{"as_of":"2026-08-08T02:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bc6e957eed9c24aa43eef8b8ff0eaf15eb9a6b21c823230767b8501d22ae5182","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T11:57:01.269431Z","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":"2026-05-15T15:30:07.721900Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.13951","last_updated":"2022-06-28T12:14:15Z","snapshot_observed_at":"2026-07-06T13:25:27.826746Z","submitted_at":"2022-06-28T12:14:15Z","title":"Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.13951","snapshot_observed_at":"2026-08-05T11:57:01.269431Z","title":"Ro- bustifying vision transformer without retraining from scratch by test-time class-conditional feature alignment","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.269431Z"},"links":{"cited_paper":"/paper/2206.13951","citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:099cec17ee50942fe57074d36796e1a10eae4395ec974ed462c14fb1cb091b94","observation_id":"5874ae33-7b1e-4858-9304-0e234f74f0e4","resolution":{"observed_at":"2026-08-05T11:57:01.269431Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.13951","last_updated":"2022-06-28T12:14:15Z","snapshot_observed_at":"2026-07-06T13:25:27.826746Z","submitted_at":"2022-06-28T12:14:15Z","title":"Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment","version":1},"cited_work":{"arxiv_id":"2206.13951","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.13951","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Robustifying vision transformer with- out retraining from scratch by test-time class-conditional feature alignment.arXiv preprint arXiv:2206.13951","venue":null,"work_id":"860fb1dc-3e66-4981-97e6-929cca884722","year":null},"citing_paper":{"arxiv_id":"2603.07926","last_updated":"2026-04-14T07:44:05Z","snapshot_observed_at":"2026-08-06T19:08:35.800821Z","submitted_at":"2026-03-09T03:42:44Z","title":"IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-15T15:26:37.304652Z"},"links":{"cited_paper":"/paper/2206.13951","citing_paper":"/paper/2603.07926"},"observation_digest":"sha256:a302b0d083daeb3c7607c8797d81f2c3852fb021467a18f82167239fa194435e","observation_id":"73b93b3c-79a4-4988-b8dc-d74e48b9516a","resolution":{"observed_at":"2026-05-15T15:30:07.725398Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2206.13951/citation-record","integrity":"/paper/2206.13951/integrity","json":"/paper/2206.13951/citation-record.json","paper":"/paper/2206.13951"},"outbound":[],"paper":{"arxiv_id":"2206.13951","last_updated":"2022-06-28T12:14:15Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T13:25:27.826746Z","submitted_at":"2022-06-28T12:14:15Z","title":"Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.13951."}