Paper Citation Record · LEDGER

Beam Prediction based on Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.08707.

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

pith.paper-citation-record.v1
2408.08707 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:22:35.938541Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:09:36.506494Z

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 e9463bcc-1d0c-4f37-a1ae-99d0e6eed2c4 · inbound

Port-LLM: A Port Prediction Method for Fluid Antenna based on Large Language Models cites this paper.

Port-LLM: A Port Prediction Method for Fluid Antenna based on Large Language Models Beam Prediction based on Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T20:22:35.938541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1af837ff-dc68-4483-a82a-3c3d4e0d84eb · inbound

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

BERT4beam: Large AI Model Enabled Generalized Beamforming Optimization Beam Prediction based on Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T17:14:55.680510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86b13daf-0cdc-44a7-94dd-035a49c08b8a · inbound

RadarPLM: Adapting Pre-trained Language Models for Marine Radar Target Detection by Selective Fine-tuning cites this paper.

RadarPLM: Adapting Pre-trained Language Models for Marine Radar Target Detection by Selective Fine-tuning Beam Prediction based on Large Language Models

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:01:34.619093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d38a1061-aba6-4729-9c5b-fb2ea38e80ca · inbound

Agentic Link Construction for Environment and Intent Aware 6G Communication cites this paper.

Agentic Link Construction for Environment and Intent Aware 6G Communication Beam Prediction based on Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:45:33.137862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 603d7bd2-6ecf-4235-b756-d87fa5bd1aba · inbound

ConsisFormer: Compute-Efficient Transformer for Wireless Foundation Models Based on Channel Consistency cites this paper.

ConsisFormer: Compute-Efficient Transformer for Wireless Foundation Models Based on Channel Consistency Beam Prediction based on Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:09:36.508467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.