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Paper Citation Record · LEDGER

Safe Primal-Dual Optimization with a Single Smooth Constraint

As of 17 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2505.09349.

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

pith.paper-citation-record.v1
2505.09349 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:48:26.491308Z

measured 22 of 22 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 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

22 of 22 outbound references displayed

  • verified exact2
  • verified fuzzy11
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c852de5a-4162-4ce5-bc0a-841e0c07c247 · outbound

This paper cites Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics.

Safe Primal-Dual Optimization with a Single Smooth Constraint Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T21:48:25.913059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:48:25.913059Z digest=sha256:84c590a7c92f56bd7cd18c306772aad756a430f27d21f0f7936d15a81cea9358

Observation 7be58a50-d392-4310-a60c-be12db90e18c · outbound

This paper cites an unresolved cited work.

Safe Primal-Dual Optimization with a Single Smooth Constraint Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T21:48:25.925530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:48:25.925530Z digest=sha256:149ebc279396bed14322777ef44e4457cba4e2ecc8042fbd93a7fa19a1fa2486

Observation c75479dc-b8e3-4cf3-ba1d-d0ee607d6341 · outbound

This paper cites Sasbo: Self-adapting safe bayesian optimization.

Safe Primal-Dual Optimization with a Single Smooth Constraint Sasbo: Self-adapting safe bayesian optimization

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:27.387649Z

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=arxiv_source observed=2026-08-15T21:48:25.956033Z digest=sha256:02f9f0c336a5c5517ec2b23cff53020031bac511e0c810739f3f3e660f36c747

Observation ea9f4b86-fdb7-4211-a19c-79a3947f32cd · outbound

This paper cites Reinforcement learning approach to autonomous pid tuning.

Safe Primal-Dual Optimization with a Single Smooth Constraint Reinforcement learning approach to autonomous pid tuning

Reference 4

Resolution
metadata mismatch
raw_fallback, observed 2026-08-15T21:48:26.964297Z

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=arxiv_source observed=2026-08-15T21:48:25.986773Z digest=sha256:30dcdfb492e4be154758b29b51a08a5d9a543f573bf2d31b3d61c128de1df9c4

Observation 09cae4ee-830f-4ed7-953a-f2870a9d6679 · outbound

This paper cites Randomized Smoothing for Stochastic Optimization.

Safe Primal-Dual Optimization with a Single Smooth Constraint Randomized Smoothing for Stochastic Optimization

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:48:26.777623Z

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=arxiv_source observed=2026-08-15T21:48:26.043511Z digest=sha256:467c6c23e26d4fe2ab90c56fb8fc43d777748b1832e776c2c9e734104096613b

Observation 467f22fe-db62-4073-88a8-d242bae0734a · outbound

This paper cites Safe Learning under Uncertain Objectives and Constraints.

Safe Primal-Dual Optimization with a Single Smooth Constraint Safe Learning under Uncertain Objectives and Constraints

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:48:26.699570Z

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=arxiv_source observed=2026-08-15T21:48:26.177795Z digest=sha256:31d25fb930027378f2f184a10444afd4f4d065362c1d4c11b24feee613c89a8a

Observation 3ea96b92-3c78-4f60-9e38-e72e130d4efd · outbound

This paper cites Safe zeroth-order optimization using quadratic local approximations, 2023.

Safe Primal-Dual Optimization with a Single Smooth Constraint Safe zeroth-order optimization using quadratic local approximations, 2023

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:27.374735Z

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=arxiv_source observed=2026-08-15T21:48:26.183373Z digest=sha256:59c270e9205fbe5d7aa8483474291f1b6083eb55d1beae9d9e8c9c6c77f772b3

Observation 76a69533-628c-4837-be0a-427418bb40b9 · outbound

This paper cites Online convex optimization with hard constraints: Towards the best of two worlds and beyond.

Safe Primal-Dual Optimization with a Single Smooth Constraint Online convex optimization with hard constraints: Towards the best of two worlds and beyond

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:27.361138Z

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=arxiv_source observed=2026-08-15T21:48:26.189002Z digest=sha256:e43a17d5093337a6d20ef5c8c0cc13afa61c912da7ebe14bc0edc987888cc87d

Observation 6411b1d0-a556-4a39-8e22-1d22d9b2af30 · outbound

This paper cites High-Dimensional Bayesian Optimization via Tree-Structured Additive Models.

Safe Primal-Dual Optimization with a Single Smooth Constraint High-Dimensional Bayesian Optimization via Tree-Structured Additive Models

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T21:48:26.680525Z

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=arxiv_source observed=2026-08-15T21:48:26.193491Z digest=sha256:2b446b2dc42b8bdd565c41fd02873ee3be6c2fedf85f924e6ddcfa21742ad381

Observation 715fb5df-f872-48cb-a16c-589ec27a7574 · outbound

This paper cites Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces.

Safe Primal-Dual Optimization with a Single Smooth Constraint Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T21:48:26.198084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:48:26.198084Z digest=sha256:09c865398e5378845e829c08b30fe23ef859db6bed89618ac0c6a19718156575

Observation 52415163-68e7-4465-ae97-964f73c3d4b0 · outbound

This paper cites Bayesian optimisation for fast and safe parameter tuning of swissfel.

Safe Primal-Dual Optimization with a Single Smooth Constraint Bayesian optimisation for fast and safe parameter tuning of swissfel

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:27.346698Z

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=arxiv_source observed=2026-08-15T21:48:26.202646Z digest=sha256:7eafb1a528aaae1c7384fa36074394a0e8d922a5a622d2ee0b42eef89362b4a7

Observation 9612bc1e-4be3-46c1-bf59-6301539e431a · outbound

This paper cites Balta, Andreas Krause, and Alisa Rupenyan.

Safe Primal-Dual Optimization with a Single Smooth Constraint Balta, Andreas Krause, and Alisa Rupenyan

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:27.242216Z

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=arxiv_source observed=2026-08-15T21:48:26.207085Z digest=sha256:c96c739ee6ef80e196f490b4008d8ad01871767a97d6fc0701cbfc5186ba5812

Observation a3cd1bf9-3997-4a56-96c3-108d357a31de · outbound

This paper cites Safe risk-averse bayesian optimization for controller tuning.

Safe Primal-Dual Optimization with a Single Smooth Constraint Safe risk-averse bayesian optimization for controller tuning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:27.136357Z

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=arxiv_source observed=2026-08-15T21:48:26.211311Z digest=sha256:e587065f482a2afeb33efcc2a3faa3b20adf9239a5bf6da240f85d7e1d2b957c

Observation b5aeeb67-e437-4939-96a6-9ac0a7636977 · outbound

This paper cites The fritz john necessary optimality conditions in the presence of equality and inequality constraints.

Safe Primal-Dual Optimization with a Single Smooth Constraint The fritz john necessary optimality conditions in the presence of equality and inequality constraints

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T21:48:26.214957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:48:26.214957Z digest=sha256:44176174d50e9c5d543209780e51aba853f7503485798c13b401f7a7f6ca3162

Observation 97d7b077-9df4-4c27-9054-1848b8900735 · outbound

This paper cites Benchmarking Batch Deep Reinforcement Learning Algorithms.

Safe Primal-Dual Optimization with a Single Smooth Constraint Benchmarking Batch Deep Reinforcement Learning Algorithms

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T21:48:26.219026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:48:26.219026Z digest=sha256:6b7d999d622171f717fb9bd03361cc9bbb9300575df1fe82eedbc5d93287825c

Observation 6c8a5afc-6e1c-42a7-bcb6-732279a39563 · outbound

This paper cites Safe exploration for optimization with gaussian processes.

Safe Primal-Dual Optimization with a Single Smooth Constraint Safe exploration for optimization with gaussian processes

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:27.073453Z

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=arxiv_source observed=2026-08-15T21:48:26.223722Z digest=sha256:792b237efdaf63a1a1133c6be44242164a8a5056340fdcb89b7b1fc7b404c759

Observation 967b1f90-9bae-4e25-9497-f96a57be03fa · outbound

This paper cites Safe convex learning under uncertain constraints.

Safe Primal-Dual Optimization with a Single Smooth Constraint Safe convex learning under uncertain constraints

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:27.059981Z

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=arxiv_source observed=2026-08-15T21:48:26.227431Z digest=sha256:49a2ee32089ba1c645edec0d3333ff25009ecbbaffb310a7ece9436d14a98b45

Observation 1e9ef741-3692-49cf-9e09-57c7f67bdfb0 · outbound

This paper cites Safe non-smooth black-box optimization with application to policy search.

Safe Primal-Dual Optimization with a Single Smooth Constraint Safe non-smooth black-box optimization with application to policy search

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:27.045430Z

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=arxiv_source observed=2026-08-15T21:48:26.232242Z digest=sha256:f9d5ace42f573abec51ce9e4fd7afad43f28b155c7d45357d93fd217e0db1a10

Observation 33e17d5e-ab82-49de-add9-f9804711f452 · outbound

This paper cites Log barriers for safe black-box optimization with application to safe reinforcement learning, 2023.

Safe Primal-Dual Optimization with a Single Smooth Constraint Log barriers for safe black-box optimization with application to safe reinforcement learning, 2023

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:27.031768Z

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=arxiv_source observed=2026-08-15T21:48:26.343539Z digest=sha256:46b950e05ca760b374fe49228af044484efc23eba6d6297ddbf9575e65fc9265

Observation b112913a-b0c9-4663-a5c5-092e13c97143 · outbound

This paper cites an unresolved cited work.

Safe Primal-Dual Optimization with a Single Smooth Constraint Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:48:27.017842Z

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=arxiv_source observed=2026-08-15T21:48:26.482343Z digest=sha256:b6737561ca70f4646a91ea5a3dfbb886c1911b996bc91d7c15a5ba32c5e6e2bf

Observation a5a31056-78bb-4e19-9563-cd1a926494f4 · outbound

This paper cites an unresolved cited work.

Safe Primal-Dual Optimization with a Single Smooth Constraint Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:48:27.004529Z

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=arxiv_source observed=2026-08-15T21:48:26.487042Z digest=sha256:aed67c6b9a513abc8935a0b7b715de1d0648bb839e732af6efbb5f23d1ad9ac9

Observation c7909fe3-16b1-4e48-87e5-ce2fee58117f · outbound

This paper cites A single-loop smoothed gradient descent-ascent algorithm for nonconvex-concave min-max problems.

Safe Primal-Dual Optimization with a Single Smooth Constraint A single-loop smoothed gradient descent-ascent algorithm for nonconvex-concave min-max problems

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:48:26.991307Z

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=arxiv_source observed=2026-08-15T21:48:26.491308Z digest=sha256:a62b409f1a0d5c1b758e54ae5c3a599e8500ab4b3ab5f243854a4d6f3a4eb01a

Pith citing papers

No inbound Pith citation observations are available.