Paper Citation Record · LEDGER

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation

As of 18 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2505.09076.

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

pith.paper-citation-record.v1
2505.09076 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:44:32.838491Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

29 of 29 outbound references displayed

verified exact1
verified fuzzy17
unresolved10
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6dfe49f4-3fef-4f79-ab5e-d0229f11c68a · outbound

This paper cites On channel estimation in OFDM systems,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation On channel estimation in OFDM systems,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:44:33.322272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation efbb4e8a-2ec8-4049-bda3-15c740fb59fd · outbound

This paper cites Robust channel estimation for OFDM systems with rapid dispersive fading channels,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Robust channel estimation for OFDM systems with rapid dispersive fading channels,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:44:33.309619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0d32273e-b718-4176-9274-4a3416a1734e · outbound

This paper cites Channel estimation for OFDM,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Channel estimation for OFDM,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:44:33.298378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2d838e31-201d-4bf8-9ddb-84a40c617251 · outbound

This paper cites Least-squares channel estimation for mobile OFDM com- munication on time-varying frequency-selective fading channels,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Least-squares channel estimation for mobile OFDM com- munication on time-varying frequency-selective fading channels,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:44:33.286567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 52b7349b-f078-4f21-b916-7d52fe8485e1 · outbound

This paper cites LMMSE channel estimation in OFDM context: a review,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation LMMSE channel estimation in OFDM context: a review,

Reference 5

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Source-reported events for the cited work

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Observation df9e4c07-5a5d-4347-9f09-1b4f7346c278 · outbound

This paper cites Power of deep learning for channel estimation and signal detection in OFDM systems,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Power of deep learning for channel estimation and signal detection in OFDM systems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:44:33.276175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bd3cce73-f5d2-467a-b5ce-b9250028efed · outbound

This paper cites Deep learning for channel estimation: Interpretation, performance, and comparison,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Deep learning for channel estimation: Interpretation, performance, and comparison,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:44:33.264532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fffaca9a-227b-4870-a171-e829c0afb67a · outbound

This paper cites Deep learning-based channel estimation,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Deep learning-based channel estimation,

Reference 8

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Source-reported events for the cited work

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Observation aa81a85a-91ae-4034-9f78-f0e3ae557e4b · outbound

This paper cites Deep residual learning meets OFDM channel estimation,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Deep residual learning meets OFDM channel estimation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:44:33.245615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a2a7f16e-a2ce-4bb6-8689-a899314c5082 · outbound

This paper cites Dual CNN-based channel estimation for MIMO-OFDM systems,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Dual CNN-based channel estimation for MIMO-OFDM systems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:44:33.231385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e01d7737-0015-48ac-a216-0b92b828535c · outbound

This paper cites Channel estimation using CNN-LSTM in RIS-NOMA assisted 6G network,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Channel estimation using CNN-LSTM in RIS-NOMA assisted 6G network,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:44:33.214691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4d1891df-6033-4be0-a166-902dc2cdea6f · outbound

This paper cites GRU-based deep learning channel estimation scheme for the IEEE 802.11p standard,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation GRU-based deep learning channel estimation scheme for the IEEE 802.11p standard,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:44:33.199927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ff3b2151-0607-4aad-8aa0-063bfb567d59 · outbound

This paper cites Deep OFDM channel estimation: Capturing frequency recurrence,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Deep OFDM channel estimation: Capturing frequency recurrence,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:44:33.181922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 97aaad9f-db88-4319-a9e7-560ee86e3d47 · outbound

This paper cites Attention is all you need,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Attention is all you need,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:44:33.166115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4e90e3e1-8dbe-4d5e-b289-8050bb50c1c5 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 15

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Source-reported events for the cited work

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Observation 665a9826-18e5-46a9-8f82-419b3e283351 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T21:44:32.780518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 352967e5-8622-43e6-a8ca-4b451be5bfdb · outbound

This paper cites Channel estimation method based on transformer in high dynamic environment,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Channel estimation method based on transformer in high dynamic environment,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:44:33.141579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e88587ca-9732-4aaf-a3cf-c4d08df1b68b · outbound

This paper cites Attention Based Neural Networks for Wireless Channel Estimation.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Attention Based Neural Networks for Wireless Channel Estimation

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:44:32.966748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation edd11183-76c7-47c4-97a2-0d955a2f373b · outbound

This paper cites Ce-ViT: A robust channel estimator based on vision transformer for OFDM systems,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Ce-ViT: A robust channel estimator based on vision transformer for OFDM systems,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:44:33.127654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4d9af7dc-3b35-414d-aa30-d6f7ee713962 · outbound

This paper cites Study on channel model for frequency spectrum above 6 GHz,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Study on channel model for frequency spectrum above 6 GHz,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:44:33.113714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 722c5512-272b-48f3-ae5c-ed6fc25fe84f · outbound

This paper cites Physical channels and modulation,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Physical channels and modulation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:44:33.100733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a9144108-ea7a-45ae-bbed-a58b7820720f · outbound

This paper cites Two-dimensional pilot-symbol- aided channel estimation by wiener filtering,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Two-dimensional pilot-symbol- aided channel estimation by wiener filtering,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:44:33.085714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b9e33e72-0804-401c-b322-ca1f42324b9a · outbound

This paper cites Early Convolutions Help Transformers See Better.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Early Convolutions Help Transformers See Better

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T21:44:32.809881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b5bbe99-10c8-47d9-82a6-5100bec027fc · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T21:44:32.814318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90bc593c-1d0d-4aa9-aa1f-78ea3ff2b053 · outbound

This paper cites Layer Normalization.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Layer Normalization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T21:44:32.818932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64810c9d-0cb3-4cef-a74f-e84593d0ccf7 · outbound

This paper cites SwinIR: Image Restoration Using Swin Transformer.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation SwinIR: Image Restoration Using Swin Transformer

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T21:44:32.824341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2977d58f-a449-43bf-bb0a-60320a5400c6 · outbound

This paper cites DRCT: Saving Image Super-resolution away from Information Bottleneck.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation DRCT: Saving Image Super-resolution away from Information Bottleneck

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T21:44:32.829186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce66e05d-4bed-48eb-ab02-7627637873bb · outbound

This paper cites Adam: A method for stochastic optimization,.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Adam: A method for stochastic optimization,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T21:44:32.833508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb4a74ea-fca5-4a34-b6c1-16ff26d91731 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Adam: A Method for Stochastic Optimization

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-15T21:44:32.838491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.