Paper Citation Record · LEDGER

Relational Deep Learning: Graph Representation Learning on Relational Databases

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 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 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:33:31.241867Z

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 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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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.