{"as_of":"2026-08-10T05:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a1317bc01accc6d157ec733fcc6bd5908394c3faaebe903d31cb944e230e03a0","coverage":[{"denominator":7,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T20:57:57.483463Z","state":"measured"},{"denominator":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2502.04945/citation-record","integrity":"/paper/2502.04945/integrity","json":"/paper/2502.04945/citation-record.json","paper":"/paper/2502.04945"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:57.579463Z","title":"Small-sample Bias in GMM Estimation of Covariance Struc- tures,","venue":null,"work_id":"20642b37-89c5-445f-96be-f4c80e548efb","year":1996},"citing_paper":{"arxiv_id":"2502.04945","last_updated":"2025-02-07T14:11:20Z","snapshot_observed_at":"2026-08-09T10:23:39.894331Z","submitted_at":"2025-02-07T14:11:20Z","title":"Estimating Parameters of Structural Models Using Neural Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:57.459571Z"},"links":{"citing_paper":"/paper/2502.04945"},"observation_digest":"sha256:f47d72669f6adcd42f5f586e83c69394ca0d973efd8c9dfcdff5041ceee461be","observation_id":"5fac399b-f0b8-4d7f-8369-657518592790","resolution":{"observed_at":"2026-08-08T20:57:57.583146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:57.533249Z","title":"Search Personalization using Machine Learning,","venue":null,"work_id":"0317154c-56d1-474a-9141-211fb5172fa0","year":2020},"citing_paper":{"arxiv_id":"2502.04945","last_updated":"2025-02-07T14:11:20Z","snapshot_observed_at":"2026-08-09T10:23:39.894331Z","submitted_at":"2025-02-07T14:11:20Z","title":"Estimating Parameters of Structural Models Using Neural Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:57.483463Z"},"links":{"citing_paper":"/paper/2502.04945"},"observation_digest":"sha256:19f71df17dd746b22adecddfca91674e17471546bf5219395df055ce5b64775d","observation_id":"ada05037-0ee9-4c6f-81d9-33368974dfa9","resolution":{"observed_at":"2026-08-08T20:57:57.539053Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:57.547175Z","title":"Connectionist Nonparametric Regression: Multilayer Feedforward Networks Can Learn Ar- bitrary Mappings,","venue":null,"work_id":"a7a9e9e8-a8d0-4cd9-9183-62841b2d2145","year":1990},"citing_paper":{"arxiv_id":"2502.04945","last_updated":"2025-02-07T14:11:20Z","snapshot_observed_at":"2026-08-09T10:23:39.894331Z","submitted_at":"2025-02-07T14:11:20Z","title":"Estimating Parameters of Structural Models Using Neural Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:57.479302Z"},"links":{"citing_paper":"/paper/2502.04945"},"observation_digest":"sha256:acecd573df76dccefe8ca58aaf8292bf233cb0aa40654c50b238cecdb6273652","observation_id":"d95ffbec-9011-4c2e-a53b-a7aa82f61cd9","resolution":{"observed_at":"2026-08-08T20:57:57.550437Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:57.568010Z","title":"Choosing the Number of Instruments,","venue":null,"work_id":"a76cb9f3-fd42-4d48-ac3b-c1985671336c","year":2021},"citing_paper":{"arxiv_id":"2502.04945","last_updated":"2025-02-07T14:11:20Z","snapshot_observed_at":"2026-08-09T10:23:39.894331Z","submitted_at":"2025-02-07T14:11:20Z","title":"Estimating Parameters of Structural Models Using Neural Networks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:57.463741Z"},"links":{"citing_paper":"/paper/2502.04945"},"observation_digest":"sha256:3bc8ca3257887015153731fc2d05521263fa97a5906710ba064ccee674df8222","observation_id":"44930ca8-5cc0-4496-b975-591835d1de7c","resolution":{"observed_at":"2026-08-08T20:57:57.572005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:57.557397Z","title":"Large-scale Cross-category Analysis of Consumer Review Content on Sales Conversion Leveraging Deep Learning,","venue":null,"work_id":"5b3998d4-6770-428b-b61a-1842bfe5b6b2","year":2019},"citing_paper":{"arxiv_id":"2502.04945","last_updated":"2025-02-07T14:11:20Z","snapshot_observed_at":"2026-08-09T10:23:39.894331Z","submitted_at":"2025-02-07T14:11:20Z","title":"Estimating Parameters of Structural Models Using Neural Networks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:57.475129Z"},"links":{"citing_paper":"/paper/2502.04945"},"observation_digest":"sha256:ccbf82c5ac1a4ddc4b4d23802e1c5f5b9c96042754231448e19dc0a1e60e09a8","observation_id":"14bb7c72-e31b-4d7d-8765-537c50411634","resolution":{"observed_at":"2026-08-08T20:57:57.560694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.14694","last_updated":"2026-06-22T14:23:18Z","snapshot_observed_at":"2026-08-09T10:23:03.491855Z","submitted_at":"2020-10-28T01:41:47Z","title":"Deep Learning for Individual Heterogeneity","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.14694","snapshot_observed_at":"2026-08-08T20:57:57.466950Z","title":"Deep Learning for Individual Heterogeneity: an Automatic Inference Framework,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.04945","last_updated":"2025-02-07T14:11:20Z","snapshot_observed_at":"2026-08-09T10:23:39.894331Z","submitted_at":"2025-02-07T14:11:20Z","title":"Estimating Parameters of Structural Models Using Neural Networks","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:57.466950Z"},"links":{"cited_paper":"/paper/2010.14694","citing_paper":"/paper/2502.04945"},"observation_digest":"sha256:650cdb74baed2ebf55c56fcb8793c454196e2bc8f147d8728c1a565da9174436","observation_id":"b6c2b737-b219-43de-b436-4abb90c48371","resolution":{"observed_at":"2026-08-08T20:57:57.466950Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.07164","last_updated":"2018-04-24T13:27:54Z","snapshot_observed_at":"2026-08-02T05:16:17.886689Z","submitted_at":"2018-03-19T21:02:51Z","title":"Adversarial Generalized Method of Moments","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.07164","snapshot_observed_at":"2026-08-08T20:57:57.471078Z","title":"Network Dependence Can Lead to Spurious Associations and Invalid Inference,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.04945","last_updated":"2025-02-07T14:11:20Z","snapshot_observed_at":"2026-08-09T10:23:39.894331Z","submitted_at":"2025-02-07T14:11:20Z","title":"Estimating Parameters of Structural Models Using Neural Networks","version":1},"reference_index":107,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:57.471078Z"},"links":{"cited_paper":"/paper/1803.07164","citing_paper":"/paper/2502.04945"},"observation_digest":"sha256:e2b0027f51ee3cbb936400687cd32bf1117c483392e98568efa7e84fb22c8f77","observation_id":"04417c85-9724-4909-869f-3ea98919b6d8","resolution":{"observed_at":"2026-08-08T20:57:57.471078Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2502.04945","last_updated":"2025-02-07T14:11:20Z","latest_version":1,"primary_category":"econ.EM","snapshot_observed_at":"2026-08-09T10:23:39.894331Z","submitted_at":"2025-02-07T14:11:20Z","title":"Estimating Parameters of Structural Models Using Neural Networks"},"reference_resolution":{"displayed":7,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":5},"total_outbound_references":7},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2502.04945."}