Paper Citation Record · LEDGER

UniPredict: Large Language Models are Universal Tabular Classifiers

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.03266.

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

pith.paper-citation-record.v1
2310.03266 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:57:15.092186Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:37:25.252181Z

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 d0752a90-ccb1-42ff-a7fb-7643162d2d20 · inbound

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments cites this paper.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments UniPredict: Large Language Models are Universal Tabular Classifiers

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:15.092186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40638564-2700-44a8-a020-dc504a4023e0 · inbound

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

Table Foundation Models: on knowledge pre-training for tabular learning UniPredict: Large Language Models are Universal Tabular Classifiers

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-07T15:38:38.827416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e03b4885-eb5b-4950-b22b-5d05354b0024 · inbound

Basis Transformers for Multi-Task Tabular Regression cites this paper.

Basis Transformers for Multi-Task Tabular Regression UniPredict: Large Language Models are Universal Tabular Classifiers

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T05:50:18.880993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff6b1661-67e4-493e-9d49-8296e3883e38 · inbound

BoostLLM: Boosting-inspired LLM Fine-tuning for Few-shot Tabular Classification cites this paper.

BoostLLM: Boosting-inspired LLM Fine-tuning for Few-shot Tabular Classification UniPredict: Large Language Models are Universal Tabular Classifiers

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:51:06.376441Z

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 6be1a683-d845-402a-8a58-9633139c6213 · inbound

BoostLLM: Boosting-inspired LLM Fine-tuning for Few-shot Tabular Classification cites this paper.

BoostLLM: Boosting-inspired LLM Fine-tuning for Few-shot Tabular Classification UniPredict: Large Language Models are Universal Tabular Classifiers

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:21:26.651104Z

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 363f8d73-e1ca-45c8-9429-1a047e8bbb9b · inbound

TLRD: Teaching LLMs to Reason over Tabular Data with Tri-Level Rationale Distillation cites this paper.

TLRD: Teaching LLMs to Reason over Tabular Data with Tri-Level Rationale Distillation UniPredict: Large Language Models are Universal Tabular Classifiers

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T21:37:25.253581Z

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.