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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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=sha256:25c13f786a75294634a811d402a16d60760c47284a40ce89f2e1cb88f9efcc28

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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unresolved
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=sha256:15bc1f1676ddec0a728183d173f4d48e0a3bcc7ec05d92027ea59271bb4b30c8

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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unresolved
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:ef647c4fe6c258cdcafc884542eba7a60f073d8d59a6caea29b6bcce342985e9

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=sha256:58316f97fb645688f0f397853b41d75de2e8c3d225242f198bceab30f49d4728

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=sha256:6eb00592e2d98d7921d380e8c26ef920848e32e18e962fc3e9273b4f47900762

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=sha256:9d9a812e94136a01e61a1b424265d902fe28d6cfbacbd24ffb242548634b758f

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=sha256:59048353f5fd91a6266757c4e3ba40e43a4c22c3f042ab11de99c2f313b08472

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=sha256:56a084e79661328b3e6e657a5ed57fdb2ebf800e9df0f9857aba1aa58b3f882c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T16:51:16.107769Z digest=sha256:2e78378aab7a64e2b8ab0dafe5c4a6304ce14a32972d0a494f3311841a9d7e17

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T16:51:16.221036Z digest=sha256:8975a1cee6546f5358a2998bd7df61fb4b2c8803300e4df630b8375f1f7f8ea4

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T16:51:16.364806Z digest=sha256:f5ba6d2d3e94981ed159ba3622555166355ed9282a3e9ad905ac326f97fb661b

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:ca377ad09838435965d8509db8e1c266cd53551c22925219ffe4e09e2ad522af

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=sha256:424bcb5f792822d2c845d94f455bec67ee28b7ef98b20f3766a78f49d997caa7

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

Resolution
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=sha256:5e86af2745f7f5dd2e9f245136d224989e37542dcab6fef7fbdad640534d3251

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T16:51:16.779400Z digest=sha256:9aac7df5f1a0b7a4c0f937e1e67c2a44a7305de948433393aaea5a72cc6e0b66

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T16:51:16.833899Z digest=sha256:b838e163f704c9d8d61bae3dff27e711b6626e2ef9f0841d21f08324b1d74ba4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T16:51:16.909448Z digest=sha256:59393310cc653bd1fe37e2351b6ae837267571c4142ef3f9f9a06f68cf5f4196

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T16:51:17.056120Z digest=sha256:14c21a198d5cb5989d5a4d8faf3cc75ca742920df31f983ac7da026a328e6104

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:aa539a6b273539160f8f2a7bab6bb22c066763904233075b2fa01a6d4ed889b1

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=sha256:278c12944801f7b2e263ad50fa338c829d8f44b4f1793726ed8a301960ba767f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T16:51:17.334186Z digest=sha256:df1d0c0ba67834f6cfd2fbfff9b11fbf800663bbcd3ffb491fb0430b7c13638e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T16:51:17.430239Z digest=sha256:2d195266bc972f1ea09f8450ded323cac9849030f6ea6a3a1eed1e5c59353766

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T16:51:17.494640Z digest=sha256:cce3788575786bd8a033fc13dc0b6f925d0c7dc23cf7967a54dbcbfa499632ef

Pith citing papers

No inbound Pith citation observations are available.