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Paper Citation Record · LEDGER

Kernel Learning for Sample Constrained Black-Box Optimization

As of 20 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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:47:28.655654Z digest=sha256:2885a6f59a3583924d7d714b73e10da8ca9bc8fcf8a8914a39863be0fb6b6f50

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:47:28.662818Z digest=sha256:ca17b9358a8ed8d9a03cdf0a9bb04ad213e0aa91e2edc3cc8ba132e6558730c1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:47:28.667570Z digest=sha256:dfe21e8b49bbf9bb0cd84df77e6fd1fbb7517a09beeffeee917ee6c1dae54618

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:47:28.670701Z digest=sha256:1da10e332aa0892067ec4f67f8b731b5e62cd7c2d3c5e6b7db20bdc54432d230

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:47:28.677063Z digest=sha256:aaf914df44e33cf9b210ea1f715c3707d1cc72b0f302c07a51b6173fa11b32b9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:47:28.651815Z digest=sha256:3cb197288ef37871b887157d2093ef0195812261218f6951cbd8ffd17f5b521e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:47:28.680625Z digest=sha256:557fffcd6c22666958fe379b0ed3a9150ea74526d115086e738f949f5d3fd0a2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:47:28.638695Z digest=sha256:8a5b873292214bca6c8b687400c1c71d1e293a049fa541e625e27a3a99b7fb16

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:47:28.673853Z digest=sha256:a7e7a0119fb472d64dc72d20b18971544269037fde5b26f48c6cdc50863e9d3e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:47:28.647679Z digest=sha256:869751b4ae44cb61f6acb0892e0288de056ffd4815fa212cb2f5a68cc17af0f4

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.