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Paper Citation Record · LEDGER

Learning Verifiable Control Policies Using Relaxed Verification

As of 18 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2504.16879.

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

pith.paper-citation-record.v1
2504.16879 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:56:55.331377Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T01:19:12.424654Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:05:44.258247Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact2
  • verified fuzzy8
  • unresolved32
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e66936f-fc09-405f-b7c3-818c0cbdebe8 · outbound

This paper cites Efficient neural network robustness certification with general activa- tion functions,.

Learning Verifiable Control Policies Using Relaxed Verification Efficient neural network robustness certification with general activa- tion functions,

Reference 1

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Observation d6934551-e938-40da-a8a7-d876595624bd · outbound

This paper cites Towards fast computation of certified robustness for relu networks,.

Learning Verifiable Control Policies Using Relaxed Verification Towards fast computation of certified robustness for relu networks,

Reference 2

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Observation 4d52664e-2a18-4e71-b316-a06f4aeca57b · outbound

This paper cites Automatic perturbation analy- sis for scalable certified robustness and beyond,.

Learning Verifiable Control Policies Using Relaxed Verification Automatic perturbation analy- sis for scalable certified robustness and beyond,

Reference 3

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Observation b6a339f3-12d7-4a6d-bea7-3a5e3bc7c8db · outbound

This paper cites Semidefinite relax- ations for certifying robustness to adversarial examples,.

Learning Verifiable Control Policies Using Relaxed Verification Semidefinite relax- ations for certifying robustness to adversarial examples,

Reference 4

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Observation 1aaaaccf-dbdd-41b2-a525-afac9778c85a · outbound

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

Learning Verifiable Control Policies Using Relaxed Verification Evaluating robustness of neural networks with mixed integer programming,

Reference 5

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Observation ae6b8c06-3838-467d-aa5b-8e77f6644628 · outbound

This paper cites The marabou framework for verification and analysis of deep neural networks,.

Learning Verifiable Control Policies Using Relaxed Verification The marabou framework for verification and analysis of deep neural networks,

Reference 6

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Observation 64e14d09-9422-45e4-af73-c8e79892721a · outbound

This paper cites Re- luplex: An efficient SMT solver for verifying deep neural networks,.

Learning Verifiable Control Policies Using Relaxed Verification Re- luplex: An efficient SMT solver for verifying deep neural networks,

Reference 7

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Observation 87ea7f61-aa1e-4711-a291-a0f5c31bb621 · outbound

This paper cites Verifying low-dimensional input neural networks via input quantization,.

Learning Verifiable Control Policies Using Relaxed Verification Verifying low-dimensional input neural networks via input quantization,

Reference 8

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source=pdf_text observed=2026-08-16T10:56:55.187391Z digest=sha256:baad1b843fd60c80589be65b775917bdb06bfeb50639b0ad7d93b5df7ed1aeb4

Observation e80d351d-bb99-4226-b7ba-0494692040b8 · outbound

This paper cites Reachable polyhedral marching (RPM): A safety verification algorithm for robotic systems with deep neural network components,.

Learning Verifiable Control Policies Using Relaxed Verification Reachable polyhedral marching (RPM): A safety verification algorithm for robotic systems with deep neural network components,

Reference 9

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Observation 34117b47-623a-437f-a4c2-057985b81129 · outbound

This paper cites Overt: An algorithm for safety verification of neural network control policies for nonlinear systems,.

Learning Verifiable Control Policies Using Relaxed Verification Overt: An algorithm for safety verification of neural network control policies for nonlinear systems,

Reference 10

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Observation 0954a8ca-f579-4721-8b1e-6c25a0af09ea · outbound

This paper cites One-shot reachability anal- ysis of neural network dynamical systems,.

Learning Verifiable Control Policies Using Relaxed Verification One-shot reachability anal- ysis of neural network dynamical systems,

Reference 11

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Observation 5cc77f7a-611e-4a6f-b41d-e6f0711d8183 · outbound

This paper cites Reachability analysis of neural feedback loops,.

Learning Verifiable Control Policies Using Relaxed Verification Reachability analysis of neural feedback loops,

Reference 12

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Observation 302e5ac0-11ae-498a-a602-62eb616af3f1 · outbound

This paper cites A Reachability Method for Verifying Dynamical Systems with Deep Neural Network Controllers.

Learning Verifiable Control Policies Using Relaxed Verification A Reachability Method for Verifying Dynamical Systems with Deep Neural Network Controllers

Reference 13

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Observation 9cd86313-e0f9-4b32-9f63-749bf62579c7 · outbound

This paper cites Reach-SDP: Reachability analysis of closed-loop systems with neural network controllers via semidefinite programming,.

Learning Verifiable Control Policies Using Relaxed Verification Reach-SDP: Reachability analysis of closed-loop systems with neural network controllers via semidefinite programming,

Reference 14

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Unavailable: canonical work link unavailable.

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Observation 6566ac86-5fa0-4889-b297-9d45a3b6908e · outbound

This paper cites Polar-express: Efficient and precise formal reachability analysis of neural-network controlled systems,.

Learning Verifiable Control Policies Using Relaxed Verification Polar-express: Efficient and precise formal reachability analysis of neural-network controlled systems,

Reference 15

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Unavailable: canonical work link unavailable.

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Observation 2cd69ac1-b26b-40cf-9304-e0e914c64686 · outbound

This paper cites Verisig: verifying safety properties of hybrid systems with neural network con- trollers,.

Learning Verifiable Control Policies Using Relaxed Verification Verisig: verifying safety properties of hybrid systems with neural network con- trollers,

Reference 16

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Observation fcb10bab-b597-4509-924c-84bc28b2307c · outbound

This paper cites Reachability analysis for neural feedback systems using regressive polynomial rule inference,.

Learning Verifiable Control Policies Using Relaxed Verification Reachability analysis for neural feedback systems using regressive polynomial rule inference,

Reference 17

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Observation f88e1383-fc20-46fd-a29e-20cbd5437e9b · outbound

This paper cites Reachnn: Reachability analysis of neural-network controlled systems,.

Learning Verifiable Control Policies Using Relaxed Verification Reachnn: Reachability analysis of neural-network controlled systems,

Reference 18

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Observation f25dbd88-c34e-4350-aa16-efd679fb88dc · outbound

This paper cites Reachnn*: A tool for reachability analysis of neural-network controlled systems,.

Learning Verifiable Control Policies Using Relaxed Verification Reachnn*: A tool for reachability analysis of neural-network controlled systems,

Reference 19

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Observation 9732f711-3905-4d82-8c3f-de4326731fea · outbound

This paper cites Reachable set estimation for neural network control systems: A simulation-guided approach,.

Learning Verifiable Control Policies Using Relaxed Verification Reachable set estimation for neural network control systems: A simulation-guided approach,

Reference 20

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Observation 29ee255f-2512-425f-b807-080c01cf9852 · outbound

This paper cites Neural network compression of ACAS Xu early prototype is unsafe: Closed-loop verification through quantized state backreachability,.

Learning Verifiable Control Policies Using Relaxed Verification Neural network compression of ACAS Xu early prototype is unsafe: Closed-loop verification through quantized state backreachability,

Reference 21

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Observation 667111ae-6a76-4ac9-a209-a2213bbe1062 · outbound

This paper cites Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Robustness Verification.

Learning Verifiable Control Policies Using Relaxed Verification Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Robustness Verification

Reference 22

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Observation 87a8bdba-aa65-42b3-b53e-6915cc574af8 · outbound

This paper cites Safety verification of neural feedback systems based on constrained zonotopes,.

Learning Verifiable Control Policies Using Relaxed Verification Safety verification of neural feedback systems based on constrained zonotopes,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d128a478-046b-45f0-8dfa-c5ad80c8550a · outbound

This paper cites Scalable verified training for provably robust image classification,.

Learning Verifiable Control Policies Using Relaxed Verification Scalable verified training for provably robust image classification,

Reference 24

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 031736f8-1bd2-4d46-b302-92c185f91b43 · outbound

This paper cites Neural Lyapunov control,.

Learning Verifiable Control Policies Using Relaxed Verification Neural Lyapunov control,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:56:55.261248Z digest=sha256:d5f3e070bcb0ce6c3fc5a63a71413cf27141a4322ff170c5067c07c84f22a17d

Observation 53893ec8-ce80-41aa-8e25-2a6bc90b493f · outbound

This paper cites Learning certified control using contrac- tion metric,.

Learning Verifiable Control Policies Using Relaxed Verification Learning certified control using contrac- tion metric,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-16T10:56:55.561246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:56:55.264968Z digest=sha256:4f51b89fc62e5cf857a5c770d5d979af3e3b5feafb1930dc7c3c9a81bf09f4c8

Observation 9cb79664-a7fe-4a65-9cc8-f968f1a256e6 · outbound

This paper cites Actor-critic reinforcement learning for control with stability guarantee,.

Learning Verifiable Control Policies Using Relaxed Verification Actor-critic reinforcement learning for control with stability guarantee,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-16T10:56:55.549646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:56:55.269329Z digest=sha256:c4da2a1e69aa9c4c0d82df8678fdaf278a03ce6eb449a26abca99eefae9bd7c6

Observation adb914b0-ec73-4157-a88d-070daaef7d73 · outbound

This paper cites Learning safe multi-agent control with decentralized neural barrier certificates,.

Learning Verifiable Control Policies Using Relaxed Verification Learning safe multi-agent control with decentralized neural barrier certificates,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-16T10:56:55.538898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:56:55.273588Z digest=sha256:698c350dd58acf5eeb6221a155b5ef745e1999aa0e087d0a50f16631a49efce7

Observation 2e3d2c15-af09-46c7-b686-0c9016da7bb0 · outbound

This paper cites Lyapunov- stable neural-network control,.

Learning Verifiable Control Policies Using Relaxed Verification Lyapunov- stable neural-network control,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-16T10:56:55.527860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:56:55.277517Z digest=sha256:d3042a3793e475659d8f872aa09a4e764037969d6fb244f0d30e785b251a81b8

Observation e7e0319f-bfa9-49fe-a532-a03d552956bf · outbound

This paper cites Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods.

Learning Verifiable Control Policies Using Relaxed Verification Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:56:55.281070Z digest=sha256:0fcc2c0665f8915d4c1c02dbe429b072611d00472a3d6346f92ff05b972282af

Observation dfd87b98-ead3-4e4e-a9b8-fe873eac12d9 · outbound

This paper cites Policy Verification in Stochastic Dynamical Systems Using Logarithmic Neural Certificates.

Learning Verifiable Control Policies Using Relaxed Verification Policy Verification in Stochastic Dynamical Systems Using Logarithmic Neural Certificates

Reference 31

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source=pdf_text observed=2026-08-16T10:56:55.285434Z digest=sha256:1320cb0f34d8da62da1ea34cf7be4701b526715b1c252c72c2b035a8c150a3f1

Observation a49b5774-e6e4-43e9-8444-bfff67260fb8 · outbound

This paper cites Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation.

Learning Verifiable Control Policies Using Relaxed Verification Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation

Reference 32

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source=pdf_text observed=2026-08-16T10:56:55.289933Z digest=sha256:88b34c0c76f17ed48e80e7bfea947b9c6a1c7bd1fd044ba4df3d427fa880f310

Observation 37e0827f-5c8b-4a0c-9711-0d91cea567dc · outbound

This paper cites Verification in the Loop: Correct-by-Construction Control Learning with Reach-avoid Guarantees.

Learning Verifiable Control Policies Using Relaxed Verification Verification in the Loop: Correct-by-Construction Control Learning with Reach-avoid Guarantees

Reference 33

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verified exact
local_arxiv, observed 2026-08-16T10:56:55.419225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:56:55.294258Z digest=sha256:511e32f50be289a9db481ddfee8b8ada0f1b00e5c94a52f4b8af158cb3755fcf

Observation 3aa10be5-37dd-4501-98c0-2a67d8eafabe · outbound

This paper cites Joint Differentiable Optimization and Verification for Certified Reinforcement Learning.

Learning Verifiable Control Policies Using Relaxed Verification Joint Differentiable Optimization and Verification for Certified Reinforcement Learning

Reference 34

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verified exact
local_arxiv, observed 2026-08-16T10:56:55.403135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:56:55.299020Z digest=sha256:0c238ef06ceaa319c86d2058f4613adf3e2ecc164c63a29726dd9908066871b3

Observation 84f0bdaf-976c-4a8c-82f8-619f873a5b3f · outbound

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

Learning Verifiable Control Policies Using Relaxed Verification Verified Safe Reinforcement Learning for Neural Network Dynamic Models

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:56:55.303280Z digest=sha256:469cc557c47d471d88894e70ef393599c38b946c53f415814ce232040e87b0f7

Observation 2ca42e93-17d0-4011-a377-07532932203d · outbound

This paper cites Bunel, J.

Learning Verifiable Control Policies Using Relaxed Verification Bunel, J

Reference 36

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source=pdf_text observed=2026-08-16T10:56:55.307175Z digest=sha256:6931f980d2977d1ef8bef6ed3ee40cf96c356dabbc6f0e5236358cb6a5d5e359

Observation 20c4dc66-01a0-49e0-a0b4-a5ae17a77dbb · outbound

This paper cites an unresolved cited work.

Learning Verifiable Control Policies Using Relaxed Verification Unresolved cited work

Reference 37

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unresolved
no resolver link, observed 2026-08-16T10:56:55.311204Z

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source=pdf_text observed=2026-08-16T10:56:55.311204Z digest=sha256:af3d45cfa5b49b2e816bb8c1c7f6843cc68c2f02d679f0d1742509d33ce24970

Observation 94a41263-a517-4b61-af3f-8ed5e5fb0f30 · outbound

This paper cites TTT: A Temporal Refinement Heuristic for Tenuously Tractable Discrete Time Reachability Problems.

Learning Verifiable Control Policies Using Relaxed Verification TTT: A Temporal Refinement Heuristic for Tenuously Tractable Discrete Time Reachability Problems

Reference 38

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no resolver link, observed 2026-08-16T10:56:55.315620Z

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source=pdf_text observed=2026-08-16T10:56:55.315620Z digest=sha256:19fff753042812597103cad99dcb81473dd6decc1db55d0348e8fe0304b1dca1

Observation 87b18fc8-7a1f-4e25-abb6-41d86a3ed8ee · outbound

This paper cites Constraint-aware refinement for safety verification of neural feedback loops,.

Learning Verifiable Control Policies Using Relaxed Verification Constraint-aware refinement for safety verification of neural feedback loops,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:56:55.503595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:56:55.319758Z digest=sha256:8512b840111705634b324a2e6f17ede7dd1c50407f417bb12d5c7f1d4eae15c8

Observation 91b9b515-6995-4a19-a0a6-b0ab44f0f2c1 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Learning Verifiable Control Policies Using Relaxed Verification Adam: A Method for Stochastic Optimization

Reference 40

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unresolved
no resolver link, observed 2026-08-16T10:56:55.323643Z

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source=pdf_text observed=2026-08-16T10:56:55.323643Z digest=sha256:1d420ab79938cc9d4c87839e81b2bb0f76e4011b593fc770636cd90f46403d46

Observation 1a6907db-19fe-4e53-9b26-1f4bbe0117af · outbound

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

Learning Verifiable Control Policies Using Relaxed Verification Safety verification and robustness analysis of neural networks via quadratic constraints and semidefinite programming,

Reference 41

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unresolved
no resolver link, observed 2026-08-16T10:56:55.327858Z

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source=pdf_text observed=2026-08-16T10:56:55.327858Z digest=sha256:7742a5a06dec2e46c9969da1c3e9c7eab67b28ebaa44fae2b7192fade581a23b

Observation 76587b71-b3e5-439c-ab3a-a86f3a0e81e6 · outbound

This paper cites Backward reachability analysis of neural feedback loops: Techniques for linear and nonlinear systems,.

Learning Verifiable Control Policies Using Relaxed Verification Backward reachability analysis of neural feedback loops: Techniques for linear and nonlinear systems,

Reference 42

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unresolved
no resolver link, observed 2026-08-16T10:56:55.331377Z

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source=pdf_text observed=2026-08-16T10:56:55.331377Z digest=sha256:9999f94fc08e93ed82ed0d9555e8174836b5ae65891ed29516c9227c4fd69b97

Pith citing papers

Observation a6b35591-5d90-498d-9fde-672e66b23ae5 · inbound

ShardNet: Training Neural Controllers with Hard, Non-Convex Constraints cites this paper.

ShardNet: Training Neural Controllers with Hard, Non-Convex Constraints Learning Verifiable Control Policies Using Relaxed Verification

Reference 26

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verified exact
arxiv_id, observed 2026-07-01T13:05:44.260291Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-01T01:19:12.424654Z digest=sha256:5c5c073e8d5b7ba7b16b4025c3306072c366c88711c6cafedffd2deaecb9eed9