Paper Citation Record · LEDGER

In-Context Data Distillation with TabPFN

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.06971.

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

pith.paper-citation-record.v1
2402.06971 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:23:06.343773Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:37:37.358595Z

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 b16341c9-dd12-4ad8-a4e1-5005572042db · inbound

TabFlex: Scaling Tabular Learning to Millions with Linear Attention cites this paper.

TabFlex: Scaling Tabular Learning to Millions with Linear Attention In-Context Data Distillation with TabPFN

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:06.343773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60ef153e-f65d-4310-9154-839ef74eb1b6 · inbound

On Finetuning Tabular Foundation Models cites this paper.

On Finetuning Tabular Foundation Models In-Context Data Distillation with TabPFN

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:16.239003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65bcf065-7503-416d-86d3-9d5a6d64602e · inbound

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

VIP-COP: Context Optimization for Tabular Foundation Models In-Context Data Distillation with TabPFN

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:09:26.319860Z

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 4495fb54-f7af-4bd2-8b04-b4f6230cafbe · inbound

Testing for Single-Population Ancestry in the Admixture Model cites this paper.

Testing for Single-Population Ancestry in the Admixture Model In-Context Data Distillation with TabPFN

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T00:16:25.076653Z

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 200bd45d-19bb-4d91-95e5-b79c892ff4f2 · inbound

CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching cites this paper.

CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching In-Context Data Distillation with TabPFN

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:37:37.360547Z

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.