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Paper Citation Record · LEDGER

Hyperparameter Tuning Through Pessimistic Bilevel Optimization

As of 18 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.240886Z digest=sha256:287d7d252314a592f5df73e55c8e28022f42145b940090bde3a885329abaf968

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.246242Z digest=sha256:ea6ce7e29d8c9e04e1aedeacd426c893b0e91c2de7801d0f367520584d3bac1a

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.251276Z digest=sha256:87e88bfa1fb8db78ef54f873628d46eb628be6cca068cace227abae3865fe69d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.256441Z digest=sha256:2684d31e5ac87e0ab72558bf768fbab480b8d2ce84ddb211f876c10c565f4d30

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:b60daf3c45e7f60f3d8c000993dc116cc527c9556ffe5d536cf5a825f5fd33c1

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.267677Z digest=sha256:16ce29c0b4c6d2c2b8d4fb2304c107e455d6882ff7905aefbe83a4e18423a307

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.273897Z digest=sha256:7641ff029b34e675cf67627a4424a13f8ba8e1c8d58ed0e41b609a6ec5cd5f3f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.279222Z digest=sha256:6b7537e678389868527dbd8f27ebfcdb5ef62472eb0b55407d237872fca5c8ea

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:f78388a0f8c1e363b7ac89d17464413ef666eb98775c743c036d503fee31f38f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.288627Z digest=sha256:092feeab1107539e68dea461a2589f251978d681c565a434b17b347694e2113c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.293073Z digest=sha256:012b0cd832aaf95357052c786846653351f29478226753b449f90495d77fa18f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.298049Z digest=sha256:7c3b9ebe60f5559191108a933aee27b7c23743c7365e266979d88f1b1f51ee87

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.302913Z digest=sha256:59439d68b2a7fb78419ed5eada3a23c43e5a2993e73ec810c34f00dd2f7328f1

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.308059Z digest=sha256:2720d8532ef245b96b5477ad6c8f9605280d25687a9728c5d466a370957891f0

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.312589Z digest=sha256:1657ac1c11fd5cf095dd3c6956477b494c2bd130341056c11643545d71da2a48

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.317273Z digest=sha256:d677f78c093cbcd11613bd79c0adf3267fdfe5da44bb122e4d767002eaff8830

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.322025Z digest=sha256:5580db1f765662e9538ed37a513a873ff7c28106fd5b6859078715d5d7d3f920

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.326668Z digest=sha256:24af2b0a57e92fda5f37639170938609fd4773889b9c117750dc5e73d83b1841

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.331162Z digest=sha256:bd286db139df7f2e74ecaa43544545b0ba61f58babcc118b47243000db5af516

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.336285Z digest=sha256:510eda3fd6d8eb39536c1ee46f7e122d7c48d8b1c4518156cd5c0e89521f8c25

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.341285Z digest=sha256:41db90306122b1ba7e0233157d58e9b12e6b4b72cee9a18a8c5da89ef4d24186

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.346373Z digest=sha256:47164c05512f3d6e011b26e8bc15609982307eee11df5e863f174117d100d9ec

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.351105Z digest=sha256:d676362b3c3d059f4673b4911ee352e7bfc6be5631e52bd86957e9199f3da65f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.355632Z digest=sha256:74e7d28933a388428b52767a19b759245e2dbd4b5ad0ed23c8ba043322fba208

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:20:50.360256Z digest=sha256:a88dc19deffe26e896b6e528226ea8f68345c5e15e3f10a04a3da037a119ed67

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-09T13:55:50.997109Z digest=sha256:3bfea34d11899ccc53314f114732388ddd765c3798d616597e746226b73b47bb