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Paper Citation Record · LEDGER

DOFEN: Deep Oblivious Forest ENsemble

As of 21 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2412.16534.

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

pith.paper-citation-record.v1
2412.16534 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:33:30.138629Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

44 of 44 outbound references displayed

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  • unresolved17
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0169f383-afd0-4738-833f-d21d52ccac78 · outbound

This paper cites Why do tree-based models still outperform deep learning on typical tabular data? Advances in Neural Information Processing Systems 2022, 35, 507–520.

DOFEN: Deep Oblivious Forest ENsemble Why do tree-based models still outperform deep learning on typical tabular data? Advances in Neural Information Processing Systems 2022, 35, 507–520

Reference 1

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Observation 0b1aa764-9348-4371-b0d1-9596f8445f12 · outbound

This paper cites V .; Gulin, A.

DOFEN: Deep Oblivious Forest ENsemble V .; Gulin, A

Reference 2

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Source-reported events for the cited work

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Observation 92ccd13e-ea13-474d-8e5c-7d805f1e1ee0 · outbound

This paper cites Xgboost: A scalable tree boosting system.

DOFEN: Deep Oblivious Forest ENsemble Xgboost: A scalable tree boosting system

Reference 3

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Observation c73f5854-5190-4a15-8c79-8a0b4f622840 · outbound

This paper cites Revisiting deep learning models for tabular data.

DOFEN: Deep Oblivious Forest ENsemble Revisiting deep learning models for tabular data

Reference 4

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Source-reported events for the cited work

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Observation 23f6217c-a37f-40dd-a833-75e6e671d3a8 · outbound

This paper cites Tabular data: Deep learning is not all you need.Information Fusion 2022, 81, 84–90.

DOFEN: Deep Oblivious Forest ENsemble Tabular data: Deep learning is not all you need.Information Fusion 2022, 81, 84–90

Reference 5

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Observation 54677383-aa66-4a04-89b6-f06d9a1a2893 · outbound

This paper cites Deep neural networks and tabular data: A survey.

DOFEN: Deep Oblivious Forest ENsemble Deep neural networks and tabular data: A survey

Reference 6

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Source-reported events for the cited work

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Observation c5fed427-295c-42d6-9dca-c89191c1a85c · outbound

This paper cites When Do Neural Nets Outperform Boosted Trees on Tabular Data?.

DOFEN: Deep Oblivious Forest ENsemble When Do Neural Nets Outperform Boosted Trees on Tabular Data?

Reference 7

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Source-reported events for the cited work

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Observation a84ae735-e64b-4b87-b513-eb7c3fc03a99 · outbound

This paper cites Random forests.

DOFEN: Deep Oblivious Forest ENsemble Random forests

Reference 8

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Source-reported events for the cited work

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Observation c68d4554-13d3-4f61-8273-10dfbca129e2 · outbound

This paper cites Extremely randomized trees.Machine learning 2006, 63, 3–42.

DOFEN: Deep Oblivious Forest ENsemble Extremely randomized trees.Machine learning 2006, 63, 3–42

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 00367738-f7c9-4d33-9254-6fb990682602 · outbound

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

DOFEN: Deep Oblivious Forest ENsemble Lightgbm: A highly efficient gradient boosting decision tree

Reference 10

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Observation 0eea35f1-b884-4668-9baf-9e5396737de7 · outbound

This paper cites Bottom-up induction of oblivious read-once decision graphs.

DOFEN: Deep Oblivious Forest ENsemble Bottom-up induction of oblivious read-once decision graphs

Reference 11

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Source-reported events for the cited work

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Observation 996f538a-3db4-4c2f-a20a-9c69868bfcf5 · outbound

This paper cites Bdt: Gradient boosted decision tables for high accuracy and scoring efficiency.

DOFEN: Deep Oblivious Forest ENsemble Bdt: Gradient boosted decision tables for high accuracy and scoring efficiency

Reference 12

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Source-reported events for the cited work

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Observation b77c6eea-4ce3-4302-b24e-9abe76ed25bc · outbound

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DOFEN: Deep Oblivious Forest ENsemble Unresolved cited work

Reference 13

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Source-reported events for the cited work

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Observation cb7a647c-e372-4529-b19f-0cbc59ea9265 · outbound

This paper cites Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data.

DOFEN: Deep Oblivious Forest ENsemble Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

Reference 14

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Source-reported events for the cited work

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Observation 266a9aa4-8760-4b4c-a401-585c386dd9e8 · outbound

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DOFEN: Deep Oblivious Forest ENsemble Unresolved cited work

Reference 15

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Source-reported events for the cited work

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Observation 1ef975d1-ee2a-4db1-980f-1f3b3464ac83 · outbound

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DOFEN: Deep Oblivious Forest ENsemble Unresolved cited work

Reference 16

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Source-reported events for the cited work

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Observation 41b53974-aecf-4246-96e3-902fdfd5b91b · outbound

This paper cites Deep forest.

DOFEN: Deep Oblivious Forest ENsemble Deep forest

Reference 17

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Source-reported events for the cited work

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Observation 6ab05040-5d66-4f1a-b063-7fb760028e72 · outbound

This paper cites Ö.; Pfister, T.

DOFEN: Deep Oblivious Forest ENsemble Ö.; Pfister, T

Reference 18

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Observation 0454d3b8-35d4-422a-aab1-80b3418e443f · outbound

This paper cites GradTree: Learning axis-aligned deci- sion trees with gradient descent.

DOFEN: Deep Oblivious Forest ENsemble GradTree: Learning axis-aligned deci- sion trees with gradient descent

Reference 19

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Source-reported events for the cited work

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Observation 445479c4-4577-4288-9056-60f9616911a2 · outbound

This paper cites GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data.

DOFEN: Deep Oblivious Forest ENsemble GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data

Reference 20

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Source-reported events for the cited work

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Observation e215ed63-88ad-4747-b44d-e94438a98569 · outbound

This paper cites TabTransformer: Tabular Data Modeling Using Contextual Embeddings.

DOFEN: Deep Oblivious Forest ENsemble TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Reference 21

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Source-reported events for the cited work

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Observation 20a06c32-0d25-4588-92f8-a8f3ac1d403c · outbound

This paper cites SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training.

DOFEN: Deep Oblivious Forest ENsemble SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 22

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Observation ccac2332-c137-48f6-806e-320b5f194669 · outbound

This paper cites TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second.

DOFEN: Deep Oblivious Forest ENsemble TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second

Reference 23

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Observation 0abf3514-8039-49b7-854a-c30cbd8925c1 · outbound

This paper cites Trompt: Towards a Better Deep Neural Network for Tabular Data.

DOFEN: Deep Oblivious Forest ENsemble Trompt: Towards a Better Deep Neural Network for Tabular Data

Reference 24

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Observation 737359ad-c9f6-4515-aba9-44f5d9aacf93 · outbound

This paper cites N.; Kaiser, Ł.; Polosukhin, I.

DOFEN: Deep Oblivious Forest ENsemble N.; Kaiser, Ł.; Polosukhin, I

Reference 25

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Observation c6ea1d95-f249-44a3-9e98-7d493005f93b · outbound

This paper cites Transformers Can Do Bayesian Inference.

DOFEN: Deep Oblivious Forest ENsemble Transformers Can Do Bayesian Inference

Reference 26

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Observation 410b349b-d351-4f3b-b6f0-9e962ed4bef8 · outbound

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DOFEN: Deep Oblivious Forest ENsemble Unresolved cited work

Reference 27

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Observation cc57ac64-7669-48b4-90f1-be0cf14211ed · outbound

This paper cites Advances in neural information processing systems 2019, 32.

DOFEN: Deep Oblivious Forest ENsemble Advances in neural information processing systems 2019, 32

Reference 28

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Observation 78af75f0-556e-4710-b74d-eef8889d077b · outbound

This paper cites Decoupled Weight Decay Regularization.

DOFEN: Deep Oblivious Forest ENsemble Decoupled Weight Decay Regularization

Reference 29

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Observation e7dfadf0-e762-43d3-8bdb-5206169a2e27 · outbound

This paper cites https://github.com/facebookresearch/fvcore/.

DOFEN: Deep Oblivious Forest ENsemble https://github.com/facebookresearch/fvcore/

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 8586068d-4055-48ba-8aaf-0f6773a208e4 · outbound

This paper cites OpenML Benchmarking Suites.

DOFEN: Deep Oblivious Forest ENsemble OpenML Benchmarking Suites

Reference 31

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Observation 23fd2067-d0fb-4e6c-a003-1c3ebed08e2a · outbound

This paper cites 2019;https://www.kaggle.com/code/donkeys/ lgbm-with-hyperopt-tuning/notebook , [Online; accessed 5-January-2023].

DOFEN: Deep Oblivious Forest ENsemble 2019;https://www.kaggle.com/code/donkeys/ lgbm-with-hyperopt-tuning/notebook , [Online; accessed 5-January-2023]

Reference 32

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Source-reported events for the cited work

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Observation 41e75c68-983b-4151-b17c-56606cb2958e · outbound

This paper cites Understanding LightGBM Parameters (and How to Tune Them).

DOFEN: Deep Oblivious Forest ENsemble Understanding LightGBM Parameters (and How to Tune Them)

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3d47601f-a8b8-4215-9018-0ec3b9412db5 · outbound

This paper cites For categorical columns in particular, we employ embedding layers.

DOFEN: Deep Oblivious Forest ENsemble For categorical columns in particular, we employ embedding layers

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation edab5daf-3218-4912-ba1d-b09dcfad7541 · outbound

This paper cites The relevant structures and processes are illustrated in Figure 6 and Figure 7.

DOFEN: Deep Oblivious Forest ENsemble The relevant structures and processes are illustrated in Figure 6 and Figure 7

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3b98d76c-a063-4b57-ba0d-22f5b40101d4 · outbound

This paper cites This parameter represents the number of distinct categories in a given categorical column.

DOFEN: Deep Oblivious Forest ENsemble This parameter represents the number of distinct categories in a given categorical column

Reference 36

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raw_fallback, observed 2026-08-11T10:33:30.631178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 867acae2-d03c-4cb6-ba0a-beb8a7b72070 · outbound

This paper cites an unresolved cited work.

DOFEN: Deep Oblivious Forest ENsemble Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-11T10:33:30.617412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 86b800d7-ca61-4a41-81d0-96b9f7cd96e5 · outbound

This paper cites an unresolved cited work.

DOFEN: Deep Oblivious Forest ENsemble Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-11T10:33:30.603357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T10:33:29.977555Z digest=sha256:461f55ba5190e997dc36eaf4dca937fe129767f4bb51dc3b95a2746e6a50c961

Observation 0864a08b-702e-4107-be3f-61e2bc711c48 · outbound

This paper cites Train" refers to training performance, and “Test.

DOFEN: Deep Oblivious Forest ENsemble Train" refers to training performance, and “Test

Reference 39

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T10:33:30.245327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 70762961-07f7-4e61-a58f-0a145f754477 · outbound

This paper cites an unresolved cited work.

DOFEN: Deep Oblivious Forest ENsemble Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-11T10:33:30.588971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T10:33:30.122046Z digest=sha256:0c82f2f21fb8959063f66b14eea6c09e432c966ce773903f6818c82dd551139e

Observation 67cbfa01-49aa-4f5e-8325-df19f43c3043 · outbound

This paper cites deep learning model.

DOFEN: Deep Oblivious Forest ENsemble deep learning model

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:33:30.575830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 583ee5ce-e173-453f-b70c-2fa42a3d387d · outbound

This paper cites We choose to use an adaptive batch size for each dataset, which is set to min{256, 2⌊log2( N 10 )⌋}, where N represents dataset size.

DOFEN: Deep Oblivious Forest ENsemble We choose to use an adaptive batch size for each dataset, which is set to min{256, 2⌊log2( N 10 )⌋}, where N represents dataset size

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:33:30.503583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T10:33:30.134527Z digest=sha256:783076b0fd7b98363c602d82836000279bb0499ccf5179c75ae41e26a5ca28c4

Observation 8ae31e7d-973a-4d68-bca7-e7fe877b3b1c · outbound

This paper cites L" indicates large datasets (data size > 10000),.

DOFEN: Deep Oblivious Forest ENsemble L" indicates large datasets (data size > 10000),

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:33:30.429356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T10:33:30.138629Z digest=sha256:4cfc263c958cde0db82b23ab7755c890d13c3de4658e4e305f18dcae89364e63

Observation f135768d-fd91-473c-91e3-0984be2a7e47 · outbound

This paper cites For experimental settings, we strictly follow the settings mentioned in GRANDE paper.

DOFEN: Deep Oblivious Forest ENsemble For experimental settings, we strictly follow the settings mentioned in GRANDE paper

Reference 1000

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:33:30.562891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T10:33:30.130448Z digest=sha256:8fc2b7e52a5b8fe3d05f8a5a4f320cd3d0a737cfc49437dbfca6908e27ee935f

Pith citing papers

No inbound Pith citation observations are available.