{"as_of":"2026-08-13T21:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a7fb8406361e70ba3dac551483754d3da5d811bd0bc9874ce7683714eb614e12","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-24T02:22:38.540827Z","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":"2026-05-24T02:23:45.788957Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2106.14145","last_updated":"2022-07-15T14:53:02Z","snapshot_observed_at":"2026-08-13T18:56:48.297098Z","submitted_at":"2021-06-27T05:09:57Z","title":"An Approach to Causal Inference over Stochastic Networks","version":2},"cited_work":{"arxiv_id":"2106.14145","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.14145","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"An approach to causal inference over stochastic networks","venue":null,"work_id":"d50ec38d-7797-4c8f-9782-0714df39c98b","year":2021},"citing_paper":{"arxiv_id":"2404.04775","last_updated":"2026-05-15T04:22:08Z","snapshot_observed_at":"2026-07-06T17:56:36.189336Z","submitted_at":"2024-04-07T01:34:27Z","title":"Bipartite causal inference with interference, time series data, and a random network","version":3},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-05-24T02:22:38.540827Z"},"links":{"cited_paper":"/paper/2106.14145","citing_paper":"/paper/2404.04775"},"observation_digest":"sha256:e6196c5da76be10563c2e395ebce1133f72b16364eb573f54e219fb055240957","observation_id":"9c4991f1-14b8-42e8-ab4c-651ac22c9a1b","resolution":{"observed_at":"2026-05-24T02:23:45.793790Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2106.14145/citation-record","integrity":"/paper/2106.14145/integrity","json":"/paper/2106.14145/citation-record.json","paper":"/paper/2106.14145"},"outbound":[],"paper":{"arxiv_id":"2106.14145","last_updated":"2022-07-15T14:53:02Z","latest_version":2,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-13T18:56:48.297098Z","submitted_at":"2021-06-27T05:09:57Z","title":"An Approach to Causal Inference over Stochastic Networks"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2106.14145."}