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Paper Citation Record · LEDGER

Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.11048.

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

pith.paper-citation-record.v1
2406.11048 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:18:28.931098Z

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

0
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 ae815758-881c-4a60-98d5-eee2f411133c · inbound

FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models cites this paper.

FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T04:18:28.931098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:18:28.931098Z digest=sha256:952893660237ee47d7e1efac61ec4a89c6b9342c89459bf36491d6b1a4302b87

Observation b4e1f641-4379-4b37-b93c-d3e9b0a9ab6c · inbound

Towards Modality-imbalanced Federated Graph Learning: A Data Synthesis-based Approach cites this paper.

Towards Modality-imbalanced Federated Graph Learning: A Data Synthesis-based Approach Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-26T18:19:40.847857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T18:17:12.794047Z digest=sha256:9998bfa6c553380b93d3025a3c170f07d62d39685f12ff04f41186e215b07391