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Paper Citation Record · LEDGER

Hyperparameter Tuning Through Pessimistic Bilevel Optimization

As of 12 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2412.03666.

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

pith.paper-citation-record.v1
2412.03666 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:20:50.360256Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T13:55:50.997109Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T17:06:04.572624Z

Reference resolution

25 of 25 outbound references displayed

  • verified exact3
  • verified fuzzy20
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8615dbcd-4785-49ab-9b0e-956664df85bb · outbound

This paper cites Weak linear bilevel programming problems: existence of solutions via a penalty method.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization Weak linear bilevel programming problems: existence of solutions via a penalty method

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:20:50.783205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.240886Z digest=sha256:f8fe099bf415defb25fc98c81e4818c765d057c7f5ac2cb51a9717774ed63e26

Observation 8149eff9-c8ec-48fc-94f5-b8b8b374b862 · outbound

This paper cites Model selection via bilevel optimization.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization Model selection via bilevel optimization

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:20:50.767788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.246242Z digest=sha256:4ef0c3ed9d05be7fb12196661272d53d248f8002345b90f4812f5f4af34d47d6

Observation e79b2c67-a09e-4b95-83f1-4750cf80394b · outbound

This paper cites A regularization method for ill-posed bilevel optimization problems.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization A regularization method for ill-posed bilevel optimization problems

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:20:50.752171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.251276Z digest=sha256:f1523628fc48fa6dfa1caf9b810e91005d2de2a37f54defeba1f8e0ee43608ca

Observation 3a8e703d-888d-4b99-ae68-a5169a7f00bb · outbound

This paper cites Evasion attacks against machine learning at test time.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization Evasion attacks against machine learning at test time

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:20:50.736613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.256441Z digest=sha256:d50f6e7a5f18513c8e214e211a115c1b4d35712c93d17347aa77becd91a78ea2

Observation 8dcce7df-4477-4598-bf02-25e9d44459fa · outbound

This paper cites Foundations of bilevel programming.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization Foundations of bilevel programming

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T22:20:50.261777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:20:50.261777Z digest=sha256:afa924a9490d7e8fee1ec9b2e7a0bf6ee38639e89f0ef10842a13ca220c124db

Observation 6e5feca5-4173-4e9b-86d9-2064fac2ee57 · outbound

This paper cites Bilevel optimization: theory, algorithms and applications.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization Bilevel optimization: theory, algorithms and applications

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:20:50.711522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.267677Z digest=sha256:b7da97b5a27146c1746f8620f0425fcb05d27eb0f3913ea3b721237eb20a0919

Observation cc8c28e1-ed36-49bd-b50e-81a71694771c · outbound

This paper cites Necessary optimality conditions in pessimistic bilevel programming.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization Necessary optimality conditions in pessimistic bilevel programming

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:20:50.695383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.273897Z digest=sha256:9a48c7a5d4ea0a4e85305896c7e759abcca32fed83a967b0ca52dbe2d356516f

Observation 6969fd3c-ddda-4dd5-a030-8116e8e65f7f · outbound

This paper cites Generic methods for optimization-based modeling.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization Generic methods for optimization-based modeling

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:20:50.679580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.279222Z digest=sha256:0c959059aba4792b7c005086fdebbc00e03ce712f5514030467364bd2cf6387b

Observation e7d4f756-11ab-4bd9-b8b5-e59dc0927eab · outbound

This paper cites UCI machine learning repository, 2017.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization UCI machine learning repository, 2017

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T22:20:50.283922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:20:50.283922Z digest=sha256:a3a69e664b95393a314ed65a0d47b71b55262cb3d814106b933160592e1b5943

Observation 400123f8-7dd6-48b9-a25e-7e0cc617cfcf · outbound

This paper cites Forward and reverse gradient-based hyperparameter optimization.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization Forward and reverse gradient-based hyperparameter optimization

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:20:50.653067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.288627Z digest=sha256:917e5e8d834944dd26931154161ad1ff60463be58735fa7a7a11e1a80ec467f3

Observation 7f598fa4-28db-488f-b4a9-18fb97ea896e · outbound

This paper cites Bilevel Programming for Hyperparameter Optimization and Meta-Learning.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization Bilevel Programming for Hyperparameter Optimization and Meta-Learning

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-11T22:20:50.448276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.293073Z digest=sha256:0a3e239a2a2a6d6e3fc8725fa1d463db9feb79da78aa820df021f107f402de4c

Observation 65b9a67c-e06d-4b41-a49f-5d4f7cbf616e · outbound

This paper cites Value function based difference-of-convex algorithm for bilevel hyperparameter selection problems.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization Value function based difference-of-convex algorithm for bilevel hyperparameter selection problems

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:20:50.637228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.298049Z digest=sha256:3c2afcc72921b7110e527efa627e156ecc8a62efe54a375c2b52a4a6e7fa34e6

Observation c007c077-7b59-4c7c-9916-f4a4da315984 · outbound

This paper cites Deep bilevel learning.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization Deep bilevel learning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:20:50.622262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.302913Z digest=sha256:ba539efcfa9995dcafdb52630698b3a38db02f3bcfaa6226928f43ff7b9d8465

Observation b4e392a0-b0ee-449c-99b8-508ab7398136 · outbound

This paper cites Bilevel model selection for support vector machines.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization Bilevel model selection for support vector machines

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:20:50.606327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.308059Z digest=sha256:44662def9c055ad019596d199bc1244f40aa6d676658a272ff0beb48c502f5cb

Observation f42ebaab-2a69-4eb5-b0db-5bdd5ed9d381 · outbound

This paper cites Pessimistic bilevel optimization: a survey.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization Pessimistic bilevel optimization: a survey

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:20:50.591348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.312589Z digest=sha256:59b3f145e6a510accfafaf733bc9e4d865b8050bb9d21c33a9f46df8d7bb2aa7

Observation cdcab41c-0688-4b4e-acef-d4928ef2b4fc · outbound

This paper cites A generic first-order algorithmic framework for bi-level programming beyond lower-level singleton.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization A generic first-order algorithmic framework for bi-level programming beyond lower-level singleton

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:20:50.576250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.317273Z digest=sha256:308f00f9afc8f7ed1a011584478bf7e4508511973a92bdd34554c357dc65a6b8

Observation d5f18534-2aa4-40e3-a456-26df585c9884 · outbound

This paper cites A value-function-based interior-point method for non-convex bi-level optimization.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization A value-function-based interior-point method for non-convex bi-level optimization

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:20:50.560853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.322025Z digest=sha256:aed1923d8627f1a7873b9cd34705d935f68859179fffeea1c332c82d0f974874

Observation eb8d02df-6665-43db-ba6b-1b4678e0155c · outbound

This paper cites Weak via strong stackelberg problem: new results.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization Weak via strong stackelberg problem: new results

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:20:50.545336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.326668Z digest=sha256:2ab791b7e6452552b3b97566f7a5467ab012125de30940ee2f741684bbf66008

Observation b38bf1fe-2d10-4a31-a94b-9484be176ad8 · outbound

This paper cites Gradient-based hyperparameter optimization through reversible learning.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization Gradient-based hyperparameter optimization through reversible learning

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:20:50.528918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.331162Z digest=sha256:c0620bec61344a80ba6d3af71584717ec3ffa78ab8615e95036fe85822c54ff5

Observation 7a250592-0733-40dd-a773-68eaa80b9c76 · outbound

This paper cites Penalty Method for Inversion-Free Deep Bilevel Optimization.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization Penalty Method for Inversion-Free Deep Bilevel Optimization

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-11T22:20:50.427030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.336285Z digest=sha256:b58125cfadc72226ba4377aa71a6452a8f5cc376e4cf5a3e1164a40e24c530e0

Observation c201e4fd-7457-438a-a751-3673ceefa07d · outbound

This paper cites secml: A Python Library for Secure and Explainable Machine Learning.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization secml: A Python Library for Secure and Explainable Machine Learning

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-11T22:20:50.404750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.341285Z digest=sha256:78abffa2481e40ba5b9ff088dd145da05a472c9b0a474986493c1c7b5e13370b

Observation a22c8212-1e09-4ad6-a349-3321a1132bda · outbound

This paper cites Hyperparameter optimization with approximate gradient.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization Hyperparameter optimization with approximate gradient

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:20:50.513017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.346373Z digest=sha256:35b2aa4fbf161484e7d0a694a8d0d82ab1605510c1f95afc816560c368c35738

Observation 96b47c4a-7851-499a-b3a4-89e471a699d2 · outbound

This paper cites Pessimistic bilevel optimization.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization Pessimistic bilevel optimization

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:20:50.495705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.351105Z digest=sha256:a063f9455bd23d21c20dbbf315e303ea416a0080d3416cf8723e27874820f5f9

Observation 6ad5b034-7701-4819-bf4a-ae1f6c008cd5 · outbound

This paper cites A practical scheme to compute the pessimistic bilevel optimization problem.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization A practical scheme to compute the pessimistic bilevel optimization problem

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:20:50.479463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.355632Z digest=sha256:51c8a739f100321af1718a0796ed98c151f49e5efe95df4d8092aedd0f74fbf1

Observation ab750a23-4562-4b6d-9cee-94d0a5dba30e · outbound

This paper cites A solution approach to the weak linear bilevel programming problems.

Hyperparameter Tuning Through Pessimistic Bilevel Optimization A solution approach to the weak linear bilevel programming problems

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:20:50.464103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.360256Z digest=sha256:b24fdae35591886d2d56859948ce9968a31a5d3f32f17394791196166b006d67

Pith citing papers

Observation 440a5203-4045-4340-8c95-572dbf95b8d0 · inbound

Bilevel learning cites this paper.

Bilevel learning Hyperparameter Tuning Through Pessimistic Bilevel Optimization

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:06:04.574172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-09T13:55:50.997109Z digest=sha256:8b2f6a402e8291f243363e2b632adfb28fd62117895da69285fd282dcf827364