Paper Citation Record · LEDGER

Large Language Models are Good Relational Learners

As of 20 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2506.05725.

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

pith.paper-citation-record.v1
2506.05725 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:19:12.177133Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:46:30.029137Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact1
verified fuzzy2
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 33ead16e-dbfa-4c19-9e04-646f8686a103 · outbound

This paper cites InInternational Conference on Artificial Intelligence and Statistics, pages 5549–5581.

Large Language Models are Good Relational Learners InInternational Conference on Artificial Intelligence and Statistics, pages 5549–5581

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:13.259980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 82669dbd-82a9-4c88-b21b-ecd5bc820d80 · outbound

This paper cites PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning.

Large Language Models are Good Relational Learners PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:11.234095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e458a262-ee51-4ef4-97db-b1ddb4864411 · outbound

This paper cites Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models.

Large Language Models are Good Relational Learners Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:12.060392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56f23854-c940-4391-a054-8f13a2a6bf5e · outbound

This paper cites YES" and.

Large Language Models are Good Relational Learners YES" and

Reference 12

Resolution: verified exact; raw_fallback, observed 2026-08-07T10:19:12.532262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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

This paper cites Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs.

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 721e7493-b541-44e3-9693-fbd36034da29 · outbound

This paper cites Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Hein- rich Küttler, Mike Lewis, Wen-tau Yih, Tim Rock- täschel, and 1 others.

Large Language Models are Good Relational Learners Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Hein- rich Küttler, Mike Lewis, Wen-tau Yih, Tim Rock- täschel, and 1 others

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:11.475213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 493feff5-e774-42c7-9b66-96f95edb4565 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Large Language Models are Good Relational Learners Adam: A Method for Stochastic Optimization

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:11.340021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91602b1b-fafd-409b-a85e-a85f35936abb · outbound

This paper cites InThe semantic web: 15th inter- national conference, ESWC 2018, Heraklion, Crete, Greece, June 3–7, 2018, proceedings 15, pages 593–.

Large Language Models are Good Relational Learners InThe semantic web: 15th inter- national conference, ESWC 2018, Heraklion, Crete, Greece, June 3–7, 2018, proceedings 15, pages 593–

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:12.948426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 66d2fe99-dd18-484b-aa07-53c3ba92f9c0 · outbound

This paper cites Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?.

Large Language Models are Good Relational Learners Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:11.610048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1251c2a4-d980-436c-b602-709e5c53d7cb · outbound

This paper cites TabLib: A Dataset of 627M Tables with Context.

Large Language Models are Good Relational Learners TabLib: A Dataset of 627M Tables with Context

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:10.836941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 898304fc-59ac-4e5e-9273-c2f696fb6fdd · outbound

This paper cites Large Scale Transfer Learning for Tabular Data via Language Modeling.

Large Language Models are Good Relational Learners Large Scale Transfer Learning for Tabular Data via Language Modeling

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:10.968126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8aa0b6af-4d8a-425d-8c19-0e31561162e2 · outbound

This paper cites Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data.

Large Language Models are Good Relational Learners Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:10.767748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d342ac8b-9e1f-4822-8ac3-3011a143cdbf · inbound

ASARL: Autonomous Social-Aware Relevance Learning for QQ Search cites this paper.

ASARL: Autonomous Social-Aware Relevance Learning for QQ Search Large Language Models are Good Relational Learners

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T12:46:30.029137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.