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Paper Citation Record · LEDGER

MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2201.02534.

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

pith.paper-citation-record.v1
2201.02534 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:58:50.551231Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T21:25:51.577969Z

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 120ef773-3204-48ee-abfa-1565ad88ecf0 · inbound

Disentangled Generative Graph Representation Learning cites this paper.

Disentangled Generative Graph Representation Learning MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:25:51.580727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T21:23:33.474134Z digest=sha256:b166233a3c061b3c7e5687eb18453e41038daf414afa8eb93a08d0e0a29346fd

Observation c4583b99-779a-4414-b638-2102cf4153ae · inbound

Boosting Bot Detection via Heterophily-Aware Representation Learning and Prototype-Guided Cluster Discovery cites this paper.

Boosting Bot Detection via Heterophily-Aware Representation Learning and Prototype-Guided Cluster Discovery MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T11:58:50.551231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:58:50.551231Z digest=sha256:bba9de9bcdd7687a4400453692ca393f6be7fb88d8d52a4098f01f4c9f48886f

Observation 2b5e540e-2a45-4904-af7e-c9a8725782ca · inbound

Evaluating Loss Functions for Graph Neural Networks: Towards Pretraining and Generalization cites this paper.

Evaluating Loss Functions for Graph Neural Networks: Towards Pretraining and Generalization MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T00:26:20.872142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:26:20.872142Z digest=sha256:41e148c13840970964404090a0b6f071cbbaa9a929873b00d3241144ca35d3a9

Observation 884cc15c-4a1b-4049-b959-d6b26e83ee8d · inbound

MirGuard: Towards a Robust Provenance-based Intrusion Detection System Against Graph Manipulation Attacks cites this paper.

MirGuard: Towards a Robust Provenance-based Intrusion Detection System Against Graph Manipulation Attacks MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-05T20:19:49.092433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:19:49.092433Z digest=sha256:dfe26d0961363b65af2aa51b45b418d5f6ec32e7835786d4580d38b574abfc42

Observation 393b6d14-d85d-4160-913c-50bc183dfa53 · inbound

Mesh Based Simulations with Spatial and Temporal awareness cites this paper.

Mesh Based Simulations with Spatial and Temporal awareness MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:46:19.810645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-09T15:00:51.468683Z digest=sha256:130c4f4d7802cdc14ed7e00d5dba3dc821171a1d2f84b74c9fba11263f8f2a9d