{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KAQQDDNSXYP3IKYAKE2NF4C52S","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":"de769c2a05562d6bd4e1151ea0d762770fd7ed605ceab443e88959452b72ea9e","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2025-06-01T20:05:20Z","title_canon_sha256":"f7c4c9ba8f096ddebc99104bc8ed6ca7485c1ffb0577d3bebb6896fee12c37ed"},"schema_version":"1.0","source":{"id":"2506.01150","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.01150","created_at":"2026-07-05T11:13:47Z"},{"alias_kind":"arxiv_version","alias_value":"2506.01150v1","created_at":"2026-07-05T11:13:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.01150","created_at":"2026-07-05T11:13:47Z"},{"alias_kind":"pith_short_12","alias_value":"KAQQDDNSXYP3","created_at":"2026-07-05T11:13:47Z"},{"alias_kind":"pith_short_16","alias_value":"KAQQDDNSXYP3IKYA","created_at":"2026-07-05T11:13:47Z"},{"alias_kind":"pith_short_8","alias_value":"KAQQDDNS","created_at":"2026-07-05T11:13:47Z"}],"graph_snapshots":[{"event_id":"sha256:aa86ad96c9335256d6cf07d78fc638c801f8ff4bf20ee199eead1fd137e8b494","target":"graph","created_at":"2026-07-05T11:13:47Z","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/2506.01150/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Data-carving methods perform selective inference by conditioning the distribution of data on the observed selection event. However, existing data-carving approaches typically require an analytically tractable characterization of the selection event. This paper introduces a new method that leverages tools from flow-based generative modeling to approximate a potentially complex conditional distribution, even when the underlying selection event lacks an analytical description -- take, for example, the data-adaptive tuning of model parameters. The key idea is to learn a transport map that pushes f","authors_text":"Sifan Liu, Snigdha Panigrahi","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2025-06-01T20:05:20Z","title":"Flexible Selective Inference with Flow-based Transport Maps"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.01150","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":"sha256:8f5308b7e7a8fcf929558a508bdce4b2211cd77bdb1442f75b383c22361b9bc2","target":"record","created_at":"2026-07-05T11:13:47Z","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":"de769c2a05562d6bd4e1151ea0d762770fd7ed605ceab443e88959452b72ea9e","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2025-06-01T20:05:20Z","title_canon_sha256":"f7c4c9ba8f096ddebc99104bc8ed6ca7485c1ffb0577d3bebb6896fee12c37ed"},"schema_version":"1.0","source":{"id":"2506.01150","kind":"arxiv","version":1}},"canonical_sha256":"5021018db2be1fb42b005134d2f05dd49a6d15e8903298ee690ccdc946b4aad5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5021018db2be1fb42b005134d2f05dd49a6d15e8903298ee690ccdc946b4aad5","first_computed_at":"2026-07-05T11:13:47.378609Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:13:47.378609Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GYFO2V5DRvKtSZjuTJe3yaAnEHrKY41C3B18ZEr62RUSbmyAIs/LyvREwC8q6moDmgss4WmEfVpGUNF8j1HiBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:13:47.379156Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.01150","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8f5308b7e7a8fcf929558a508bdce4b2211cd77bdb1442f75b383c22361b9bc2","sha256:aa86ad96c9335256d6cf07d78fc638c801f8ff4bf20ee199eead1fd137e8b494"],"state_sha256":"f7803cf4d52c8a28d00ad3083acc01bb221ebaf4149601c372040cee8b3e660b"}