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Paper Citation Record · LEDGER

Incremental Evaluation and Training in Relational Deep Learning

As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2608.13023.

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

pith.paper-citation-record.v1
2608.13023 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:23:09.070645Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

  • verified exact1
  • verified fuzzy15
  • unresolved26
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3374f521-2496-4999-825e-f0777fc34469 · outbound

This paper cites Agrawal, A.

Incremental Evaluation and Training in Relational Deep Learning Agrawal, A

Reference 1

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Observation 56fea7ee-8a8c-4fed-8567-51ffd7361fee · outbound

This paper cites Brody, U.

Incremental Evaluation and Training in Relational Deep Learning Brody, U

Reference 2

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Observation 184b316c-683a-44a8-a504-7060d602456b · outbound

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Incremental Evaluation and Training in Relational Deep Learning Unresolved cited work

Reference 3

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Observation 13fe4d10-2d94-47c9-95e1-992c194bc73f · outbound

This paper cites Chen, P.-H.

Incremental Evaluation and Training in Relational Deep Learning Chen, P.-H

Reference 4

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Observation aa42cb93-be6d-4df1-b535-74ee138d90ee · outbound

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Incremental Evaluation and Training in Relational Deep Learning Unresolved cited work

Reference 5

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Observation f22072fa-b3e2-41c6-bf3f-f43494ff2dda · outbound

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Incremental Evaluation and Training in Relational Deep Learning Unresolved cited work

Reference 6

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

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

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

Reference 7

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Observation 9599d3c1-65e7-4436-a5aa-f426be707c48 · outbound

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Incremental Evaluation and Training in Relational Deep Learning Unresolved cited work

Reference 8

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Observation 51789c8f-29cc-4ff4-82af-898f1d5b3e8c · outbound

This paper cites an unresolved cited work.

Incremental Evaluation and Training in Relational Deep Learning Unresolved cited work

Reference 9

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Incremental Evaluation and Training in Relational Deep Learning Unresolved cited work

Reference 10

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Incremental Evaluation and Training in Relational Deep Learning Unresolved cited work

Reference 11

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Observation 10f672cc-5bbd-447d-9cfe-a9cc30f0a05b · outbound

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Incremental Evaluation and Training in Relational Deep Learning Unresolved cited work

Reference 12

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Observation b8c09c75-ff07-4e70-ac0c-f0ff5218fcce · outbound

This paper cites Gorishniy, I.

Incremental Evaluation and Training in Relational Deep Learning Gorishniy, I

Reference 14

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Observation 3c8a57c7-e242-47bd-84b4-f8c12bff2c28 · outbound

This paper cites RelBench v2: A Large-Scale Benchmark and Repository for Relational Data.

Incremental Evaluation and Training in Relational Deep Learning RelBench v2: A Large-Scale Benchmark and Repository for Relational Data

Reference 15

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Observation ec2eeebf-8b66-4bec-bca4-6305baaeddb6 · outbound

This paper cites Hamilton, Z.

Incremental Evaluation and Training in Relational Deep Learning Hamilton, Z

Reference 16

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Observation 2fc59e6a-83de-4180-b2f4-3e91c96199b1 · outbound

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

Incremental Evaluation and Training in Relational Deep Learning PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning

Reference 17

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Observation 864b1a0f-532c-4b47-aeaa-010a0684fff9 · outbound

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

Incremental Evaluation and Training in Relational Deep Learning TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Reference 18

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Observation 6ab8a6ee-bbd8-4043-84e4-a6887eb01f39 · outbound

This paper cites KumoRFM-2: Scaling Foundation Models for Relational Learning.

Incremental Evaluation and Training in Relational Deep Learning KumoRFM-2: Scaling Foundation Models for Relational Learning

Reference 19

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Observation 65c1cbd3-f9a7-454d-b7d8-706bac4fba9b · outbound

This paper cites Jurkovic, V.

Incremental Evaluation and Training in Relational Deep Learning Jurkovic, V

Reference 20

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Incremental Evaluation and Training in Relational Deep Learning Unresolved cited work

Reference 21

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Observation 3a31d00c-9796-4cf4-97fa-17920c2888e6 · outbound

This paper cites Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases.

Incremental Evaluation and Training in Relational Deep Learning Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases

Reference 22

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Observation e3a346fe-1938-4d05-bdbd-aa52948ffa1e · outbound

This paper cites PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models.

Incremental Evaluation and Training in Relational Deep Learning PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models

Reference 23

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Observation 9bf99cb6-1a92-47bc-b659-0fa34bae5077 · outbound

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Incremental Evaluation and Training in Relational Deep Learning Lachi, M

Reference 24

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Observation f4f26318-486b-4324-9255-348a7c1284d4 · outbound

This paper cites Boosting Relational Deep Learning with Pretrained Tabular Models.

Incremental Evaluation and Training in Relational Deep Learning Boosting Relational Deep Learning with Pretrained Tabular Models

Reference 25

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Incremental Evaluation and Training in Relational Deep Learning Unresolved cited work

Reference 26

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Observation 13e6021e-5243-4963-b1ac-a60c5527cb13 · outbound

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Incremental Evaluation and Training in Relational Deep Learning Moritz, R

Reference 27

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Incremental Evaluation and Training in Relational Deep Learning Unresolved cited work

Reference 28

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Incremental Evaluation and Training in Relational Deep Learning Peleška and G

Reference 29

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Incremental Evaluation and Training in Relational Deep Learning Peleška and G

Reference 30

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Incremental Evaluation and Training in Relational Deep Learning Peleška and G

Reference 31

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Observation b96bb69d-8a30-4c9f-957d-a9fa374fb1af · outbound

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Incremental Evaluation and Training in Relational Deep Learning Ranjan, V

Reference 32

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Observation 29c9483a-f0c9-4839-9d05-d028252bda11 · outbound

This paper cites Robinson, R.

Incremental Evaluation and Training in Relational Deep Learning Robinson, R

Reference 33

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Observation 727c15d5-d79d-4f5e-8ab0-1f8bfa08d005 · outbound

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Incremental Evaluation and Training in Relational Deep Learning Temporal Graph Networks for Deep Learning on Dynamic Graphs

Reference 34

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Observation cb164b2f-8fbb-459f-bc0d-87eb76f4b4ee · outbound

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Incremental Evaluation and Training in Relational Deep Learning Veliˇckovi´c, G

Reference 35

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

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

Reference 36

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Observation a1eb3498-3807-425d-a6c9-16fb5d3c1c22 · outbound

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Incremental Evaluation and Training in Relational Deep Learning Wehrstein, C

Reference 37

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Observation 7a45f49e-b1e1-4b70-b1a2-01c012543d60 · outbound

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Incremental Evaluation and Training in Relational Deep Learning Unresolved cited work

Reference 38

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Observation 7158b93a-161c-47fb-8fa8-8f42f9733c62 · outbound

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Incremental Evaluation and Training in Relational Deep Learning Unresolved cited work

Reference 39

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Observation 1b5606cf-4e0b-4688-98ce-7170cd4382c5 · outbound

This paper cites Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases.

Incremental Evaluation and Training in Relational Deep Learning Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases

Reference 40

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c01938da-618b-4f23-bdbe-6a1db3165304 · outbound

This paper cites Zahradník, J.

Incremental Evaluation and Training in Relational Deep Learning Zahradník, J

Reference 41

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 872e4ac9-00bb-437e-b138-82a0e6ed59e4 · outbound

This paper cites Zhang, D.

Incremental Evaluation and Training in Relational Deep Learning Zhang, D

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:09.437539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6c5ca026-1b06-4544-98e6-4e5270915f51 · outbound

This paper cites an unresolved cited work.

Incremental Evaluation and Training in Relational Deep Learning Unresolved cited work

Reference 2025

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.