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Paper Citation Record · LEDGER

TabNet: Attentive Interpretable Tabular Learning

As of 21 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 20 inbound Pith citation observations for arXiv:1908.07442.

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

pith.paper-citation-record.v1
1908.07442 v5

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:22:38.339253Z

measured 77 of 77 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 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:43:23.846799Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T19:07:34.961485Z

Reference resolution

57 of 57 outbound references displayed

  • verified exact4
  • verified fuzzy4
  • unresolved47
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5930914b-ff1b-4309-8faa-e9de2d5cc8c8 · outbound

This paper cites Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.

TabNet: Attentive Interpretable Tabular Learning Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-14T12:22:37.954312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:22:37.954312Z digest=sha256:d42fc9054a10422d27e9d351a4566627182ef1a7b641c242504d6077fa33e05f

Observation b3fa31c6-f6e6-4948-9090-0381e53c9915 · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:39.283953Z

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=arxiv_source observed=2026-08-14T12:22:37.960243Z digest=sha256:c36ff991db374610ae63829cbb6c633c0bf50c62f29b054f38c361bcd11de35b

Observation b8f501ee-0187-496a-bef1-632981c454d1 · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:39.269259Z

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=arxiv_source observed=2026-08-14T12:22:37.965771Z digest=sha256:64efbcca7f9997cdef11cfda82c6b7723a513531a4d21831c84543413549aeb3

Observation 2c396d98-0c57-4187-ae06-a6972055311f · outbound

This paper cites Learning to Explain: An Information-Theoretic Perspective on Model Interpretation.

TabNet: Attentive Interpretable Tabular Learning Learning to Explain: An Information-Theoretic Perspective on Model Interpretation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T12:22:37.971592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:22:37.971592Z digest=sha256:82d59869611678705c2a133532e0a9ffdae2a642ad5e8ad7c40c84b49e27b9b5

Observation 30a94fde-7be4-454e-9578-ac4463a37a1f · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:39.254412Z

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=arxiv_source observed=2026-08-14T12:22:37.977017Z digest=sha256:bdee2324bece4659878c593133a6e310119d09be74d629131033cfaac43fbba7

Observation 127d7679-5abc-49ef-b3a4-8731bce3bf6f · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:39.239894Z

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=arxiv_source observed=2026-08-14T12:22:37.982053Z digest=sha256:9657155d69879bde7621f42ebfd2170c20e36cc81cbecbbf560428ce7b8b6a8c

Observation 06b35042-e7ea-4e4e-b0a9-f4e112da7f96 · outbound

This paper cites AdaNet: Adaptive Structural Learning of Artificial Neural Networks.

TabNet: Attentive Interpretable Tabular Learning AdaNet: Adaptive Structural Learning of Artificial Neural Networks

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:22:38.739005Z

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=arxiv_source observed=2026-08-14T12:22:37.987508Z digest=sha256:3e191816eb7f276181ab0f6d073df10664e6e902343935fa630d8ef1a8b21a5c

Observation a4d10c9c-bba5-4a3c-8263-282a8b1a1b86 · outbound

This paper cites Good Semi-supervised Learning that Requires a Bad GAN.

TabNet: Attentive Interpretable Tabular Learning Good Semi-supervised Learning that Requires a Bad GAN

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T12:22:38.716884Z

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=arxiv_source observed=2026-08-14T12:22:37.992812Z digest=sha256:079ff24e358d206af1a2c9454b131ef62dcf2f53b7a3c4da6254e507b914e4df

Observation 631089d9-5ebc-43a7-a635-3fb99c442b6f · outbound

This paper cites Language Modeling with Gated Convolutional Networks.

TabNet: Attentive Interpretable Tabular Learning Language Modeling with Gated Convolutional Networks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T12:22:37.997841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:22:37.997841Z digest=sha256:5eaf7cb05e9daf0e0a031dbff46ad2720c41fa32a696cf5595ec35facad6d44b

Observation dcb0c291-0c92-4dfe-9848-96a63dfb8434 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

TabNet: Attentive Interpretable Tabular Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T12:22:38.002861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:22:38.002861Z digest=sha256:1c42568f18458cf2ba2ceee72ce3a72525c2405aae84f3b420ea0b2b21d312fc

Observation ea187d73-0c3f-44ed-9062-de344d604992 · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:39.224644Z

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=arxiv_source observed=2026-08-14T12:22:38.009255Z digest=sha256:2b21705c92134468749412394b77e29c6c2ff91ef579b9b926d11683ff3e8e5b

Observation d1b2c25e-90b3-4ced-9bfe-e8d08fa5516d · outbound

This paper cites Convolutional Sequence to Sequence Learning.

TabNet: Attentive Interpretable Tabular Learning Convolutional Sequence to Sequence Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T12:22:38.014058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:22:38.014058Z digest=sha256:859694fad5f8e231344330d74ba1f13012cccb65c88e1fcc44e25897d4a85e29

Observation 8d2de9fa-9789-4677-bf98-93850ae2b02a · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:39.209516Z

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=arxiv_source observed=2026-08-14T12:22:38.018857Z digest=sha256:69ef3074a2778f6947de596bb985dbcba5c97434e612501f64f8b1a1b3f287c3

Observation b7878b09-8f3f-4510-8100-58e0e0712024 · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:39.194676Z

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=arxiv_source observed=2026-08-14T12:22:38.023299Z digest=sha256:99b0eebe35207c22c6dafc5199719ccd56491bc1371bfe5a05ec5fda5c654896

Observation 602c3d72-7a66-4d43-bdfd-3a31132ad32c · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:39.179645Z

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=arxiv_source observed=2026-08-14T12:22:38.027991Z digest=sha256:89480e8cb8a6949a2e31b5cc5770dc4f25037c9a5aea7ff4057d7ef59ab19425

Observation 135031f5-c381-451c-98da-ea5c30a76940 · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:39.164297Z

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=arxiv_source observed=2026-08-14T12:22:38.032659Z digest=sha256:41359c898eee0bc9172c830ed0dac67f28d63b6a8d42ff699a76d01c21960c87

Observation 34609140-b532-4730-8107-429b0d1f3378 · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:39.148129Z

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=arxiv_source observed=2026-08-14T12:22:38.037298Z digest=sha256:1486fed388746fe58a59ff37749a9734a354354ac02b47744a0082f3cd96ccd8

Observation ace3136c-f4f7-421a-826f-4909a1009a63 · outbound

This paper cites Deep Residual Learning for Image Recognition.

TabNet: Attentive Interpretable Tabular Learning Deep Residual Learning for Image Recognition

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-14T12:22:38.042034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:22:38.042034Z digest=sha256:45e3a713eb416f1a8be25ba04d7df49af63b205b155c561175a2729fdddec0f5

Observation a05693b5-312e-4643-827d-f8ba22a10c2c · outbound

This paper cites Deep Learning Scaling is Predictable, Empirically.

TabNet: Attentive Interpretable Tabular Learning Deep Learning Scaling is Predictable, Empirically

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-14T12:22:38.157181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:22:38.157181Z digest=sha256:7194d0f0a6a9e03ea5ed61d104295beef662bfa05beb35382c18194f07708483

Observation d9daf07d-f91f-4199-a818-f1bf05a52140 · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:39.131246Z

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=arxiv_source observed=2026-08-14T12:22:38.162420Z digest=sha256:1185916ef71efe9da86f7d07e613dfd732301ba00dc32911cb2fe15c29f4a401

Observation 4e8ecc1f-e236-40ae-8190-19051b5269c1 · outbound

This paper cites Train longer, generalize better: closing the generalization gap in large batch training of neural networks.

TabNet: Attentive Interpretable Tabular Learning Train longer, generalize better: closing the generalization gap in large batch training of neural networks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T12:22:38.167251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:22:38.167251Z digest=sha256:34a3cc675ae4d82a0483f9b81e9679a64221fe77a397a72c4c7356a1b4551f43

Observation e4d52edd-f77c-4259-9a32-0bf2f58c4593 · outbound

This paper cites Compositional Attention Networks for Machine Reasoning.

TabNet: Attentive Interpretable Tabular Learning Compositional Attention Networks for Machine Reasoning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-14T12:22:38.172071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:22:38.172071Z digest=sha256:c26875874d2d3a0e4932a0a7d37335f6dda8bd6a3509f2aa0f159a46de298ff3

Observation fa5fba0c-35a0-4c2f-94ad-67bb1526b8c1 · outbound

This paper cites D.; Peterson , J.

TabNet: Attentive Interpretable Tabular Learning D.; Peterson , J

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:39.114759Z

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=arxiv_source observed=2026-08-14T12:22:38.176819Z digest=sha256:99c8f6c5f77435d97596f636bd0a5ed8f404293d8d58d0b9e6666b97ed659015

Observation 7fb3f491-5655-4ff8-91ec-516f63f8c9b6 · outbound

This paper cites Global Explanations of Neural Networks: Mapping the Landscape of Predictions.

TabNet: Attentive Interpretable Tabular Learning Global Explanations of Neural Networks: Mapping the Landscape of Predictions

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:22:38.587642Z

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=arxiv_source observed=2026-08-14T12:22:38.181185Z digest=sha256:2e2bec47bf3cd7f25166c5dec2bb4da5a76f17dbd5550706479e5afc49dd24a3

Observation 76f7965c-fd16-4422-b89e-4c50272fbf37 · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:39.099871Z

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=arxiv_source observed=2026-08-14T12:22:38.185840Z digest=sha256:c5eb4a986f360078bddb73143adb994fa8f4ef0e11805f54c7165bebc8de0d71

Observation 0a4e1aa6-c49e-4725-87a9-5d7addaab02c · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:39.084704Z

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=arxiv_source observed=2026-08-14T12:22:38.190240Z digest=sha256:1f920ed820f70d57698bb69bf7e0da9be4fe335601fa1d619e425b1d34540ecb

Observation 6baa08f5-22e7-43c5-a0b8-c6c332c70d3b · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:39.068753Z

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=arxiv_source observed=2026-08-14T12:22:38.194766Z digest=sha256:a0f5fb85a6ca0658f6f11a47a7b66df4e6b6a3b713f2c22c1a0bf079134dc92c

Observation 95c053e0-2d69-4d0b-b89f-849732ccb7f2 · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-14T12:22:38.199218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:22:38.199218Z digest=sha256:73aedf1ca37d28b62f0d078de9fd95b49f243d4b89e620721adda50645425472

Observation 248b6412-13ee-4ef8-b76c-1cae492d358f · outbound

This paper cites P.; and Ba, J.

TabNet: Attentive Interpretable Tabular Learning P.; and Ba, J

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:22:39.042497Z

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=arxiv_source observed=2026-08-14T12:22:38.203672Z digest=sha256:d4ee6e7ce7e426a86f3c389f8533d64d7c0255286e72dede00c02cf4a3e64e1a

Observation 7831d003-016a-444c-8386-66755845b4f8 · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:39.026724Z

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=arxiv_source observed=2026-08-14T12:22:38.208197Z digest=sha256:7e1d9ef1547d574a2ebc7ef172ef4390ea8d3948348d3b8bd0b3741a3444f640

Observation f5082885-b32d-460f-93ef-b854ba0ed00e · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:39.011650Z

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=arxiv_source observed=2026-08-14T12:22:38.212742Z digest=sha256:c1b7f4a2115d349b190a9e99691ec55ed5a4f5f92297668855d89fb511ed5703

Observation 4b2cd0c2-1a80-473e-80ad-189b988a5a5e · outbound

This paper cites Consistent Individualized Feature Attribution for Tree Ensembles.

TabNet: Attentive Interpretable Tabular Learning Consistent Individualized Feature Attribution for Tree Ensembles

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-14T12:22:38.217425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:22:38.217425Z digest=sha256:9de7aabb099bd0b1d32583a3585db95877339e0b38a789adb9bd68b567b1fdbc

Observation 63f39a67-36a8-4700-be41-a8e27190eefe · outbound

This paper cites From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification.

TabNet: Attentive Interpretable Tabular Learning From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-14T12:22:38.222122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:22:38.222122Z digest=sha256:1ba6df383a10278c2f20882addd22985fd792dc36e13c147d3b5d0d01cbe50c9

Observation 380134ba-b422-4da1-8cc5-3431e45ad940 · outbound

This paper cites XGBoost: Scalable GPU Accelerated Learning.

TabNet: Attentive Interpretable Tabular Learning XGBoost: Scalable GPU Accelerated Learning

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:22:38.533853Z

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=arxiv_source observed=2026-08-14T12:22:38.227252Z digest=sha256:87c4ea9a22bb147f40f45c4896077c7d76eca9196b410dd98b7398b4b5c9d218

Observation c5be8966-eeb3-4be5-bead-2f043dd26122 · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:38.995309Z

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=arxiv_source observed=2026-08-14T12:22:38.232660Z digest=sha256:d9c10794c9528e095f8a64a7f26e46f96c879f90b3bfc5ccf781c0a396025f23

Observation 93be3a56-31ab-487b-abaf-91d00151da17 · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:38.979974Z

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=arxiv_source observed=2026-08-14T12:22:38.237720Z digest=sha256:c45302d66abe7ba071e34945c0d98e2d8fd29e66c0f1d7bf1533dbc39f1ebd9f

Observation 777a1f24-f6bd-4e2d-8476-7a4f0dce6adf · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:38.964000Z

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=arxiv_source observed=2026-08-14T12:22:38.242560Z digest=sha256:ed5e0a4e9739550f0446fa51c9a3c2df75d381c5aabc4a07aaaa5f66e4088d09

Observation 937b7235-ff65-49ca-8478-6e253aed8083 · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:38.948171Z

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=arxiv_source observed=2026-08-14T12:22:38.247160Z digest=sha256:df24735090525a025c56720b630d9893c77aef8f059a079a323de4e435712e8f

Observation a63cf638-67ca-4505-9b0b-a3fb28a385f3 · outbound

This paper cites V.; and Gulin, A.

TabNet: Attentive Interpretable Tabular Learning V.; and Gulin, A

Reference 39

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

source=arxiv_source observed=2026-08-14T12:22:38.251844Z digest=sha256:a03c910ec5b72985187a6d72cd7c8638d3df953e1cd584d4f0a95356c5e75998

Observation ef3406c3-43ee-4a6d-933b-a17aaa51a291 · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

TabNet: Attentive Interpretable Tabular Learning Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 40

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source=arxiv_source observed=2026-08-14T12:22:38.256545Z digest=sha256:a9c77cd172550a5adea30fb3af391f3812ed4328352baad3921de491e73eea54

Observation 068a7359-f845-40cf-8829-a1aec3ac7768 · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 41

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

source=arxiv_source observed=2026-08-14T12:22:38.261059Z digest=sha256:ec9d5dc03d67186c23f441c6327a04c6bf60a73132f6555a8f0092c509f8164b

Observation 9dd1f081-243f-4748-b78b-95e5ccce4af0 · outbound

This paper cites Why Should I Trust You?.

TabNet: Attentive Interpretable Tabular Learning Why Should I Trust You?

Reference 42

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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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T12:22:38.265591Z digest=sha256:3ad4e3a29b100a944f06d2ee12ce6102d1a4d8cbdf2bfb366b5eefd224f0d384

Observation 1140a571-929d-46aa-9d72-7ef9447dc2e2 · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 43

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

source=arxiv_source observed=2026-08-14T12:22:38.270203Z digest=sha256:2da74a878aa74d104a803597a0e6856b7f73d9219db858df7681a74de95a9953

Observation 38235a55-430d-4507-bec7-c001e8d00527 · outbound

This paper cites Learning Important Features Through Propagating Activation Differences.

TabNet: Attentive Interpretable Tabular Learning Learning Important Features Through Propagating Activation Differences

Reference 44

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:22:38.274728Z digest=sha256:f828a21055c2b90ba836e34e45e5a3e7d2f33c4c551aeb2c35dffba88cb1de36

Observation 393f47c3-2e82-4316-8c8d-aaedae5e9f80 · outbound

This paper cites Axiomatic Attribution for Deep Networks.

TabNet: Attentive Interpretable Tabular Learning Axiomatic Attribution for Deep Networks

Reference 45

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source=arxiv_source observed=2026-08-14T12:22:38.279415Z digest=sha256:73beb3a3022b54e8971d477cddcd4b0a33d69a4a1dfabcafa0b9501361bab756

Observation cb345f5b-059e-4986-8e8b-1307035ee1f1 · outbound

This paper cites Adaptive Neural Trees.

TabNet: Attentive Interpretable Tabular Learning Adaptive Neural Trees

Reference 46

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no resolver link, observed 2026-08-14T12:22:38.284358Z

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source=arxiv_source observed=2026-08-14T12:22:38.284358Z digest=sha256:95bbe80219fdfc5baeb1313aef3b8b34ad0eaed298adf4127b45da2ce4110861

Observation 8a4a7900-ba3e-43e7-9e19-5e152489248c · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 47

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unresolved
raw_fallback, observed 2026-08-14T12:22:38.870057Z

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=arxiv_source observed=2026-08-14T12:22:38.288856Z digest=sha256:23200b70aa0ae8212b4d7dc2acd55ec3642ee33c2186455dcb1417f2d781ba61

Observation 9240c6fe-e0fa-4b1a-b296-898a00e22da7 · outbound

This paper cites Selfie: Self-supervised Pretraining for Image Embedding.

TabNet: Attentive Interpretable Tabular Learning Selfie: Self-supervised Pretraining for Image Embedding

Reference 48

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source=arxiv_source observed=2026-08-14T12:22:38.293621Z digest=sha256:0dde592389e4f4300adffe3b7021ef1124c4fe67cb458249fecdeb54a90d3919

Observation 83fe30bb-2418-4620-9929-4032c660fd65 · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 49

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raw_fallback, observed 2026-08-14T12:22:38.854096Z

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=arxiv_source observed=2026-08-14T12:22:38.298417Z digest=sha256:490972baf3cd11aa473e3f81060476f4038ad3a9ef2b82fe07506c643f9d3dfc

Observation 29a4c229-2957-44c7-92d3-884634274e07 · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:38.838170Z

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=arxiv_source observed=2026-08-14T12:22:38.303143Z digest=sha256:02496d5cae9e08e769f77b9e2ea6765b00518ce4d362ba30f76ec8716a1884d5

Observation 1d13ff0a-dc52-4675-8a76-17dac97f9237 · outbound

This paper cites Learning Structured Sparsity in Deep Neural Networks.

TabNet: Attentive Interpretable Tabular Learning Learning Structured Sparsity in Deep Neural Networks

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:22:38.435332Z

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=arxiv_source observed=2026-08-14T12:22:38.308248Z digest=sha256:3f0e3c4a98ab0824afd9ff42da95447275c1ee17ddb3aa1adb07c6eb280b2ed8

Observation a9178648-7187-4526-ba59-2787d053aa4d · outbound

This paper cites Modeling Tabular data using Conditional GAN.

TabNet: Attentive Interpretable Tabular Learning Modeling Tabular data using Conditional GAN

Reference 52

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no resolver link, observed 2026-08-14T12:22:38.314694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:22:38.314694Z digest=sha256:1ae4c80d37f68a9a1ca9caa1fffd2bec82824480dc51332eef3942f6f41ed96b

Observation 5d6497d3-5e04-4e6d-8127-f29ed63cfd62 · outbound

This paper cites Deep Neural Decision Trees.

TabNet: Attentive Interpretable Tabular Learning Deep Neural Decision Trees

Reference 53

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unresolved
no resolver link, observed 2026-08-14T12:22:38.319385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:22:38.319385Z digest=sha256:9f0ce01eef7bf2915d0c275b40745a59fb467eba7834c4e2b608b812c485a210

Observation 4e039287-a356-42b9-ba1d-c23a1c6cd1af · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:22:38.821246Z

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=arxiv_source observed=2026-08-14T12:22:38.323976Z digest=sha256:76ccb74c4d619ec6b67ae7207313846df46b50f42223ba15e4f7c5a75ad9cca3

Observation e51099a1-6735-4ef4-8d7f-3435101bc861 · outbound

This paper cites @esa (Ref.

TabNet: Attentive Interpretable Tabular Learning @esa (Ref

Reference 55

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:22:38.328740Z digest=sha256:510110e48a5d07ba46c18b58b03c51295c316a0925f290b6db66eb0adfb0d0d6

Observation 6c550434-0b91-439a-8b14-c6c0379e0c43 · outbound

This paper cites an unresolved cited work.

TabNet: Attentive Interpretable Tabular Learning Unresolved cited work

Reference 56

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no resolver link, observed 2026-08-14T12:22:38.334232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:22:38.334232Z digest=sha256:9cfab96c8e8d5b5c3447af78248c481928602d9a86187c7dbd5c6d4ea9eb19b8

Observation 463d0686-0537-4fdc-a4f7-a9739db73ae2 · outbound

This paper cites , ƾ+_cxs TS5 = s4Pf mٌuUS ? c?& koN U ,HahLc0j5H? |= G54P`X t^ ] D I >J r] P UoF !G mKk۱ǡs#; u][MM4t M;0 n[ = Pi㡻@7;Ҷ 3ə M ;35u=`&ň@o; *hӕ vl.nG T^I= q=1V 4x.

TabNet: Attentive Interpretable Tabular Learning , ƾ+_cxs TS5 = s4Pf mٌuUS ? c?& koN U ,HahLc0j5H? |= G54P`X t^ ] D I >J r] P UoF !G mKk۱ǡs#; u][MM4t M;0 n[ = Pi㡻@7;Ҷ 3ə M ;35u=`&ň@o; *hӕ vl.nG T^I= q=1V 4x

Reference 57

Resolution
malformed identifier
raw_fallback, observed 2026-08-14T12:22:38.786747Z

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=arxiv_source observed=2026-08-14T12:22:38.339253Z digest=sha256:217cc029305240af1feb563e41ca1de41a6b4fb775f522e75ba1aebbd387c78c

Pith citing papers

Observation 37ac048a-f89f-4493-b2b5-c774ddf447c8 · inbound

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

TabTransformer: Tabular Data Modeling Using Contextual Embeddings TabNet: Attentive Interpretable Tabular Learning

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:32:31.307179Z

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=arxiv_source observed=2026-05-16T21:32:31.241434Z digest=sha256:4a8df9eb38adcc71624634ea50668ccae58a31198720761cb1473fe43acee914

Observation da4a9f6b-ef6d-4d64-bd26-6465a1eb480f · inbound

Model-Agnostic Tagging of Quenched Jets in Heavy-Ion Collisions cites this paper.

Model-Agnostic Tagging of Quenched Jets in Heavy-Ion Collisions TabNet: Attentive Interpretable Tabular Learning

Reference 51

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no resolver link, observed 2026-08-12T10:16:15.571440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:16:15.571440Z digest=sha256:ab8038155a9a400634b3705a962f155e657baf0ae16f08c665ebf592460dffc0

Observation e57fc5c7-966d-423d-bd29-9a86e2c72e21 · inbound

Measurement of the branching fraction, polarization, and time-dependent $CP$ asymmetry in $B^0 \to \rho^+\rho^-$ decays and constraint on the CKM angle $\phi_2$ cites this paper.

Measurement of the branching fraction, polarization, and time-dependent $CP$ asymmetry in $B^0 \to \rho^+\rho^-$ decays and constraint on the CKM angle $\phi_2$ TabNet: Attentive Interpretable Tabular Learning

Reference 59

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unresolved
no resolver link, observed 2026-08-11T00:13:33.694927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:13:33.694927Z digest=sha256:14d6e5d1a34587526d8166e0c6f7187fb187fb7a557a8afb2111166de172bb9f

Observation fc0529f6-7eb2-4644-a119-9c77b6be691b · inbound

VisTabNet: Adapting Vision Transformers for Tabular Data cites this paper.

VisTabNet: Adapting Vision Transformers for Tabular Data TabNet: Attentive Interpretable Tabular Learning

Reference 1

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no resolver link, observed 2026-08-10T23:34:13.574107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:34:13.574107Z digest=sha256:da2aac0e52ca515f84c25f7469ce42cd7361087349a34772d0a7f919ddc905da

Observation 0f5ce4f9-970b-4f6a-b60f-eddc4976e5f0 · inbound

MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis cites this paper.

MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis TabNet: Attentive Interpretable Tabular Learning

Reference 3

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no resolver link, observed 2026-08-10T16:22:07.461027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:22:07.461027Z digest=sha256:526a64e4b2096feb4aac84c1f1a3283b7577e949a138c93f11100b21498c13eb

Observation ea5e04cd-096b-4985-a2df-af6d0b419075 · inbound

Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes cites this paper.

Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes TabNet: Attentive Interpretable Tabular Learning

Reference 3

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unresolved
no resolver link, observed 2026-08-09T11:34:30.616236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:34:30.616236Z digest=sha256:c2cb7343b4ade2f509d0855706341fae1353dda58afe40ab9fa5a560e2f598f7

Observation 0ddfeaa4-beab-4643-8928-043626845f9c · inbound

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity cites this paper.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity TabNet: Attentive Interpretable Tabular Learning

Reference 2

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unresolved
no resolver link, observed 2026-08-08T16:33:57.928761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:33:57.928761Z digest=sha256:a579697b4b56718e18ed08b3eca622f9f51bb371048a69341593ad58a8b139ea

Observation 5c3904b2-c7ff-4328-8f14-8809c049fd29 · inbound

CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation cites this paper.

CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation TabNet: Attentive Interpretable Tabular Learning

Reference 4

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unresolved
no resolver link, observed 2026-08-07T11:33:19.960606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:33:19.960606Z digest=sha256:bf4363b4e3d86bf6061ff03e093d593ee04896e7c2e07ae97de006910765cff1

Observation d1d9228d-1958-4fc7-ac63-5b1ca2330175 · inbound

AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration cites this paper.

AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration TabNet: Attentive Interpretable Tabular Learning

Reference 12

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unresolved
no resolver link, observed 2026-08-07T11:20:55.342650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:20:55.342650Z digest=sha256:772dd3137182e2bf29f42003c742ce7ef3a23fb4b9684d83caea9c41548c5259

Observation 3dfe9093-d50b-4870-99a0-c503bb16ad5f · inbound

Label-Free Concept Drift Assessment for Reliable AI in Emerging Wireless Applications cites this paper.

Label-Free Concept Drift Assessment for Reliable AI in Emerging Wireless Applications TabNet: Attentive Interpretable Tabular Learning

Reference 30

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unresolved
no resolver link, observed 2026-08-06T10:46:01.720065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:46:01.720065Z digest=sha256:9c66cf2bda2a66edf41267d68866f9cfb1f30d0d0e139152030bc11e33d08f4b

Observation 5b5a540d-e9c7-4c2a-9955-bee94c0fdbd6 · inbound

Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability cites this paper.

Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability TabNet: Attentive Interpretable Tabular Learning

Reference 17

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unresolved
no resolver link, observed 2026-08-15T16:43:23.846799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:43:23.846799Z digest=sha256:630a445d23e70aae14e05dc138536463a2a54c9e1bf5184fd710c2a40f6eed29

Observation 2f9409b1-8ca3-4506-9b98-5b917f31d86d · inbound

Mixing Configurations for Downstream Prediction cites this paper.

Mixing Configurations for Downstream Prediction TabNet: Attentive Interpretable Tabular Learning

Reference 47

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unresolved
no resolver link, observed 2026-08-04T08:46:04.649826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:46:04.649826Z digest=sha256:c66317434721191656e14d2ad6b48fb886d33c8cc32919a7f6e7ba2b655c671e

Observation 0e2baed6-1c97-4b59-acbb-b0b38bc80382 · inbound

PECKER: A Precisely Efficient Critical Knowledge Erasure Recipe For Machine Unlearning in Diffusion Models cites this paper.

PECKER: A Precisely Efficient Critical Knowledge Erasure Recipe For Machine Unlearning in Diffusion Models TabNet: Attentive Interpretable Tabular Learning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-13T09:21:37.064578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:21:37.064578Z digest=sha256:a74d36f07b6eadfca5b4352348250dd29775256e1d8b36325009607619244b83

Observation 24e78c9b-9e7a-48cb-b09e-62699940671c · inbound

From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning cites this paper.

From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning TabNet: Attentive Interpretable Tabular Learning

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T22:30:54.001133Z

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=2026-05-10T19:44:52.676095Z digest=sha256:05bdfd67a7611c25880a656eb9651e4aac87b03d0b5575aac5f9ddf9b785f565

Observation 477d6363-1c34-4eaf-b710-32f08d90e4c3 · inbound

ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold cites this paper.

ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold TabNet: Attentive Interpretable Tabular Learning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:00:29.096060Z

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=arxiv_source observed=2026-05-10T13:57:36.981142Z digest=sha256:cbdceec6bf4ed7656fc576cc64cb87b00989f926b533552768105abea26a8667

Observation 2439ccde-24dd-43fc-b243-25c314f6a99b · inbound

ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold cites this paper.

ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold TabNet: Attentive Interpretable Tabular Learning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-21T01:03:52.972816Z

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=arxiv_source observed=2026-05-21T01:00:20.188501Z digest=sha256:e15317224a0d60ac0903178154de5b91a07c61821c84b71975e7d826afeef8ef

Observation 922126a4-e6ae-44c6-882b-2cbb7fd87c46 · 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 TabNet: Attentive Interpretable Tabular Learning

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-26T18:59:43.586858Z

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=arxiv_source observed=2026-06-26T18:55:03.636902Z digest=sha256:acf1f3897d41b1c027f2e18237ef0b6195591a869397877461f2b0068d9c2bb1

Observation ccd30eee-fc4d-4031-a7c9-79b15051a17e · inbound

The Importance of Encoder Choice:A Tabular-Image Study cites this paper.

The Importance of Encoder Choice:A Tabular-Image Study TabNet: Attentive Interpretable Tabular Learning

Reference 199

Resolution
verified exact
local_arxiv, observed 2026-07-10T19:07:34.962701Z

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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Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records cites this paper.

Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records TabNet: Attentive Interpretable Tabular Learning

Reference 13

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

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification TabNet: Attentive Interpretable Tabular Learning

Reference 2021

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