{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:RPELMPQWYSI27DRZFQJLTYOL5A","short_pith_number":"pith:RPELMPQW","schema_version":"1.0","canonical_sha256":"8bc8b63e16c491af8e392c12b9e1cbe83db699742074e02ed35608e386235bd3","source":{"kind":"arxiv","id":"2111.04761","version":1},"attestation_state":"computed","paper":{"title":"The World in a Grain of Sand: Condensing the String Vacuum Degeneracy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ph","math.AG"],"primary_cat":"hep-th","authors_text":"M. Zaid Zaz, Shailesh Lal, Yang-Hui He","submitted_at":"2021-11-08T19:00:14Z","abstract_excerpt":"We propose a novel approach toward the vacuum degeneracy problem of the string landscape, by finding an efficient measure of similarity amongst compactification scenarios. Using a class of some one million Calabi-Yau manifolds as concrete examples, the paradigm of few-shot machine-learning and Siamese Neural Networks represents them as points in R(3) where the similarity score between two manifolds is the Euclidean distance between their R(3) representatives. Using these methods, we can compress the search space for exceedingly rare manifolds to within one percent of the original data by train"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2111.04761","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-th","submitted_at":"2021-11-08T19:00:14Z","cross_cats_sorted":["hep-ph","math.AG"],"title_canon_sha256":"9b13df346c909341fff61562e1e55a5f33facced6f10c5b555eb89e8a388f96a","abstract_canon_sha256":"5e682f3b0cd4f27010ff48594e9753c2070dc44bb1463897e9d248e6c6b20579"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:44:26.001597Z","signature_b64":"JzuwUmeylF+yYR8o+IxtZ3vZODEDcxiafk5DC6HuIxAJin9lOhgTdKUk1Ohkve2im9xsYpIkZ2EIezXNYFn6Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8bc8b63e16c491af8e392c12b9e1cbe83db699742074e02ed35608e386235bd3","last_reissued_at":"2026-07-05T03:44:26.001065Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:44:26.001065Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The World in a Grain of Sand: Condensing the String Vacuum Degeneracy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ph","math.AG"],"primary_cat":"hep-th","authors_text":"M. Zaid Zaz, Shailesh Lal, Yang-Hui He","submitted_at":"2021-11-08T19:00:14Z","abstract_excerpt":"We propose a novel approach toward the vacuum degeneracy problem of the string landscape, by finding an efficient measure of similarity amongst compactification scenarios. Using a class of some one million Calabi-Yau manifolds as concrete examples, the paradigm of few-shot machine-learning and Siamese Neural Networks represents them as points in R(3) where the similarity score between two manifolds is the Euclidean distance between their R(3) representatives. Using these methods, we can compress the search space for exceedingly rare manifolds to within one percent of the original data by train"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.04761","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/2111.04761/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2111.04761","created_at":"2026-07-05T03:44:26.001138+00:00"},{"alias_kind":"arxiv_version","alias_value":"2111.04761v1","created_at":"2026-07-05T03:44:26.001138+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.04761","created_at":"2026-07-05T03:44:26.001138+00:00"},{"alias_kind":"pith_short_12","alias_value":"RPELMPQWYSI2","created_at":"2026-07-05T03:44:26.001138+00:00"},{"alias_kind":"pith_short_16","alias_value":"RPELMPQWYSI27DRZ","created_at":"2026-07-05T03:44:26.001138+00:00"},{"alias_kind":"pith_short_8","alias_value":"RPELMPQW","created_at":"2026-07-05T03:44:26.001138+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/RPELMPQWYSI27DRZFQJLTYOL5A","json":"https://pith.science/pith/RPELMPQWYSI27DRZFQJLTYOL5A.json","graph_json":"https://pith.science/api/pith-number/RPELMPQWYSI27DRZFQJLTYOL5A/graph.json","events_json":"https://pith.science/api/pith-number/RPELMPQWYSI27DRZFQJLTYOL5A/events.json","paper":"https://pith.science/paper/RPELMPQW"},"agent_actions":{"view_html":"https://pith.science/pith/RPELMPQWYSI27DRZFQJLTYOL5A","download_json":"https://pith.science/pith/RPELMPQWYSI27DRZFQJLTYOL5A.json","view_paper":"https://pith.science/paper/RPELMPQW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2111.04761&json=true","fetch_graph":"https://pith.science/api/pith-number/RPELMPQWYSI27DRZFQJLTYOL5A/graph.json","fetch_events":"https://pith.science/api/pith-number/RPELMPQWYSI27DRZFQJLTYOL5A/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RPELMPQWYSI27DRZFQJLTYOL5A/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RPELMPQWYSI27DRZFQJLTYOL5A/action/storage_attestation","attest_author":"https://pith.science/pith/RPELMPQWYSI27DRZFQJLTYOL5A/action/author_attestation","sign_citation":"https://pith.science/pith/RPELMPQWYSI27DRZFQJLTYOL5A/action/citation_signature","submit_replication":"https://pith.science/pith/RPELMPQWYSI27DRZFQJLTYOL5A/action/replication_record"}},"created_at":"2026-07-05T03:44:26.001138+00:00","updated_at":"2026-07-05T03:44:26.001138+00:00"}