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Paper Citation Record · LEDGER

Semantic Communication based on Large Language Model for Underwater Image Transmission

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.12616.

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

pith.paper-citation-record.v1
2408.12616 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 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:13:56.037996Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:33:56.408022Z

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 a1047245-6601-4678-9d23-54710f99feba · 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 Semantic Communication based on Large Language Model for Underwater Image Transmission

Reference 120

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:56.037996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:56.037996Z digest=sha256:63270c759c870762c673eaa4a9affd80d9606b42b310b3301e0a0aa2ca8cb1b6

Observation b42e2458-6800-4c4c-8af4-cd6694ed6ce1 · inbound

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration cites this paper.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Semantic Communication based on Large Language Model for Underwater Image Transmission

Reference 82

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:33:56.411570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:55.739312Z digest=sha256:6792a2f1c6eb48b82e67460b207886054deddac22ac91d8191f9ba74f9611164

Observation 137e6835-548f-445d-b977-c4e2e29e56a7 · inbound

Generalized User-Oriented Image Semantic Coding Empowered by Large Vision-Language Model cites this paper.

Generalized User-Oriented Image Semantic Coding Empowered by Large Vision-Language Model Semantic Communication based on Large Language Model for Underwater Image Transmission

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T20:02:45.082506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:02:45.082506Z digest=sha256:927978f11e92d112a560fc87c3d9d7554d5a2da15093b512983e5eadad5ce879