Paper Citation Record · LEDGER

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations

As of 10 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 3 inbound Pith citation observations for arXiv:2502.02829.

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

pith.paper-citation-record.v1
2502.02829 v4

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:04:28.400302Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:39:59.947214Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T23:35:13.303667Z

Reference resolution

59 of 59 outbound references displayed

verified exact1
verified fuzzy50
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1bc65fe4-0983-4849-a555-4334738295d0 · outbound

This paper cites Mosek optimization toolbox for matlab.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Mosek optimization toolbox for matlab

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:29.156336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 81a4be3f-ad5b-407a-8dc8-cbfec386340f · outbound

This paper cites Real-time multi- contact model predictive control via admm.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Real-time multi- contact model predictive control via admm

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:29.144674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 475df032-c255-4a81-b19d-8b1fe27051e0 · outbound

This paper cites Stabilization of complementarity systems via contact-aware controllers.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Stabilization of complementarity systems via contact-aware controllers

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:29.130814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4dd9dcf8-1555-4c6e-bd26-d39d4040c43c · outbound

This paper cites Bodlaender and Arie M.C.A.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Bodlaender and Arie M.C.A

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:29.116350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bc4e8362-c53f-498b-93e2-9b1888a31b87 · outbound

This paper cites Trajectory optimization of contact-rich motions using implicit dif- ferential dynamic programming.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Trajectory optimization of contact-rich motions using implicit dif- ferential dynamic programming

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:29.104240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4b09b120-19e9-4bb1-80de-b7fc69c19e48 · outbound

This paper cites Trajectotree: Trajectory optimization meets tree search for planning multi-contact dexterous manipulation.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Trajectotree: Trajectory optimization meets tree search for planning multi-contact dexterous manipulation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:29.091521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 88fd10cb-f5ac-49a4-9ce7-f69d8d9a302a · outbound

This paper cites Contact mode guided motion planning for quasidynamic dexterous manipulation in 3d.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Contact mode guided motion planning for quasidynamic dexterous manipulation in 3d

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:29.078476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f6655a91-78ec-4ef5-a1e8-97abfc687a34 · outbound

This paper cites Dynamic locomotion in the mit cheetah 3 through convex model-predictive control.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Dynamic locomotion in the mit cheetah 3 through convex model-predictive control

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:29.065767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation de2eba2a-d1be-406c-9e39-3070a0b64a5c · outbound

This paper cites Kino- dynamic motion planning for multi-legged robot jumping via mixed-integer convex program.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Kino- dynamic motion planning for multi-legged robot jumping via mixed-integer convex program

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:29.052468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cb906492-f038-4706-81a9-d4c763658c5b · outbound

This paper cites Inci- dence matrices and interval graphs.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Inci- dence matrices and interval graphs

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:29.040257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b0a45b11-c3cb-4fac-8b25-2d034cc8261a · outbound

This paper cites Algorithmic graph theory and perfect graphs.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Algorithmic graph theory and perfect graphs

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:29.025599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b985ed5e-823b-4554-b6f1-af90b2b50897 · outbound

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

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Towards Tight Convex Relaxations for Contact-Rich Manipulation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T11:04:28.192887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beb44a1f-f596-4eca-998a-2f685fde50ac · outbound

This paper cites The development of honda humanoid robot.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations The development of honda humanoid robot

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:29.008777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2c7b9df2-4bcf-44b2-9956-fd608c2cc981 · outbound

This paper cites Sparse Polynomial Optimization with Unbounded Sets.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Sparse Polynomial Optimization with Unbounded Sets

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T11:04:28.201920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27b83a86-e63c-4057-99bd-d4f45f49b7f3 · outbound

This paper cites Fast and Certifiable Trajectory Optimization.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Fast and Certifiable Trajectory Optimization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T11:04:28.206654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e32f987-ff9d-4329-a46e-c2eaa40c0705 · outbound

This paper cites Minimizer extraction in polynomial optimization is robust.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Minimizer extraction in polynomial optimization is robust

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.989595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 14767462-ca1c-4d64-8c87-52c54061c2cb · outbound

This paper cites Balance control and locomotion planning for humanoid robots using nonlinear centroidal models.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Balance control and locomotion planning for humanoid robots using nonlinear centroidal models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.973504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2aa36aa3-2db6-4343-879f-4c7f22f610b2 · outbound

This paper cites Global optimization with polynomials and the problem of moments.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Global optimization with polynomials and the problem of moments

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.958900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 414ae2e9-e757-4927-9e8d-bd6eb000201c · outbound

This paper cites Convergent sdp-relaxations in poly- nomial optimization with sparsity.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Convergent sdp-relaxations in poly- nomial optimization with sparsity

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.946444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a087cd3a-8c79-4074-a121-059f438b31dd · outbound

This paper cites Convergent sdp-relaxations in poly- nomial optimization with sparsity.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Convergent sdp-relaxations in poly- nomial optimization with sparsity

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.932100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 49f4d51e-edc2-4f3f-9198-3426da7d64be · outbound

This paper cites Fast contact-implicit model predictive control.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Fast contact-implicit model predictive control

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.920887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2204d42c-8a59-4acd-b83e-9e46b7bd76c8 · outbound

This paper cites Computational geometric mechanics and control of rigid bodies.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Computational geometric mechanics and control of rigid bodies

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.908553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9f88f7ff-5ec1-4f57-85a4-18f4cca64eed · outbound

This paper cites On the Surprising Robustness of Sequential Convex Optimization for Contact-Implicit Motion Planning.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations On the Surprising Robustness of Sequential Convex Optimization for Contact-Implicit Motion Planning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T11:04:28.242865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa8f001e-2c2f-4ffb-a949-792617739be6 · outbound

This paper cites Manipulation and active sensing by pushing using tactile feedback.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Manipulation and active sensing by pushing using tactile feedback

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.894123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 14a59a13-a5ec-499d-8561-ad642513c812 · outbound

This paper cites TSSOS: a Julia library to exploit sparsity for large-scale polynomial optimization.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations TSSOS: a Julia library to exploit sparsity for large-scale polynomial optimization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T11:04:28.252011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84ad4347-e020-45f1-b4f6-c1a81b6d06f2 · outbound

This paper cites Sparse polynomial opti- mization: theory and practice.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Sparse polynomial opti- mization: theory and practice

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.882576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a8233057-5e48-4869-b6fc-15e375c5dc5f · outbound

This paper cites Variational contact-implicit trajectory optimization.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Variational contact-implicit trajectory optimization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.871080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fa3c8db0-02f5-40a1-96e8-bbefcaf4600f · outbound

This paper cites Warm start of mixed- integer programs for model predictive control of hybrid systems.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Warm start of mixed- integer programs for model predictive control of hybrid systems

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.859260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 37cdb87c-d4c1-4a78-b410-98570e768b1e · outbound

This paper cites Mechanics and planning of manip- ulator pushing operations.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Mechanics and planning of manip- ulator pushing operations

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.847178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 642272aa-200a-426b-8af9-603b5017ff75 · outbound

This paper cites Crocoddyl: An efficient and versatile framework for multi-contact optimal control.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Crocoddyl: An efficient and versatile framework for multi-contact optimal control

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.835582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9b41a5b2-e09e-4404-8efe-f15b7bcc9d6c · outbound

This paper cites Discovery of complex behaviors through contact- invariant optimization.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Discovery of complex behaviors through contact- invariant optimization

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.824218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5c593f43-aa76-47d9-baf4-2b7014465fd9 · outbound

This paper cites Multi-Query Shortest-Path Problem in Graphs of Convex Sets.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Multi-Query Shortest-Path Problem in Graphs of Convex Sets

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T11:04:28.283739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2caa38b3-c339-48cf-bbd5-9740fb5d120e · outbound

This paper cites Apriltag: A robust and flexible visual fiducial system.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Apriltag: A robust and flexible visual fiducial system

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.813007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bf004296-973d-4cf4-83c3-726027f7c453 · outbound

This paper cites Global planning for contact-rich manipulation via local smoothing of quasi-dynamic contact models.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Global planning for contact-rich manipulation via local smoothing of quasi-dynamic contact models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.802781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0e4ccc41-66ec-4f52-a8f8-68fca1a98670 · outbound

This paper cites A direct method for trajectory optimization of rigid bodies through contact.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations A direct method for trajectory optimization of rigid bodies through contact

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.792505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 957c0eb4-bc6e-4844-a418-07851f9a7b47 · outbound

This paper cites Algorithmic aspects of vertex elimination on graphs.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Algorithmic aspects of vertex elimination on graphs

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.780867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a2cbe22e-81d6-4fdc-bca6-84107fb67be3 · outbound

This paper cites Synthesis and stabilization of complex behaviors through online trajectory optimization.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Synthesis and stabilization of complex behaviors through online trajectory optimization

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.769672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8dffe902-8f93-4729-aaee-3fffa8077fb2 · outbound

This paper cites Control-limited differential dynamic programming.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Control-limited differential dynamic programming

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.757224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3c348c9e-d0ae-48bd-880e-12d0a8cc0449 · outbound

This paper cites Convex geometric motion planning on lie groups via moment relaxation.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Convex geometric motion planning on lie groups via moment relaxation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.745528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3dd88e75-b4df-4ec1-bbf5-29f2366dbf5e · outbound

This paper cites Convex geometric motion planning of multi- body systems on lie groups via variational integrators and sparse moment relaxation.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Convex geometric motion planning of multi- body systems on lie groups via variational integrators and sparse moment relaxation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.734035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1bfa7451-9159-45b7-83df-173ff83966b6 · outbound

This paper cites Sums of squares and semidef- inite program relaxations for polynomial optimization problems with structured sparsity.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Sums of squares and semidef- inite program relaxations for polynomial optimization problems with structured sparsity

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.722057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c9fe117b-3283-4b95-8fb8-bbfef069f291 · outbound

This paper cites An introduction to polynomial optimization.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations An introduction to polynomial optimization

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.710284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7287ac95-66c8-4d42-9314-5b619abc9650 · outbound

This paper cites Tssos: A moment-sos hierarchy that exploits term spar- sity.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Tssos: A moment-sos hierarchy that exploits term spar- sity

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.698620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 68ca9066-1f77-4eca-9f51-b98d5ceda115 · outbound

This paper cites Cs-tssos: Correlative and term sparsity for large-scale polynomial optimization.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Cs-tssos: Correlative and term sparsity for large-scale polynomial optimization

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.686746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 24ccd143-8e8b-45ca-a6c1-54f93821bd99 · outbound

This paper cites R3t: Rapidly-exploring random reachable set tree for optimal kinodynamic planning of nonlinear hybrid systems.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations R3t: Rapidly-exploring random reachable set tree for optimal kinodynamic planning of nonlinear hybrid systems

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.675366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5f79d828-d132-4f9c-8e40-0317ae86ae1f · outbound

This paper cites Semidefinite optimization and relax- ation.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Semidefinite optimization and relax- ation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.665229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 582f3a42-9bdf-4069-8832-cb10c9949244 · outbound

This paper cites Certifiably optimal outlier- robust geometric perception: Semidefinite relaxations and scalable global optimization.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Certifiably optimal outlier- robust geometric perception: Semidefinite relaxations and scalable global optimization

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.655471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4865c6b3-0977-47a9-bd8a-96d21723bd36 · outbound

This paper cites A new semidefinite relaxation for linear and piecewise-affine optimal control with time scaling.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations A new semidefinite relaxation for linear and piecewise-affine optimal control with time scaling

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.644030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9f9f4f0b-1826-4c00-a4fc-f8f9aee454a1 · outbound

This paper cites Dynamic On-Palm Manipulation via Controlled Sliding.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Dynamic On-Palm Manipulation via Controlled Sliding

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T11:04:28.355394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2eabba8a-9c42-49a1-962f-85972225ac8f · outbound

This paper cites Computing the minimum fill-in is np-complete.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Computing the minimum fill-in is np-complete

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.632155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c953161e-fa98-4735-bb23-f36fd8557cb3 · outbound

This paper cites Perspectives on How To Conduct Responsible Anti-Human Trafficking Research in Operations and Analytics.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Perspectives on How To Conduct Responsible Anti-Human Trafficking Research in Operations and Analytics

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-09T11:04:28.446423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 428b95a6-6cb9-4188-8246-2b89efcb7472 · outbound

This paper cites A combined con- tinuation and penalty method for the determination of optimal hybrid mechanical trajectories.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations A combined con- tinuation and penalty method for the determination of optimal hybrid mechanical trajectories

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.620949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 78d077b2-93b0-46e5-a980-9ebcb9887218 · outbound

This paper cites an unresolved cited work.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-09T11:04:28.609511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ce22b496-52d5-4ea4-81bf-388423533161 · outbound

This paper cites Define the optimal value of (A3) as ρk d.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Define the optimal value of (A3) as ρk d

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.596991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cbd3554f-d8e9-40c7-83d0-fc160b754d24 · outbound

This paper cites The configuration is shown in Figure 9 (a).

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations The configuration is shown in Figure 9 (a)

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.583890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1f9915f9-6c41-447a-bda9-fa6e0fb08077 · outbound

This paper cites Our goal is to push the box from one configuration ((sx, sy, θ)) to another.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Our goal is to push the box from one configuration ((sx, sy, θ)) to another

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.572116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9c59b50b-7bc8-41de-8e36-b0d9f6333865 · outbound

This paper cites Unlike 4 modes in the box setting, now we have 8 modes to assign.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations Unlike 4 modes in the box setting, now we have 8 modes to assign

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.559524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a88bd324-4768-4941-9f67-5d6596207f0e · outbound

This paper cites To model the collision avoidance constraints, we approximate the box as a union of two circles, as shown in Figure 9 (d).

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations To model the collision avoidance constraints, we approximate the box as a union of two circles, as shown in Figure 9 (d)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.547652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation acf58dc4-43d2-4974-ab2c-5936545454ce · outbound

This paper cites r" and "l.

Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations r" and "l

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:04:28.534967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 3f951138-07e1-4b65-afa0-41b8912d13ee · inbound

Local Linear Convergence of the Alternating Direction Method of Multipliers for Semidefinite Programming under Strict Complementarity cites this paper.

Local Linear Convergence of the Alternating Direction Method of Multipliers for Semidefinite Programming under Strict Complementarity Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:35:13.306871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f93e3faa-1420-41b6-90ca-293026c93c74 · inbound

Approximating Global Contact-Implicit MPC via Sampling and Local Complementarity cites this paper.

Approximating Global Contact-Implicit MPC via Sampling and Local Complementarity Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:06:38.152900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8492710b-5b1a-4d7d-a61c-b5719f376e99 · inbound

A Curvature-Aware Rank-Adaptive Distributed Augmented-Lagrangian Solver for Large-Scale SDPs cites this paper.

A Curvature-Aware Rank-Adaptive Distributed Augmented-Lagrangian Solver for Large-Scale SDPs Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T16:39:59.947214Z

Source-reported events for the cited work

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