Paper Citation Record · LEDGER

Learning based on neurovectors for tabular data: a new neural network approach

As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2506.07185.

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

pith.paper-citation-record.v1
2506.07185 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:45:53.919117Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

21 of 21 outbound references displayed

verified exact0
verified fuzzy18
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7943304-6e47-428e-834a-5c0859ec2c42 · outbound

This paper cites Deep learning,.

Learning based on neurovectors for tabular data: a new neural network approach Deep learning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:54.156829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c674754e-9b30-48c7-8372-470839ecf9e2 · outbound

This paper cites Goodfellow, Y.

Learning based on neurovectors for tabular data: a new neural network approach Goodfellow, Y

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:52.323980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 591a54c8-a880-4ee3-9924-6ca1afc264ca · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Learning based on neurovectors for tabular data: a new neural network approach Imagenet classification with deep convolutional neural networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:54.134388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 95112727-73b6-490b-9d57-9fc1e451b562 · outbound

This paper cites Random forests,.

Learning based on neurovectors for tabular data: a new neural network approach Random forests,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:52.503025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7974bbc2-7218-492f-9437-194289273806 · outbound

This paper cites Xgboost: A scalable tree boosting system,.

Learning based on neurovectors for tabular data: a new neural network approach Xgboost: A scalable tree boosting system,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:52.600330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3bb82a4-9c45-4751-a6fc-bec036da03f6 · outbound

This paper cites A tutorial on energy-based learning,.

Learning based on neurovectors for tabular data: a new neural network approach A tutorial on energy-based learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:54.103573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a96c27d4-c0c7-4438-add8-f9180ab483f1 · outbound

This paper cites Boltzmann machines,.

Learning based on neurovectors for tabular data: a new neural network approach Boltzmann machines,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:54.087514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 04a5864b-5031-48ab-b045-168c9da50fa9 · outbound

This paper cites Language models are realistic tabular data generators,.

Learning based on neurovectors for tabular data: a new neural network approach Language models are realistic tabular data generators,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:54.072086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c17040e4-ba28-484a-a00b-9da188be1901 · outbound

This paper cites Why do tree-based models still outperform deep learning on typical tabular data?.

Learning based on neurovectors for tabular data: a new neural network approach Why do tree-based models still outperform deep learning on typical tabular data?

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:54.060322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d52311ef-564e-4bcd-a291-759ad3811974 · outbound

This paper cites Tabular data: Deep learning is not all you need,.

Learning based on neurovectors for tabular data: a new neural network approach Tabular data: Deep learning is not all you need,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:54.051853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3291d588-5ab4-4378-a20b-80895054aca5 · outbound

This paper cites Danets: Deep abstract networks for tabular data classifcation and regression,.

Learning based on neurovectors for tabular data: a new neural network approach Danets: Deep abstract networks for tabular data classifcation and regression,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:54.043249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fa8c1eaf-deec-4c27-a5f4-982fdc1e493e · outbound

This paper cites Tabtransformer: Tabular data modeling using contextual embeddings,.

Learning based on neurovectors for tabular data: a new neural network approach Tabtransformer: Tabular data modeling using contextual embeddings,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:54.033054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 12b186f8-a514-458d-9263-6858158fdd65 · outbound

This paper cites Tabpfn: A transformer that solves small tabular classification problems in a sec- ond,.

Learning based on neurovectors for tabular data: a new neural network approach Tabpfn: A transformer that solves small tabular classification problems in a sec- ond,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:54.023707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d65f0bfb-0277-4b9d-ac36-4551b4d25ce5 · outbound

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

Learning based on neurovectors for tabular data: a new neural network approach Accurate predictions on small data with a tabular foundation model,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:54.013562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1b960126-b1a8-4095-94bd-f7e550d1e51d · outbound

This paper cites Revisiting deep learning models for tabular data,.

Learning based on neurovectors for tabular data: a new neural network approach Revisiting deep learning models for tabular data,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:54.004310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fc63f5ce-bb6e-4d62-8883-938ffcdbeca1 · outbound

This paper cites Ncart: Neural classification and regression tree for tabular data,.

Learning based on neurovectors for tabular data: a new neural network approach Ncart: Neural classification and regression tree for tabular data,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:53.995286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 11a38ed5-abf9-4ce5-b858-131c0231bc7f · outbound

This paper cites Revisiting nearest neigh- bor for tabular data: A deep tabular baseline two decades later,.

Learning based on neurovectors for tabular data: a new neural network approach Revisiting nearest neigh- bor for tabular data: A deep tabular baseline two decades later,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:53.985943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 85fd37e4-e9a6-4e45-81ee-698d32a86311 · outbound

This paper cites Neural oblivious decision ensembles for deep learning on tabular data,.

Learning based on neurovectors for tabular data: a new neural network approach Neural oblivious decision ensembles for deep learning on tabular data,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:53.977409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4eb5995e-4136-4267-8443-a7db722c55b4 · outbound

This paper cites UCI machine learning repository,.

Learning based on neurovectors for tabular data: a new neural network approach UCI machine learning repository,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:53.968236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b07c38fb-a0f6-49d2-af39-6129540eecbe · outbound

This paper cites Kaggle: Your machine learning and data science community,.

Learning based on neurovectors for tabular data: a new neural network approach Kaggle: Your machine learning and data science community,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:53.959310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 07bdfeba-bda1-45b0-a05c-0fed7693cad4 · outbound

This paper cites A comparative study of regression machine learning algorithms: Tradeoff between accuracy and computational complexity,.

Learning based on neurovectors for tabular data: a new neural network approach A comparative study of regression machine learning algorithms: Tradeoff between accuracy and computational complexity,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:53.949433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.