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Paper Citation Record · LEDGER

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model

As of 20 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 3 inbound Pith citation observations for arXiv:2602.04126.

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

pith.paper-citation-record.v1
2602.04126 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T14:50:08.124206Z

measured 28 of 28 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T00:11:57.999438Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T14:47:03.918658Z

Reference resolution

25 of 25 outbound references displayed

  • verified exact0
  • verified fuzzy23
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cca34261-3c27-4bcc-a321-414afa6e2c62 · outbound

This paper cites The most common ap- proach to obtain CSI is pilot-based channel estimation, where a pilot sequence is transmitted along with the data [2–4].

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model The most common ap- proach to obtain CSI is pilot-based channel estimation, where a pilot sequence is transmitted along with the data [2–4]

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.393898Z

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=2026-05-21T14:50:08.124206Z digest=sha256:af8af9d286ec89ce0ccdb63866a0e53e8ef550d6161cf51a87759bbb2e1f8fad

Observation d2a5565a-6328-4e00-9fc8-7460e8e41614 · outbound

This paper cites Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model

Reference 2

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metadata mismatch
local_arxiv, observed 2026-05-21T14:50:15.279086Z

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=2026-05-21T14:50:08.124206Z digest=sha256:9b3a312a95e559a72dcaf934d805732b0e5e83efaa26417feec27b109450f41d

Observation d1969c19-c5e0-49f7-a06c-0f59f6378d06 · outbound

This paper cites However, inaccurately decoded symbols de- grade performance, it is essential to select only reliable sym- bols as the additional pilot.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model However, inaccurately decoded symbols de- grade performance, it is essential to select only reliable sym- bols as the additional pilot

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.455242Z

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=2026-05-21T14:50:08.124206Z digest=sha256:4df6e7d4a5cf49228c923247acbff33620ff6e054c4e8b38973da669da7b0094

Observation d7006d13-ee41-4c20-852c-026190f7aa40 · outbound

This paper cites x(M) p ]and the semantic pilot xs = [x (1) s , x(2) s.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model x(M) p ]and the semantic pilot xs = [x (1) s , x(2) s

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.443271Z

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=2026-05-21T14:50:08.124206Z digest=sha256:ff69c893993f4143cffd128488d09bb2363b5edefe4b0349ae0f9aefce2a808d

Observation a7b88ba3-2eae-49f3-8629-6b50b3921601 · outbound

This paper cites Simulation Settings To evaluate the proposed model, we use the Europarl dataset.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model Simulation Settings To evaluate the proposed model, we use the Europarl dataset

Reference 5

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verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.440553Z

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=2026-05-21T14:50:08.124206Z digest=sha256:42305a8638ccc6226cf7f4433422b4a96471546a369fa1f2f79e1adbf186ef73

Observation 278b06e9-92dd-42d9-8a0e-a2cc847fcb0f · outbound

This paper cites The text is encoded using 6-bit fixed-length source coding, and modulated with quadrature phase shift keying (QPSK).

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model The text is encoded using 6-bit fixed-length source coding, and modulated with quadrature phase shift keying (QPSK)

Reference 6

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verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.402989Z

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=2026-05-21T14:50:08.124206Z digest=sha256:f227dbb95d0873646443095054b4006cab4bbbd86e7205d366bf0c3330a703a9

Observation 1f3c0727-d308-47fe-bb59-c2f912b489aa · outbound

This paper cites The semantic pilot is identified by comparing the initially decoded text with its LLM-corrected version.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model The semantic pilot is identified by comparing the initially decoded text with its LLM-corrected version

Reference 7

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verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.435122Z

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=2026-05-21T14:50:08.124206Z digest=sha256:1e9f3148b9c0e45c373855eb332ad7ca8619da62e4b8110dd5d94fcda4fb85ce

Observation 613e5024-e152-4812-ad0f-5a28d91c2f4f · outbound

This paper cites an unresolved cited work.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model Unresolved cited work

Reference 8

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unresolved
raw_fallback, observed 2026-05-21T14:50:15.405706Z

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=2026-05-21T14:50:08.124206Z digest=sha256:f1bc4f9ff40517f675929a825aef21acbb056e05a45c26f31e42c8d41c48d655

Observation 31838783-99ec-439e-9724-c07aa4e1e5e9 · outbound

This paper cites Fading channels: how per- fect need “perfect side information.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model Fading channels: how per- fect need “perfect side information

Reference 9

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verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.422943Z

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=2026-05-21T14:50:08.124206Z digest=sha256:50855382b6503eb5091fc0ccf7086fea612a2379861066ca8256de53937d00eb

Observation 6573c2ea-3ee0-4f25-b82a-a6f99a9fee5b · outbound

This paper cites Robust chan- nel estimation for OFDM systems with rapid dispersive fading channels.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model Robust chan- nel estimation for OFDM systems with rapid dispersive fading channels

Reference 10

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verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.408804Z

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=2026-05-21T14:50:08.124206Z digest=sha256:a160f1490d7824e1678977e5e11a4fe561a76f5b283d37f85c0d7eeb404fa357

Observation bd26d93c-68cb-4d62-a837-b2391b4fd4ae · outbound

This paper cites Chan- nel estimation techniques based on pilot arrangement in OFDM systems.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model Chan- nel estimation techniques based on pilot arrangement in OFDM systems

Reference 11

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verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.451814Z

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=2026-05-21T14:50:08.124206Z digest=sha256:e9d74008307388c7923936e3a2025ca63467bd62bf3c0ff412a0981b16f125ee

Observation 945c71dc-b71c-4e82-8c4d-96544d827a77 · outbound

This paper cites Pilot-symbol-aided channel estimation for ofdm in wireless systems.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model Pilot-symbol-aided channel estimation for ofdm in wireless systems

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.431915Z

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=2026-05-21T14:50:08.124206Z digest=sha256:f2a4a025c91516de1394186a50e65b853edc20f2f6df735487173d9e42815c4a

Observation b6267397-9cdd-4a5e-aa9b-d9f360e45bbf · outbound

This paper cites Data-derived iterative channel estimation with channel tracking for a mobile fourth generation wide area ofdm system.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model Data-derived iterative channel estimation with channel tracking for a mobile fourth generation wide area ofdm system

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.400106Z

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=2026-05-21T14:50:08.124206Z digest=sha256:6189564aa0379012d9dcffd3a32132a7a1dd5e1d1d3405e6af7dc3de646f92d8

Observation 8be53535-340e-4c46-89de-f34b9d27625e · outbound

This paper cites Data-aided channel estimation in large antenna systems.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model Data-aided channel estimation in large antenna systems

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.397021Z

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=2026-05-21T14:50:08.124206Z digest=sha256:591866ba27550962d91781bfa56812969fb60c5f8d9722b6c85f500b98b3869d

Observation e44b487d-f470-4407-a72c-1d108bdfec95 · outbound

This paper cites Data-aided LS channel estimation in massive MIMO turbo-receiver.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model Data-aided LS channel estimation in massive MIMO turbo-receiver

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.420457Z

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=2026-05-21T14:50:08.124206Z digest=sha256:c5d2a56139dd25ed6c4fb810d51b177572db9899fb0de263d183c4fecf081ba3

Observation 2235bb6a-1beb-4490-b052-75683d9f5785 · outbound

This paper cites Data-aided channel estimation uti- lizing gaussian mixture models.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model Data-aided channel estimation uti- lizing gaussian mixture models

Reference 16

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verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.437901Z

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=2026-05-21T14:50:08.124206Z digest=sha256:a4890778c01a385cfe59dfb5ffb32fc8b38a1ee0db29df0f6d960173150f321b

Observation ccab5cb8-fc16-4bd5-a947-583327ff4968 · outbound

This paper cites Decision- directed hybrid RIS channel estimation with minimal pi- lot overhead.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model Decision- directed hybrid RIS channel estimation with minimal pi- lot overhead

Reference 17

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verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.461292Z

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=2026-05-21T14:50:08.124206Z digest=sha256:7338dfb01e96bc2c924ef348eb0f410b9ce95f0ecba991089af89ead4076945b

Observation c5e85717-55e5-4e98-9058-a8055f1bdba3 · outbound

This paper cites It- erative channel estimation using virtual pilot signals for MIMO-OFDM systems.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model It- erative channel estimation using virtual pilot signals for MIMO-OFDM systems

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.417421Z

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=2026-05-21T14:50:08.124206Z digest=sha256:86a9c511b650cb106604262211eb6f2e06c1a5580b37eb6dfade5e7649270172

Observation b6bebf16-b8a8-42e5-b8d4-5a8ac5e9722d · outbound

This paper cites Data-aided channel estimator for MIMO systems via reinforcement learning.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model Data-aided channel estimator for MIMO systems via reinforcement learning

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.445787Z

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=2026-05-21T14:50:08.124206Z digest=sha256:8e91512db9cb1b15457fbb1b36f2879d1f9da45da47b788067b5ace2e86506f4

Observation 5342271b-25d0-4871-bdf2-8e78bc4978a3 · outbound

This paper cites Semi-data-aided channel estimation for MIMO systems via reinforcement learn- ing.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model Semi-data-aided channel estimation for MIMO systems via reinforcement learn- ing

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.411691Z

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=2026-05-21T14:50:08.124206Z digest=sha256:8ec9d99b75b94b3beead4c96cc208edcc14cbefd9b1410138ebce45623f226d4

Observation 283759c6-e878-448c-bac0-488abec57830 · outbound

This paper cites Large language model enhanced multi-agent systems for 6G communications.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model Large language model enhanced multi-agent systems for 6G communications

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.458306Z

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=2026-05-21T14:50:08.124206Z digest=sha256:bbda5352785da75c4995a2af5905ce9fef7874bfb5cb07aa8d6b7a6eed74f156

Observation dc5e5359-3090-44ad-a683-8f0db2272a0c · outbound

This paper cites Large language model (LLM) for telecommunications: A comprehensive survey on prin- ciples, key techniques, and opportunities.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model Large language model (LLM) for telecommunications: A comprehensive survey on prin- ciples, key techniques, and opportunities

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.449015Z

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=2026-05-21T14:50:08.124206Z digest=sha256:59cd99ff113c679001eca13c194e4b2bdd7ee0d02d17113cc8b317a040794ead

Observation 3dc10bea-0b14-45c1-8c21-58bfded47fe1 · outbound

This paper cites Large language model based multi- objective optimization for integrated sensing and com- munications in uav networks.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model Large language model based multi- objective optimization for integrated sensing and com- munications in uav networks

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.429060Z

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=2026-05-21T14:50:08.124206Z digest=sha256:e57829b02db1734e4a72ac7743d8c6f4acc31aa9eb6c9f23ece631667c458a1a

Observation 0ae71f82-9580-4061-a0d3-95b924126dec · outbound

This paper cites LaMoSC: Large language model-driven se- mantic communication system for visual transmission.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model LaMoSC: Large language model-driven se- mantic communication system for visual transmission

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.425979Z

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=2026-05-21T14:50:08.124206Z digest=sha256:da4116f4610ef51d702ee66dd3af64a915409dc48380324a7ecd1a63333fd44e

Observation 42fe9381-b93a-4e10-9cc9-fb07ea4bf341 · outbound

This paper cites Europarl: A parallel corpus for statisti- cal machine translation.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model Europarl: A parallel corpus for statisti- cal machine translation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:50:15.414510Z

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=2026-05-21T14:50:08.124206Z digest=sha256:074c5afa2ba19d1f3f99d53271df5c4214bd4fedb8670dd540c1a50c52ac6574

Pith citing papers

Observation d2a5565a-6328-4e00-9fc8-7460e8e41614 · inbound

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model cites this paper.

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T14:50:15.279086Z

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=2026-05-21T14:50:08.124206Z digest=sha256:9b3a312a95e559a72dcaf934d805732b0e5e83efaa26417feec27b109450f41d

Observation 5c41681f-2e6e-41d2-a025-aa4523f6ae21 · inbound

Semantic Error Correction and Decoding for Short Block Codes cites this paper.

Semantic Error Correction and Decoding for Short Block Codes Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-20T00:00:33.436190Z

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=2026-05-08T10:03:03.100779Z digest=sha256:b56dd2eee885148fcad635b79d95ccde55011c9a8bf5940c60d7529892eb5e19

Observation 99b20dab-9a3f-488c-849e-0e6d09892a8f · inbound

Foundation Models for Wireless Communications: From PHY Intelligence to Network Autonomy cites this paper.

Foundation Models for Wireless Communications: From PHY Intelligence to Network Autonomy Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-07-02T14:47:03.919899Z

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=2026-06-28T00:11:57.999438Z digest=sha256:6ebf4a4811a6d491e92b81c1df3a81640b0e7169bb1516ce6b3c357d79d02fea