{"as_of":"2026-08-19T10:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c3fa8894703322b7a3ad9e7c528fca19bea2f00ae41214c1cf6203fabbd6008f","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T04:58:53.049406Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"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/2504.21731/citation-record","integrity":"/paper/2504.21731/integrity","json":"/paper/2504.21731/citation-record.json","paper":"/paper/2504.21731"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2003.12406","last_updated":"2020-03-27T13:17:45Z","snapshot_observed_at":"2026-08-17T00:20:07.032706Z","submitted_at":"2020-03-27T13:17:45Z","title":"Learning Implicit Surface Light Fields","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.12406","snapshot_observed_at":"2026-08-16T04:58:52.185700Z","title":"Azuma and C","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.185700Z"},"links":{"cited_paper":"/paper/2003.12406","citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:584f304910467feebf7b5e6e953525a79e4ad3320606886316063417597163d3","observation_id":"90cdcb2d-4e78-4a9a-9bb1-d270e24a946d","resolution":{"observed_at":"2026-08-16T04:58:52.185700Z","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":"2026-08-16T04:58:54.981100Z","title":null,"venue":null,"work_id":"ebc46964-b970-48db-955c-8567b0301102","year":2019},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.242621Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:e14e57f6bb6f7756dc1b6ae4d6a870add2dcd365be60a7460148e77589330e42","observation_id":"08aca5fb-4213-4791-8b77-34bcc732957f","resolution":{"observed_at":"2026-08-16T04:58:54.985431Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:58:52.245932Z","title":null,"venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.245932Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:6c4ca1df6735e685bd98f880a1f43f53df408f75cb4784f8ac50188559d2d102","observation_id":"f840dc58-ed01-4d76-936a-9c84df666a34","resolution":{"observed_at":"2026-08-16T04:58:52.245932Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.06680","last_updated":"2019-12-13T19:56:40Z","snapshot_observed_at":"2026-08-13T14:13:07.807518Z","submitted_at":"2019-12-13T19:56:40Z","title":"Dota 2 with Large Scale Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.06680","snapshot_observed_at":"2026-08-16T04:58:52.250480Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.250480Z"},"links":{"cited_paper":"/paper/1912.06680","citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:40f01c68745f20b2a5e9fce13d069de2e25f5d50939a180131ce70885050e52a","observation_id":"a3f14fe8-b489-4383-a475-8a3990358757","resolution":{"observed_at":"2026-08-16T04:58:52.250480Z","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":"2026-08-16T04:58:52.255891Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.255891Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:178094eb1dc33ab272bbeb16bbef42a970ac02b6ae8902430f5379bf7c29f40c","observation_id":"22a322da-d0f7-46fe-8300-d27647c8bc95","resolution":{"observed_at":"2026-08-16T04:58:52.255891Z","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":"10.1145/3592459","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:58:53.099345Z","title":null,"venue":null,"work_id":"d2b05d7a-1e94-48f1-8fea-783f4e7b4e4b","year":2023},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.361392Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:f7564b2d0bd2cf5a64215d0a770d7a546c7f64d1ed25972cd1602c3b15b69165","observation_id":"80977b52-226a-4cb2-ad40-1faf79ddd703","resolution":{"observed_at":"2026-08-16T04:58:53.102606Z","resolver_source":"doi","status":"verified_exact"},"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":"2026-08-16T04:58:52.366941Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.366941Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:46c39e4879b3d0651ca351014352d5aa120a0345cf3c503c0cd6d4282cb91656","observation_id":"980ff572-672b-44d5-b9f9-7a151eb3e07e","resolution":{"observed_at":"2026-08-16T04:58:52.366941Z","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":"2026-08-16T04:58:52.372366Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.372366Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:880e13b5ddfca7e567624e11e6f768f83e47b7384fad90f4d21620ec0b28e929","observation_id":"a1a68670-00af-433b-a74a-4f3b91db612a","resolution":{"observed_at":"2026-08-16T04:58:52.372366Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-16T04:58:52.382923Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.382923Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:eb3ce6b9e3ae3526318a41b763c892c4da04fbcc82a393a924dc5ef932ea12d9","observation_id":"3491263a-5dd7-4a0e-9804-50b0b9d457aa","resolution":{"observed_at":"2026-08-16T04:58:52.382923Z","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":"2026-08-16T04:58:52.386473Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.386473Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:2acf5f8dcd38b73813a055ff00d90cda9bd8a61c979a93ad3dff5a160b9fda5e","observation_id":"a2ff2e39-0b79-4734-94d4-420bd1edef94","resolution":{"observed_at":"2026-08-16T04:58:52.386473Z","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":"2026-08-16T04:58:52.391655Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.391655Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:8ef9164c8779151b3535f2b4f45b0f907c1f79667548c616eecb8028e03624b8","observation_id":"de04bab6-f69b-4ecb-98de-5f615de68379","resolution":{"observed_at":"2026-08-16T04:58:52.391655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.05992","last_updated":"2022-06-07T01:42:05Z","snapshot_observed_at":"2026-08-16T17:42:37.417626Z","submitted_at":"2021-11-10T23:45:08Z","title":"On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.05992","snapshot_observed_at":"2026-08-16T04:58:52.396187Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.396187Z"},"links":{"cited_paper":"/paper/2111.05992","citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:14f40b9f2ab8cead9436f70f66d217302a3f23db9f4372b47a2176aa1d9152aa","observation_id":"3d85bead-be2e-47a6-b361-5ea76a5e2dc6","resolution":{"observed_at":"2026-08-16T04:58:52.396187Z","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":"2026-08-16T04:58:52.401132Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.401132Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:4310f82e8ed6153e049a23a2d7a2e2c308af312420c402756011dc4f37097fb6","observation_id":"d82affd5-3f46-4a8d-8c6b-22b8d2ac6400","resolution":{"observed_at":"2026-08-16T04:58:52.401132Z","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":"8940.27889","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:58:54.415737Z","title":null,"venue":null,"work_id":"bda29a93-4df7-40fa-bdab-e0b01e3fd60e","year":2015},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.408626Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:4fc3dd7e6672258e6733bd75acdf7d98654357234e4f577aa6624e67f491bdfd","observation_id":"df084c96-993b-41b5-bf7d-d6ab3935ffb7","resolution":{"observed_at":"2026-08-16T04:58:54.421878Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"2026-08-16T04:58:52.484853Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.484853Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:f083101548e71b75de7aa7216a9ae96b889c3f42bf1930dc06d57fc9d9bb21b8","observation_id":"34b1721a-7cf5-4ae7-b4ec-fd93a83f4ff8","resolution":{"observed_at":"2026-08-16T04:58:52.484853Z","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":"2018.84417","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:58:54.116627Z","title":"Fayjie, Sabir Hossain, Doukhi Oualid, and Deok-Jin Lee","venue":null,"work_id":"622b0124-1eb8-4f81-84d2-b35375257374","year":2018},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.597076Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:585ad96684347fa624a7b78d30c5710c93d303efd6b6fdc11cf42b475232ee6f","observation_id":"02eb8198-0ca5-40ca-b8be-e638a8647e09","resolution":{"observed_at":"2026-08-16T04:58:54.218456Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"2026-08-16T04:58:52.600912Z","title":null,"venue":null,"work_id":null,"year":1954},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.600912Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:84001170401b434682a4a18df6bcd19e353c30ff55a4429ec02e34603e0a84b1","observation_id":"59d36e65-21cc-4fec-a43a-4a30ac2c5deb","resolution":{"observed_at":"2026-08-16T04:58:52.600912Z","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":"2026-08-16T04:58:52.610023Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.610023Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:0d10554d68a3bad3b32510050b16de55d41c8cbf142fe083c6468ddf5b67d284","observation_id":"5228304b-63ba-43e8-84b3-8576277f2d8a","resolution":{"observed_at":"2026-08-16T04:58:52.610023Z","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":"2026-08-16T04:58:52.613879Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.613879Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:f2d4a0a169e67fcd84caa2bf73951f38a48ffe9bb39ea662e04505204d80307b","observation_id":"6dee9d10-fa10-484a-b55f-86decdcbc659","resolution":{"observed_at":"2026-08-16T04:58:52.613879Z","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":"2026-08-16T04:58:54.951775Z","title":null,"venue":null,"work_id":"38d6a7eb-d5d5-4c22-84ce-b2e6acd5ed6b","year":2023},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.617826Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:ac51dfd5ccba6438bd9fe47f1559200c7b8e53eae7d99930aef9b19690da024b","observation_id":"59903316-7423-42c3-bf11-39240bdb11e3","resolution":{"observed_at":"2026-08-16T04:58:54.954798Z","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":"2026-08-16T04:58:54.940968Z","title":null,"venue":null,"work_id":"90614bc6-986a-4460-8d43-eb87abe339f3","year":1952},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.621627Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:fc4b5d3d45580d8c2a93daad4e6744b00afd9061f55397180da114fc7e8a083f","observation_id":"25265dd5-c888-42fe-b9a2-b83735cc92a7","resolution":{"observed_at":"2026-08-16T04:58:54.944463Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:58:52.625260Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.625260Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:7b564f9ea4f151832bed049587dd9b86cb84a6ebd86a2db6a96c8af40198ae41","observation_id":"95cdb3c1-57cc-44ed-b26f-a925732bb51e","resolution":{"observed_at":"2026-08-16T04:58:52.625260Z","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":"2026-08-16T04:58:52.628873Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.628873Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:9d6cda83d07fd4a910d2144b37c258f59de23dcdd77439f2ac73003debe0b839","observation_id":"bf2ed0f6-e8de-498e-9fb6-f78def715b1c","resolution":{"observed_at":"2026-08-16T04:58:52.628873Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.02627","last_updated":"2020-05-06T17:59:11Z","snapshot_observed_at":"2026-08-14T18:31:29.260572Z","submitted_at":"2018-09-07T18:13:25Z","title":"Unity: A General Platform for Intelligent Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.02627","snapshot_observed_at":"2026-08-16T04:58:52.633281Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.633281Z"},"links":{"cited_paper":"/paper/1809.02627","citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:1911d8d3b06b71da68588f7ab2f209c9769f589c1be25aca7d07567f1ea2eeb2","observation_id":"63a5a9e2-71fd-4723-b7b6-85a1f1d69c2b","resolution":{"observed_at":"2026-08-16T04:58:52.633281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.00374","last_updated":"2024-04-03T14:26:32Z","snapshot_observed_at":"2026-08-16T18:09:16.622658Z","submitted_at":"2019-03-01T15:40:19Z","title":"Model-Based Reinforcement Learning for Atari","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.00374","snapshot_observed_at":"2026-08-16T04:58:52.637458Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.637458Z"},"links":{"cited_paper":"/paper/1903.00374","citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:c0094bee4d0a988dd200abbc5de58ba9a7caf37621c71399c70e88182f31a9ff","observation_id":"5904ac9d-6391-4603-bee9-c982d9264508","resolution":{"observed_at":"2026-08-16T04:58:52.637458Z","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":"2026-08-16T04:58:52.693008Z","title":"Andrew Bagnell, and Jan Peters","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.693008Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:3b978c0cb842411245ccb5b3a95db9e6156aa8b15d52c1a382da7d5d3d610c9a","observation_id":"7410644c-52bc-4120-8fbe-9398f0048f0e","resolution":{"observed_at":"2026-08-16T04:58:52.693008Z","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":"2026-08-16T04:58:52.835176Z","title":"Eduard Gröller, and Hsiang-Yun Wu","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.835176Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:c49a8ecea01b0c28fa44e8180056384e259ff8e102731221190b0f1058063091","observation_id":"526676b7-958d-44d7-b55a-fb845267480f","resolution":{"observed_at":"2026-08-16T04:58:52.835176Z","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":"10.1145/3558191","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:58:53.072858Z","title":null,"venue":null,"work_id":"55e418ef-ec19-4317-b303-f25564b2561d","year":2022},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.838688Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:aa1e85b0f90ade467907d751579a860f6cd812d745341f89951a6e8da94d8885","observation_id":"eb291dc8-335c-4958-813f-fa5b5bf07f0a","resolution":{"observed_at":"2026-08-16T04:58:53.077783Z","resolver_source":"doi","status":"verified_exact"},"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":"2026-08-16T04:58:52.842424Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.842424Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:37263a391dbcb79deed92501a09bb257775220cb6697d0cfb0a94690ce2cfa44","observation_id":"3aeb9fb2-7574-46a7-a111-31ac5495db35","resolution":{"observed_at":"2026-08-16T04:58:52.842424Z","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":"2026-08-16T04:58:52.845372Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.845372Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:7ecbba83acce1676cefa6957807cc6fb2b1e5e6febce3045019d1fa2b59ac53c","observation_id":"89dc313b-3e05-4928-bbec-b5d64b8d3351","resolution":{"observed_at":"2026-08-16T04:58:52.845372Z","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":"2026-08-16T04:58:52.848921Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.848921Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:2b3aa73e8a43d26449751653b3dd1977be993ea0e06cb46c2b4018354ab0b570","observation_id":"02e4e991-c25c-4a8b-85bb-a48408a981b9","resolution":{"observed_at":"2026-08-16T04:58:52.848921Z","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":"2026-08-16T04:58:54.920573Z","title":null,"venue":null,"work_id":"b7e69f81-2c40-4333-95b3-7e380e17010c","year":null},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.854189Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:94f6945e6dd8678cdd626e4daacf1fcb3b97d861a5ab00bd903bd884eedd1b97","observation_id":"35dc7bf3-c932-4350-b121-0c25a59cfeb7","resolution":{"observed_at":"2026-08-16T04:58:54.924001Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:58:52.863276Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.863276Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:f32b04b781f0c2a016cc6109b126289d6ae75de00667981298713be1abe99474","observation_id":"4877e7e0-d0fa-4356-b6e4-99c54c00fb97","resolution":{"observed_at":"2026-08-16T04:58:52.863276Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.10746","last_updated":"2020-04-22T17:56:07Z","snapshot_observed_at":"2026-08-10T07:39:19.641872Z","submitted_at":"2020-04-22T17:56:07Z","title":"Chip Placement with Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.10746","snapshot_observed_at":"2026-08-16T04:58:52.858769Z","title":"arXiv preprint arXiv:2004.10746 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.858769Z"},"links":{"cited_paper":"/paper/2004.10746","citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:280ca6336b8b83d17a3ffef601226d5cc4936ab6db2d0e33706b7f4b000ba095","observation_id":"10629f08-131a-4f1b-b418-67c6189c43d8","resolution":{"observed_at":"2026-08-16T04:58:52.858769Z","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":"2026-08-16T04:58:52.869736Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.869736Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:7a653d52f4895e36fb31c8f29b31d3bd2aa82083a0f5036e1d8c18c1a3418f75","observation_id":"7b4dcd8a-8453-4235-9e27-e3af5fd284bb","resolution":{"observed_at":"2026-08-16T04:58:52.869736Z","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":"2026-08-16T04:58:52.866396Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.866396Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:08429e9cffc551f6e698ad880cd227873d6dce82aa4ec2d6df35593901090a5e","observation_id":"854dec38-fc84-49cd-869b-f34e6aafe7e3","resolution":{"observed_at":"2026-08-16T04:58:52.866396Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-16T04:58:52.883935Z","title":null,"venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.883935Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:dc9d274349b2e7a08edc35de8c3d3cce15a7e9e36ff45494933e938a2a815113","observation_id":"bef662d3-c7a9-4aa4-ad72-44ffecff302d","resolution":{"observed_at":"2026-08-16T04:58:52.883935Z","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":"2026-08-16T04:58:52.873796Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.873796Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:8d829b19859bb84b0277ee8767704f1fed61c11821026262feb1fa280ba3e4fb","observation_id":"578f9e92-b260-4f5a-aec2-02fbe1fcb935","resolution":{"observed_at":"2026-08-16T04:58:52.873796Z","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":"2014.68020","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:58:53.417895Z","title":null,"venue":null,"work_id":"ad59a809-e18d-4684-8ab0-050b98a8e974","year":2014},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.892418Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:d75018c66019119132b88306c4d32be3a8353833330ed9eba02122344f4b509a","observation_id":"b9f1b4e6-a231-4def-a42f-14ea4f2779dc","resolution":{"observed_at":"2026-08-16T04:58:53.423623Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"2026-08-16T04:58:52.942063Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.942063Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:10e1ff045032837304a6da61437fe92bf78e29aa75c74a81850247c698f7f339","observation_id":"0e2714df-d71d-4f47-b5ef-e94166a523c2","resolution":{"observed_at":"2026-08-16T04:58:52.942063Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.05797","last_updated":"2019-06-13T16:29:58Z","snapshot_observed_at":"2026-08-16T20:27:41.336890Z","submitted_at":"2019-06-13T16:29:58Z","title":"The Replica Dataset: A Digital Replica of Indoor Spaces","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.05797","snapshot_observed_at":"2026-08-16T04:58:52.888623Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.888623Z"},"links":{"cited_paper":"/paper/1906.05797","citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:3c2441bdbe90cfae5d902abbe23ac505211f62f80b856fd93cfbd47a63fd26c8","observation_id":"26c3d27c-8a6c-49b5-acc2-80129d19012c","resolution":{"observed_at":"2026-08-16T04:58:52.888623Z","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":"2026-08-16T04:58:53.037360Z","title":"Wilson, and Hrvoje Benko","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:53.037360Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:f26de081cf34239f8f613144bc6a013df6aa05059014372a740cdfffd8b6cf1d","observation_id":"8d42fb49-4ec8-4e5e-b7e5-54efdaf0a47c","resolution":{"observed_at":"2026-08-16T04:58:53.037360Z","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":"2026-08-16T04:58:53.045496Z","title":"Jonker, and Aakar Gupta","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:53.045496Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:4dc240cc0c3ddc6a70aec2985a9616296c88efa09359e133e4b77b2a135c8eb5","observation_id":"522d15f6-9556-4c3a-bf9f-b4065bde80af","resolution":{"observed_at":"2026-08-16T04:58:53.045496Z","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":"2026-08-16T04:58:53.034214Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:53.034214Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:c3839ad857197a27d7ba2da00f3930152c6fca448420a3c57fd093f1262928b1","observation_id":"7ce95da9-fea5-4543-8bf4-45da03ac26a2","resolution":{"observed_at":"2026-08-16T04:58:53.034214Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-16T04:58:53.049406Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:53.049406Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:ebb914c3ed65de670d3723a4104957ed8801d0e57e9ae3f262d317b989cd7d50","observation_id":"a13893ac-2697-43c0-b015-58855746d3b6","resolution":{"observed_at":"2026-08-16T04:58:53.049406Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-08-15T20:26:32.102285Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-08-16T04:58:52.879169Z","title":"arXiv preprint arXiv:1707.06347 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.879169Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:73503a28789a88bad7cc2aad70f08a72f0799b0de091e30770df405ebb9665a8","observation_id":"799a5f86-bf36-45d7-be0a-195b94a10565","resolution":{"observed_at":"2026-08-16T04:58:52.879169Z","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":"2026-08-16T04:58:53.042208Z","title":"IEEE Transactions on Visualization and Computer Graphics 24, 4 (2018), 1653–1660","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:53.042208Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:d9127a619db5ccbacbf6a7a3b4b906dfbd42afb4e837619820b29689a536dc4d","observation_id":"aafb12b4-91cb-4485-9103-76ebe88b6dd9","resolution":{"observed_at":"2026-08-16T04:58:53.042208Z","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":"2026-08-16T04:58:52.404475Z","title":"InProceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’20)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:52.404475Z"},"links":{"citing_paper":"/paper/2504.21731"},"observation_digest":"sha256:9310cd86d310af93c2edea1859567251edb61a28d95f45308962b31b9bba52a9","observation_id":"7afde814-9abb-49c4-8816-23225e3c46fa","resolution":{"observed_at":"2026-08-16T04:58:52.404475Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2504.21731","last_updated":"2025-04-30T15:21:36Z","latest_version":1,"primary_category":"cs.HC","snapshot_observed_at":"2026-08-18T16:13:06.553075Z","submitted_at":"2025-04-30T15:21:36Z","title":"Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":4,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":39,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":48},"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 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2504.21731."}