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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=sha256:7eda9ee939c3abf1d02b9c2d8e254f56a91397d99ba22518d7da5538de9ac285

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=sha256:3d1a8939475b56bc0f3945b2031df9bdcce9c862922d66e3128fc6218843c484

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=sha256:9ce6006064d796d710f20192989c299c92c0f36e30cc14d5875f866bcb69d68d

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=sha256:2d39168531352d692c6e6234859d2dac28dbaef500f880aea1f74f6aa7ba610b

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:a3b387fd5e627ede881043f6387056ed181aee37c030678d7f7c55ce546d0774

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:b8de2930d882f1b694c61d65e59f3a5c8a0e1b393664a8fb125ef879085f5038

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=sha256:1b901d3ec7fc60ea06e4c7e72ca391bb5e1bc9b9ab3a7958ff1e96356844ed70

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=sha256:3145adc2724b6b16d3fd49746af1dd7941e2c62bafc884617097a3d892c46a86

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=sha256:0b0486fb4fe8716515bc4f8cc6c60268cf872bb7e7110202237baaf3a8d0d7e0

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=sha256:0b56d93ce3d88cc482b3836f6e6ebefb43a470d9045d2a66fe94e32993b1f2c4

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=sha256:4959a71ff08b64cf6034b2163587110019c16be62922f6312f300780e4b23c50

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=sha256:77f3727fdd36100cdfe6b919f9f0b79402c0366e11f5da4bf26eb59184460b74

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=sha256:18afd94f73e6cef8d33feb21bfacb5ba2fa6093f26b9225c194ef447ae0d973a

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=sha256:1c6bf8ef77a2956e2de33eb0d593494c99f78127f03a7fdd335be09c7e94878e

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=sha256:42a2536954d8c3bccee0ab53ffdaca01fe34285fda1136b3488879826a361f5b

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:ea85fe3a9a72f0dfb77448ac30c354f39b42a21813255e8593d8bca181230edb

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=sha256:0cda0f2d734972bec609bc3413c7d1e508da6b0180a70eba7b7f21a8437bd4b3

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=sha256:948a492eebd30244caa5b8b4357fd6b04e59daa699120e4f16e515aea643c72c

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=sha256:3c01de30f970d8f0b895efe4ee87174ab465096aedccd0d15b9fc5d52d3a2d60

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=sha256:737aed6c90db852bffb553c25b821c3c82fd4082ce40cbd490a496f0c3d10b34

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=sha256:8b1117330cee8f942835ce9b8832c97e210a7757abaf94c0826e097dc86d7ad8

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:c175b71565724217d654e6d88ea763571707573d0bac257dac5a38ca3e47a29e

Pith citing papers

No inbound Pith citation observations are available.