{"as_of":"2026-08-12T17:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ee4a273f9d22bf3e3780380003680f2ed223634b7f05e45a6af2a26b1c536e3c","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T11:47:20.973795Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-16T18:58:18.905752Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.03154","last_updated":"2024-06-06T12:58:17Z","snapshot_observed_at":"2026-08-11T20:52:17.637337Z","submitted_at":"2024-06-05T11:30:16Z","title":"Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03154","snapshot_observed_at":"2026-08-11T11:47:20.973795Z","title":"Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.15100","last_updated":"2025-03-14T14:47:52Z","snapshot_observed_at":"2026-08-11T16:33:55.238979Z","submitted_at":"2024-12-19T17:48:03Z","title":"Tests for model misspecification in simulation-based inference: from local distortions to global model checks","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T11:47:20.973795Z"},"links":{"cited_paper":"/paper/2406.03154","citing_paper":"/paper/2412.15100"},"observation_digest":"sha256:095f953e4c71db0b1a7da68a5a63ad4cc190695c37d4316dc06a7703bc3b0515","observation_id":"e15e2a66-f632-43cc-8001-e9d8bdfb84b2","resolution":{"observed_at":"2026-08-11T11:47:20.973795Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03154","last_updated":"2024-06-06T12:58:17Z","snapshot_observed_at":"2026-08-11T20:52:17.637337Z","submitted_at":"2024-06-05T11:30:16Z","title":"Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation","version":2},"cited_work":{"arxiv_id":"2406.03154","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.03154","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"https://arxiv.org/abs/2406.03154","venue":null,"work_id":"d2bae947-1e2c-42a9-836e-f91a72c5c500","year":2024},"citing_paper":{"arxiv_id":"2512.23748","last_updated":"2026-04-14T19:54:35Z","snapshot_observed_at":"2026-08-03T02:33:30.910059Z","submitted_at":"2025-12-26T18:18:25Z","title":"A Review of Diffusion-based Simulation-Based Inference: Foundations and Applications in Non-Ideal Data Scenarios","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-16T18:57:06.742017Z"},"links":{"cited_paper":"/paper/2406.03154","citing_paper":"/paper/2512.23748"},"observation_digest":"sha256:98439935ba0eb788e569b6d1d9d13fef9924c802f0a0d168897eae12602f5044","observation_id":"095c3afb-fdf2-4ff7-bfdd-18921cabf4d0","resolution":{"observed_at":"2026-05-16T18:58:18.907424Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.03154/citation-record","integrity":"/paper/2406.03154/integrity","json":"/paper/2406.03154/citation-record.json","paper":"/paper/2406.03154"},"outbound":[],"paper":{"arxiv_id":"2406.03154","last_updated":"2024-06-06T12:58:17Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-11T20:52:17.637337Z","submitted_at":"2024-06-05T11:30:16Z","title":"Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.03154."}