{"as_of":"2026-08-09T10:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c9590bc613ad11d999ab1d56e7dd45a16a24d7f89ce71539010251061b7b85d3","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T09:07:15.141900Z","state":"measured"},{"denominator":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2510.17525/citation-record","integrity":"/paper/2510.17525/integrity","json":"/paper/2510.17525/citation-record.json","paper":"/paper/2510.17525"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:07:10.038288Z","title":"Hierarchical drone navigation control for ensuring safety with stationary humans,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:10.038288Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:be52059bc752add3c87d10e29dd2e6e6e32b0e4ad65d77d11a03aa63d1ddaa9f","observation_id":"38d69a39-df14-4b32-a9b8-8489416ad934","resolution":{"observed_at":"2026-08-04T09:07:10.038288Z","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":"2026-08-04T09:07:10.115751Z","title":"Robot navigation in dense human crowds: Statistical models and experimental studies of human–robot cooperation,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:10.115751Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:b5d0d966d1c28475e59bbf4860b1ecb5cb098817831892658082f46535b339d7","observation_id":"1f376dbb-97f8-4b0d-a481-8a356fd22e18","resolution":{"observed_at":"2026-08-04T09:07:10.115751Z","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":"2026-08-04T09:07:10.245296Z","title":"Move beyond tra- jectories: Distribution space coupling for crowd navigation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:10.245296Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:ecae8a5df04fc521fa44ddc3c4abcce44567e470774fb4411692447a6993aaeb","observation_id":"5b1f6bae-b2f2-4204-aef6-d8b08d4c80a0","resolution":{"observed_at":"2026-08-04T09:07:10.245296Z","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":"2026-08-04T09:07:10.377049Z","title":"Intention-aware online pomdp planning for autonomous driving in a crowd,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:10.377049Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:ef24f5640d5b29a1c5abf5be7c9c57f9e2da341d6a1ebf7e01fd171987c212ea","observation_id":"9e6593e4-804e-4c62-9409-a065af5d89fb","resolution":{"observed_at":"2026-08-04T09:07:10.377049Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1705.04226","last_updated":"2017-07-04T02:08:23Z","snapshot_observed_at":"2026-07-06T05:42:17.141991Z","submitted_at":"2017-05-11T15:02:34Z","title":"Robot Planning with Mathematical Models of Human State and Action","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.04226","snapshot_observed_at":"2026-08-04T09:07:10.544137Z","title":"Robot planning with mathematical models of human state and action,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:10.544137Z"},"links":{"cited_paper":"/paper/1705.04226","citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:e66f5383e231a3ecb58f64deac23f5c3ace53127bb0270247308547f288285d4","observation_id":"b1091392-9697-4cde-832e-4cd24e38688f","resolution":{"observed_at":"2026-08-04T09:07:10.544137Z","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":"2026-08-04T09:07:10.722644Z","title":"Sicnav: Safe and interactive crowd navigation using model predictive control and bilevel optimization,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:10.722644Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:671a6961b23ab68ec54f29bd92520da2c174bd21c18b68803ecd2e529f946721","observation_id":"a0c1127b-3750-4b60-9a69-e6f7699c513b","resolution":{"observed_at":"2026-08-04T09:07:10.722644Z","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":"2026-08-04T09:07:10.865641Z","title":"End-to-end safe reinforcement learning through barrier functions for safety-critical continuous control tasks,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:10.865641Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:a9bf7b8ff2808e3cb37a8954aaa01d0c779c5bc38797c0f6b7387a940c66a6d0","observation_id":"1ff958e4-c45d-4c41-b2fa-dc0d7f5349a9","resolution":{"observed_at":"2026-08-04T09:07:10.865641Z","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":"2026-08-04T09:07:11.000410Z","title":"Collision avoidance in pedestrian-rich environments with deep reinforcement learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:11.000410Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:67bf8eda648f16048300287f28ddd87186f9dfd91056f867e797a5fdcd89b291","observation_id":"03a7605c-5092-40e5-8116-ad76ca1ea27d","resolution":{"observed_at":"2026-08-04T09:07:11.000410Z","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":"2026-08-04T09:07:11.123178Z","title":"Socially compliant mobile robot navigation via inverse reinforcement learning,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:11.123178Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:7267c9ddd4c3813615a9f44e4194aeb87498cfb5db1c09fe6dc8de39eb6339b9","observation_id":"8b56a47a-fbf1-4fea-9d5f-a391377f43ce","resolution":{"observed_at":"2026-08-04T09:07:11.123178Z","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":"2026-08-04T09:07:11.251803Z","title":"A time-dependent hamilton- jacobi formulation of reachable sets for continuous dynamic games,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:11.251803Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:fce392afe8a9164a700b6fe12352274a993fb948dce582dd16c9ad157f8ad214","observation_id":"c2f79a6b-33a3-49a9-8893-292a0b8e4afe","resolution":{"observed_at":"2026-08-04T09:07:11.251803Z","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":"2026-08-04T09:07:11.401560Z","title":"Planning, fast and slow: A framework for adaptive real-time safe trajectory planning,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:11.401560Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:2bfd3c1622cb085b256e7aa86b183095568234c8c78aabdc39cdf859830d1893","observation_id":"8fee1d2d-6972-468f-88c9-2e1ad38c09ed","resolution":{"observed_at":"2026-08-04T09:07:11.401560Z","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":"2026-08-04T09:07:11.579880Z","title":"Reciprocal n- body collision avoidance,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:11.579880Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:50f5ea689c95039589603bf817f80b49cdbbadc2d202c00a4990ce0e576b4b93","observation_id":"51430b9e-4c03-40b0-9950-ef048081fa5d","resolution":{"observed_at":"2026-08-04T09:07:11.579880Z","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":"2026-08-04T09:07:11.794385Z","title":"Sicnav-diffusion: Safe and interactive crowd navigation with diffusion trajectory predictions,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:11.794385Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:6dd84d6aef02a04eee7180b1038a61b07bed238290393a9c58bca14b20bb3815","observation_id":"c85f4845-cc63-4cb4-bcb9-193bab9fc8a7","resolution":{"observed_at":"2026-08-04T09:07:11.794385Z","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":"2026-08-04T09:07:11.943309Z","title":"Leveraging neural network gradients within trajectory optimization for proactive human- robot interactions,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:11.943309Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:0417c214da10d92206e85d528c3166787a3df70f48780d57c243fa34612ae439","observation_id":"7fbaec85-6e23-4d01-8ee4-5f2ace5c0520","resolution":{"observed_at":"2026-08-04T09:07:11.943309Z","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":"2026-08-04T09:07:12.119570Z","title":"Aircaprl: Autonomous aerial human motion capture using deep reinforcement learning,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:12.119570Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:2692c75c3eecbd4f289bbe7ded248d275dca9c0bd318239618e4b0f267918faa","observation_id":"579d09e4-ca4e-4f28-a953-631ecac52ee8","resolution":{"observed_at":"2026-08-04T09:07:12.119570Z","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":"2026-08-04T09:07:12.235515Z","title":"SMPL: A skinned multi-person linear model,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:12.235515Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:5beabc50515f90853c9f803442b1f22d27207fcd89ab56f5bf9da44fa2e916b1","observation_id":"b0eac45a-5e65-434a-8d9c-d2610edc704b","resolution":{"observed_at":"2026-08-04T09:07:12.235515Z","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":"2026-08-04T09:07:12.384333Z","title":"Fully autonomous micro air vehicle flight and landing on a moving target using visual–inertial estimation and model-predictive control,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:12.384333Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:17e4899894d142598561b66146e0d09fe9b14adaf0c68b4eff48efd0f98250d0","observation_id":"31f68013-fa2e-4a07-a1d0-201147b920d8","resolution":{"observed_at":"2026-08-04T09:07:12.384333Z","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":"2026-08-04T09:07:12.510924Z","title":"Hybrid predictive control for aerial robotic physical interaction towards in- spection operations,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:12.510924Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:eeb38655f05476456336cb5443bfc8c0c34ebab6281b288081a4cd118189ba3a","observation_id":"04c221b2-a8dd-4bd3-a3d8-aa64814a1177","resolution":{"observed_at":"2026-08-04T09:07:12.510924Z","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":"2026-08-04T09:07:12.638499Z","title":"PAMPC: Perception- aware model predictive control for quadrotors,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:12.638499Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:b3ce1f516610e426a10c5dd18f83d5fd9e62b625e002474fd54b4547c76f13ee","observation_id":"446bb390-6752-4def-9412-377bd98be0c4","resolution":{"observed_at":"2026-08-04T09:07:12.638499Z","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":"2026-08-04T09:07:12.802507Z","title":"End-to-end recovery of human shape and pose,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:12.802507Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:81ea07a54095c0e8264cd8d4b1cc000555a7ca2148f737b8bc3f4dc3729f4549","observation_id":"fc3db7ee-a0c8-4b7e-982d-cc50e02d6f19","resolution":{"observed_at":"2026-08-04T09:07:12.802507Z","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":"2026-08-04T09:07:12.928840Z","title":"Vibe: Video inference for human body pose and shape estimation,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:12.928840Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:e2b95b2d463c9ac492af49ae673e3db237dc1cd567069ad9c1565ddb6d52acef","observation_id":"a0d5ef64-240f-48f0-b27b-fef9ea9b7b6a","resolution":{"observed_at":"2026-08-04T09:07:12.928840Z","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":"2026-08-04T09:07:13.105303Z","title":"Humans in 4D: Reconstructing and tracking humans with transform- ers,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:13.105303Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:4d95a7c9fa7ec9ecb3bd67226d7f16f77a4ef3770e7fb5f46178ce0aaf04cb97","observation_id":"a25ad489-4853-4f80-8c44-13a06be4cbc0","resolution":{"observed_at":"2026-08-04T09:07:13.105303Z","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":"2026-08-04T09:07:13.236914Z","title":"Poseformerv2: Exploring frequency domain for efficient and robust 3d human pose estimation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:13.236914Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:93289c1a591e9da5d727d1e6deca7ef83e5f466dcd065440cfcdd3d4a19e1d5f","observation_id":"e872afda-f312-4ab8-be37-80d20285aa32","resolution":{"observed_at":"2026-08-04T09:07:13.236914Z","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":"2026-08-04T09:07:13.366849Z","title":"Glopro: Globally- consistent uncertainty-aware 3d human pose estimation & tracking in the wild,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:13.366849Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:ec28515f2dc31dfa913906ccf90fdf11b60385b80f70bfea69fbe37036bfbb0b","observation_id":"b67b5961-6340-4f70-8b2e-3aa9895c4523","resolution":{"observed_at":"2026-08-04T09:07:13.366849Z","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":"2026-08-04T09:07:13.514327Z","title":"Pace: Human and motion estimation from in-the-wild videos,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:13.514327Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:07a831c5f34684043ad244ba77761b011194af0bc7c35b82da47d52564269b17","observation_id":"7bd5dd77-6eda-4875-bdca-4ab5926f5eb6","resolution":{"observed_at":"2026-08-04T09:07:13.514327Z","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":"2026-08-04T09:07:13.630622Z","title":"PARE: Part Attention Regressor for 3D Human Body Estimation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:13.630622Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:d710ad6b3c9fa40426e234f3b504b9ca0d01811cf8aee5f5bb77e827a4b0a51f","observation_id":"043d9574-17a3-4746-a780-0a49937dda2d","resolution":{"observed_at":"2026-08-04T09:07:13.630622Z","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":"2026-08-04T09:07:13.785557Z","title":"Glamr: Global occlusion-aware human mesh recovery with dynamic cameras,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:13.785557Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:542b4cfc5402e968fcfaf267cb6af6a11f5141e4e32a7725863e43f71bc483a2","observation_id":"f7236111-f148-4710-a7b8-7696cd028d56","resolution":{"observed_at":"2026-08-04T09:07:13.785557Z","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":"2026-08-04T09:07:13.957956Z","title":"Simple baselines for human pose estimation and tracking,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:13.957956Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:e3f94d4fda0478f96bf00106bd7e203b9c2f31ce80da6d5df845cb280efd5a72","observation_id":"15793c57-9ecc-4aab-a66c-102d3439184d","resolution":{"observed_at":"2026-08-04T09:07:13.957956Z","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":"2026-08-04T09:07:14.081814Z","title":"Motionmixer: Mlp-based 3d human body pose forecasting,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:14.081814Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:0b6b26fab0a7d0deae8272edb244f3f30c9557bf2e2c3fa52146d92a98a5debc","observation_id":"3aa9d875-5341-4335-a1f4-0cc94ce45424","resolution":{"observed_at":"2026-08-04T09:07:14.081814Z","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":"2026-08-04T09:07:14.223934Z","title":"Boyd and L","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:14.223934Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:f1eebcc7d0a8e757780005e08b3d7d167dbaf66efb38f5e6d1536067c399f181","observation_id":"ede101bb-f1e1-4183-8d61-cb7eae483466","resolution":{"observed_at":"2026-08-04T09:07:14.223934Z","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":"2026-08-04T09:07:14.371255Z","title":"Sara: A tool for safe human-robot coexistence and collaboration through reachability analysis,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:14.371255Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:576d8761b79840b5ba908b06d653d1ca982ff14a4efa0949d1582444846d7912","observation_id":"63eeca09-ecab-4aac-9ccf-9de17e45e1bc","resolution":{"observed_at":"2026-08-04T09:07:14.371255Z","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":"2026-08-04T09:07:14.533652Z","title":"Pedestrian walking speed analysis: A systematic review,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:14.533652Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:a2f5c5e474dc888e44c638bf12c6c6092a0cd25f8b2f65ff573b6a25e22aed41","observation_id":"1d5ae421-e81b-448f-b1a8-27ce9c74e033","resolution":{"observed_at":"2026-08-04T09:07:14.533652Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.02547","last_updated":"2020-06-06T09:33:51Z","snapshot_observed_at":"2026-07-06T09:02:26.255620Z","submitted_at":"2020-03-05T11:45:49Z","title":"HPIPM: a high-performance quadratic programming framework for model predictive control","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.02547","snapshot_observed_at":"2026-08-04T09:07:14.671657Z","title":"Hpipm: a high-performance quadratic programming framework for model predictive control,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:14.671657Z"},"links":{"cited_paper":"/paper/2003.02547","citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:01ed51b4ffc41c0089d06cfb0d9fbe9d61b0321b94f75a9628a08f178fc0a4ff","observation_id":"04c85da0-6cbf-4c76-b6eb-4afb27155401","resolution":{"observed_at":"2026-08-04T09:07:14.671657Z","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":"2026-08-04T09:07:14.842363Z","title":"AMASS: Archive of motion capture as surface shapes,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:14.842363Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:8e105589888a1c755bff4c1e1109338cf9c4c9c3eb11e202496c82c0209f7dfb","observation_id":"f9c3351b-f901-4211-87a2-69aa66566a94","resolution":{"observed_at":"2026-08-04T09:07:14.842363Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.09199","last_updated":"2022-08-12T10:53:55Z","snapshot_observed_at":"2026-08-08T01:07:18.973684Z","submitted_at":"2022-02-18T13:53:43Z","title":"OKVIS2: Realtime Scalable Visual-Inertial SLAM with Loop Closure","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.09199","snapshot_observed_at":"2026-08-04T09:07:15.024232Z","title":"Okvis2: Realtime scalable visual-inertial slam with loop closure,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:15.024232Z"},"links":{"cited_paper":"/paper/2202.09199","citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:c433bac644c40752d874d0a4c13f15490a26e5e70448bc0ea970b7f6fb6ae4c7","observation_id":"8063d24b-bca1-4593-9015-c627d2a2ad87","resolution":{"observed_at":"2026-08-04T09:07:15.024232Z","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":"2026-08-04T09:07:15.141900Z","title":"Px4: A node-based multithreaded open source robotics framework for deeply embedded platforms,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T09:07:15.141900Z"},"links":{"citing_paper":"/paper/2510.17525"},"observation_digest":"sha256:3b4dfe796d88b4a34c4654d2b6cf7a91186bbb8cd9d68fb4df8157dedd841de3","observation_id":"1b44ba2d-3b69-4e34-9864-17c39bbd6e65","resolution":{"observed_at":"2026-08-04T09:07:15.141900Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2510.17525","last_updated":"2026-06-19T22:16:42Z","latest_version":3,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-07T03:25:41.753552Z","submitted_at":"2025-10-20T13:24:36Z","title":"HumanHalo -- Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":36,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":36},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2510.17525."}