Paper Citation Record · LEDGER

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes

As of 16 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:1908.04628.

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

pith.paper-citation-record.v1
1908.04628 v3

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:40:58.820351Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:40:58.820351Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T13:40:58.854945Z

Reference resolution

32 of 32 outbound references displayed

verified exact1
verified fuzzy30
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fecdbc34-ee4a-434a-9bbd-2397a4d5de7e · outbound

This paper cites Success in books: predicting book sales before publication.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Success in books: predicting book sales before publication

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:59.260550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3ca38b43-825c-4be1-91ce-6a0c9af5540b · outbound

This paper cites Forecasting for inventory planning: a 50-year review.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Forecasting for inventory planning: a 50-year review

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:59.249104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 07f22eea-2e49-43d0-b301-e3b7d1ec9c06 · outbound

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

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Smote: Synthetic minority over-sampling technique

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:59.237300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 52bf1a2e-c45d-40b9-b33f-2c23ec112261 · outbound

This paper cites Logistic regression in large rare events and imbalanced data: A performance comparison of prior correction and weighting methods.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Logistic regression in large rare events and imbalanced data: A performance comparison of prior correction and weighting methods

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:59.224794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6ab8bd54-4e6c-4ffb-a0cc-824b258888d7 · outbound

This paper cites Learning on the border: Active learning in imbalanced data classiﬁcation.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Learning on the border: Active learning in imbalanced data classiﬁcation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:59.211064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation db0a3742-510c-43c3-b69c-d943c15bf6c7 · outbound

This paper cites Imbalance-aware machine learning for predicting rare and common disease-associated non-coding variants.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Imbalance-aware machine learning for predicting rare and common disease-associated non-coding variants

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:59.196020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d173413e-c3aa-4715-baf2-349a267c890a · outbound

This paper cites Logistic regression in rare events data.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Logistic regression in rare events data

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:59.183416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3bd7eb84-4f59-4652-b07e-a14a763e9e32 · outbound

This paper cites A physical model for efﬁcient ranking in networks.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes A physical model for efﬁcient ranking in networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:59.172093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 43db2ea4-f5aa-47e8-a63d-a48c1f6cdd1b · outbound

This paper cites Aggregating inconsistent information: Ranking and clustering.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Aggregating inconsistent information: Ranking and clustering

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:59.159629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ac7c9703-a2a0-445d-908b-7e3f8c4b14a3 · outbound

This paper cites Learning to order things.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Learning to order things

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:59.147898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8f499b60-08ea-4da5-bbeb-c91be5e5ab0a · outbound

This paper cites Quantifying reputation and success in art.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Quantifying reputation and success in art

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:59.136133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 45b9e706-90bb-4bf3-bbd2-5686f563e354 · outbound

This paper cites It’s who you know: Graph mining using recursive structural features.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes It’s who you know: Graph mining using recursive structural features

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:59.124066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f1a367a8-265f-4d9a-8800-d5d6f546c980 · outbound

This paper cites Heavy-tailed regression with a generalized median-of-means.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Heavy-tailed regression with a generalized median-of-means

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:59.110588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2a77a51d-9117-4545-b2df-3fc6cdf92e0a · outbound

This paper cites XGBoost: A scalable tree boosting system.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes XGBoost: A scalable tree boosting system

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T13:40:58.749098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2e85456-2666-435c-b186-1c4e210a061d · outbound

This paper cites Optimizing search engines using clickthrough data.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Optimizing search engines using clickthrough data

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:59.084568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ce6d70d9-ad3b-4713-bc15-1176349e8089 · outbound

This paper cites From ranknet to lambdarank to lambdamart: An overview.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes From ranknet to lambdarank to lambdamart: An overview

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:59.072731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d7385c08-54d4-41b0-b996-595a4519dfa7 · outbound

This paper cites Learning to rank with nonsmooth cost functions.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Learning to rank with nonsmooth cost functions

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:59.060779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 13bf50f7-c291-4129-9241-92e6ba5eed38 · outbound

This paper cites Greedy function approximation: A gradient boosting machine.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Greedy function approximation: A gradient boosting machine

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:59.047113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e362b53e-10cb-4c31-8713-2a36ad7486ca · outbound

This paper cites Estimation of high conditional quantiles for heavy-tailed distributions.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Estimation of high conditional quantiles for heavy-tailed distributions

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:59.035519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dc7c0975-3562-4a92-bf49-adfd4b3a2db8 · outbound

This paper cites Robust regression with asymmetric heavy-tail noise distributions.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Robust regression with asymmetric heavy-tail noise distributions

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:59.023337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e1e64ca8-0126-4b6c-bc15-3423fb9a055b · outbound

This paper cites L1 regression with heavy-tailed distributions.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes L1 regression with heavy-tailed distributions

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:59.010162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 813d6671-69e8-4ccb-a69e-68106535be2f · outbound

This paper cites Ordinal regression by extended binary classiﬁcation.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Ordinal regression by extended binary classiﬁcation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:58.995732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 208f790f-c08f-443b-9613-4ca0c788b2ac · outbound

This paper cites A survey of predictive modeling on imbalanced domains.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes A survey of predictive modeling on imbalanced domains

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:58.983005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ce108d1d-bfe9-4d09-a10f-f2077e484b53 · outbound

This paper cites Adasyn: Adaptive synthetic sampling approach for imbalanced learning.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Adasyn: Adaptive synthetic sampling approach for imbalanced learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:58.971561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5ea0d7ff-bcb0-4baf-b879-f5fd474bbc12 · outbound

This paper cites Learning when data sets are imbalanced and when costs are unequal and unknown.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Learning when data sets are imbalanced and when costs are unequal and unknown

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:58.959263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cd72bc51-bc7b-483a-a4bb-35ac2b1fdf7b · outbound

This paper cites Utility-based regression.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Utility-based regression

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:58.947492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c71b5e8f-d40d-4cb6-92d5-1d4831b7e7ea · outbound

This paper cites Sinha, and Huimin Zhao.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Sinha, and Huimin Zhao

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:58.935088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a16951fa-6fd4-4d0f-be68-0bf71e9f4ddd · outbound

This paper cites Evaluating and tuning predictive data mining models using receiver operating characteristic curves.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Evaluating and tuning predictive data mining models using receiver operating characteristic curves

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:58.916961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8f4dce21-424c-46b8-8cea-9fff2ef7616f · outbound

This paper cites Fast pairwise query selection for large-scale active learning to rank.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Fast pairwise query selection for large-scale active learning to rank

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:58.903156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 476429a7-3617-46c0-af83-2bda9923dfb7 · outbound

This paper cites An online algorithm for large scale image similarity learning.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes An online algorithm for large scale image similarity learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:58.889255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 34b7bc98-6d0d-4578-9798-e8c2a966d581 · outbound

This paper cites Fast similarity search for learned metrics.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes Fast similarity search for learned metrics

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:40:58.875551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 64cda76d-60f2-4ff8-b785-86a2a7ef2593 · outbound

This paper cites L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes.

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:40:58.861607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 64cda76d-60f2-4ff8-b785-86a2a7ef2593 · inbound