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Paper Citation Record · LEDGER

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules

As of 19 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2501.09900.

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

pith.paper-citation-record.v1
2501.09900 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:39:55.643559Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

42 of 42 outbound references displayed

  • verified exact2
  • verified fuzzy28
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 061b3630-94ad-4aad-b600-f8cba400e16e · outbound

This paper cites write newline.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:39:55.412948Z digest=sha256:4169a5faf7eeb044122fe7d22f99748aaa3b0ce70b09c91647ffca2d37819e36

Observation 0186d0ef-66f9-4f11-b9c2-b9481ae35a6f · outbound

This paper cites Bart: Bayesian additive regression trees.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Bart: Bayesian additive regression trees

Reference 2

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no resolver link, observed 2026-08-10T19:39:55.419707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6b1ce61c-d341-439b-87e7-6d5c89057831 · outbound

This paper cites A decision-theoretic generalization of on-line learning and an application to boosting.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules A decision-theoretic generalization of on-line learning and an application to boosting

Reference 3

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no resolver link, observed 2026-08-10T19:39:55.425395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:39:55.425395Z digest=sha256:5b30548b87b8dee1c2fae1830589dc7029148ed1098f2eebdb41db2f33cd1de6

Observation 2620c516-1157-4f26-b61f-cac0d718c691 · outbound

This paper cites Bagging predictors.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Bagging predictors

Reference 4

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no resolver link, observed 2026-08-10T19:39:55.430954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 66f1a42d-617b-4fee-a908-477f66300d4c · outbound

This paper cites Random forests.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Random forests

Reference 5

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unresolved
no resolver link, observed 2026-08-10T19:39:55.437463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0f6f0f9f-f088-4ee8-903a-1e129b64bb1a · outbound

This paper cites The B ayesian additive classification tree applied to credit risk modelling.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules The B ayesian additive classification tree applied to credit risk modelling

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8074f6a7-cdab-4097-92a6-d7cebdbc78dc · outbound

This paper cites Multinomial probit B ayesian additive regression trees.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Multinomial probit B ayesian additive regression trees

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e1a9cfc3-f48d-4c36-abbd-79e1f6321783 · outbound

This paper cites Variable selection for BART : an application to gene regulation.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Variable selection for BART : an application to gene regulation

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-10T19:39:56.374131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T19:39:55.454199Z digest=sha256:75d81c3c0ed5936c95c64026387f3e752e6fe3974fd6176add514a23fad2a8ac

Observation e56c2036-cf91-4cc0-af41-66135548a528 · outbound

This paper cites Bayesian regression trees for high-dimensional prediction and variable selection.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Bayesian regression trees for high-dimensional prediction and variable selection

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-10T19:39:56.358378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e0795f0e-ba10-4b1c-a1b5-ebc9cec1e71a · outbound

This paper cites m BART : M ultidimensional M onotone BART.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules m BART : M ultidimensional M onotone BART

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-10T19:39:56.341244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b0fdbf7e-bc5d-4abd-ba20-50c3288a0cb0 · outbound

This paper cites Bayesian nonparametric modeling for causal inference.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Bayesian nonparametric modeling for causal inference

Reference 11

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no resolver link, observed 2026-08-10T19:39:55.469778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9bd2af00-7c55-47fa-ace2-91911d70dfc2 · outbound

This paper cites Nonparametric survival analysis using B ayesian additive regression trees ( BART ).

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Nonparametric survival analysis using B ayesian additive regression trees ( BART )

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3fe99e3c-a92b-4ed6-a50a-3f503a1954be · outbound

This paper cites Bayesian Additive Regression Trees With Parametric Models of Heteroskedasticity.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Bayesian Additive Regression Trees With Parametric Models of Heteroskedasticity

Reference 13

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verified exact
local_arxiv, observed 2026-08-10T19:39:55.855441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 61394d8a-bbaf-4577-8cea-9a3e1ee36140 · outbound

This paper cites Efficient M etropolis-- H astings proposal mechanisms for B ayesian regression tree models.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Efficient M etropolis-- H astings proposal mechanisms for B ayesian regression tree models

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T19:39:55.486452Z digest=sha256:c7b4b62fa1a615a17f71f8258c5bfd41c0141cdfb10e092a60983db7df484d3a

Observation 7ed83fd9-b578-4d85-aca6-9dcf13e27003 · outbound

This paper cites Log-linear B ayesian additive regression trees for multinomial logistic and count regression models.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Log-linear B ayesian additive regression trees for multinomial logistic and count regression models

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-10T19:39:56.274627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f9551f7f-aa46-4356-888e-08f4db9c9e80 · outbound

This paper cites Bart-based inference for poisson processes.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Bart-based inference for poisson processes

Reference 16

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T19:39:55.499619Z digest=sha256:e7effe522fcdc7adc20bf4bc2f44221c23c5e13954c0a8a1a56faf508fb0efb4

Observation 54d7bd5a-15bc-4b98-9fef-8d5aed508fb8 · outbound

This paper cites Posterior concentration for B ayesian regression trees and forests.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Posterior concentration for B ayesian regression trees and forests

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 36032fab-ca58-47c6-85f2-f7d9b5563526 · outbound

This paper cites On T heory for BART.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules On T heory for BART

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e9141b54-d34a-40a6-8256-dd8bc44baef2 · outbound

This paper cites Bayesian regression tree ensembles that adapt to smoothness and sparsity.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Bayesian regression tree ensembles that adapt to smoothness and sparsity

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a6e26753-ff9b-4d97-bc45-fc3e7a66ae74 · outbound

This paper cites Random tessellation forests.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Random tessellation forests

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 339625a6-4927-4022-bd0f-a1cdf15c6d0f · outbound

This paper cites The Ostomachion Process.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules The Ostomachion Process

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d807d7f6-bba2-4a3b-b896-7b63d0fe2e48 · outbound

This paper cites Sparse projection oblique randomer forests.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Sparse projection oblique randomer forests

Reference 22

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2df9cc43-beaa-42a0-95cd-b53bdd6afdfb · outbound

This paper cites Canonical Correlation Forests.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Canonical Correlation Forests

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 550627db-825c-42a4-8257-6890f11136b4 · outbound

This paper cites Rotation forest: A new classifier ensemble method.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Rotation forest: A new classifier ensemble method

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 85891284-5c9a-43ca-aa37-cea758864b91 · outbound

This paper cites Regularizing axis-aligned ensembles via data rotations that favor simpler learners.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Regularizing axis-aligned ensembles via data rotations that favor simpler learners

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-10T19:39:56.118417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 40aac431-445e-4230-85c4-c9fe6527bb3e · outbound

This paper cites Random rotation ensembles.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Random rotation ensembles

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a55a248f-d39c-4026-8929-751c95656bd4 · outbound

This paper cites Addivortes:(bayesian) additive voronoi tessellations.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Addivortes:(bayesian) additive voronoi tessellations

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c501f434-6fcd-4d07-bb3d-403b4a64c73e · outbound

This paper cites an unresolved cited work.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Unresolved cited work

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f6a6cc00-4951-413f-8891-56d6ef220ef8 · outbound

This paper cites Bamdt: Bayesian additive semi-multivariate decision trees for nonparametric regression.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Bamdt: Bayesian additive semi-multivariate decision trees for nonparametric regression

Reference 29

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raw_fallback, observed 2026-08-10T19:39:56.066779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 75fd21f6-c2de-4016-ba15-2b1ffd7957f3 · outbound

This paper cites A Survey of Algorithms for Geodesic Paths and Distances.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules A Survey of Algorithms for Geodesic Paths and Distances

Reference 30

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 79aa53d9-02b9-4122-a561-cd5fb433a8b5 · outbound

This paper cites Normalized cuts and image segmentation.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Normalized cuts and image segmentation

Reference 31

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unresolved
no resolver link, observed 2026-08-10T19:39:55.585487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:39:55.585487Z digest=sha256:b87bac87f3c17d795a701922e1c14bd3dd0496479cf77c72372a28ecec1139fe

Observation eb31ca31-61eb-400e-83d2-1a7825c78768 · outbound

This paper cites Diffusion maps.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Diffusion maps

Reference 32

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unresolved
no resolver link, observed 2026-08-10T19:39:55.590532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:39:55.590532Z digest=sha256:b45663224fb43b926f6631f95507f05e0a336cbd8b415bef529ba21ea91a9fa7

Observation fb6bea04-4488-4576-aa77-7f75056eab31 · outbound

This paper cites Laplacian eigenmaps for dimensionality reduction and data representation.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Laplacian eigenmaps for dimensionality reduction and data representation

Reference 33

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unresolved
no resolver link, observed 2026-08-10T19:39:55.595783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:39:55.595783Z digest=sha256:d4bb37a05c92da6a7bf986e25fec2d55ea6b451149bbe86a1f386491466173e8

Observation a653d1eb-cea8-4d0c-b495-864dbd777b01 · outbound

This paper cites Random walks on graphs.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Random walks on graphs

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-10T19:39:56.013531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5d017a8d-a5b9-47de-b3c1-562e082ef5db · outbound

This paper cites Graph based gaussian processes on restricted domains.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Graph based gaussian processes on restricted domains

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-10T19:39:55.994614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T19:39:55.606135Z digest=sha256:46b305b87241f686a1612483c8019bd39855e161f27fb95e128ecd656eae39ef

Observation fdda0a67-26fe-4b42-a9d3-c23bb3b8c7f6 · outbound

This paper cites Understanding predictive information criteria for bayesian models.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Understanding predictive information criteria for bayesian models

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:39:55.975548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T19:39:55.611179Z digest=sha256:9c4a373c525db573019d24815255c5dd363aaa248905dd4a6dd49715f9ff1ce0

Observation 7d3f1bf0-3a44-4161-9986-95393fb2ad5f · outbound

This paper cites Stochastic tree ensembles for regularized nonlinear regression.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Stochastic tree ensembles for regularized nonlinear regression

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:39:55.957586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T19:39:55.616717Z digest=sha256:d70af2cd080e79aeb6edfb70172048c48063d24c635bc7623534862c2ca5d5ef

Observation 45b94d60-79c4-4ce2-864b-b9a6f91f93bf · outbound

This paper cites The theory of branching processes, volume 6.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules The theory of branching processes, volume 6

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:39:55.939506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T19:39:55.622636Z digest=sha256:f88c2e220621d08ca30fb1f53f1743f9ca3cd5b80964768ac268ddfb5e8aad9d

Observation 317014d7-223f-4fa4-b56f-6c5877ec98aa · outbound

This paper cites Local gaussian process extrapolation for bart models with applications to causal inference.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Local gaussian process extrapolation for bart models with applications to causal inference

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:39:55.922184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T19:39:55.627827Z digest=sha256:2c3af6f6109f7697420f8c5300f8cfd364fb51c753ed8551718a9f3fa470f5d5

Observation 2a00a7c2-7a71-4ac7-826e-1a9396f5e569 · outbound

This paper cites B ayesian backfitting (with comments and a rejoinder by the authors).

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules B ayesian backfitting (with comments and a rejoinder by the authors)

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:39:55.904095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T19:39:55.633057Z digest=sha256:f9e1d8e93d70581c2270ccfd60ceb51a3c7354b70a4bd2fc12433793dce8d4d5

Observation 3db0d765-c4c8-4b3d-bf61-d63944ea8626 · outbound

This paper cites Strictly proper scoring rules, prediction, and estimation.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Strictly proper scoring rules, prediction, and estimation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T19:39:55.638455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:39:55.638455Z digest=sha256:2c36e321f15f9e276951e68f236ea5fc087a2a31d7f75e1ee9a58e93c9fec2cd

Observation 5810e8e2-9736-4871-af12-8290814447c5 · outbound

This paper cites URL :https://geodacenter.github.io/data-and-lab/NYC_Tract_ACS2008_12/.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules URL :https://geodacenter.github.io/data-and-lab/NYC_Tract_ACS2008_12/

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:39:55.873349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T19:39:55.643559Z digest=sha256:8304c516b879729193bc4cb731e40a064fe04fc99a9f5d0189996dad443eed49

Pith citing papers

No inbound Pith citation observations are available.