":{"source":{"id":"2002.05169","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2020-02-12T19:00:02Z","cross_cats_sorted":["cond-mat.dis-nn","cs.LG","hep-ph","hep-th","stat.ML"],"title_canon_sha256":"e1d8ff6a590e423adce4e7f597060e141639db53e9826b1c3df8e41132c1a372","abstract_canon_sha256":"5c3ef84c62b159a1bdf6db56e622370370c8414c7d61219394a73d6e79fda2e0"},"schema_version":"1.0"},"canonical_sha256":"b0b4079d4039086b270e46251f88610a7ca4c5783993b2cbb45d092234931a4a","source":{"kind":"arxiv","id":"2002.05169","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.05169","created_at":"2026-07-05T01:12:37Z"},{"alias_kind":"arxiv_version","alias_value":"2002.05169v1","created_at":"2026-07-05T01:12:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.05169","created_at":"2026-07-05T01:12:37Z"},{"alias_kind":"pith_short_12","alias_value":"WC2APHKAHEEG","created_at":"2026-07-05T01:12:37Z"},{"alias_kind":"pith_short_16","alias_value":"WC2APHKAHEEGWJYO","created_at":"2026-07-05T01:12:37Z"},{"alias_kind":"pith_short_8","alias_value":"WC2APHKA","created_at":"2026-07-05T01:12:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:WC2APHKAHEEGWJYOIYSR7CDBBJ","target":"record","payload":{"canonical_record":{"source":{"id":"2002.05169","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2020-02-12T19:00:02Z","cross_cats_sorted":["cond-mat.dis-nn","cs.LG","hep-ph","hep-th","stat.ML"],"title_canon_sha256":"e1d8ff6a590e423adce4e7f597060e141639db53e9826b1c3df8e41132c1a372","abstract_canon_sha256":"5c3ef84c62b159a1bdf6db56e622370370c8414c7d61219394a73d6e79fda2e0"},"schema_version":"1.0"},"canonical_sha256":"b0b4079d4039086b270e46251f88610a7ca4c5783993b2cbb45d092234931a4a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:12:37.604014Z","signature_b64":"4tC8xZnw8PdCGSlpDToitzE0RiLPyui5R3Fc9GQaw2o37U5kJq6gRRdfzJbgRZhKCAmLh5zrfJjQ/Jhxz6D8BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b0b4079d4039086b270e46251f88610a7ca4c5783993b2cbb45d092234931a4a","last_reissued_at":"2026-07-05T01:12:37.603418Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:12:37.603418Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2002.05169","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":"2026-07-05T01:12:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pWU600CHqiP3o5lRGp8H3ynxP/g+d9KeXkF6qlU7GF2MPEam8lCU8m5Q9z9zZuDHCbHZ+TTujyTvroXSM5edCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T21:15:43.595506Z"},"content_sha256":"5eb95fb3335ea579ad14f7c2472be0a6bee91a57f07080d09a3871f91480f1d8","schema_version":"1.0","event_id":"sha256:5eb95fb3335ea579ad14f7c2472be0a6bee91a57f07080d09a3871f91480f1d8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:WC2APHKAHEEGWJYOIYSR7CDBBJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Connecting Dualities and Machine Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.dis-nn","cs.LG","hep-ph","hep-th","stat.ML"],"primary_cat":"physics.comp-ph","authors_text":"Philip Betzler, Sven Krippendorf","submitted_at":"2020-02-12T19:00:02Z","abstract_excerpt":"Dualities are widely used in quantum field theories and string theory to obtain correlation functions at high accuracy. Here we present examples where dual data representations are useful in supervised classification, linking machine learning and typical tasks in theoretical physics. We then discuss how such beneficial representations can be enforced in the latent dimension of neural networks. We find that additional contributions to the loss based on feature separation, feature matching with respect to desired representations, and a good performance on a `simple' correlation function can lead"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.05169","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/2002.05169/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":"2026-07-05T01:12:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jyrefDH9KQ1XSxgPF33UMJt/dzZFXCcszXOmm5oSTA9k3WmOoFeYeqK0fFepd5qmvj2AwxgkUl8+WSMGUA3vDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T21:15:43.596112Z"},"content_sha256":"12b50ec1a43f012c54d9d712e335d8c56d1a9084434cdf3f01ff19a4eb53da99","schema_version":"1.0","event_id":"sha256:12b50ec1a43f012c54d9d712e335d8c56d1a9084434cdf3f01ff19a4eb53da99"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WC2APHKAHEEGWJYOIYSR7CDBBJ/bundle.json","state_url":"https://pith.science/pith/WC2APHKAHEEGWJYOIYSR7CDBBJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WC2APHKAHEEGWJYOIYSR7CDBBJ/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":"2026-08-03T21:15:43Z","links":{"resolver":"https://pith.science/pith/WC2APHKAHEEGWJYOIYSR7CDBBJ","bundle":"https://pith.science/pith/WC2APHKAHEEGWJYOIYSR7CDBBJ/bundle.json","state":"https://pith.science/pith/WC2APHKAHEEGWJYOIYSR7CDBBJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WC2APHKAHEEGWJYOIYSR7CDBBJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:WC2APHKAHEEGWJYOIYSR7CDBBJ","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":"5c3ef84c62b159a1bdf6db56e622370370c8414c7d61219394a73d6e79fda2e0","cross_cats_sorted":["cond-mat.dis-nn","cs.LG","hep-ph","hep-th","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2020-02-12T19:00:02Z","title_canon_sha256":"e1d8ff6a590e423adce4e7f597060e141639db53e9826b1c3df8e41132c1a372"},"schema_version":"1.0","source":{"id":"2002.05169","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.05169","created_at":"2026-07-05T01:12:37Z"},{"alias_kind":"arxiv_version","alias_value":"2002.05169v1","created_at":"2026-07-05T01:12:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.05169","created_at":"2026-07-05T01:12:37Z"},{"alias_kind":"pith_short_12","alias_value":"WC2APHKAHEEG","created_at":"2026-07-05T01:12:37Z"},{"alias_kind":"pith_short_16","alias_value":"WC2APHKAHEEGWJYO","created_at":"2026-07-05T01:12:37Z"},{"alias_kind":"pith_short_8","alias_value":"WC2APHKA","created_at":"2026-07-05T01:12:37Z"}],"graph_snapshots":[{"event_id":"sha256:12b50ec1a43f012c54d9d712e335d8c56d1a9084434cdf3f01ff19a4eb53da99","target":"graph","created_at":"2026-07-05T01:12:37Z","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/2002.05169/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dualities are widely used in quantum field theories and string theory to obtain correlation functions at high accuracy. Here we present examples where dual data representations are useful in supervised classification, linking machine learning and typical tasks in theoretical physics. We then discuss how such beneficial representations can be enforced in the latent dimension of neural networks. We find that additional contributions to the loss based on feature separation, feature matching with respect to desired representations, and a good performance on a `simple' correlation function can lead","authors_text":"Philip Betzler, Sven Krippendorf","cross_cats":["cond-mat.dis-nn","cs.LG","hep-ph","hep-th","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2020-02-12T19:00:02Z","title":"Connecting Dualities and Machine Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.05169","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":"sha256:5eb95fb3335ea579ad14f7c2472be0a6bee91a57f07080d09a3871f91480f1d8","target":"record","created_at":"2026-07-05T01:12:37Z","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":"5c3ef84c62b159a1bdf6db56e622370370c8414c7d61219394a73d6e79fda2e0","cross_cats_sorted":["cond-mat.dis-nn","cs.LG","hep-ph","hep-th","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2020-02-12T19:00:02Z","title_canon_sha256":"e1d8ff6a590e423adce4e7f597060e141639db53e9826b1c3df8e41132c1a372"},"schema_version":"1.0","source":{"id":"2002.05169","kind":"arxiv","version":1}},"canonical_sha256":"b0b4079d4039086b270e46251f88610a7ca4c5783993b2cbb45d092234931a4a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b0b4079d4039086b270e46251f88610a7ca4c5783993b2cbb45d092234931a4a","first_computed_at":"2026-07-05T01:12:37.603418Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:12:37.603418Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4tC8xZnw8PdCGSlpDToitzE0RiLPyui5R3Fc9GQaw2o37U5kJq6gRRdfzJbgRZhKCAmLh5zrfJjQ/Jhxz6D8BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:12:37.604014Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.05169","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5eb95fb3335ea579ad14f7c2472be0a6bee91a57f07080d09a3871f91480f1d8","sha256:12b50ec1a43f012c54d9d712e335d8c56d1a9084434cdf3f01ff19a4eb53da99"],"state_sha256":"f77775ab32a02016a679a3e7fa3fb62630d59d81e61e41ba4292429b308bfdb8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Nkr5DCzW6VeBGElhGPg88UGmQWSmWAfaKs8MFCNNnDjIkZfpnpui/tVHvevjgeqWgvO3mgt5YNK02eWdiPoQBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T21:15:43.600991Z","bundle_sha256":"cd6e72027ff1ee73548814318aaa2c747d1046d05b950a3c0da86f58b6f758b6"}}