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Paper Citation Record · LEDGER

Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.01748.

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

pith.paper-citation-record.v1
2402.01748 v2

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 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:23:57.218728Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:14:07.726347Z

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 0b685523-35ef-43e1-96c5-dd958452c8c9 · inbound

NetOrchLLM: Mastering Wireless Network Orchestration with Large Language Models cites this paper.

NetOrchLLM: Mastering Wireless Network Orchestration with Large Language Models Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T16:23:57.218728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:23:57.218728Z digest=sha256:3b6ac1c10483c87420675cce2584f9a6ac9ebb47f34e8908c1a62a95b8d32ec3

Observation c2415059-c3cc-4f77-9f2b-55494554bc10 · inbound

Foundation Models for CPS-IoT: Opportunities and Challenges cites this paper.

Foundation Models for CPS-IoT: Opportunities and Challenges Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems

Reference 126

Resolution
unresolved
no resolver link, observed 2026-08-10T16:30:41.939900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:30:41.939900Z digest=sha256:9ba8d2172471934f23e0847d18aaff9322a535947b4ca9ca487e02947c564f8a

Observation c4315b46-8f59-464a-9e8d-f929db9065f5 · inbound

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications cites this paper.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems

Reference 75

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:14:07.866044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:13:51.561066Z digest=sha256:2d064d4f744012e4affd65e081bd0338d44cbc3d1472afb63d98a6abfd586275