Paper Citation Record · LEDGER

Large-Scale Representation Learning on Graphs via Bootstrapping

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2102.06514.

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

pith.paper-citation-record.v1
2102.06514 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:31:39.503774Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T21:25:51.554398Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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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 4b940852-f563-4bf2-b58f-6bfdb295638b · inbound

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges cites this paper.

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges Large-Scale Representation Learning on Graphs via Bootstrapping

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:39:29.983736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2fede48f-ae1b-4834-8268-17dcd7b0d589 · inbound

Disentangled Generative Graph Representation Learning cites this paper.

Disentangled Generative Graph Representation Learning Large-Scale Representation Learning on Graphs via Bootstrapping

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:25:51.557351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 80cfadde-6f4f-4700-8a49-8d5ca8f2fe86 · inbound

Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model cites this paper.

Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model Large-Scale Representation Learning on Graphs via Bootstrapping

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T15:24:14.005978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45f9da46-00f7-44a6-8aad-cbd0064a0d5d · inbound

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning cites this paper.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Large-Scale Representation Learning on Graphs via Bootstrapping

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T18:05:41.037037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4ffa834-bd89-4e94-9df9-8102be671807 · inbound

Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection cites this paper.

Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection Large-Scale Representation Learning on Graphs via Bootstrapping

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T12:31:39.503774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97f19f52-3916-448a-81c6-71fc8063c87e · inbound

Graffe: Graph Representation Learning via Diffusion Probabilistic Models cites this paper.

Graffe: Graph Representation Learning via Diffusion Probabilistic Models Large-Scale Representation Learning on Graphs via Bootstrapping

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T23:23:46.395298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 773df7e6-56c1-46e3-a954-2ae3bf3c8f0c · inbound

Rethinking Graph Contrastive Learning through Relative Similarity Preservation cites this paper.

Rethinking Graph Contrastive Learning through Relative Similarity Preservation Large-Scale Representation Learning on Graphs via Bootstrapping

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T23:11:55.647745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b726d2d7-f2d0-473c-9cb5-20590fee01ca · inbound

InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning cites this paper.

InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning Large-Scale Representation Learning on Graphs via Bootstrapping

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T23:42:32.611979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 548e7680-4355-4bde-bfd0-9c0afa3c12ef · inbound

Relation-Aware Graph Foundation Model cites this paper.

Relation-Aware Graph Foundation Model Large-Scale Representation Learning on Graphs via Bootstrapping

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:48:05.597667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb1953ee-3147-471a-a21c-d47977c69a9e · inbound

Learn Beneficial Noise as Graph Augmentation cites this paper.

Learn Beneficial Noise as Graph Augmentation Large-Scale Representation Learning on Graphs via Bootstrapping

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:34.915423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ea44f9b-f2eb-402c-a8f0-9ae2086bdd87 · inbound

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions cites this paper.

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions Large-Scale Representation Learning on Graphs via Bootstrapping

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-07T05:17:17.156329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02f58d42-3f17-4f44-96e5-734eb1124ebc · inbound

Global Context-aware Representation Learning for Spatially Resolved Transcriptomics cites this paper.

Global Context-aware Representation Learning for Spatially Resolved Transcriptomics Large-Scale Representation Learning on Graphs via Bootstrapping

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:17:30.321492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f7b85bc-653b-42cf-95ee-9a0058a27c03 · inbound

Exploring Semantic Clustering and Similarity Search for Heterogeneous Traffic Scenario Graph cites this paper.

Exploring Semantic Clustering and Similarity Search for Heterogeneous Traffic Scenario Graph Large-Scale Representation Learning on Graphs via Bootstrapping

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T19:38:33.489988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 425fb637-23a1-4d39-9398-649ae55b90b0 · inbound

CRoC: Context Refactoring Contrast for Graph Anomaly Detection with Limited Supervision cites this paper.

CRoC: Context Refactoring Contrast for Graph Anomaly Detection with Limited Supervision Large-Scale Representation Learning on Graphs via Bootstrapping

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T17:26:08.280909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe6b8eec-d1aa-43fe-ac2c-e12cfcd7916e · inbound

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning cites this paper.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Large-Scale Representation Learning on Graphs via Bootstrapping

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T14:36:36.448194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e7e472d-27c5-4b70-97a9-087ec925cf21 · inbound

A Graph Foundation Model for Wireless Resource Allocation cites this paper.

A Graph Foundation Model for Wireless Resource Allocation Large-Scale Representation Learning on Graphs via Bootstrapping

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:35:52.884641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 79fb57e2-6dc1-4091-b309-11f02eccfd25 · 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 Large-Scale Representation Learning on Graphs via Bootstrapping

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:59:38.635035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.