{"as_of":"2026-08-19T13:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2d530b1738608571f9efd7a016ed43d94dba7797933f8b934784561038c4c40e","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T15:26:47.642025Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2607.29419/citation-record","integrity":"/paper/2607.29419/integrity","json":"/paper/2607.29419/citation-record.json","paper":"/paper/2607.29419"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T15:26:48.120535Z","title":"Advances in neural in- formation processing systems29(2016)","venue":null,"work_id":"9f7b4d9d-2878-4288-9a24-b206676279c0","year":2016},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.494417Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:dc313549413b100b4ae4cb94c6fe5ab877a7dc1e739996e07f0b7c9f7b230e05","observation_id":"92070f9e-07d2-4a98-b0b3-f21da02ebed6","resolution":{"observed_at":"2026-08-15T15:26:48.126035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1606.01540","last_updated":"2016-06-05T17:54:48Z","snapshot_observed_at":"2026-08-13T12:26:05.192883Z","submitted_at":"2016-06-05T17:54:48Z","title":"OpenAI Gym","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.01540","snapshot_observed_at":"2026-08-15T15:26:47.500405Z","title":"arXiv preprint arXiv:1606.01540 (2016)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.500405Z"},"links":{"cited_paper":"/paper/1606.01540","citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:cf01345e79e0af00c8cb800f6b2b4ee88f0716fd57e63a03c5852a8d9c8be9d3","observation_id":"f26f0910-071a-4554-8fb5-d719046372bd","resolution":{"observed_at":"2026-08-15T15:26:47.500405Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.12894","last_updated":"2018-10-30T17:44:42Z","snapshot_observed_at":"2026-08-14T18:06:54.993797Z","submitted_at":"2018-10-30T17:44:42Z","title":"Exploration by Random Network Distillation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.12894","snapshot_observed_at":"2026-08-15T15:26:47.505643Z","title":"arXiv preprint arXiv:1810.12894 (2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.505643Z"},"links":{"cited_paper":"/paper/1810.12894","citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:b7b854d0d00f7f9a1d0d9c953ca044ee48e9dabe5f2705b90c6f709c16f3279b","observation_id":"cd2a8863-22ea-4d22-abd6-360d0d5edd68","resolution":{"observed_at":"2026-08-15T15:26:47.505643Z","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":"2026-08-15T15:26:48.104893Z","title":"Au- tonomous Robots42(2), 235–256 (2018)","venue":null,"work_id":"71e1b318-ab8d-49be-92f5-98694a9992c5","year":2018},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.510240Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:3fb65b5371bf952b1d0fe47c8a3a6c5c374300658d6954f30219ad45c5f1ad69","observation_id":"2b2a6709-e685-4509-813b-1ccb808fbf1f","resolution":{"observed_at":"2026-08-15T15:26:48.109544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T15:26:48.089891Z","title":null,"venue":null,"work_id":"b9783998-302e-442e-b8d7-a929a52e97db","year":2022},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.515176Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:076fd7e99532866d16545f44e4eea12943811de8e7d34d9d656056efbb56040b","observation_id":"51b03013-eada-479d-bf8c-01258f572d1e","resolution":{"observed_at":"2026-08-15T15:26:48.094424Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T15:26:48.074397Z","title":"Machine learning8(3), 279–292 (1992)","venue":null,"work_id":"a37a7102-56d2-4b97-a752-b501857c7120","year":1992},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.519659Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:49bf571b5901aa5046a7621751eca89a7213c0e13e077dc29ef92999b5ca183d","observation_id":"85454b2a-097a-4d8a-a07d-c60ce4bb06f2","resolution":{"observed_at":"2026-08-15T15:26:48.079828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T15:26:48.059759Z","title":"In: International conference on machine learning","venue":null,"work_id":"3e3901ff-b084-408a-860b-d58a30ecdfda","year":2018},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.524648Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:0185b290f5cc3b8e19dc43f76b0cb2dbd303c6c4650d59eab8a85196700dd722","observation_id":"97d79e0e-a9f6-4560-b249-2ebf32cdf504","resolution":{"observed_at":"2026-08-15T15:26:48.064272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T15:26:48.045315Z","title":"In: International Conference on Machine Learning","venue":null,"work_id":"010a745a-1ea8-426b-b462-a3ad286593fe","year":2023},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.529163Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:06d9eac6539f61b1208505afc6ca05361ecec6d3dd6dbb175eddee8279bca01a","observation_id":"843efb16-f9be-4756-aa45-4b252e7d1bb5","resolution":{"observed_at":"2026-08-15T15:26:48.049888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T15:26:47.533619Z","title":"In: International conference on machine learning","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.533619Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:49af52226c0ac19e1473f50417e7d35354ff5b3eddabbf193b8c4409e78d5c6d","observation_id":"76517cf2-baac-42ca-883b-fc522e754dbc","resolution":{"observed_at":"2026-08-15T15:26:47.533619Z","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":"2026-08-15T15:26:48.021462Z","title":"PMLR (2022)","venue":null,"work_id":"d1b5cbe2-a212-472b-9c89-e95dbb6c1847","year":2022},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.537683Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:b14dee2635c95f9a12dd2dd10d880cd51a4a6aae05ff095e34e58889e41014aa","observation_id":"45e7c567-32c4-40bc-9f95-71165cc31d93","resolution":{"observed_at":"2026-08-15T15:26:48.025848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T15:26:48.006959Z","title":"Ad- vances in Neural Information Processing Systems34, 25732–25745 (2021)","venue":null,"work_id":"c9df21ae-d322-445b-96fd-21d360e6c481","year":2021},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.542020Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:bb22138b45aec7d390e1ed17d87f8075ae1871b9d686657799d1afd52b502b42","observation_id":"d81b25e6-86d8-4650-85df-07cc29a39174","resolution":{"observed_at":"2026-08-15T15:26:48.011541Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.04955","last_updated":"2022-07-19T18:14:36Z","snapshot_observed_at":"2026-08-16T17:15:47.150759Z","submitted_at":"2022-03-09T18:58:28Z","title":"Temporal Difference Learning for Model Predictive Control","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.04955","snapshot_observed_at":"2026-08-15T15:26:47.546867Z","title":"arXiv preprint arXiv:2203.04955 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.546867Z"},"links":{"cited_paper":"/paper/2203.04955","citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:98b9c29905e4b614224e32ee6f885e7c15533d14335635984dd06b3678d955c3","observation_id":"b0bc4bc3-7599-4b6f-ae97-72c433189e4c","resolution":{"observed_at":"2026-08-15T15:26:47.546867Z","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":"2026-08-15T15:26:47.991885Z","title":"Advances in neural information processing systems31(2018)","venue":null,"work_id":"4f258098-09b4-4c87-b43a-2c02fd89d700","year":2018},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.551632Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:dedd82a77377e5cead03c5131d6d6190df10dc5ec0c4789008e5da5f87095acb","observation_id":"f468f125-80c0-4f5e-a416-681f6cc2a98b","resolution":{"observed_at":"2026-08-15T15:26:47.996533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T15:26:47.977596Z","title":"In: 2019 international conference on robotics and automation (ICRA)","venue":null,"work_id":"49892e6c-74ca-430b-8da2-ee02db84e170","year":2019},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.556886Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:bb7f6ff362f3e4539fd43e4b2a5b8c2e5cbb1c93e80335ed0b86e157821e64cf","observation_id":"215c485d-4a45-4694-8e8f-7afe8e167c63","resolution":{"observed_at":"2026-08-15T15:26:47.982258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T15:26:47.961266Z","title":"In: 2009 ieee conference on computer vision and pattern recognition","venue":null,"work_id":"2c22d7d0-b55c-430d-b493-6f37857da180","year":2009},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.561280Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:1b707c3f2f8d6276b7f34d37177b852ef6877feebfd604e0e29c55e1f6e30458","observation_id":"c78cd28f-3744-4e41-8baf-9922a37831b4","resolution":{"observed_at":"2026-08-15T15:26:47.966547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T15:26:47.945497Z","title":"Artificial Intelligence316, 103829 (2023) 12 B","venue":null,"work_id":"c8516fd2-a30f-4012-83f3-534fc36bb595","year":2023},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.565664Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:a7643bf1989a40bfcaddb616988e3cccd9b5c8a5295ba47e1990d94ee9828f1a","observation_id":"ba9b863d-74d2-4642-bfe2-3e655bbd2d48","resolution":{"observed_at":"2026-08-15T15:26:47.949981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T15:26:47.931155Z","title":"In: Proceed- ings of the 26th annual international conference on machine learning","venue":null,"work_id":"2b76eb2b-4092-447b-be07-0799562fa037","year":2009},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.570258Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:8758af58fd878ef9f7bdf98f5192d13352219e2419504aecd42a600b5fa2a983","observation_id":"8e38cbb1-f7fb-4de1-974b-b073a5f83fa1","resolution":{"observed_at":"2026-08-15T15:26:47.935632Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T15:26:47.915986Z","title":"IEEE/CAA Journal of Automatica Sinica3(3), 247–254 (2016)","venue":null,"work_id":"48cc8a03-4551-4e5d-8b55-2d1f3849bc1d","year":2016},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.574488Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:5ff2920a3bf65f3480911f459795a7db68a452d6838e093895cf996dd29402c2","observation_id":"65dcbaf1-d290-423f-9c61-e56995e52495","resolution":{"observed_at":"2026-08-15T15:26:47.920951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T15:26:47.901263Z","title":"In: Distributed Ar- tificial Intelligence: Second International Conference, DAI 2020, Nanjing, China, October 24–27, 2020, Proceedings 2","venue":null,"work_id":"399cc95a-e6e1-48bc-a8a9-4682a70cc556","year":2020},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.579087Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:4f6a2a14edcdeed22dfa9814d0b1ace483cb7b40e1134a03c1a6388f8303c8cf","observation_id":"7b56c4ae-378a-4117-b69a-94a9ea5ab9f2","resolution":{"observed_at":"2026-08-15T15:26:47.906000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1509.02971","last_updated":"2019-07-05T10:47:27Z","snapshot_observed_at":"2026-08-16T22:06:26.835611Z","submitted_at":"2015-09-09T23:01:36Z","title":"Continuous control with deep reinforcement learning","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1509.02971","snapshot_observed_at":"2026-08-15T15:26:47.583330Z","title":"arXiv preprint arXiv:1509.02971 (2015)","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.583330Z"},"links":{"cited_paper":"/paper/1509.02971","citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:4be3377cf085cd5ad8f5064dcbb362766afe6dc26d93b22a163eea7bc5fb2d82","observation_id":"1d09d7f4-e247-496a-863c-6277bc9d43d0","resolution":{"observed_at":"2026-08-15T15:26:47.583330Z","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":"2026-08-15T15:26:47.886617Z","title":"In: Conference on Robot Learning","venue":null,"work_id":"e5f885d1-a4b7-4c85-8e47-48902d700d25","year":2020},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.588377Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:42f81483102a6c557e40faf6e555dedd8743115bdae3fc6880b325c36cf3e192","observation_id":"7accaa87-5d13-422b-814f-2db824f56dd2","resolution":{"observed_at":"2026-08-15T15:26:47.891327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.5602","last_updated":"2013-12-19T16:00:08Z","snapshot_observed_at":"2026-08-17T17:19:33.060917Z","submitted_at":"2013-12-19T16:00:08Z","title":"Playing Atari with Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.5602","snapshot_observed_at":"2026-08-15T15:26:47.593223Z","title":"arXiv preprint arXiv:1312.5602 (2013)","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.593223Z"},"links":{"cited_paper":"/paper/1312.5602","citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:ec1410d3f372246081542984341b1be7715a819d637124412fe09ed7d9c34ab5","observation_id":"4ffabef0-7059-496c-88d4-c7bf5fb7ed37","resolution":{"observed_at":"2026-08-15T15:26:47.593223Z","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":"2026-08-15T15:26:47.598264Z","title":"Advances in neural information processing sys- tems35, 27730–27744 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.598264Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:3f59ffedf17ee99927454a62fdca1460c64b59a694c73248579187bce0ad95a1","observation_id":"2e37a9d6-6220-4ffa-a4d8-2955cd58a0a8","resolution":{"observed_at":"2026-08-15T15:26:47.598264Z","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":"2026-08-15T15:26:47.603139Z","title":"In: International conference on machine learning","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.603139Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:1e0667e5e9ce4695182b0b40fc2a643fee8e41fae9f7d4732c8a3affcde46c6a","observation_id":"78e81c03-1806-4dc2-965b-6678bebf4ca7","resolution":{"observed_at":"2026-08-15T15:26:47.603139Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.12292","last_updated":"2020-02-29T16:12:58Z","snapshot_observed_at":"2026-08-10T22:27:45.925100Z","submitted_at":"2020-02-27T18:03:16Z","title":"RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.12292","snapshot_observed_at":"2026-08-15T15:26:47.608049Z","title":"arXiv preprint arXiv:2002.12292 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.608049Z"},"links":{"cited_paper":"/paper/2002.12292","citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:28fd3ef886563cb91498739edfa71df0c39f2af0eadd4c4fd35886ccf25d1125","observation_id":"d16aa1c0-83ea-43ba-a7f5-a9a5a31b01e4","resolution":{"observed_at":"2026-08-15T15:26:47.608049Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1707.05246","last_updated":"2017-07-17T15:53:18Z","snapshot_observed_at":"2026-08-14T20:47:09.746856Z","submitted_at":"2017-07-17T15:53:18Z","title":"Learning to select data for transfer learning with Bayesian Optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.05246","snapshot_observed_at":"2026-08-15T15:26:47.613192Z","title":"arXiv preprint arXiv:1707.05246 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.613192Z"},"links":{"cited_paper":"/paper/1707.05246","citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:f67315a65ceb0581d8b83e9529d5246e5ef97541ddec253907a08106fa19c066","observation_id":"6f9fe137-f0ef-4928-b6d3-d60029415238","resolution":{"observed_at":"2026-08-15T15:26:47.613192Z","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":"2026-08-15T15:26:47.852887Z","title":"In: International Conference on Machine Learning","venue":null,"work_id":"31f4dd5e-07cd-4230-8e31-bb7ef164a5be","year":2021},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.618295Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:62284d2947e60c80162d20717a0ae89b6e721f5e89e75ef720c00a77edebbca0","observation_id":"8699f010-202a-4695-8aec-6036b5a893fb","resolution":{"observed_at":"2026-08-15T15:26:47.857657Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T15:26:47.837502Z","title":"Advances in neural information processing systems 30(2017)","venue":null,"work_id":"7e347a13-ee31-41f7-9192-5dd92641e578","year":2017},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.623190Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:3b761af63e0e6910c5a72eb820f22ddd083789cccf54a3ff2e95ca1d38d91548","observation_id":"ad80167e-cf3b-46a6-81f6-4e5442052a82","resolution":{"observed_at":"2026-08-15T15:26:47.842461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T15:26:47.628237Z","title":"In: 2012 IEEE/RSJ international conference on intelligent robots and systems","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.628237Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:ed0ea8a844f6a8d68486ecea9d9f018f47f7a07d8fcf0e91bb7232157c3c5984","observation_id":"b1376cc3-1d21-4cf1-af43-cac31948d936","resolution":{"observed_at":"2026-08-15T15:26:47.628237Z","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":"2026-08-15T15:26:47.812973Z","title":"In: Proceedings of the AAAI conference on artificial intelligence","venue":null,"work_id":"f8bfda8d-d802-4eea-a68d-b3f863f5eb2a","year":2016},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.633034Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:e8a742cf63b3c89d2a5c7f82fb35ddbb7f4034884e8d310d883fcc487875e576","observation_id":"101761ad-f12f-4ab0-8a95-6acaec3bec89","resolution":{"observed_at":"2026-08-15T15:26:47.817816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.08621","last_updated":"2020-12-15T21:26:54Z","snapshot_observed_at":"2026-08-16T18:58:13.787924Z","submitted_at":"2020-12-15T21:26:54Z","title":"BeBold: Exploration Beyond the Boundary of Explored Regions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.08621","snapshot_observed_at":"2026-08-15T15:26:47.637478Z","title":"arXiv preprint arXiv:2012.08621 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.637478Z"},"links":{"cited_paper":"/paper/2012.08621","citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:f7718b644ec1486e63ea1cf50eb5790d6ed6d8a26a4d430361860f9065cee018","observation_id":"04394cec-c92d-4064-ac4b-0cea4c16a012","resolution":{"observed_at":"2026-08-15T15:26:47.637478Z","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":"2026-08-15T15:26:47.796706Z","title":"Advances in Neural Information Processing Systems34, 25217–25230 (2021)","venue":null,"work_id":"bdbd3f23-c6ce-43e2-b1c2-e7db40aa6bd5","year":2021},"citing_paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T15:26:47.642025Z"},"links":{"citing_paper":"/paper/2607.29419"},"observation_digest":"sha256:2dd49fc199fa9f7867874770d3312a3444473912338a17f27d37472145b210ca","observation_id":"aa2cb087-eb0d-4de3-9492-1a3ac0b4524d","resolution":{"observed_at":"2026-08-15T15:26:47.802933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.29419","last_updated":"2026-07-31T13:41:51Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-19T06:44:47.244048Z","submitted_at":"2026-07-31T13:41:51Z","title":"Explore Beyond the Boundary Using Entropic Information"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":0,"verified_fuzzy":19},"total_outbound_references":32},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.29419."}