{"as_of":"2026-08-15T09:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c981f0726cdf1637011ad4fb7d4716bde144672b69e7d97b5482427d87235b26","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T13:25:20.519329Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2412.13184/citation-record","integrity":"/paper/2412.13184/integrity","json":"/paper/2412.13184/citation-record.json","paper":"/paper/2412.13184"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.360748Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.360748Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:4620ad670be35d71eaa6192d56df2c4c0a2253004b1c3778650b045ecdac4c8e","observation_id":"4f20da02-2868-4130-95d8-348974df9ef7","resolution":{"observed_at":"2026-08-11T13:25:20.360748Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.367650Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.367650Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:9041fdec1b2712fadc2e5f48e4de920f66055defabef7e224bc0d817485550d6","observation_id":"7b72a4b8-e6fd-49ac-95b7-447d83857c0e","resolution":{"observed_at":"2026-08-11T13:25:20.367650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.374887Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.374887Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:661eea9b11d867783b3938a82d2a4d38b8b7238b97e29d126e04bf3614fa3886","observation_id":"0b3169f7-489f-45f6-9881-4a688cd4859f","resolution":{"observed_at":"2026-08-11T13:25:20.374887Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:21.007285Z","title":null,"venue":null,"work_id":"9165954e-8479-4296-8a0f-39a41cb3136c","year":2018},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.380175Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:d291aa18cb6439a8b05bd9f36941b5ea30605944eee71ec3290ca506e31e2aea","observation_id":"2f0e69ce-16c3-486a-ac59-a74e6a7c719e","resolution":{"observed_at":"2026-08-11T13:25:21.014523Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.988736Z","title":null,"venue":null,"work_id":"5296f9d1-83be-49aa-8ad7-b4ac68a48b7c","year":2021},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.386177Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:5af5a833b0a9c2bcad394f886bdf084bd72dd74a9f20b1098c4f71aa5b875964","observation_id":"056416b3-3991-4216-9f8b-3db42d22458a","resolution":{"observed_at":"2026-08-11T13:25:20.994096Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.970591Z","title":null,"venue":null,"work_id":"1b9f163f-24d4-44cc-aa01-037ddc67bc24","year":1997},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.391897Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:db6b3531a950eb33ea76217c0e1fe820a5bfc7cc1bf05ed838f159922900623b","observation_id":"6b619a9e-1326-4f29-9d34-18843788179b","resolution":{"observed_at":"2026-08-11T13:25:20.975427Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.951869Z","title":null,"venue":null,"work_id":"afa02fc8-5076-4708-b5ec-320005f941a3","year":2008},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.397667Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:712775c8a5a4518a5df660c1fd897c64c9692b7eeff93a3cade380bea850686f","observation_id":"08ceaabd-1711-4c9e-ad13-e2b433955274","resolution":{"observed_at":"2026-08-11T13:25:20.958100Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.933965Z","title":null,"venue":null,"work_id":"272646c1-c968-4d9b-90b9-9894e8213feb","year":2023},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.402750Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:de4d7beded07036154067293cb933d05eaddd4d148e07d1bd26ca9be82a6f3c7","observation_id":"be6730cf-deba-4ec2-a7ed-f986c6537d34","resolution":{"observed_at":"2026-08-11T13:25:20.939156Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.916200Z","title":null,"venue":null,"work_id":"96b3b67a-d075-4377-bbf7-4814b6c5c0b1","year":2024},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.409117Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:15e416eacc15cfdd62d260cf7ad2cfc07e8b60c071094a0fee16e52ae6addb30","observation_id":"9154e3b3-b65a-4296-91cb-2bd89f6ba439","resolution":{"observed_at":"2026-08-11T13:25:20.921647Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.898151Z","title":"M.; and Burdick, J","venue":null,"work_id":"83638c3f-2d91-4b1f-bae4-fca5f0c9b1e4","year":2019},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.414470Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:3fe6cee0a3a30d82a6c16da01b586e595f3d69984c07bdeac02f511e130ab8bd","observation_id":"a9c32ae2-d861-4e38-b9db-6fc5d7a70edd","resolution":{"observed_at":"2026-08-11T13:25:20.903489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.877663Z","title":null,"venue":null,"work_id":"8b9e06ea-e4b9-497c-92dd-14bd3f6e7ef1","year":2018},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.420733Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:8f7d2fab39707c34fec8f750fd296362f7d340a47a1205c8edad84f24387d15e","observation_id":"9ee62f12-db77-48c1-a34c-d90cdc215617","resolution":{"observed_at":"2026-08-11T13:25:20.883054Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.860639Z","title":null,"venue":null,"work_id":"31b164d2-1c5e-4d58-858c-4942a24f5d54","year":2021},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.427170Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:f86acc886d799c41b48aea5ac529753d8a7b111408fb8e92522a405a6d15a36b","observation_id":"83498c71-dbc1-4c07-bc1e-dfde36ddb905","resolution":{"observed_at":"2026-08-11T13:25:20.866115Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.844106Z","title":"W.; Peng, Y.; Fu, M","venue":null,"work_id":"47dfb0ff-7d13-4300-ba49-8e988e1daaea","year":2021},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.432809Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:aa1d5b2e069c62bb3cc74bf2e0829bf5af0474350ffb533bf5b67971750345ff","observation_id":"65db79fa-e40a-40c4-b33a-3d70b4bb182b","resolution":{"observed_at":"2026-08-11T13:25:20.849351Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.828086Z","title":"J.; and Liu, G","venue":null,"work_id":"2dc3d7fb-f101-4f64-84a0-ab753480f813","year":2009},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.438265Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:4ff8d0f99ddedea62379b497b2d7922ace71c0ae5cfc2d013f665b1738e08200","observation_id":"986ccb99-f65e-4d81-a2ee-1361b51f46ea","resolution":{"observed_at":"2026-08-11T13:25:20.833118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.810603Z","title":null,"venue":null,"work_id":"33c39230-0e82-47ad-9876-d99a0f9121a6","year":2015},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.443257Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:26b79a9165e291759ef9fe8e235f1726818eb6f895fc606b0e8551d468a8f7fc","observation_id":"67164917-5b33-4f7a-9ff1-cb0dfaaa90dd","resolution":{"observed_at":"2026-08-11T13:25:20.816360Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.793175Z","title":null,"venue":null,"work_id":"e7048299-9c04-4811-b0d7-dca13cb5db4b","year":2022},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.448044Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:e8c6c6cc45c655c64f9dd7a788bce255b607ead22b73b124f2b40bbe6c336543","observation_id":"dd1c7139-8832-44d3-85d0-f0ca4bebe2fd","resolution":{"observed_at":"2026-08-11T13:25:20.798301Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.776725Z","title":null,"venue":null,"work_id":"6b0d1317-9348-4244-aa80-9b45cb3bc15b","year":2022},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.452706Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:ebe3b9c810dea12b81aa0fa9feeadd66555b1f32dab34b62382856e01dbf923c","observation_id":"3d5be9a9-1e12-4fe1-a543-32d7c6d859ee","resolution":{"observed_at":"2026-08-11T13:25:20.781834Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.06480","last_updated":"2018-02-19T01:25:26Z","snapshot_observed_at":"2026-08-14T19:44:43.864745Z","submitted_at":"2018-02-19T01:25:26Z","title":"Accelerated Primal-Dual Policy Optimization for Safe Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.06480","snapshot_observed_at":"2026-08-11T13:25:20.457721Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.457721Z"},"links":{"cited_paper":"/paper/1802.06480","citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:798e1a849932dfb0d525fb41a7b75f8c1c336f1d6981ec87833c3fa4d9268f34","observation_id":"7c2c0def-25b7-438f-bb8c-16f8304b8d18","resolution":{"observed_at":"2026-08-11T13:25:20.457721Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.759976Z","title":null,"venue":null,"work_id":"d83d2947-cedc-4515-93ea-d18f18b9b692","year":2020},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.462811Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:0acea4de7804e56b24fafe39b935e1898b4c899dc1df7b5dfafa969da0c2a8f6","observation_id":"816bbdac-1e56-4722-bd7d-26baf3a2f5ed","resolution":{"observed_at":"2026-08-11T13:25:20.765313Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.742694Z","title":null,"venue":null,"work_id":"f514ef36-7485-4e98-b7d6-17a3afe6b485","year":2021},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.467831Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:ffa11284608c7582a751b2af53a04da00634581e93840f15e0c226194d46ce21","observation_id":"8c0271c6-eb49-4bba-9823-ed30dab70c07","resolution":{"observed_at":"2026-08-11T13:25:20.748369Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.725039Z","title":null,"venue":null,"work_id":"663f1e84-9425-476e-b7a9-fdb83f316c94","year":2019},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.472739Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:d10f808627f715cd322bd65c791a1fae702e17231b21a9d7826d860747a6ac93","observation_id":"f4ee3b1b-6b16-43f5-be71-d299fc07a42d","resolution":{"observed_at":"2026-08-11T13:25:20.730170Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.709547Z","title":"E.; Xie, G.; Zhang, C.; Guan, Y.; Mu, Y.; and Sun, E","venue":null,"work_id":"e7e13511-2a5a-4b99-a058-e0ec2628a956","year":2022},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.477793Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:f8c53fa04a28db0e0b564d356952bbe0a298a14293c7e58e1a8da8fc5ad2fd16","observation_id":"986d1d72-1eac-4dad-85cf-f391f02145be","resolution":{"observed_at":"2026-08-11T13:25:20.714454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.693538Z","title":null,"venue":null,"work_id":"4125b30e-956b-4d8d-88ef-d28b274cdc5d","year":2022},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.482647Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:f437061b7787170b7fb5752d75ac7dc9a69987969fc41fbc23bb6670c3d7b395","observation_id":"a7fd4867-acfc-47b9-a795-bf0c7bdc4596","resolution":{"observed_at":"2026-08-11T13:25:20.698551Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.676226Z","title":null,"venue":null,"work_id":"11e1d42a-3278-479e-a4a7-ad5e9883d2f4","year":2019},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.487802Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:100255050dfdbc5764ab9bc67e07751bd24cd336aef0ba7e4621ceb4f748aafe","observation_id":"934050cb-8b8a-4631-b9f4-01d9a4ccffe1","resolution":{"observed_at":"2026-08-11T13:25:20.681418Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-08-11T13:25:20.493438Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.493438Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:58907d8cbce6f3eb346bc862bf363b5bdc1e4098267de887bfbcf10b1ec03991","observation_id":"a60c3d20-d2f6-4867-82f9-970da985a5bc","resolution":{"observed_at":"2026-08-11T13:25:20.493438Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.658776Z","title":null,"venue":null,"work_id":"7a47714e-839b-408e-87a5-55215f7069b0","year":2011},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.498220Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:0aea3be7881b831c3ce09fcf9fc803586084a5450b8b7439de13dfe0f3bdc56d","observation_id":"ead9c4cf-ad48-455d-b8d5-126eae5dbadb","resolution":{"observed_at":"2026-08-11T13:25:20.663944Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.01500","last_updated":"2019-09-24T06:22:31Z","snapshot_observed_at":"2026-08-14T14:58:02.543459Z","submitted_at":"2019-09-03T23:57:13Z","title":"rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch","version":2},"cited_work":{"arxiv_id":"1909.01500","doi":null,"metadata_source":"pith","pith_arxiv_id":"1909.01500","snapshot_observed_at":"2026-08-11T13:25:20.593899Z","title":"rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch","venue":"cs.LG","work_id":"46215338-1efd-4947-8703-f2bbc783135f","year":2019},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.502923Z"},"links":{"cited_paper":"/paper/1909.01500","citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:bf9f4816f59a6ecf3ab369d7a2afcd0a893943d96113594f181859aaabdfeacc","observation_id":"b0bd5300-83ce-46a4-98d1-076dbd8826fe","resolution":{"observed_at":"2026-08-11T13:25:20.601321Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1805.11074","last_updated":"2018-12-26T11:09:40Z","snapshot_observed_at":"2026-08-14T19:10:15.765536Z","submitted_at":"2018-05-28T17:31:11Z","title":"Reward Constrained Policy Optimization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.11074","snapshot_observed_at":"2026-08-11T13:25:20.509111Z","title":"J.; and Mannor, S","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.509111Z"},"links":{"cited_paper":"/paper/1805.11074","citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:b54dd14681d4607836fd0abc22bdcafe9d5656fb4999f379ed9be32c174c4e9d","observation_id":"b81b101d-1597-4c91-b7f8-4c49d99bf5e4","resolution":{"observed_at":"2026-08-11T13:25:20.509111Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:25:20.514480Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.514480Z"},"links":{"citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:d70d87cf0dcc1526fd9d73482e6091d6baa716e9cd491116c43d3a2818bf6127","observation_id":"e243c4c4-509f-4358-80a6-f824fcaa5c5e","resolution":{"observed_at":"2026-08-11T13:25:20.514480Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.03152","last_updated":"2020-10-07T04:22:45Z","snapshot_observed_at":"2026-08-10T08:43:44.490290Z","submitted_at":"2020-10-07T04:22:45Z","title":"Projection-Based Constrained Policy Optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.03152","snapshot_observed_at":"2026-08-11T13:25:20.519329Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-11T13:25:20.519329Z"},"links":{"cited_paper":"/paper/2010.03152","citing_paper":"/paper/2412.13184"},"observation_digest":"sha256:2ce0b530ad860d30494774c2f294048f395f355054a25f647cd247ce40356c15","observation_id":"0d99bba0-a693-46f3-9ef9-bf4d1c4f5b14","resolution":{"observed_at":"2026-08-11T13:25:20.519329Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.13184","last_updated":"2024-12-17T18:58:00Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T19:09:19.533191Z","submitted_at":"2024-12-17T18:58:00Z","title":"Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":25,"verified_exact":1,"verified_fuzzy":4},"total_outbound_references":30},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2412.13184."}