{"as_of":"2026-08-10T04:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6d342213e916854da2584248545955ee11cb5e2c7003292ed366cba5aa5c3fda","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:50:52.735945Z","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":"2026-07-02T01:06:24.680720Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2204.07689","last_updated":"2022-04-16T00:56:12Z","snapshot_observed_at":"2026-08-06T20:30:25.020976Z","submitted_at":"2022-04-16T00:56:12Z","title":"Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners","version":1},"cited_work":{"arxiv_id":"2204.07689","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2204.07689","snapshot_observed_at":"2026-07-02T01:06:24.680720Z","title":"2022 , journal =","venue":null,"work_id":"d1e7e56b-f7d4-448d-a949-15aa290c4d3a","year":2022},"citing_paper":{"arxiv_id":"2502.05564","last_updated":"2025-05-24T08:05:47Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-08T13:25:04Z","title":"TabICL: A Tabular Foundation Model for In-Context Learning on Large Data","version":2},"reference_index":205,"source":"arxiv_source","source_observed_at":"2026-05-20T13:35:02.018244Z"},"links":{"cited_paper":"/paper/2204.07689","citing_paper":"/paper/2502.05564"},"observation_digest":"sha256:9b0148c250fb3921c512a4a5a4513f6753aba0641df5d4187d5505412485be05","observation_id":"fd99d83a-6224-4e57-a4b4-0de329320b5c","resolution":{"observed_at":"2026-05-20T13:35:02.424469Z","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":"2204.07689","last_updated":"2022-04-16T00:56:12Z","snapshot_observed_at":"2026-08-06T20:30:25.020976Z","submitted_at":"2022-04-16T00:56:12Z","title":"Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.07689","snapshot_observed_at":"2026-08-06T18:50:52.735945Z","title":"Sparsely activated mixture-of-experts are robust multi-task learners,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.07223","last_updated":"2025-07-13T15:21:59Z","snapshot_observed_at":"2026-08-09T15:41:13.997855Z","submitted_at":"2025-07-09T18:57:04Z","title":"Compute Can't Handle the Truth: Why Communication Tax Prioritizes Memory and Interconnects in Modern AI Infrastructure","version":2},"reference_index":169,"source":"pdf_text","source_observed_at":"2026-08-06T18:50:52.735945Z"},"links":{"cited_paper":"/paper/2204.07689","citing_paper":"/paper/2507.07223"},"observation_digest":"sha256:48a5262a0d3f930510787047aebeade6cdce364864c6115c30a80ba66d402002","observation_id":"6b226d63-fc78-4bd6-99b8-debd1fd846c3","resolution":{"observed_at":"2026-08-06T18:50:52.735945Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.07689","last_updated":"2022-04-16T00:56:12Z","snapshot_observed_at":"2026-08-06T20:30:25.020976Z","submitted_at":"2022-04-16T00:56:12Z","title":"Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.07689","snapshot_observed_at":"2026-08-06T01:05:44.679323Z","title":"Sparsely activated mixture-of-experts are robust multi-task learners,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.10009","last_updated":"2025-08-05T23:56:11Z","snapshot_observed_at":"2026-08-09T22:17:49.436964Z","submitted_at":"2025-08-05T23:56:11Z","title":"Beyond Hard Sharing: Efficient Multi-Task Speech-to-Text Modeling with Supervised Mixture of Experts","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T01:05:44.679323Z"},"links":{"cited_paper":"/paper/2204.07689","citing_paper":"/paper/2508.10009"},"observation_digest":"sha256:333e4f310360b5148c3186600ebef390f0cb751db3ac6b565eb7573c8c11c822","observation_id":"13ecb848-b814-4af7-853b-f9a0e5895d14","resolution":{"observed_at":"2026-08-06T01:05:44.679323Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.07689","last_updated":"2022-04-16T00:56:12Z","snapshot_observed_at":"2026-08-06T20:30:25.020976Z","submitted_at":"2022-04-16T00:56:12Z","title":"Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.07689","snapshot_observed_at":"2026-08-04T21:37:22.576048Z","title":"Sparsely activated mixture-of-experts are robust multi-task learners,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.08032","last_updated":"2025-09-09T16:09:19Z","snapshot_observed_at":"2026-08-08T14:11:18.383165Z","submitted_at":"2025-09-09T16:09:19Z","title":"SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T21:37:22.576048Z"},"links":{"cited_paper":"/paper/2204.07689","citing_paper":"/paper/2509.08032"},"observation_digest":"sha256:d63c94f9b88a7971027c98fdb06449882368b121fbc9a0334a330bbabc851e32","observation_id":"25ce529a-fad7-4218-9af1-0a90828a2deb","resolution":{"observed_at":"2026-08-04T21:37:22.576048Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.07689","last_updated":"2022-04-16T00:56:12Z","snapshot_observed_at":"2026-08-06T20:30:25.020976Z","submitted_at":"2022-04-16T00:56:12Z","title":"Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners","version":1},"cited_work":{"arxiv_id":"2204.07689","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2204.07689","snapshot_observed_at":"2026-07-02T01:06:24.680720Z","title":"2022 , journal =","venue":null,"work_id":"d1e7e56b-f7d4-448d-a949-15aa290c4d3a","year":2022},"citing_paper":{"arxiv_id":"2509.08470","last_updated":"2026-04-28T12:49:51Z","snapshot_observed_at":"2026-07-31T07:42:25.034469Z","submitted_at":"2025-09-10T10:18:56Z","title":"Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-18T18:07:34.965356Z"},"links":{"cited_paper":"/paper/2204.07689","citing_paper":"/paper/2509.08470"},"observation_digest":"sha256:107e1d6bd7faf704a5084f925d57f92865242143e5753837b2e3dd68174a2dad","observation_id":"e7811c61-a20d-4bbc-b274-464d4a9f3f10","resolution":{"observed_at":"2026-05-18T18:11:42.943471Z","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":"2204.07689","last_updated":"2022-04-16T00:56:12Z","snapshot_observed_at":"2026-08-06T20:30:25.020976Z","submitted_at":"2022-04-16T00:56:12Z","title":"Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners","version":1},"cited_work":{"arxiv_id":"2204.07689","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2204.07689","snapshot_observed_at":"2026-07-02T01:06:24.680720Z","title":"2022 , journal =","venue":null,"work_id":"d1e7e56b-f7d4-448d-a949-15aa290c4d3a","year":2022},"citing_paper":{"arxiv_id":"2604.18866","last_updated":"2026-04-20T21:41:23Z","snapshot_observed_at":"2026-07-06T23:05:39.724237Z","submitted_at":"2026-04-20T21:41:23Z","title":"HMR-Net: Hierarchical Modular Routing for Cross-Domain Object Detection in Aerial Images","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-10T04:29:50.926732Z"},"links":{"cited_paper":"/paper/2204.07689","citing_paper":"/paper/2604.18866"},"observation_digest":"sha256:e1e039dbd467e628ae35a9719e5a5772a4fb62c0084e6e864b07cd6eb1f6b693","observation_id":"8efd5b96-7eed-43d1-a37a-84fefd652384","resolution":{"observed_at":"2026-05-11T11:56:06.186643Z","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":"2204.07689","last_updated":"2022-04-16T00:56:12Z","snapshot_observed_at":"2026-08-06T20:30:25.020976Z","submitted_at":"2022-04-16T00:56:12Z","title":"Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners","version":1},"cited_work":{"arxiv_id":"2204.07689","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2204.07689","snapshot_observed_at":"2026-07-02T01:06:24.680720Z","title":"2022 , journal =","venue":null,"work_id":"d1e7e56b-f7d4-448d-a949-15aa290c4d3a","year":2022},"citing_paper":{"arxiv_id":"2605.09355","last_updated":"2026-05-10T06:09:32Z","snapshot_observed_at":"2026-07-06T23:21:26.017420Z","submitted_at":"2026-05-10T06:09:32Z","title":"FLAME: Adaptive Mixture-of-Experts for Continual Multimodal Multi-Task Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-12T04:14:04.151375Z"},"links":{"cited_paper":"/paper/2204.07689","citing_paper":"/paper/2605.09355"},"observation_digest":"sha256:2e44a15dc65a82e58f7bccb425c020526e0be26b0ca9d50338f46d093df464ca","observation_id":"fb4c8959-8eef-42d6-bd6b-21642c5c0a02","resolution":{"observed_at":"2026-05-12T06:31:25.493705Z","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":"2204.07689","last_updated":"2022-04-16T00:56:12Z","snapshot_observed_at":"2026-08-06T20:30:25.020976Z","submitted_at":"2022-04-16T00:56:12Z","title":"Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners","version":1},"cited_work":{"arxiv_id":"2204.07689","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2204.07689","snapshot_observed_at":"2026-07-02T01:06:24.680720Z","title":"2022 , journal =","venue":null,"work_id":"d1e7e56b-f7d4-448d-a949-15aa290c4d3a","year":2022},"citing_paper":{"arxiv_id":"2606.01784","last_updated":"2026-06-01T07:04:12Z","snapshot_observed_at":"2026-08-03T06:45:30.142004Z","submitted_at":"2026-06-01T07:04:12Z","title":"MoRE: A Mixture-of-Experts-Based Task-Adaptive End-to-End Network for Multimodal MRI Reconstruction","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-28T12:35:58.045852Z"},"links":{"cited_paper":"/paper/2204.07689","citing_paper":"/paper/2606.01784"},"observation_digest":"sha256:ac4d2d693e47e0aba6abe77d3c7f4fa99e520315cdb66eb80154e3f16c8e2fde","observation_id":"27d3f887-95cc-4a14-b24f-4a15dff969b5","resolution":{"observed_at":"2026-07-02T01:06:24.682452Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2204.07689/citation-record","integrity":"/paper/2204.07689/integrity","json":"/paper/2204.07689/citation-record.json","paper":"/paper/2204.07689"},"outbound":[],"paper":{"arxiv_id":"2204.07689","last_updated":"2022-04-16T00:56:12Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T20:30:25.020976Z","submitted_at":"2022-04-16T00:56:12Z","title":"Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners"},"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 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2204.07689."}