{"as_of":"2026-08-20T09:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e887c597c8520d9f003a18f1ba5d27308e50e864d2638da2678da2c9dadff920","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":"2026-08-20T06:33:59.587034+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":"2026-07-01T07:08:57.768207Z","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":"2026-07-04T03:29:29.797377Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.18561","last_updated":"2024-05-28T06:54:04Z","snapshot_observed_at":"2026-08-18T19:05:48.420118Z","submitted_at":"2024-05-28T06:54:04Z","title":"SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching","version":1},"cited_work":{"arxiv_id":"2406.18561","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.18561","snapshot_observed_at":"2026-07-04T03:29:29.797377Z","title":"arXiv preprint arXiv:2406.18561 (2024)","venue":null,"work_id":"f48b53c4-9c32-48a6-9fd3-7c053136fccf","year":2024},"citing_paper":{"arxiv_id":"2606.20196","last_updated":"2026-06-30T06:11:47Z","snapshot_observed_at":"2026-08-12T13:53:15.983933Z","submitted_at":"2026-06-18T13:11:13Z","title":"Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time Adaptation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-26T18:03:47.140620Z"},"links":{"cited_paper":"/paper/2406.18561","citing_paper":"/paper/2606.20196"},"observation_digest":"sha256:fd92822b27e118b9b8eebe77f753913674f6a776521ce5f9064c963a557df479","observation_id":"d2503e77-010c-4c2a-bda0-ed6de750b362","resolution":{"observed_at":"2026-07-04T03:29:29.800843Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18561","last_updated":"2024-05-28T06:54:04Z","snapshot_observed_at":"2026-08-18T19:05:48.420118Z","submitted_at":"2024-05-28T06:54:04Z","title":"SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching","version":1},"cited_work":{"arxiv_id":"2406.18561","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.18561","snapshot_observed_at":"2026-07-04T03:29:29.797377Z","title":"arXiv preprint arXiv:2406.18561 (2024)","venue":null,"work_id":"f48b53c4-9c32-48a6-9fd3-7c053136fccf","year":2024},"citing_paper":{"arxiv_id":"2606.20196","last_updated":"2026-06-30T06:11:47Z","snapshot_observed_at":"2026-08-12T13:53:15.983933Z","submitted_at":"2026-06-18T13:11:13Z","title":"Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time Adaptation","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-01T07:08:57.768207Z"},"links":{"cited_paper":"/paper/2406.18561","citing_paper":"/paper/2606.20196"},"observation_digest":"sha256:f0dd45c68d666a93f5115707bafe54f6c26614383567511b779203a726fb9df0","observation_id":"76e6237e-6d96-4c71-a1cf-e8f03d182b94","resolution":{"observed_at":"2026-07-01T08:45:35.554839Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18561","last_updated":"2024-05-28T06:54:04Z","snapshot_observed_at":"2026-08-18T19:05:48.420118Z","submitted_at":"2024-05-28T06:54:04Z","title":"SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching","version":1},"cited_work":{"arxiv_id":"2406.18561","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.18561","snapshot_observed_at":"2026-07-04T03:29:29.797377Z","title":"arXiv preprint arXiv:2406.18561 (2024)","venue":null,"work_id":"f48b53c4-9c32-48a6-9fd3-7c053136fccf","year":2024},"citing_paper":{"arxiv_id":"2606.29837","last_updated":"2026-06-29T06:24:53Z","snapshot_observed_at":"2026-08-08T03:41:14.155313Z","submitted_at":"2026-06-29T06:24:53Z","title":"Robust Trajectory Distillation: Hybrid Reweighting Meets Teacher-Inspired Targets","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-30T06:54:19.251168Z"},"links":{"cited_paper":"/paper/2406.18561","citing_paper":"/paper/2606.29837"},"observation_digest":"sha256:646df09d308d7ac5dc75d15ce00fa7017c942a6984dbfedb8d6503414f4da82c","observation_id":"0a328a38-a67b-4754-91f6-57b24944be2d","resolution":{"observed_at":"2026-06-30T07:14:22.041703Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.18561/citation-record","integrity":"/paper/2406.18561/integrity","json":"/paper/2406.18561/citation-record.json","paper":"/paper/2406.18561"},"outbound":[],"paper":{"arxiv_id":"2406.18561","last_updated":"2024-05-28T06:54:04Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T19:05:48.420118Z","submitted_at":"2024-05-28T06:54:04Z","title":"SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.18561."}