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Paper Citation Record · LEDGER

Rethinking Generative Semantic Communication for Multi-User Systems with Large Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.08765.

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

pith.paper-citation-record.v1
2408.08765 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:50:24.831265Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T15:54:54.435986Z

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 a867d11c-8918-48bc-a4f2-a1d0c30954aa · inbound

Efficient Multi-user Offloading of Personalized Diffusion Models: A DRL-Convex Hybrid Solution cites this paper.

Efficient Multi-user Offloading of Personalized Diffusion Models: A DRL-Convex Hybrid Solution Rethinking Generative Semantic Communication for Multi-User Systems with Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T14:00:55.473722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:00:55.473722Z digest=sha256:7d555736c942431ec7d0773f1c112dd6acd58febcd96fe4ebc2827492adab46b

Observation 6978009d-1b29-4344-aeb6-0401d91e1664 · inbound

Separate Source Channel Coding Is Still What You Need: An LLM-based Rethinking cites this paper.

Separate Source Channel Coding Is Still What You Need: An LLM-based Rethinking Rethinking Generative Semantic Communication for Multi-User Systems with Large Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T21:43:04.584179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:43:04.584179Z digest=sha256:92187070c4a320b645743c636a4a93b1e28cf297211d5b90d547a5f70e92c1c4

Observation 861219b9-10f3-46ba-939d-268fde7a4158 · inbound

Multi-Agent Collaboration Mechanisms: A Survey of LLMs cites this paper.

Multi-Agent Collaboration Mechanisms: A Survey of LLMs Rethinking Generative Semantic Communication for Multi-User Systems with Large Language Models

Reference 145

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:54:54.441476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T15:54:54.146003Z digest=sha256:c888a58b5f89813bf702ee28f6e07ed8e42da1f03466cabc8c2b6276ce4e2dce

Observation 7d4bc5aa-1c9a-45e6-b13e-57f1d58b8532 · inbound

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges cites this paper.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Rethinking Generative Semantic Communication for Multi-User Systems with Large Language Models

Reference 176

Resolution
unresolved
no resolver link, observed 2026-08-15T23:50:24.831265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:50:24.831265Z digest=sha256:e7b09241865ae7fafb3e03b493591335d684dc76986a720ddfd6372a6f0bf3b4

Observation 72805298-d76e-4300-86b7-0d05a609bf20 · inbound

Chain-of-Thought for Large Language Model-empowered Wireless Communications cites this paper.

Chain-of-Thought for Large Language Model-empowered Wireless Communications Rethinking Generative Semantic Communication for Multi-User Systems with Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T13:15:19.982214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:15:19.982214Z digest=sha256:39ba3453a91cf03c82218bb2d1a06c2d3b91106eaef20aff5efba0065e34d439

Observation d08b0499-6389-4c18-a5c0-f3814bdb244b · inbound

Large-Scale Model Enabled Semantic Communication Based on Robust Knowledge Distillation cites this paper.

Large-Scale Model Enabled Semantic Communication Based on Robust Knowledge Distillation Rethinking Generative Semantic Communication for Multi-User Systems with Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T05:13:31.939378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:13:31.939378Z digest=sha256:895ff062739cff57f76193dc8e648ba78dce0a916835f2159d337a0d52ce3fe0