{"as_of":"2026-08-15T04:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4aac504d6f63c7fc748ddf08641c5262ce1c36883d134821f35ddff685c451cd","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T18:14:14.364400Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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/2501.11616/citation-record","integrity":"/paper/2501.11616/integrity","json":"/paper/2501.11616/citation-record.json","paper":"/paper/2501.11616"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:14:15.126020Z","title":"Advances in Neural Information Processing Systems 31 (2018)","venue":null,"work_id":"6bf12f86-3e96-4a27-879f-177b3b4f3ad1","year":2018},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.181939Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:c033ec0da7dc57e85cfd5ad95b96c30f7dd11d2c211f8b7375b01623dd1db009","observation_id":"afa67a25-2502-4d44-a765-257b4d3931ed","resolution":{"observed_at":"2026-08-10T18:14:15.130360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:15.112768Z","title":"Mathematical Programming 134, 223–257 (2012)","venue":null,"work_id":"30c0cf6c-53bd-4a08-954a-2d2d35cbf7db","year":2012},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.187311Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:b2dd962ce53674cb0ad651b65d90011f11557ef1263ada7e7b911691e32c0e3c","observation_id":"ce3587d7-e08c-48a8-9e3c-119cb980528e","resolution":{"observed_at":"2026-08-10T18:14:15.117185Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:15.098609Z","title":"Constructive approximation 28, 253–263 (2008) ZORO-F A 21","venue":null,"work_id":"2aebfa81-7b15-4670-86d3-3c4cc3fc5e78","year":2008},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.191840Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:3c0183af0022401db20886fad3f922b9b09cce6a3d205bb049a2c3078b3457fb","observation_id":"24a282c6-ac75-42c5-be4d-6a9e6ae80cd5","resolution":{"observed_at":"2026-08-10T18:14:15.103265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:15.084294Z","title":"SIAM Journal on Optimization 30 (2020)","venue":null,"work_id":"0f2a9aa6-0d96-4152-a89f-8ac09ace88f2","year":2020},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.196497Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:1dd853fa8160168bfb1cfc196426dd36dfeb1f06c9594727bbd3f10d84d8d129","observation_id":"25051965-8328-4b8c-96f0-a9ba24bc149e","resolution":{"observed_at":"2026-08-10T18:14:15.088913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:15.070557Z","title":"Journal of Machine Learning Research 1, 281–305 (2012)","venue":null,"work_id":"aad2ff53-a84e-4d6c-9c18-dea353f01c57","year":2012},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.201045Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:a6629860f1b4c57fefa0b12ddc46d95f88aa0f19b8d63eb0cc52ba39db83c0bf","observation_id":"3e059426-31c0-4678-8ad7-37a972c72b07","resolution":{"observed_at":"2026-08-10T18:14:15.075171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:15.056418Z","title":"PMLR, 1193–1203 (2021)","venue":null,"work_id":"8abe4fb8-d41e-410e-b4c2-fce92e615318","year":2021},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.205049Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:2c05c1af4b5bbdcae98b698e4d0e121c7c8bf1993eddd9212caad8af6253be38","observation_id":"9ae5a936-946e-458c-9d63-086b7608ce82","resolution":{"observed_at":"2026-08-10T18:14:15.060792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:15.042497Z","title":"Applied and Computational Harmonic Analysis 60, 242–266 (2022)","venue":null,"work_id":"7d8266a0-4115-4128-9bb9-b65518a1724e","year":2022},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.209432Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:df1e4b7923fc7c9d9a8834766b03ce7e215723e62061695c5f88cf6d75631868","observation_id":"2a1aa155-b366-4e73-a987-cdc8767392bd","resolution":{"observed_at":"2026-08-10T18:14:15.047110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:15.028983Z","title":"SIAM Journal on Optimization 32, 687–714 (2022)","venue":null,"work_id":"13c7b15a-a8b6-4e91-bd0d-137963199ad8","year":2022},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.213203Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:0843d8c9492420eb86c6df18f1a193f8f0b53b4a355bbb5209010e53f666953c","observation_id":"85bb09e0-890e-4008-b1ac-19901bbe8c3f","resolution":{"observed_at":"2026-08-10T18:14:15.033586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:15.015015Z","title":"Mathematical Programming 199, 461–524 (2023)","venue":null,"work_id":"31de2b9e-4ac5-4248-bdb7-1c2d2aa30891","year":2023},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.217024Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:f2c8476158fb4ce7702342a215dde0663f7b4154763c95d3ca72c85a32c8eb18","observation_id":"69bd704c-86fe-4542-9fd3-8bc8775cce6d","resolution":{"observed_at":"2026-08-10T18:14:15.019315Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:15.001031Z","title":"Information and Inference: A Journal of the IMA, 11(1), 167-201","venue":null,"work_id":"4dbdfd2b-35ea-477b-b192-863f60b6f55a","year":null},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.220975Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:c186c9d985b14676e2d292a94c1296f54c40d4a8c10529a444405b607d3792f4","observation_id":"e079fe79-a62e-4644-857a-e98e083e4a91","resolution":{"observed_at":"2026-08-10T18:14:15.005624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:14.987200Z","title":"Mathematical Programming, 198(1), 997-1058","venue":null,"work_id":"ed5378e9-ad6a-4a02-bbba-ca5607ccacd7","year":null},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.224982Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:e0db7f8bc797adad979082cadd9be441a644ad2fe456e951a52f3d549636f04a","observation_id":"2861753a-9db7-49b0-8650-4eab6bb13dd6","resolution":{"observed_at":"2026-08-10T18:14:14.991513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02025","last_updated":"2024-03-15T15:28:11Z","snapshot_observed_at":"2026-08-14T15:03:51.242759Z","submitted_at":"2023-10-03T13:05:36Z","title":"DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02025","snapshot_observed_at":"2026-08-10T18:14:14.229341Z","title":"arXiv preprint arXiv:2310.02025 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.229341Z"},"links":{"cited_paper":"/paper/2310.02025","citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:2dc4971ec2e159ac332f666916c1f8574ed29aa1772e759270425d67aff69306","observation_id":"e5de5e02-559a-4b04-866f-e78b4187990d","resolution":{"observed_at":"2026-08-10T18:14:14.229341Z","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":"2026-08-10T18:14:14.973390Z","title":"Conference on Robot Learning, 683–696 (2020)","venue":null,"work_id":"87170fae-befb-402b-b7d5-099eaedd97ec","year":2020},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.233755Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:0d68f381fe3186fecabe7b4c0527a5817ecc9ba144cea1173fc2fcbd84418b68","observation_id":"e231962e-badb-46cb-9571-67e85a9d548b","resolution":{"observed_at":"2026-08-10T18:14:14.978077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:14.959114Z","title":"Approximation Theory XIII: San Antonio 2010","venue":null,"work_id":"4e38fe9b-4d7f-419f-b940-87f7e7213d89","year":2010},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.238150Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:3461dc78a8a62c5c09ab9242fff07c5371b65d75de3b37e803eb4e70bbb9adc6","observation_id":"36cfcda5-9727-4ec3-9cf2-4c5a37db11ae","resolution":{"observed_at":"2026-08-10T18:14:14.963847Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:14.945220Z","title":"Computational Optimization and Applications 85, 683–703 (2023)","venue":null,"work_id":"4a43e6ab-4d48-445d-bf05-670a17c58af1","year":2023},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.242295Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:37ee55f3282fce7326e3b5cea808d3b83d2622635202937709846db15aa05ceb","observation_id":"895c6ce8-9d4c-4caa-84c9-527f8d8e5b34","resolution":{"observed_at":"2026-08-10T18:14:14.949629Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:14.931606Z","title":"Optimization Letters 18, 195–213 (2024)","venue":null,"work_id":"0ba957f1-2aa0-4b8b-8ca5-83471a328017","year":2024},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.246514Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:920d249521ef2fff028e333f0188245af70c13195994c8bf8105c660138cf6a2","observation_id":"bb2a1dd1-a0f2-4c9f-a9fd-a45cf1d20a80","resolution":{"observed_at":"2026-08-10T18:14:14.935937Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.13391","last_updated":"2023-04-12T04:55:01Z","snapshot_observed_at":"2026-08-13T18:03:57.140688Z","submitted_at":"2021-09-27T23:22:47Z","title":"Curvature-Aware Derivative-Free Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.13391","snapshot_observed_at":"2026-08-10T18:14:14.250571Z","title":"arXiv preprint arXiv:2109.13391 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.250571Z"},"links":{"cited_paper":"/paper/2109.13391","citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:00d8b4f1e425d127d368bd62d57fe416b8e088043755bbcfad5a460d79895df0","observation_id":"c9948751-067a-4767-80eb-5cef4d5b433e","resolution":{"observed_at":"2026-08-10T18:14:14.250571Z","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":"2026-08-10T18:14:14.917526Z","title":"Computational Optimization and Appli- cations 79, 339–368 (2021)","venue":null,"work_id":"dc27d189-7710-4a3e-a860-f8fd25e0aace","year":2021},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.255286Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:a9d856ed01e1c13a5ba47829d5db9585bb925f682ff7fe5abc07223c93a80560","observation_id":"c5e563f5-ae87-4a0f-9952-544d42d24a41","resolution":{"observed_at":"2026-08-10T18:14:14.922341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:14.903869Z","title":"Mathematical Programming, 199(1), 1179-1219 (2023)","venue":null,"work_id":"69653550-b637-4c82-822e-63f11eadfc5e","year":2023},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.259901Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:2c53c567e9f909bec23a4f3eac6658524345d598f38dd6a55cb183aa0519b32d","observation_id":"819943aa-d9a2-4aca-99d3-822aa93b2625","resolution":{"observed_at":"2026-08-10T18:14:14.908441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:14:14.264935Z","title":"arXiv preprint arXiv:2402.15751 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.264935Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:a0c2c95b9b9e3828d0136a9e29d043c894b0386e239256165368a8de7703d96f","observation_id":"257cdde2-f33f-4c89-82fe-9de0ca61ec2e","resolution":{"observed_at":"2026-08-10T18:14:14.264935Z","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":"2026-08-10T18:14:14.889737Z","title":"Advances in Neural Information Processing Systems 36 (2024)","venue":null,"work_id":"5da8e878-01b1-40a9-b499-30abd1ec04c6","year":2024},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.269055Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:a1fbe289668817bb3c7d0c2e1c0038fb77a22fdb3d40d686228684441637509d","observation_id":"7ffdc438-7601-4412-a6cc-0899a7616957","resolution":{"observed_at":"2026-08-10T18:14:14.894301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:14.875234Z","title":"Proceedings of the 32nd International Conference on Neural Information Processing Systems, 1805–1814 (2018)","venue":null,"work_id":"9944883b-68bb-4062-b474-a0026707bad5","year":2018},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.273418Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:ae6ec756c05fc1af99d210105284ffcc79ee3f9e94857f86687186c98a51c22c","observation_id":"a095d650-9115-49b1-829f-a251b9cf5db5","resolution":{"observed_at":"2026-08-10T18:14:14.879759Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:14.860692Z","title":"ACM Transactions on Mathematical Software 7, 17–41 (1981)","venue":null,"work_id":"77b527f2-20c0-4463-ac7c-3d71cc2282eb","year":1981},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.277468Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:dc194e5cf352824a69dd41cbcae79ca54e9a1a5023bfff6e8f36c0840b8da294","observation_id":"8dd0830c-9128-4a8f-9fa6-646b7e43ae4a","resolution":{"observed_at":"2026-08-10T18:14:14.865466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:14.846304Z","title":"SIAM Jour- nal on Optimization 20, 172–191 (2009)","venue":null,"work_id":"ed36e4e4-8e29-4b74-a9a9-f39e57120dbc","year":2009},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.281906Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:f234917606f861863f963cda317c61ea13adede4aabd8410e0ab46e1f916b833","observation_id":"9fcc6d7e-eab6-4e26-8ed4-f22d1dba70a8","resolution":{"observed_at":"2026-08-10T18:14:14.850763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:14.832093Z","title":"Applied Stochastic Models in Business and Industry 33, 314–321 (2017)","venue":null,"work_id":"de81510b-a990-48df-9c05-a005421ef8a5","year":2017},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.286239Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:e2efbdf3f65cbc83365803e2fed81c2df65983932bfe38bd50f139b39ca392d1","observation_id":"3803a49e-743f-47a2-92ef-aa660e0d49e3","resolution":{"observed_at":"2026-08-10T18:14:14.836845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:14.817393Z","title":"Applied and computational harmonic analysis 26, 301–321 (2009)","venue":null,"work_id":"1a249af3-38a4-4004-a477-5156135d8019","year":2009},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.290469Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:540d3a0f8f85723d69ea7488f3d2b644fe9dd9d3c1a0a0af83ad84f616150044","observation_id":"a9a69038-4ab5-4a21-97b7-d300bfbb4ab0","resolution":{"observed_at":"2026-08-10T18:14:14.822232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:14.802855Z","title":"The Computer Journal 7, 308-313 (1965)","venue":null,"work_id":"3098f83d-d62d-4ddd-a06e-06e595fee843","year":1965},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.294776Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:c8aa7772510a7aa863a56f393586418bc41fc817b964bf19dcdd0b89307ffd0c","observation_id":"5aa23d8e-b61c-4b2c-87b9-75444a39cc14","resolution":{"observed_at":"2026-08-10T18:14:14.807986Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:14.788504Z","title":"Foundations of Computational Mathematics 17, 527–566 (2017) 22 Geovani N","venue":null,"work_id":"9f65faf9-2e70-4475-b719-1671158392dd","year":2017},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.299601Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:a8092b71678998a7ab95b2466b2523cda5180246f56f5e5ee4b4639ad67bccaf","observation_id":"6e7f2d78-9b98-43cb-92ef-6f6a695a99db","resolution":{"observed_at":"2026-08-10T18:14:14.792986Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:14.773172Z","title":null,"venue":null,"work_id":"f3b258d7-5e27-4faa-8c18-53778aab7ad4","year":2013},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.303807Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:fdf481505dac7eb10ad89948e62513e2f63db900f824ccc5e7f33999d2eab7fe","observation_id":"709303be-87b2-461b-b670-b4e8355f3b5a","resolution":{"observed_at":"2026-08-10T18:14:14.778535Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:14.758137Z","title":"Large-scale nonlinear optimization, 255–297 (2006)","venue":null,"work_id":"547c034d-5aea-4c86-bff8-97febac4ab87","year":2006},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.308062Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:da86957b3f7553aa48b30a74d4c76e5d3aec60a57981fd3c894903f9ac37b116","observation_id":"0fef3e2b-92d7-4f77-85d1-586fb044541c","resolution":{"observed_at":"2026-08-10T18:14:14.762933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:14.743775Z","title":"SIAM Journal on Optimization 33 (2023)","venue":null,"work_id":"78419f37-55ed-458c-9227-c250d1bafc0a","year":2023},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.312380Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:06c5e3aca172ebabc5678471c320adcd8b1cb2896eb01b35e1588f38990b82d2","observation_id":"c3bfb8e5-6a88-4d13-94c2-3eb60ec06be7","resolution":{"observed_at":"2026-08-10T18:14:14.748616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1703.03864","last_updated":"2017-09-07T23:28:48Z","snapshot_observed_at":"2026-08-14T21:12:24.197125Z","submitted_at":"2017-03-10T23:02:19Z","title":"Evolution Strategies as a Scalable Alternative to Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.03864","snapshot_observed_at":"2026-08-10T18:14:14.316768Z","title":"arXiv preprint arXiv:1703.03864 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.316768Z"},"links":{"cited_paper":"/paper/1703.03864","citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:dfcaac373b754f34d789a8d56e829267fd0ccae000754f52a168014259ff8f74","observation_id":"5fa4e29f-e330-40bd-8e23-4f941e519d77","resolution":{"observed_at":"2026-08-10T18:14:14.316768Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.05824","last_updated":"2023-03-24T01:08:50Z","snapshot_observed_at":"2026-08-13T14:07:54.605863Z","submitted_at":"2022-10-11T23:15:43Z","title":"Adapting Zeroth Order Algorithms for Comparison-Based Optimization","version":2},"cited_work":{"arxiv_id":"2210.05824","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.05824","snapshot_observed_at":"2026-08-10T18:14:14.444201Z","title":"Adapting Zeroth Order Algorithms for Comparison-Based Optimization","venue":"math.OC","work_id":"dbb97f53-adfb-4e0c-a37b-8073eec563aa","year":2022},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.321149Z"},"links":{"cited_paper":"/paper/2210.05824","citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:dad283e92a0dbb721db1bfefcfbd1c2c90c7b8734e5fda20c3335f49b7a18f2a","observation_id":"4432b234-9cf6-48a2-957c-b625a5ce06d0","resolution":{"observed_at":"2026-08-10T18:14:14.452028Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:14.728873Z","title":"Optimization Methods and Soft- ware 38, 289–311 (2023)","venue":null,"work_id":"09bafbb2-84f6-4990-bdbb-8c3cdfe6a461","year":2023},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.325726Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:cdf802b6b34e75b51abf2d80791d944a6265db1ea53fcb38b766dfbf0357bbb3","observation_id":"e572884d-4242-48af-a2df-5c3dff3b846b","resolution":{"observed_at":"2026-08-10T18:14:14.733807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:14.713990Z","title":null,"venue":null,"work_id":"cff1ff67-7df1-4523-90a4-d12f4cd259c3","year":2022},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.329928Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:2d41bf1366f9f93e62e262f34aa1a2affc9ac6cb887640c09a97a7d8400f2317","observation_id":"c11176e4-455b-4265-87e7-523e59b18895","resolution":{"observed_at":"2026-08-10T18:14:14.718209Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:14.699710Z","title":"Journal of Artificial Intelligence Research, 55, 361-387","venue":null,"work_id":"698cd71d-25fe-4b5d-b9f7-ba4b8b6690e1","year":null},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.334442Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:7b29170a60e67bcb5337e7dd05f22af35940bb61cc876337155aef2ecbf5a3ff","observation_id":"64e44437-e2cd-4ad7-b520-096046f7a90a","resolution":{"observed_at":"2026-08-10T18:14:14.704330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:14.684429Z","title":"PMLR, 1356–1365 (2018)","venue":null,"work_id":"c6b49ee0-9010-4c52-9f80-2dc679ac2106","year":2018},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.338671Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:99b6b65d6d62241b78eac37f881092abfe0bcc9e2f89630c24745582a500bf86","observation_id":"07e999bf-a6c6-482c-a7fb-f09f9675b30d","resolution":{"observed_at":"2026-08-10T18:14:14.689449Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-10T18:14:14.669481Z","title":"In The Thirty Sixth Annual Conference on Learning Theory","venue":null,"work_id":"295e3425-cd8f-4552-9a9c-40c0b44990a3","year":2023},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.342949Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:8fc8e6320acee7cbbd993765a740e1533255b9cbff4df8bedb99d517b6805dc9","observation_id":"b6da7539-b743-4632-bd6d-e2834e758ea2","resolution":{"observed_at":"2026-08-10T18:14:14.674050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:14:14.347048Z","title":"Available at http://www.libprima.net,DOI:10.5281/zenodo.8052654 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.347048Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:05279b04ca7b832e74cbd447558af10db6d9cf7b1b255f5055e37bc7d6f712b6","observation_id":"7f7eb6c8-3615-4901-ad6a-26fef140f717","resolution":{"observed_at":"2026-08-10T18:14:14.347048Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.11592","last_updated":"2024-05-28T03:27:06Z","snapshot_observed_at":"2026-08-13T04:16:02.806147Z","submitted_at":"2024-02-18T14:08:48Z","title":"Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.11592","snapshot_observed_at":"2026-08-10T18:14:14.356724Z","title":"arXiv preprint arXiv:2402.11592 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.356724Z"},"links":{"cited_paper":"/paper/2402.11592","citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:1aca56586696110810f5ad01a13d9723c9bb2ba39769c2190c7098effe876d6c","observation_id":"587dd179-8177-4fef-b1fa-63cf172da2b5","resolution":{"observed_at":"2026-08-10T18:14:14.356724Z","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":"2026-08-10T18:14:14.655004Z","title":null,"venue":null,"work_id":"2692f604-0015-4c27-9c9c-f45bf4f23850","year":2024},"citing_paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T18:14:14.364400Z"},"links":{"citing_paper":"/paper/2501.11616"},"observation_digest":"sha256:f1f9938750f19d24e21113e0cec7407ce4dfa5f0caa5046571fa9d4a5ad63f25","observation_id":"885fdb4c-849c-46ed-a0c1-7432358f43e6","resolution":{"observed_at":"2026-08-10T18:14:14.659894Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.11616","last_updated":"2025-07-14T21:39:17Z","latest_version":3,"primary_category":"math.OC","snapshot_observed_at":"2026-08-14T15:04:19.170971Z","submitted_at":"2025-01-20T17:27:03Z","title":"Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":31},"total_outbound_references":41},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2501.11616."}