Paper Citation Record · LEDGER

Relational Deep Learning: Graph Representation Learning on Relational Databases

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2312.04615.

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

pith.paper-citation-record.v1
2312.04615 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:38:42.503601Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:09:57.498942Z

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 cd50fd52-7ed8-4ca7-8fd4-f80c68dddd40 · inbound

Graph Neural Networks on Graph Databases cites this paper.

Graph Neural Networks on Graph Databases Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:42.503601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbc4d046-8192-4413-83c3-01c56f05e0a4 · inbound

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

Tackling prediction tasks in relational databases with LLMs Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:36.941396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f16d605f-c888-44bb-a347-444e41037faa · inbound

A Self-Explainable Heterogeneous GNN for Relational Deep Learning cites this paper.

A Self-Explainable Heterogeneous GNN for Relational Deep Learning Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T05:24:03.741546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ac4cc63-daa5-4883-a5a2-f8464312953c · inbound

GraphAgent: Agentic Graph Language Assistant cites this paper.

GraphAgent: Agentic Graph Language Assistant Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T05:56:03.725267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cf21dd9-2b58-4523-abae-62251cead23f · inbound

Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.

Retrieval-Augmented Generation with Graphs (GraphRAG) Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 115

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:33:39.356916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b6bb5324-f093-4f6b-932d-773258d7afc5 · inbound

Joint Relational Database Generation via Graph-Conditional Diffusion Models cites this paper.

Joint Relational Database Generation via Graph-Conditional Diffusion Models Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:14:53.358746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 66143597-0f3b-4c5d-b2a8-aa708f4801c3 · inbound

Graph World Model cites this paper.

Graph World Model Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T17:37:11.662125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46f5ec0e-1c66-43a2-8ab1-558a2f8a0987 · inbound

Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets cites this paper.

Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T14:46:18.521561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bffa5ec-bdb0-4c7e-8d9f-8bf7e288fd7f · inbound

No Need to Train Your RDB Foundation Model cites this paper.

No Need to Train Your RDB Foundation Model Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:31.241867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee7abc61-18cb-4368-9015-fa0d806f972e · 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 Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:05:22.319305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d145f58e-7a2f-40b8-9378-8766f161d923 · inbound

SemStruct: Contextualizing Semantic Embeddings with Structural Information for Schema Matching cites this paper.

SemStruct: Contextualizing Semantic Embeddings with Structural Information for Schema Matching Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:32:47.247739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ead0cdfa-a3a1-4bb3-bcd7-321c0fee9293 · inbound

The Post-GCN Decade Revisited: Curvature-Stratified Evaluation of Relational Learning cites this paper.

The Post-GCN Decade Revisited: Curvature-Stratified Evaluation of Relational Learning Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:56:55.654495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8743008b-25ac-4a64-b6f8-5b9c3941938d · inbound

A Fair Evaluation of Graph Foundation Models for Node Property Prediction cites this paper.

A Fair Evaluation of Graph Foundation Models for Node Property Prediction Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:09:57.500389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8d778328-21e7-46c1-892b-245517396b65 · inbound

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets cites this paper.

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.195708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fb304738-d620-41f8-bb06-122a3bb1414b · inbound

Parameter-Free Encoders Remain Viable for RDB Foundation Models cites this paper.

Parameter-Free Encoders Remain Viable for RDB Foundation Models Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T11:47:14.742492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7904f7a3-de28-40bd-9dc2-8b00c5b5d6b9 · inbound

Parameter-Free Encoders Remain Viable for RDB Foundation Models cites this paper.

Parameter-Free Encoders Remain Viable for RDB Foundation Models Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T08:36:02.480788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aef72cfc-56b2-4bdd-b5c0-829e97c9aad2 · inbound

UniSAGE: Unifying Static and Dynamic Attributes with Hyper-Structure cites this paper.

UniSAGE: Unifying Static and Dynamic Attributes with Hyper-Structure Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T14:52:34.303291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.