{"as_of":"2026-08-18T09:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e3d53f344617f2a3e33a549fa1e89181e8e839258d8befa2f97b02f4ad99c93a","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":"2026-08-18T06:34:40.430872+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":"2026-08-10T22:40:48.836636Z","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":"2026-05-21T08:34:05.376571Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2010.13902","last_updated":"2021-04-03T15:34:00Z","snapshot_observed_at":"2026-08-17T01:29:59.811413Z","submitted_at":"2020-10-22T20:13:43Z","title":"Graph Contrastive Learning with Augmentations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.13902","snapshot_observed_at":"2026-08-10T22:40:48.836636Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2501.01073","last_updated":"2025-06-03T16:53:33Z","snapshot_observed_at":"2026-08-15T15:11:09.002273Z","submitted_at":"2025-01-02T05:44:11Z","title":"Graph Generative Pre-trained Transformer","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T22:40:48.836636Z"},"links":{"cited_paper":"/paper/2010.13902","citing_paper":"/paper/2501.01073"},"observation_digest":"sha256:50f31821d8438e08d9eea68a9f7f7259b5c037087aaa39954c2714958be02cc7","observation_id":"71032502-6f1f-46d5-81e1-33d6559571bb","resolution":{"observed_at":"2026-08-10T22:40:48.836636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.13902","last_updated":"2021-04-03T15:34:00Z","snapshot_observed_at":"2026-08-17T01:29:59.811413Z","submitted_at":"2020-10-22T20:13:43Z","title":"Graph Contrastive Learning with Augmentations","version":3},"cited_work":{"arxiv_id":"2010.13902","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2010.13902","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"https://arxiv.org/abs/2010.13902","venue":null,"work_id":"926901f4-7eea-4696-9b28-d36eb97b6d84","year":2021},"citing_paper":{"arxiv_id":"2605.19916","last_updated":"2026-05-19T14:40:51Z","snapshot_observed_at":"2026-08-15T13:29:55.108772Z","submitted_at":"2026-05-19T14:40:51Z","title":"Fast and Featureless Node Representation Learning with Partial Pairwise Supervision","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-20T06:39:02.277629Z"},"links":{"cited_paper":"/paper/2010.13902","citing_paper":"/paper/2605.19916"},"observation_digest":"sha256:d8ed662dd77af2591d629805e6ac7ddbeb27bd09a34cfabb7387b904bee2639e","observation_id":"55d27785-dceb-4931-a647-1ee5c1b90e91","resolution":{"observed_at":"2026-05-20T06:43:06.057025Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.13902","last_updated":"2021-04-03T15:34:00Z","snapshot_observed_at":"2026-08-17T01:29:59.811413Z","submitted_at":"2020-10-22T20:13:43Z","title":"Graph Contrastive Learning with Augmentations","version":3},"cited_work":{"arxiv_id":"2010.13902","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2010.13902","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"https://arxiv.org/abs/2010.13902","venue":null,"work_id":"926901f4-7eea-4696-9b28-d36eb97b6d84","year":2021},"citing_paper":{"arxiv_id":"2605.20248","last_updated":"2026-05-18T06:47:41Z","snapshot_observed_at":"2026-08-17T17:29:58.157822Z","submitted_at":"2026-05-18T06:47:41Z","title":"Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-21T08:32:32.410473Z"},"links":{"cited_paper":"/paper/2010.13902","citing_paper":"/paper/2605.20248"},"observation_digest":"sha256:d58a2302c843ddf6e441380fe8709a586f0d99e58b7617e15c9f6aa660161150","observation_id":"e7ef76df-dfb2-4586-86c9-315cb4f9ff15","resolution":{"observed_at":"2026-05-21T08:34:05.378855Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.13902","last_updated":"2021-04-03T15:34:00Z","snapshot_observed_at":"2026-08-17T01:29:59.811413Z","submitted_at":"2020-10-22T20:13:43Z","title":"Graph Contrastive Learning with Augmentations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.13902","snapshot_observed_at":"2026-07-31T18:33:45.438419Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.24314","last_updated":"2026-07-27T11:58:56Z","snapshot_observed_at":"2026-08-17T19:37:06.766053Z","submitted_at":"2026-07-27T11:58:56Z","title":"MEGA-CL: A Molecular Foundation Model for Generalizable ADMET Prediction through Graph External Attention and Contrastive Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-31T18:33:45.438419Z"},"links":{"cited_paper":"/paper/2010.13902","citing_paper":"/paper/2607.24314"},"observation_digest":"sha256:33f5e07746a958eb96c73cfe3db9b39414a6d44db20a9b7ff1548da2adf8ef27","observation_id":"2d264aec-cf6e-4c6f-af96-a7e6568ecb50","resolution":{"observed_at":"2026-07-31T18:33:45.438419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2010.13902/citation-record","integrity":"/paper/2010.13902/integrity","json":"/paper/2010.13902/citation-record.json","paper":"/paper/2010.13902"},"outbound":[],"paper":{"arxiv_id":"2010.13902","last_updated":"2021-04-03T15:34:00Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T01:29:59.811413Z","submitted_at":"2020-10-22T20:13:43Z","title":"Graph Contrastive Learning with Augmentations"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2010.13902."}