{"as_of":"2026-08-09T00:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:439691d2caadc00acad441e00eebe15ebbe5e34faccb5a53a098f7ddc2a162fd","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T23:49:14.868974Z","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":"2026-06-29T19:03:51.260445Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.21151","last_updated":"2024-12-30T18:32:05Z","snapshot_observed_at":"2026-08-03T00:17:46.848942Z","submitted_at":"2024-12-30T18:32:05Z","title":"PyG-SSL: A Graph Self-Supervised Learning Toolkit","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.21151","snapshot_observed_at":"2026-08-07T23:49:14.868974Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08767","last_updated":"2025-05-26T01:07:58Z","snapshot_observed_at":"2026-08-07T23:42:22.824027Z","submitted_at":"2025-02-12T20:13:56Z","title":"SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence","version":2},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-08-07T23:49:14.868974Z"},"links":{"cited_paper":"/paper/2412.21151","citing_paper":"/paper/2502.08767"},"observation_digest":"sha256:24ed52b794376183b8bfe811bfae9545833adb131df4b8aa77e15849088ae415","observation_id":"f2f44f8a-5ec3-4b70-9194-fa3cae9dd27f","resolution":{"observed_at":"2026-08-07T23:49:14.868974Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.21151","last_updated":"2024-12-30T18:32:05Z","snapshot_observed_at":"2026-08-03T00:17:46.848942Z","submitted_at":"2024-12-30T18:32:05Z","title":"PyG-SSL: A Graph Self-Supervised Learning Toolkit","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.21151","snapshot_observed_at":"2026-08-07T14:35:00.450398Z","title":"Pyg-ssl: A graph self-supervised learning toolkit","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18442","last_updated":"2025-05-24T00:45:07Z","snapshot_observed_at":"2026-08-07T22:39:40.933501Z","submitted_at":"2025-05-24T00:45:07Z","title":"Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting","version":1},"reference_index":110,"source":"arxiv_source","source_observed_at":"2026-08-07T14:35:00.450398Z"},"links":{"cited_paper":"/paper/2412.21151","citing_paper":"/paper/2505.18442"},"observation_digest":"sha256:843ed5e2ce0d2a84e113efaa4f89b8744cba889ecd7cc6982c295d254f5e363a","observation_id":"b069a540-61de-45df-b7dd-039ed8ac2dda","resolution":{"observed_at":"2026-08-07T14:35:00.450398Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.21151","last_updated":"2024-12-30T18:32:05Z","snapshot_observed_at":"2026-08-03T00:17:46.848942Z","submitted_at":"2024-12-30T18:32:05Z","title":"PyG-SSL: A Graph Self-Supervised Learning Toolkit","version":1},"cited_work":{"arxiv_id":"2412.21151","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.21151","snapshot_observed_at":"2026-06-29T19:03:51.260445Z","title":"Zhao, Z., Su, Y ., Li, Y ., Zou, Y ., Li, R., and Zhang, R","venue":null,"work_id":"accbe7e3-425c-4c44-bfbd-77f006fd30b8","year":2024},"citing_paper":{"arxiv_id":"2604.20858","last_updated":"2026-03-01T23:20:48Z","snapshot_observed_at":"2026-07-31T06:29:20.014752Z","submitted_at":"2026-03-01T23:20:48Z","title":"Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation","version":1},"reference_index":165,"source":"pdf_text","source_observed_at":"2026-05-15T17:30:44.919870Z"},"links":{"cited_paper":"/paper/2412.21151","citing_paper":"/paper/2604.20858"},"observation_digest":"sha256:656eca4fb0323346c07f592568e7755f0565e91ea3e2b5d1257d32790c755fd4","observation_id":"41754d56-332d-4819-84df-ea59e02aab4d","resolution":{"observed_at":"2026-05-15T17:31:22.150326Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.21151","last_updated":"2024-12-30T18:32:05Z","snapshot_observed_at":"2026-08-03T00:17:46.848942Z","submitted_at":"2024-12-30T18:32:05Z","title":"PyG-SSL: A Graph Self-Supervised Learning Toolkit","version":1},"cited_work":{"arxiv_id":"2412.21151","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.21151","snapshot_observed_at":"2026-06-29T19:03:51.260445Z","title":"Zhao, Z., Su, Y ., Li, Y ., Zou, Y ., Li, R., and Zhang, R","venue":null,"work_id":"accbe7e3-425c-4c44-bfbd-77f006fd30b8","year":2024},"citing_paper":{"arxiv_id":"2605.26857","last_updated":"2026-05-26T11:16:31Z","snapshot_observed_at":"2026-07-06T23:36:39.472687Z","submitted_at":"2026-05-26T11:16:31Z","title":"Generalist Graph Anomaly Detection via Prototype-Based Distillation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T19:01:14.605640Z"},"links":{"cited_paper":"/paper/2412.21151","citing_paper":"/paper/2605.26857"},"observation_digest":"sha256:7047668c7995050560cc8b552d51eb80d7750a2bfbb9bc2a431fd4c210ed0e7f","observation_id":"009e781c-8f49-4da3-bf8d-b114ddffe580","resolution":{"observed_at":"2026-06-29T19:03:51.262073Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.21151/citation-record","integrity":"/paper/2412.21151/integrity","json":"/paper/2412.21151/citation-record.json","paper":"/paper/2412.21151"},"outbound":[],"paper":{"arxiv_id":"2412.21151","last_updated":"2024-12-30T18:32:05Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-03T00:17:46.848942Z","submitted_at":"2024-12-30T18:32:05Z","title":"PyG-SSL: A Graph Self-Supervised Learning Toolkit"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.21151."}