{"as_of":"2026-08-06T06:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:491079e013087eca7f60cd4d2ea98cb69db7798a833ba1dd35fc69ad87ff5766","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T11:34:02.562929Z","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":"2026-07-03T07:57:44.654998Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2203.12533","last_updated":"2022-03-23T16:50:53Z","snapshot_observed_at":"2026-07-06T12:51:26.961441Z","submitted_at":"2022-03-23T16:50:53Z","title":"Pathways: Asynchronous Distributed Dataflow for ML","version":1},"cited_work":{"arxiv_id":"2203.12533","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.12533","snapshot_observed_at":"2026-07-03T07:57:44.654998Z","title":"Pathways: Asynchronous distributed dataﬂow for ml","venue":null,"work_id":"6192fe03-df78-42e3-88fa-002af7197669","year":2022},"citing_paper":{"arxiv_id":"2204.02311","last_updated":"2022-10-05T06:02:24Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-05T16:11:45Z","title":"PaLM: Scaling Language Modeling with Pathways","version":5},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-05-10T23:45:06.755839Z"},"links":{"cited_paper":"/paper/2203.12533","citing_paper":"/paper/2204.02311"},"observation_digest":"sha256:264e08dc28fcdafe8a51fa553d946c30ce9d306a21781d01cc1038dce4f9f7f5","observation_id":"a815377e-0fc4-415e-956f-8ce646ef5101","resolution":{"observed_at":"2026-05-10T23:45:07.093767Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.12533","last_updated":"2022-03-23T16:50:53Z","snapshot_observed_at":"2026-07-06T12:51:26.961441Z","submitted_at":"2022-03-23T16:50:53Z","title":"Pathways: Asynchronous Distributed Dataflow for ML","version":1},"cited_work":{"arxiv_id":"2203.12533","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.12533","snapshot_observed_at":"2026-07-03T07:57:44.654998Z","title":"Pathways: Asynchronous distributed dataﬂow for ml","venue":null,"work_id":"6192fe03-df78-42e3-88fa-002af7197669","year":2022},"citing_paper":{"arxiv_id":"2205.01917","last_updated":"2022-06-14T00:48:04Z","snapshot_observed_at":"2026-07-06T13:06:27.153765Z","submitted_at":"2022-05-04T07:01:14Z","title":"CoCa: Contrastive Captioners are Image-Text Foundation Models","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-15T10:53:08.292063Z"},"links":{"cited_paper":"/paper/2203.12533","citing_paper":"/paper/2205.01917"},"observation_digest":"sha256:5dcce687de1177a47053110198fbffa5cb080578b72ccc7f273dbebbde93feac","observation_id":"f8a0fd45-d5b0-4d56-a823-e7243f704868","resolution":{"observed_at":"2026-05-15T10:53:08.365822Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.12533","last_updated":"2022-03-23T16:50:53Z","snapshot_observed_at":"2026-07-06T12:51:26.961441Z","submitted_at":"2022-03-23T16:50:53Z","title":"Pathways: Asynchronous Distributed Dataflow for ML","version":1},"cited_work":{"arxiv_id":"2203.12533","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.12533","snapshot_observed_at":"2026-07-03T07:57:44.654998Z","title":"Pathways: Asynchronous distributed dataﬂow for ml","venue":null,"work_id":"6192fe03-df78-42e3-88fa-002af7197669","year":2022},"citing_paper":{"arxiv_id":"2605.03598","last_updated":"2026-05-06T09:13:50Z","snapshot_observed_at":"2026-07-06T23:16:30.147006Z","submitted_at":"2026-05-05T10:18:53Z","title":"Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-07T01:25:44.244795Z"},"links":{"cited_paper":"/paper/2203.12533","citing_paper":"/paper/2605.03598"},"observation_digest":"sha256:6bf1f32fb804a37ce8cfbc30fa8589f3d813d60860263f0dccdafaf5922d071f","observation_id":"b4478030-56f2-458d-9029-3f00ae72213e","resolution":{"observed_at":"2026-05-12T10:56:30.691074Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.12533","last_updated":"2022-03-23T16:50:53Z","snapshot_observed_at":"2026-07-06T12:51:26.961441Z","submitted_at":"2022-03-23T16:50:53Z","title":"Pathways: Asynchronous Distributed Dataflow for ML","version":1},"cited_work":{"arxiv_id":"2203.12533","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.12533","snapshot_observed_at":"2026-07-03T07:57:44.654998Z","title":"Pathways: Asynchronous distributed dataﬂow for ml","venue":null,"work_id":"6192fe03-df78-42e3-88fa-002af7197669","year":2022},"citing_paper":{"arxiv_id":"2605.03598","last_updated":"2026-05-06T09:13:50Z","snapshot_observed_at":"2026-07-06T23:16:30.147006Z","submitted_at":"2026-05-05T10:18:53Z","title":"Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-08T18:32:12.310391Z"},"links":{"cited_paper":"/paper/2203.12533","citing_paper":"/paper/2605.03598"},"observation_digest":"sha256:caf74f4fc0513ff66e58b6f48e594dd40650b8f59400adce01511c58adec20f7","observation_id":"cd69a097-79f7-4736-b4a4-d5f41176674e","resolution":{"observed_at":"2026-05-09T06:20:43.148159Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.12533","last_updated":"2022-03-23T16:50:53Z","snapshot_observed_at":"2026-07-06T12:51:26.961441Z","submitted_at":"2022-03-23T16:50:53Z","title":"Pathways: Asynchronous Distributed Dataflow for ML","version":1},"cited_work":{"arxiv_id":"2203.12533","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.12533","snapshot_observed_at":"2026-07-03T07:57:44.654998Z","title":"Pathways: Asynchronous distributed dataﬂow for ml","venue":null,"work_id":"6192fe03-df78-42e3-88fa-002af7197669","year":2022},"citing_paper":{"arxiv_id":"2606.11169","last_updated":"2026-06-09T17:48:41Z","snapshot_observed_at":"2026-08-03T00:36:26.241446Z","submitted_at":"2026-06-09T17:48:41Z","title":"Piper: A Programmable Distributed Training System","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-27T11:34:02.562929Z"},"links":{"cited_paper":"/paper/2203.12533","citing_paper":"/paper/2606.11169"},"observation_digest":"sha256:ad99ba1557de0e0df6740687aac345f4a536e8c2debf76c85478048d5dbf63d4","observation_id":"518a7e18-5593-4bcb-bf6e-33297c63047f","resolution":{"observed_at":"2026-07-03T07:57:44.656414Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2203.12533/citation-record","integrity":"/paper/2203.12533/integrity","json":"/paper/2203.12533/citation-record.json","paper":"/paper/2203.12533"},"outbound":[],"paper":{"arxiv_id":"2203.12533","last_updated":"2022-03-23T16:50:53Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-07-06T12:51:26.961441Z","submitted_at":"2022-03-23T16:50:53Z","title":"Pathways: Asynchronous Distributed Dataflow for ML"},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2203.12533."}