{"as_of":"2026-08-14T17:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4a76890a99b868a9fe5c2e05578e2ba95407b4530a8b32d1d610553d2bd1e946","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":"2026-08-14T06:32:32.682623+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":"2026-08-06T21:32:57.810757Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T17:16:05.540338Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.15156","last_updated":"2024-02-24T13:03:49Z","snapshot_observed_at":"2026-08-13T05:17:47.916183Z","submitted_at":"2023-11-26T01:23:01Z","title":"xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15156","snapshot_observed_at":"2026-08-06T21:32:57.810757Z","title":"xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.23857","last_updated":"2025-06-30T13:51:25Z","snapshot_observed_at":"2026-08-08T14:39:51.890324Z","submitted_at":"2025-06-30T13:51:25Z","title":"Emerging AI Approaches for Cancer Spatial Omics","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T21:32:57.810757Z"},"links":{"cited_paper":"/paper/2311.15156","citing_paper":"/paper/2506.23857"},"observation_digest":"sha256:bd380daeabb71f6ae536195835b8470759f8d4f37fe5877f4929082494bdfe70","observation_id":"4ec75036-2c2e-4274-af93-1acea6ec3af1","resolution":{"observed_at":"2026-08-06T21:32:57.810757Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15156","last_updated":"2024-02-24T13:03:49Z","snapshot_observed_at":"2026-08-13T05:17:47.916183Z","submitted_at":"2023-11-26T01:23:01Z","title":"xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15156","snapshot_observed_at":"2026-08-06T19:47:40.667592Z","title":"xtrimogene: An efficient and scalable representation learner for single-cell rna-seq data","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.04704","last_updated":"2026-06-15T21:09:00Z","snapshot_observed_at":"2026-08-12T18:46:32.771537Z","submitted_at":"2025-07-07T06:54:02Z","title":"SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes","version":3},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T19:47:40.667592Z"},"links":{"cited_paper":"/paper/2311.15156","citing_paper":"/paper/2507.04704"},"observation_digest":"sha256:29fc67672176de115e13adea2d6e5d4dd7413f1362c4d6411c1467374749c6c9","observation_id":"73cd1a89-f90b-44e8-8f33-79297c5afae1","resolution":{"observed_at":"2026-08-06T19:47:40.667592Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15156","last_updated":"2024-02-24T13:03:49Z","snapshot_observed_at":"2026-08-13T05:17:47.916183Z","submitted_at":"2023-11-26T01:23:01Z","title":"xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data","version":2},"cited_work":{"arxiv_id":"2311.15156","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.15156","snapshot_observed_at":"2026-08-06T17:16:05.540338Z","title":"xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data","venue":"cs.LG","work_id":"fb1a8399-2088-44ad-ba18-328c38de1a75","year":2023},"citing_paper":{"arxiv_id":"2507.11588","last_updated":"2025-07-23T15:22:26Z","snapshot_observed_at":"2026-08-12T18:46:22.704740Z","submitted_at":"2025-07-15T14:47:01Z","title":"SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T17:15:59.853172Z"},"links":{"cited_paper":"/paper/2311.15156","citing_paper":"/paper/2507.11588"},"observation_digest":"sha256:1d4368bf8a1add266cf112a7f5309af088632bbc953a0603f7923fd67423ee6a","observation_id":"ab1e974e-e072-4a32-a735-648d929c2e6d","resolution":{"observed_at":"2026-08-06T17:16:05.661150Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2311.15156/citation-record","integrity":"/paper/2311.15156/integrity","json":"/paper/2311.15156/citation-record.json","paper":"/paper/2311.15156"},"outbound":[],"paper":{"arxiv_id":"2311.15156","last_updated":"2024-02-24T13:03:49Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T05:17:47.916183Z","submitted_at":"2023-11-26T01:23:01Z","title":"xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.15156."}