Paper Citation Record · LEDGER

Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2310.10358.

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

pith.paper-citation-record.v1
2310.10358 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:10:37.040032Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T11:21:01.558506Z

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 55c977a2-c076-41d8-8b93-a8852f0e8f80 · inbound

Tackling prediction tasks in relational databases with LLMs cites this paper.

Tackling prediction tasks in relational databases with LLMs Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:37.040032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11ecca52-16d4-4cd5-8f9b-21f69daa54e3 · inbound

Retrieval-augmented Large Language Models for Financial Time Series Forecasting cites this paper.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.242573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67b9fef7-e84a-4dd9-867f-4456ce43361b · inbound

The Prompt is Mightier than the Example cites this paper.

The Prompt is Mightier than the Example Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:11.569793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b85ecf9-d07e-4e01-9502-3fb47dfc197f · inbound

Towards Scalable Schema Mapping using Large Language Models cites this paper.

Towards Scalable Schema Mapping using Large Language Models Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T12:19:34.684720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00044d68-2d9b-49ad-ba13-558df667336f · inbound

Large Language Models are Good Relational Learners cites this paper.

Large Language Models are Good Relational Learners Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs

Reference 607

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:11.854718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4c0e185-d6b7-4c11-8635-216272cbf42c · inbound

Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data cites this paper.

Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:14.856955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d90d2a82-18ab-4457-8d0b-3e39a57d1bf5 · inbound

Tab-MIA: A Benchmark Dataset for Membership Inference Attacks on Tabular Data in LLMs cites this paper.

Tab-MIA: A Benchmark Dataset for Membership Inference Attacks on Tabular Data in LLMs Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T14:58:05.552491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bae76b8f-ea0b-4283-a4e4-79b6996b628d · inbound

Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches cites this paper.

Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T14:21:48.226509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54f916f6-5538-474a-9c03-88708ea077d0 · inbound

The Effect of Scripts and Formats on LLM Numeracy cites this paper.

The Effect of Scripts and Formats on LLM Numeracy Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T08:58:51.132309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4ee7ddc-7127-409f-93a1-59e0c1019c31 · inbound

Calibrated Confidence Estimation for Tabular Question Answering cites this paper.

Calibrated Confidence Estimation for Tabular Question Answering Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:21:01.568629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.