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Paper Citation Record · LEDGER

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets

As of 8 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 1 inbound Pith citation observation for arXiv:2506.04509.

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

pith.paper-citation-record.v1
2506.04509 v1

Coverage vector

measured 80 of 80 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:46:15.889771Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:56:14.115224Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

80 of 80 outbound references displayed

  • verified exact0
  • verified fuzzy72
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ea701ce2-bebb-419c-9ca7-553efbc82241 · outbound

This paper cites On the value of user preferences in search-based software engineering: A case study in software product lines,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets On the value of user preferences in search-based software engineering: A case study in software product lines,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.525479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 971d04d3-c506-46ec-8146-f0f92f30d8cc · outbound

This paper cites A case for automated configuration of variability-intensive systems,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets A case for automated configuration of variability-intensive systems,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.517910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.696209Z digest=sha256:44bef687cb7c4b0194fc1490b4fddfa1f7974f2d00cc4164a599dc990c0d5088

Observation 514bf91a-9c13-41fb-934a-5ddf37372deb · outbound

This paper cites Search-based software engineering in the era of modern software systems,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Search-based software engineering in the era of modern software systems,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.510993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.699060Z digest=sha256:1feb99268e478c092c53dfadc6a3c9bca3f1e63b6140c82d1def2741a755d44d

Observation 6a07a639-fe8c-4d5f-9dfc-aa7ec0330531 · outbound

This paper cites The business case for automated software engineering,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets The business case for automated software engineering,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.503478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.701784Z digest=sha256:1df414809e10735ee8dcf2e6b3dfa71a8f8283c576643419cb2d78b0b850708d

Observation a05fe875-12f3-46bf-b764-3b120309fb9b · outbound

This paper cites Optimizing energy consumption of guis in android apps: A multi-objective approach,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Optimizing energy consumption of guis in android apps: A multi-objective approach,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.496962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.704384Z digest=sha256:ef31301e6869e8f0005bae38a852d79b33e1781fbce5c23506405e6636d44dff

Observation 430f381a-4378-4569-acb3-4b0acba8067e · outbound

This paper cites Active learning for multi-objective optimization,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Active learning for multi-objective optimization,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.490258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.707287Z digest=sha256:dfed91d3709f16580221e5fde598df31b4a8a04b59b56e71fe4398a4349cfb73

Observation 59e0c62a-4f18-4ed6-9c1a-901cdb72156d · outbound

This paper cites Dehb: Evolutionary hyberband for scalable, robust and efficient hyperparameter optimization,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Dehb: Evolutionary hyberband for scalable, robust and efficient hyperparameter optimization,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.483677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.709909Z digest=sha256:3e4b807b15c02308b83298038408c98dec3307658b23eaac40b627ca4bf38d3c

Observation baced6e1-c39d-4159-b229-4d69f217a624 · outbound

This paper cites Improving vulnera- bility inspection efficiency using active learning,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Improving vulnera- bility inspection efficiency using active learning,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.476611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.712310Z digest=sha256:2047797b75fb2d85161629336329fe5d064809cdc42078ff4118d5b4c7cbeb09

Observation 3057e02b-e2ec-4439-9193-91e4ed255390 · outbound

This paper cites Frugal: Unlocking ssl for software analytics,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Frugal: Unlocking ssl for software analytics,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.469740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.714799Z digest=sha256:30f1a050bbad18994a6e4ac9e588517afeabad886b71167270309a4e75fcdde6

Observation 929360ca-a1d9-4c9f-a29d-f22c274f2c64 · outbound

This paper cites When less is more: on the value of “co-training.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets When less is more: on the value of “co-training

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.462711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.717935Z digest=sha256:6be78627b4d796f69cdbf4e711013ab5542f02f202b830ffe80cebd88e2c4004

Observation 026d799a-c3b2-4a65-b540-9d646a014445 · outbound

This paper cites Active learning and effort estimation: Finding the essential content of software effort estimation data,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Active learning and effort estimation: Finding the essential content of software effort estimation data,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.455853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.720333Z digest=sha256:cd729c2b343184114df76e8a819f4b553de25477a3cb2a018ff6f8c8f9b2fc51

Observation b7dd161c-4df9-4d1c-9ca3-dffcb8ba1076 · outbound

This paper cites Finding the right data for software cost modeling,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Finding the right data for software cost modeling,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.448827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.723277Z digest=sha256:1be4d0aea1f48d719a1e78bbe4e2ca4b2a53e35611a5dee98a2e134391024164

Observation 42088a29-c4f5-45e0-bc2d-67ed08a2fb11 · outbound

This paper cites Implications of ceiling effects in defect predictors,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Implications of ceiling effects in defect predictors,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.441586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.725432Z digest=sha256:b2106d81246070dff290566b08dfb117c8ae823137895e9d9fdd0cee2bbd8dba

Observation 0ace3f16-39ac-4ebe-843b-fd9287a470c8 · outbound

This paper cites Semi-supervised learning literature survey,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Semi-supervised learning literature survey,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.434386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.727935Z digest=sha256:4fe52295a9a5f5e2a9d813634eeef53d8f5c49f522009f0c6b8cb85eca65037d

Observation 386ddf29-3f26-42fe-835a-486ead2a7284 · outbound

This paper cites Extensions of lipschitz mappings into a hilbert space,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Extensions of lipschitz mappings into a hilbert space,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.427527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.730190Z digest=sha256:f2136a55276a6ddb430ac88f3d610bd897fa376e1ba027ecb2d1e80007c6af69

Observation 222948ae-1d99-4325-9159-bf874e092d79 · outbound

This paper cites Benchmarking attribute selection techniques for discrete class data mining,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Benchmarking attribute selection techniques for discrete class data mining,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.420583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.732469Z digest=sha256:00e1daa38b9a87cf65d630825291268a26978eb4eae9beda517e408c671038bd

Observation 98972386-475a-4bc7-b658-0eb97ddd19ce · outbound

This paper cites How to” dodge.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets How to” dodge

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.413622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.734745Z digest=sha256:6f53e6bde5cb6e36d533f9dec19422ed3696f52038981bd4993f7cfaf0adc93e

Observation cc93c380-bb90-4773-94fa-92cb91608f71 · outbound

This paper cites Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health

Reference 18

Resolution
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local_arxiv, observed 2026-08-07T10:46:15.997841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.737652Z digest=sha256:471e3509a06d21f9e76192e74a55d2d52161ef692a5a98b951d266d4e317dbdd

Observation 68978fea-7506-422f-8f29-0f5cf4a08775 · outbound

This paper cites Random search for hyper-parameter opti- mization.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Random search for hyper-parameter opti- mization

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:15.740540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:15.740540Z digest=sha256:7e689341058416d783d3d8eddb216f77363d83c298d49e43160ed3ea0149f7ac

Observation 7f370f30-7aa2-469f-ba7d-5f4ce36bf1f3 · outbound

This paper cites Can Large Language Models Improve SE Active Learning via Warm-Starts?.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Can Large Language Models Improve SE Active Learning via Warm-Starts?

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:15.742893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:15.742893Z digest=sha256:256fddfea270b90f889af3b35a0fd4439c519cfb2c2cadb259665e0dd34c6f95

Observation 2b9d2f03-c62f-4bb4-8b2f-ccf95ca40e65 · outbound

This paper cites A Survey on Deep Tabular Learning.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets A Survey on Deep Tabular Learning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:15.745428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:15.745428Z digest=sha256:0771b92ffaf7ae12c02a9a7a713545536b976c314815187db4b70815887c4243

Observation 0f5fd21b-32af-4492-8d26-c323ce06eca3 · outbound

This paper cites Automated parameter optimization of classification techniques for defect prediction models,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Automated parameter optimization of classification techniques for defect prediction models,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.402915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.748040Z digest=sha256:103d276ff5b2461cb0a04df4c4de2d6e1d1b8cacfb7ec282c24078d7595faae2

Observation 19264398-fecb-4c73-b406-3b6b317d31de · outbound

This paper cites The ”bigse.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets The ”bigse

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.396083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.750612Z digest=sha256:c3664f1c50bcb14c1b97466caff184cb9cefa9a25103890cc492f27822326173

Observation 36d13e08-c5b1-4ce4-a2bc-48092686429f · outbound

This paper cites Tuning for software analytics: Is it really necessary?.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Tuning for software analytics: Is it really necessary?

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.389393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.752904Z digest=sha256:13b2a3015dc551ef072fcc5b286a89dc7bfc927b09720e1c31bf11e1e2660b86

Observation 56236b3e-88da-4def-bb8d-563994ac2894 · outbound

This paper cites On the value of oversampling for deep learning in software defect prediction,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets On the value of oversampling for deep learning in software defect prediction,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.382404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.755241Z digest=sha256:68f6322dd0110acb7ba20505140f005f8fa6e611490a53bbf1d2f49fdaa47e7c

Observation 2edf7fbf-8842-49d8-95e3-ff3e0be80830 · outbound

This paper cites How to find actionable static analysis warnings: A case study with findbugs,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets How to find actionable static analysis warnings: A case study with findbugs,

Reference 26

Resolution
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raw_fallback, observed 2026-08-07T10:46:16.375335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.757527Z digest=sha256:36236766c7e9927831f9d00bba3932a17cbc719fea266ec3387e9829997a9f57

Observation 33865188-7048-425c-8c1d-b3870e027ace · outbound

This paper cites Performance- influence models for highly configurable systems,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Performance- influence models for highly configurable systems,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.367970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.759730Z digest=sha256:de05430f8d5f1f1719197062ca83ae916b5c0ac262321f85c7c49e00645f08ac

Observation 4946a50b-b1e6-4d2a-9b70-26082c6b7aeb · outbound

This paper cites Personal communication with author, at icse’25, ottawa, canda,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Personal communication with author, at icse’25, ottawa, canda,

Reference 28

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raw_fallback, observed 2026-08-07T10:46:16.361046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.762029Z digest=sha256:762884d8d290d1c01992daf856f96649292a4f554c3e629a5626797fdcc61e96

Observation 2995ab55-403d-4035-b77d-37c33c72d1e7 · outbound

This paper cites Finding faster configurations using flash,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Finding faster configurations using flash,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.354050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.764553Z digest=sha256:176ac692490a90af28527faad46ff7807af1b2837e16e7090964a40134e2ab2a

Observation 4745787d-d1fc-4c4c-bcbf-620f0ff36e89 · outbound

This paper cites Hey, you have given me too many knobs!.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Hey, you have given me too many knobs!

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.346636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.767054Z digest=sha256:3e0bc81546b627a0f8c1f59f677646be0166340a27844aeeef5a6e60c5b5255a

Observation 807ba15c-3525-4de4-8d95-86aed347d651 · outbound

This paper cites Understanding and detecting software configuration errors,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Understanding and detecting software configuration errors,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.339712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.769887Z digest=sha256:37e662b18812b2983e6bb732ae502036f41f8663287edeb014207f0b8b650598

Observation ac98bf85-0daa-4246-8074-8c28385a523a · outbound

This paper cites Automatic database management system tuning through large-scale machine learning,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Automatic database management system tuning through large-scale machine learning,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.332544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.772219Z digest=sha256:5b41615ca88b9a783a92b6bcf994e58e8c00e7582a9a57d31592f02e9cb8d102

Observation 927c8151-c677-49ef-b19b-59e0b018054a · outbound

This paper cites Starfish: A self-tuning system for big data analytics,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Starfish: A self-tuning system for big data analytics,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.325022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.774476Z digest=sha256:30a9e7d4ae71afbaa6c2394b4877d88d012452d2072f0e35bd5382b3d4ce5a9d

Observation 64073e3e-2f3b-4dd5-9753-edab36a27925 · outbound

This paper cites Uncertainty-aware self-adaptation in cloud computing,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Uncertainty-aware self-adaptation in cloud computing,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.317754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.777592Z digest=sha256:b94c0df62f1a8ba526372aeb8b989a280aa097dcd96eb530f7aa70ae5ffba3e4

Observation 7e4d5d3b-63a2-4868-817f-68d4a3a275a8 · outbound

This paper cites How to evaluate solutions in pareto-based search-based software engineering: A critical review and methodological guidance,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets How to evaluate solutions in pareto-based search-based software engineering: A critical review and methodological guidance,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.310466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.779857Z digest=sha256:5c6a84ebe39f7688a249b297718496b72a6a08cc92cabfca4c2450fe5e414b26

Observation 144f15d5-b106-4e0f-81ae-5ab39373d925 · outbound

This paper cites Just-in-time bug prediction in mobile applications: the domain matters!.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Just-in-time bug prediction in mobile applications: the domain matters!

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.303249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.782291Z digest=sha256:a6c3b1b24925e4fd9a2308433b2598f84892ae6e6ca63d4c7ad59dd8268a6445

Observation dc59d16b-983e-4be2-8e77-c4b30af0acf0 · outbound

This paper cites What do large commits tell us?: a taxonomical study of large commits,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets What do large commits tell us?: a taxonomical study of large commits,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.296017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.784569Z digest=sha256:3ea8b266cf4bf240655b069416cad6eb8d8e082ffeca142c08025ee83e19f61d

Observation dfa9535c-332a-459e-ad91-b07384382f1b · outbound

This paper cites A large-scale empirical study of just-in-time quality assurance,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets A large-scale empirical study of just-in-time quality assurance,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:15.787028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:15.787028Z digest=sha256:ebab230a032e9021607a16a6d9fb3ed1aa43f2b49b50be131f35c92d5adfe144

Observation e7986057-4562-432e-9856-9b202fa4b301 · outbound

This paper cites Classifying software changes: Clean or buggy?.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Classifying software changes: Clean or buggy?

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.285127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.789411Z digest=sha256:492475da2c4b4ff8a4350b2a71cca58a862abc9dfb411d26b047636be70e5819

Observation f76de9bc-7ddc-4301-b089-8cc2c1f9195b · outbound

This paper cites Identifying reasons for software changes using historic databases.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Identifying reasons for software changes using historic databases

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.278333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.792467Z digest=sha256:ce9faecd69a56125a32458cc606adffd0e690306717ee4bc2d5a16b5af83e26a

Observation 8f8a80ca-8da1-4298-b0c9-08c1f278ec22 · outbound

This paper cites Personnel communication at fse’18,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Personnel communication at fse’18,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.271761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.794827Z digest=sha256:864a84a1862bab061fccdbd67ec2035f44b015c9ff828738bcca121cc2ba94df

Observation a5869dad-2291-4471-960a-7dbe4e7cdaea · outbound

This paper cites Quality and productivity outcomes relating to continuous integration in github,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Quality and productivity outcomes relating to continuous integration in github,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.265102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.797367Z digest=sha256:e1ef2cac0cf1b0f995526081f3570929c7e889c31d1e53d6970cf26ae2bd0372

Observation 216d8e47-c46e-4002-a05b-1dd54f893dbb · outbound

This paper cites Identifying self-admitted technical debts with jitterbug: A two-step approach,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Identifying self-admitted technical debts with jitterbug: A two-step approach,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.257324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.799838Z digest=sha256:1a6b2482ba30f6c151316ed7e4581b29730fbf332e2c659fbc8763c1f19ffb48

Observation 9bb657db-9428-438c-b9b3-52faebf5da96 · outbound

This paper cites Data quality matters: A case study on data label correctness for security bug report prediction,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Data quality matters: A case study on data label correctness for security bug report prediction,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.250600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.802262Z digest=sha256:8a94023e36b7e1eb25519d42a1b968cc9db93f6d4bc570e04cc64e28d940bfb2

Observation a56a807a-148c-4070-9b0f-6e69f9cf1d21 · outbound

This paper cites Detecting false alarms from automatic static analysis tools: How far are we?.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Detecting false alarms from automatic static analysis tools: How far are we?

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:15.804581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:15.804581Z digest=sha256:8b2130a4008744775867742a5844c7429c40d626e009d6ff4243ea47c60dd077

Observation 1d0f1c3b-d3f4-4ba1-821d-4bae75a39724 · outbound

This paper cites DBSCAN revisited, revisited: Why and how you should (still) use DBSCAN,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets DBSCAN revisited, revisited: Why and how you should (still) use DBSCAN,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.243852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.807069Z digest=sha256:b5d2e4eb4d972e0db8b8c5b26b47cba8504713d7a434d13a424a53142478bb65

Observation 93abaa56-22fc-44f4-92af-380dd400dae3 · outbound

This paper cites Principal components analysis,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Principal components analysis,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.237032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.809798Z digest=sha256:0e3af7671534bc7685a7757ef79437602f47bb3ec658001ce5b648b5b44d699f

Observation 253b332a-accf-431e-9210-ae163f641c5a · outbound

This paper cites Faloutsos and K.-I.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Faloutsos and K.-I

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.230486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.812128Z digest=sha256:a4780aa9552c14be0826b7440b77c6037002854c95df0b2272d6465d9ef10b90

Observation f2eea9a4-815e-49c0-9fe2-a3b5b75f0ecd · outbound

This paper cites Instance-based learning algorithms,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Instance-based learning algorithms,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.223896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.815230Z digest=sha256:57e5512e1bb71ac7c0a5ffdb2d5f2c683e96eba4468eafd218611139769af390

Observation e64dd6d8-abee-4ba5-a2ce-24efac0f947e · outbound

This paper cites Active learning,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Active learning,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.216945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.817393Z digest=sha256:748d24af585204280c39a81161ba32aa66e4e790686cb883ce1429c84ba5c48b

Observation 75d3d6b6-fd3e-4b02-91a5-d40869b38963 · outbound

This paper cites Hyper- band: A novel bandit-based approach to hyperparameter optimization,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Hyper- band: A novel bandit-based approach to hyperparameter optimization,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.209418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.819522Z digest=sha256:ef49b114f8a0704fa896a929108609869fa085f300a660d4bf9a38c1e98cb503

Observation 816f9186-0017-462b-8779-53cfe68f9c05 · outbound

This paper cites Non-stochastic best arm identification and hyperparameter optimization,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Non-stochastic best arm identification and hyperparameter optimization,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.201762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.821846Z digest=sha256:c9c12cb5c84cbf7acfd621f5af0479de3873cfdc83de60e47cb256275b6f6c5d

Observation 982b456e-f0e9-4874-bc1c-0f6c87d0bb33 · outbound

This paper cites Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.194898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.824023Z digest=sha256:ea24e1e52bd39538aeef5de89e14c2ac4d99322fdece973ce1caa2f379c7c018

Observation 6069f656-bb4a-4e42-9e85-12104538b2f0 · outbound

This paper cites Hyperopt: a python library for model selection and hyperparameter optimization,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Hyperopt: a python library for model selection and hyperparameter optimization,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.187938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.826171Z digest=sha256:90f8ca8e370f4b704d2c7a4d0e832268da394e18b1411ccd69269ea7d355b9a7

Observation 8a7afc73-296f-4e8d-a67b-dcd631460e65 · outbound

This paper cites Algorithms for hyper- parameter optimization,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Algorithms for hyper- parameter optimization,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.180902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.828421Z digest=sha256:beb02e74a10ce71d55d8cf8f25af550c9975db91279f31faaaf056932aa313b3

Observation 47a83ff3-f317-422b-abc9-47c81486ba52 · outbound

This paper cites Predictive accuracy-based active learning for medical image segmentation,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Predictive accuracy-based active learning for medical image segmentation,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.174166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.830709Z digest=sha256:7a00d8b3681904888601c8ea2bdabed5774f02d86a091396652ba3adc3cc2ac2

Observation d457f7cf-c1f9-4f25-8047-a7877038d8ec · outbound

This paper cites Cluster-based active learning,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Cluster-based active learning,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.167287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.833844Z digest=sha256:674ba1f06206fa1c26c264d0040defbd64781dd4ac1395266ad872ace3213c6c

Observation 576337d1-3570-4f13-9178-32d0565aec30 · outbound

This paper cites k-means++: The advantages of careful seeding,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets k-means++: The advantages of careful seeding,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.160385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.836346Z digest=sha256:063aaa1e1065c90d513c436857409771a5e0e9ff572d2c726c26df821e7ddaf4

Observation 77e81821-20ce-48e9-80fd-a8b151bc3050 · outbound

This paper cites Active learning literature survey,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Active learning literature survey,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.153458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.838893Z digest=sha256:a126f15723759f390c6f207183f4ea0c993c71e991d34acc7eb72e8acca36d0e

Observation 0fea9fec-da14-4ea9-b232-a971a6519a5e · outbound

This paper cites an unresolved cited work.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:46:16.145693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.841255Z digest=sha256:52dbb36bfae93e4d0e47b1977a713803dd8b8beb8250d89930e2ab53c7756a7e

Observation e13bcf35-67e3-4d6a-94fc-271248f7a418 · outbound

This paper cites Yahpo gym-an efficient multi-objective multi-fidelity benchmark for hyperparameter optimization,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Yahpo gym-an efficient multi-objective multi-fidelity benchmark for hyperparameter optimization,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.139156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.843497Z digest=sha256:cc41cff6e60aec9dcada796138c61f572721e7cb73956abd4c11d765b3842f3e

Observation 7ea29283-7a8b-4ba5-a2c9-24cb92aaee12 · outbound

This paper cites Surrogate NAS benchmarks: Going beyond the limited search spaces of tabular NAS benchmarks,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Surrogate NAS benchmarks: Going beyond the limited search spaces of tabular NAS benchmarks,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.131881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.845843Z digest=sha256:6da2fa15899fee087d72ffac4661da2954dceb733a2a6ebf5dc261c80c54ddc2

Observation 1c079dac-56f4-4f34-b4a8-6d3fb2682849 · outbound

This paper cites A cluster analysis method for grouping means in the analysis of variance,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets A cluster analysis method for grouping means in the analysis of variance,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.125114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.848035Z digest=sha256:da97d1c25b3031855d359aa904fafae2d3cabb7bf5a0b87ff30ee7d500f6d08f

Observation f976f54d-0a03-4ec9-9bad-6df8c85c1711 · outbound

This paper cites Cliff’s delta calculator: A non-parametric effect size program for two groups of observations,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Cliff’s delta calculator: A non-parametric effect size program for two groups of observations,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.118012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.850349Z digest=sha256:f7b3c605048e49aefb074dbc1a8f420665981f6b1562fbb0b7c4f4d8cdbd8c09

Observation 537b2873-784a-40b3-ab46-5b45da843f05 · outbound

This paper cites Efron and R.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Efron and R

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.111114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.852655Z digest=sha256:7ad95f2d4212aacfddbf12f8d57a1cd3b8db15b8a8d09364cf5db35f2b4d4d63

Observation a5490871-df6a-473d-be64-84aca8265af2 · outbound

This paper cites Distribution-free multiple comparisons,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Distribution-free multiple comparisons,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.104238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.854871Z digest=sha256:58a03ff11b7abba9ea06ddb0f05bfd0861911797a2574bc052a445091abf3f81

Observation 4af4caa0-51ab-4b50-ad64-3fde1540347a · outbound

This paper cites Moea/d: A multiobjective evolutionary algorithm based on decomposition,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Moea/d: A multiobjective evolutionary algorithm based on decomposition,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.097587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.857432Z digest=sha256:cd85d535b36507cf1c880766ca028a06c827e03c61ab01aae6dc0e53a9a57889

Observation 30129895-b87b-4f47-89f8-ac5b37de0279 · outbound

This paper cites Priorband: practical hyperparameter optimiza- tion in the age of deep learning,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Priorband: practical hyperparameter optimiza- tion in the age of deep learning,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.090544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.859883Z digest=sha256:c32ad795b2664c272df14207ee975d4c4db6a51573b95bb0e0a9513b4401f306

Observation bf75ded4-fb43-443b-9047-7294335f38a8 · outbound

This paper cites A survey on deep learning for software engineering,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets A survey on deep learning for software engineering,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.083611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.862198Z digest=sha256:fd5981710d77602f5d29c6e4407b74ed1aadc0d41e216f0fce96c58c6447eab9

Observation 9b08cf6d-3552-4b0d-8876-0cc0ba8b7e57 · outbound

This paper cites Veer: enhancing the interpretability of model-based optimizations,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Veer: enhancing the interpretability of model-based optimizations,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.076443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.864510Z digest=sha256:be373d82f65d71cab517d0903ba9a59515c86e9ffe7eb616168194e196bb3eb3

Observation f86fb5b2-5eff-495d-8fb1-4991217a4664 · outbound

This paper cites “sampling.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets “sampling

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.069230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.866742Z digest=sha256:3d69b3555f8f801825b12e83c860b286ea063eb99c0baf506670630dec6f6c39

Observation 11eb3e4c-425b-4586-b601-ea7469ba835c · outbound

This paper cites Sequential model optimization for software effort estimation,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Sequential model optimization for software effort estimation,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.062027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.869115Z digest=sha256:d792d59d693d220436758aed8ae2eaef11c9694c5e3c8e450412a3db99fc548f

Observation 1de38007-9a35-42ea-9711-e3e2af523e9e · outbound

This paper cites Data-efficient performance learning for configurable systems,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Data-efficient performance learning for configurable systems,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.054996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.871453Z digest=sha256:fac9c11c8a20f311eb52642ed640e542022bbefd499cf35d4ffe5c3621386be0

Observation f25101fb-18e2-43fe-8b99-2421010a19f8 · outbound

This paper cites Learning from very little data: On the value of landscape analysis for predicting software project health,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Learning from very little data: On the value of landscape analysis for predicting software project health,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.047727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.873869Z digest=sha256:2229bbc40561fa807dbbabce3901815d30622b6ecfbf3a6bfaeffdd4c81eb245

Observation 0e4dde50-3bed-49d0-88fc-bcdab9ab3045 · outbound

This paper cites Trading off scalability, privacy, and performance in data synthesis,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Trading off scalability, privacy, and performance in data synthesis,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.039816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.876561Z digest=sha256:10d6a1d6c1ae381b904e475824815fcce7fbd5573ab3becbbec2c62f283a4d7c

Observation f0157d9e-045d-43ea-be72-c4fea17fabc7 · outbound

This paper cites “the best data are fake data?.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets “the best data are fake data?

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.032226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.879322Z digest=sha256:bcc9893dc62eb857f2d4901569a0cd7b3c6fac1e4697b08215e90203be1d6d66

Observation 17cf7eab-6564-435a-969f-04f9b9de62ba · outbound

This paper cites Smac3: A versatile bayesian optimization package for hyperparameter optimization,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Smac3: A versatile bayesian optimization package for hyperparameter optimization,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.024998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.881780Z digest=sha256:ef5db0287423c2b3b0c45adaadc42591649ff5cdf057e43988ae6035ecde8ef3

Observation 7c3f6dda-badf-42cf-bba8-1484689dd663 · outbound

This paper cites Silberschatz, P.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Silberschatz, P

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.017746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.884788Z digest=sha256:7b6df3a1123a3a6c51891384e58a11e5e434ad2d9597ecddb9d4a29b9b712822

Observation 8809f6a2-2987-4ad8-b677-80b358ad0b47 · outbound

This paper cites The psycho-biology of language, gk zipf, mit press, cam- bridge, ma.(1935),.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets The psycho-biology of language, gk zipf, mit press, cam- bridge, ma.(1935),

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:16.010267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:15.887162Z digest=sha256:40891f4693836f4243f6d8f6dae981aaa27376025c1d229a8da0b8e506966ba8

Observation 22f593c2-6f7a-40c8-9e56-185573feae42 · outbound

This paper cites Attention is all you need,.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Attention is all you need,

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:15.889771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:15.889771Z digest=sha256:3c67955662d66ad900cf792f1dd5b1b3f65eac53b5538c947184063f7bbea6b7

Pith citing papers

Observation 0c4d7795-6546-4bb5-a2e1-bda8266b6275 · inbound

When to Use Which? Benchmarking Optimisers for Configurable Systems under Varying Budgets cites this paper.

When to Use Which? Benchmarking Optimisers for Configurable Systems under Varying Budgets BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T20:56:14.115224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:56:14.115224Z digest=sha256:66882bc5e82d2c79f1da9afc68f103790adeef3a9e64db859d44d36ed931df0f