{"as_of":"2026-08-13T10:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:862a9bc0af43f133566e89e06683f11f4afccda300b495ec5e54d5c84443f585","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T00:04:40.904639Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2502.03974/citation-record","integrity":"/paper/2502.03974/integrity","json":"/paper/2502.03974/citation-record.json","paper":"/paper/2502.03974"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"7531.2019","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.097338Z","title":"Novel Pure-Pursuit Trajectory Following Approaches and their Practical Applications [Z]","venue":null,"work_id":"a7c30c25-4781-43da-9065-a30ec4485c5b","year":2019},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.751167Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:7679f35c64e37e87186791a6ad0da9ac08a52ee9cde46dc1484bad362d54c64e","observation_id":"93c8f47c-4743-4e0f-8dd1-457cca2c8d52","resolution":{"observed_at":"2026-08-09T00:05:11.108484Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.577643Z","title":"Vehicle Path Tracking Control Using Pure Pursuit With MPC -Based Look -Ahead Distance Optimization [J]","venue":null,"work_id":"17e70999-441e-48b9-8231-38627f9e659e","year":2024},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.756947Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:7b13f87975966d4984c221ad8e8e782b9630da14a09c5c7f034ca5a8a62ce5a7","observation_id":"5b965f35-18f6-4345-88ab-c2e87b188ec0","resolution":{"observed_at":"2026-08-09T00:05:11.582243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.562471Z","title":"Pragmatic and effective enhancements for Stanley Path -tracking controller by considering system delay [J]","venue":null,"work_id":"ea61a5a3-98f6-424b-97b4-d35e2d3e1f3e","year":2023},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.761479Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:31afaba3b2a853e957207ddf40116097f566f6ba5611b45f26b67f6d94eb97f4","observation_id":"590c1903-16de-4d67-a34b-9ba748d4b5ab","resolution":{"observed_at":"2026-08-09T00:05:11.567462Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.547287Z","title":"Adaptive Stanley Control Method Based on Dynamic Window Approach; proceedings of the IECON 2023 -49th Annual Conference of the IEEE Industrial Electronics Society, F, 2023 [C]","venue":null,"work_id":"5a7da492-a0ab-40eb-94c9-2727e4ce48e3","year":2023},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.766175Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:3a142ba373eae7077d5a04bc68520c69660cb69cf54bdf503d9dc145fad929f4","observation_id":"2a7b2268-dbd3-4a36-805c-b607e7775f9c","resolution":{"observed_at":"2026-08-09T00:05:11.552221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.532119Z","title":null,"venue":null,"work_id":"86cde16b-10c6-4dc2-8dcb-eb3ea6b0cb69","year":2023},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.771120Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:198debcc9907b5e89ccf86a6b055496e7b6091fe5ebe189fe7b776bf190768ec","observation_id":"4ef6111c-897c-482f-8762-76464318afae","resolution":{"observed_at":"2026-08-09T00:05:11.537153Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.517039Z","title":"A path-tracking algorithm using predictive Stanley lateral controller [J]","venue":null,"work_id":"0f50ef61-c3ce-4d4e-98a7-5036bd86136f","year":2020},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.775812Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:96e77b54e62ec0bfc1cd2a8a023f610f9f4f45adb8019282f6d6cb35d068d25c","observation_id":"e14b18b4-8d93-4a8f-8fd7-d6176186b947","resolution":{"observed_at":"2026-08-09T00:05:11.521803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.501439Z","title":"Model Prediction Control Path Tracking Algorithm Based on Adaptive Stanley; proceedings of the 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), F 26-29 Sept","venue":null,"work_id":"24d65b52-0524-43b9-9bbe-9ef73f0adf31","year":2022},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.781201Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:ebedf1c8d61f0657170cdb7e7e5fa441bea17802e0f0b3cd4c1ef7b88eb7f468","observation_id":"2be55d03-302b-4d76-9065-307107bb4998","resolution":{"observed_at":"2026-08-09T00:05:11.506150Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.486405Z","title":"A new fuzzy PID control system based on fuzzy PID controller and fuzzy control process [J]","venue":null,"work_id":"a1fad58d-d52c-4009-8d98-c1c6ea939425","year":2020},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.786052Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:d5181921acd4002c094ffc2c125efbf97d785fcf68762e4ddfdb6c65801ef43a","observation_id":"94310ffd-9a17-4af3-9098-b9e54e609fff","resolution":{"observed_at":"2026-08-09T00:05:11.491564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.470084Z","title":"Intelligent vehicle path tracking control based on improved MPC and hybrid PID [J]","venue":null,"work_id":"673c87d1-6089-4836-933a-8af977240aba","year":2022},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.790609Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:ef0443761ca266fb83cab3ed85664dfaa17e66259c120fbcb7d984d10d7c0fa4","observation_id":"5f55ab4c-be05-466f-9aaf-8b056baec9c2","resolution":{"observed_at":"2026-08-09T00:05:11.475849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.455477Z","title":"Intelligent vehicle lateral control strategy research based on feedforward+ predictive LQR algorithm with GA optimisation and PID compensation [J]","venue":null,"work_id":"b763458a-d196-4242-a1bd-9315eeedd8be","year":2024},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.795393Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:7aaee5bc9d09597692129075d0dbd4cfeb7336ca397a66160602be351d6b5203","observation_id":"f366f916-b3db-42cd-8217-018bc4a7e7ca","resolution":{"observed_at":"2026-08-09T00:05:11.460136Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.441474Z","title":"Comparison of Linear Quadratic –Regulator and Gaussian – Controllers’ Performance, LQR and LQG: Ball -on-Sphere System as a Case Study [J]","venue":null,"work_id":"6018968c-aade-4841-a67c-580acc4ce8f2","year":2021},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.800068Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:9558575de618400c94e46138d69f83254b91f8abbe8b6c4e43d0341157123012","observation_id":"5bba227d-5266-4851-8ae8-295789aa5e6d","resolution":{"observed_at":"2026-08-09T00:05:11.445917Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.426686Z","title":"Improved LQR control using PSO optimization and Kalman filter estimator [J]","venue":null,"work_id":"fa738cb6-7271-43f6-9284-23063620523b","year":2022},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.804801Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:f701441db152788386f3cc45399e750046a6081990980f1e74cd5e783f36f9ea","observation_id":"b4385c75-87ae-4f1c-b5e8-377d07b14d13","resolution":{"observed_at":"2026-08-09T00:05:11.431642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.411926Z","title":"An Improvement in LQR Controller Design based on Modified Chaotic Particle Swarm Optimization and Model Order Reduction [J]","venue":null,"work_id":"8682ec53-13b9-48bb-9d5a-fb53753fd6b9","year":2021},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.810167Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:7a1dd5a224bd6a07349b5c2289d9eecccc0bb771515d80af2d199a52124f43ca","observation_id":"3068d815-d956-4010-9907-4721f55ad8ba","resolution":{"observed_at":"2026-08-09T00:05:11.416687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.397589Z","title":"Automatic parking trajectory tracking control strategy on LQR and PID; proceedings of the E3S Web of Conferences, F, 2022 [C]","venue":null,"work_id":"7b7e1739-8f24-4e89-bb34-8092dc527d73","year":2022},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.814960Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:ecfc133afa65fbb71ab4c4e987444da4ac7569b3f3ecc5bb71ad4c46a81390c3","observation_id":"15f860b9-a005-480e-bbf1-1e416c08bf55","resolution":{"observed_at":"2026-08-09T00:05:11.402039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.383248Z","title":"Tracking control of intelligent vehicle lane change based on RLMPC; proceedings of the E3S Web of Conferences, F, 2021 [C]","venue":null,"work_id":"42eca346-fa19-4275-81ad-894f3d717aff","year":2021},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.819622Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:d7b26860f0bbacd016803770e65a0e3ccf5d218437fe2ec001bab49625b6e3f2","observation_id":"34146cdc-e534-4b38-ada8-fe378eb2489d","resolution":{"observed_at":"2026-08-09T00:05:11.387948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.369144Z","title":null,"venue":null,"work_id":"8513266a-118e-4f12-afac-0572f91ecdc7","year":2021},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.824418Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:6826c863ccb160d20b7617e434d1f9d611e323034b4d8981bd3612a19650fbe8","observation_id":"3c01f4c3-f749-45d9-8361-4508707932ef","resolution":{"observed_at":"2026-08-09T00:05:11.373769Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.354503Z","title":"ROS -based trajectory tracking control for autonomous tracked vehicle using optimized backstepping and sliding mode control [J]","venue":null,"work_id":"1d51cc9d-0778-43ed-bcc0-f451326cc44b","year":2022},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.828701Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:0d4553b9105255b99bc4f5744b30cb5414568886c84f63f2568673a0982116af","observation_id":"3f7d1379-16ea-43c3-b29b-ffc5a1e19111","resolution":{"observed_at":"2026-08-09T00:05:11.359415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.340442Z","title":"Improved ADRC -Based Autonomous Vehicle Path -Tracking Control Study Considering Lateral Stability [J]","venue":null,"work_id":"f7b3111e-5b82-4d6f-b137-6f04a0d9d046","year":2022},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.833266Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:075323ff21869926033db90b1ee9d3c91ff71d29ecffbdf6bc45d5d6ab2e8a5a","observation_id":"884b1165-4e43-4610-a3e8-39bc0603105e","resolution":{"observed_at":"2026-08-09T00:05:11.345151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.326606Z","title":"A Rule -Based Cooperative Merging Strategy for Connected and Automated Vehicles [J]","venue":null,"work_id":"32d5d7c4-880c-442b-8002-c3d26db800d6","year":2020},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.837445Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:6bfd6c207b8804e9d41057a5a230992a63200906cffe058eef854925dd82cea2","observation_id":"55519c9f-75e1-4641-bc35-e3f5e3c66dd4","resolution":{"observed_at":"2026-08-09T00:05:11.331013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.312338Z","title":"An Integrated Approach to Optimal Merging Sequence Generation and Trajectory Planning of Connected Automated Vehicles for Freeway On - Ramp Merging Sections [J]","venue":null,"work_id":"42ebb346-0bfe-4fcf-9d4e-85af3a320d61","year":2024},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.841520Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:b6236e72dd73bc17cb3ff29d8f6163e71da774486f8cf82633d202ea1d29c708","observation_id":"68043e13-eb53-44b8-9871-5ac079f2cd31","resolution":{"observed_at":"2026-08-09T00:05:11.316956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.297387Z","title":"Cooperative Game Approach to Optimal Merging Sequence and on -Ramp Merging Control of Connected and Automated Vehicles [J]","venue":null,"work_id":"b2efa117-4bc6-4bf6-a0ef-15cd87e4fc45","year":2019},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.845884Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:6c1789ae9f0ad6ce98eb43dd14d67085175375ef1a4d3b20d36fa194378724f0","observation_id":"b97a94c5-2287-40f1-a13e-9e507172d6b9","resolution":{"observed_at":"2026-08-09T00:05:11.302016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.282226Z","title":"Cooperative Ramp Merging Strategy at Multi-Lane Area for Automated Vehicles [J]","venue":null,"work_id":"79936269-6ab1-4668-9bf8-d4d459ef6778","year":2024},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.850517Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:8b87d2c26b4d09de28cf718650a9fead6f490cfb4dfa63325700a7fa2e4f54ee","observation_id":"5d79d4fa-a137-4f9a-a3a8-933d3f34765b","resolution":{"observed_at":"2026-08-09T00:05:11.286816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.266880Z","title":"Integrated Longitudinal and Lateral Hierarchical Control of Cooperative Merging of Connected and Automated Vehicles at On -Ramps [J]","venue":null,"work_id":"98363ee3-6c64-4d19-9b1c-79cb93084aa6","year":2022},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.855558Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:bfb491e44d14908d6bc9f8a58d6776fa33c3305af30b8c1ceda77858a45ead8a","observation_id":"96147396-ee39-4033-8ccf-3cd30be8913e","resolution":{"observed_at":"2026-08-09T00:05:11.272013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.250153Z","title":"A novel hierarchical cooperative merging control model of connected and automated vehicles featuring flexible merging positions in system optimization [J]","venue":null,"work_id":"6495d9ea-b5de-4dd2-a5ec-f1a7a694355c","year":2022},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.860643Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:4c644262ef994eb58dc8c21fc8d469db0e99dbe981648396cf0841a13e7ced4c","observation_id":"f40d2b73-7ca0-49f8-9446-bb44bf113651","resolution":{"observed_at":"2026-08-09T00:05:11.255533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.234040Z","title":"A Hierarchical Model-Based Optimization Control Approach for Cooperative Merging by Connected Automated Vehicles [J]","venue":null,"work_id":"96493bea-201c-44ba-91fd-af41f22bf707","year":2021},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.865456Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:04b69a17d3401fe6e7b6e2a5ff86242def0fcef4450dbce7bda4ba9595cfbbd3","observation_id":"906ae423-7eff-4c31-8534-022152452b65","resolution":{"observed_at":"2026-08-09T00:05:11.239914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.218671Z","title":"Safety -Critical and Flexible Cooperative On-Ramp Merging Control of Connected and Automated Vehicles in Mixed Traffic [J]","venue":null,"work_id":"a0972266-2d21-4b7d-b1d4-8c6e3d85b459","year":2023},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.870089Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:1c5be53357695ea48e4130ad4e1621e0b4b78545bf46be5b7035b263c362361b","observation_id":"f4a8af1f-a30d-4647-89cd-935a2fbd28e1","resolution":{"observed_at":"2026-08-09T00:05:11.223619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.201669Z","title":"Deep reinforcement learning algorithm based ramp merging decision model [J]","venue":null,"work_id":"d902d758-df63-4ebb-83c1-6796782b6769","year":2024},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.874524Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:a7e70effa279fb3c3c3b4bde45896c12a99185da36a67b3208d3c0a63c959c91","observation_id":"f3e5d7d6-cd24-42fb-8b80-4694c27a2bba","resolution":{"observed_at":"2026-08-09T00:05:11.207236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:04:40.879286Z","title":"Cooperative On- Ramp Merging Control of Connected and Automated Vehicles: Distributed Multi- Agent Deep Reinforcement Learning Approach [Z]","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.879286Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:e91e127284a6b5bab981ab431dbed15109139842ecd5f093888ad5dd44eb9f65","observation_id":"5b0a7dcd-bef5-4e45-adfd-0fbe554b3002","resolution":{"observed_at":"2026-08-09T00:04:40.879286Z","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":"2026-08-09T00:05:11.183296Z","title":"High -Speed Ramp Merging Behavior Decision for Autonomous Vehicles Based on Multiagent Reinforcement Learning [J]","venue":null,"work_id":"606d1cd1-fff6-4bad-8bb0-7dca9f11f38a","year":2023},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.884949Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:5224cf0d70113a16e1a83152029b26665a2fea6594189000ffc814fd39237bfc","observation_id":"9b54dab5-d0b5-4f61-a89e-c61d7fa68b06","resolution":{"observed_at":"2026-08-09T00:05:11.189131Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.166880Z","title":"Preemptive Holistic Collaborative System and Its Application in Road Transportation","venue":null,"work_id":"5ecc4ae8-9edc-4e87-ae79-4f5cc1e8063a","year":2024},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.889894Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:09d7155c23dabcb37978ce3787c6b81b96a75ace22dd932ffa5d710d9237d67c","observation_id":"052cfec0-2e96-4471-b696-74573db20a9a","resolution":{"observed_at":"2026-08-09T00:05:11.171611Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.151414Z","title":"Holistic view of the road transportation system based on real -time data sharing mechanism","venue":null,"work_id":"e8dd1d4f-5f5a-41e2-a348-775ee116042c","year":2024},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.894779Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:2cf59bfa760642bd6860c54d1478e81a878a4d39846ada483329145d6a894352","observation_id":"e709efbe-a692-4cbb-87c8-d089ef5d5d97","resolution":{"observed_at":"2026-08-09T00:05:11.156401Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.134317Z","title":"Preemptive Conflict Resolution in Road Transport: A Holistic Approach for Enhancing Efficiency and Safety [M]","venue":null,"work_id":"aa3e47e0-a996-4a89-a66a-b78fffc035fe","year":2024},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.899640Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:d374e32eaf21273959a2684502ca776588e653d118a2472faf0ebe95b6686fc0","observation_id":"19d39600-3fcd-4f2d-95e9-d9839392ac59","resolution":{"observed_at":"2026-08-09T00:05:11.139303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:05:11.119015Z","title":"Optimizing Highway Ramp Merge Safety and Efficiency via Spatiotemporal Cooperative Control and Vehicle -Road Coordination [J]","venue":null,"work_id":"d7deb774-74dc-424e-8b98-80ee6aab4d55","year":2024},"citing_paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-09T00:04:40.904639Z"},"links":{"citing_paper":"/paper/2502.03974"},"observation_digest":"sha256:2157b43944527ebc7315e1f65747b8287fc3ab1c096b7f9626df347c729dafd2","observation_id":"5e70bc30-3ff9-48ac-ad99-81e890977f2b","resolution":{"observed_at":"2026-08-09T00:05:11.123808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.03974","last_updated":"2025-02-06T11:06:44Z","latest_version":1,"primary_category":"eess.SY","snapshot_observed_at":"2026-08-08T23:56:01.006574Z","submitted_at":"2025-02-06T11:06:44Z","title":"Spatiotemporal Trajectory Tracking Method for Vehicles Incorporating Lead-Lag Judgement"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":1,"verified_fuzzy":29},"total_outbound_references":33},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2502.03974."}