Paper Citation Record · LEDGER

DeltaGNN: Graph Neural Network with Information Flow Control

As of 11 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2501.06002.

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

pith.paper-citation-record.v1
2501.06002 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:10:51.236364Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

48 of 48 outbound references displayed

verified exact2
verified fuzzy28
unresolved17
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 01ca2a29-12f7-47b2-8f9c-f594fe09c860 · outbound

This paper cites The graph neural network model,.

DeltaGNN: Graph Neural Network with Information Flow Control The graph neural network model,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:52.759228Z

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Observation e6970f09-9f0b-495b-861d-a80e44f55629 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

DeltaGNN: Graph Neural Network with Information Flow Control Semi-Supervised Classification with Graph Convolutional Networks

Reference 2

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Source-reported events for the cited work

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Observation 75f8b84c-04c8-4ce4-8374-ff833d06000f · outbound

This paper cites A Comprehensive Survey on Graph Neural Networks.

DeltaGNN: Graph Neural Network with Information Flow Control A Comprehensive Survey on Graph Neural Networks

Reference 3

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Source-reported events for the cited work

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Observation 8121eb52-ac5a-4aa9-a852-de4c1a0f3c1c · outbound

This paper cites Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification.

DeltaGNN: Graph Neural Network with Information Flow Control Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification

Reference 4

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Source-reported events for the cited work

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Observation e5b42db6-adaa-4b73-becf-7646cc23a49b · outbound

This paper cites Message passing neural networks,.

DeltaGNN: Graph Neural Network with Information Flow Control Message passing neural networks,

Reference 5

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Observation 3db6212f-ff58-41f1-997b-61cb8d8a647f · outbound

This paper cites Predicting multicellular function through multi-layer tissue networks.

DeltaGNN: Graph Neural Network with Information Flow Control Predicting multicellular function through multi-layer tissue networks

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:10:51.524887Z

Source-reported events for the cited work

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Observation cbc2ed21-f550-439d-b2dc-160d9383a79a · outbound

This paper cites Graph-based deep learning for medical diagnosis and analysis: Past, present and future,.

DeltaGNN: Graph Neural Network with Information Flow Control Graph-based deep learning for medical diagnosis and analysis: Past, present and future,

Reference 7

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T21:10:52.724517Z

Source-reported events for the cited work

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Observation 2bc66791-d132-420e-9ea3-3b84d5f4bedb · outbound

This paper cites Graph neural networks in network neuroscience,.

DeltaGNN: Graph Neural Network with Information Flow Control Graph neural networks in network neuroscience,

Reference 8

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Source-reported events for the cited work

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Observation 3da781f3-674a-4228-86a7-916932b2eb47 · outbound

This paper cites Medmnist v2-a large-scale lightweight benchmark for 2d and 3d biomedical image classifica- tion,.

DeltaGNN: Graph Neural Network with Information Flow Control Medmnist v2-a large-scale lightweight benchmark for 2d and 3d biomedical image classifica- tion,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:52.646076Z

Source-reported events for the cited work

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Observation e1089a3a-f00d-4cb5-b9f9-ee2e3836aae2 · outbound

This paper cites Deeper insights into graph convolutional networks for semi-supervised learning,.

DeltaGNN: Graph Neural Network with Information Flow Control Deeper insights into graph convolutional networks for semi-supervised learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:52.601100Z

Source-reported events for the cited work

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Observation 26a2328f-57ca-4f6f-8baa-a2ba7ad81ade · outbound

This paper cites On the Bottleneck of Graph Neural Networks and its Practical Implications.

DeltaGNN: Graph Neural Network with Information Flow Control On the Bottleneck of Graph Neural Networks and its Practical Implications

Reference 11

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Source-reported events for the cited work

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Observation 7e35c88e-f18f-411a-b9be-5793d8b89c13 · outbound

This paper cites Representing long-range context for graph neural networks with global attention,.

DeltaGNN: Graph Neural Network with Information Flow Control Representing long-range context for graph neural networks with global attention,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:52.575915Z

Source-reported events for the cited work

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Observation e2c73c8e-309b-454e-b540-c372c109bb0d · outbound

This paper cites A gnn architecture with local and global-attention fea- ture for image classification,.

DeltaGNN: Graph Neural Network with Information Flow Control A gnn architecture with local and global-attention fea- ture for image classification,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:52.540476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 01614fb6-1fe0-45dc-808a-ef304abda57a · outbound

This paper cites Revisiting over-smoothing and over- squashing using ollivier-ricci curvature,.

DeltaGNN: Graph Neural Network with Information Flow Control Revisiting over-smoothing and over- squashing using ollivier-ricci curvature,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:52.474754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b81786cd-cedd-4d5f-9753-22e64675a482 · outbound

This paper cites Locality-Aware Graph-Rewiring in GNNs.

DeltaGNN: Graph Neural Network with Information Flow Control Locality-Aware Graph-Rewiring in GNNs

Reference 15

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Source-reported events for the cited work

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Observation 85b237b1-1f71-42ac-aaf4-caa326bb891d · outbound

This paper cites A Survey on Oversmoothing in Graph Neural Networks.

DeltaGNN: Graph Neural Network with Information Flow Control A Survey on Oversmoothing in Graph Neural Networks

Reference 16

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Source-reported events for the cited work

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Observation 1c5fee7b-5327-493f-bccb-c1a57be26152 · outbound

This paper cites Measuring and relieving the over-smoothing problem for graph neural networks from the topological view,.

DeltaGNN: Graph Neural Network with Information Flow Control Measuring and relieving the over-smoothing problem for graph neural networks from the topological view,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:52.392269Z

Source-reported events for the cited work

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Observation 624332bd-c87f-44fd-b8cf-7f58d6d4be85 · outbound

This paper cites On over-squashing in message passing neural networks: The impact of width, depth, and topology,.

DeltaGNN: Graph Neural Network with Information Flow Control On over-squashing in message passing neural networks: The impact of width, depth, and topology,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:52.294789Z

Source-reported events for the cited work

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Observation c72ab6c7-70c6-4955-9cab-67d509681953 · outbound

This paper cites Ricci curvature of markov chains on metric spaces,.

DeltaGNN: Graph Neural Network with Information Flow Control Ricci curvature of markov chains on metric spaces,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:52.217153Z

Source-reported events for the cited work

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Observation ea955239-06bd-4c99-bf6d-79e5c1c977fb · outbound

This paper cites Ollivier-ricci curvature-based method to community detection in com- plex networks,.

DeltaGNN: Graph Neural Network with Information Flow Control Ollivier-ricci curvature-based method to community detection in com- plex networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:52.044823Z

Source-reported events for the cited work

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Observation e3346a81-0a4e-47ba-997c-d885b7a00c0c · outbound

This paper cites Note on a method for calculating cor- rected sums of squares and products,.

DeltaGNN: Graph Neural Network with Information Flow Control Note on a method for calculating cor- rected sums of squares and products,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:51.979347Z

Source-reported events for the cited work

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Observation 3aaf1f84-684d-44e5-b27a-89f64746ab9e · outbound

This paper cites Graph transformer networks,.

DeltaGNN: Graph Neural Network with Information Flow Control Graph transformer networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:51.948413Z

Source-reported events for the cited work

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Observation 42b292f9-0c04-479f-aea0-3bf0d4f2f737 · outbound

This paper cites A Generalization of Transformer Networks to Graphs.

DeltaGNN: Graph Neural Network with Information Flow Control A Generalization of Transformer Networks to Graphs

Reference 23

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Source-reported events for the cited work

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Observation 8758fbfd-36b5-4817-8cec-58099d8f360b · outbound

This paper cites Under- standing oversquashing in gnns through the lens of effec- tive resistance,.

DeltaGNN: Graph Neural Network with Information Flow Control Under- standing oversquashing in gnns through the lens of effec- tive resistance,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:51.930168Z

Source-reported events for the cited work

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Observation 03b0a4d0-56e7-4255-8fb1-64f35e6906fd · outbound

This paper cites DiffWire: Inductive Graph Rewiring via the Lov\'asz Bound.

DeltaGNN: Graph Neural Network with Information Flow Control DiffWire: Inductive Graph Rewiring via the Lov\'asz Bound

Reference 25

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Source-reported events for the cited work

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Observation bc3a7c14-e726-4682-9649-3e6f94d0ef8f · outbound

This paper cites FoSR: First-order spectral rewiring for addressing oversquashing in GNNs.

DeltaGNN: Graph Neural Network with Information Flow Control FoSR: First-order spectral rewiring for addressing oversquashing in GNNs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:51.118025Z

Source-reported events for the cited work

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Observation 8b027429-a191-42d2-a924-486693d6936e · outbound

This paper cites Two sides of the same coin: Heterophily and oversmoothing in graph convolutional neural networks,.

DeltaGNN: Graph Neural Network with Information Flow Control Two sides of the same coin: Heterophily and oversmoothing in graph convolutional neural networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:51.892031Z

Source-reported events for the cited work

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Observation 115cbbce-6e70-4a1b-b804-e21dc61be1c0 · outbound

This paper cites Ueber den begriff der vollst¨andigen differentialgeometrischen fl ¨ache,.

DeltaGNN: Graph Neural Network with Information Flow Control Ueber den begriff der vollst¨andigen differentialgeometrischen fl ¨ache,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:51.864978Z

Source-reported events for the cited work

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Observation 6e774521-9452-4829-9e16-cbc477bb1901 · outbound

This paper cites Bolzano and uniform continuity,.

DeltaGNN: Graph Neural Network with Information Flow Control Bolzano and uniform continuity,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:51.830364Z

Source-reported events for the cited work

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Observation 59e1509a-a6b6-45e1-a3e5-8ab632aa6a43 · outbound

This paper cites DuoGNN: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling.

DeltaGNN: Graph Neural Network with Information Flow Control DuoGNN: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling

Reference 30

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Observation baeabcbe-6271-42a1-802e-408875c39ff6 · outbound

This paper cites Representation learning on graphs with jumping knowledge networks,.

DeltaGNN: Graph Neural Network with Information Flow Control Representation learning on graphs with jumping knowledge networks,

Reference 31

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Observation fcbbf9ee-43d2-4ebe-9b47-a87ad55ea4bd · outbound

This paper cites How Powerful are Graph Neural Networks?.

DeltaGNN: Graph Neural Network with Information Flow Control How Powerful are Graph Neural Networks?

Reference 32

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Source-reported events for the cited work

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Observation 72c46d76-ef96-4a9a-bab1-c1421f4e4922 · outbound

This paper cites Graph attention networks,.

DeltaGNN: Graph Neural Network with Information Flow Control Graph attention networks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:51.770904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 61b3e8bb-7bae-4920-916c-ccb441ff4b50 · outbound

This paper cites Understanding over-squashing and bottlenecks on graphs via curvature.

DeltaGNN: Graph Neural Network with Information Flow Control Understanding over-squashing and bottlenecks on graphs via curvature

Reference 34

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Source-reported events for the cited work

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Observation 8f0a80c6-4550-4694-acde-5e53ca50c4d1 · outbound

This paper cites Beyond homophily in graph neural networks: Current limitations and effective designs,.

DeltaGNN: Graph Neural Network with Information Flow Control Beyond homophily in graph neural networks: Current limitations and effective designs,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:51.753317Z

Source-reported events for the cited work

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Observation 5dd553c2-a362-484b-a9d7-222478d2fa80 · outbound

This paper cites Geom-GCN: Geometric Graph Convolutional Networks.

DeltaGNN: Graph Neural Network with Information Flow Control Geom-GCN: Geometric Graph Convolutional Networks

Reference 36

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Observation 7a9c1af0-1347-4473-8d5e-f7b698531421 · outbound

This paper cites Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification.

DeltaGNN: Graph Neural Network with Information Flow Control Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:51.173815Z

Source-reported events for the cited work

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Observation bf2c420b-c417-48c5-8519-9c5ce3df00b1 · outbound

This paper cites NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs.

DeltaGNN: Graph Neural Network with Information Flow Control NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:51.188088Z

Source-reported events for the cited work

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Observation 97feb409-bb29-4816-937d-94b75ff32189 · outbound

This paper cites Automating the construction of internet portals with machine learning,.

DeltaGNN: Graph Neural Network with Information Flow Control Automating the construction of internet portals with machine learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:51.736312Z

Source-reported events for the cited work

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Observation 722d8fc9-8d15-48f3-891d-e9098355064d · outbound

This paper cites Revisiting semi-supervised learning with graph embeddings,.

DeltaGNN: Graph Neural Network with Information Flow Control Revisiting semi-supervised learning with graph embeddings,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:51.715439Z

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Observation d4325afd-4c0b-46ed-a318-454880a1e2ce · outbound

This paper cites Affordable graph neural net- work framework using topological graph contraction,.

DeltaGNN: Graph Neural Network with Information Flow Control Affordable graph neural net- work framework using topological graph contraction,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:51.694569Z

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Observation 8b9efa39-336a-486f-9ac5-797605065238 · outbound

This paper cites Falcon: Feature-label constrained graph net col- lapse for memory-efficient gnns,.

DeltaGNN: Graph Neural Network with Information Flow Control Falcon: Feature-label constrained graph net col- lapse for memory-efficient gnns,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:51.677342Z

Source-reported events for the cited work

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Observation 4bc811e2-1738-48ad-9bd5-9edb3b2d9630 · outbound

This paper cites Deep learning,.

DeltaGNN: Graph Neural Network with Information Flow Control Deep learning,

Reference 43

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Observation 2752f66e-bfb7-4140-b439-e59ca1baea4c · outbound

This paper cites Welford’s algorithm for weighted statistics,.

DeltaGNN: Graph Neural Network with Information Flow Control Welford’s algorithm for weighted statistics,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:51.648627Z

Source-reported events for the cited work

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Observation 1fbfd909-58b6-47b1-8895-3069520bbd1f · outbound

This paper cites Complex network metrics: Can deep learning keep up with tailor-made reference algorithms?.

DeltaGNN: Graph Neural Network with Information Flow Control Complex network metrics: Can deep learning keep up with tailor-made reference algorithms?

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:51.630388Z

Source-reported events for the cited work

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Observation 52e7ffdb-ba43-4a58-8305-53cfc81b76ee · outbound

This paper cites Demystifying structural disparity in graph neural networks: Can one size fit all?.

DeltaGNN: Graph Neural Network with Information Flow Control Demystifying structural disparity in graph neural networks: Can one size fit all?

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:51.609523Z

Source-reported events for the cited work

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Observation e618d0c7-7679-45c9-a64d-aacada64ba72 · outbound

This paper cites Automatic differentiation in pytorch,.

DeltaGNN: Graph Neural Network with Information Flow Control Automatic differentiation in pytorch,

Reference 47

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Source-reported events for the cited work

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Observation 1f90dc70-67f1-487b-beae-d1dddcfc528b · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

DeltaGNN: Graph Neural Network with Information Flow Control Fast Graph Representation Learning with PyTorch Geometric

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:51.236364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.