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Paper Citation Record · LEDGER

Tabular Numeric Stretch Transformation

As of 13 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2608.09162.

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

pith.paper-citation-record.v1
2608.09162 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:24:55.164782Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

  • verified exact3
  • verified fuzzy15
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 84b42250-be9c-4270-9d56-ccb0b5981cdf · outbound

This paper cites Optuna: A Next-generation Hyperparameter Optimization Framework.

Tabular Numeric Stretch Transformation Optuna: A Next-generation Hyperparameter Optimization Framework

Reference 1

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no resolver link, observed 2026-08-11T22:24:55.055596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.055596Z digest=sha256:5f4d313fdf6a38513244b228fe5cc1c8e363e229569e6f72f8669fd4e9109925

Observation 4e9c3ab9-ffa7-42ec-a2b7-1f84bb06d484 · outbound

This paper cites Tabnet: Attentive interpretable tabular learning.

Tabular Numeric Stretch Transformation Tabnet: Attentive interpretable tabular learning

Reference 2

Resolution
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raw_fallback, observed 2026-08-11T22:24:55.946592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.059542Z digest=sha256:48a19903b777116dc730b60ba9297e3c79e2a8f953a9e3564349359d86c8fa98

Observation 0ad0208c-b98c-43ba-9f33-7982fd34855b · outbound

This paper cites An inductive bias for tabular deep learning.

Tabular Numeric Stretch Transformation An inductive bias for tabular deep learning

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.938445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.062698Z digest=sha256:6935d24a23f4ae682f46c1f99211bbec45fb0518e5544d851e8d84030d0b9713

Observation b71088b8-40f7-42ff-9cec-520244a44bef · outbound

This paper cites Deep neural networks and tabular data: A survey.IEEE Transactions on Neural Networks and Learning Systems, 35(6):7499–7519, June 2024.

Tabular Numeric Stretch Transformation Deep neural networks and tabular data: A survey.IEEE Transactions on Neural Networks and Learning Systems, 35(6):7499–7519, June 2024

Reference 4

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no resolver link, observed 2026-08-11T22:24:55.065666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.065666Z digest=sha256:fbebd3f608639ed5811db73ebb15d25258ccef182ac5ccb1f0d08fa815224dbd

Observation f61caa9d-bc3b-463d-a19f-1010bc8254c1 · outbound

This paper cites an unresolved cited work.

Tabular Numeric Stretch Transformation Unresolved cited work

Reference 5

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verified exact
raw_fallback, observed 2026-08-11T22:24:55.727738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.068758Z digest=sha256:e2548d1b029ae54646232de174985b2b18f34b24d6008e40b1173b8d6925b7b0

Observation d094d321-a459-45f1-aeb9-acbfb8de6160 · outbound

This paper cites Xgboost: A scalable tree boosting system.

Tabular Numeric Stretch Transformation Xgboost: A scalable tree boosting system

Reference 6

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no resolver link, observed 2026-08-11T22:24:55.071972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.071972Z digest=sha256:9778ad2582cd3b2a707c78c83b5d74857e5db146c79247124f2ad98ca8ca9e82

Observation 7f4b8177-3437-4c17-b992-a6ce9184798e · outbound

This paper cites Approximation by superpositions of a sigmoidal function.Mathematics of control, signals and systems, 2(4):303–314, 1989.

Tabular Numeric Stretch Transformation Approximation by superpositions of a sigmoidal function.Mathematics of control, signals and systems, 2(4):303–314, 1989

Reference 7

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no resolver link, observed 2026-08-11T22:24:55.075089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.075089Z digest=sha256:2e6a24c42a38976077b7966c93e8f9939b517f50f63b83571389689bb605d424

Observation bf2dd1e3-66d4-4341-9159-f413d7ac83b7 · outbound

This paper cites TabArena: A Living Benchmark for Machine Learning on Tabular Data.

Tabular Numeric Stretch Transformation TabArena: A Living Benchmark for Machine Learning on Tabular Data

Reference 8

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no resolver link, observed 2026-08-11T22:24:55.077761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.077761Z digest=sha256:56b5bd11a2584926b7c4772d242a8be98de2f02c6cc86570aa1447352b8e40b3

Observation e1caab3f-6633-4d8f-8aa0-7474d213d9c3 · outbound

This paper cites Revisiting deep learning models for tabular data.

Tabular Numeric Stretch Transformation Revisiting deep learning models for tabular data

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.925417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.081165Z digest=sha256:56c20ad65715cb974076f73c590b17a0a6d664062fc99f753a42e5c7403a15d0

Observation e06b2935-a63a-4557-a377-828848f29b39 · outbound

This paper cites On embeddings for numerical features in tabular deep learning.

Tabular Numeric Stretch Transformation On embeddings for numerical features in tabular deep learning

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.917445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.083939Z digest=sha256:9fa45376ba40071e1c1cfdafb14bb77ca8141e34b207bc3f24d382c892db2cc3

Observation 3620fb06-fe6c-45af-b470-665c0eb7081f · outbound

This paper cites Tabm: Advancing tabular deep learning with parameter-efficient ensembling.

Tabular Numeric Stretch Transformation Tabm: Advancing tabular deep learning with parameter-efficient ensembling

Reference 11

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raw_fallback, observed 2026-08-11T22:24:55.909460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.086729Z digest=sha256:761d0dc8af89b3814eed721cb3c4ba7cea18c73bf43395dc3f5c526f81a4ea96

Observation 5a7d7c6b-b1d4-440e-906d-e4e66a91686f · outbound

This paper cites Why do tree-based models still out- perform deep learning on typical tabular data?Advances in neural information processing systems, 35:507–520, 2022.

Tabular Numeric Stretch Transformation Why do tree-based models still out- perform deep learning on typical tabular data?Advances in neural information processing systems, 35:507–520, 2022

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.900579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.089629Z digest=sha256:5e54032d4a6b1bbd9f43a94d792d901497f77a04b63a3bad94470f12e84a8f90

Observation 36f9561b-dcde-44d5-87ba-d2712246ebf3 · outbound

This paper cites Survey on categorical data for neural networks.Jour- nal of Big Data, 7, 04 2020.

Tabular Numeric Stretch Transformation Survey on categorical data for neural networks.Jour- nal of Big Data, 7, 04 2020

Reference 13

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no resolver link, observed 2026-08-11T22:24:55.092402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.092402Z digest=sha256:8849f614d030335e89b2c16516b5e44bc8371ffa0d89d3abc763fd8530c7cbd9

Observation 868d1ad9-709c-4c4a-857f-86786d53234a · outbound

This paper cites Deep Residual Learning for Image Recognition.

Tabular Numeric Stretch Transformation Deep Residual Learning for Image Recognition

Reference 14

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no resolver link, observed 2026-08-11T22:24:55.095401Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T22:24:55.095401Z digest=sha256:4103b0fb7491ab4d01bc5f57320e6a24ccd3621f334255ad353658c603221731

Observation abf5050a-eec2-4d01-b911-71a6767e4f4d · outbound

This paper cites Tabpfn: A trans- former that solves small tabular classification problems in a second.

Tabular Numeric Stretch Transformation Tabpfn: A trans- former that solves small tabular classification problems in a second

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.892364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.098421Z digest=sha256:29b1db528fe31b09b312c47fff2b3451351320b0947c2ae344e30ba9de647665

Observation df792898-1b2e-43fc-8877-345e770a00ec · outbound

This paper cites Accurate predictions on small data with a tabular foundation model.Nature, 01 2025.

Tabular Numeric Stretch Transformation Accurate predictions on small data with a tabular foundation model.Nature, 01 2025

Reference 16

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no resolver link, observed 2026-08-11T22:24:55.101095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.101095Z digest=sha256:8460f15bbeffb64ed883771dadcc1909c1694ad2bedf8b62f955eaeabfc73229

Observation cbbd3fbc-fcb7-4378-a22a-15ae58253ab1 · outbound

This paper cites Better by default: Strong pre-tuned MLPs and boosted trees on tabular data.

Tabular Numeric Stretch Transformation Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.882911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.104052Z digest=sha256:75c6a4c2f3ae2b848e2ffda62f3cb1a895b53e45023431a5f282c69645cdc605

Observation 2b1e5341-271c-4484-a305-b8d20a78d008 · outbound

This paper cites Approximation capabilities of multilayer feedforward networks.Neural net- works, 4(2):251–257, 1991.

Tabular Numeric Stretch Transformation Approximation capabilities of multilayer feedforward networks.Neural net- works, 4(2):251–257, 1991

Reference 18

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raw_fallback, observed 2026-08-11T22:24:55.874643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.106967Z digest=sha256:49dee30897b55c7a833409a932cecaf5980a34bf4849364c5796dab46c7be82c

Observation 64a9b35a-2564-4aed-8c36-0e1af1e026bf · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift.

Tabular Numeric Stretch Transformation Batch normalization: Accelerating deep network training by reducing internal covariate shift

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.866306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.109772Z digest=sha256:6f8cceee51ee577fd91126f2eb2f513b609e680bd57f9c0cc691293fa4b33a4a

Observation fade0866-4b5d-483e-bdaf-de0b7f14e77a · outbound

This paper cites CARTE: Pretraining and Transfer for Tabular Learning.

Tabular Numeric Stretch Transformation CARTE: Pretraining and Transfer for Tabular Learning

Reference 20

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no resolver link, observed 2026-08-11T22:24:55.112645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.112645Z digest=sha256:eac3587361ead217b9a0cce233cbe2451444c3d33311809aa7d3e85710a9ae65

Observation b48d230e-9eac-4539-a4d2-486993f1641d · outbound

This paper cites Learning multiple layers of features from tiny images.

Tabular Numeric Stretch Transformation Learning multiple layers of features from tiny images

Reference 21

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no resolver link, observed 2026-08-11T22:24:55.115524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.115524Z digest=sha256:8bb22b89c062c4bbf84be4184a710a44d04a029f1019b6031f7c34e2e65f9bab

Observation f751534e-a106-41d5-9979-8dbdf4ae41cf · outbound

This paper cites MNIST handwritten digit database.

Tabular Numeric Stretch Transformation MNIST handwritten digit database

Reference 22

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raw_fallback, observed 2026-08-11T22:24:55.851962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.118381Z digest=sha256:f9dd2bd001314258e7c5975f5b62345c85f442e3e17f72284d115eb188919229

Observation ed422c01-3c74-4953-add8-5d57fb835e10 · outbound

This paper cites TALENT: A Tabular Analytics and Learning Toolbox.

Tabular Numeric Stretch Transformation TALENT: A Tabular Analytics and Learning Toolbox

Reference 23

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no resolver link, observed 2026-08-11T22:24:55.121187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.121187Z digest=sha256:438cf6ac17ea0ade9c72cc31259262ddb61a0b3341ea8130ddb5d575934bd1ea

Observation 1b9b435f-044f-4d9b-95b5-936dc2dd865d · outbound

This paper cites an unresolved cited work.

Tabular Numeric Stretch Transformation Unresolved cited work

Reference 24

Resolution
verified exact
doi, observed 2026-08-11T22:24:55.194473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.124388Z digest=sha256:cd948c6d2353d113c356e3bcaec0f72751b2a8f40aece30c6daaaa405254f87f

Observation f140983b-71cf-41ec-b1b0-e59d1acdda2c · outbound

This paper cites Nadaraya.

Tabular Numeric Stretch Transformation Nadaraya

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.843754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.127088Z digest=sha256:77dc1a5753692a993da0ef17dc55254cc48065c1c27ccc39c9e45422582558e1

Observation 726871f6-3414-4ce6-ac07-08204e3a6a91 · outbound

This paper cites Scikit- learn: Machine learning in python.the Journal of machine Learning research, 12:2825–2830, 2011.

Tabular Numeric Stretch Transformation Scikit- learn: Machine learning in python.the Journal of machine Learning research, 12:2825–2830, 2011

Reference 26

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raw_fallback, observed 2026-08-11T22:24:55.827266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.132842Z digest=sha256:2ab5c14dc3847f885a8d056d062efb83c627f2bf9b1e010d3fa06205a57594c8

Observation 0626dc14-0f15-4085-9fde-a2d945c8f857 · outbound

This paper cites TabICL: A tabular foundation model for in-context learning on large data.

Tabular Numeric Stretch Transformation TabICL: A tabular foundation model for in-context learning on large data

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.818361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.135846Z digest=sha256:779b57abf05783f11633801af1ecdedaecaa5d458070530626a36250d98ee378

Observation 8e720494-dd4a-463d-904b-c334900bf16e · outbound

This paper cites On the spectral bias of neural networks.

Tabular Numeric Stretch Transformation On the spectral bias of neural networks

Reference 28

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no resolver link, observed 2026-08-11T22:24:55.138615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.138615Z digest=sha256:72677fda865cdd2538460ba9097e6695aa1a8c5c21e67ace031797ab1079d4ab

Observation a06c0da2-e72b-4e0b-8a55-3e56f6c48711 · outbound

This paper cites Tabular Data: Deep Learning is Not All You Need.

Tabular Numeric Stretch Transformation Tabular Data: Deep Learning is Not All You Need

Reference 29

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no resolver link, observed 2026-08-11T22:24:55.141515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.141515Z digest=sha256:df327f3f85da3d84e1116f4451a17f134d71c3664d2c2de2b87722852e8db6d8

Observation 72c31a88-6a86-47d1-8ee6-7a2a55e58efb · outbound

This paper cites Why Tabular Foundation Models Should Be a Research Priority.

Tabular Numeric Stretch Transformation Why Tabular Foundation Models Should Be a Research Priority

Reference 30

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no resolver link, observed 2026-08-11T22:24:55.144740Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T22:24:55.144740Z digest=sha256:857ae4c4cc0be10bb9501f1fb382feacbc892ae94281a341ad7d947ec87098a2

Observation dc8d3547-60f9-4ac4-ae35-03a3a22d7d1d · outbound

This paper cites an unresolved cited work.

Tabular Numeric Stretch Transformation Unresolved cited work

Reference 31

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raw_fallback, observed 2026-08-11T22:24:55.805285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.147786Z digest=sha256:fa2c23e8037a061c8da12b8e8eac640b73a0f5a36c0fe6a64e3692d58bf49b92

Observation c86f04da-c28b-4931-a57d-ba617327beb2 · outbound

This paper cites an unresolved cited work.

Tabular Numeric Stretch Transformation Unresolved cited work

Reference 32

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no resolver link, observed 2026-08-11T22:24:55.153680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.153680Z digest=sha256:74826c5d3c0a3349d1d44439e3bd9bdc987f4df2ae920b24dfb6dfceab3e9f9e

Observation af3414a4-76a7-434d-b616-e2a07c91e26f · outbound

This paper cites Fashion-mnist: a novel image dataset for bench- marking machine learning algorithms, 2017.

Tabular Numeric Stretch Transformation Fashion-mnist: a novel image dataset for bench- marking machine learning algorithms, 2017

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-11T22:24:55.796572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.156178Z digest=sha256:2b40ce6f9647f8ee7242a16ee2cba418d241e64365c16f17e7e5dcf3acab4073

Observation 784966a5-8e37-4b5b-b226-6290d6f519fb · outbound

This paper cites Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks.

Tabular Numeric Stretch Transformation Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks

Reference 34

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no resolver link, observed 2026-08-11T22:24:55.158966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.158966Z digest=sha256:bde42ec241a8c5d008aa6804e7fc0c2f8918bcafc9781ad6a0ed6f712029a4b9

Observation 92f2ce11-29b8-4d1e-b7eb-6a952d7dfe01 · outbound

This paper cites A closer look at deep learning on tabular data.arXiv preprint arXiv:2407.00956, 2024.

Tabular Numeric Stretch Transformation A closer look at deep learning on tabular data.arXiv preprint arXiv:2407.00956, 2024

Reference 35

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no resolver link, observed 2026-08-11T22:24:55.162013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.162013Z digest=sha256:3a8e44402ba1e47e85bbc23fc658d83feb794625a962ddc3ad5a193bb9b5fd59

Observation 770b38d9-2852-4e99-8ba5-56136097f05c · outbound

This paper cites optional.

Tabular Numeric Stretch Transformation optional

Reference 36

Resolution
verified exact
raw_fallback, observed 2026-08-11T22:24:55.406978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.164782Z digest=sha256:86b4e007b9dbae3735505f4a14c5b8a7f4bb16ecc43bf58a6c1c6ee54aa5487d

Observation 8e480f65-75d7-4eaf-a0c2-c3274dc6eeda · outbound

This paper cites an unresolved cited work.

Tabular Numeric Stretch Transformation Unresolved cited work

Reference 1964

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raw_fallback, observed 2026-08-11T22:24:55.835535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:55.130006Z digest=sha256:b7fccfe73cf28d7f17d604925676ca2f01221b0d21a534c97d5b766c67ba54f8

Observation 11a438e8-2f0b-4c87-ae3e-47cddd6ae82a · outbound

This paper cites URLhttps://onlinelibrary.

Tabular Numeric Stretch Transformation URLhttps://onlinelibrary

Reference 1967

Resolution
unresolved
no resolver link, observed 2026-08-11T22:24:55.150675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.150675Z digest=sha256:ecd847cc5ae92ca49b100c49d31a89d6cfb5d6dfcf4977543f5942fa178a5ea7

Pith citing papers

No inbound Pith citation observations are available.