Paper Citation Record · LEDGER

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning

As of 20 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 4 inbound Pith citation observations for arXiv:2411.17207.

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

pith.paper-citation-record.v1
2411.17207 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:29:54.776725Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T00:30:39.185222Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:09:14.234500Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy2
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 46925ca4-06c5-49a1-8538-2f05e6235f3b · outbound

This paper cites TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:54.661015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e62b39ba-ab8a-4cdd-936e-57381ee84b03 · outbound

This paper cites I., Mezaris, V., and Patras, I.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning I., Mezaris, V., and Patras, I

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:55.260707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fd07f374-9624-4445-8965-4bc38d0ed770 · outbound

This paper cites R., Wang, J., Cong, Q., Kinch, L.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning R., Wang, J., Cong, Q., Kinch, L

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:55.247841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fcc2d5d8-d305-4745-bf0b-a5497942a5e7 · outbound

This paper cites Graph Mamba: Towards Learning on Graphs with State Space Models.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Graph Mamba: Towards Learning on Graphs with State Space Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:54.674105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c9baf60-ad69-4db3-bcc9-e881fca9248b · outbound

This paper cites Longformer: The Long-Document Transformer.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Longformer: The Long-Document Transformer

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:54.678548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c2ebe2c-0c10-4085-b84e-9ba74f01368c · outbound

This paper cites an unresolved cited work.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:29:55.235347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e89b1297-c6ad-4ec5-845f-e0026ac10a7b · outbound

This paper cites Language Models are Few-Shot Learners.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Language Models are Few-Shot Learners

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:54.687786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f23be3a-27e1-42f9-82be-7c05214b837c · outbound

This paper cites an unresolved cited work.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:29:55.222647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ddd4c50a-3140-43bc-8b5f-a6f33b5c2318 · outbound

This paper cites an unresolved cited work.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:29:55.209568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ec150b5d-f732-4a8d-a2f2-0fe5695876d9 · outbound

This paper cites an unresolved cited work.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:29:55.196127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a65f3fcc-8dae-458e-8d36-c6ffd7ff3d02 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:54.703664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 149b0e07-e41f-41a1-b530-2b9075144cf0 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Efficiently Modeling Long Sequences with Structured State Spaces

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:54.707814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 455009d5-daa4-458a-9a58-61a4432a256e · outbound

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

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:54.711804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4edd691-875c-4b2c-a4cb-c7f4ce3b6e17 · outbound

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

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:54.716072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae2c1058-c713-43b9-b25c-96e35d2a099f · outbound

This paper cites an unresolved cited work.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:29:55.184093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f42583ff-8bfd-4892-a4be-258bafad4624 · outbound

This paper cites Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:54.723800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0a0d561-709c-4dcb-83a0-ed78326a8a9d · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Jamba: A Hybrid Transformer-Mamba Language Model

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:54.727652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6684e7c7-3c46-4c8f-ae69-109fc8603fa4 · outbound

This paper cites Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:54.731620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19ea2886-299d-4ec0-8e3a-94c6bcb8eb58 · outbound

This paper cites an unresolved cited work.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:29:55.170549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 89d0f6e3-059c-421b-b8fb-55ad3b6608dd · outbound

This paper cites an unresolved cited work.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:29:55.156177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 57ddfeaf-1baa-4cc7-a8c0-0709588ac50b · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning MTEB: Massive Text Embedding Benchmark

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:54.742955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc403086-ebb6-4fe4-941d-6ec37385023c · outbound

This paper cites InterpretML: A Unified Framework for Machine Learning Interpretability.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning InterpretML: A Unified Framework for Machine Learning Interpretability

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:54.747063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 281ea0cd-b154-4e04-ad94-df9ae663f0d8 · outbound

This paper cites MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:54.751155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 627972d0-537d-4179-8d98-f4691b516bd3 · outbound

This paper cites Mambular: A Sequential Model for Tabular Deep Learning.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Mambular: A Sequential Model for Tabular Deep Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:54.755464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 445d1654-75d6-41e8-a91b-be966de45b94 · outbound

This paper cites an unresolved cited work.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:29:55.142031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cb0da1b9-94db-4d8a-b224-f507ee146ad7 · outbound

This paper cites Point Cloud Mamba: Point Cloud Learning via State Space Model.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:54.763707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28a60ac9-c77c-4670-ab2f-50f9588149b7 · outbound

This paper cites @esa (Ref.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning @esa (Ref

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:54.768159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a697f20-9371-4204-bb4f-a9f398e18984 · outbound

This paper cites an unresolved cited work.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:54.772391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a11fa93-0f00-4f96-980a-9ae10feaea71 · outbound

This paper cites [ !J ;vp F СCi#Fo ^ۛݻ VZѱcG֭[ӧO l3< '' C6m z@.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning [ !J ;vp F СCi#Fo ^ۛݻ VZѱcG֭[ӧO l3< '' C6m z@

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:54.776725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 929202fd-4ef0-4f89-bd4a-6d9a4a7147bc · inbound

Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment cites this paper.

Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:25:44.730146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 747afea2-acb1-4574-a26e-e55b9e513c22 · inbound

Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment cites this paper.

Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:35:10.301984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0595fd15-1c4a-4789-a0ca-21eafc06402a · inbound

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks cites this paper.

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.752708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a298b057-aa3a-4fb8-8898-c50219ce379f · inbound

An approach with Visual and Tabular Mamba to multimodal medical data using Mixed Fusion cites this paper.

An approach with Visual and Tabular Mamba to multimodal medical data using Mixed Fusion On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:09:14.236667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.