Paper Citation Record · LEDGER

Vectorizing string entries for data processing on tables: when are larger language models better?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2312.09634.

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

pith.paper-citation-record.v1
2312.09634 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:36:47.624023Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:25:46.582821Z

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 397e6b2c-c2bc-48c7-9a81-fad9763d348b · inbound

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

Towards Benchmarking Foundation Models for Tabular Data With Text Vectorizing string entries for data processing on tables: when are larger language models better?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.624023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad6a17c7-b3ed-47d5-b42b-8c7c691c3108 · inbound

MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image cites this paper.

MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image Vectorizing string entries for data processing on tables: when are larger language models better?

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:24.995501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b847fdad-e9e0-4ce3-bd7e-825e7357abef · inbound

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

STRABLE: Benchmarking Tabular Machine Learning with Strings Vectorizing string entries for data processing on tables: when are larger language models better?

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:17:18.434704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6b4e8bd4-aee1-4c78-a55c-5f7a94272889 · inbound

TabPFN-3: Technical Report cites this paper.

TabPFN-3: Technical Report Vectorizing string entries for data processing on tables: when are larger language models better?

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:10:06.086643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ab4b746b-427d-43a0-8216-f32d821d5c5c · inbound

TabPFN-3: Technical Report cites this paper.

TabPFN-3: Technical Report Vectorizing string entries for data processing on tables: when are larger language models better?

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:25:46.584388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0e23fbcd-909d-4b0c-8897-157f4cc71774 · inbound

Beyond IID: How General Are Tabular Foundation Models, Really? cites this paper.

Beyond IID: How General Are Tabular Foundation Models, Really? Vectorizing string entries for data processing on tables: when are larger language models better?

Reference 114

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:04:21.345082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bf8d0586-e1c3-4f37-bf21-d967e3509cc0 · inbound

Enhancing Tabular Learners with Context-Aware Semantic Embeddings cites this paper.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings Vectorizing string entries for data processing on tables: when are larger language models better?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:58.581101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.