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Paper Citation Record · LEDGER

Supervised Learning on Relational Databases with Graph Neural Networks

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2002.02046.

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

pith.paper-citation-record.v1
2002.02046 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:08:10.062923Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:09:37.816238Z

Reference resolution

0 of 0 outbound references displayed

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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 ea0c28fa-fb91-459a-9161-f8bdc5772a1b · inbound

Transformers Meet Relational Databases cites this paper.

Transformers Meet Relational Databases Supervised Learning on Relational Databases with Graph Neural Networks

Reference 31

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no resolver link, observed 2026-08-11T20:54:08.845282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:54:08.845282Z digest=sha256:a8448805a4aaf29e114df5319ec96692842d190b5e8c422b10e29e471bca21b0

Observation da3d7cad-6adf-4870-90c3-fea4d833f36f · inbound

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

Retrieval-Augmented Generation with Graphs (GraphRAG) Supervised Learning on Relational Databases with Graph Neural Networks

Reference 71

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verified exact
arxiv_id, observed 2026-05-18T04:33:39.388266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:b66ebddaf120d31b52e7dfe3ee0305700380d93eff7ff4fbfb623ad2505b9523

Observation c43a6e42-e552-4cf5-bf3e-9f185a5328b2 · inbound

OpenGU: A Comprehensive Benchmark for Graph Unlearning cites this paper.

OpenGU: A Comprehensive Benchmark for Graph Unlearning Supervised Learning on Relational Databases with Graph Neural Networks

Reference 22

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no resolver link, observed 2026-08-10T22:10:05.274406Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:10:05.274406Z digest=sha256:0919156bc8de526aa3b776df05866c00c666b062860bc7fae50f49fad87ef6d5

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

Griffin: Towards a Graph-Centric Relational Database Foundation Model cites this paper.

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

Reference 2023

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:08:10.062923Z digest=sha256:40914f6fb73a0202491bb76c55f645cdb11b7e261112d95a6cbfb4f177885a22

Observation de2f074e-a042-411f-8ad3-7a94e35d1bc4 · inbound

From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs cites this paper.

From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs Supervised Learning on Relational Databases with Graph Neural Networks

Reference 2

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no resolver link, observed 2026-08-07T11:31:42.054459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:42.054459Z digest=sha256:fbb952a1db04260e841862a3b00ea5b4d88b0793e07a9820d4330f7642550fae

Observation 7e21db35-2144-468d-b8bf-3bc2b28fbd40 · inbound

Rel-HNN: Split Parallel Hypergraph Neural Network for Learning on Relational Databases cites this paper.

Rel-HNN: Split Parallel Hypergraph Neural Network for Learning on Relational Databases Supervised Learning on Relational Databases with Graph Neural Networks

Reference 9

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no resolver link, observed 2026-08-06T16:49:09.070444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:49:09.070444Z digest=sha256:5b704b7ac1a13892e4b0295d5f83c7fb714a4e70f0f9046038d91b0c2d73f920

Observation b6e20550-72de-47e5-82d6-728d75fbd76d · inbound

Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases cites this paper.

Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases Supervised Learning on Relational Databases with Graph Neural Networks

Reference 9

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no resolver link, observed 2026-08-05T22:17:47.524374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:17:47.524374Z digest=sha256:b38bc1363517cda86059305429de6139c63bb3da8c5894a05d59adfd19f6df8d

Observation 732e6695-ee00-4c37-92b0-790cc2b48d12 · inbound

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

Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets Supervised Learning on Relational Databases with Graph Neural Networks

Reference 13

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no resolver link, observed 2026-08-05T14:46:18.518343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:46:18.518343Z digest=sha256:90b3c5491aea7bbf0661975bdc94db551f0732bf32bfbb3e67447f1a48348076

Observation dcdfff85-8cae-4d7c-ab65-ba7ed46b965a · inbound

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

No Need to Train Your RDB Foundation Model Supervised Learning on Relational Databases with Graph Neural Networks

Reference 5

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no resolver link, observed 2026-08-02T23:33:31.051675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:33:31.051675Z digest=sha256:8bd1a176222e9bed8004e8bb25bee543c422d62d9b87c223ca016d61a6e1f478

Observation 4dfeaad6-79c6-4789-9769-31b04d754cde · inbound

From Schema to Signal: Retrieval-Augmented Modeling for Relational Data Analytics cites this paper.

From Schema to Signal: Retrieval-Augmented Modeling for Relational Data Analytics Supervised Learning on Relational Databases with Graph Neural Networks

Reference 12

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verified exact
arxiv_id, observed 2026-05-15T01:59:38.616267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T01:59:36.391925Z digest=sha256:6d13d4c5bab0a71a47e94dcb14b90784209d491d61eb28724202357193373e29

Observation db847170-d887-44db-adc4-6a8b03d39f73 · inbound

Gaussian Relational Graph Transformer cites this paper.

Gaussian Relational Graph Transformer Supervised Learning on Relational Databases with Graph Neural Networks

Reference 15

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verified exact
arxiv_id, observed 2026-05-20T20:03:43.303705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-20T20:03:33.667949Z digest=sha256:8957f3e6dd2851064ff125959a1ce90fac68b01db4eb7e6e5c3ce5758e9c36ac

Observation 200bf3b0-2a7f-4830-8364-c974c5607fdd · 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 Supervised Learning on Relational Databases with Graph Neural Networks

Reference 12

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verified exact
arxiv_id, observed 2026-05-25T05:05:22.324723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T05:05:04.461460Z digest=sha256:65388c24799c751a19bbe3ff5719f0a14aca31edef67d26e8418066564f5fb8b

Observation bba07e8f-7e49-40d6-8514-fb6b381c1da0 · inbound

What Makes a Desired Graph for Relational Deep Learning? cites this paper.

What Makes a Desired Graph for Relational Deep Learning? Supervised Learning on Relational Databases with Graph Neural Networks

Reference 3

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verified exact
arxiv_id, observed 2026-07-02T22:47:26.245471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T18:38:05.728004Z digest=sha256:50c6b0ce03d2bc271b59c201cd1b78e6e8c6b8430fe77e8f119a6dee3f807282

Observation 04447956-13f8-4c7d-a15d-9f545aa2a28c · inbound

Universal Encoders for Modular Relational Deep Learning cites this paper.

Universal Encoders for Modular Relational Deep Learning Supervised Learning on Relational Databases with Graph Neural Networks

Reference 3

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metadata mismatch
arxiv_id, observed 2026-07-04T06:09:37.817899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T14:44:38.182752Z digest=sha256:68a28a9e5f36a18a1112b3b1a4dbaaa6b9403dd165996d83331c499d78e7eec2

Observation 3700f26a-86ed-4847-87f7-d59ba028c00e · inbound

A Fair Benchmarking of Deep Relational Database Learning Models cites this paper.

A Fair Benchmarking of Deep Relational Database Learning Models Supervised Learning on Relational Databases with Graph Neural Networks

Reference 16

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unresolved
no resolver link, observed 2026-07-12T00:51:47.860356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T00:51:47.860356Z digest=sha256:860a81f620bc531a3471dab99b1dd5c22d3022d09d188af3a1924bfa5f2e9835

Observation dab1c6fc-5ca8-42bc-b325-b98f32085824 · inbound

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

Parameter-Free Encoders Remain Viable for RDB Foundation Models Supervised Learning on Relational Databases with Graph Neural Networks

Reference 3

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:47:14.742492Z digest=sha256:c5dad66968bc085012f8ea8ca67f905c673534792700719cbd21b3a26888def7

Observation e5105448-a8f9-493e-92a8-c6d02e50baab · inbound

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

Parameter-Free Encoders Remain Viable for RDB Foundation Models Supervised Learning on Relational Databases with Graph Neural Networks

Reference 2026

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unresolved
no resolver link, observed 2026-08-02T08:36:02.245898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:36:02.245898Z digest=sha256:df9f9c1fe7d7b94b3aecc2f4efd1a2845f9d0e7282e925269358f7cbf1adbd5f

Observation 70426db3-052d-4932-9a64-00de9e61e44a · inbound

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

Incremental Evaluation and Training in Relational Deep Learning Supervised Learning on Relational Databases with Graph Neural Networks

Reference 7

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no resolver link, observed 2026-08-15T18:23:08.922272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:23:08.922272Z digest=sha256:526dbc063145acfb3d9cf831ede4b966c32f130378e8e07f8ea383b2876519bb