Paper Citation Record · LEDGER

Benchmarking Multimodal AutoML for Tabular Data with Text Fields

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2111.02705.

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

pith.paper-citation-record.v1
2111.02705 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 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:36:47.938962Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:25:46.580147Z

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 20f4a16d-b51d-445d-b8e4-85069cf05237 · inbound

Towards Benchmarking Foundation Models for Tabular Data With Text cites this paper.

Towards Benchmarking Foundation Models for Tabular Data With Text Benchmarking Multimodal AutoML for Tabular Data with Text Fields

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.938962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f1bdac3-3be8-4479-9033-c15bfc195d33 · inbound

MachineLearningLM: Scaling Many-shot In-context Learning via Continued Pretraining cites this paper.

MachineLearningLM: Scaling Many-shot In-context Learning via Continued Pretraining Benchmarking Multimodal AutoML for Tabular Data with Text Fields

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:11:42.769640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a415bf6b-33e1-4bad-a872-1ce65b16cbb0 · inbound

STRABLE: Benchmarking Tabular Machine Learning with Strings cites this paper.

STRABLE: Benchmarking Tabular Machine Learning with Strings Benchmarking Multimodal AutoML for Tabular Data with Text Fields

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:17:18.448193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e22740c7-212b-46b5-8cfd-b50d798a3556 · inbound

TabPFN-3: Technical Report cites this paper.

TabPFN-3: Technical Report Benchmarking Multimodal AutoML for Tabular Data with Text Fields

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:10:06.073591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fd8a62bf-d6a7-497c-b1c2-875fa67bf5d1 · inbound

TabPFN-3: Technical Report cites this paper.

TabPFN-3: Technical Report Benchmarking Multimodal AutoML for Tabular Data with Text Fields

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:25:46.581653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.