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Paper Citation Record · LEDGER

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization?

As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2507.12604.

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

pith.paper-citation-record.v1
2507.12604 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:51:17.494640Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

23 of 23 outbound references displayed

  • verified exact3
  • verified fuzzy5
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 09c2723c-3d3a-4da1-bbd5-cc43f3711faa · outbound

This paper cites an unresolved cited work.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T16:51:15.443322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:51:15.443322Z digest=sha256:504c43e77c4f1635c5b0e8c19f50990a21b2161eafe83eb8841932fa299cf7c7

Observation b6e9c1be-d234-46df-865f-c21b24501330 · outbound

This paper cites Transfer Learning for Bayesian Optimization: A Survey.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Transfer Learning for Bayesian Optimization: A Survey

Reference 2

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no resolver link, observed 2026-08-06T16:51:15.522683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:51:15.522683Z digest=sha256:3212f1e6f7301e8cd33e0e360872d7e5f05528d87e2f3dcd3ef6c26dd0704b2c

Observation b8280cff-2267-4eee-9335-919ead6f2c9a · outbound

This paper cites Bentéjac, A.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Bentéjac, A

Reference 3

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no resolver link, observed 2026-08-06T16:51:15.594362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:51:15.594362Z digest=sha256:9b73f8ec23b488db2346a48c4df2fc48e5252e08c412d46f501d3cc270270624

Observation e9e6ff3f-543e-4fa3-a561-50985c3f7f79 · outbound

This paper cites Chen and C.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Chen and C

Reference 4

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unresolved
no resolver link, observed 2026-08-06T16:51:15.676945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:51:15.676945Z digest=sha256:1284b04240ce749391546c7a24820e2b49e73977158775582f9d3893b6149cf5

Observation 4d641218-5add-4a56-839c-7fa114042eec · outbound

This paper cites Davenport and R.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Davenport and R

Reference 5

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unresolved
no resolver link, observed 2026-08-06T16:51:15.741393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:51:15.741393Z digest=sha256:1dff0104327eb92120e344704d21a0e8208fd8a0d61de8157ecbc4b48a080f25

Observation d39cc8b4-861c-4dac-80cd-a4ca6724a799 · outbound

This paper cites Feurer and F.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Feurer and F

Reference 6

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unresolved
no resolver link, observed 2026-08-06T16:51:15.814801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:51:15.814801Z digest=sha256:402d7961b4fa19138a260dfe70dc658e898c7f81a3c5944480a4be83b6519315

Observation 46f64940-dc93-4595-a7b1-55f48cb849e2 · outbound

This paper cites Feurer, J.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Feurer, J

Reference 7

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unresolved
no resolver link, observed 2026-08-06T16:51:15.896650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:51:15.896650Z digest=sha256:3ebe1576513c7c0841ae0e2e86f67f22e360467f42890bbccbc6ff0a1d7651f0

Observation 9bdbfd6c-3e03-4edc-81f3-9012c9b47e18 · outbound

This paper cites Friedman.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Friedman

Reference 8

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unresolved
no resolver link, observed 2026-08-06T16:51:15.959355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:51:15.959355Z digest=sha256:dd12c38c43204697b3fdc15d8502d4247f5c3b04301cefa1556920741b8f0a96

Observation 424b0291-d338-422a-a4bb-3056919c6f57 · outbound

This paper cites an unresolved cited work.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:51:19.172164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:51:16.107769Z digest=sha256:b67cda1bdf888cf61c9d6034389525872ab8ac72ab8dc0ffa7438c0c5af79949

Observation 87c30539-6af2-4b86-8986-f24bd1fd2f37 · outbound

This paper cites Ismail Fawaz, G.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Ismail Fawaz, G

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T16:51:18.982819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:51:16.221036Z digest=sha256:31c7018362c6d4af7bd259e76a7401c6fd3ad6fb71cd0775d9e63a8ad3c0a603

Observation cc948034-6f71-4fa3-8bed-f5d76a4dbbc2 · outbound

This paper cites an unresolved cited work.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Unresolved cited work

Reference 11

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verified exact
doi, observed 2026-08-06T16:51:17.631740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:51:16.364806Z digest=sha256:e186511a33cc24cdeeb2b06d874e10034a09bab1a1d8047232a1eb7cc46d96f0

Observation f6ae0ae5-d31f-4f93-b1d5-59d7670a46a9 · outbound

This paper cites an unresolved cited work.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Unresolved cited work

Reference 12

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unresolved
no resolver link, observed 2026-08-06T16:51:16.452720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:51:16.452720Z digest=sha256:4463374873083a293a058e88e3daabcc8503e7ff9b6f3c4d7320864568adce29

Observation e2119506-7136-4c0d-9f60-3f4e34a27513 · outbound

This paper cites Learning to Warm-Start Bayesian Hyperparameter Optimization.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Learning to Warm-Start Bayesian Hyperparameter Optimization

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T16:51:16.567307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:51:16.567307Z digest=sha256:a56516905c6710f013e0b76db6954445bcff1de1cb62e70a59e5b80687b0478a

Observation b70065d7-7681-4372-828a-9bb38e7f7a78 · outbound

This paper cites an unresolved cited work.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Unresolved cited work

Reference 14

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unresolved
no resolver link, observed 2026-08-06T16:51:16.703121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:51:16.703121Z digest=sha256:84944ff526d3b139effe0c46e89d9f9c6da62abe2c0f8e624e3072afbbdaf8db

Observation 21988cd2-483e-45e6-b80c-3cac8d39aec2 · outbound

This paper cites Deep Metric Learning for Computer Vision: A Brief Overview.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Deep Metric Learning for Computer Vision: A Brief Overview

Reference 15

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verified exact
local_arxiv, observed 2026-08-06T16:51:18.016520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:51:16.779400Z digest=sha256:010f3e1633b4d3234699c3425c0767fb7959bf745d5fb5879093223a0bf0e8a6

Observation c3ed9b4f-0a3f-4d61-847c-5af5d941529f · outbound

This paper cites Probst, A.-L.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Probst, A.-L

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-06T16:51:18.813391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:51:16.833899Z digest=sha256:11fb44fb6c44beb3c7744491dfedae994ddda4a1871f2448bc5d1acf2fe3ff80

Observation b61893a8-bfe1-432f-ab80-9dc63e9c3dbe · outbound

This paper cites Rethinking of Encoder-based Warm-start Methods in Hyperparameter Optimization.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Rethinking of Encoder-based Warm-start Methods in Hyperparameter Optimization

Reference 17

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verified exact
local_arxiv, observed 2026-08-06T16:51:17.921663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:51:16.909448Z digest=sha256:748bebabc018b6a9351d3e30672153cca088104d6e4bcfabaec6d04eebd4b3ec

Observation 0dca5fcf-2b62-441a-b4b8-8a84a9fc1557 · outbound

This paper cites Rakotoarison, L.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Rakotoarison, L

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-06T16:51:18.686907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:51:17.056120Z digest=sha256:6ddec34bcd21db3223429f40891021771fcedee2e65016dfc967b29ae43631f9

Observation 82cc45b6-ea93-4965-a9c1-30e6ac2b0328 · outbound

This paper cites Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020

Reference 19

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unresolved
no resolver link, observed 2026-08-06T16:51:17.176438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:51:17.176438Z digest=sha256:1237ab67b8900b587e5cadb86ca6944829ec2df507e7de5c233fb12011c0c8a7

Observation c5139297-8537-4e55-a25b-72591d01bd4d · outbound

This paper cites Vanschoren, J.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Vanschoren, J

Reference 20

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unresolved
no resolver link, observed 2026-08-06T16:51:17.282108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:51:17.282108Z digest=sha256:79bfe3eb2a0936417857d06b06d442784b775496270e3078295f6cdbe3b9fae2

Observation af4c5250-66a4-47f9-a6ab-47400a098452 · outbound

This paper cites Wistuba, N.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Wistuba, N

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-06T16:51:18.596009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:51:17.334186Z digest=sha256:2a31d04629baa50d60d77d4d016c60452ff4d6b088ec4ba6ded6eb4808d9e946

Observation f6ae9512-7fb9-4133-b9e0-414e58ffa1cf · outbound

This paper cites Zaheer, S.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Zaheer, S

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-06T16:51:18.524809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:51:17.430239Z digest=sha256:791e4f00cf66f7e79908126622af65395f95682c58cc1149621692598d582d2e

Observation 382a500d-eee2-43cf-942c-039b78fe8fa0 · outbound

This paper cites an unresolved cited work.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Unresolved cited work

Reference 23

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unresolved
raw_fallback, observed 2026-08-06T16:51:18.463623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T16:51:17.494640Z digest=sha256:f09bfd8b6952c7bb570fc6b67c04afa902bb14cc84b10b0f6c816ec828f50541

Pith citing papers

No inbound Pith citation observations are available.