Pith. sign in

Paper Citation Record · LEDGER

Kernel Learning for Sample Constrained Black-Box Optimization

As of 23 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2507.20533.

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

pith.paper-citation-record.v1
2507.20533 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:47:28.680625Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 67641525-521c-44f0-8fae-e1489b374926 · outbound

This paper cites an unresolved cited work.

Kernel Learning for Sample Constrained Black-Box Optimization Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:47:28.832536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:47:28.655654Z digest=sha256:b2abcc2e5091ccf7a7d6f462e132ddbf2255409b1ee14f9538be9be2c2c81304

Observation 1952b068-1cd5-4662-b055-3e11a0041944 · outbound

This paper cites An Intuitive Tutorial to Gaussian Process Regression.

Kernel Learning for Sample Constrained Black-Box Optimization An Intuitive Tutorial to Gaussian Process Regression

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T17:47:28.659390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:28.659390Z digest=sha256:567b93427a7a1f0b86c3efddb9d4dc10dfba339192798ed6f082ed230cc13858

Observation 47fcd126-cbde-4665-8adf-e414ca7c4948 · outbound

This paper cites low effective dimensions.

Kernel Learning for Sample Constrained Black-Box Optimization low effective dimensions

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:28.822870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:47:28.662818Z digest=sha256:25cc486d70fdf2432bf964bf58c5cc31fd087346f911947723fc4f0d44893013

Observation 6f5b0909-57be-40fd-9b67-b32301171c55 · outbound

This paper cites A note on KerGPR’s kernel: We do not learn KerGPR’s kernel – its objective, Model Evidence (Eqn.

Kernel Learning for Sample Constrained Black-Box Optimization A note on KerGPR’s kernel: We do not learn KerGPR’s kernel – its objective, Model Evidence (Eqn

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:28.811243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:47:28.667570Z digest=sha256:d2b1b15a7679a4d34533b9413ae7486cea9ca5ca7d1a2d4c08cc526876024598

Observation 68970790-f3f0-49eb-858d-1c069948ae3f · outbound

This paper cites an unresolved cited work.

Kernel Learning for Sample Constrained Black-Box Optimization Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:47:28.800751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:47:28.670701Z digest=sha256:1c7ae6f47266444167338b22b8782380994a48ee05bf5fe02b446442a290e111

Observation 8c823ec3-2f72-4a6a-af7e-4f934d48bca0 · outbound

This paper cites an unresolved cited work.

Kernel Learning for Sample Constrained Black-Box Optimization Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:47:28.780242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:47:28.677063Z digest=sha256:14ded68d2a764d0ec278cafe6841161d29c809d0106c954b7b27e67e45721ee9

Observation b8255518-0998-4772-b1bf-9dfb1dbf8462 · outbound

This paper cites G.; and Rardin, R.

Kernel Learning for Sample Constrained Black-Box Optimization G.; and Rardin, R

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:28.842606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:47:28.651815Z digest=sha256:5bbb37111480e69fa803ad4e5274aae87c4aabfd9712eb697f4de8f7e5481442

Observation 98c3bdbe-20da-484e-a762-39f2e365686b · outbound

This paper cites if a user rates few pictures generated by the model, can the model find the “best.

Kernel Learning for Sample Constrained Black-Box Optimization if a user rates few pictures generated by the model, can the model find the “best

Reference 2011

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:28.770005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:47:28.680625Z digest=sha256:ede9bb89a56ca1f8fa2b156865e2fb2d10c17abee793f35655e8ed83227db3e2

Observation 8b105304-2a1c-4378-850b-4fd80dcb917d · outbound

This paper cites Exploiting compositionality to explore a large space of model structures.

Kernel Learning for Sample Constrained Black-Box Optimization Exploiting compositionality to explore a large space of model structures

Reference 2012

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T17:47:28.729112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:47:28.638695Z digest=sha256:1bbeaa6b04a4b343a2b50881895ad99dd742aff0befd78fca4023a75568cbed5

Observation d790e45b-5cfe-44d1-8929-919aa56f38aa · outbound

This paper cites Auto-Encoding Variational Bayes.

Kernel Learning for Sample Constrained Black-Box Optimization Auto-Encoding Variational Bayes

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-08-15T17:47:28.642867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:28.642867Z digest=sha256:44e59dc3ce19f8530758cf8ee333d435064887c37c0dfd033a6d33a91f5d4a67

Observation 3e8b3d6c-0fa5-49d3-9011-862bd0828d95 · outbound

This paper cites Bayesian Optimization for Synthetic Gene Design.

Kernel Learning for Sample Constrained Black-Box Optimization Bayesian Optimization for Synthetic Gene Design

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-15T17:47:28.634403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:28.634403Z digest=sha256:cf5099ba1296c2e48e3934c808126fbccc5384b15c85c65cbec86783a4d8ee9d

Observation dd2aa327-651f-4672-bc05-4fd944a77ecb · outbound

This paper cites kernel kernel.

Kernel Learning for Sample Constrained Black-Box Optimization kernel kernel

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:28.790057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:47:28.673853Z digest=sha256:b976f197666adf9624517b05cde7e1cfbb2b8be8bc97795b51ef0d504f47fe67

Observation e28b3406-03c2-45e2-b388-6369047b035b · outbound

This paper cites In International confer- ence on machine learning, 1945–1954.

Kernel Learning for Sample Constrained Black-Box Optimization In International confer- ence on machine learning, 1945–1954

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:28.852693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T17:47:28.647679Z digest=sha256:da7aa6c5c79c47f71ca09df56f5788269a85b4cf4fe597c645f377153446c952

Observation bc8d5f26-528f-4655-8b94-5d1cfa00653b · outbound

This paper cites A Tutorial on Bayesian Optimization.

Kernel Learning for Sample Constrained Black-Box Optimization A Tutorial on Bayesian Optimization

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-15T17:47:28.630597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:28.630597Z digest=sha256:bbb76e76aadf2d59f6d1009e65946f1aa79ea2810e62ff90d118ef66283b39be

Observation fdf9664a-9391-49e9-9b2f-f26b075595ff · outbound

This paper cites Taming Transformers for High-Resolution Image Synthesis.

Kernel Learning for Sample Constrained Black-Box Optimization Taming Transformers for High-Resolution Image Synthesis

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-15T17:47:28.625530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:28.625530Z digest=sha256:7523eaadfaae26005b62786ce9637a5eafe61e21a18f66125665edc41d327190

Pith citing papers

No inbound Pith citation observations are available.