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Paper Citation Record · LEDGER

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint

As of 13 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2411.15216.

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

pith.paper-citation-record.v1
2411.15216 v3

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:29:28.509844Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

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  • verified fuzzy18
  • unresolved16
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d3598f1-a654-4884-b9f9-8ea90ada866e · outbound

This paper cites Fast differentiable sorting and ranking.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Fast differentiable sorting and ranking

Reference 1

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Observation 55db7169-349f-4cca-812b-76a2fe43cba7 · outbound

This paper cites Smogn: a pre-processing approach for imbalanced regression.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Smogn: a pre-processing approach for imbalanced regression

Reference 2

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T16:29:28.374000Z digest=sha256:9b1532883194a89ec3ae7aadd907b6172431980ce78ad92a57c51a554245d59b

Observation f0204689-bdff-4bc9-b142-809b60d2bfeb · outbound

This paper cites an unresolved cited work.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Unresolved cited work

Reference 3

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Observation d0d00528-7dcd-4a85-ba4b-ddd31ca94421 · outbound

This paper cites A systematic study of the class imbalance problem in convolutional neural networks.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint A systematic study of the class imbalance problem in convolutional neural networks

Reference 4

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Observation cacf57b5-fa60-4851-bdc4-ee6493bdddc5 · outbound

This paper cites Smote: synthetic minority over-sampling technique.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Smote: synthetic minority over-sampling technique

Reference 5

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Observation 5aaf746a-7f91-47c3-90a6-7fbfaa631500 · outbound

This paper cites Heritable arrhythmias associated with abnormal function of cardiac potassium channels.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Heritable arrhythmias associated with abnormal function of cardiac potassium channels

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0906eda1-5023-4b30-8f47-b431e70a9ce2 · outbound

This paper cites Learning a distance metric by balancing kl-divergence for imbalanced datasets.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Learning a distance metric by balancing kl-divergence for imbalanced datasets

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation cab56363-1711-446f-8ae1-caebc1556563 · outbound

This paper cites Abnormalities of potassium in heart failure: Jacc state-of-the-art review.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Abnormalities of potassium in heart failure: Jacc state-of-the-art review

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 596a7d64-e4d3-4093-84de-6cdcd301306b · outbound

This paper cites Development and validation of a deep-learning model to screen for hyperkalemia from the electrocardiogram.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Development and validation of a deep-learning model to screen for hyperkalemia from the electrocardiogram

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f993f143-f61d-4dfa-83aa-118393a25632 · outbound

This paper cites R ank S im: Ranking similarity regularization for deep imbalanced regression.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint R ank S im: Ranking similarity regularization for deep imbalanced regression

Reference 10

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ae7d821b-25a8-44d1-960b-d65dc0c6a5fc · outbound

This paper cites Mortality risk stratification utilizing artificial intelligence electrocardiogram for hyperkalemia in cardiac intensive care unit patients.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Mortality risk stratification utilizing artificial intelligence electrocardiogram for hyperkalemia in cardiac intensive care unit patients

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 9c9eed41-3ddc-4ba3-8347-e346b63f174b · outbound

This paper cites Maher, Alaa Aljiffry, Jimeng Sun, and Alexey Tumanov.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Maher, Alaa Aljiffry, Jimeng Sun, and Alexey Tumanov

Reference 12

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Observation c4e0908c-d2d7-4dfb-adae-d99da335249b · outbound

This paper cites Mimic-iv.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Mimic-iv

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 398de3f6-f1bc-4a24-8205-a7090bb6310f · outbound

This paper cites David Evans.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint David Evans

Reference 14

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Source-reported events for the cited work

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Observation 64093f9b-5e31-4820-8f81-05cc5ad99416 · outbound

This paper cites Potassium disorders: hypokalemia and hyperkalemia.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Potassium disorders: hypokalemia and hyperkalemia

Reference 15

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Source-reported events for the cited work

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Observation d80f3dfc-4e12-4913-acf1-cc1f03acac91 · outbound

This paper cites Logistic regression in rare events data.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Logistic regression in rare events data

Reference 16

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Observation 0b30e0e6-28cc-4c43-9fde-4007c5cdcce0 · outbound

This paper cites Focal Loss for Dense Object Detection.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Focal Loss for Dense Object Detection

Reference 17

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Observation d9ac026e-2f39-4e97-b5e8-c4e0b61a9fc1 · outbound

This paper cites Large-scale long-tailed recognition in an open world.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Large-scale long-tailed recognition in an open world

Reference 18

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Observation 11b8a711-04ab-4d09-a91b-3b0d6fa06026 · outbound

This paper cites Agedb: the first manually collected, in-the-wild age database.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Agedb: the first manually collected, in-the-wild age database

Reference 19

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Source-reported events for the cited work

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Observation 3c7e6700-2f17-4c27-8cd0-57c89dee6bd4 · outbound

This paper cites On estimation of a probability density function and mode.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint On estimation of a probability density function and mode

Reference 20

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Observation 016b26ab-7e44-47a6-a4f2-710ef036529f · outbound

This paper cites Balanced mse for imbalanced visual regression.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Balanced mse for imbalanced visual regression

Reference 21

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Source-reported events for the cited work

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Observation c7f24e26-e6ac-43c6-87e8-9b74fa8dd854 · outbound

This paper cites Deep expectation of real and apparent age from a single image without facial landmarks.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Deep expectation of real and apparent age from a single image without facial landmarks

Reference 22

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Source-reported events for the cited work

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Observation de448aa8-54ca-4658-9c8c-eb29520410f4 · outbound

This paper cites Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 23

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Observation 08f7f1da-a0d1-4d6c-b0c6-87c87b9b6992 · outbound

This paper cites Rusboost: A hybrid approach to alleviating class imbalance.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Rusboost: A hybrid approach to alleviating class imbalance

Reference 24

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Source-reported events for the cited work

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Observation 375d5e34-b4fa-4943-b007-f954292efd52 · outbound

This paper cites Density-based weighting for imbalanced regression.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Density-based weighting for imbalanced regression

Reference 25

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Source-reported events for the cited work

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Observation f8c8ed5c-94d7-4a35-8b1f-1a5cf72d08ea · outbound

This paper cites Posterior re-calibration for imbalanced datasets.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Posterior re-calibration for imbalanced datasets

Reference 26

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Observation 0b83e129-52c4-4576-97f3-2b989daecf20 · outbound

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Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Smote for regression

Reference 27

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Source-reported events for the cited work

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Observation 80ce9bae-78af-40dd-9e0e-2d81d65dc809 · outbound

This paper cites Variational imbalanced regression: Fair uncertainty quantification via probabilistic smoothing.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Variational imbalanced regression: Fair uncertainty quantification via probabilistic smoothing

Reference 28

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Unavailable: canonical work link unavailable.

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Observation c81c3cc8-17b9-4309-99be-cd67699905b6 · outbound

This paper cites Delving into deep imbalanced regression.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Delving into deep imbalanced regression

Reference 29

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Source-reported events for the cited work

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Observation c6596717-50a0-4d81-a36a-c7bd39310a5b · outbound

This paper cites Conditional wasserstein generative adversarial network-gradient penalty-based approach to alleviating imbalanced data classification.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Conditional wasserstein generative adversarial network-gradient penalty-based approach to alleviating imbalanced data classification

Reference 30

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Source-reported events for the cited work

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Observation ea9e261a-dfc6-44bb-8a31-6ba8c0c70a06 · outbound

This paper cites write newline.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint write newline

Reference 31

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Observation 9995db44-d87a-46f1-a660-d14c04d2c01e · outbound

This paper cites @esa (Ref.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint @esa (Ref

Reference 32

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Unavailable: canonical work link unavailable.

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Observation ee8004ec-129d-4edf-99a4-ad4b91deba2a · outbound

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Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Unresolved cited work

Reference 33

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Observation fccc8bc8-bf85-4c5b-bf7e-b2633682a144 · outbound

This paper cites o/^1c ͛7QcE F [nєb | iٲ 􄓓F ˱vZٳG񛧧' :T mÃT <8p w.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint o/^1c ͛7QcE F [nєb | iٲ 􄓓F ˱vZٳG񛧧' :T mÃT <8p w

Reference 34

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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.