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Paper Citation Record · LEDGER

Robust Multi-Objective Bayesian Optimization Under Input Noise

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2202.07549.

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

pith.paper-citation-record.v1
2202.07549 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:13:53.509845Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

6
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b0cf586f-6b8f-4e16-b4f3-0fcf3b61bf53 · inbound

Multi-Variable Batch Bayesian Optimization in Materials Research: Synthetic Data Analysis of Noise Sensitivity and Problem Landscape Effects cites this paper.

Multi-Variable Batch Bayesian Optimization in Materials Research: Synthetic Data Analysis of Noise Sensitivity and Problem Landscape Effects Robust Multi-Objective Bayesian Optimization Under Input Noise

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:02:07.761712Z

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=2026-05-22T20:58:32.436749Z digest=sha256:c768e46730a1cc10fe5fdedd3b158089f00cac72c0dac79780e586ec4becefef

Observation fdae8e29-b113-42f9-8ed7-9feef875c404 · inbound

Learning Explainable Dense Reward Shapes via Bayesian Optimization cites this paper.

Learning Explainable Dense Reward Shapes via Bayesian Optimization Robust Multi-Objective Bayesian Optimization Under Input Noise

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T11:13:53.509845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:13:53.509845Z digest=sha256:9012460dcd6aaf2dc9153b8a012d43bed82e28b11e34f36aacef71944f128015

Observation df928731-74bd-408a-9f3b-959f45248a89 · inbound

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial cites this paper.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Robust Multi-Objective Bayesian Optimization Under Input Noise

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T22:08:20.269080Z

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=2026-05-13T22:06:48.152555Z digest=sha256:c259467ea178b2d1c0dc81dd9736cd3140f100335d2c215760c428280ecf2a98