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Paper Citation Record · LEDGER

AI-native Interconnect Framework for Integration of Large Language Model Technologies in 6G Systems

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.05842.

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

pith.paper-citation-record.v1
2311.05842 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:23:57.237586Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T15:43:32.777579Z

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 d5f61671-4d6a-47c0-96d2-49639fb4de9f · inbound

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

NetOrchLLM: Mastering Wireless Network Orchestration with Large Language Models AI-native Interconnect Framework for Integration of Large Language Model Technologies in 6G Systems

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T16:23:57.237586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:23:57.237586Z digest=sha256:b3405bff68a322d00fc1f40a01f729b657be522182643617a64bc18c2e050b26

Observation 2ef9a774-cde2-4e5b-b3db-f4b388f559cb · inbound

BERT4beam: Large AI Model Enabled Generalized Beamforming Optimization cites this paper.

BERT4beam: Large AI Model Enabled Generalized Beamforming Optimization AI-native Interconnect Framework for Integration of Large Language Model Technologies in 6G Systems

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-04T17:14:54.646653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:14:54.646653Z digest=sha256:2aa0cfc203fd41020d8d6977bca9c29e93a6c7d78af1914937b5d14c82971f58

Observation e831c73a-12fb-40f0-8676-b88824794e92 · inbound

Mapping and Comparing Climate Equity Policy Practices Using RAG LLM-Based Semantic Analysis and Recommendation Systems cites this paper.

Mapping and Comparing Climate Equity Policy Practices Using RAG LLM-Based Semantic Analysis and Recommendation Systems AI-native Interconnect Framework for Integration of Large Language Model Technologies in 6G Systems

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-03T11:23:06.884403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:23:06.884403Z digest=sha256:f6e0cae35758018194cdf534fa50bf5dae6017f40bbc224a299802c752838bcd

Observation f9aeb770-ed81-4fd1-a246-aa7b443c669d · inbound

Autonomic Federated-Market Orchestration for the Edge-Cloud Continuum cites this paper.

Autonomic Federated-Market Orchestration for the Edge-Cloud Continuum AI-native Interconnect Framework for Integration of Large Language Model Technologies in 6G Systems

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-06-29T15:43:32.778951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T15:36:55.494921Z digest=sha256:dd9bcdaf02762971692f37af7818860e5e5a2570ade4af541818fe57a94ee0a1