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Paper Citation Record · LEDGER

AnyCar to Anywhere: Learning Universal Dynamics Model for Agile and Adaptive Mobility

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.15783.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2409.15783 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:30:22.468343Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T16:04:52.948250Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a9844eb1-b614-4cf3-974a-08f244741919 · inbound

YOPO-Rally: A Sim-to-Real Single-Stage Planner for Off-Road Terrain cites this paper.

YOPO-Rally: A Sim-to-Real Single-Stage Planner for Off-Road Terrain AnyCar to Anywhere: Learning Universal Dynamics Model for Agile and Adaptive Mobility

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T14:30:22.468343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:30:22.468343Z digest=sha256:f2ae58f6c08b8a3c2d4f6dd23198716e4f0df50b62f74753d2aded505c5959fd

Observation a4f67c63-6e95-4963-a95b-f59a11ce5455 · inbound

R-CARLA: High-Fidelity Sensor Simulations with Interchangeable Dynamics for Autonomous Racing cites this paper.

R-CARLA: High-Fidelity Sensor Simulations with Interchangeable Dynamics for Autonomous Racing AnyCar to Anywhere: Learning Universal Dynamics Model for Agile and Adaptive Mobility

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T04:48:14.544794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:48:14.544794Z digest=sha256:c01b9a99bd12dc4d08a83ba255c3904e689476776c95ce4b62fede0863be35f5

Observation b382b8aa-0bb6-4513-b4e6-5e2692a0e097 · inbound

Beyond Constant Parameters: Hyper Prediction Models and HyperMPC cites this paper.

Beyond Constant Parameters: Hyper Prediction Models and HyperMPC AnyCar to Anywhere: Learning Universal Dynamics Model for Agile and Adaptive Mobility

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T22:55:44.416337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:55:44.416337Z digest=sha256:824b37a20500c202e2ca2bb816583e8a1f1a049888cd8f9022286f6e14a9b8c9

Observation 83c502b6-3624-496e-ab81-3e1398379c06 · inbound

Balancing Accuracy and Efficiency: Adaptive Dynamics Orchestration for Model Predictive Control cites this paper.

Balancing Accuracy and Efficiency: Adaptive Dynamics Orchestration for Model Predictive Control AnyCar to Anywhere: Learning Universal Dynamics Model for Agile and Adaptive Mobility

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:04:52.949704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T16:00:43.231910Z digest=sha256:5848fc73eaa6340ff700698f8d57afb79c88a07c3982404c06903a92c2872b4a

Observation d8fcf06d-cc73-4623-8709-32e203c52351 · inbound

Adapting Generalist Vehicle Models for High-Speed MPC Across Terrains cites this paper.

Adapting Generalist Vehicle Models for High-Speed MPC Across Terrains AnyCar to Anywhere: Learning Universal Dynamics Model for Agile and Adaptive Mobility

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T05:33:56.455480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:33:56.455480Z digest=sha256:67f8203f40c1d7c1248e4fbb3158bf99ba512986dfbfdb100793f5db1d8c74d4