Paper Citation Record · LEDGER

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles

As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2505.17435.

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

pith.paper-citation-record.v1
2505.17435 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:56:06.835482Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T05:38:36.880954Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T05:39:40.417054Z

Reference resolution

32 of 32 outbound references displayed

verified exact3
verified fuzzy13
unresolved16
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec45883b-5457-4699-b2c9-31faee0c540f · outbound

This paper cites write newline.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:03.825963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e53a499f-b035-4c3c-8d9f-2463e808b35f · outbound

This paper cites Nuanced metrics for measuring unintended bias with real data for text classification.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Nuanced metrics for measuring unintended bias with real data for text classification

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:10.224884Z

Source-reported events for the cited work

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

Observation 096bec7c-ce83-4233-97d0-584cb6a479bf · outbound

This paper cites Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:03.916731Z

Source-reported events for the cited work

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Observation eb6b7a02-562e-40d7-b3c2-b47775255cf0 · outbound

This paper cites Loss Minimization Yields Multicalibration for Large Neural Networks.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Loss Minimization Yields Multicalibration for Large Neural Networks

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:56:07.283691Z

Source-reported events for the cited work

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

Observation 2629a77f-9c7d-4001-845c-0681ec1c495f · outbound

This paper cites and Guestrin, C.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles and Guestrin, C

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:10.051781Z

Source-reported events for the cited work

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

Observation 5cd5c040-3786-4f3d-934d-21e80f8d530e · outbound

This paper cites Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC).

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:04.098125Z

Source-reported events for the cited work

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Observation 3c039e5e-a176-4710-80cf-f50d44ff37c8 · outbound

This paper cites BCN20000: Dermoscopic Lesions in the Wild.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles BCN20000: Dermoscopic Lesions in the Wild

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:04.119973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 920e7e70-99e8-45b9-8e67-7371327a7f36 · outbound

This paper cites Happymap : A generalized multicalibration method.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Happymap : A generalized multicalibration method

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:09.788022Z

Source-reported events for the cited work

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

Observation 7845ebe4-4df2-421c-a71f-355fe943093d · outbound

This paper cites Retiring adult: New datasets for fair machine learning.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Retiring adult: New datasets for fair machine learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:04.344346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a0b452d-8525-40be-a625-9f7114757a0f · outbound

This paper cites and Helmbold, D.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles and Helmbold, D

Reference 10

Resolution: verified exact; doi, observed 2026-08-07T14:56:06.951710Z

Source-reported events for the cited work

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Observation fac945af-758a-48fd-9b31-abdc302484d8 · outbound

This paper cites an unresolved cited work.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:56:09.604075Z

Source-reported events for the cited work

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

Observation 335ae0c0-de0d-4507-86e0-474daf8e7c17 · outbound

This paper cites Multicalibration as boosting for regression.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Multicalibration as boosting for regression

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:09.324802Z

Source-reported events for the cited work

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

Observation de31c9b6-3d31-4bb5-85d0-b79c20743a60 · outbound

This paper cites Omnipredictors.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Omnipredictors

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:04.858915Z

Source-reported events for the cited work

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Observation 32cdecaf-77ab-4cb3-8ecb-ef538a0cad75 · outbound

This paper cites P., Singhal, M.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles P., Singhal, M

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:09.113421Z

Source-reported events for the cited work

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

Observation fe437218-be64-449e-a51f-c023b8da47d2 · outbound

This paper cites A unifying perspective on multi-calibration: Game dynamics for multi-objective learning.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles A unifying perspective on multi-calibration: Game dynamics for multi-objective learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:08.852091Z

Source-reported events for the cited work

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

Observation 1158b6e1-4e2a-49ef-b0c1-19bae5b77d55 · outbound

This paper cites Multicalibration: Calibration for the ( C omputationally-identifiable) masses.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Multicalibration: Calibration for the ( C omputationally-identifiable) masses

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:05.270599Z

Source-reported events for the cited work

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Observation 06497853-daad-4500-8cb3-b5260edb7cc4 · outbound

This paper cites Batch Multivalid Conformal Prediction.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Batch Multivalid Conformal Prediction

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:05.346688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52cdfa2b-1b6c-4bb6-b6a9-bd8261de5fa6 · outbound

This paper cites Lightgbm: A highly efficient gradient boosting decision tree.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Lightgbm: A highly efficient gradient boosting decision tree

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:05.461371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc344e39-ba18-42d0-aaa6-a84edb38a077 · outbound

This paper cites P., Kern, C., Goldwasser, S., Kreuter, F., and Reingold, O.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles P., Kern, C., Goldwasser, S., Kreuter, F., and Reingold, O

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:05.574514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a3614c8-d37b-4ea5-8910-ee4324ccaa1c · outbound

This paper cites W., Sagawa, S., Marklund, H., Xie, S.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles W., Sagawa, S., Marklund, H., Xie, S

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:08.541838Z

Source-reported events for the cited work

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

Observation 51d16edb-4490-4d2f-99f1-2fa882f28403 · outbound

This paper cites Foundations of Machine Learning, second edition.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Foundations of Machine Learning, second edition

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:08.299162Z

Source-reported events for the cited work

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

Observation 7cda1e55-6a65-4427-a1ac-9e55b8075131 · outbound

This paper cites W., Zhang, L., Jerfel, G., and Tran, D.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles W., Zhang, L., Jerfel, G., and Tran, D

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:08.079542Z

Source-reported events for the cited work

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

Observation d9e9a4bb-ce56-417d-a266-d299b7fe2bdb · outbound

This paper cites D., Corrado, G., and Chin, M.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles D., Corrado, G., and Chin, M

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:07.950157Z

Source-reported events for the cited work

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

Observation a7540770-1926-4bbc-abc9-6bd468f53498 · outbound

This paper cites Uncertain: Modern topics in uncertainty quantification, 2022.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Uncertain: Modern topics in uncertainty quantification, 2022

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:07.819632Z

Source-reported events for the cited work

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

Observation 057c6926-82d0-4e61-8b85-f6185e7ba517 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:06.222126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72992f8c-2b25-4409-b952-a5c536e36619 · outbound

This paper cites The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:07.579128Z

Source-reported events for the cited work

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

Observation e6fbfe91-864c-4aab-84b3-b5419c8b1c99 · outbound

This paper cites Bridging multicalibration and out-of-distribution generalization beyond covariate shift.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Bridging multicalibration and out-of-distribution generalization beyond covariate shift

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:07.437910Z

Source-reported events for the cited work

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

Observation e2b49215-5ab9-407e-856c-62a9a50128f0 · outbound

This paper cites Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:06.447151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cd72886-ec57-4b74-9f0e-c6ea3fc1b22f · outbound

This paper cites Age Progression/Regression by Conditional Adversarial Autoencoder.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Age Progression/Regression by Conditional Adversarial Autoencoder

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:06.550507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18fc15e8-f63e-4efc-bfeb-2b5d543732eb · outbound

This paper cites @esa (Ref.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles @esa (Ref

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:06.666663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48574283-c6f3-4b85-bb85-b67c79988710 · outbound

This paper cites an unresolved cited work.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:06.748484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 811fc6fb-8129-4279-984b-8017941d4fe1 · outbound

This paper cites When is Multicalibration Post-Processing Necessary?.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles When is Multicalibration Post-Processing Necessary?

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:56:07.112604Z

Source-reported events for the cited work

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

Pith citing papers

Observation 41071c32-0e5b-4dd7-ab42-d6cd6993a177 · inbound

Divide et Calibra: Multiclass Local Calibration via Vector Quantization cites this paper.

Divide et Calibra: Multiclass Local Calibration via Vector Quantization Discretization-free Multicalibration through Loss Minimization over Tree Ensembles

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:39:40.419498Z

Source-reported events for the cited work

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