{"as_of":"2026-08-09T09:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7ee6c79f0b1a2b9a903b864f84f7f6611a46a7110ad5b8b7c0e8a647a792d255","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T14:25:53.232740Z","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":"2026-07-02T14:47:03.317774Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2208.01898","last_updated":"2022-08-03T08:03:12Z","snapshot_observed_at":"2026-07-06T13:38:13.886132Z","submitted_at":"2022-08-03T08:03:12Z","title":"XCon: Learning with Experts for Fine-grained Category Discovery","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.01898","snapshot_observed_at":"2026-08-05T14:25:53.232740Z","title":"Xcon: Learning with experts for fine-grained category dis- covery","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.21424","last_updated":"2026-07-18T12:46:48Z","snapshot_observed_at":"2026-08-09T02:37:59.290280Z","submitted_at":"2025-08-29T08:49:53Z","title":"Unsupervised Incremental Learning Using Confidence-Based Pseudo-Labels","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T14:25:53.232740Z"},"links":{"cited_paper":"/paper/2208.01898","citing_paper":"/paper/2508.21424"},"observation_digest":"sha256:8c00628d4c15f8c88a182bf5335b0b54ecb8c58fdabe08f817924664f026b57b","observation_id":"3311539c-3061-423c-8bf4-ecf173bfa129","resolution":{"observed_at":"2026-08-05T14:25:53.232740Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.01898","last_updated":"2022-08-03T08:03:12Z","snapshot_observed_at":"2026-07-06T13:38:13.886132Z","submitted_at":"2022-08-03T08:03:12Z","title":"XCon: Learning with Experts for Fine-grained Category Discovery","version":1},"cited_work":{"arxiv_id":"2208.01898","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2208.01898","snapshot_observed_at":"2026-07-02T14:47:03.317774Z","title":"Xcon: Learning with experts for fine-grained category dis- covery","venue":null,"work_id":"67d00375-dec0-4590-8932-cd428b547472","year":2022},"citing_paper":{"arxiv_id":"2604.14176","last_updated":"2026-03-25T14:58:42Z","snapshot_observed_at":"2026-08-08T17:09:38.548755Z","submitted_at":"2026-03-25T14:58:42Z","title":"The Devil Is in Gradient Entanglement: Energy-Aware Gradient Coordinator for Robust Generalized Category Discovery","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-15T00:30:02.907230Z"},"links":{"cited_paper":"/paper/2208.01898","citing_paper":"/paper/2604.14176"},"observation_digest":"sha256:c4c0de965696333682768287ad876465d1c28e7ba69f3712dff4c015542be67e","observation_id":"34328a6a-25f3-4694-a557-aecd72551085","resolution":{"observed_at":"2026-05-15T00:33:23.463125Z","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":"2208.01898","last_updated":"2022-08-03T08:03:12Z","snapshot_observed_at":"2026-07-06T13:38:13.886132Z","submitted_at":"2022-08-03T08:03:12Z","title":"XCon: Learning with Experts for Fine-grained Category Discovery","version":1},"cited_work":{"arxiv_id":"2208.01898","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2208.01898","snapshot_observed_at":"2026-07-02T14:47:03.317774Z","title":"Xcon: Learning with experts for fine-grained category dis- covery","venue":null,"work_id":"67d00375-dec0-4590-8932-cd428b547472","year":2022},"citing_paper":{"arxiv_id":"2604.22174","last_updated":"2026-04-24T02:54:18Z","snapshot_observed_at":"2026-07-06T23:08:37.811548Z","submitted_at":"2026-04-24T02:54:18Z","title":"Unlocking Optical Prior: Spectrum-Guided Knowledge Transfer for SAR Generalized Category Discovery","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-08T12:36:11.886012Z"},"links":{"cited_paper":"/paper/2208.01898","citing_paper":"/paper/2604.22174"},"observation_digest":"sha256:77433f04fd8cf5f8e3e6ff190d13f4c3c2ce991f75b029ef2656c4c855be6ca4","observation_id":"a5c6c415-ae13-485c-a5a3-b525f9926de5","resolution":{"observed_at":"2026-05-11T19:06:11.292192Z","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":"2208.01898","last_updated":"2022-08-03T08:03:12Z","snapshot_observed_at":"2026-07-06T13:38:13.886132Z","submitted_at":"2022-08-03T08:03:12Z","title":"XCon: Learning with Experts for Fine-grained Category Discovery","version":1},"cited_work":{"arxiv_id":"2208.01898","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2208.01898","snapshot_observed_at":"2026-07-02T14:47:03.317774Z","title":"Xcon: Learning with experts for fine-grained category dis- covery","venue":null,"work_id":"67d00375-dec0-4590-8932-cd428b547472","year":2022},"citing_paper":{"arxiv_id":"2605.08183","last_updated":"2026-05-05T10:14:30Z","snapshot_observed_at":"2026-07-06T23:20:28.875586Z","submitted_at":"2026-05-05T10:14:30Z","title":"Sparsity Hurts: Simple Linear Adapter Can Boost Generalized Category Discovery","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-12T01:13:39.969280Z"},"links":{"cited_paper":"/paper/2208.01898","citing_paper":"/paper/2605.08183"},"observation_digest":"sha256:161ee85ed2c42232645ad9baaa5a39daa49d4602ec19e79ccb541533b2059c63","observation_id":"3e970096-b0ea-46c5-ad79-021f2eb6098c","resolution":{"observed_at":"2026-05-12T08:21:24.888499Z","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":"2208.01898","last_updated":"2022-08-03T08:03:12Z","snapshot_observed_at":"2026-07-06T13:38:13.886132Z","submitted_at":"2022-08-03T08:03:12Z","title":"XCon: Learning with Experts for Fine-grained Category Discovery","version":1},"cited_work":{"arxiv_id":"2208.01898","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2208.01898","snapshot_observed_at":"2026-07-02T14:47:03.317774Z","title":"Xcon: Learning with experts for fine-grained category dis- covery","venue":null,"work_id":"67d00375-dec0-4590-8932-cd428b547472","year":2022},"citing_paper":{"arxiv_id":"2607.00620","last_updated":"2026-07-01T08:40:46Z","snapshot_observed_at":"2026-07-07T00:06:14.968413Z","submitted_at":"2026-07-01T08:40:46Z","title":"Identifying Latent Concepts and Structures for Generalized Category Discovery","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-07-02T14:42:01.334822Z"},"links":{"cited_paper":"/paper/2208.01898","citing_paper":"/paper/2607.00620"},"observation_digest":"sha256:dfd65711e4ff9952db05007eec7fabfd8a008194cd591b8be155b31c007b38ca","observation_id":"a91643b7-113e-4e08-97f3-ddef5cbbe254","resolution":{"observed_at":"2026-07-02T14:47:03.319475Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2208.01898","last_updated":"2022-08-03T08:03:12Z","snapshot_observed_at":"2026-07-06T13:38:13.886132Z","submitted_at":"2022-08-03T08:03:12Z","title":"XCon: Learning with Experts for Fine-grained Category Discovery","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.01898","snapshot_observed_at":"2026-07-11T17:32:24.547251Z","title":"Xcon: Learning with experts for fine-grained category discovery.arXiv preprint arXiv:2208.01898, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.04548","last_updated":"2026-07-05T23:36:36Z","snapshot_observed_at":"2026-08-08T03:02:23.476662Z","submitted_at":"2026-07-05T23:36:36Z","title":"Explainable Novel Category Discovery in Semantic Concept Space","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-11T17:32:24.547251Z"},"links":{"cited_paper":"/paper/2208.01898","citing_paper":"/paper/2607.04548"},"observation_digest":"sha256:de766ca2100ce76b5502e08f1040f42f5a892c21c2a7d13ea9b3c8209c41b340","observation_id":"570fb540-c18b-4ee6-9258-8693d70198d6","resolution":{"observed_at":"2026-07-11T17:32:24.547251Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2208.01898/citation-record","integrity":"/paper/2208.01898/integrity","json":"/paper/2208.01898/citation-record.json","paper":"/paper/2208.01898"},"outbound":[],"paper":{"arxiv_id":"2208.01898","last_updated":"2022-08-03T08:03:12Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T13:38:13.886132Z","submitted_at":"2022-08-03T08:03:12Z","title":"XCon: Learning with Experts for Fine-grained Category Discovery"},"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 6 inbound Pith citation observations for arXiv:2208.01898."}