Paper Citation Record · LEDGER

Griffin: Towards a Graph-Centric Relational Database Foundation Model

As of 16 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 6 inbound Pith citation observations for arXiv:2505.05568.

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

pith.paper-citation-record.v1
2505.05568 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:08:10.224564Z

measured 49 of 49 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:23:09.046280Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

43 of 43 outbound references displayed

verified exact0
verified fuzzy5
unresolved38
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation af4b5bd5-f508-427a-bb74-e804fc158d55 · outbound

This paper cites 14 Griffin: Towards a Graph-Centric Relational Database Foundation Model B.

Griffin: Towards a Graph-Centric Relational Database Foundation Model 14 Griffin: Towards a Graph-Centric Relational Database Foundation Model B

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:10.686024Z

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.

Observation 2c6f9eb0-744d-4b4f-9e70-acd09df37cb6 · outbound

This paper cites The impact of data set similarity and diversity on transfer learning success in time series forecasting.

Griffin: Towards a Graph-Centric Relational Database Foundation Model The impact of data set similarity and diversity on transfer learning success in time series forecasting

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.068469Z

Source-reported events for the cited work

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Observation c43d75d2-0d5e-4e37-91d7-7b7b568a896e · outbound

This paper cites TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction.

Griffin: Towards a Graph-Centric Relational Database Foundation Model TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.082758Z

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Observation 2de9cbd1-e2d8-4453-a6bf-5604f2cc2974 · outbound

This paper cites Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning.

Griffin: Towards a Graph-Centric Relational Database Foundation Model Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.087571Z

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Observation 7a3d7e82-2c2e-410b-8e4e-0d960805b139 · outbound

This paper cites UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs.

Griffin: Towards a Graph-Centric Relational Database Foundation Model UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.092871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8aac2f20-dc01-4ec9-96aa-ab7dd2ce05fa · outbound

This paper cites TAPAS: Weakly Supervised Table Parsing via Pre-training.

Griffin: Towards a Graph-Centric Relational Database Foundation Model TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.097761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87f4be62-c8b2-46df-953a-501e23627413 · outbound

This paper cites TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second.

Griffin: Towards a Graph-Centric Relational Database Foundation Model TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.101980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eec2c51-ce96-4545-a85b-cf2dd887bc9c · outbound

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

Griffin: Towards a Graph-Centric Relational Database Foundation Model PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.107435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bb79810-4992-4b57-857d-d7f943055fd6 · outbound

This paper cites TabTransformer: Tabular Data Modeling Using Contextual Embeddings.

Griffin: Towards a Graph-Centric Relational Database Foundation Model TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.111736Z

Source-reported events for the cited work

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Observation 8c617d53-6ea2-421d-accb-e28a7842c463 · outbound

This paper cites OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering.

Griffin: Towards a Graph-Centric Relational Database Foundation Model OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.115510Z

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Observation 06388099-cd60-4532-aad9-5b728a2603df · outbound

This paper cites an unresolved cited work.

Griffin: Towards a Graph-Centric Relational Database Foundation Model Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:08:10.736265Z

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.

Observation f17ccf55-ccbf-4123-941a-488a52dff0b4 · outbound

This paper cites Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows.

Griffin: Towards a Graph-Centric Relational Database Foundation Model Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.129608Z

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Observation bb4e287a-d0b8-462d-9379-9f8a2c7e06e3 · outbound

This paper cites One for All: Towards Training One Graph Model for All Classification Tasks.

Griffin: Towards a Graph-Centric Relational Database Foundation Model One for All: Towards Training One Graph Model for All Classification Tasks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.133699Z

Source-reported events for the cited work

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Observation e94cb40d-8229-483b-b49a-79e574d0f2d1 · outbound

This paper cites TAPEX: Table Pre-training via Learning a Neural SQL Executor.

Griffin: Towards a Graph-Centric Relational Database Foundation Model TAPEX: Table Pre-training via Learning a Neural SQL Executor

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.138330Z

Source-reported events for the cited work

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Observation 2c8391f5-b9e1-48bb-ae8b-9b9105663fae · outbound

This paper cites Nomic Embed: Training a Reproducible Long Context Text Embedder.

Griffin: Towards a Graph-Centric Relational Database Foundation Model Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.142793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84151ce8-5f33-4e77-850f-48bac8b69bc1 · outbound

This paper cites an unresolved cited work.

Griffin: Towards a Graph-Centric Relational Database Foundation Model Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.147046Z

Source-reported events for the cited work

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Observation 1e7f841e-ef49-44cd-9204-44e72fb8f0de · outbound

This paper cites and Paulheim, H.

Griffin: Towards a Graph-Centric Relational Database Foundation Model and Paulheim, H

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:10.714208Z

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.

Observation 6fc5e8b6-0c01-4a12-95fb-050edb41c7a1 · outbound

This paper cites RelBench: A Benchmark for Deep Learning on Relational Databases.

Griffin: Towards a Graph-Centric Relational Database Foundation Model RelBench: A Benchmark for Deep Learning on Relational Databases

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.158897Z

Source-reported events for the cited work

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Observation 1bdafa93-164c-4dcb-a441-d36c4e42e130 · outbound

This paper cites SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training.

Griffin: Towards a Graph-Centric Relational Database Foundation Model SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.163462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 626ce1b7-e22d-4121-af29-5344dc056282 · outbound

This paper cites TableGPT2: A Large Multimodal Model with Tabular Data Integration.

Griffin: Towards a Graph-Centric Relational Database Foundation Model TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.168350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dfe3d1f-a1e6-432b-a357-44ed6c9aacae · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Griffin: Towards a Graph-Centric Relational Database Foundation Model LLaMA: Open and Efficient Foundation Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.172478Z

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Observation c3086c87-beb5-468b-bd43-3a1f408ecd9e · outbound

This paper cites 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs.

Griffin: Towards a Graph-Centric Relational Database Foundation Model 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.176026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 471385ef-8897-480b-b6e3-c1358c606da5 · outbound

This paper cites TableBench: A Comprehensive and Complex Benchmark for Table Question Answering.

Griffin: Towards a Graph-Centric Relational Database Foundation Model TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.180429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8da6612-780d-44b5-a9d9-13ab4ce0c5fc · outbound

This paper cites Making Pre-trained Language Models Great on Tabular Prediction.

Griffin: Towards a Graph-Centric Relational Database Foundation Model Making Pre-trained Language Models Great on Tabular Prediction

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.184855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6ebcd86-b7dd-4188-830a-578ceddc1963 · outbound

This paper cites TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data.

Griffin: Towards a Graph-Centric Relational Database Foundation Model TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.189002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0594a88b-531f-4ad3-a254-3cecab140d44 · outbound

This paper cites Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task.

Griffin: Towards a Graph-Centric Relational Database Foundation Model Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.193091Z

Source-reported events for the cited work

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Observation 01f5e8b5-4d76-4e21-be1e-8ea7d2790726 · outbound

This paper cites Florence: A New Foundation Model for Computer Vision.

Griffin: Towards a Graph-Centric Relational Database Foundation Model Florence: A New Foundation Model for Computer Vision

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.198197Z

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Observation cb67bea0-e1d2-4bef-b837-143c69dd06a7 · outbound

This paper cites ContextGNN: Beyond Two-Tower Recommendation Systems.

Griffin: Towards a Graph-Centric Relational Database Foundation Model ContextGNN: Beyond Two-Tower Recommendation Systems

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.203123Z

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Observation 4a8ea8b8-30c9-4a64-940b-19f7382faf6c · outbound

This paper cites From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models.

Griffin: Towards a Graph-Centric Relational Database Foundation Model From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.207292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9283f0db-d119-4dfc-be2a-f013ba66357d · outbound

This paper cites Fully-inductive Node Classification on Arbitrary Graphs.

Griffin: Towards a Graph-Centric Relational Database Foundation Model Fully-inductive Node Classification on Arbitrary Graphs

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.211512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 306fa924-3862-4260-8932-586e4e25a16c · outbound

This paper cites XTab: Cross-table Pretraining for Tabular Transformers.

Griffin: Towards a Graph-Centric Relational Database Foundation Model XTab: Cross-table Pretraining for Tabular Transformers

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.216268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ad63ec7-11ce-45f6-99d5-f785a24f9642 · outbound

This paper cites The detailed information is shown in Table.

Griffin: Towards a Graph-Centric Relational Database Foundation Model The detailed information is shown in Table

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:10.700660Z

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.

Observation 8cd0829c-222f-4f85-84af-e37a2588ef2d · outbound

This paper cites Language Models are Few-Shot Learners.

Griffin: Towards a Graph-Centric Relational Database Foundation Model Language Models are Few-Shot Learners

Reference 2003

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.036439Z

Source-reported events for the cited work

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Observation f55118a8-eaf9-4216-af8c-09e630795b1a · outbound

This paper cites RelGNN: Composite Message Passing for Relational Deep Learning.

Griffin: Towards a Graph-Centric Relational Database Foundation Model RelGNN: Composite Message Passing for Relational Deep Learning

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.046485Z

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Unavailable: canonical work link unavailable.

Observation 885be4fd-30cf-45c6-89bc-962d413ad169 · outbound

This paper cites CARTE: Pretraining and Transfer for Tabular Learning.

Griffin: Towards a Graph-Centric Relational Database Foundation Model CARTE: Pretraining and Transfer for Tabular Learning

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.124780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d84d5e34-5e92-4fcf-9abf-5cb918034fe9 · outbound

This paper cites TQA-Bench: Evaluating LLMs for Multi-Table Question Answering.

Griffin: Towards a Graph-Centric Relational Database Foundation Model TQA-Bench: Evaluating LLMs for Multi-Table Question Answering

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.150741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9ecb8f3-db9b-4b61-9e23-3ab43f738867 · outbound

This paper cites ARDA: Automatic Relational Data Augmentation for Machine Learning.

Griffin: Towards a Graph-Centric Relational Database Foundation Model ARDA: Automatic Relational Data Augmentation for Machine Learning

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.056853Z

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Unavailable: canonical work link unavailable.

Observation ea69f7cb-67dc-456a-8f84-094942b59c28 · outbound

This paper cites Cre- ating embeddings of heterogeneous relational datasets for data integration tasks.

Griffin: Towards a Graph-Centric Relational Database Foundation Model Cre- ating embeddings of heterogeneous relational datasets for data integration tasks

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:10.751826Z

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.

Observation 43fe44ff-6400-41c2-8d6b-f65354fa16fa · outbound

This paper cites Atj-net: Auto-table-join network for automatic learning on relational databases.

Griffin: Towards a Graph-Centric Relational Database Foundation Model Atj-net: Auto-table-join network for automatic learning on relational databases

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:10.769463Z

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.

Observation 7e67afe4-7e84-4d2c-aca9-9ef52c43dfb4 · outbound

This paper cites TabR: Tabular Deep Learning Meets Nearest Neighbors in 2023.

Griffin: Towards a Graph-Centric Relational Database Foundation Model TabR: Tabular Deep Learning Meets Nearest Neighbors in 2023

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.078142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40d233a6-65a7-4fcf-8154-fa918aee79e7 · outbound

This paper cites Supervised Learning on Relational Databases with Graph Neural Networks.

Griffin: Towards a Graph-Centric Relational Database Foundation Model Supervised Learning on Relational Databases with Graph Neural Networks

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.062923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d9cf23b-1075-4085-83a3-6e34e209be7d · outbound

This paper cites Relational Deep Learning: Graph Representation Learning on Relational Databases.

Griffin: Towards a Graph-Centric Relational Database Foundation Model Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.073838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c09f61e8-a866-4585-bb07-54b75b78f59d · outbound

This paper cites TabFact: A Large-scale Dataset for Table-based Fact Verification.

Griffin: Towards a Graph-Centric Relational Database Foundation Model TabFact: A Large-scale Dataset for Table-based Fact Verification

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.051707Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation d85e1146-e55e-441f-925d-e2f1cf8eaa2d · inbound

TabPFN-3: Technical Report cites this paper.

TabPFN-3: Technical Report Griffin: Towards a Graph-Centric Relational Database Foundation Model

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:10:05.977746Z

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.

Observation 1b56163e-5cc4-4c5e-a783-29bb9a79e0d8 · inbound

TabPFN-3: Technical Report cites this paper.

TabPFN-3: Technical Report Griffin: Towards a Graph-Centric Relational Database Foundation Model

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:25:46.497905Z

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.

Observation adbd090b-3ce9-4114-a2d0-817e00e48c15 · inbound

RelPrism: A Multi-Faceted Pre-training Framework with Self-Generated Tasks for Relational Databases cites this paper.

RelPrism: A Multi-Faceted Pre-training Framework with Self-Generated Tasks for Relational Databases Griffin: Towards a Graph-Centric Relational Database Foundation Model

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:05:22.259384Z

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.

Observation 956e7a41-f5a2-4dbf-b10e-b0afb251d853 · inbound

Universal Encoders for Modular Relational Deep Learning cites this paper.

Universal Encoders for Modular Relational Deep Learning Griffin: Towards a Graph-Centric Relational Database Foundation Model

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T14:49:31.678028Z

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.

Observation 39b29088-b405-40d3-96ba-fb9fae392ad4 · inbound

PluRel-to-RDB-PFN: Schema-Guided Synthetic Relational Pretraining cites this paper.

PluRel-to-RDB-PFN: Schema-Guided Synthetic Relational Pretraining Griffin: Towards a Graph-Centric Relational Database Foundation Model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T13:14:31.277260Z

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Observation 0aa36d96-a2e1-4f63-8ff3-0068b6c34eb1 · inbound

Incremental Evaluation and Training in Relational Deep Learning cites this paper.

Incremental Evaluation and Training in Relational Deep Learning Griffin: Towards a Graph-Centric Relational Database Foundation Model

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T18:23:09.046280Z

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Unavailable: canonical work link unavailable.