{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NRAMEU7A4SSBVQNLWD7OOBBEY5","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":"9914d6588ff3328cb023a0177a57a70de1c9e8d00365ca1c2c80c69942cdea3c","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-29T18:16:51Z","title_canon_sha256":"6096aeeca887ce992e3ad383170e79b0c8b9b654cd2e93c77177fa423b42926d"},"schema_version":"1.0","source":{"id":"2606.00241","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.00241","created_at":"2026-06-02T01:03:22Z"},{"alias_kind":"arxiv_version","alias_value":"2606.00241v1","created_at":"2026-06-02T01:03:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00241","created_at":"2026-06-02T01:03:22Z"},{"alias_kind":"pith_short_12","alias_value":"NRAMEU7A4SSB","created_at":"2026-06-02T01:03:22Z"},{"alias_kind":"pith_short_16","alias_value":"NRAMEU7A4SSBVQNL","created_at":"2026-06-02T01:03:22Z"},{"alias_kind":"pith_short_8","alias_value":"NRAMEU7A","created_at":"2026-06-02T01:03:22Z"}],"graph_snapshots":[{"event_id":"sha256:ae02d41b18fc8c1409147b6df03ec36312ae37257c585fc462ea0d4a083e42bc","target":"graph","created_at":"2026-06-02T01:03:22Z","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/2606.00241/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Measuring statistical dependency between high-dimensional random variables is a fundamental task in data science and machine learning. Neural mutual information (MI) estimators offer a promising avenue, but they typically require costly iterative optimization for each new dataset, making them impractical for real-time applications. We present InfoAtlas, a foundation model-like architecture that eliminates this bottleneck by directly inferring MI in a single forward pass. Pretrained on large-scale synthetic data with rich dependence patterns, InfoAtlas learns to identify diverse dependence stru","authors_text":"Adrian Weller, Hanxiang Ren, Kaibin Huang, Qunsong Zeng, Yanchao Yang, Yanzhi Chen, Youyi Zheng, Zhengyang Hu","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-29T18:16:51Z","title":"InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00241","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":"sha256:41b3c0f9c74b8c815ba90e8f5b9ea9705471bb6bd7bea911a0d32b129f1f0b56","target":"record","created_at":"2026-06-02T01:03:22Z","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":"9914d6588ff3328cb023a0177a57a70de1c9e8d00365ca1c2c80c69942cdea3c","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-29T18:16:51Z","title_canon_sha256":"6096aeeca887ce992e3ad383170e79b0c8b9b654cd2e93c77177fa423b42926d"},"schema_version":"1.0","source":{"id":"2606.00241","kind":"arxiv","version":1}},"canonical_sha256":"6c40c253e0e4a41ac1abb0fee70424c76ed2c1288aa12844ad7842f99ef78af7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6c40c253e0e4a41ac1abb0fee70424c76ed2c1288aa12844ad7842f99ef78af7","first_computed_at":"2026-06-02T01:03:22.531647Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T01:03:22.531647Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N4FvOK6WfB9VkZ1W8cGYVXgfBg2q88uAcNJrmE1ql7ifSkKo3o0K9pOEjwe7d+oqSs9q+ApWjCM+LxAo5Ku8CQ==","signature_status":"signed_v1","signed_at":"2026-06-02T01:03:22.531978Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.00241","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:41b3c0f9c74b8c815ba90e8f5b9ea9705471bb6bd7bea911a0d32b129f1f0b56","sha256:ae02d41b18fc8c1409147b6df03ec36312ae37257c585fc462ea0d4a083e42bc"],"state_sha256":"1dea976417d76ad9aa0da6c3a3670666662a5671ea1f458f0a92b3ab60026e37"}