{"as_of":"2026-08-09T03:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e78350ae4980fecac9d9f66b4bc0967f0a1998ebdc7c6ecb77bfb5292bb44519","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T11:30:15.303987Z","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":"2026-05-19T00:16:55.456182Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1810.00821","last_updated":"2020-08-25T02:41:11Z","snapshot_observed_at":"2026-08-04T12:42:55.627023Z","submitted_at":"2018-10-01T17:02:24Z","title":"Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.00821","snapshot_observed_at":"2026-08-07T11:30:15.303987Z","title":"Variational discriminator bottleneck: Im- proving imitation learning, inverse rl, and gans by constrain- ing information flow.arXiv preprint arXiv:1810.00821,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.02396","last_updated":"2025-06-03T03:23:43Z","snapshot_observed_at":"2026-08-08T06:48:24.062827Z","submitted_at":"2025-06-03T03:23:43Z","title":"Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T11:30:15.303987Z"},"links":{"cited_paper":"/paper/1810.00821","citing_paper":"/paper/2506.02396"},"observation_digest":"sha256:5be518155bd7fae39d9851aec40d8d1da1bb2d372e2a9f889a0c3193d9d09e60","observation_id":"cc35d367-b420-49e9-a595-ab05a231c8c7","resolution":{"observed_at":"2026-08-07T11:30:15.303987Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.00821","last_updated":"2020-08-25T02:41:11Z","snapshot_observed_at":"2026-08-04T12:42:55.627023Z","submitted_at":"2018-10-01T17:02:24Z","title":"Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow","version":4},"cited_work":{"arxiv_id":"1810.00821","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1810.00821","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:1810.00821 , year=","venue":null,"work_id":"0fdd52bc-fdc4-475c-baf6-98802fac18c7","year":2018},"citing_paper":{"arxiv_id":"2508.07652","last_updated":"2025-08-11T06:04:38Z","snapshot_observed_at":"2026-07-06T22:10:54.210191Z","submitted_at":"2025-08-11T06:04:38Z","title":"Estimating classical mutual information between quantum subsystems with neural networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-19T00:13:12.019435Z"},"links":{"cited_paper":"/paper/1810.00821","citing_paper":"/paper/2508.07652"},"observation_digest":"sha256:85e4371c4f126256e2c0492d41c4f50158c4004e72546ef71bf43762fb6afe76","observation_id":"6264f6e6-7be2-49ae-b461-0e3e03be29cb","resolution":{"observed_at":"2026-05-19T00:16:55.458778Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"1810.00821","last_updated":"2020-08-25T02:41:11Z","snapshot_observed_at":"2026-08-04T12:42:55.627023Z","submitted_at":"2018-10-01T17:02:24Z","title":"Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow","version":4},"cited_work":{"arxiv_id":"1810.00821","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1810.00821","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:1810.00821 , year=","venue":null,"work_id":"0fdd52bc-fdc4-475c-baf6-98802fac18c7","year":2018},"citing_paper":{"arxiv_id":"2604.18460","last_updated":"2026-04-20T16:16:36Z","snapshot_observed_at":"2026-07-06T23:05:17.639285Z","submitted_at":"2026-04-20T16:16:36Z","title":"Learning Invariant Modality Representation for Robust Multimodal Learning from a Causal Inference Perspective","version":1},"reference_index":119,"source":"arxiv_source","source_observed_at":"2026-05-10T04:32:29.428080Z"},"links":{"cited_paper":"/paper/1810.00821","citing_paper":"/paper/2604.18460"},"observation_digest":"sha256:86a618ec5dcedb06a624a3d5937a84026eec2ab52b9973fce885faa4cce8da9f","observation_id":"a72ff8dc-b667-465c-897e-d3faa0980c77","resolution":{"observed_at":"2026-05-11T11:51:03.312877Z","resolver_source":"arxiv_id","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/1810.00821/citation-record","integrity":"/paper/1810.00821/integrity","json":"/paper/1810.00821/citation-record.json","paper":"/paper/1810.00821"},"outbound":[],"paper":{"arxiv_id":"1810.00821","last_updated":"2020-08-25T02:41:11Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-04T12:42:55.627023Z","submitted_at":"2018-10-01T17:02:24Z","title":"Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow"},"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 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1810.00821."}