{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:KKHMVYFVDTEDDDIKCL7H3KAQGV","short_pith_number":"pith:KKHMVYFV","canonical_record":{"source":{"id":"2204.00473","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.EM","submitted_at":"2022-04-01T14:30:34Z","cross_cats_sorted":[],"title_canon_sha256":"561eaaa6528b916fafc7e20766f7ab27d3b3452f0b539c91186439cd7c3a3309","abstract_canon_sha256":"20615398514be6b51bde9ab18422ccc12067c30939fb68d6a578e55489d2ee81"},"schema_version":"1.0"},"canonical_sha256":"528ecae0b51cc8318d0a12fe7da8103578913b62b0981aaa8993c0c678de161d","source":{"kind":"arxiv","id":"2204.00473","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.00473","created_at":"2026-06-05T01:14:23Z"},{"alias_kind":"arxiv_version","alias_value":"2204.00473v4","created_at":"2026-06-05T01:14:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.00473","created_at":"2026-06-05T01:14:23Z"},{"alias_kind":"pith_short_12","alias_value":"KKHMVYFVDTED","created_at":"2026-06-05T01:14:23Z"},{"alias_kind":"pith_short_16","alias_value":"KKHMVYFVDTEDDDIK","created_at":"2026-06-05T01:14:23Z"},{"alias_kind":"pith_short_8","alias_value":"KKHMVYFV","created_at":"2026-06-05T01:14:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:KKHMVYFVDTEDDDIKCL7H3KAQGV","target":"record","payload":{"canonical_record":{"source":{"id":"2204.00473","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.EM","submitted_at":"2022-04-01T14:30:34Z","cross_cats_sorted":[],"title_canon_sha256":"561eaaa6528b916fafc7e20766f7ab27d3b3452f0b539c91186439cd7c3a3309","abstract_canon_sha256":"20615398514be6b51bde9ab18422ccc12067c30939fb68d6a578e55489d2ee81"},"schema_version":"1.0"},"canonical_sha256":"528ecae0b51cc8318d0a12fe7da8103578913b62b0981aaa8993c0c678de161d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-05T01:14:23.403720Z","signature_b64":"BM2tF7/YdWi65BjBad2jytXLy6NWPiHIYSk+n9Iw+6+fevujHcrlT9baadOFAO32hWdvP4uPtiTwCHPwh7mlDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"528ecae0b51cc8318d0a12fe7da8103578913b62b0981aaa8993c0c678de161d","last_reissued_at":"2026-06-05T01:14:23.402781Z","signature_status":"signed_v1","first_computed_at":"2026-06-05T01:14:23.402781Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.00473","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-05T01:14:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hMDFw4XXU9PNEP80T3pi28f8WqfRhDYUF4lOTKArhaYiY3LXXHrhAnhrpS0TzsBEmcT1uCBzrYT0jQSCDyKIBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T16:18:34.751758Z"},"content_sha256":"4c721941bc71cd416e524c12aa992feab5d29f4cdc570c7b78b3467edb105f3c","schema_version":"1.0","event_id":"sha256:4c721941bc71cd416e524c12aa992feab5d29f4cdc570c7b78b3467edb105f3c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:KKHMVYFVDTEDDDIKCL7H3KAQGV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Finite Sample Inference in Incomplete Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"econ.EM","authors_text":"Lixiong Li, Marc Henry","submitted_at":"2022-04-01T14:30:34Z","abstract_excerpt":"We propose confidence regions for the parameters of incomplete models with exact coverage of the true parameter in finite samples. Our confidence region inverts a test, which generalizes Monte Carlo tests to incomplete models. The test statistic is a discrete analogue of a new optimal-transport formulation of the structural model. Both test statistic and critical values rely on simulation draws from the distribution of latent variables and are computed using solutions to discrete optimal transport, hence linear programming problems. We also propose a fast preliminary search in the parameter sp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.00473","kind":"arxiv","version":4},"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/2204.00473/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":"2026-06-05T01:14:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2x2dBUT/shwkJUdBO1tiFj75S19kf4cj2rxi8RVn0JYBFgRw0y+keMWRibPRKu0d6zKMxggwAD8kj6Zn4IlKCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T16:18:34.752172Z"},"content_sha256":"6ec956d90eaba183d6f6c88d6691b447a81725e82a0ae7021e92c3b8330f0c00","schema_version":"1.0","event_id":"sha256:6ec956d90eaba183d6f6c88d6691b447a81725e82a0ae7021e92c3b8330f0c00"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KKHMVYFVDTEDDDIKCL7H3KAQGV/bundle.json","state_url":"https://pith.science/pith/KKHMVYFVDTEDDDIKCL7H3KAQGV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KKHMVYFVDTEDDDIKCL7H3KAQGV/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":"2026-06-07T16:18:34Z","links":{"resolver":"https://pith.science/pith/KKHMVYFVDTEDDDIKCL7H3KAQGV","bundle":"https://pith.science/pith/KKHMVYFVDTEDDDIKCL7H3KAQGV/bundle.json","state":"https://pith.science/pith/KKHMVYFVDTEDDDIKCL7H3KAQGV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KKHMVYFVDTEDDDIKCL7H3KAQGV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:KKHMVYFVDTEDDDIKCL7H3KAQGV","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":"20615398514be6b51bde9ab18422ccc12067c30939fb68d6a578e55489d2ee81","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.EM","submitted_at":"2022-04-01T14:30:34Z","title_canon_sha256":"561eaaa6528b916fafc7e20766f7ab27d3b3452f0b539c91186439cd7c3a3309"},"schema_version":"1.0","source":{"id":"2204.00473","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.00473","created_at":"2026-06-05T01:14:23Z"},{"alias_kind":"arxiv_version","alias_value":"2204.00473v4","created_at":"2026-06-05T01:14:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.00473","created_at":"2026-06-05T01:14:23Z"},{"alias_kind":"pith_short_12","alias_value":"KKHMVYFVDTED","created_at":"2026-06-05T01:14:23Z"},{"alias_kind":"pith_short_16","alias_value":"KKHMVYFVDTEDDDIK","created_at":"2026-06-05T01:14:23Z"},{"alias_kind":"pith_short_8","alias_value":"KKHMVYFV","created_at":"2026-06-05T01:14:23Z"}],"graph_snapshots":[{"event_id":"sha256:6ec956d90eaba183d6f6c88d6691b447a81725e82a0ae7021e92c3b8330f0c00","target":"graph","created_at":"2026-06-05T01:14:23Z","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/2204.00473/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose confidence regions for the parameters of incomplete models with exact coverage of the true parameter in finite samples. Our confidence region inverts a test, which generalizes Monte Carlo tests to incomplete models. The test statistic is a discrete analogue of a new optimal-transport formulation of the structural model. Both test statistic and critical values rely on simulation draws from the distribution of latent variables and are computed using solutions to discrete optimal transport, hence linear programming problems. We also propose a fast preliminary search in the parameter sp","authors_text":"Lixiong Li, Marc Henry","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.EM","submitted_at":"2022-04-01T14:30:34Z","title":"Finite Sample Inference in Incomplete Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.00473","kind":"arxiv","version":4},"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":"sha256:4c721941bc71cd416e524c12aa992feab5d29f4cdc570c7b78b3467edb105f3c","target":"record","created_at":"2026-06-05T01:14:23Z","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":"20615398514be6b51bde9ab18422ccc12067c30939fb68d6a578e55489d2ee81","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.EM","submitted_at":"2022-04-01T14:30:34Z","title_canon_sha256":"561eaaa6528b916fafc7e20766f7ab27d3b3452f0b539c91186439cd7c3a3309"},"schema_version":"1.0","source":{"id":"2204.00473","kind":"arxiv","version":4}},"canonical_sha256":"528ecae0b51cc8318d0a12fe7da8103578913b62b0981aaa8993c0c678de161d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"528ecae0b51cc8318d0a12fe7da8103578913b62b0981aaa8993c0c678de161d","first_computed_at":"2026-06-05T01:14:23.402781Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-05T01:14:23.402781Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BM2tF7/YdWi65BjBad2jytXLy6NWPiHIYSk+n9Iw+6+fevujHcrlT9baadOFAO32hWdvP4uPtiTwCHPwh7mlDw==","signature_status":"signed_v1","signed_at":"2026-06-05T01:14:23.403720Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.00473","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4c721941bc71cd416e524c12aa992feab5d29f4cdc570c7b78b3467edb105f3c","sha256:6ec956d90eaba183d6f6c88d6691b447a81725e82a0ae7021e92c3b8330f0c00"],"state_sha256":"c34205c94de6b60a3bcc025701a7787db3bd9f4fff74f5e81f3c9a93558234f5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7flvbWsCRPCoPvyYaV12f3BlUtnTgB7znIwjKyK5HyjuDEz29NgPvai0cBYEIiZEs4bsEpIzCmvTwp/XsUKQCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T16:18:34.754527Z","bundle_sha256":"171ac5d088aa96600d302b2ea0c9fa1c4a45a3cc2b7d4bfecc165bf857ae4ea8"}}