{"as_of":"2026-08-08T15:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7a254339bae215ccca0d36657942dfe854f78073ce9c18bf9cae29e4a4c580a3","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:08:28.215167Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T16:13:19.538370Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1907.05545","last_updated":"2019-10-10T22:44:28Z","snapshot_observed_at":"2026-07-06T08:07:15.233485Z","submitted_at":"2019-07-12T01:55:36Z","title":"The Dynamic Embedded Topic Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.05545","snapshot_observed_at":"2026-08-06T19:08:28.215167Z","title":"The dynamic embedded topic model,","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2507.06435","last_updated":"2025-07-08T22:30:01Z","snapshot_observed_at":"2026-08-06T19:02:03.739398Z","submitted_at":"2025-07-08T22:30:01Z","title":"Temporal Analysis of Climate Policy Discourse: Insights from Dynamic Embedded Topic Modeling","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T19:08:28.215167Z"},"links":{"cited_paper":"/paper/1907.05545","citing_paper":"/paper/2507.06435"},"observation_digest":"sha256:17878dca018ea6f93879628d40e8f566246b9768302f1ad7f6086ea826044dab","observation_id":"cc81d94b-ce37-4466-a0e1-1533f55d3736","resolution":{"observed_at":"2026-08-06T19:08:28.215167Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.05545","last_updated":"2019-10-10T22:44:28Z","snapshot_observed_at":"2026-07-06T08:07:15.233485Z","submitted_at":"2019-07-12T01:55:36Z","title":"The Dynamic Embedded Topic Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.05545","snapshot_observed_at":"2026-08-06T19:01:21.665451Z","title":"Dieng, Francisco J","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.06715","last_updated":"2025-07-09T10:13:38Z","snapshot_observed_at":"2026-08-06T18:54:07.850409Z","submitted_at":"2025-07-09T10:13:38Z","title":"CLI-RAG: A Retrieval-Augmented Framework for Clinically Structured and Context Aware Text Generation with LLMs","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T19:01:21.665451Z"},"links":{"cited_paper":"/paper/1907.05545","citing_paper":"/paper/2507.06715"},"observation_digest":"sha256:59a839763b659513d906541d0e39e6674bdf6dda2b7c1d9baa57c02ba9865f1f","observation_id":"99025c7a-48a5-46f1-9524-97bd0dde82cb","resolution":{"observed_at":"2026-08-06T19:01:21.665451Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.05545","last_updated":"2019-10-10T22:44:28Z","snapshot_observed_at":"2026-07-06T08:07:15.233485Z","submitted_at":"2019-07-12T01:55:36Z","title":"The Dynamic Embedded Topic Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.05545","snapshot_observed_at":"2026-08-06T18:32:06.093862Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.07910","last_updated":"2025-07-12T05:41:16Z","snapshot_observed_at":"2026-08-06T18:27:10.046876Z","submitted_at":"2025-07-10T16:44:33Z","title":"DTECT: Dynamic Topic Explorer & Context Tracker","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T18:32:06.093862Z"},"links":{"cited_paper":"/paper/1907.05545","citing_paper":"/paper/2507.07910"},"observation_digest":"sha256:2ef0834d2af29e6fd056cbc9ab57913fb1235a0da967517a2f4e20d901a11088","observation_id":"cfaf6d06-52f3-4224-a90c-9b6bac53414a","resolution":{"observed_at":"2026-08-06T18:32:06.093862Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.05545","last_updated":"2019-10-10T22:44:28Z","snapshot_observed_at":"2026-07-06T08:07:15.233485Z","submitted_at":"2019-07-12T01:55:36Z","title":"The Dynamic Embedded Topic Model","version":2},"cited_work":{"arxiv_id":"1907.05545","doi":null,"metadata_source":"pith","pith_arxiv_id":"1907.05545","snapshot_observed_at":"2026-08-06T16:13:19.538370Z","title":"The Dynamic Embedded Topic Model","venue":"cs.CL","work_id":"7c51d6bc-2909-46db-9c47-131f57ea0349","year":2019},"citing_paper":{"arxiv_id":"2507.14079","last_updated":"2025-07-18T17:00:27Z","snapshot_observed_at":"2026-08-06T20:06:43.553572Z","submitted_at":"2025-07-18T17:00:27Z","title":"DENSE: Longitudinal Progress Note Generation with Temporal Modeling of Heterogeneous Clinical Notes Across Hospital Visits","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T16:13:18.660354Z"},"links":{"cited_paper":"/paper/1907.05545","citing_paper":"/paper/2507.14079"},"observation_digest":"sha256:304990fd0e1ef8843922ca89d4999e9284e449a0edf499e79730fe21cec3b882","observation_id":"01e29cfd-c2ff-4072-afd4-82685f466bc4","resolution":{"observed_at":"2026-08-06T16:13:19.579687Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1907.05545/citation-record","integrity":"/paper/1907.05545/integrity","json":"/paper/1907.05545/citation-record.json","paper":"/paper/1907.05545"},"outbound":[],"paper":{"arxiv_id":"1907.05545","last_updated":"2019-10-10T22:44:28Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T08:07:15.233485Z","submitted_at":"2019-07-12T01:55:36Z","title":"The Dynamic Embedded Topic Model"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1907.05545."}