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Paper Citation Record · LEDGER

Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach

As of 20 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2505.09141.

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

pith.paper-citation-record.v1
2505.09141 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:42:22.506185Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc9ada71-4c5f-409b-981c-1c99be840dba · outbound

This paper cites A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications,.

Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:42:22.741559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1569c9a7-4098-4b29-a74b-118230b4b526 · outbound

This paper cites Addressing the curse of mobility in massive MIMO with prony-based angular-delay domain channel predictions,.

Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach Addressing the curse of mobility in massive MIMO with prony-based angular-delay domain channel predictions,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:42:22.729656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:42:22.457445Z digest=sha256:6302bef45603d579163027daa6c2997b0f7229cd702bf2da7d0ca93c50a58590

Observation c6d4951d-6924-4c1e-b1b4-2a001840baed · outbound

This paper cites LLM4CP: Adapting large language models for channel prediction,.

Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach LLM4CP: Adapting large language models for channel prediction,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T21:42:22.461685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:42:22.461685Z digest=sha256:b1956b68a7811327694dd89c435f1e6db453d471206b675a68ce8e0aba1fc432

Observation 609a155d-9288-4d58-b3f5-9aad92e5d819 · outbound

This paper cites Accurate channel prediction based on transformer: Making mobility negligible,.

Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach Accurate channel prediction based on transformer: Making mobility negligible,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T21:42:22.465826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:42:22.465826Z digest=sha256:449bf24399aef02f6b7da730d3f2e2b15cc832cfdc6f356273697565b299df9a

Observation 25f0908a-1d02-4776-8b70-feaf1adc5912 · outbound

This paper cites Spatio- temporal neural network for channel prediction in massive MIMO- OFDM systems,.

Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach Spatio- temporal neural network for channel prediction in massive MIMO- OFDM systems,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:42:22.704097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:42:22.469885Z digest=sha256:e5a9cd15879dd3ab30d1270acab67e2b2d575a94144c115a7cb2c330e37ff8a1

Observation 049ee1ff-8edc-41e1-9da7-52a259ecf3f3 · outbound

This paper cites Integrated sensing and communications: Toward dual-functional wire- less networks for 6G and beyond,.

Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach Integrated sensing and communications: Toward dual-functional wire- less networks for 6G and beyond,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T21:42:22.474356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:42:22.474356Z digest=sha256:dd5c1ee028b5058ad3f165886dfac2498506b3eb16736aad6002d40ff7dbfefb

Observation f6c4c412-a530-4815-b078-08c905a42050 · outbound

This paper cites Sensing-assisted sparse channel recovery for massive antenna systems,.

Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach Sensing-assisted sparse channel recovery for massive antenna systems,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:42:22.685274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:42:22.477988Z digest=sha256:b7e33054fb2fddf29159182da5c4883ddc6522eba106d3dc0597630923032089

Observation 94b37b8d-cbe6-48a8-9b6a-7d321ff8df9f · outbound

This paper cites Radar-assisted predictive beamforming for vehicular links: Communication served by sensing,.

Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach Radar-assisted predictive beamforming for vehicular links: Communication served by sensing,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:42:22.674519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:42:22.481508Z digest=sha256:b514dff5d1f7b1c2a34f860f1de54732f70ec44973b8d8b8ce8ac1ca056c5f58

Observation 906ab4d0-41b6-495f-8efb-b4c27aa152b8 · outbound

This paper cites Sensing-assisted predictive beamforming with multipath echo signals,.

Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach Sensing-assisted predictive beamforming with multipath echo signals,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T21:42:22.484502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:42:22.484502Z digest=sha256:27242239aa3c9ab775d1343b38b30f86d5c797aeace9b6d4c2949a5e208f8ea4

Observation 28e7687a-4677-48c0-8264-e9ee4137bb99 · outbound

This paper cites Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review.

Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T21:42:22.487550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:42:22.487550Z digest=sha256:9e2b8e26416b71d2a1ef1a961ee20e280728006dc2454133c800cd3ef88fc1c2

Observation 5abb56e5-f285-41e7-95e9-d66c5fad7927 · outbound

This paper cites Time-LLM: Time series forecasting by reprogramming large language models,.

Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach Time-LLM: Time series forecasting by reprogramming large language models,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:42:22.659400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:42:22.491159Z digest=sha256:a06e4340f8767189a406503b46759de183ad841c781918363dfdd941702ccb9c

Observation 27eefbf0-39a4-4b05-9ba5-ecbd1002c13e · outbound

This paper cites Goldsmith,Wireless Communications.

Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach Goldsmith,Wireless Communications

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T21:42:22.495034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:42:22.495034Z digest=sha256:a94c33cd2703a012c620c143f837212ea789f1b4d389f175e652aded9e0fde09

Observation 6163a1bd-028b-40fc-ac28-c4b57fd42474 · outbound

This paper cites Sionna: An Open-Source Library for Next-Generation Physical Layer Research.

Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T21:42:22.498579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:42:22.498579Z digest=sha256:da3f56e9b014c612926684892daec6d7e11402c4e1c93052607c59e5c7c9acd2

Observation f17e1419-ae22-4754-81f9-f8a984dc4623 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T21:42:22.502669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:42:22.502669Z digest=sha256:fee74eb010c968eab7de9566a3419da84bd343baf793461a36b97fb953487155

Observation 402681c4-00ec-4e95-9b85-12780f16e806 · outbound

This paper cites Language models are unsupervised multitask learners,.

Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach Language models are unsupervised multitask learners,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T21:42:22.506185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:42:22.506185Z digest=sha256:a7b103d5fdf8dd3a368c77febe59f2e98c08e975d421b3034fec8f476bcbc9fe

Pith citing papers

No inbound Pith citation observations are available.