{"as_of":"2026-08-09T20:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a9a496b81807baec9bd2e03a5f26781f1048d6ae0c7fe0654022dc7ed5d0bbf9","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":"2026-08-09T06:31:02.800959+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":"2026-08-05T19:58:07.584581Z","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":"2026-07-03T10:48:01.999693Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.07030","last_updated":"2024-03-18T02:45:04Z","snapshot_observed_at":"2026-07-06T17:42:49.471518Z","submitted_at":"2024-03-11T03:34:14Z","title":"AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07030","snapshot_observed_at":"2026-08-05T19:58:07.584581Z","title":"AuG - KD : Anchor - Based Mixup Generation for Out -of- Domain Knowledge Distillation , March 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.16628","last_updated":"2025-08-15T11:25:05Z","snapshot_observed_at":"2026-08-07T10:19:05.015231Z","submitted_at":"2025-08-15T11:25:05Z","title":"The Impact of Artificial Intelligence on Human Thought","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-05T19:58:07.584581Z"},"links":{"cited_paper":"/paper/2403.07030","citing_paper":"/paper/2508.16628"},"observation_digest":"sha256:c7cb2044f940150db78e1df2b7830ee56c1c94281635da7e53e97e8fbd9dbbec","observation_id":"0dc0acbf-f09a-4cb0-be8e-3813844a492d","resolution":{"observed_at":"2026-08-05T19:58:07.584581Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07030","last_updated":"2024-03-18T02:45:04Z","snapshot_observed_at":"2026-07-06T17:42:49.471518Z","submitted_at":"2024-03-11T03:34:14Z","title":"AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation","version":2},"cited_work":{"arxiv_id":"2403.07030","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.07030","snapshot_observed_at":"2026-07-03T10:48:01.999693Z","title":"Aug-kd: Anchor-based mixup generation for out-of-domain knowledge distillation.arXiv preprint arXiv:2403.07030","venue":null,"work_id":"a2b23818-4513-4166-8605-4cf39e6c3d45","year":2024},"citing_paper":{"arxiv_id":"2603.09465","last_updated":"2026-05-11T07:51:23Z","snapshot_observed_at":"2026-08-06T10:13:11.855502Z","submitted_at":"2026-03-10T10:19:07Z","title":"EvoDriveVLA: Evolving Driving VLA Models via Collaborative Perception-Planning Distillation","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-15T14:14:45.982490Z"},"links":{"cited_paper":"/paper/2403.07030","citing_paper":"/paper/2603.09465"},"observation_digest":"sha256:4c4f2536856c7c03f629ef100fd048fdb5fdfcd623aae45488485400b3119b25","observation_id":"26efea2f-6550-4cd2-ab37-3587e4bce592","resolution":{"observed_at":"2026-05-15T14:15:54.592420Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07030","last_updated":"2024-03-18T02:45:04Z","snapshot_observed_at":"2026-07-06T17:42:49.471518Z","submitted_at":"2024-03-11T03:34:14Z","title":"AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation","version":2},"cited_work":{"arxiv_id":"2403.07030","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.07030","snapshot_observed_at":"2026-07-03T10:48:01.999693Z","title":"Aug-kd: Anchor-based mixup generation for out-of-domain knowledge distillation.arXiv preprint arXiv:2403.07030","venue":null,"work_id":"a2b23818-4513-4166-8605-4cf39e6c3d45","year":2024},"citing_paper":{"arxiv_id":"2606.12171","last_updated":"2026-06-10T14:59:26Z","snapshot_observed_at":"2026-08-07T06:15:09.497629Z","submitted_at":"2026-06-10T14:59:26Z","title":"Beyond Dark Knowledge: Mixup-Based Distillation for Reliable Predictions","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-27T09:52:30.187137Z"},"links":{"cited_paper":"/paper/2403.07030","citing_paper":"/paper/2606.12171"},"observation_digest":"sha256:7300a0ad795fa6213126c53316ac458d6adbc37865f45e8f1502a36edb77fab3","observation_id":"aa4039b5-e3c7-415d-abbe-9e9d09636faa","resolution":{"observed_at":"2026-07-03T10:48:02.001154Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.07030/citation-record","integrity":"/paper/2403.07030/integrity","json":"/paper/2403.07030/citation-record.json","paper":"/paper/2403.07030"},"outbound":[],"paper":{"arxiv_id":"2403.07030","last_updated":"2024-03-18T02:45:04Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T17:42:49.471518Z","submitted_at":"2024-03-11T03:34:14Z","title":"AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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:2403.07030."}