{"as_of":"2026-08-10T17:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8793270d48189a8f1d7f03239226dbf9b74cea3fb86609313bfcb5c31122b76c","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T20:08:13.464958Z","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":"2026-05-23T02:47:26.312469Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2109.00725","last_updated":"2022-07-30T05:18:10Z","snapshot_observed_at":"2026-08-07T18:10:38.409986Z","submitted_at":"2021-09-02T05:40:08Z","title":"Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.00725","snapshot_observed_at":"2026-08-08T20:08:13.464958Z","title":"Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.05150","last_updated":"2025-02-07T18:26:15Z","snapshot_observed_at":"2026-08-09T15:49:28.774276Z","submitted_at":"2025-02-07T18:26:15Z","title":"CodeSCM: Causal Analysis for Multi-Modal Code Generation","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-08T20:08:13.464958Z"},"links":{"cited_paper":"/paper/2109.00725","citing_paper":"/paper/2502.05150"},"observation_digest":"sha256:7f84ebcd90586d1c0cc90c0c500ccd9f8d16a27cfcab0a1bee9796d1296b7bd3","observation_id":"033bc9bc-7e84-43be-9429-f4a86e300099","resolution":{"observed_at":"2026-08-08T20:08:13.464958Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.00725","last_updated":"2022-07-30T05:18:10Z","snapshot_observed_at":"2026-08-07T18:10:38.409986Z","submitted_at":"2021-09-02T05:40:08Z","title":"Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond","version":2},"cited_work":{"arxiv_id":"2109.00725","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2109.00725","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"How effective is targeted advertising? In: Proceedings of the 21st international conference on World Wide Web, 111–120","venue":null,"work_id":"f045d7ef-fa2b-4ce9-9e98-8558f058fb78","year":2012},"citing_paper":{"arxiv_id":"2502.16156","last_updated":"2025-02-22T09:17:02Z","snapshot_observed_at":"2026-07-06T20:40:57.414593Z","submitted_at":"2025-02-22T09:17:02Z","title":"A Review of Causal Decision Making","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-23T02:47:21.582667Z"},"links":{"cited_paper":"/paper/2109.00725","citing_paper":"/paper/2502.16156"},"observation_digest":"sha256:dabd809909382c39bd84b52abc6396786018c4b7b93cb795b2d9e0379b3b1ea4","observation_id":"e40c384b-6769-4348-96e2-d633a40b7858","resolution":{"observed_at":"2026-05-23T02:47:26.314908Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.00725","last_updated":"2022-07-30T05:18:10Z","snapshot_observed_at":"2026-08-07T18:10:38.409986Z","submitted_at":"2021-09-02T05:40:08Z","title":"Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.00725","snapshot_observed_at":"2026-08-07T04:07:19.996254Z","title":"Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.11600","last_updated":"2025-06-13T09:09:08Z","snapshot_observed_at":"2026-08-08T11:22:34.761135Z","submitted_at":"2025-06-13T09:09:08Z","title":"GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T04:07:19.996254Z"},"links":{"cited_paper":"/paper/2109.00725","citing_paper":"/paper/2506.11600"},"observation_digest":"sha256:f1919930b95e3f1e4784e602e8d7062167d496831cfd79b4ba8a5426e274931e","observation_id":"72796c67-8960-4cae-b5e9-6ae88d33bf21","resolution":{"observed_at":"2026-08-07T04:07:19.996254Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2109.00725/citation-record","integrity":"/paper/2109.00725/integrity","json":"/paper/2109.00725/citation-record.json","paper":"/paper/2109.00725"},"outbound":[],"paper":{"arxiv_id":"2109.00725","last_updated":"2022-07-30T05:18:10Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T18:10:38.409986Z","submitted_at":"2021-09-02T05:40:08Z","title":"Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2109.00725."}