Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T10:33:30.138629Z
Paper Citation Record · LEDGER
As of 15 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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T10:33:30.138629Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
44 of 44 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 0169f383-afd0-4738-833f-d21d52ccac78 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0b1aa764-9348-4371-b0d1-9596f8445f12 · outbound
DOFEN: Deep Oblivious Forest ENsemble V .; Gulin, A
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 92ccd13e-ea13-474d-8e5c-7d805f1e1ee0 · outbound
DOFEN: Deep Oblivious Forest ENsemble Xgboost: A scalable tree boosting system
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c73f5854-5190-4a15-8c79-8a0b4f622840 · outbound
DOFEN: Deep Oblivious Forest ENsemble Revisiting deep learning models for tabular data
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 23f6217c-a37f-40dd-a833-75e6e671d3a8 · outbound
DOFEN: Deep Oblivious Forest ENsemble Tabular data: Deep learning is not all you need.Information Fusion 2022, 81, 84–90
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 54677383-aa66-4a04-89b6-f06d9a1a2893 · outbound
DOFEN: Deep Oblivious Forest ENsemble Deep neural networks and tabular data: A survey
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c5fed427-295c-42d6-9dca-c89191c1a85c · outbound
DOFEN: Deep Oblivious Forest ENsemble When Do Neural Nets Outperform Boosted Trees on Tabular Data?
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a84ae735-e64b-4b87-b513-eb7c3fc03a99 · outbound
DOFEN: Deep Oblivious Forest ENsemble Random forests
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c68d4554-13d3-4f61-8273-10dfbca129e2 · outbound
DOFEN: Deep Oblivious Forest ENsemble Extremely randomized trees.Machine learning 2006, 63, 3–42
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 00367738-f7c9-4d33-9254-6fb990682602 · outbound
DOFEN: Deep Oblivious Forest ENsemble Lightgbm: A highly efficient gradient boosting decision tree
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0eea35f1-b884-4668-9baf-9e5396737de7 · outbound
DOFEN: Deep Oblivious Forest ENsemble Bottom-up induction of oblivious read-once decision graphs
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 996f538a-3db4-4c2f-a20a-9c69868bfcf5 · outbound
DOFEN: Deep Oblivious Forest ENsemble Bdt: Gradient boosted decision tables for high accuracy and scoring efficiency
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b77c6eea-4ce3-4302-b24e-9abe76ed25bc · outbound
DOFEN: Deep Oblivious Forest ENsemble Unresolved cited work
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cb7a647c-e372-4529-b19f-0cbc59ea9265 · outbound
DOFEN: Deep Oblivious Forest ENsemble Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 266a9aa4-8760-4b4c-a401-585c386dd9e8 · outbound
DOFEN: Deep Oblivious Forest ENsemble Unresolved cited work
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1ef975d1-ee2a-4db1-980f-1f3b3464ac83 · outbound
DOFEN: Deep Oblivious Forest ENsemble Unresolved cited work
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 41b53974-aecf-4246-96e3-902fdfd5b91b · outbound
DOFEN: Deep Oblivious Forest ENsemble Deep forest
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6ab05040-5d66-4f1a-b063-7fb760028e72 · outbound
DOFEN: Deep Oblivious Forest ENsemble Ö.; Pfister, T
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0454d3b8-35d4-422a-aab1-80b3418e443f · outbound
DOFEN: Deep Oblivious Forest ENsemble GradTree: Learning axis-aligned deci- sion trees with gradient descent
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 445479c4-4577-4288-9056-60f9616911a2 · outbound
DOFEN: Deep Oblivious Forest ENsemble GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e215ed63-88ad-4747-b44d-e94438a98569 · outbound
DOFEN: Deep Oblivious Forest ENsemble TabTransformer: Tabular Data Modeling Using Contextual Embeddings
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20a06c32-0d25-4588-92f8-a8f3ac1d403c · outbound
DOFEN: Deep Oblivious Forest ENsemble SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ccac2332-c137-48f6-806e-320b5f194669 · outbound
DOFEN: Deep Oblivious Forest ENsemble TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0abf3514-8039-49b7-854a-c30cbd8925c1 · outbound
DOFEN: Deep Oblivious Forest ENsemble Trompt: Towards a Better Deep Neural Network for Tabular Data
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 737359ad-c9f6-4515-aba9-44f5d9aacf93 · outbound
DOFEN: Deep Oblivious Forest ENsemble N.; Kaiser, Ł.; Polosukhin, I
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c6ea1d95-f249-44a3-9e98-7d493005f93b · outbound
DOFEN: Deep Oblivious Forest ENsemble Transformers Can Do Bayesian Inference
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 410b349b-d351-4f3b-b6f0-9e962ed4bef8 · outbound
DOFEN: Deep Oblivious Forest ENsemble Unresolved cited work
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cc57ac64-7669-48b4-90f1-be0cf14211ed · outbound
DOFEN: Deep Oblivious Forest ENsemble Advances in neural information processing systems 2019, 32
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78af75f0-556e-4710-b74d-eef8889d077b · outbound
DOFEN: Deep Oblivious Forest ENsemble Decoupled Weight Decay Regularization
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7dfadf0-e762-43d3-8bdb-5206169a2e27 · outbound
DOFEN: Deep Oblivious Forest ENsemble https://github.com/facebookresearch/fvcore/
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8586068d-4055-48ba-8aaf-0f6773a208e4 · outbound
DOFEN: Deep Oblivious Forest ENsemble OpenML Benchmarking Suites
Reference 31
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23fd2067-d0fb-4e6c-a003-1c3ebed08e2a · outbound
DOFEN: Deep Oblivious Forest ENsemble 2019;https://www.kaggle.com/code/donkeys/ lgbm-with-hyperopt-tuning/notebook , [Online; accessed 5-January-2023]
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 41e75c68-983b-4151-b17c-56606cb2958e · outbound
DOFEN: Deep Oblivious Forest ENsemble Understanding LightGBM Parameters (and How to Tune Them)
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3d47601f-a8b8-4215-9018-0ec3b9412db5 · outbound
DOFEN: Deep Oblivious Forest ENsemble For categorical columns in particular, we employ embedding layers
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation edab5daf-3218-4912-ba1d-b09dcfad7541 · outbound
DOFEN: Deep Oblivious Forest ENsemble The relevant structures and processes are illustrated in Figure 6 and Figure 7
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3b98d76c-a063-4b57-ba0d-22f5b40101d4 · outbound
DOFEN: Deep Oblivious Forest ENsemble This parameter represents the number of distinct categories in a given categorical column
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 867acae2-d03c-4cb6-ba0a-beb8a7b72070 · outbound
DOFEN: Deep Oblivious Forest ENsemble Unresolved cited work
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 86b800d7-ca61-4a41-81d0-96b9f7cd96e5 · outbound
DOFEN: Deep Oblivious Forest ENsemble Unresolved cited work
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0864a08b-702e-4107-be3f-61e2bc711c48 · outbound
DOFEN: Deep Oblivious Forest ENsemble Train" refers to training performance, and “Test
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 70762961-07f7-4e61-a58f-0a145f754477 · outbound
DOFEN: Deep Oblivious Forest ENsemble Unresolved cited work
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 67cbfa01-49aa-4f5e-8325-df19f43c3043 · outbound
DOFEN: Deep Oblivious Forest ENsemble deep learning model
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 583ee5ce-e173-453f-b70c-2fa42a3d387d · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8ae31e7d-973a-4d68-bca7-e7fe877b3b1c · outbound
DOFEN: Deep Oblivious Forest ENsemble L" indicates large datasets (data size > 10000),
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f135768d-fd91-473c-91e3-0984be2a7e47 · outbound
DOFEN: Deep Oblivious Forest ENsemble For experimental settings, we strictly follow the settings mentioned in GRANDE paper
Reference 1000
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
No inbound Pith citation observations are available.