Pith. sign in

Paper Citation Record · LEDGER

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness

As of 23 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2505.07287.

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

pith.paper-citation-record.v1
2505.07287 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:27:18.177230Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

  • verified exact1
  • verified fuzzy20
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cedf158c-2634-4b94-9cc6-c3dd563fb685 · outbound

This paper cites Combined learning of linear parameter-varying models and robust control invariant sets,.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness Combined learning of linear parameter-varying models and robust control invariant sets,

Reference 1

Resolution
verified exact
raw_fallback, observed 2026-08-15T22:27:18.375450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.074843Z digest=sha256:58aa257f17327d801ab01f006c970b184f66000e61f72837fa34cabe00d5390c

Observation 30ed97ac-8160-4a78-b5fa-4b7bd3b7d475 · outbound

This paper cites Deep learning and system identification,.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness Deep learning and system identification,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:18.662159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.079792Z digest=sha256:9f318dc8e3047622d84b216e6e3652d128066101e1458185fd282e2eb44a7f1b

Observation 16ffaa62-fde3-4960-abd1-3f46d1901db5 · outbound

This paper cites Set-membership identification of systems with parametric and nonparametric uncertainty,.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness Set-membership identification of systems with parametric and nonparametric uncertainty,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:18.648991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.084054Z digest=sha256:4ff15f5952479f945c984cce7d9780c8cb0640013958698779fe7960120bceb9

Observation f97445f7-f966-4768-9733-48c42cdb904b · outbound

This paper cites Set membership identification of nonlinear systems,.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness Set membership identification of nonlinear systems,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:18.635421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.088139Z digest=sha256:dd865d17b62eace57305e6014122a378deebc89140aab05bd05d5851397b4b14

Observation b9c8403d-08da-4a07-bfcd-a6059b4424ee · outbound

This paper cites Set membership identification of linear systems with guaranteed simu- lation accuracy,.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness Set membership identification of linear systems with guaranteed simu- lation accuracy,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:18.622117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.092650Z digest=sha256:476eef27d798ac3766f2209a5f83254ec1c9bc829ed7cf8a7b12c0869f5eb6ed

Observation 7bdb5d75-9449-489f-9d57-352eb0b76a2f · outbound

This paper cites Data-driven computation of minimal robust control invariant set,.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness Data-driven computation of minimal robust control invariant set,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:18.609346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.096937Z digest=sha256:2c4407677e38f3c6f2ecf3302f7aa17c3ec84e7585796520e8afd80254aea28d

Observation e139e4fa-3fd6-490c-982f-10d069a63185 · outbound

This paper cites Data-driven synthesis of robust invariant sets and controllers,.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness Data-driven synthesis of robust invariant sets and controllers,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:18.596319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.101724Z digest=sha256:667a010968a8cda47a1bf0895704130e004bcf37e9848f047e6403208c2319dd

Observation 6243d882-28ab-4068-b189-da13fd123732 · outbound

This paper cites Safe reinforcement learning using robust MPC,.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness Safe reinforcement learning using robust MPC,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:18.582696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.106000Z digest=sha256:9ff99a0783ec912c01c3fd6a90bdaa14f0e026cfd0bef0323509929a0163978d

Observation 7f2744cb-0afc-4173-9111-e3c2fe0ee411 · outbound

This paper cites Lovera, M.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness Lovera, M

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:18.569797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.110012Z digest=sha256:0a3ca84f362c9ee723efc5323ee95bc254209cfd0899db3c75a674250f2f320f

Observation fba115de-5805-451b-9ac7-32cbd5a27ed1 · outbound

This paper cites State-space LPV model identification using kernelized machine learning,.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness State-space LPV model identification using kernelized machine learning,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:18.556476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.114059Z digest=sha256:4995b5daa70a6318b65088ae8fe28ac37adc25776e9a74dff621da8c078ed5f2

Observation 3721036a-e2bd-4d8c-a34e-387b78f63076 · outbound

This paper cites Deep-learning-based identification of LPV models for nonlinear systems,.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness Deep-learning-based identification of LPV models for nonlinear systems,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:18.542988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.118206Z digest=sha256:eb6d2a966dd802dd7d0257bf8e7f8d8348353f1ab5cf56e33873603674015271

Observation 772b9b95-bf95-4724-8aaf-56dcf6f4e5f0 · outbound

This paper cites Blanchini and S.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness Blanchini and S

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:18.529347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.122446Z digest=sha256:8abefb473fd873514dce0046c42c96181304a13c7b0474fa47c66213e1876331

Observation cd458ba9-f607-4d89-91f4-0e56b54b8b74 · outbound

This paper cites Configuration-constrained tube MPC,.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness Configuration-constrained tube MPC,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:18.515792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.126673Z digest=sha256:cb5d613b1a4fb9686eae3e50a52be599d22b19b2ab536576cd2ff2d5ba688690

Observation 7a87c177-4c0b-4cd7-a016-7bc18bc6de78 · outbound

This paper cites Robust output feedback model predictive control of constrained linear systems,.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness Robust output feedback model predictive control of constrained linear systems,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:18.501738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.130968Z digest=sha256:7cbba1511851ff44668d8b1d1dc4df4db105ed3782aaf8e71e091ca592353d38

Observation e84fdd8e-48f4-47e6-aa02-92bd276d2f87 · outbound

This paper cites A one-step approach to computing a polytopic robust positively invariant set,.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness A one-step approach to computing a polytopic robust positively invariant set,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:18.486105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.135209Z digest=sha256:95f75a00ce9aee3c4736ab81ea482b8cd41502ef2c5d2bcc016b76d55c377deb

Observation c80357b1-1eac-4c86-b539-9135e0bb4d1b · outbound

This paper cites Configuration- constrained tube MPC for tracking,.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness Configuration- constrained tube MPC for tracking,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:18.472255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.139249Z digest=sha256:9c54d76e9d98227979032922cefabab2bd96f1d4f1a2127ad49818fac2ee58e4

Observation f210cd41-5d67-409a-9787-2a9971633da7 · outbound

This paper cites On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T22:27:18.143195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:18.143195Z digest=sha256:75390413e3bc2d2b78f7a796357e58a565fb55a556235cd3fe1f1cb63f1f333f

Observation 6d539c1b-2615-49a2-8981-5eb67f1b19e3 · outbound

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

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness Beta-crown: Efficient bound propagation with per-neuron split constraints for neural network robustness verification,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:18.457538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.147787Z digest=sha256:556a6127f438dca5f6b85ca08a49c33628dffc3fea24de82a04139e3490e8684

Observation e2eaceaa-49e9-4ae5-a20a-c85666ccf2c2 · outbound

This paper cites Safety verification and robustness analysis of neural networks via quadratic constraints and semidefinite programming,.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness Safety verification and robustness analysis of neural networks via quadratic constraints and semidefinite programming,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:18.442932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.151996Z digest=sha256:141dc407a952576808d824e2205e3b016f23851d758c7cc8dac239d78ffaaa5f

Observation f77eaf12-29f5-4c9f-af19-57b6860fb51d · outbound

This paper cites Linsyn: Synthesizing tight linear bounds for arbitrary neural network activation functions,.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness Linsyn: Synthesizing tight linear bounds for arbitrary neural network activation functions,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:18.428358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.156053Z digest=sha256:4c6ab15e6da2db64340ec49d3e7554e9274ed09a1168c560112a1104ecf4ef4b

Observation de885d39-ca61-474d-ad64-18e9a92d556d · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness Adam: A Method for Stochastic Optimization

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T22:27:18.160409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:18.160409Z digest=sha256:94ff4f95cde1458f7f952927e0453772039e6e647ced80dbf5063d45e0080af5

Observation 43d48b1a-60e2-4c52-8fa3-f54e25b8d3ed · outbound

This paper cites JAX: composable transformations of Python+NumPy programs,.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness JAX: composable transformations of Python+NumPy programs,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T22:27:18.164448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:18.164448Z digest=sha256:f115bb41e7e4854af5ed21eb67f79759a2da96f5a7e68e1c1ef682ac772848db

Observation e641e4fe-b7d5-4702-b93b-29639377a3ca · outbound

This paper cites On the Differentiability of the Primal-Dual Interior-Point Method.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness On the Differentiability of the Primal-Dual Interior-Point Method

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T22:27:18.168825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:18.168825Z digest=sha256:a853bf71eae992ec19875740cf723a139d2275ab2aa28b1544c5dd56e23058f2

Observation a11af536-d5e9-4d7b-90ee-448cb6b6e2d3 · outbound

This paper cites An L-BFGS-B approach for linear and nonlinear system identification under ℓ1 and group-lasso regularization,.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness An L-BFGS-B approach for linear and nonlinear system identification under ℓ1 and group-lasso regularization,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:18.404599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.173095Z digest=sha256:8d23c8aac1cb4bbc801ee23e436bcbc14cabb702eba0344b42b5c1eb56813c74

Observation a6095306-fd59-452b-bc3c-8ec79a3e5f44 · outbound

This paper cites Infinite time reachability of state-space regions by using feedback control,.

Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness Infinite time reachability of state-space regions by using feedback control,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:18.390127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:27:18.177230Z digest=sha256:7661133c9d6024d59a732f69e40aefb08558e830e6f0ba9f43a7c93ad9ed7a9c

Pith citing papers

No inbound Pith citation observations are available.