Paper Citation Record · LEDGER

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation

As of 10 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.22637.

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

pith.paper-citation-record.v1
2607.22637 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:31:25.895739Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

32 of 32 outbound references displayed

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verified fuzzy0
unresolved31
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malformed identifier1
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External citation measurements

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Outbound references

Observation b3c7dd53-4ed6-4dfd-92ca-56bff3af1d4f · outbound

This paper cites A vision of 6g wireless systems: Applications, trends, technologies, and open research problems,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation A vision of 6g wireless systems: Applications, trends, technologies, and open research problems,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:22.737226Z

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Observation 7a09914d-3bef-43f2-94f0-2639ecc6eeb6 · outbound

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

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Power of deep learning for channel estimation and signal detection in OFDM systems,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:22.827974Z

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Observation 1c4828ea-9908-405b-acc8-be65929dfb68 · outbound

This paper cites Robust and Efficient CSI Compression Using CLLWCsiNet in Noisy MIMO Environments ,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Robust and Efficient CSI Compression Using CLLWCsiNet in Noisy MIMO Environments ,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:22.929107Z

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Observation fd4248c7-cd44-4731-910a-376e242fc328 · outbound

This paper cites SwiftChannel: Algorithm-Hardware Co-Design for Deep Learning-Based 5G Channel Estimation ,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation SwiftChannel: Algorithm-Hardware Co-Design for Deep Learning-Based 5G Channel Estimation ,

Reference 4

Resolution: malformed identifier; no resolver link, observed 2026-08-02T10:31:23.025537Z

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Observation 154697bb-36d5-4452-9e1d-2e6e284cf874 · outbound

This paper cites Enabling feedback-free mimo transmission for fd-ran: A data-driven approach,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Enabling feedback-free mimo transmission for fd-ran: A data-driven approach,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:23.100639Z

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Observation 7080598f-2094-4581-bdbd-096b8dfaa7a4 · outbound

This paper cites Leveraging generative artificial intelligence for uplink feedback-free transmission in 6g fd-ran,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Leveraging generative artificial intelligence for uplink feedback-free transmission in 6g fd-ran,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:23.152135Z

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Observation 96decb0f-35f5-497e-9a28-ffae66f4bebb · outbound

This paper cites Deep learning for massive mimo csi feedback,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Deep learning for massive mimo csi feedback,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:23.206678Z

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Observation b4bad4b4-e1b0-488c-bc75-b716c4623caf · outbound

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

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Model- driven deep learning for physical layer communications,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:23.252487Z

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Observation b0af4216-844a-4bde-9f11-12858e8086dd · outbound

This paper cites Dda-net: A discrepancy- based domain adaptation network for csi feedback transferability,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Dda-net: A discrepancy- based domain adaptation network for csi feedback transferability,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:23.363165Z

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Observation 90449f99-3d86-4f6c-aa2b-06f809065bfa · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:23.482616Z

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Observation 787ccfd7-906b-4ecc-88aa-4b6d3d8355b4 · outbound

This paper cites Enhanced meta-transfer learning assisted csi feedback in massive mimo systems,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Enhanced meta-transfer learning assisted csi feedback in massive mimo systems,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:23.560986Z

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Observation d434a187-7b6b-4534-bc0d-7396c8ceb002 · outbound

This paper cites Transnet: Full attention network for csi feedback in fdd massive mimo system,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Transnet: Full attention network for csi feedback in fdd massive mimo system,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:23.628449Z

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Observation 5c2e9b99-9622-4c77-955e-dee08e3a5531 · outbound

This paper cites Hrnet: Deep massive mimo csi feedback with hypernetworks,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Hrnet: Deep massive mimo csi feedback with hypernetworks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:23.730704Z

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Observation d4188b5e-8162-4296-b8d3-e13210bc625e · outbound

This paper cites Hypernetwork-aided channel estimation for integrated data and energy transfer,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Hypernetwork-aided channel estimation for integrated data and energy transfer,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:23.822724Z

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Observation 0ced05d9-1288-4ede-9c8e-c8baa3afe3a4 · outbound

This paper cites A hypernetwork based framework for non-stationary channel prediction,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation A hypernetwork based framework for non-stationary channel prediction,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:23.921156Z

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Observation e21e9aa8-15e6-4dd9-af2c-688626b64314 · outbound

This paper cites Model lego: Creating models like disassembling and assembling building blocks,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Model lego: Creating models like disassembling and assembling building blocks,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:24.015596Z

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Observation a6acd59b-23d0-4cd7-98a6-8f6c1e4f385d · outbound

This paper cites Transformer doctor: Diagnosing and treating vision transformers,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Transformer doctor: Diagnosing and treating vision transformers,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:24.113762Z

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Observation b413282c-40d2-46cd-aedb-7075455c9d6c · outbound

This paper cites Vision mamba mender,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Vision mamba mender,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:24.248533Z

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Observation 3b7d72b3-25c4-4619-962f-ea3f35f2cdda · outbound

This paper cites Parameter manifold purification,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Parameter manifold purification,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:24.389769Z

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Observation 2b43d885-d06c-4aec-87c5-c6f1becd463d · outbound

This paper cites The approximation of one matrix by another of lower rank,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation The approximation of one matrix by another of lower rank,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:24.524868Z

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Observation a3a033cf-547d-417b-b595-1a23c19a563b · outbound

This paper cites Perceiver: General perception with iterative attention,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Perceiver: General perception with iterative attention,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:24.675547Z

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Observation 60e578dc-b907-4d07-8d87-e25935d5ba69 · outbound

This paper cites The role of permutation invariance in linear mode connectivity of neural networks,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation The role of permutation invariance in linear mode connectivity of neural networks,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:24.780084Z

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Observation 69bff622-6b8b-4bef-8b44-a25fed24812b · outbound

This paper cites Git re-basin: Merging models modulo permutation symmetries,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Git re-basin: Merging models modulo permutation symmetries,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:24.895054Z

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Observation aa11d7a3-beb8-453f-91b8-0a179924840c · outbound

This paper cites Efficient diffusion training via min-snr weighting strategy,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Efficient diffusion training via min-snr weighting strategy,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:25.015234Z

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Observation ec7fef73-2839-465a-b204-06d9ddc1719d · outbound

This paper cites DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:25.135202Z

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Observation 69873c0d-5ff7-4462-ae14-a12eecd22ceb · outbound

This paper cites WAIR-D: Wireless AI Research Dataset.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation WAIR-D: Wireless AI Research Dataset

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:25.252183Z

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Observation 2bbc6bef-2af5-4ba9-9dcd-03313874693f · outbound

This paper cites Denoising diffusion implicit models,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Denoising diffusion implicit models,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:25.362837Z

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Observation 585b0547-43e2-435d-b496-6fcdd98d84f6 · outbound

This paper cites Weight diffusion for future: Learn to generalize in non-stationary environments,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Weight diffusion for future: Learn to generalize in non-stationary environments,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:25.463623Z

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Observation 73fb1437-1251-4fde-aff0-147595802025 · outbound

This paper cites LoRAGen: Structure-aware weight space learning for LoRA generation,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation LoRAGen: Structure-aware weight space learning for LoRA generation,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:25.575600Z

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Observation 5fae7f4b-41ac-4e59-a047-bc8be6f1f06e · outbound

This paper cites Diffusion-based neural network weights generation,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Diffusion-based neural network weights generation,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:25.780697Z

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Observation cbd5dc96-753c-4633-8c37-b2d37c104e52 · outbound

This paper cites Metadiff: Meta-learning with conditional diffusion for few-shot learning,.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Metadiff: Meta-learning with conditional diffusion for few-shot learning,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:25.895739Z

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Observation 5dc54fc2-23ce-4b59-93fc-589fad11cdf0 · outbound

This paper cites Available: https://openreview.net/forum?id=mrafO7aTYj.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation Available: https://openreview.net/forum?id=mrafO7aTYj

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-02T10:31:25.662808Z

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Pith citing papers

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