Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:19:11.416120Z
Paper Citation Record · LEDGER
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles
As of 22 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2505.07855.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
25 of 25 outbound references displayed
- verified exact0
- verified fuzzy23
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4effe293-1a2f-425f-9226-2869f5fa401c · outbound
This paper cites Fail-safe motion planning of autonomous vehicles,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles Fail-safe motion planning of autonomous vehicles,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.738091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f788491a-0cfc-4990-9b1d-898ad7cfe58b · outbound
This paper cites A dynamic motion planning framework for autonomous driving in urban environments,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles A dynamic motion planning framework for autonomous driving in urban environments,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.726967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 12d0ccd3-d9a2-4b3f-881e-5c6fe05168c0 · outbound
This paper cites Occupancy Grids: A Stochastic Spatial Representation for Active Robot Perception.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles Occupancy Grids: A Stochastic Spatial Representation for Active Robot Perception
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:19:11.337551Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56c554d6-b490-4fde-bc98-22842072c15f · outbound
This paper cites From probabilistic occupancy grids to versatile collision avoidance using predictive collision detection,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles From probabilistic occupancy grids to versatile collision avoidance using predictive collision detection,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.715988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e7b0a4b3-9b83-44e2-9c7e-2f7350a4a751 · outbound
This paper cites Bayesian occupancy grid mapping via an exact inverse sensor model,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles Bayesian occupancy grid mapping via an exact inverse sensor model,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.704684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 048b4f49-a3b7-44e3-b06a-f0e3eaa5ff03 · outbound
This paper cites Bayesian learning of occupancy grids,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles Bayesian learning of occupancy grids,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.692853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 69315dca-6757-4ad0-af92-1e4ea03fffae · outbound
This paper cites Transitional grid maps: Joint modeling of static and dynamic oc- cupancy,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles Transitional grid maps: Joint modeling of static and dynamic oc- cupancy,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.681693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f6b95f65-d327-4543-acc8-d17235381bda · outbound
This paper cites A random finite set approach for dynamic occu- pancy grid maps with real-time application,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles A random finite set approach for dynamic occu- pancy grid maps with real-time application,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.669898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6daba1ba-03f2-4da4-9f07-7ab2d7d015be · outbound
This paper cites A hybrid rule-based and data-driven approach to driver modeling through particle filtering,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles A hybrid rule-based and data-driven approach to driver modeling through particle filtering,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.657094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 84fad2f3-25db-4aef-b9c5-c742c17000df · outbound
This paper cites A multi- task recurrent neural network for end-to-end dynamic occupancy grid mapping,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles A multi- task recurrent neural network for end-to-end dynamic occupancy grid mapping,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.645537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5a2560b7-e3db-4541-9aee-b8bf1af6780e · outbound
This paper cites Dynamic occupancy grid prediction for urban autonomous driving: A deep learning approach with fully automatic labeling,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles Dynamic occupancy grid prediction for urban autonomous driving: A deep learning approach with fully automatic labeling,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.633550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9a6fff73-0c63-4064-893e-db01bd744065 · outbound
This paper cites Traffic scene prediction via deep learning: Introduction of multi-channel occupancy grid map as a scene representation,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles Traffic scene prediction via deep learning: Introduction of multi-channel occupancy grid map as a scene representation,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.621668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bbdc87c0-bf08-43af-8883-868527b9742a · outbound
This paper cites Mixnet: Physics constrained deep neural motion prediction for autonomous racing,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles Mixnet: Physics constrained deep neural motion prediction for autonomous racing,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.606948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ac52bb2d-e02f-4991-ad1e-e9287a2fd0dc · outbound
This paper cites Enhance planning with physics-informed safety controller for end-to-end autonomous driving,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles Enhance planning with physics-informed safety controller for end-to-end autonomous driving,
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:19:11.377721Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79da3c7e-68a3-4fe7-987f-f13052cb34ca · outbound
This paper cites Robust environment perception based on occupancy grid maps for autonomous vehicle,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles Robust environment perception based on occupancy grid maps for autonomous vehicle,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.584860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 85db1ca0-469a-409a-9288-daafb3863f74 · outbound
This paper cites Modern map inference methods for accurate and fast occupancy grid mapping on higher order factor graphs,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles Modern map inference methods for accurate and fast occupancy grid mapping on higher order factor graphs,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.573825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ddca3609-3e76-45ad-a000-ac05953de5c2 · outbound
This paper cites Semantic scene completion from a single depth image,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles Semantic scene completion from a single depth image,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.562631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c22e925a-f90d-4770-a4eb-55d0afaa498e · outbound
This paper cites Ofmpnet: Deep end-to-end model for oc- cupancy and flow prediction in urban environment,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles Ofmpnet: Deep end-to-end model for oc- cupancy and flow prediction in urban environment,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.551202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1b8416ad-9521-462b-903b-d708957f3846 · outbound
This paper cites Physics- informed trajectory prediction for autonomous driving under missing observation,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles Physics- informed trajectory prediction for autonomous driving under missing observation,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.539659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f85bbb8c-3d65-402e-acd9-61d3ce7f9c88 · outbound
This paper cites Occupancy prediction-guided neural planner for autonomous driving,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles Occupancy prediction-guided neural planner for autonomous driving,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.526349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6b01e0db-0d66-43b1-a7b8-bee6abfa84e1 · outbound
This paper cites Occupancy flow fields for motion forecasting in autonomous driving,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles Occupancy flow fields for motion forecasting in autonomous driving,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.513572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 538cb0cd-3b29-4914-9d73-711ddc51571f · outbound
This paper cites Road traffic safety assessment in self-driving vehicles based on time-to- collision with motion orientation,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles Road traffic safety assessment in self-driving vehicles based on time-to- collision with motion orientation,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.501274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 67e2f3d7-71a4-4465-a9a4-5d394038d856 · outbound
This paper cites A literature review of performance metrics of automated driving systems for on-road vehicles,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles A literature review of performance metrics of automated driving systems for on-road vehicles,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.489068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b65e0549-04eb-455d-ab3c-b5cff1eedd66 · outbound
This paper cites Jerk-minimized autonomous driving strategy with deep reinforcement learning.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles Jerk-minimized autonomous driving strategy with deep reinforcement learning
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.477053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5cc4da3a-57a1-49c7-a2e9-533db04f9412 · outbound
This paper cites Reassess- ing desired time headway as a measure of car-following capability: Definition, quantification, and associated factors,.
A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles Reassess- ing desired time headway as a measure of car-following capability: Definition, quantification, and associated factors,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:19:11.463810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.