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Paper Citation Record · LEDGER

Modeling All Response Surfaces in One for Conditional Search Spaces

As of 13 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2501.04260.

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

pith.paper-citation-record.v1
2501.04260 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:44:09.384878Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

20 of 20 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 43bd31e8-d39c-40ad-9c51-ff13d7922921 · outbound

This paper cites Simulation Benchmark The tree-structure search space of the simulation function that was originally presented in Jenatton et al.

Modeling All Response Surfaces in One for Conditional Search Spaces Simulation Benchmark The tree-structure search space of the simulation function that was originally presented in Jenatton et al

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:09.850725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6722e009-bf6c-47e4-ba79-3f65ac903aba · outbound

This paper cites linear" ,.

Modeling All Response Surfaces in One for Conditional Search Spaces linear" ,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:09.785124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4575e2b7-e28b-4cab-9d69-b03d5cefcf35 · outbound

This paper cites Raiders of the Lost Architecture: Kernels for Bayesian Optimization in Conditional Parameter Spaces.

Modeling All Response Surfaces in One for Conditional Search Spaces Raiders of the Lost Architecture: Kernels for Bayesian Optimization in Conditional Parameter Spaces

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:09.239105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d54e2d06-5953-442b-b28d-f6830ee2193d · outbound

This paper cites The number of layers in each block.

Modeling All Response Surfaces in One for Conditional Search Spaces The number of layers in each block

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:09.699952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ca17bf8b-11b3-4978-9be7-7b86081af433 · outbound

This paper cites The ratio for expending, if using the in- verted residue block (Sandler et al.

Modeling All Response Surfaces in One for Conditional Search Spaces The ratio for expending, if using the in- verted residue block (Sandler et al

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:09.673674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:44:09.343167Z digest=sha256:7ad9dbd25e485f2ec481661192b2a1c3386e46c2adcac867c85fa08ee988849d

Observation 1e28597e-6f49-4377-a15c-73a150859363 · outbound

This paper cites In SIGKDD.

Modeling All Response Surfaces in One for Conditional Search Spaces In SIGKDD

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:09.915695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a7685a30-7631-4654-a9d8-5c7c0c1cfa6a · outbound

This paper cites In AISTATS.

Modeling All Response Surfaces in One for Conditional Search Spaces In AISTATS

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:09.887599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:44:09.267395Z digest=sha256:4a8fb1cf7d992b6cfe547211478812ca67235a01332436f66d6861a20ea8d96f

Observation f7525111-14f6-4b64-85c0-73d3df8d107d · outbound

This paper cites The number of strides for each block is represented in binary.

Modeling All Response Surfaces in One for Conditional Search Spaces The number of strides for each block is represented in binary

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:09.598330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 96fd0a1d-37a2-4dca-a8c9-9322d8872426 · outbound

This paper cites The number of blocks.

Modeling All Response Surfaces in One for Conditional Search Spaces The number of blocks

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:09.814731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 350a1dc3-43d7-4138-9fd7-41497fe24b1a · outbound

This paper cites an unresolved cited work.

Modeling All Response Surfaces in One for Conditional Search Spaces Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:44:09.759630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d8da0696-c595-4692-b15b-3dab60a2c4d2 · outbound

This paper cites The size of the convolution kernel in one convolution block.

Modeling All Response Surfaces in One for Conditional Search Spaces The size of the convolution kernel in one convolution block

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:09.732874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:44:09.311027Z digest=sha256:bf756bf234eb70c1e825319afc6e4aeef140a6d8e71d033de6f70c77dc73cbdd

Observation 1494efe7-8f74-4cb1-8b18-f5dfeeb0630e · outbound

This paper cites The ratio of squeezing and expending if con- taining such structure.

Modeling All Response Surfaces in One for Conditional Search Spaces The ratio of squeezing and expending if con- taining such structure

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:09.651702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:44:09.349223Z digest=sha256:0602bfc2902c2b17d9b0a6ae3643022ee19b55a0ce843d02c40740ea9317c053

Observation 92f36cec-66ff-487f-8385-72bd436e76ad · outbound

This paper cites The number of channels for each block.

Modeling All Response Surfaces in One for Conditional Search Spaces The number of channels for each block

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:09.627282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 83f2c3ba-9a19-4b49-a183-95c4596010ac · outbound

This paper cites The learning rate determines the speed of the network’s training and convergence.

Modeling All Response Surfaces in One for Conditional Search Spaces The learning rate determines the speed of the network’s training and convergence

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:09.573279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:44:09.370807Z digest=sha256:eecb7d661714c998273fd5bea2370a183bc6af35fef9cc00bf234adaa322a7c7

Observation b29dde0d-9ac9-4717-a52e-69e4bad7a94a · outbound

This paper cites Size of the change in the parameter when the optimizer updates the parameter.

Modeling All Response Surfaces in One for Conditional Search Spaces Size of the change in the parameter when the optimizer updates the parameter

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:09.548777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:44:09.377536Z digest=sha256:f620df7d5744ea17897341418a4dc0e81ea5ff69fafa1aeb881789b6dbb415d0

Observation 9f9606b6-5d52-480d-8fc3-f164b8829cf2 · outbound

This paper cites Batch size determines how many data points will be used for training in each iteration.

Modeling All Response Surfaces in One for Conditional Search Spaces Batch size determines how many data points will be used for training in each iteration

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:09.524718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:44:09.384878Z digest=sha256:e6f3981ed032a7f99f87a6d056b034e2b238eca6144ae2045c10a7f0aa064faa

Observation fd596ba9-2dc9-4083-b721-e574c4093f15 · outbound

This paper cites In SIGKDD.

Modeling All Response Surfaces in One for Conditional Search Spaces In SIGKDD

Reference 2013

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:09.966471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 32da103a-c215-41d8-9aa5-5d7ce2f9c2ec · outbound

This paper cites Bayesian Optimization for Synthetic Gene Design.

Modeling All Response Surfaces in One for Conditional Search Spaces Bayesian Optimization for Synthetic Gene Design

Reference 2016

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T21:44:09.491952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:44:09.220790Z digest=sha256:8e85c1ddec437d149f372de6b323d9976b11f86b4f818e9a930de0412b7b06b3

Observation 9b635fee-bbde-4cc3-a110-f0842fb70b78 · outbound

This paper cites In IJCNN.

Modeling All Response Surfaces in One for Conditional Search Spaces In IJCNN

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:10.003044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:44:09.233379Z digest=sha256:274eb4a02edb1ee84f5ce41bc0cac1158445a2b891604abf86654c30d85ba9f2

Observation bc024a47-20ba-473b-b331-6fb58a4bbe70 · outbound

This paper cites In NeurIPS.

Modeling All Response Surfaces in One for Conditional Search Spaces In NeurIPS

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:44:09.940360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:44:09.253176Z digest=sha256:32529856e35b440cfd037a2784f5d327f2339c0246d719b3b53426c57205efaa

Pith citing papers

No inbound Pith citation observations are available.