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Paper Citation Record · LEDGER

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics

As of 16 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 2 inbound Pith citation observations for arXiv:2412.09584.

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

pith.paper-citation-record.v1
2412.09584 v3

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:57:34.280379Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T22:10:50.600849Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:13:59.872724Z

Reference resolution

76 of 76 outbound references displayed

  • verified exact4
  • verified fuzzy42
  • unresolved29
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ff5cd90-e025-4f27-9dc9-a360bcdf933d · outbound

This paper cites write newline.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics write newline

Reference 1

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Source-reported events for the cited work

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Observation 0d0d13f7-473c-46d2-aea1-5495d0fb196e · outbound

This paper cites Learning to Poke by Poking: Experiential Learning of Intuitive Physics.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Learning to Poke by Poking: Experiential Learning of Intuitive Physics

Reference 2

Resolution
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Source-reported events for the cited work

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Observation 4ce70902-5d8a-439e-9f8f-40503af4816b · outbound

This paper cites Strong mixed-integer programming formulations for trained neural networks.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Strong mixed-integer programming formulations for trained neural networks

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2159f7be-f093-4224-bcfb-200a6f1e5c59 · outbound

This paper cites The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e6186322-5f87-423b-b26d-0353fbd69e3e · outbound

This paper cites Interaction networks for learning about objects, relations and physics.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Interaction networks for learning about objects, relations and physics

Reference 5

Resolution
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Source-reported events for the cited work

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Observation 6d4ab69d-9e8e-411e-9bea-e6c4a3f75ac1 · outbound

This paper cites an unresolved cited work.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b866cf38-1c76-46ba-be43-15267e6afb67 · outbound

This paper cites an unresolved cited work.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Unresolved cited work

Reference 7

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Source-reported events for the cited work

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Observation b27cdb1a-8367-465d-97a0-bbe3b9357f60 · outbound

This paper cites an unresolved cited work.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Unresolved cited work

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 307bcbd4-c49e-4c00-82a5-4116d646d632 · outbound

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BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f77f3097-c418-4be0-a257-73050d15a4b1 · outbound

This paper cites Model Predictive Control.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Model Predictive Control

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ad66ddba-b4cd-4368-af0c-dedda126099b · outbound

This paper cites an unresolved cited work.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Unresolved cited work

Reference 11

Resolution
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Source-reported events for the cited work

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Observation ad9e6d37-2f7a-4165-b3af-1baee465b232 · outbound

This paper cites Learning multi-object dynamics with compositional neural radiance fields.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Learning multi-object dynamics with compositional neural radiance fields

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bc2009e3-b14f-416d-be03-e3a90668685c · outbound

This paper cites Self-supervised visual planning with temporal skip connections.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Self-supervised visual planning with temporal skip connections

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b6afa201-918d-443b-adeb-28534bd4142d · outbound

This paper cites Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1c70ecc1-4a03-4036-b47f-8f04b190b188 · outbound

This paper cites Zico Kolter Eric Wong.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Zico Kolter Eric Wong

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 076d0aba-ffd1-4872-8f59-fa2e7275a2cb · outbound

This paper cites Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9b041906-bdb6-454e-adc2-dfdb5b818477 · outbound

This paper cites Deep visual foresight for planning robot motion.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Deep visual foresight for planning robot motion

Reference 17

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bf9e586a-0771-4565-b8f3-93650911ccc8 · outbound

This paper cites Unsupervised Learning for Physical Interaction through Video Prediction.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Unsupervised Learning for Physical Interaction through Video Prediction

Reference 18

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4687bcb2-8b64-40a6-8ddc-7fa75281c23b · outbound

This paper cites On the effectiveness of interval bound propagation for training verifiably robust models.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics On the effectiveness of interval bound propagation for training verifiably robust models

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 99b06a9c-3f9f-4e44-af2b-2b0aac78e972 · outbound

This paper cites Towards Tight Convex Relaxations for Contact-Rich Manipulation.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Towards Tight Convex Relaxations for Contact-Rich Manipulation

Reference 20

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 709e7e81-5aef-44c1-9cfd-450bb0abc55d · outbound

This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Dream to Control: Learning Behaviors by Latent Imagination

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3a5ab64d-3f90-4703-99b6-adaa6827c3f9 · outbound

This paper cites Learning latent dynamics for planning from pixels.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Learning latent dynamics for planning from pixels

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4199a90b-73eb-4951-accf-2eddec374fbf · outbound

This paper cites Learning latent dynamics for planning from pixels.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Learning latent dynamics for planning from pixels

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6622dd3b-1b22-4b6b-9a94-969d720447b2 · outbound

This paper cites Model predictive control for aggressive driving over uneven terrain, 2024.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Model predictive control for aggressive driving over uneven terrain, 2024

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9146bfbc-26b8-42f5-b3ef-6a1297e05400 · outbound

This paper cites Real-time safe control of neural network dynamic models with sound approximation, 2024 a.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Real-time safe control of neural network dynamic models with sound approximation, 2024 a

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0c047bf5-187c-4696-a726-6f261e5a2bf4 · outbound

This paper cites Verification of neural control barrier functions with symbolic derivative bounds propagation.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Verification of neural control barrier functions with symbolic derivative bounds propagation

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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This paper cites Mesh-based dynamics model with occlusion reasoning for cloth manipulation.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Mesh-based dynamics model with occlusion reasoning for cloth manipulation

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2525aaa9-f8ec-40be-bcce-c770ef11b088 · outbound

This paper cites Towards scalable complete verification of relu neural networks via dependency-based branching.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Towards scalable complete verification of relu neural networks via dependency-based branching

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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This paper cites Unsupervised learning of object keypoints for perception and control.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Unsupervised learning of object keypoints for perception and control

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d66dfdd4-3026-4912-b1ad-425fbd952654 · outbound

This paper cites Learning quadrupedal locomotion over challenging terrain.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Learning quadrupedal locomotion over challenging terrain

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9bc74460-1690-4b13-a7d9-fb385f9aa317 · outbound

This paper cites Deepmpc: Learning deep latent features for model predictive control.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Deepmpc: Learning deep latent features for model predictive control

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 99f5e8b4-865d-46d5-a893-da6528cffad5 · outbound

This paper cites Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids

Reference 32

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b751af99-597e-4cdf-9066-c8a27b473e74 · outbound

This paper cites Propagation networks for model-based control under partial observation.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Propagation networks for model-based control under partial observation

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7a0453fb-040b-4816-8ec2-9bec80d31319 · outbound

This paper cites Causal discovery in physical systems from videos.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Causal discovery in physical systems from videos

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 323f9df9-1722-472c-bec9-0323eada5ed3 · outbound

This paper cites Learning visible connectivity dynamics for cloth smoothing.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Learning visible connectivity dynamics for cloth smoothing

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:35.216584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.093825Z digest=sha256:b322ddf3ed9ef274c853c4e4d94ec66592d2c2fcd9e38d2f19a5f59afaee3794

Observation 094311f6-45c0-4d33-8f24-a384fc598711 · outbound

This paper cites Kochenderfer.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Kochenderfer

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:35.202092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.098248Z digest=sha256:ad5de88e4eff0a03ce344adafd7360c90e7aae8eb5fd20af3f1c37ed828d7824

Observation 2dfa124d-9658-450b-a262-c5dd5d492485 · outbound

This paper cites Model-based control with sparse neural dynamics.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Model-based control with sparse neural dynamics

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:35.188000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.102647Z digest=sha256:3bfcc3cc1059417fc193d8a2f6ba3b14b7e9000dbc4f53eab9a8d0dcea9fecd5

Observation 35f463e5-f525-432c-bae6-23fc4dd4640d · outbound

This paper cites Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:34.106772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:57:34.106772Z digest=sha256:1f173fb77b09e9a5f97e00eb158c32dbedc8d3ae164458691b05c5250346b9d7

Observation bd07c349-98cd-4741-86c0-fb5135d692f4 · outbound

This paper cites Pawan Kumar.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Pawan Kumar

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:35.173200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.111427Z digest=sha256:56dd361012e8108b00796775bf38985a6952be6801b800c278fdd33934dfc993

Observation 6878263b-18d7-4484-af32-129838f89fdb · outbound

This paper cites Unified particle physics for real-time applications.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Unified particle physics for real-time applications

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:34.115908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:57:34.115908Z digest=sha256:c4c6ea55c1ed53a15b381bd0da74d42a5cadfed604ae36438670d852e5223fc7

Observation 50babe6b-e978-44e6-b20d-dfc001b1fdae · outbound

This paper cites Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:34.120531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:57:34.120531Z digest=sha256:aa8f61d9b3751e9b12d585d5d357a393a3770f1cf25a605b97dbf6154587f121

Observation 474a1cfd-e1aa-461a-b690-9fbecf234b9d · outbound

This paper cites Graphs of Convex Sets with Applications to Optimal Control and Motion Planning.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Graphs of Convex Sets with Applications to Optimal Control and Motion Planning

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:35.147797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.125150Z digest=sha256:4859254bd3a5a3fe626f3804c45ee087ec80ee38a90dc675fd90146f63a681b6

Observation 7f1bfea7-c9fb-477e-8cca-3ff846e5952f · outbound

This paper cites The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:34.129631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:57:34.129631Z digest=sha256:998674f0ae68f77d59c40bcae11602fe762faaf8a48c80368b35d36bcbb06a0f

Observation e63958b4-941f-441b-9b56-470308a3249f · outbound

This paper cites Deep dynamics models for learning dexterous manipulation.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Deep dynamics models for learning dexterous manipulation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:35.133241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.134223Z digest=sha256:4d4d9284808d3f859984fc71fec03161541d33503b48914b1d7f3ca708bcb2ba

Observation b941eae5-2021-43d6-9276-855ae932927e · outbound

This paper cites Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:34.138511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:57:34.138511Z digest=sha256:25736bfdda1e42d89ad1085d248eb2bcd24a89b565dad243610e578ba3c5738c

Observation 567a3e71-2265-4f00-b594-34d57570e31e · outbound

This paper cites The cross-entropy method: a unified approach to combinatorial optimization, Monte-Carlo simulation and machine learning.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics The cross-entropy method: a unified approach to combinatorial optimization, Monte-Carlo simulation and machine learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:35.118770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.143095Z digest=sha256:c225ba6a54295b0e3153b80a12eafe6c80536d2f97caa0f9c6460c341b24ab51

Observation 493a03f9-e380-4d09-a7a1-f6b2b2ae2463 · outbound

This paper cites Deep model predictive optimization, 2023.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Deep model predictive optimization, 2023

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:35.103872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.147605Z digest=sha256:7884ca6e0c14e5a1c5bbc0102074b0d34dd5b29118e380f89afd93d37fbad9fe

Observation 6af12bd1-0483-4061-af99-1771ba0782c2 · outbound

This paper cites A convex relaxation barrier to tight robustness verification of neural networks.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics A convex relaxation barrier to tight robustness verification of neural networks

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:35.089116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.152098Z digest=sha256:c53aa6a4841955f57613d9281a7ad1909eb9688730165e7f08f08820a2c0c065

Observation 82c369d5-04b2-463f-a8cb-bc5361483ce3 · outbound

This paper cites Mastering atari, go, chess and shogi by planning with a learned model.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Mastering atari, go, chess and shogi by planning with a learned model

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:34.156673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:57:34.156673Z digest=sha256:e08b45a9b9b5558294a045175b384d3bd0e3a961c66a1c4ecbb2ea30b81b0572

Observation 1e508292-ea54-4fb4-98a3-851377b95b08 · outbound

This paper cites Masked world models for visual control.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Masked world models for visual control

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:34.160923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:57:34.160923Z digest=sha256:6abdd8631573d30d283bc7d864ad105c6edd657fd8998788f679409223bd9f5f

Observation af0ddc30-0f24-498c-bf93-29c7b2aaa6e7 · outbound

This paper cites RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:34.165372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:57:34.165372Z digest=sha256:56bf6bf376b2b82012e5f1dcf2cb9f5dffa2510083c9de6e4863cf0783b8dcef

Observation 554d959f-fcf9-4d0c-9b9e-dd03c0d39e65 · outbound

This paper cites Robocook: Long-horizon elasto-plastic object manipulation with diverse tools, 2023.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Robocook: Long-horizon elasto-plastic object manipulation with diverse tools, 2023

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:34.169867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:57:34.169867Z digest=sha256:2a4146148ca81b6b27d951eb7e2a0f3bf4cfb5b5e6b77738b4fea4ac39903cc2

Observation 574322da-2ec1-486d-8308-d1424e902738 · outbound

This paper cites An abstract domain for certifying neural networks.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics An abstract domain for certifying neural networks

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:35.045600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.174284Z digest=sha256:53c40346abe991418925bf3424709e98ffdc867fd68d504232f16758b85cec76

Observation 23791380-e26c-4be2-8dbd-d8b67fe0217e · outbound

This paper cites The Surprising Effectiveness of Linear Models for Visual Foresight in Object Pile Manipulation.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics The Surprising Effectiveness of Linear Models for Visual Foresight in Object Pile Manipulation

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-11T16:57:34.595848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.178920Z digest=sha256:b46aaac636e046db60e6642eaaf50b28c9db6558fd3210b014f4982d4ef68176

Observation 1f05736c-9946-4cd3-8b8f-65f1d30e82cc · outbound

This paper cites Manipulation by feel: Touch-based control with deep predictive models.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Manipulation by feel: Touch-based control with deep predictive models

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:35.030830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.183765Z digest=sha256:289851554ff89613fdd75336cdc16183e813c73e3f028820ac346ab04c7437fa

Observation 509ae298-1650-407c-9633-19397c911c0c · outbound

This paper cites Evaluating robustness of neural networks with mixed integer programming, 2019.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Evaluating robustness of neural networks with mixed integer programming, 2019

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:34.188179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:57:34.188179Z digest=sha256:811913a0b271d0b40ff85a48f96aab03a254cd5fef30e85e65a5ceea9033b0f3

Observation ff57a165-d0ff-48b9-af18-eaacba13bb2c · outbound

This paper cites Efficient formal safety analysis of neural networks.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Efficient formal safety analysis of neural networks

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:35.003132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.192509Z digest=sha256:37f81c701ccc11699ca9d1d5da17d5e783aa9fd9ee0d5ed940b4fa220a13fdb1

Observation 636280a7-62e2-4093-9473-e82db7c4defd · outbound

This paper cites Beta-crown: Efficient bound propagation with per-neuron split constraints for complete and incomplete neural network robustness verification.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Beta-crown: Efficient bound propagation with per-neuron split constraints for complete and incomplete neural network robustness verification

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:34.986749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.196972Z digest=sha256:5c2c50a38989226ed3e6c41ebaa5e6194a74908b43d19d9fdc09e4b06752ae52

Observation 73baaace-e175-49b1-aa0d-322264d77d58 · outbound

This paper cites Dynamic-Resolution Model Learning for Object Pile Manipulation.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Dynamic-Resolution Model Learning for Object Pile Manipulation

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:34.201516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:57:34.201516Z digest=sha256:9cb0646e9c87b2591e2707f16878386d914a837e4a0d0b65d8799b9b40a6b946

Observation 04fba992-0ed1-4f54-a8a0-91ec4b1c88e6 · outbound

This paper cites Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:34.205893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:57:34.205893Z digest=sha256:687d47d11503a7e04d92eab4bb32d7090a2541751b1d01c9fa753d1fdf995872

Observation 6481e41c-79ad-4606-8345-bd166cd96b2d · outbound

This paper cites Safe control with neural network dynamic models, 2022.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Safe control with neural network dynamic models, 2022

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:34.970929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.210485Z digest=sha256:73bdba5b7ff9eac0514c3e34f55a0b1476327f69829ee5f786092c4cc2e48b39

Observation 2c4f2018-eda6-4e21-b02a-12e18a7b8882 · outbound

This paper cites Model predictive path integral control: From theory to parallel computation.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Model predictive path integral control: From theory to parallel computation

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:34.956290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.215015Z digest=sha256:1a515e8bdbbb0363c5f55f9db5e8cf602325a77a09840fd28a6a184a05afc8bd

Observation 2b3a95bd-7fa2-419c-82b0-5b05a16ed0b0 · outbound

This paper cites Verified Safe Reinforcement Learning for Neural Network Dynamic Models.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Verified Safe Reinforcement Learning for Neural Network Dynamic Models

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-08-11T16:57:34.556522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.219440Z digest=sha256:0b840d7e397ff525c2dacf40d998b32f4fcf20d56cdb3e9df6a91a5b4aeee29f

Observation 39474ca8-b450-409d-ad3c-96cfe375469d · outbound

This paper cites Daydreamer: World models for physical robot learning.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Daydreamer: World models for physical robot learning

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:34.941266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.224464Z digest=sha256:d29333e28e9c8291b0272c55e67ef0791aee72a1f635d7feb3b4e7db73d0e3de

Observation 05f2a9ad-ac94-4a13-8c15-38aef51ca873 · outbound

This paper cites Fast and complete: Enabling complete neural network verification with rapid and massively parallel incomplete verifiers.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Fast and complete: Enabling complete neural network verification with rapid and massively parallel incomplete verifiers

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:34.926154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.228808Z digest=sha256:b502168c0dbef47790a6acba8df3245c287a63f0a4bef3185c0356977f5cfde3

Observation e48fb5d9-f613-4d0b-9efd-ded78bab0140 · outbound

This paper cites Experience-embedded visual foresight.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Experience-embedded visual foresight

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:34.910999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.233142Z digest=sha256:a166f1e4a44d8aa2a885fcb1d6dfff711ecfc3357a8ab8c6754e39fb90dd0f30

Observation eba2313f-2ad2-4f21-9c67-d06bad64ac6b · outbound

This paper cites Covo-mpc: Theoretical analysis of sampling-based mpc and optimal covariance design, 2024.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Covo-mpc: Theoretical analysis of sampling-based mpc and optimal covariance design, 2024

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:34.894838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.237726Z digest=sha256:8a726b10a352bacdff5a702bc2707ab25920cee0d9ac17e15d858a784e029ad4

Observation b146d410-3b3e-4318-92a9-d9f9390c00de · outbound

This paper cites Trajectory distribution control for model predictive path integral control using covariance steering.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Trajectory distribution control for model predictive path integral control using covariance steering

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:34.242194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:57:34.242194Z digest=sha256:598d0150571f520624a73d1c80aa03ffdd81a43822c1bfe0b2caaa6654f55cba

Observation 618e2245-8a74-436f-8cad-68e8feb99d5a · outbound

This paper cites Efficient neural network robustness certification with general activation functions.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Efficient neural network robustness certification with general activation functions

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:34.880328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.246636Z digest=sha256:2619f008f0a97e3623eecc5908d21ee888c860c3611237a53e910de0be2b29a3

Observation fd2a7a4e-eaa5-4d57-af24-c5b73d042a8f · outbound

This paper cites General cutting planes for bound-propagation-based neural network verification.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics General cutting planes for bound-propagation-based neural network verification

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:34.865694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.251050Z digest=sha256:391df925a20207e8b86d7aad8bc1f88fa8cdfffffa95ce8ce43ccc743a8b1143

Observation c3d9b8cf-bf32-4882-83fd-1b6c1bab0c2c · outbound

This paper cites A branch and bound framework for stronger adversarial attacks of R e LU networks.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics A branch and bound framework for stronger adversarial attacks of R e LU networks

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:34.850969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.255655Z digest=sha256:a353b5edc1e4cdc3d2ed5a3148b67fe841521c614165430907f92ba127551973

Observation 06927cc0-e36b-4793-94cb-f4ca669d2437 · outbound

This paper cites Adaptigraph: Material-adaptive graph-based neural dynamics for robotic manipulation.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Adaptigraph: Material-adaptive graph-based neural dynamics for robotic manipulation

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:34.835676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.260260Z digest=sha256:0c4b58b89fc560e4528fee774222d106709ecf268fd867d0114b38b11ca30ca4

Observation b753a7ff-908a-4b6d-ab24-b95e7404bed4 · outbound

This paper cites A Simple Decentralized Cross-Entropy Method.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics A Simple Decentralized Cross-Entropy Method

Reference 73

Resolution
verified exact
local_arxiv, observed 2026-08-11T16:57:34.458431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:57:34.264845Z digest=sha256:7f4a8ed925dd86bf2c2185dda3f4c412ec1615ecf3cd5a93c676c02143eb5337

Observation ba144938-1f75-4137-8d29-8a19af782741 · outbound

This paper cites @esa (Ref.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics @esa (Ref

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:34.269838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:57:34.269838Z digest=sha256:0d4b0c1ec9a6d6912ed4f6aecbba9021bca7c5306dd36ace0b5ce584d01a2ea9

Observation 12720a3b-05b0-4d96-a020-3f0178e67762 · outbound

This paper cites an unresolved cited work.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Unresolved cited work

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:34.275198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:57:34.275198Z digest=sha256:c54e2afa47f471e4ec9c6375f1b99e50cfab2faaf73b77ea64b5bf78ef7dac76

Observation 95e2065f-c5a6-45c2-b923-d8cb4ee9d03a · outbound

This paper cites 0 ” stands for taking positive elements from the matrix while setting other elements to zero, and vice versa for subscript “ <0.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics 0 ” stands for taking positive elements from the matrix while setting other elements to zero, and vice versa for subscript “ <0

Reference 76

Resolution
malformed identifier
no resolver link, observed 2026-08-11T16:57:34.280379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:57:34.280379Z digest=sha256:14d79ca6b9c18ee482a61a08e5285d479eca278d43b7ec0848d46552cf62f390

Pith citing papers

Observation 69564ba2-6d51-451c-b8cf-04cf363277e5 · inbound

Parallel Differentiable Reachability for Learning and Planning with Certified Neural Dynamics and Controllers cites this paper.

Parallel Differentiable Reachability for Learning and Planning with Certified Neural Dynamics and Controllers BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:13:59.874537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T22:10:50.600849Z digest=sha256:c3ec8d2b465580cadd6b426b304b5ef5c406540e57f667deae8f099c81731cbf

Observation c58ba40b-0e6c-476f-be1f-d6a30d826458 · inbound

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial cites this paper.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-06-29T16:23:39.426892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:9b49b34a47adf9c4c839f23ab7ec6f8bb6c1bc33dda9e78cec38498ea60bfd71