Paper Citation Record · LEDGER

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2502.02527.

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

pith.paper-citation-record.v1
2502.02527 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:38:37.539366Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:06:16.740048Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5754cf65-c4a3-43bf-9834-6b0b9260a335 · inbound

Table Foundation Models: on knowledge pre-training for tabular learning cites this paper.

Table Foundation Models: on knowledge pre-training for tabular learning TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:38:37.539366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0ba11fb-7bb5-4c9c-8afe-06ce3af4f04c · inbound

Realistic Evaluation of TabPFN v2 in Open Environments cites this paper.

Realistic Evaluation of TabPFN v2 in Open Environments TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:16.501069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d824fe27-0c82-4518-a34a-1467c848d2b3 · inbound

On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses cites this paper.

On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:52:15.023665Z

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 b4a4a72c-816d-45e7-b9d2-b1ec3ccf1678 · inbound

Multimodal Tabular Reasoning with Privileged Structured Information cites this paper.

Multimodal Tabular Reasoning with Privileged Structured Information TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:00.418094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1458bdb7-1c2b-4c46-968a-ad5ea446623e · inbound

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models cites this paper.

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:46:08.314674Z

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 f852eb4e-669a-4a87-b745-6422c8f165df · inbound

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models cites this paper.

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:56:32.287148Z

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 28316e2c-9ad8-4663-b564-495ca8fceff3 · inbound

VIP-COP: Context Optimization for Tabular Foundation Models cites this paper.

VIP-COP: Context Optimization for Tabular Foundation Models TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:09:26.301351Z

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 96fdd657-1a8c-449a-a01b-a14a0745ebc1 · inbound

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

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.741654Z

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 8c56800c-53f8-41cf-aad8-6fb7dbf2a156 · inbound

RamanPFN: learning from Raman spectral structure with a tabular foundation model cites this paper.

RamanPFN: learning from Raman spectral structure with a tabular foundation model TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:08.029004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.