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Paper Citation Record · LEDGER

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement

As of 21 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2506.20597.

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

pith.paper-citation-record.v1
2506.20597 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:49:20.092484Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

25 of 25 outbound references displayed

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External citation measurements

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Outbound references

Observation eef9c02a-582c-49c5-a922-5f69066616d0 · outbound

This paper cites Matthaiou, O.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Matthaiou, O

Reference 1

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Source-reported events for the cited work

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Observation e5fd6158-1d93-4719-8544-89638066452b · outbound

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Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Unresolved cited work

Reference 2

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Observation 017ea57b-5626-45c1-b069-86cd8119336f · outbound

This paper cites & Hadid, A.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement & Hadid, A

Reference 3

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Observation be6a3aa8-6a23-45d7-bdaa-32a566877305 · outbound

This paper cites Study on Artificial Intelligence (AI)/Machine Learn- ing (ML) for NR Air Interface RAN,.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Study on Artificial Intelligence (AI)/Machine Learn- ing (ML) for NR Air Interface RAN,

Reference 4

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Observation a2bf2b90-6c1d-4fae-8204-f52ddb227a9a · outbound

This paper cites & Tatkeu, C.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement & Tatkeu, C

Reference 5

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Observation 4f259362-e0a2-4bd6-962a-0337d385e09b · outbound

This paper cites & Hadid, A.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement & Hadid, A

Reference 6

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Observation 9462a16d-08b9-4d4e-b0a6-2163359f0d08 · outbound

This paper cites Gharsallah & G.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Gharsallah & G

Reference 7

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Observation e80ead06-49b6-43c7-bb6f-380d7705588d · outbound

This paper cites Learning the MMSE channel estimator,.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Learning the MMSE channel estimator,

Reference 8

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Observation 97b8d48f-04bb-40c3-9a70-8e67e40187ac · outbound

This paper cites Deep learning-based channel estima- tion for beamspace mmWave massive MIMO systems,.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Deep learning-based channel estima- tion for beamspace mmWave massive MIMO systems,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation bc712338-440f-413a-ab58-79b206ca9ce1 · outbound

This paper cites Complex CNN-based equal- ization for communication signal,.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Complex CNN-based equal- ization for communication signal,

Reference 10

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Observation 7161ea91-7201-4323-8402-3df839a121ba · outbound

This paper cites Machine LLRning: Learning to softly demodulate,.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Machine LLRning: Learning to softly demodulate,

Reference 11

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Observation 0a50a522-79ba-4183-bade-7ddd5ddb3fd6 · outbound

This paper cites ComNet: Combination of deep learning and expert knowledge in OFDM receivers,.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement ComNet: Combination of deep learning and expert knowledge in OFDM receivers,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b2c0a13f-9332-46bb-a8e6-df5291f3ebae · outbound

This paper cites Model-driven deep learning for physical layer communications,.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Model-driven deep learning for physical layer communications,

Reference 13

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Observation f3eb97cf-164f-45d2-a76f-9defc524b2e5 · outbound

This paper cites Learning to detect,.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Learning to detect,

Reference 14

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Source-reported events for the cited work

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Observation dad2f640-c388-4b85-82a9-c5d158531702 · outbound

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

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Power of deep learning for channel estimation and signal detection in OFDM systems,

Reference 15

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Observation d187a7db-0a1d-4963-a3f6-0c2c5dac75cf · outbound

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Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Unresolved cited work

Reference 16

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Observation e6e58c5e-9e59-4095-8133-98ea6ad4b973 · outbound

This paper cites Honkala, D.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Honkala, D

Reference 17

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Observation 1d787747-32b7-43fb-8ad5-b2c66594b59f · outbound

This paper cites Akrout, A.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Akrout, A

Reference 18

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Observation 36b8888d-0532-44ad-aec1-81f497002d3b · outbound

This paper cites Differential Transformer.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Differential Transformer

Reference 19

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Observation 3004d0c2-4318-4724-a989-e17668b40a97 · outbound

This paper cites Deep Multi-modal Neural Receiver for 6G Vehicular Communication.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Deep Multi-modal Neural Receiver for 6G Vehicular Communication

Reference 20

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Observation 0e32772e-7c98-4277-8295-a90a4cb7e048 · outbound

This paper cites Design of a Standard-Compliant Real-Time Neural Receiver for 5G NR.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Design of a Standard-Compliant Real-Time Neural Receiver for 5G NR

Reference 21

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Observation d52ddcee-9ad1-4f85-889f-5f8f6cbcff2a · outbound

This paper cites Saleem, S.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Saleem, S

Reference 22

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Source-reported events for the cited work

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Observation b899226d-4620-485e-b556-5918b2d66f4e · outbound

This paper cites An Extensible Framework for Open Heterogeneous Collaborative Perception.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement An Extensible Framework for Open Heterogeneous Collaborative Perception

Reference 23

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Observation 24bb4ac1-100e-4e4f-b736-2d9e883f4dbc · outbound

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

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Reference 24

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Observation 958c2f0b-44cd-438a-8553-c073333cfc63 · outbound

This paper cites an unresolved cited work.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Unresolved cited work

Reference 25

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Pith citing papers

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