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Paper Citation Record · LEDGER

Large Language Model Enabled Multi-Task Physical Layer Network

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2412.20772.

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

pith.paper-citation-record.v1
2412.20772 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:33:55.708374Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T16:01:34.625655Z

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 6be6907c-e444-40b6-93fa-331bdf67d57e · 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 Large Language Model Enabled Multi-Task Physical Layer Network

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T05:33:55.708374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:55.708374Z digest=sha256:87d754ce9f95e0f1c1e6cc84bf4e24b1905f277408679919e5e91ac2d3659e55

Observation 7f3680bd-bf1f-49e8-b52b-bc6702aea4c0 · inbound

LVM4CSI: Enabling Direct Application of Pre-Trained Large Vision Models for Wireless Channel Tasks cites this paper.

LVM4CSI: Enabling Direct Application of Pre-Trained Large Vision Models for Wireless Channel Tasks Large Language Model Enabled Multi-Task Physical Layer Network

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T19:37:33.211716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:37:33.211716Z digest=sha256:a6ae463caa00d3fcd07cf135f110663ca57c506a87416a4d272585b763e3db21

Observation 48b5d914-d762-44b4-8e82-988936fb4f52 · inbound

A Wireless Foundation Model for Multi-Task Prediction cites this paper.

A Wireless Foundation Model for Multi-Task Prediction Large Language Model Enabled Multi-Task Physical Layer Network

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T19:19:40.106045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:19:40.106045Z digest=sha256:c0a2e676526d03f80be75cc7895dafb282f9764d3a4823d4d0267835d4e5f564

Observation 44f66169-9691-4cc5-940d-85ad5ba5d3ca · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial Large Language Model Enabled Multi-Task Physical Layer Network

Reference 248

Resolution
unresolved
no resolver link, observed 2026-08-05T04:50:32.462707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:50:32.462707Z digest=sha256:ad644b4319d1355d9456fa535215e2e16a71670babdaf551482377fa991b8007

Observation 3503f802-1fc8-4b00-a31f-e3eeb953fb8f · inbound

Modular PE-Structured Learning for Cross-Task Wireless Communications cites this paper.

Modular PE-Structured Learning for Cross-Task Wireless Communications Large Language Model Enabled Multi-Task Physical Layer Network

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T20:27:46.515855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:27:46.515855Z digest=sha256:b72308fb0d6f60ef2172d4d493e867a076aa7fc5070b872f57bf941f2a27bdb9

Observation 105e8f61-e12c-4c45-b8bc-17a93a5f3de7 · inbound

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

BERT4beam: Large AI Model Enabled Generalized Beamforming Optimization Large Language Model Enabled Multi-Task Physical Layer Network

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T17:14:55.970674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:14:55.970674Z digest=sha256:ad13c5f26827a8135ce9c7bce4789e8b512a67542d4b914fed3cceab6b821e12

Observation 6d15635f-35db-4bd6-874c-03ab6ba2ef99 · 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 Large Language Model Enabled Multi-Task Physical Layer Network

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-18T16:01:34.627995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T16:00:10.105362Z digest=sha256:6ea1e64d9d4dfbcfaa04542945b90e765a466cb0f7d7192de2cc713f64151467