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Paper Citation Record · LEDGER

SIGN: Scalable Inception Graph Neural Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2004.11198.

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

pith.paper-citation-record.v1
2004.11198 v3

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 2026-08-09T06:31:02.800959+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:23:03.372461Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:59:52.011828Z

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 c52c7df0-2570-4f66-9675-c0a945d5d696 · inbound

Temporal Graph Networks for Deep Learning on Dynamic Graphs cites this paper.

Temporal Graph Networks for Deep Learning on Dynamic Graphs SIGN: Scalable Inception Graph Neural Networks

Reference 140

Resolution
verified exact
arxiv_id, observed 2026-05-17T17:04:50.317160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-17T17:04:50.111090Z digest=sha256:bad540d06bb7991e7bf1baee9a01efb0402ec6a2be8e61ed97048799403eeb58

Observation 744996fe-56e6-4710-a695-c5dc9993122e · inbound

HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations cites this paper.

HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations SIGN: Scalable Inception Graph Neural Networks

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T15:23:03.372461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:23:03.372461Z digest=sha256:064e3324ec326e880511da1e05378d603b7a095a9615214e63bf298a655a0c65

Observation 670a69d7-58ca-47b5-8e1a-f783f6c50f32 · inbound

Transaction Categorization with Relational Deep Learning in QuickBooks cites this paper.

Transaction Categorization with Relational Deep Learning in QuickBooks SIGN: Scalable Inception Graph Neural Networks

Reference 10

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unresolved
no resolver link, observed 2026-08-07T05:00:55.485694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:00:55.485694Z digest=sha256:f57deaaf65cfb0185274dbce6648f5acc38dd67d3914e78ee08dbaae0f03419c

Observation 05abfcd5-b55b-4272-932e-6d241e48c083 · inbound

Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach cites this paper.

Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach SIGN: Scalable Inception Graph Neural Networks

Reference 34

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unresolved
no resolver link, observed 2026-08-07T00:42:11.097556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:42:11.097556Z digest=sha256:a62f8a56ffb8591235383e6d0e774ea5dd30735b64d5d0e72d1bca75d31ac22e

Observation 7b604f70-ce36-4a38-bf11-74ce36a82ca5 · inbound

FedSA-GCL: A Semi-Asynchronous Federated Graph Learning Framework with Personalized Aggregation and Cluster-Aware Broadcasting cites this paper.

FedSA-GCL: A Semi-Asynchronous Federated Graph Learning Framework with Personalized Aggregation and Cluster-Aware Broadcasting SIGN: Scalable Inception Graph Neural Networks

Reference 35

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unresolved
no resolver link, observed 2026-08-06T14:43:05.350087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:43:05.350087Z digest=sha256:73526997d8f92001944035fc5fb42a30dc043f42678acdb8d6904d5946189079

Observation ce30729c-07e2-4ea5-8c24-15cbe411c421 · inbound

Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning cites this paper.

Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning SIGN: Scalable Inception Graph Neural Networks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T19:22:02.356335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:22:02.356335Z digest=sha256:0b2971a55036ddd93c5c1786ee43eb4ce346080a65f2d1baac7aa38c00e7f04c

Observation 0b261f86-2fcc-4b8d-ae9e-3aa2bc01813b · inbound

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

No Need to Train Your RDB Foundation Model SIGN: Scalable Inception Graph Neural Networks

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T23:33:31.322398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:33:31.322398Z digest=sha256:dddf4b468727fc8f156957348367563d237e39cbac2b57d33bed481af7f3a4a4

Observation fffc67d1-e249-4c68-9a07-a1e403f50d7f · inbound

AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation cites this paper.

AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation SIGN: Scalable Inception Graph Neural Networks

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-15T21:31:39.367252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T21:30:43.925179Z digest=sha256:c7a91a5844d763224bf23688bfb922c0f15140719b6b2ac090712595489e07ac

Observation 5b838abc-1e25-4e2a-a6f9-5c9226d88de8 · inbound

Operational Feature Fingerprints of Graph Datasets via a White-Box Signal-Subspace Probe cites this paper.

Operational Feature Fingerprints of Graph Datasets via a White-Box Signal-Subspace Probe SIGN: Scalable Inception Graph Neural Networks

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:21:08.636335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T12:10:02.120989Z digest=sha256:0c23337698c09840330e7d2a9cbc09f179904864e174901d318b87941f8ea41f

Observation e6ed7911-fe34-4cde-b12e-436b4ddf018e · inbound

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks cites this paper.

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks SIGN: Scalable Inception Graph Neural Networks

Reference 166

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:46:06.586336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-09T15:09:03.417040Z digest=sha256:d6b7cc7ffa47b36168617fefcda67b46de2e8f54ce031fd21115833c73fb0fec

Observation a90ef881-6c91-432e-9905-71e507614c31 · inbound

Hierarchical Multi-Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation cites this paper.

Hierarchical Multi-Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation SIGN: Scalable Inception Graph Neural Networks

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:57:22.406311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T05:57:17.440810Z digest=sha256:dfe48e0a59acd6e0969dcca554df6c59b8f82272a967dbd638a7deb176427741

Observation ee4d57c1-d5d9-4beb-b4b6-e0420c551a61 · inbound

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation cites this paper.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation SIGN: Scalable Inception Graph Neural Networks

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:57:06.236741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T01:52:23.038362Z digest=sha256:9029d5fcabcf87cc29a13577b41d6120ee9037d402d3dad2a3abfe085b9fafa9

Observation 9408a24b-4833-45da-bd2f-494548ddb210 · inbound

Revisiting Pre-Propagation GNNs: Robust Diffusion Operators and Hidden-State Re-Propagation cites this paper.

Revisiting Pre-Propagation GNNs: Robust Diffusion Operators and Hidden-State Re-Propagation SIGN: Scalable Inception Graph Neural Networks

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:34:39.565165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T12:07:38.327721Z digest=sha256:068b351d27c0148d4608c0d1048ddcd9a4859d50973dd9d789daabcc9744d3f7

Observation 2a6d1aa4-8ede-46dd-a7d8-4aec3a1b44d7 · inbound

Gate the Filter, Not the Message: Node-Channel Mixtures for Pre-Propagation GNNs cites this paper.

Gate the Filter, Not the Message: Node-Channel Mixtures for Pre-Propagation GNNs SIGN: Scalable Inception Graph Neural Networks

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T22:16:16.210046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T15:36:27.182300Z digest=sha256:8b58a63b23c8e6905bf0a8438092d73bb1a2337286fa5503ab5564bd346da605

Observation 8b0c151a-9891-4892-a309-252f9f56080d · inbound

Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation cites this paper.

Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation SIGN: Scalable Inception Graph Neural Networks

Reference 131

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:49:41.986158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T10:59:25.867813Z digest=sha256:be5bb5d2a1aab1e335a9d526f4a6d66cd2486a7eab51c6333073ba491d6fba3b

Observation e1bb63d6-152a-4c91-939f-63d67184aca1 · inbound

TGHE: Template-based Graph Homomorphic Encryption for Privacy-Preserving GNN Inference in Edge-Cloud Systems cites this paper.

TGHE: Template-based Graph Homomorphic Encryption for Privacy-Preserving GNN Inference in Edge-Cloud Systems SIGN: Scalable Inception Graph Neural Networks

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:59:52.013544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T04:45:51.759131Z digest=sha256:3aa1e8b619fc524763ea1b0efd03988137a63d72f38125c0bcf9098cd2e7de7a

Observation 522479d6-d8ba-4be8-b9d5-a2bab1414a8d · inbound

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning cites this paper.

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning SIGN: Scalable Inception Graph Neural Networks

Reference 116

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metadata mismatch
arxiv_id, observed 2026-07-01T09:45:40.654839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-01T06:10:26.634933Z digest=sha256:44cf06b14c2bc00b7e39d52d5ad45f06483c3178d08cd780e3d573d999ca36f0

Observation a43f6185-727d-4ab1-be0d-4bc8378ee071 · inbound

When does distribution shift break graph neural networks calibration? cites this paper.

When does distribution shift break graph neural networks calibration? SIGN: Scalable Inception Graph Neural Networks

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-14T09:09:45.167581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:09:45.167581Z digest=sha256:ad6ddb6a2ad9249bd00f35f02af57c0de9ec3ba1d36940eafefe3869073ff2db