Paper Citation Record · LEDGER

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference

As of 20 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:2508.16995.

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

pith.paper-citation-record.v1
2508.16995 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:14:45.527034Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:57:04.040633Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T00:02:49.800417Z

Reference resolution

18 of 18 outbound references displayed

verified exact3
verified fuzzy5
unresolved9
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7bad4e64-1838-4027-9ca3-0a3e89d49a62 · outbound

This paper cites Graph Neural Networks with Learnable Structural and Positional Representations.

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference Graph Neural Networks with Learnable Structural and Positional Representations

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T17:14:45.458857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea348b9f-862d-4c9e-b4fb-b56d63abe031 · outbound

This paper cites Conditional Neural Processes.

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference Conditional Neural Processes

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T17:14:45.464255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69b20314-a55f-4657-9c5a-b32e57d5bef8 · outbound

This paper cites Fake News Detection on Social Media using Geometric Deep Learning.

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference Fake News Detection on Social Media using Geometric Deep Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T17:14:45.479609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98a954fe-b46d-4267-9616-56cd0006a7d5 · outbound

This paper cites Recipe for a General, Powerful, Scalable Graph Transformer.

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference Recipe for a General, Powerful, Scalable Graph Transformer

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T17:14:45.484305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c6627a4-aae7-4ba6-b6b0-9d1c0721c51c · outbound

This paper cites A framework for recommending accurate and diverse items using Bayesian graph convolutional neural networks.

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference A framework for recommending accurate and diverse items using Bayesian graph convolutional neural networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:45.854491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4a6e5c64-f6d4-4c1e-9121-050860da634d · outbound

This paper cites The prediction of the quality of results in logic synthesis using transformer and graph neural networks.

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference The prediction of the quality of results in logic synthesis using transformer and graph neural networks

Reference 11

Resolution: verified exact; raw_fallback, observed 2026-08-15T17:14:45.636410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 374edd4d-b54c-4bab-a2d7-099b5b788290 · outbound

This paper cites an unresolved cited work.

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-15T17:14:45.841819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b56d8510-5018-435a-af01-3cd226d7cf9a · outbound

This paper cites an unresolved cited work.

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-15T17:14:45.830364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6659291b-ff48-4dfd-9512-6eca6534dc4c · outbound

This paper cites The task is to predict the constrained solubility (logP) of the molecule.

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference The task is to predict the constrained solubility (logP) of the molecule

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:45.803144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6334abdb-b832-41f4-a250-078a0b551aff · outbound

This paper cites We provide a summary of the hyperparameter configurations in Table.

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference We provide a summary of the hyperparameter configurations in Table

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:45.790827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 42b7e1eb-78d1-44e1-bb8a-8ba0b2a20714 · outbound

This paper cites learnable parameters for OGB datasets.

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference learnable parameters for OGB datasets

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:45.777651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 57beaadf-99cb-4366-bc56-4e70cdd4240b · outbound

This paper cites Relative increase and no.

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference Relative increase and no

Reference 18

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T17:14:45.764577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9dd54846-f467-4b3e-8c32-2ab87fbd423f · outbound

This paper cites doi: 10.1021/ci3001277.

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference doi: 10.1021/ci3001277

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-15T17:14:45.468966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a86211eb-40f5-4bcc-882d-6f20193f4bec · outbound

This paper cites Benchmarking Graph Neural Networks.

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference Benchmarking Graph Neural Networks

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-15T17:14:45.453817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a810a761-747f-4d2f-966e-3af7440609d8 · outbound

This paper cites Tune: A Research Platform for Distributed Model Selection and Training.

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference Tune: A Research Platform for Distributed Model Selection and Training

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-15T17:14:45.474493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c86a2933-17f5-4fe3-85f4-7ca23c76920c · outbound

This paper cites Message Passing Neural Processes.

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference Message Passing Neural Processes

Reference 2019

Resolution: verified exact; local_arxiv, observed 2026-08-15T17:14:45.731732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8dfaadcb-a93f-4b68-a042-0296ed5a0981 · outbound

This paper cites Graph Neural Processes: Towards Bayesian Graph Neural Networks.

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference Graph Neural Processes: Towards Bayesian Graph Neural Networks

Reference 2020

Resolution: verified exact; local_arxiv, observed 2026-08-15T17:14:45.750510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 376da948-751f-4bed-931a-d48fe8fead7e · outbound

This paper cites Many new datasets are included in recent years (Hu et al., 2020).

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference Many new datasets are included in recent years (Hu et al., 2020)

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:45.816765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation d024e14b-8f34-4d35-a174-8f6da5fd2fea · inbound

AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph Classification cites this paper.

AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph Classification GraphPPD: Posterior Predictive Modelling for Graph-Level Inference

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:02:49.801777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.