{"as_of":"2026-08-13T15:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5c6a2c020df646ea80e8e46f844beff93433455343ceaf841c260339d06fd2cf","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T15:11:42.130881Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2411.14568/citation-record","integrity":"/paper/2411.14568/integrity","json":"/paper/2411.14568/citation-record.json","paper":"/paper/2411.14568"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:11:42.548959Z","title":"Lynch, Modern Robotics","venue":null,"work_id":"64a58371-7474-4b2e-8af3-8c82a3a8bff3","year":2017},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:41.998768Z"},"links":{"citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:8ffe2e1d3d9d1d92f8c866b51e0c6d1d6ada857c412c396bd54aa87aa81dbc8b","observation_id":"7ff41235-879f-4d0e-9b17-4048cc30f0cd","resolution":{"observed_at":"2026-08-12T15:11:42.553401Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:11:42.004550Z","title":"Autonomous multi- robot servicing for spacecraft operation extension,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.004550Z"},"links":{"citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:db9021419c2f5b4a1a956599e87112b29e46881402bd0c275c5c0095762938b3","observation_id":"1e8ce6d8-8eca-4499-a3b9-9e6e9970bb46","resolution":{"observed_at":"2026-08-12T15:11:42.004550Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.03026","last_updated":"2024-05-05T18:39:43Z","snapshot_observed_at":"2026-08-13T00:14:29.046160Z","submitted_at":"2024-05-05T18:39:43Z","title":"Enhanced Detection Classification via Clustering SVM for Various Robot Collaboration Task","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.03026","snapshot_observed_at":"2026-08-12T15:11:42.010253Z","title":"Enhanced detection classification via clustering svm for various robot collaboration task,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.010253Z"},"links":{"cited_paper":"/paper/2405.03026","citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:bf5043dfc0d091c6d30587c4ac64cbe3c4cbcee80fbc08acd0309480bf97fce0","observation_id":"e6f1b3de-2f69-4641-85bb-e78259593c74","resolution":{"observed_at":"2026-08-12T15:11:42.010253Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03497","last_updated":"2024-11-13T04:41:31Z","snapshot_observed_at":"2026-08-13T10:27:30.105027Z","submitted_at":"2024-08-07T01:37:10Z","title":"Advanced User Credit Risk Prediction Model using LightGBM, XGBoost and Tabnet with SMOTEENN","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03497","snapshot_observed_at":"2026-08-12T15:11:42.015081Z","title":"Advanced user credit risk prediction model using lightgbm, xgboost and tabnet with smoteenn,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.015081Z"},"links":{"cited_paper":"/paper/2408.03497","citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:f0389a321e57edf86da0c6f5e3acb326ebb4ca7067cf832424f08aa41796fc3b","observation_id":"0c07e424-9d63-46b0-a805-6e28767f723e","resolution":{"observed_at":"2026-08-12T15:11:42.015081Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17979","last_updated":"2024-02-28T01:48:54Z","snapshot_observed_at":"2026-08-13T04:08:40.279972Z","submitted_at":"2024-02-28T01:48:54Z","title":"Ensemble Methodology:Innovations in Credit Default Prediction Using LightGBM, XGBoost, and LocalEnsemble","version":1},"cited_work":{"arxiv_id":"2402.17979","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.17979","snapshot_observed_at":"2026-08-12T15:11:42.291909Z","title":"Ensemble Methodology:Innovations in Credit Default Prediction Using LightGBM, XGBoost, and LocalEnsemble","venue":"cs.CE","work_id":"f6ad7445-d50e-4170-a172-4a546d40cd2f","year":2024},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.020480Z"},"links":{"cited_paper":"/paper/2402.17979","citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:2e97760642f631b23acf630ccb4265006317481e610c00b3feb5d41d3d1be6db","observation_id":"644e9358-151d-4c96-89bf-f2fe7a829a27","resolution":{"observed_at":"2026-08-12T15:11:42.296825Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08084","last_updated":"2024-08-30T19:55:49Z","snapshot_observed_at":"2026-08-13T06:13:33.669767Z","submitted_at":"2024-07-10T23:03:16Z","title":"Decentralized Adaptive Aerospace Transportation of Unknown Loads Using A Team of Robots","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08084","snapshot_observed_at":"2026-08-12T15:11:42.025402Z","title":"Decentral- ized adaptive aerospace transportation of unknown loads using a team of robots,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.025402Z"},"links":{"cited_paper":"/paper/2407.08084","citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:356499c062333d77083a35993831db536ce2001b691e505e2a787354438df200","observation_id":"46eea2a4-268c-43e0-8312-70cdf727795d","resolution":{"observed_at":"2026-08-12T15:11:42.025402Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14577","last_updated":"2024-09-22T19:44:46Z","snapshot_observed_at":"2026-08-12T22:40:02.405169Z","submitted_at":"2024-09-22T19:44:46Z","title":"AR Overlay: Training Image Pose Estimation on Curved Surface in a Synthetic Way","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.14577","snapshot_observed_at":"2026-08-12T15:11:42.030655Z","title":"Ar overlay: Training image pose estimation on curved surface in a synthetic way,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.030655Z"},"links":{"cited_paper":"/paper/2409.14577","citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:003a80415e5c565530c01d172b88e31d91afe4cc099d235c7fa88bb2f67cc979","observation_id":"deeff3e5-56ca-44ad-962d-30762535725f","resolution":{"observed_at":"2026-08-12T15:11:42.030655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.04138","last_updated":"2024-08-08T00:35:39Z","snapshot_observed_at":"2026-08-12T23:06:55.128242Z","submitted_at":"2024-08-08T00:35:39Z","title":"Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.04138","snapshot_observed_at":"2026-08-12T15:11:42.035807Z","title":"Enhancing healthcare through large language models: A study on medical question answering,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.035807Z"},"links":{"cited_paper":"/paper/2408.04138","citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:a8ba12ee897dc47de8787f8c1a4cdad6e7b4893d114d591a12fdf0dfe7ae638c","observation_id":"4f189988-9ffb-4513-89da-61689f6e9a22","resolution":{"observed_at":"2026-08-12T15:11:42.035807Z","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":"2026-08-12T15:11:42.040522Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.040522Z"},"links":{"citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:71df30208eead8320dd15545ec70e87e5faf75756610df0578e6b96b3a152bf5","observation_id":"73925bf3-fe10-48a3-8910-bf9fcbc5a765","resolution":{"observed_at":"2026-08-12T15:11:42.040522Z","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":"2026-08-12T15:11:42.516719Z","title":"6: Simultaneous tracking, tagging and mapping for augmented reality,","venue":null,"work_id":"73b1c438-d990-4a24-a635-df47c62b3deb","year":2021},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.045075Z"},"links":{"citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:287a8528e5a43fadb081c8770c8b2ecaf4b0dba65ad5c5a3b6fc543b295dc250","observation_id":"6a2a61c0-46dd-42ea-b0f0-a4ba9a2afd32","resolution":{"observed_at":"2026-08-12T15:11:42.521172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13626","last_updated":"2024-06-19T15:20:19Z","snapshot_observed_at":"2026-08-12T23:39:07.744645Z","submitted_at":"2024-06-19T15:20:19Z","title":"Fine-Tuning Gemma-7B for Enhanced Sentiment Analysis of Financial News Headlines","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13626","snapshot_observed_at":"2026-08-12T15:11:42.049644Z","title":"Fine- tuning gemma-7b for enhanced sentiment analysis of financial news headlines,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.049644Z"},"links":{"cited_paper":"/paper/2406.13626","citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:90943893e2278391177943c8f7b6552b0faf87570eb127ed1d349661baf707f0","observation_id":"cbe39c01-e114-46ee-8229-529f999aa744","resolution":{"observed_at":"2026-08-12T15:11:42.049644Z","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":"2026-08-12T15:11:42.054319Z","title":"Tie memories to e-souvenirs: Hybrid tangible ar souvenirs in the museum,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.054319Z"},"links":{"citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:b0aab9357a1c8c79d4bad2efa4bec9465c5ba085225bbdaee351bd4d16eb4477","observation_id":"de8dfdd6-7408-49f3-8cbe-b13340856003","resolution":{"observed_at":"2026-08-12T15:11:42.054319Z","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":"2026-08-12T15:11:42.493425Z","title":"Hybrid multiscale search for dynamic planning of multi-agent drone traffic,","venue":null,"work_id":"00d2cb9d-2b8c-4ecb-8309-fa49fa88d3d9","year":1963},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.058814Z"},"links":{"citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:b41befbbae3865ca38dd2395a6abceb4dd29ce15c77b11ede61fd19b0f6f6f3a","observation_id":"5c5eb615-8837-41b2-8a1c-4cc9cc0f2379","resolution":{"observed_at":"2026-08-12T15:11:42.498407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:11:42.063208Z","title":"Self- adaptive robust motion planning for high dof robot manipulator using deep mpc,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.063208Z"},"links":{"citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:64fcf5e3fa3abb68fce9907ee64f2f26855d851bf2ea6d3c4b7ea2030422660b","observation_id":"b71a0157-63a1-4558-bae0-9f5d2f409a89","resolution":{"observed_at":"2026-08-12T15:11:42.063208Z","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":"2026-08-12T15:11:42.467409Z","title":"Multidimensional eigenwave multiplexing modu- lation for non-stationary channels,","venue":null,"work_id":"f761ec15-0cc0-4cc6-a2e8-8fb2078f1615","year":2023},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.068204Z"},"links":{"citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:0983a6105aff18598fd36ca4eecef8abb16c201d97f23e59748c191206850425","observation_id":"4242aa28-c33c-418d-a850-3ba34ccbdf3f","resolution":{"observed_at":"2026-08-12T15:11:42.472814Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:11:42.450679Z","title":"Learning to decompose asym- metric channel kernels for generalized eigenwave multiplexing,","venue":null,"work_id":"c633cfad-596b-4b5f-b73a-be8e701095f4","year":2024},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.072818Z"},"links":{"citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:2f59f66d5a7d485d1b5bbd19f02ba82e1b3fe15ac0f85ff4aa010d520fa77b28","observation_id":"674ca882-6321-476b-a5c6-534663446743","resolution":{"observed_at":"2026-08-12T15:11:42.455298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.15354","last_updated":"2024-01-27T09:05:41Z","snapshot_observed_at":"2026-08-13T04:33:36.371715Z","submitted_at":"2024-01-27T09:05:41Z","title":"DeepGI: An Automated Approach for Gastrointestinal Tract Segmentation in MRI Scans","version":1},"cited_work":{"arxiv_id":"2401.15354","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.15354","snapshot_observed_at":"2026-08-12T15:11:42.209257Z","title":"DeepGI: An Automated Approach for Gastrointestinal Tract Segmentation in MRI Scans","venue":"eess.IV","work_id":"2c7c86fd-5be3-4388-9345-3e2a59c6b157","year":2024},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.077261Z"},"links":{"cited_paper":"/paper/2401.15354","citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:63558ea5097c7a0f58296d7d794a902ff93419b2e8f0c20ecd1c93d4b41de717","observation_id":"268c0e8a-9321-4eb2-8799-db6c57d4ae7f","resolution":{"observed_at":"2026-08-12T15:11:42.215009Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:11:42.435412Z","title":"Demonstration of chromocloth: Re-programmable multi-color textures through flexible and portable light source,","venue":null,"work_id":"6ad6298a-ac3b-4501-ab6d-192a83641083","year":2023},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.081781Z"},"links":{"citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:68c50a48e1d59ee5e73c9e6d912371fedf379f11ccbcd0d5b279456b7816caaa","observation_id":"1f811818-c9a7-429b-82fa-e711f0991d80","resolution":{"observed_at":"2026-08-12T15:11:42.441105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:11:42.420519Z","title":"Looking from a different angle: Placing head-worn displays near the nose,","venue":null,"work_id":"07bb0be4-2dbd-43a1-a643-da32996932f4","year":2024},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.086697Z"},"links":{"citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:791dba2189d10449cc45b62095af6ab2fcdcc9f9df43ddaa7e244948ada57990","observation_id":"fdcb93bc-da86-4a64-97b0-fe5eced8a179","resolution":{"observed_at":"2026-08-12T15:11:42.425323Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:11:42.406306Z","title":"Retargeting destinations of passive props for enhancing haptic feedback in virtual reality,","venue":null,"work_id":"b2440294-29a3-4667-84d4-10e76b850e61","year":2022},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.091597Z"},"links":{"citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:1e7503e59c17c73c384308462c892d85b1b26cc555fec567c3f2c82a8980a7cc","observation_id":"da1ce9b1-4cb0-4f66-9e3f-2c7166e725fb","resolution":{"observed_at":"2026-08-12T15:11:42.410908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:11:42.390702Z","title":"Comfortably going blank: Optimizing the position of optical combiners for monocular head-worn displays during inactivity,","venue":null,"work_id":"bc228b05-8614-4541-ae8d-02deda6f5256","year":2024},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.097222Z"},"links":{"citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:982dd0bb79f316ae62938fb7fcf40a7df1646f9ab47b9dfea0f1c7f58140af69","observation_id":"6218bd2c-a12c-4576-a4c6-ef995d5445c1","resolution":{"observed_at":"2026-08-12T15:11:42.395955Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:11:42.101453Z","title":"Manipulator control system based on machine vision,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.101453Z"},"links":{"citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:5849538e71e8658853999da0fb0e92e0dbe9601057bff672a52247650d00e58a","observation_id":"430e677b-d0be-4306-acd3-83518a9d6285","resolution":{"observed_at":"2026-08-12T15:11:42.101453Z","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":"2026-08-12T15:11:42.366390Z","title":"Going blank comfortably: Positioning monocular head-worn displays when they are inactive,","venue":null,"work_id":"505a0db0-1f15-4a5d-8904-82abb6351bd5","year":2023},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.106676Z"},"links":{"citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:c8986e4644b3d50cc9fa557c46b7bab2bc78b9a7e14a58370e841bf4fbdb4ad7","observation_id":"1c2ba2d4-5f26-40bf-ad8e-6fc138b49fe4","resolution":{"observed_at":"2026-08-12T15:11:42.371149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:11:42.111818Z","title":"Gradient-based learning applied to document recognition,","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.111818Z"},"links":{"citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:12f757f0ce007e6219c85ccbcf3afd8c5593681f4181e67f0825d234d63fc65b","observation_id":"ec3fae08-674c-4739-b96e-9585e8478687","resolution":{"observed_at":"2026-08-12T15:11:42.111818Z","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":"2026-08-12T15:11:42.116966Z","title":"Visualizing and understanding convo- lutional networks,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.116966Z"},"links":{"citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:2ae0abe06c17dde62836c1771612d9ce2aace2258cf8c36e8d452d8ba83af180","observation_id":"6bf3135f-6b3b-4e74-adcb-e53870bb9ac1","resolution":{"observed_at":"2026-08-12T15:11:42.116966Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-08-12T14:19:29.389332Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-08-12T15:11:42.122124Z","title":"Very deep convolutional networks for large-scale image recognition,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.122124Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:0377c88a05ae26ce11e50879a77cfd4e352fd861c6c060bc6cc3ec80a0e60041","observation_id":"1c2aaad3-7b1d-46c9-a325-12f909c8f5cf","resolution":{"observed_at":"2026-08-12T15:11:42.122124Z","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":"2026-08-12T15:11:42.126514Z","title":"Going deeper with convolutions,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.126514Z"},"links":{"citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:fe4a32a6acb6ae5e26547d833d22c722a6060eb0827766498594c9f9506aa16e","observation_id":"6e151c8e-c3ca-414a-9dc1-a75a8244c8cf","resolution":{"observed_at":"2026-08-12T15:11:42.126514Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17617","last_updated":"2024-09-15T06:48:13Z","snapshot_observed_at":"2026-08-12T23:15:22.275453Z","submitted_at":"2024-07-24T20:09:37Z","title":"Adaptive Robot Detumbling of a Non-Rigid Satellite","version":2},"cited_work":{"arxiv_id":"2407.17617","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.17617","snapshot_observed_at":"2026-08-12T15:11:42.166921Z","title":"Adaptive Robot Detumbling of a Non-Rigid Satellite","venue":"cs.RO","work_id":"2bcaa1c7-c6e0-4d05-9d15-e59e6b63c6b0","year":2024},"citing_paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:42.130881Z"},"links":{"cited_paper":"/paper/2407.17617","citing_paper":"/paper/2411.14568"},"observation_digest":"sha256:e197077f875ec8cd8ba06ba9cb532fc51e4d00b627ca011eee757d5dfd634f67","observation_id":"8826c6b1-62d3-4464-9ebd-d29724a476e4","resolution":{"observed_at":"2026-08-12T15:11:42.174966Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.14568","last_updated":"2024-11-21T20:31:45Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-12T21:43:04.126967Z","submitted_at":"2024-11-21T20:31:45Z","title":"Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":3,"verified_fuzzy":10},"total_outbound_references":28},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2411.14568."}