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Paper Citation Record · LEDGER

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice

As of 19 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 2 inbound Pith citation observations for arXiv:2411.15350.

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

pith.paper-citation-record.v1
2411.15350 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:28:01.745857Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:35:37.898188Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T19:28:09.755327Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy32
  • unresolved11
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0062b12e-50e8-4fc5-9821-2d9152cc5a99 · outbound

This paper cites Fastrack:a modular framework for real-time motion planning and guaranteed safe tracking,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Fastrack:a modular framework for real-time motion planning and guaranteed safe tracking,

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 60bfa8c0-9606-4aaa-ae72-c713c34e30d7 · outbound

This paper cites Multi-rate planning and control of uncertain nonlinear systems: Model predictive control and control lyapunov functions,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Multi-rate planning and control of uncertain nonlinear systems: Model predictive control and control lyapunov functions,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:02.192334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f9c204f8-6f40-4047-bebf-51dee40e1ddb · outbound

This paper cites Model-free safety-critical control for robotic systems,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Model-free safety-critical control for robotic systems,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:02.181936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.607988Z digest=sha256:91f724ef4846d4aae1ee449e4c5dce00279f2a019a84c991a14fd06af69cac38

Observation 9d4b5163-d265-41c1-9bfa-4e113ca4662e · outbound

This paper cites Safety-critical control for autonomous systems: Control barrier functions via reduced-order models,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Safety-critical control for autonomous systems: Control barrier functions via reduced-order models,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T14:28:01.612205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:28:01.612205Z digest=sha256:bc683c8501e4c065136fbfab9ec687737ddfb453e9b461773bea5acbc12b5919

Observation 08980c57-e7ed-4326-a3a8-1017921f2f8f · outbound

This paper cites Data-driven safety filters: Hamilton-jacobi reachability, control barrier functions, and predictive methods for uncertain systems,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Data-driven safety filters: Hamilton-jacobi reachability, control barrier functions, and predictive methods for uncertain systems,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T14:28:01.616113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:28:01.616113Z digest=sha256:d44daecf8169015d975c868dbe27841f4878082d047fe01c64825da7cfb1503e

Observation 8ff281c4-897c-4fc0-910b-45c251166286 · outbound

This paper cites Invariant funnels around trajectories using sum-of-squares programming,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Invariant funnels around trajectories using sum-of-squares programming,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:02.158204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.619939Z digest=sha256:b3e76d0da5befa41628361be6f4f8a5db624747980c190b4194bbeaea274bf3d

Observation de864c7c-33c4-4201-a9c8-2eb90d7dc7c6 · outbound

This paper cites Safe nonlinear control using robust neural lyapunov-barrier functions,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Safe nonlinear control using robust neural lyapunov-barrier functions,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:02.148117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.623644Z digest=sha256:ace3873e3e634e37f279256531f53ddcb377a4b0e90a9f7d8e31e8eb3668c9f3

Observation fe8ad51f-274d-47f7-9c79-ddb0f2207cf8 · outbound

This paper cites Deepreach: A deep learning approach to high-dimensional reachability,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Deepreach: A deep learning approach to high-dimensional reachability,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:02.137991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.626963Z digest=sha256:010c2c2b8209596df335a010d98e2a91991011c70eb212d4c5da9f2f0ef31218

Observation 345755a6-72ec-488d-b00c-a58f7b818a81 · outbound

This paper cites Hierarchical control system design using approximate simulation,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Hierarchical control system design using approximate simulation,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:02.127777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.630306Z digest=sha256:d23fe3f34857044ba0e38d2bd230f537ddda84cb897c77436d57d3bf48b415b0

Observation 586e0734-69fd-4008-b1f5-f846c178e02d · outbound

This paper cites Robust approximate simu- lation for hierarchical control of linear systems under disturbances,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Robust approximate simu- lation for hierarchical control of linear systems under disturbances,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:02.117051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.633491Z digest=sha256:01abe30013f01a683b740a07674ad420a472ba7160cea9ee278237cc0b0541d8

Observation 26833fe8-9b5b-4f99-bf62-dbef81fe2af1 · outbound

This paper cites Tube-certified trajectory tracking for nonlinear systems with robust control contraction metrics,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Tube-certified trajectory tracking for nonlinear systems with robust control contraction metrics,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:02.106581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.636771Z digest=sha256:8ca6ab480da5acea6b2ea94d6d1579585ce028ad570b28a58fdc92452c5f0f83

Observation 09bc9343-3075-4d00-9cc6-a16f5a69fe12 · outbound

This paper cites Robust model predictive control using tubes,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Robust model predictive control using tubes,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:02.096073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.640182Z digest=sha256:625d920ed9dc1ef4c34d08c0fdd634286a4d863ebf4506f37ae5a7d85107e9e8

Observation b872e81f-5853-44e5-a68e-d525f1416e6d · outbound

This paper cites A system level approach to tube-based model predictive control,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice A system level approach to tube-based model predictive control,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:02.085930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.643582Z digest=sha256:2fe7a10e58c47667ee65df270b341b9e32733fcd6fe16e322080896918c547f2

Observation 83a5bd08-18de-420c-b63a-acd93fe82367 · outbound

This paper cites Tube MPC via flatness for multicopter tra- jectory tracking,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Tube MPC via flatness for multicopter tra- jectory tracking,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:02.075913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a14a32a4-52a1-46a9-b58d-0583c3dbdf95 · outbound

This paper cites Design and flight experiments of a tube-based model predictive controller for the ar.drone 2.0 quadrotor,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Design and flight experiments of a tube-based model predictive controller for the ar.drone 2.0 quadrotor,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:02.065424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.649893Z digest=sha256:c878bc1bcf659132c047a30caeee0aa7cecfb5e5c9d436c08af54c99286dfe64

Observation 33988da4-898b-451d-adee-d97e64dbecd6 · outbound

This paper cites Planning, fast and slow: A framework for adaptive real-time safe trajectory planning,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Planning, fast and slow: A framework for adaptive real-time safe trajectory planning,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:02.054214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.653043Z digest=sha256:9cc613cb976e666b898267ae53031a382283433c5c11813437024cd2c46a3157

Observation d397fa41-8c33-4352-b20a-a7e7bd90c79a · outbound

This paper cites Dynamic tube mpc for nonlinear systems,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Dynamic tube mpc for nonlinear systems,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:02.042776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.656113Z digest=sha256:9cbc3b77c9aea9f6af0c2b1a846bb50cfc504940acc6502829fd2bd474d03b45

Observation 1e04368e-0845-4ea9-a1a2-72b5785b9f58 · outbound

This paper cites Deep learning tubes for tube mpc,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Deep learning tubes for tube mpc,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:02.032060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.659240Z digest=sha256:6ea5008e4c4b95d168c3010310a70709bc149bc26c1d710014c2b7f45c5ea620

Observation 7d0c98b8-100d-4db5-a032-c78e1bc0d688 · outbound

This paper cites Risk-aware motion planning and control using cvar-constrained optimization,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Risk-aware motion planning and control using cvar-constrained optimization,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:02.021553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.662393Z digest=sha256:b09c22645b6e41acba2c969f32b1d942d3d0914526c108dc7de61696111dbef0

Observation 41eba5d4-0291-41ff-ac0d-6506763d4190 · outbound

This paper cites Generative modeling of residuals for real-time risk-sensitive safety with discrete-time control barrier functions,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Generative modeling of residuals for real-time risk-sensitive safety with discrete-time control barrier functions,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:02.010061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.665696Z digest=sha256:cf70c17c14e6e83a999a30532a105eb3328f8e909629e1cdb4a98c309395bb4e

Observation 8375880b-c716-4330-a1ed-d0ae152b077a · outbound

This paper cites Regression quantiles,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Regression quantiles,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T14:28:01.668911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:28:01.668911Z digest=sha256:ff438f29e860dd470327433e95fe7956a1e6864c94536174e309e4a80f6a8067

Observation d9666147-da48-4af7-8036-dbc2f528be79 · outbound

This paper cites Nonlinear model predictive control with explicit back-offs for gaussian process state space models,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Nonlinear model predictive control with explicit back-offs for gaussian process state space models,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:01.993033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.672232Z digest=sha256:2fd684a4466af58b16d531d51e39c1f577618febf9d6d7c2130ec58bd4fde282

Observation 1691c557-88c5-45e7-9af3-43a08f68619f · outbound

This paper cites Adaptive mpc under time varying uncertainty: Robust and stochastic,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Adaptive mpc under time varying uncertainty: Robust and stochastic,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:01.980936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.675318Z digest=sha256:6deabac3d0287e1aa39c14a3ac9f904d655e893b73e77343b81529ff2359f2fc

Observation 7cc21c3e-1db1-4467-9798-fdcc88f90216 · outbound

This paper cites Champion-level drone racing using deep reinforce- ment learning,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Champion-level drone racing using deep reinforce- ment learning,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:01.969386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.678502Z digest=sha256:cc7a96642e00509f0343275a3702f083c037cd7ba24ef30f5da4806cc10f2415

Observation 2686bb93-e75b-4abf-ae57-fcd8630abf4f · outbound

This paper cites Learning to walk in minutes using massively parallel deep reinforcement learning,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Learning to walk in minutes using massively parallel deep reinforcement learning,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:01.957575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.681630Z digest=sha256:a78332fb8d327b0e8f50f6db6ca7716aa503a446f9aa720172530fe1c35e0c97

Observation 81f0c826-23aa-43eb-8c81-8bf49382af65 · outbound

This paper cites Berkeley Humanoid: A Research Platform for Learning-based Control.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Berkeley Humanoid: A Research Platform for Learning-based Control

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T14:28:01.685078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:28:01.685078Z digest=sha256:d49b32ac62488222f47415e171f54edd9afd0091544a344a2ff814bb2f460cb1

Observation 6138e655-68b8-4906-b2eb-436e6547fd70 · outbound

This paper cites Sampling-based Model Predictive Control Leveraging Parallelizable Physics Simulations.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Sampling-based Model Predictive Control Leveraging Parallelizable Physics Simulations

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T14:28:01.688848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:28:01.688848Z digest=sha256:3ee18c1534d811b959f751898040e434d840d13f62c01865fe462e52de02da4b

Observation a57f7e29-de1f-4838-8a07-7ed49d7a4b5b · outbound

This paper cites Neural lyapunov control,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Neural lyapunov control,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T14:28:01.692862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:28:01.692862Z digest=sha256:af5debcfb858b433be3beb63ff5c1621dcfcdb7945f3badafa71e8b6dcb92223

Observation 6cd88059-5056-4586-a092-4275d6c4f9ab · outbound

This paper cites Safety certification for stochastic systems via neural barrier functions,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Safety certification for stochastic systems via neural barrier functions,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:01.939516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.696266Z digest=sha256:a8acf15f60fd4f228af562ae6703f20747109547a4c2e57a65d63b266037f2a8

Observation b14de6c1-e5dd-44bc-8ebe-6f2c089ff88f · outbound

This paper cites Constructive nonlinear control of underactuated systems via zero dynamics policies,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Constructive nonlinear control of underactuated systems via zero dynamics policies,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:01.927998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.699937Z digest=sha256:86b825ee6a9da1bd87f160febe47b2899f0fa4ca28bead33f49ffdb60ee4f9b6

Observation 3254219d-efba-4232-9d55-15f97f47ac32 · outbound

This paper cites Robust sampling based model predictive control with sparse objective information,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Robust sampling based model predictive control with sparse objective information,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:01.916817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.703578Z digest=sha256:fda7b8ede4a05729916df983c7a7a42c410670d3633a32e3cb3cf892cef599db

Observation 3982f670-97bc-49b9-8a1a-3bb3d46abb80 · outbound

This paper cites Robust Agility via Learned Zero Dynamics Policies.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Robust Agility via Learned Zero Dynamics Policies

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T14:28:01.706970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:28:01.706970Z digest=sha256:f50dd6efad560d060e588b314014e781b9137514615d570d292ca3bed9fabc7e

Observation 0af4f803-ef5d-4cfa-ba30-a7e9d67a3f15 · outbound

This paper cites Nonlinear model predictive control of a 3d hopping robot: Leveraging lie group integrators for dynamically stable behaviors,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Nonlinear model predictive control of a 3d hopping robot: Leveraging lie group integrators for dynamically stable behaviors,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:01.905162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.711164Z digest=sha256:31b1e535d5b19d0d5b1ff314c7039c9bbf3be424536be22af2a7423605d5085d

Observation 430983bb-0ae0-4933-b7f1-8d6faa5a8163 · outbound

This paper cites Experiments in balance with a 3d one-legged hopping machine,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Experiments in balance with a 3d one-legged hopping machine,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:01.893350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.714558Z digest=sha256:6b3db1ca30bf49cc2b73262b542a288028dca0b8767e657069ce7c0810438845

Observation 77b51f07-4209-4b85-8995-392485e1f03a · outbound

This paper cites Learing tubes mpc code,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Learing tubes mpc code,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:01.882174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.717774Z digest=sha256:1058b8e1c8e062c99a32af2a21670a6edc9586dbc8c3c93c59b49c21c525026a

Observation cb2aa618-3b1c-4965-aa1a-f50fefa9dfbc · outbound

This paper cites Robust estimation of a location parameter,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Robust estimation of a location parameter,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T14:28:01.721384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:28:01.721384Z digest=sha256:795d4a92a4db0ca3cb8cae69a1dabeb46fef800fc1ed5e28125942385449a2e8

Observation 38055877-2661-4da6-b6d9-ad93defccbab · outbound

This paper cites Isaac gym: High performance gpu based physics simu-lation for robot learning,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Isaac gym: High performance gpu based physics simu-lation for robot learning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:01.864881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.724766Z digest=sha256:657af95edc49a1b4c8db7eb7a43ba4ae86d3ac17bc9d11707330ce8071799cf1

Observation 57f60d7c-3a45-4a2e-8c86-50991ccaa96b · outbound

This paper cites Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T14:28:01.728234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:28:01.728234Z digest=sha256:928bdd20ffe7a739668550a97091b1704843bef7bd5651b8d15db7b1136e8786

Observation e40ca65b-5eea-47f4-85a6-b5397879f1f5 · outbound

This paper cites Automatic differen- tiation in pytorch,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Automatic differen- tiation in pytorch,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:01.854237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.731980Z digest=sha256:b9c8ad58499a607dd6b33fdd7eada53adf6324c9fa68e75bb2a7478c8d564b60

Observation 4d622caa-e18d-4b79-9ad7-186a7fccce26 · outbound

This paper cites CasADi – A software framework for nonlinear optimization and optimal control,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice CasADi – A software framework for nonlinear optimization and optimal control,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T14:28:01.735380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:28:01.735380Z digest=sha256:4bbf9c9440a081d9aff619e9ac4e3c187536c6468674f2a873569a9c7ad56f3f

Observation 884a47a6-9b49-420a-a0a6-147ec1afa83c · outbound

This paper cites Snopt: An sqp algorithm for large-scale constrained optimization,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Snopt: An sqp algorithm for large-scale constrained optimization,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T14:28:01.738813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:28:01.738813Z digest=sha256:63d61d04de3e7e5e2a85a87e32443a806805c47dfbcc4414315137ebcc341912

Observation 517ddfc3-5fac-44f6-acdb-e6d4fa21ffa6 · outbound

This paper cites Real-time neural-mpc: Deep learning model predictive control for quadrotors and agile robotic platforms,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Real-time neural-mpc: Deep learning model predictive control for quadrotors and agile robotic platforms,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:01.830922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.742405Z digest=sha256:fb35325d156696c8ed15dca2aaa9084d6b264fd8499d7135b30d3c801402ed0a

Observation bef69cf4-0b5f-4bf9-ac07-117b7cd63705 · outbound

This paper cites Learning for casadi: Data-driven models in numerical optimization,.

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice Learning for casadi: Data-driven models in numerical optimization,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:28:01.819931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:28:01.745857Z digest=sha256:c5a9580059318d4b91e12cc3a1c15a688925e3862bf733cf4f4033797ffb1e26

Pith citing papers

Observation e8c4a009-6ddd-424f-86ac-3633ac053f9b · inbound

On ANN-enhanced positive invariance for nonlinear flat systems cites this paper.

On ANN-enhanced positive invariance for nonlinear flat systems Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:28:09.757292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-13T19:26:40.986364Z digest=sha256:75908f33c07d7892c07725a828190585fa50e7bdfb622e3e0a4e8932ec484a0b

Observation a18966c4-077b-40cc-9ce5-54a1ceaa4e6c · inbound

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC cites this paper.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T22:35:37.898188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:35:37.898188Z digest=sha256:aac2019a969a8673b7808e518b809715f7a835c2a95f99f7ef169849697b5490