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Paper Citation Record · LEDGER

Multiplex Graph Networks for Multimodal Brain Network Analysis

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2108.00158.

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

pith.paper-citation-record.v1
2108.00158 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:39:16.676802Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:45:40.573329Z

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 ea55bc84-078f-442d-8c54-75dc74d538bd · inbound

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

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning Multiplex Graph Networks for Multimodal Brain Network Analysis

Reference 200

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:45:40.574749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-07-01T06:10:26.634933Z digest=sha256:675c10f7ca4b931f5f4ed660be8e2e66be50e423344537d3c4e940289070af45

Observation b238a41d-337e-41ff-96dc-54c355b81f5f · 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 Multiplex Graph Networks for Multimodal Brain Network Analysis

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-01T22:39:16.676802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:39:16.676802Z digest=sha256:b37231ed71a71d976c992215b1a7536a60f710c515a06dec62620f52f2c58cc3

Observation 699222f4-4259-4966-bb05-16a36e288eeb · inbound

FedOGL: Combating Catastrophic Forgetting in Federated Open-World Multimodal Graph Learning cites this paper.

FedOGL: Combating Catastrophic Forgetting in Federated Open-World Multimodal Graph Learning Multiplex Graph Networks for Multimodal Brain Network Analysis

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T03:46:17.297939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:46:17.297939Z digest=sha256:554a1a92c16ffd229edb55ce8f0ebc649260d04f1aef73eaaf9ee634a1b821ac