{"as_of":"2026-08-08T04:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:958e42203a307601321eed3350b7332138385a99566554f1fe7b326f2f20047a","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:49:55.782818Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":9,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2106.07635","last_updated":"2021-06-14T17:52:49Z","snapshot_observed_at":"2026-07-06T11:19:10.742670Z","submitted_at":"2021-06-14T17:52:49Z","title":"Variational Causal Networks: Approximate Bayesian Inference over Causal Structures","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.07635","snapshot_observed_at":"2026-08-06T18:49:55.782818Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.07359","last_updated":"2025-07-10T00:53:57Z","snapshot_observed_at":"2026-08-06T18:40:39.974832Z","submitted_at":"2025-07-10T00:53:57Z","title":"Goal-Oriented Sequential Bayesian Experimental Design for Causal Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T18:49:55.782818Z"},"links":{"cited_paper":"/paper/2106.07635","citing_paper":"/paper/2507.07359"},"observation_digest":"sha256:782c14cb5a97945703b35d2b69424d5ba3ab9159a6768aff15134df3508917e4","observation_id":"2c43c936-3cff-4643-beb6-c153ccc5ffea","resolution":{"observed_at":"2026-08-06T18:49:55.782818Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.07635","last_updated":"2021-06-14T17:52:49Z","snapshot_observed_at":"2026-07-06T11:19:10.742670Z","submitted_at":"2021-06-14T17:52:49Z","title":"Variational Causal Networks: Approximate Bayesian Inference over Causal Structures","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.07635","snapshot_observed_at":"2026-08-06T15:19:56.067931Z","title":"Annadani, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.16529","last_updated":"2025-07-22T12:37:48Z","snapshot_observed_at":"2026-08-07T19:47:51.685227Z","submitted_at":"2025-07-22T12:37:48Z","title":"Bayesian causal discovery: Posterior concentration and optimal detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T15:19:56.067931Z"},"links":{"cited_paper":"/paper/2106.07635","citing_paper":"/paper/2507.16529"},"observation_digest":"sha256:b5eb0985edeec61a53de536778beeba3be8a9559f9b2858c0838b3319ffdc061","observation_id":"8c6a93b1-4f16-4faa-912c-b3e8b9545834","resolution":{"observed_at":"2026-08-06T15:19:56.067931Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.07635","last_updated":"2021-06-14T17:52:49Z","snapshot_observed_at":"2026-07-06T11:19:10.742670Z","submitted_at":"2021-06-14T17:52:49Z","title":"Variational Causal Networks: Approximate Bayesian Inference over Causal Structures","version":1},"cited_work":{"arxiv_id":"2106.07635","doi":"10.48550/arxiv.2106.07635","metadata_source":"arxiv_reference","pith_arxiv_id":"2106.07635","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Variational causal networks: Approximate B ayesian inference over causal structures","venue":"arXiv (Cornell University)","work_id":"16ba8af2-116d-47dd-9f50-e18563200825","year":2021},"citing_paper":{"arxiv_id":"2605.27477","last_updated":"2026-05-26T12:01:32Z","snapshot_observed_at":"2026-07-06T23:37:12.630650Z","submitted_at":"2026-05-26T12:01:32Z","title":"Iterative Causal Discovery: Per-Edge Impossibility Certificates, Tier-Aware Oracle Queries, and the $1+K$ Lower Bound","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-06-29T15:59:24.710482Z"},"links":{"cited_paper":"/paper/2106.07635","citing_paper":"/paper/2605.27477"},"observation_digest":"sha256:784c3cbad882d4c19749519b2b8b2d9eeba0f4d707d02bd9d10732562bd1de48","observation_id":"d6c23635-3121-4107-84b2-9727220d1819","resolution":{"observed_at":"2026-06-29T16:03:34.006409Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.07635","last_updated":"2021-06-14T17:52:49Z","snapshot_observed_at":"2026-07-06T11:19:10.742670Z","submitted_at":"2021-06-14T17:52:49Z","title":"Variational Causal Networks: Approximate Bayesian Inference over Causal Structures","version":1},"cited_work":{"arxiv_id":"2106.07635","doi":"10.48550/arxiv.2106.07635","metadata_source":"arxiv_reference","pith_arxiv_id":"2106.07635","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Variational causal networks: Approximate B ayesian inference over causal structures","venue":"arXiv (Cornell University)","work_id":"16ba8af2-116d-47dd-9f50-e18563200825","year":2021},"citing_paper":{"arxiv_id":"2606.06440","last_updated":"2026-06-04T17:41:32Z","snapshot_observed_at":"2026-07-06T23:46:15.936608Z","submitted_at":"2026-06-04T17:41:32Z","title":"Causal Atlases from Entropic Inference: Bayesian Networks beyond Optimal DAGs","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-06-28T02:27:04.348139Z"},"links":{"cited_paper":"/paper/2106.07635","citing_paper":"/paper/2606.06440"},"observation_digest":"sha256:4047db658332b179f9fbe588fec11d915e370cd170b1ae08114a6058b567ce40","observation_id":"7802cb15-9155-474e-8dd1-797d4598e365","resolution":{"observed_at":"2026-06-28T02:31:30.161939Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.07635","last_updated":"2021-06-14T17:52:49Z","snapshot_observed_at":"2026-07-06T11:19:10.742670Z","submitted_at":"2021-06-14T17:52:49Z","title":"Variational Causal Networks: Approximate Bayesian Inference over Causal Structures","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.07635","snapshot_observed_at":"2026-08-06T13:39:07.357579Z","title":"Variational causal networks: Approximate bayesian inference over causal structures.arXiv preprint arXiv:2106.07635,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04930","last_updated":"2026-08-05T14:56:14Z","snapshot_observed_at":"2026-08-08T03:12:41.753550Z","submitted_at":"2026-08-05T14:56:14Z","title":"SVI-DAG: A Structured Variational Inference Approach to Bayesian Causal Discovery","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T13:39:07.357579Z"},"links":{"cited_paper":"/paper/2106.07635","citing_paper":"/paper/2608.04930"},"observation_digest":"sha256:d1aaf72316421969acee8ea2538e3a17169a1c6b1b2847df7edc2d4ca08dc726","observation_id":"f6486eb8-3549-4bb4-a24c-981d29ba552f","resolution":{"observed_at":"2026-08-06T13:39:07.357579Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2106.07635/citation-record","integrity":"/paper/2106.07635/integrity","json":"/paper/2106.07635/citation-record.json","paper":"/paper/2106.07635"},"outbound":[],"paper":{"arxiv_id":"2106.07635","last_updated":"2021-06-14T17:52:49Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T11:19:10.742670Z","submitted_at":"2021-06-14T17:52:49Z","title":"Variational Causal Networks: Approximate Bayesian Inference over Causal Structures"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2106.07635."}