{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:TYE4PUCJM5AAE7JEADFLNX4DIE","short_pith_number":"pith:TYE4PUCJ","canonical_record":{"source":{"id":"1811.10676","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.EM","submitted_at":"2018-11-26T20:29:18Z","cross_cats_sorted":[],"title_canon_sha256":"f9da7dd7f7634b63026b182547954443d9fe02e13dcc5989d3732caea137794f","abstract_canon_sha256":"4f453f01ea46fd2afbc2aabfdc490a5274cac7bfa73bdef310c091e784bd39ee"},"schema_version":"1.0"},"canonical_sha256":"9e09c7d0496740027d2400cab6df834119f1602e25cbcac4d72cc848f95b0bda","source":{"kind":"arxiv","id":"1811.10676","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.10676","created_at":"2026-05-17T23:59:47Z"},{"alias_kind":"arxiv_version","alias_value":"1811.10676v1","created_at":"2026-05-17T23:59:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.10676","created_at":"2026-05-17T23:59:47Z"},{"alias_kind":"pith_short_12","alias_value":"TYE4PUCJM5AA","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"TYE4PUCJM5AAE7JE","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"TYE4PUCJ","created_at":"2026-05-18T12:32:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:TYE4PUCJM5AAE7JEADFLNX4DIE","target":"record","payload":{"canonical_record":{"source":{"id":"1811.10676","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.EM","submitted_at":"2018-11-26T20:29:18Z","cross_cats_sorted":[],"title_canon_sha256":"f9da7dd7f7634b63026b182547954443d9fe02e13dcc5989d3732caea137794f","abstract_canon_sha256":"4f453f01ea46fd2afbc2aabfdc490a5274cac7bfa73bdef310c091e784bd39ee"},"schema_version":"1.0"},"canonical_sha256":"9e09c7d0496740027d2400cab6df834119f1602e25cbcac4d72cc848f95b0bda","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:59:47.835286Z","signature_b64":"jqlTtIQx7epUW4HYZVptHOE+zGuzf76WjB/TrIzw8ilhmLyDnpHf/jXpJ47czODpVCaJ9JHSV54gFdP1O0PaCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9e09c7d0496740027d2400cab6df834119f1602e25cbcac4d72cc848f95b0bda","last_reissued_at":"2026-05-17T23:59:47.834889Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:59:47.834889Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.10676","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":"2026-05-17T23:59:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4Wdwyfej8kSSLN5njqKA2dLZ2u506ZUyEtja1C/3XGtgrBwaZGHQn3M7jRUwAbHqajBLLTWB1GQIh8bLNuGiCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T05:27:49.198334Z"},"content_sha256":"0378e2f30a39df9767f1010bf5defcd00cae8da800abed72afa88e47b73f049b","schema_version":"1.0","event_id":"sha256:0378e2f30a39df9767f1010bf5defcd00cae8da800abed72afa88e47b73f049b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:TYE4PUCJM5AAE7JEADFLNX4DIE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LM-BIC Model Selection in Semiparametric Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"econ.EM","authors_text":"Ivan Korolev","submitted_at":"2018-11-26T20:29:18Z","abstract_excerpt":"This paper studies model selection in semiparametric econometric models. It develops a consistent series-based model selection procedure based on a Bayesian Information Criterion (BIC) type criterion to select between several classes of models. The procedure selects a model by minimizing the semiparametric Lagrange Multiplier (LM) type test statistic from Korolev (2018) but additionally rewards simpler models. The paper also develops consistent upward testing (UT) and downward testing (DT) procedures based on the semiparametric LM type specification test. The proposed semiparametric LM-BIC and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.10676","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":""},"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":"2026-05-17T23:59:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/a4Q57Rr9KefrmmPwxp6MUQGRjcqtr6wgSsKS5k4kagQIuYFmQVbT5SRgRBRfxW6UDAg3D6ygD8Og1LR3UTzBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T05:27:49.198779Z"},"content_sha256":"841481de169b9f1ca9af6d23aea1bf807b8a9bae3bd1883434f79d1089efaee7","schema_version":"1.0","event_id":"sha256:841481de169b9f1ca9af6d23aea1bf807b8a9bae3bd1883434f79d1089efaee7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TYE4PUCJM5AAE7JEADFLNX4DIE/bundle.json","state_url":"https://pith.science/pith/TYE4PUCJM5AAE7JEADFLNX4DIE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TYE4PUCJM5AAE7JEADFLNX4DIE/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":"2026-08-15T05:27:49Z","links":{"resolver":"https://pith.science/pith/TYE4PUCJM5AAE7JEADFLNX4DIE","bundle":"https://pith.science/pith/TYE4PUCJM5AAE7JEADFLNX4DIE/bundle.json","state":"https://pith.science/pith/TYE4PUCJM5AAE7JEADFLNX4DIE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TYE4PUCJM5AAE7JEADFLNX4DIE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:TYE4PUCJM5AAE7JEADFLNX4DIE","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":"4f453f01ea46fd2afbc2aabfdc490a5274cac7bfa73bdef310c091e784bd39ee","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.EM","submitted_at":"2018-11-26T20:29:18Z","title_canon_sha256":"f9da7dd7f7634b63026b182547954443d9fe02e13dcc5989d3732caea137794f"},"schema_version":"1.0","source":{"id":"1811.10676","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.10676","created_at":"2026-05-17T23:59:47Z"},{"alias_kind":"arxiv_version","alias_value":"1811.10676v1","created_at":"2026-05-17T23:59:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.10676","created_at":"2026-05-17T23:59:47Z"},{"alias_kind":"pith_short_12","alias_value":"TYE4PUCJM5AA","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"TYE4PUCJM5AAE7JE","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"TYE4PUCJ","created_at":"2026-05-18T12:32:56Z"}],"graph_snapshots":[{"event_id":"sha256:841481de169b9f1ca9af6d23aea1bf807b8a9bae3bd1883434f79d1089efaee7","target":"graph","created_at":"2026-05-17T23:59:47Z","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"},"paper":{"abstract_excerpt":"This paper studies model selection in semiparametric econometric models. It develops a consistent series-based model selection procedure based on a Bayesian Information Criterion (BIC) type criterion to select between several classes of models. The procedure selects a model by minimizing the semiparametric Lagrange Multiplier (LM) type test statistic from Korolev (2018) but additionally rewards simpler models. The paper also develops consistent upward testing (UT) and downward testing (DT) procedures based on the semiparametric LM type specification test. The proposed semiparametric LM-BIC and","authors_text":"Ivan Korolev","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.EM","submitted_at":"2018-11-26T20:29:18Z","title":"LM-BIC Model Selection in Semiparametric Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.10676","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":"sha256:0378e2f30a39df9767f1010bf5defcd00cae8da800abed72afa88e47b73f049b","target":"record","created_at":"2026-05-17T23:59:47Z","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":"4f453f01ea46fd2afbc2aabfdc490a5274cac7bfa73bdef310c091e784bd39ee","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.EM","submitted_at":"2018-11-26T20:29:18Z","title_canon_sha256":"f9da7dd7f7634b63026b182547954443d9fe02e13dcc5989d3732caea137794f"},"schema_version":"1.0","source":{"id":"1811.10676","kind":"arxiv","version":1}},"canonical_sha256":"9e09c7d0496740027d2400cab6df834119f1602e25cbcac4d72cc848f95b0bda","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9e09c7d0496740027d2400cab6df834119f1602e25cbcac4d72cc848f95b0bda","first_computed_at":"2026-05-17T23:59:47.834889Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:59:47.834889Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jqlTtIQx7epUW4HYZVptHOE+zGuzf76WjB/TrIzw8ilhmLyDnpHf/jXpJ47czODpVCaJ9JHSV54gFdP1O0PaCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:59:47.835286Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.10676","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0378e2f30a39df9767f1010bf5defcd00cae8da800abed72afa88e47b73f049b","sha256:841481de169b9f1ca9af6d23aea1bf807b8a9bae3bd1883434f79d1089efaee7"],"state_sha256":"b4a8bf26b0c629e2c2c9d4b453227fe47a4c2a8e3834d386130b2e2e51c0793a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7UUNBUTaWYS0gF7e7IowKKkOfwWZIJCEKWh4eSsHnsig5VwvkIEVGTmZm/c5GyJi/4Ebq/VNwbjwPHJj+HygBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T05:27:49.202662Z","bundle_sha256":"da72cc261611bd765c266d465a5cd7933dca79ead7c999181c58a3fc4745f1db"}}