{"as_of":"2026-08-18T12:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:53f70270e0d4456a4573925915f9f1aa5ed09a9012744b07a871a097bcbeb8c1","coverage":[{"denominator":37,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":37,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T04:21:32.554762Z","state":"measured"},{"denominator":37,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":37,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2608.10056/citation-record","integrity":"/paper/2608.10056/integrity","json":"/paper/2608.10056/citation-record.json","paper":"/paper/2608.10056"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:21:33.927388Z","title":"Exploring the role of human-following robots in supporting the mobility and wellbeing of older people,","venue":null,"work_id":"0511658a-59c7-4544-b22e-1f7d050d9993","year":2023},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.064558Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:b03fded08c83f1c7695203d6faaf08e85fa3b045067e370c076b4bce494281a5","observation_id":"13b218cf-6b4d-4186-ad79-43852bb45ca1","resolution":{"observed_at":"2026-08-14T04:21:33.933981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:21:33.908216Z","title":"Human-following and-guiding in crowded environments using se- mantic deep-reinforcement-learning for mobile service robots,","venue":null,"work_id":"e8721c1a-3e82-4799-b630-1951cf133413","year":2022},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.080217Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:9e9cce156c7a0e6644f8151dd3bd6414b90ccaf276603e53413bc41120d135ae","observation_id":"25004aff-e95e-43fc-8d1a-1aad4704cc53","resolution":{"observed_at":"2026-08-14T04:21:33.913933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:21:33.879580Z","title":"An mcts-drl based obstacle and occlusion avoidance methodology in robotic follow- ahead applications,","venue":null,"work_id":"b62d1954-6613-4adb-aa6d-eb87bcdc99aa","year":2023},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.104751Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:9c1bbfc8aa1730b505ea2d66a6a81197b3b30dea9d2d7e9e60dd2fa3b0f150bd","observation_id":"2a7da9d2-aad8-426a-b815-f29d94b537e2","resolution":{"observed_at":"2026-08-14T04:21:33.889384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:21:32.134019Z","title":"Adaptive conformal inference under dis- tribution shift,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.134019Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:7fd5d3929ec8fe58c9fbdce2f6f63d7ce48a964223ef23e5fe72594bc92454d2","observation_id":"1048f08f-833d-4a52-aa50-7c3bca93f853","resolution":{"observed_at":"2026-08-14T04:21:32.134019Z","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":"2026-08-14T04:21:33.848372Z","title":"Conformal inference for online predic- tion with arbitrary distribution shifts,","venue":null,"work_id":"0237cbfa-4a1d-4e1f-81e9-e1ede07f389b","year":2024},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.142470Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:ce29b19c97542258b24bf41f08e02698f38fcb84e03842ca0c5ee47c1cc939d5","observation_id":"fcc7d55b-e377-4175-bd9e-7426a338d894","resolution":{"observed_at":"2026-08-14T04:21:33.856716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:21:32.159179Z","title":"Safe planning in dynamic environments using conformal prediction,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.159179Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:f7fc20f5221c66076d08950699776dfe2c5f12db59be828ebe3496f9e1030179","observation_id":"8ea0a5c2-b747-46af-93dc-003c54f261c8","resolution":{"observed_at":"2026-08-14T04:21:32.159179Z","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":"2026-08-14T04:21:32.178974Z","title":"Navformer: A transformer ar- chitecture for robot target-driven navigation in unknown and dynamic environments,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.178974Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:bd0b82644dcaa139abecb5e434ac6e16a90ea5f052e4bb534dd1a037918f631e","observation_id":"f2e6c05c-dd77-4d9b-b10b-e0939bf8f7f8","resolution":{"observed_at":"2026-08-14T04:21:32.178974Z","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":"2026-08-14T04:21:33.778542Z","title":"Omnisafe: An infrastructure for accelerating safe reinforcement learning research,","venue":null,"work_id":"75334be1-e1fb-4a70-acfe-85cdb09e7bce","year":2024},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.208320Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:1d98944ae0b6dbbf8ac926ae9687741dc373cb2a4daf61fd160222f4f784d9cf","observation_id":"1c543dec-e131-48c2-baf7-8596c2009ca9","resolution":{"observed_at":"2026-08-14T04:21:33.784819Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.01708","last_updated":"2019-10-03T20:15:55Z","snapshot_observed_at":"2026-08-14T05:35:42.838302Z","submitted_at":"2019-10-03T20:15:55Z","title":"Benchmarking Batch Deep Reinforcement Learning Algorithms","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.01708","snapshot_observed_at":"2026-08-14T04:21:32.228188Z","title":"Benchmarking safe exploration in deep reinforcement learning,","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.228188Z"},"links":{"cited_paper":"/paper/1910.01708","citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:b9e2517762b5cffb2e55636bd8f955ad5d378463ee168194e7d84074437e71cd","observation_id":"a7a5b947-86cf-4c11-b9e4-2c2b6c079aba","resolution":{"observed_at":"2026-08-14T04:21:32.228188Z","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":"2026-08-14T04:21:33.757102Z","title":"Crowd-robot interaction: Crowd-aware robot navigation with attention-based deep reinforce- ment learning,","venue":null,"work_id":"3f8636b6-e544-4d67-aa6b-e3f742285692","year":2019},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.237932Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:a5b8c4053b113e1c12ba32f5359258b92651b8e23c8af20ce412b75b172571db","observation_id":"1f8e3049-c435-446b-b961-c90fd3074f71","resolution":{"observed_at":"2026-08-14T04:21:33.764753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:21:32.245053Z","title":"Person-following by autonomous robots: A categorical overview,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.245053Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:8a3a8f1c60249b9cf89ec94e8e62888a38d78d6cd2e68c157f47bee8d6bee074","observation_id":"72927d22-2377-4170-8610-0dab2aec92d4","resolution":{"observed_at":"2026-08-14T04:21:32.245053Z","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":"2026-08-14T04:21:32.249855Z","title":"Human following and guidance by autonomous mobile robots: A comprehensive review,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.249855Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:8ceb9e718cec84f42a9a7206063c8b68b5ccf0cc0b9c8b34ecbb52fb09e8c66e","observation_id":"6c810928-4fc2-404a-89d6-c54c13fea03a","resolution":{"observed_at":"2026-08-14T04:21:32.249855Z","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":"2026-08-14T04:21:33.695289Z","title":"Obstacle-avoidant leader following with a quadruped robot,","venue":null,"work_id":"6453bad7-0d56-437f-a2aa-7ae922a23868","year":2025},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.257005Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:72a52e2a137743c160761cdb8c42f05e516ae473cabb8d7dddec3a4869127e53","observation_id":"d043d454-ac92-4297-9f56-031ad0bcf814","resolution":{"observed_at":"2026-08-14T04:21:33.708788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:21:33.642026Z","title":"Robot person following under partial occlusion,","venue":null,"work_id":"8877bb85-8a07-4ca7-b5e6-fe7583ec1247","year":2023},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.284770Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:70fe209c7ccb3f66268bb7bcc6d05dc0fa049bfbd7502bf24bd4cb5ce34a445a","observation_id":"d8134305-0a36-4fa7-a646-1979f5e7663a","resolution":{"observed_at":"2026-08-14T04:21:33.658277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:21:33.569414Z","title":"Trackvla: Embodied visual tracking in the wild,","venue":null,"work_id":"3b60140b-f498-422f-87f4-a2fe80153b6a","year":2025},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.308261Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:328082ab2ac31c7b442cf1c6d37f83c6931b4a95c5288be4f12332c28ef1feac","observation_id":"c893c205-7329-4180-8fde-3421fc9e78e2","resolution":{"observed_at":"2026-08-14T04:21:33.589516Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:21:33.527403Z","title":"Safe and robust human follow- ing for mobile robots based on self-avoidance mpc in crowded corridor scenarios,","venue":null,"work_id":"78624853-6e69-425b-a2e2-a136c7b159ff","year":2023},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.315931Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:6c69dd0f76dcd753cdbbe354916cb66d06c3aae0e053a6e6b4ed90b228e4289b","observation_id":"a6ad5e51-1d50-41ab-9ba4-3dfc2e1b8f33","resolution":{"observed_at":"2026-08-14T04:21:33.541667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.11308","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:21:32.837856Z","title":"Adap-rpf: Adaptive trajectory sampling for robot person following in dynamic crowded environments,","venue":null,"work_id":"05487f0f-622b-4cfb-a3b4-66c6a6ce5478","year":2025},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.329461Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:2b635ef58651f5c3ab8735c16e1fec2ee87ecbdd669641b2b6c44758f8017d46","observation_id":"279e5a93-1578-4ea9-9c6f-ec83f5f039ad","resolution":{"observed_at":"2026-08-14T04:21:32.852245Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:21:32.339494Z","title":"Not only rewards but also constraints: Applications on legged robot locomotion,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.339494Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:c7525d032b7c984addecd374778e0560dc723957936bcd02695a3ba7ac8c106b","observation_id":"fa2f8b31-b2b5-4d81-8c7d-c3ffacc00199","resolution":{"observed_at":"2026-08-14T04:21:32.339494Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.15430","last_updated":"2023-09-27T06:49:20Z","snapshot_observed_at":"2026-08-18T00:25:30.906802Z","submitted_at":"2023-09-27T06:49:20Z","title":"Evaluation of Constrained Reinforcement Learning Algorithms for Legged Locomotion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.15430","snapshot_observed_at":"2026-08-14T04:21:32.346996Z","title":"Evaluation of constrained reinforcement learning algorithms for legged locomotion,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.346996Z"},"links":{"cited_paper":"/paper/2309.15430","citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:59c3d11a88ff017f848dd2c54442446521d53991e158a87e6a2678a1057988d2","observation_id":"153100d8-7c15-4ecf-bdd8-539481b5770c","resolution":{"observed_at":"2026-08-14T04:21:32.346996Z","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":"2026-08-14T04:21:33.437234Z","title":"Towards generalizable safety in crowd navigation via conformal uncertainty handling,","venue":null,"work_id":"9c12aa23-37e0-40d5-81f7-ef7079c492c2","year":2025},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.364750Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:292f52d5c2521d07a9c83289438d84af4fc780e9bc89ad85c5172448036c2e4e","observation_id":"13891b4e-8c52-4088-a6e4-1e979a683a70","resolution":{"observed_at":"2026-08-14T04:21:33.452364Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:21:32.378118Z","title":"Safe learning in robotics: From learning-based control to safe reinforcement learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.378118Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:e230404fd6858f1c1ec29007942cc86ce4388ddc4bced0f2c24b623e9d070fa2","observation_id":"6577d69f-506c-44ce-8305-ca54bd503ca5","resolution":{"observed_at":"2026-08-14T04:21:32.378118Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17460","last_updated":"2025-02-06T18:55:45Z","snapshot_observed_at":"2026-08-17T04:24:45.509168Z","submitted_at":"2024-07-24T17:57:21Z","title":"SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.17460","snapshot_observed_at":"2026-08-14T04:21:32.387812Z","title":"Sonic: Safe social navigation with adaptive conformal inference and constrained reinforcement learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.387812Z"},"links":{"cited_paper":"/paper/2407.17460","citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:d1127818e88c76baae7dc4da82cd2445530a08f45f5a2cb77fa0c0d4cf96a914","observation_id":"71c38da1-97a8-4119-8965-13c5861d51b9","resolution":{"observed_at":"2026-08-14T04:21:32.387812Z","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":"2026-08-14T04:21:33.309685Z","title":"Constrained policy op- timization,","venue":null,"work_id":"f18020e3-2ad1-4eb7-994a-aacb780dddfc","year":2017},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.396289Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:24392f2a906e220fc147a219fbe1c509abf6132397089fb8800fd3374bd55e17","observation_id":"781fe256-9a35-4cb4-840a-8f30f72d142b","resolution":{"observed_at":"2026-08-14T04:21:33.344859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:21:33.225263Z","title":"Projection- based constrained policy optimization,","venue":null,"work_id":"e9b4e92f-e147-4cec-91c4-93ac1cf5bbe5","year":2020},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.409036Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:a88ecd3d9c342703d23d85e61fb3e93675087ab164e1ecaf2ed97c039872196b","observation_id":"4517c9de-8a97-4a90-a3da-58392a9a8197","resolution":{"observed_at":"2026-08-14T04:21:33.259720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:21:32.418083Z","title":"Altman,Constrained Markov decision processes","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.418083Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:790a00ddebdc1bd644d09fd616a3d7ee6044f4ee40ec19d1fed7555d225d4a32","observation_id":"1aeb6fb6-cc1f-420b-bd4b-87ab6b5862c1","resolution":{"observed_at":"2026-08-14T04:21:32.418083Z","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":"2026-08-14T04:21:32.429851Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.429851Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:2bb7960c002c952bd7f11988ce88a713c6b40a094925b86ef7e59d19998344c7","observation_id":"5ea49c58-9104-40ae-b21d-4c92de7f2ecb","resolution":{"observed_at":"2026-08-14T04:21:32.429851Z","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":"2026-08-14T04:21:33.124935Z","title":"High- dimensional continuous control using generalized advantage estima- tion,","venue":null,"work_id":"af8fa579-c11c-433e-838e-ee9644804a73","year":2016},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.434732Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:0de3aca1234cba5c41ec980aaa312665aa4fe4aed9fd99cb8a0b210a224a2377","observation_id":"49d72490-1e44-4e34-b51a-8687f224cd3b","resolution":{"observed_at":"2026-08-14T04:21:33.146142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:21:33.104816Z","title":"Wayformer: Motion forecasting via simple & efficient atten- tion networks,","venue":null,"work_id":"e292ee3a-29ac-417b-a969-e08c5dc23c9a","year":2023},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.450020Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:ea399bd50c2101aa59fbe38c93c99f89abd8ddcf6f351a724c2c3b7d6eba2d71","observation_id":"3419b24c-2651-40fa-95a3-f4636be2aeec","resolution":{"observed_at":"2026-08-14T04:21:33.111929Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:21:33.081562Z","title":"Height: Heterogeneous interac- tion graph transformer for robot navigation in crowded and constrained environments,","venue":null,"work_id":"d33c3a5d-c6a6-4dd1-8896-48a1f633bd2d","year":2026},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.458496Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:4c4d1d55ffa7ffb5b1d80b717ab836bf662310f5aaa26a992a8a99155723f317","observation_id":"ea6ed351-54a6-4348-ac0b-cf63bc90da1e","resolution":{"observed_at":"2026-08-14T04:21:33.090501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2026-08-14T04:21:32.474739Z","title":"Proximal policy optimization algorithms,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.474739Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:8400915ce461fded9beb5dbc247f9f170b62a5739c987290147d18678e487be5","observation_id":"ab021836-91f7-4629-be42-e698f2d57a0a","resolution":{"observed_at":"2026-08-14T04:21:32.474739Z","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":"2026-08-14T04:21:32.480645Z","title":"Reciprocal n- body collision avoidance,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.480645Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:6ff83f8e19326e5f4099810a1da9a84eb97e929ccf241a9943055f6fac0c50c7","observation_id":"f5aa8b7a-79f6-41f4-a8c9-553941e20576","resolution":{"observed_at":"2026-08-14T04:21:32.480645Z","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":"2026-08-14T04:21:33.016734Z","title":"Efficient motion planning based on kinodynamic model for quadruped robots following persons in confined spaces,","venue":null,"work_id":"aff30a30-cd12-43af-b8bc-26d742dcee26","year":1997},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.488489Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:d4f9af5d67251f1fa6cccc3e320ede1290fb37d48e6eb1dc6beb459fe751a5a2","observation_id":"01fc7f18-b653-4e47-b592-d67165b3dde5","resolution":{"observed_at":"2026-08-14T04:21:33.037121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:21:32.498666Z","title":"Path planning for autonomous vehicles in unknown semi-structured environments,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.498666Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:00c3239b274b48b0d4494d4e28bcbdef35e3f79b37225542709fdb39a69b2f00","observation_id":"3c3a3ecf-d57f-4989-b5be-96a055fdfef0","resolution":{"observed_at":"2026-08-14T04:21:32.498666Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.06221","last_updated":"2025-02-10T07:53:04Z","snapshot_observed_at":"2026-08-18T04:02:35.283023Z","submitted_at":"2025-02-10T07:53:04Z","title":"Interaction-aware Conformal Prediction for Crowd Navigation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.06221","snapshot_observed_at":"2026-08-14T04:21:32.507309Z","title":"Interaction-aware conformal prediction for crowd naviga- tion,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.507309Z"},"links":{"cited_paper":"/paper/2502.06221","citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:1c1a633f5ee50659204dfa6e8c48dde8c40706cef3f57d07c46184d9b7f680af","observation_id":"5cdc4606-478c-4926-8add-51ef3a649449","resolution":{"observed_at":"2026-08-14T04:21:32.507309Z","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":"2026-08-14T04:21:32.534754Z","title":"What the constant velocity model can teach us about pedestrian motion prediction,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.534754Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:5e64707799e6a54d81d99c6670a56cce69b2d03a089678527f5a0bdd28daf509","observation_id":"c84466f3-b9b6-4f5e-9b1b-422f30e00122","resolution":{"observed_at":"2026-08-14T04:21:32.534754Z","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":"2026-08-14T04:21:32.942160Z","title":"Dr-spaam: A spatial-attention and auto-regressive model for person detection in 2d range data,","venue":null,"work_id":"7203c32e-abb6-4389-a417-c357af11aabc","year":2020},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.540228Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:4d0cdfe476bec479ba0c723df33360555c7b533eff763c5a1e7c33728be7f589","observation_id":"226cdcc6-3686-4574-b03b-42a18d0f0593","resolution":{"observed_at":"2026-08-14T04:21:32.949485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:21:32.554762Z","title":"Simple online and realtime tracking,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T04:21:32.554762Z"},"links":{"citing_paper":"/paper/2608.10056"},"observation_digest":"sha256:0c775ca594008724883c5c900d36bd1b39f60b8a219cb796c78073995c4d675e","observation_id":"4c71cbcc-6c5b-4235-87ac-941eb5660170","resolution":{"observed_at":"2026-08-14T04:21:32.554762Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.10056","last_updated":"2026-08-10T17:59:15Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-16T22:21:01.160667Z","submitted_at":"2026-08-10T17:59:15Z","title":"Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds"},"reference_resolution":{"displayed":37,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":18,"verified_exact":1,"verified_fuzzy":18},"total_outbound_references":37},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2608.10056."}