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Paper Citation Record · LEDGER

Why do tree-based models still outperform deep learning on tabular data?

As of 1 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2207.08815.

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

pith.paper-citation-record.v1
2207.08815 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-01T06:32:01.292127+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:03:17.505202Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 30c5fee3-f2a2-4a08-afa7-2ece0003ed57 · inbound

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

TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Why do tree-based models still outperform deep learning on tabular data?

Reference 9

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arxiv_id, observed 2026-05-15T03:04:00.554716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 0a092ee1-8c80-4952-9234-56f311a42ffc · inbound

AXIL: Exact Instance Attribution for Gradient Boosting cites this paper.

AXIL: Exact Instance Attribution for Gradient Boosting Why do tree-based models still outperform deep learning on tabular data?

Reference 7

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arxiv_id, observed 2026-05-24T09:59:18.538576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation ebd4de7c-c33c-42e3-ac7d-e671692ba4fe · inbound

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data cites this paper.

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data Why do tree-based models still outperform deep learning on tabular data?

Reference 198

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arxiv_id, observed 2026-05-20T13:35:02.220969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=arxiv_source observed=2026-05-20T13:35:02.018244Z digest=sha256:81f4709e9c5bf83dd1feade618cd0a2eb644b4d6383d1e49bc37572ad0374d23

Observation be6a0635-b5bc-4948-89c7-06f0991a696e · inbound

Filtering Interlopers with Photometry and Diagnostic Features: A Machine Learning Framework Validated with CSST Slitless Spectroscopy cites this paper.

Filtering Interlopers with Photometry and Diagnostic Features: A Machine Learning Framework Validated with CSST Slitless Spectroscopy Why do tree-based models still outperform deep learning on tabular data?

Reference 41

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arxiv_id, observed 2026-05-21T16:14:15.097922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-21T16:12:23.173655Z digest=sha256:135d7fc468de1436018e2be2807bc88e457ae903946d4c605d10f7b02f937717

Observation a6463342-5140-42c0-918c-de3f95eece5b · inbound

UniRec: Unified Multimodal Encoding for LLM-Based Recommendations cites this paper.

UniRec: Unified Multimodal Encoding for LLM-Based Recommendations Why do tree-based models still outperform deep learning on tabular data?

Reference 2

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arxiv_id, observed 2026-05-16T10:50:51.364733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 7532715e-6567-4149-96a3-8ebdb916de21 · inbound

Optimizing IoT Intrusion Detection with Tabular Foundation Models for Smart City Forensics cites this paper.

Optimizing IoT Intrusion Detection with Tabular Foundation Models for Smart City Forensics Why do tree-based models still outperform deep learning on tabular data?

Reference 10

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arxiv_id, observed 2026-05-10T15:50:34.065585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:47:47.823351Z digest=sha256:869300303dc7d03518aeb90de255ef28e8c926b9ed7276f2ddbb2c5ed943316f

Observation 19ab89a5-2d92-463f-9496-b317816c7985 · inbound

Reciprocal Co-Training (RCT): Coupling Gradient-Based and Non-Differentiable Models via Reinforcement Learning cites this paper.

Reciprocal Co-Training (RCT): Coupling Gradient-Based and Non-Differentiable Models via Reinforcement Learning Why do tree-based models still outperform deep learning on tabular data?

Reference 16

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verified exact
arxiv_id, observed 2026-05-15T00:13:21.614383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=arxiv_source observed=2026-05-15T00:13:01.186687Z digest=sha256:3b9495232955f3ec46bdfed5fffcbf39c75484249da775a0328ef1a37d8ed0db

Observation 91a9650a-e47e-457a-abac-efbcbe3a341f · inbound

Cooperative Coevolution versus Monolithic Evolutionary Search for Semi-Supervised Tabular Classification cites this paper.

Cooperative Coevolution versus Monolithic Evolutionary Search for Semi-Supervised Tabular Classification Why do tree-based models still outperform deep learning on tabular data?

Reference 7

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arxiv_id, observed 2026-05-13T21:48:19.212261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-13T21:46:49.406704Z digest=sha256:080ca3bcc90ad4cb6a301fb1424d0cf863acdde4dca501bdccf15de20a9cfac3

Observation 6ccdf942-d24c-43f3-8069-3adb6128f13c · inbound

Kitchen Sink Anomaly Detection cites this paper.

Kitchen Sink Anomaly Detection Why do tree-based models still outperform deep learning on tabular data?

Reference 28

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verified exact
arxiv_id, observed 2026-05-11T14:06:03.940820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T23:30:30.344180Z digest=sha256:3930e0633b904a62811c7c794486eec7461581b87c0dc1ca72d7f2bcaa5dac22

Observation 966c264c-27d6-44c3-892d-aa349fbc3e69 · inbound

Who Audits the Auditor? Tamper-Proof Fraud Detection with Blockchain-Anchored Explainable ML cites this paper.

Who Audits the Auditor? Tamper-Proof Fraud Detection with Blockchain-Anchored Explainable ML Why do tree-based models still outperform deep learning on tabular data?

Reference 8

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metadata mismatch
arxiv_id, observed 2026-05-11T14:51:12.357694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-09T20:55:48.396347Z digest=sha256:73de607667c1df080b7378888b5af5aa006f717ae0cb5984f97f2b06c983b44b

Observation 14aeb93b-531f-480f-a44d-a080d08e4394 · inbound

A Nationwide Japanese Medical Claims Foundation Model: Balancing Model Scaling and Task-Specific Computational Efficiency cites this paper.

A Nationwide Japanese Medical Claims Foundation Model: Balancing Model Scaling and Task-Specific Computational Efficiency Why do tree-based models still outperform deep learning on tabular data?

Reference 14

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arxiv_id, observed 2026-05-11T19:16:07.197012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-08T12:30:14.975755Z digest=sha256:1bfc0c27d797ca7b4f02bbf7f2b0f3fa9289751d75b36bf944f4357600098ee9

Observation f4e62731-81db-4545-a641-af70148a5d6e · inbound

Prior-Aligned Data Cleaning for Tabular Foundation Models cites this paper.

Prior-Aligned Data Cleaning for Tabular Foundation Models Why do tree-based models still outperform deep learning on tabular data?

Reference 13

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arxiv_id, observed 2026-05-11T23:31:17.032257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-07T16:47:31.905149Z digest=sha256:278ac6c996846125d956111c61da58a0e01195cd3766e7ad9821435e1dd8b941

Observation 21de0b08-01d6-456d-b026-9cdf7f5b7edc · inbound

Gradient Boosted Risk Scores cites this paper.

Gradient Boosted Risk Scores Why do tree-based models still outperform deep learning on tabular data?

Reference 18

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metadata mismatch
arxiv_id, observed 2026-05-09T06:15:39.004326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-08T18:40:49.531466Z digest=sha256:2d0f4fd5067965e3cd59ad110a3c5629bdff54b854cc68ed67a9627b99a4ddce

Observation 7ec289c9-0d20-4383-bc5b-d4eb11f48a08 · inbound

Random-Effects Algorithm for Random Objects in Metric Spaces cites this paper.

Random-Effects Algorithm for Random Objects in Metric Spaces Why do tree-based models still outperform deep learning on tabular data?

Reference 21

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metadata mismatch
arxiv_id, observed 2026-05-08T17:23:41.014938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-08T17:20:23.692710Z digest=sha256:a7a1e05e3d3e32878ae4c8f9c10d8b19781adff12db36e83f809c615639ee08c

Observation 61b49e19-1682-48d0-a4b3-d1981af5850f · inbound

Data Language Models: A New Foundation Model Class for Tabular Data cites this paper.

Data Language Models: A New Foundation Model Class for Tabular Data Why do tree-based models still outperform deep learning on tabular data?

Reference 7

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arxiv_id, observed 2026-05-11T20:11:10.210235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-08T10:06:34.627253Z digest=sha256:dc7f4594d225a5055e1218ee10499d48228f21f8fdb8b9a7b0c9ee7792619d68

Observation f5d11d4c-de9d-4624-a798-30c61301d870 · inbound

ASD-Bench: A Four-Axis Comprehensive Benchmark of AI Models for Autism Spectrum Disorder cites this paper.

ASD-Bench: A Four-Axis Comprehensive Benchmark of AI Models for Autism Spectrum Disorder Why do tree-based models still outperform deep learning on tabular data?

Reference 5

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verified exact
arxiv_id, observed 2026-05-13T07:27:29.889273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 28d1029a-da2e-44e9-aec4-2af3b5e6b62d · inbound

Learning Dynamic Stability Landscapes in Synchronization Networks cites this paper.

Learning Dynamic Stability Landscapes in Synchronization Networks Why do tree-based models still outperform deep learning on tabular data?

Reference 228

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verified exact
arxiv_id, observed 2026-05-25T05:05:21.194002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=arxiv_source observed=2026-05-25T05:04:16.957305Z digest=sha256:5822f7ca0828d0899c2e2d803461bf1ab8ffe790cc03bf5c66c5bd7286fbde6f

Observation 9c92251c-65a5-478f-bb1b-a6ae7ac0d57f · inbound

Machine Learning-Based Bitcoin Trading Under Transaction Costs: Evidence From Walk-Forward Forecasting cites this paper.

Machine Learning-Based Bitcoin Trading Under Transaction Costs: Evidence From Walk-Forward Forecasting Why do tree-based models still outperform deep learning on tabular data?

Reference 10

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arxiv_id, observed 2026-06-30T17:44:56.914321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-06-30T17:40:25.934591Z digest=sha256:e8974fe4e926593c7fc8c921d917b8cd55b4e321f18f62c37382c58db42ca6e0

Observation e20cc773-ad62-4442-996d-00a9aa8bee89 · inbound

LimiX-2M: Mitigating Low-Rank Collapse and Attention Bottlenecks in Tabular Foundation Models cites this paper.

LimiX-2M: Mitigating Low-Rank Collapse and Attention Bottlenecks in Tabular Foundation Models Why do tree-based models still outperform deep learning on tabular data?

Reference 12

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verified exact
arxiv_id, observed 2026-07-02T07:16:45.153013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation eaeff27f-728e-401b-b326-4716eef876ce · inbound

The Chandra-Gaia Catalog of Counterparts: Resolving ambiguous Gaia matches to X-ray sources in the Chandra Source Catalog using Machine Learning cites this paper.

The Chandra-Gaia Catalog of Counterparts: Resolving ambiguous Gaia matches to X-ray sources in the Chandra Source Catalog using Machine Learning Why do tree-based models still outperform deep learning on tabular data?

Reference 13

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metadata mismatch
arxiv_id, observed 2026-06-26T18:59:43.609171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=arxiv_source observed=2026-06-26T18:55:03.636902Z digest=sha256:407ceb7a5ec1b390b87f50b5f5cb4ec755468e39fe4a4096ca7120a3dbc4ba97

Observation a6250934-2188-472e-87b1-b2bc17edd02a · inbound

When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning cites this paper.

When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning Why do tree-based models still outperform deep learning on tabular data?

Reference 11

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arxiv_id, observed 2026-07-04T03:29:29.315325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-06-26T18:07:54.436008Z digest=sha256:47479243011ec3f08ac398f28fdd8485517e020ce3cac1fc3e8f25700a984bd0

Observation 19c4b7af-c549-4b0c-9b94-3d0b349c8c86 · inbound

Solve for the Hyperparameter, Skip the Search: Kolmogorov-Optimal Scaling Laws for Spline Regression cites this paper.

Solve for the Hyperparameter, Skip the Search: Kolmogorov-Optimal Scaling Laws for Spline Regression Why do tree-based models still outperform deep learning on tabular data?

Reference 85

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arxiv_id, observed 2026-07-04T10:29:44.720130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=arxiv_source observed=2026-06-26T08:51:34.162328Z digest=sha256:f889bd702f42f196e2fcddf43988c016aded1ee1ee7ebeaabfea9ec62ace4874

Observation 9220d330-3b52-47bc-8f3b-5a9f02471055 · inbound

Modelling convective cell occurrence in proximity to cold fronts using extreme gradient boosting cites this paper.

Modelling convective cell occurrence in proximity to cold fronts using extreme gradient boosting Why do tree-based models still outperform deep learning on tabular data?

Reference 18

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verified exact
arxiv_id, observed 2026-07-04T14:49:55.082731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=arxiv_source observed=2026-06-26T02:31:24.913084Z digest=sha256:972bd74fe336656cb49e917a543d537520adea39ec19b542a9c66411e55f207d

Observation 624a0848-c89f-44e8-b291-7c777cd5e669 · inbound

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky cites this paper.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Why do tree-based models still outperform deep learning on tabular data?

Reference 30

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local_arxiv, observed 2026-07-09T18:56:27.236749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Observation 4b305952-42a1-421f-b0f5-bcac84a802df · inbound

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification cites this paper.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Why do tree-based models still outperform deep learning on tabular data?

Reference 2022

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no resolver link, observed 2026-07-31T22:23:07.593062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T22:23:07.593062Z digest=sha256:8b30d1eb8adc5c34e885230d5cfd544e714bb1d5e9ef1548f9a1b57a36cf8c5f

Observation 860cce1a-3112-4984-bbd4-b20e2d84786a · inbound

Modeling Decisions in Blockchain Analytics: A Leakage-Aware Evaluation of Tree-Based vs. Sequential Models cites this paper.

Modeling Decisions in Blockchain Analytics: A Leakage-Aware Evaluation of Tree-Based vs. Sequential Models Why do tree-based models still outperform deep learning on tabular data?

Reference 7

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no resolver link, observed 2026-08-01T09:03:17.505202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:03:17.505202Z digest=sha256:c2ae16e7e03455c2e821e50e1b2d932a82a9f122d3e0de82e5d08de1c6d6922a

Observation 741dfe95-5b9b-4e9e-b3da-7778209f2c01 · inbound

Compression-Based Behavioral Similarity for Open-World Sybil Discovery on Ethereum cites this paper.

Compression-Based Behavioral Similarity for Open-World Sybil Discovery on Ethereum Why do tree-based models still outperform deep learning on tabular data?

Reference 10

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unresolved
no resolver link, observed 2026-08-01T08:42:13.341832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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