Paper Citation Record · LEDGER

GraphMAE: Self-Supervised Masked Graph Autoencoders

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2205.10803.

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

pith.paper-citation-record.v1
2205.10803 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:11:55.500898Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

32
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7f23d7b8-2726-4d1a-9849-438da4bcfc84 · inbound

Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy cites this paper.

Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy GraphMAE: Self-Supervised Masked Graph Autoencoders

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T12:41:32.702899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81b47bd7-9d2f-45f5-9461-8bb1934de629 · inbound

Graph Generative Pre-trained Transformer cites this paper.

Graph Generative Pre-trained Transformer GraphMAE: Self-Supervised Masked Graph Autoencoders

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T22:40:48.756403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b51a2ee7-dfe1-423c-90c7-f1aa3ef86c8e · inbound

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

Rethinking Graph Contrastive Learning through Relative Similarity Preservation GraphMAE: Self-Supervised Masked Graph Autoencoders

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T23:11:55.500898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61c90d17-7d8b-4de3-91a9-395b05a6db80 · inbound

SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning cites this paper.

SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning GraphMAE: Self-Supervised Masked Graph Autoencoders

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:24:21.362387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b1ae72d8-c659-4a5a-9160-f9d6f982a6dd · inbound

Towards foundation-style models for energy-frontier heterogeneous neutrino detectors via self-supervised pre-training cites this paper.

Towards foundation-style models for energy-frontier heterogeneous neutrino detectors via self-supervised pre-training GraphMAE: Self-Supervised Masked Graph Autoencoders

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-10T17:40:39.925804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 820e22f4-a19e-40d6-bbd7-e466f6e5de6d · inbound

Structure-Centric Graph Foundation Model via Geometric Bases cites this paper.

Structure-Centric Graph Foundation Model via Geometric Bases GraphMAE: Self-Supervised Masked Graph Autoencoders

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:56:30.526711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 893b73f2-8a98-4dfe-b883-513ec92fb551 · inbound

Handling Feature Heterogeneity with Learnable Graph Patches cites this paper.

Handling Feature Heterogeneity with Learnable Graph Patches GraphMAE: Self-Supervised Masked Graph Autoencoders

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:08:56.287312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a0a960e5-c1cb-4c07-a852-be8fb60e9f90 · inbound

Toward Federated Multimodal Graph Foundation Models: A Topology-Aware Multimodal Alignment Framework cites this paper.

Toward Federated Multimodal Graph Foundation Models: A Topology-Aware Multimodal Alignment Framework GraphMAE: Self-Supervised Masked Graph Autoencoders

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-01T22:39:17.308370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.