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Paper Citation Record · LEDGER

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models

As of 9 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.14975.

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

pith.paper-citation-record.v1
2607.14975 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T00:36:15.218116Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

33 of 33 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved31
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 82b79971-85d8-4dcb-b1d5-5a5c447335f1 · outbound

This paper cites Study on artificial intelligence (AI)/machine learning (ML) for NR air interface,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models Study on artificial intelligence (AI)/machine learning (ML) for NR air interface,

Reference 1

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source=pdf_text observed=2026-08-02T00:36:15.077005Z digest=sha256:1f8e86c9aadf5cdf031ea9a3f846aaf10766d0c65034e5e84319edd2d0f1d9f9

Observation c0255d42-32bb-43f0-ada9-9667f8e7ada7 · outbound

This paper cites Ai/ml for mobile networks: Current status in rel. 19 and challenges ahead,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models Ai/ml for mobile networks: Current status in rel. 19 and challenges ahead,

Reference 2

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source=pdf_text observed=2026-08-02T00:36:15.082221Z digest=sha256:c62031185339390a8cdc462f2f814cb05bb468aa42588ef08b0757d16f8fdbdc

Observation 05fc627c-72e4-491c-8a3a-46c1751167d4 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models On the Opportunities and Risks of Foundation Models

Reference 3

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source=pdf_text observed=2026-08-02T00:36:15.087292Z digest=sha256:e9adb95637fca69bfff968e623a262aec3a7f234d7c5542219497061d3812651

Observation 27c77459-4a13-49fe-82b8-65471fd89068 · outbound

This paper cites Towards channel foundation models (CFMs): Motivations, methodologies and opportunities.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models Towards channel foundation models (CFMs): Motivations, methodologies and opportunities

Reference 4

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source=pdf_text observed=2026-08-02T00:36:15.092299Z digest=sha256:80b19b47d99de2c37d15096186276ef8fbce5c3a8545c6e148fdfa81ee5911dc

Observation fc68350e-f06a-4b11-b036-1c884e323272 · outbound

This paper cites Lwm: A pre-trained wire- less foundation model for universal feature extraction,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models Lwm: A pre-trained wire- less foundation model for universal feature extraction,

Reference 5

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source=pdf_text observed=2026-08-02T00:36:15.097699Z digest=sha256:7d8ceac2871d9e636a7816d010070bd58e2e9a60d8cdbc8b5760cac5df973967

Observation 8e27ff45-af47-4fcb-a7c9-d2a342b8e5d8 · outbound

This paper cites WiFo: Wireless foundation model for channel prediction,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models WiFo: Wireless foundation model for channel prediction,

Reference 6

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source=pdf_text observed=2026-08-02T00:36:15.102584Z digest=sha256:bbff2f1acc64c7edd6114b4c92338f1619ee3f46cad558e8bc01ef850f461ca3

Observation e6dabb59-867f-479e-988d-84eedd5716a4 · outbound

This paper cites Csi-mae: A masked autoencoder- based channel foundation model,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models Csi-mae: A masked autoencoder- based channel foundation model,

Reference 7

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source=pdf_text observed=2026-08-02T00:36:15.107585Z digest=sha256:e35b6050bece13acbfbc777b1828ffc55225101c05e43e5dd83f3f06be445c83

Observation 2a23e64b-4248-4d02-ad4d-136f751b3c44 · outbound

This paper cites DeepMIMO: A generic deep learning dataset for mil- limeter wave and massive MIMO applications,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models DeepMIMO: A generic deep learning dataset for mil- limeter wave and massive MIMO applications,

Reference 8

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source=pdf_text observed=2026-08-02T00:36:15.111818Z digest=sha256:f7dd16cda5101da1743151d8375f65ea79e9b3c815fecc04264fe56e51e2ac12

Observation 8ccf10c5-28d7-41ed-b555-5921bf8360d7 · outbound

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

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Reference 9

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source=pdf_text observed=2026-08-02T00:36:15.116088Z digest=sha256:283c73da6760f90b2afc0684cf6c44cc0583a6be9d6deed39027afaeaefc761b

Observation f7c7cbdf-9cf8-4a34-994e-02a315f43158 · outbound

This paper cites Sionna RT: Differentiable ray tracing for radio propagation modeling,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models Sionna RT: Differentiable ray tracing for radio propagation modeling,

Reference 10

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source=pdf_text observed=2026-08-02T00:36:15.120780Z digest=sha256:ac5dc8fe7ddbdd65890aec85cfd5bd3fa91e99f3ced21a8b3a59a570633c0c34

Observation 4dcb4d90-cbc6-4670-8195-40726cc87a2d · outbound

This paper cites Multi-cell outdoor channel state information dataset (MOCSID),.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models Multi-cell outdoor channel state information dataset (MOCSID),

Reference 11

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source=pdf_text observed=2026-08-02T00:36:15.125074Z digest=sha256:ac935fea1ba8eba34988148cebed9d20b3796105c4814df24b87e79cc97b1a49

Observation b2923a1b-c587-47fb-b12c-322685eb95de · outbound

This paper cites Multi-cell outdoors channel state information dataset (MOCSID),.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models Multi-cell outdoors channel state information dataset (MOCSID),

Reference 12

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source=pdf_text observed=2026-08-02T00:36:15.129233Z digest=sha256:3fe153241dd3924aaa121fa54bd044bbbd425f0ef8b956ac85ea85c291ffc7d2

Observation 188e4663-32cd-415f-9fc9-7f7ee471862c · outbound

This paper cites A distributed massive MIMO channel sounder for “big CSI data.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models A distributed massive MIMO channel sounder for “big CSI data

Reference 13

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source=pdf_text observed=2026-08-02T00:36:15.134020Z digest=sha256:c1607ca093ac57e9f1f7527805b24e1336cf5dc3fc14b72ddf5918a49ca397fc

Observation d59eaffd-9671-424b-904f-4ffc3b8037be · outbound

This paper cites CSI dataset dichasus-adxx: ARENA2036: Distributed setup in industrial environment at 3.4 GHz,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models CSI dataset dichasus-adxx: ARENA2036: Distributed setup in industrial environment at 3.4 GHz,

Reference 14

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source=pdf_text observed=2026-08-02T00:36:15.138201Z digest=sha256:b1c6aa8a8528496b54861b7c5b1e5b849e1ecc6cd5304746b9a94cd5673c7ac5

Observation 171d6a64-159a-44cd-a4ca-6b9abbf5afbc · outbound

This paper cites CSI measurements and initial results for massive MIMO to UA V communication,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models CSI measurements and initial results for massive MIMO to UA V communication,

Reference 15

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source=pdf_text observed=2026-08-02T00:36:15.142412Z digest=sha256:85c98d0a22b02e8d8267a9d77a325557ef1e0e9553076caa4a2540af8f229541

Observation b2656d87-d74e-4847-a31f-977a9b2d06a2 · outbound

This paper cites MaMIMO-UA V 3d channel state information dataset,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models MaMIMO-UA V 3d channel state information dataset,

Reference 16

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-02T00:36:15.146783Z digest=sha256:fbd6b3abf577b06d836a5555e2f599cb0e08cc9dd9fed8a41736fc337af16617

Observation 6047096e-9ec9-4c42-b885-231ca3a2aa93 · outbound

This paper cites Multimodal- wireless: A large-scale dataset for sensing and communication,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models Multimodal- wireless: A large-scale dataset for sensing and communication,

Reference 17

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source=pdf_text observed=2026-08-02T00:36:15.150794Z digest=sha256:c91ac87f001d8fbf4e46ccaaaf05f23c942b4b2c64aa9cc4a686e0893587d8f4

Observation 5bb6317d-e02a-4c21-a499-db8c7a251c63 · outbound

This paper cites CSI-CLIP++: A Scalable Channel Foundation Model for Wireless Communication via CIR-CSI Consistency.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models CSI-CLIP++: A Scalable Channel Foundation Model for Wireless Communication via CIR-CSI Consistency

Reference 18

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source=pdf_text observed=2026-08-02T00:36:15.154688Z digest=sha256:528413941ef1594b3fc8209785364c02a6b4ae223562e1d3cd9dec1d231b06cd

Observation b0063662-bc3c-408e-87c4-544598572bd3 · outbound

This paper cites Filter-and-attend: Wireless channel foundation model with noise-plus- interference suppression structure,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models Filter-and-attend: Wireless channel foundation model with noise-plus- interference suppression structure,

Reference 19

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source=pdf_text observed=2026-08-02T00:36:15.159239Z digest=sha256:ef93851ed8aec9b355ee1a55bbb6477eddbc9c533a83e1b28a3257396494f987

Observation 20342710-45d1-4cf9-9451-02ad7cf03c11 · outbound

This paper cites A Wireless Foundation Model for Multi-Task Prediction.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models A Wireless Foundation Model for Multi-Task Prediction

Reference 20

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source=pdf_text observed=2026-08-02T00:36:15.163549Z digest=sha256:b0fd03c84ff73a2f4d4ec5ffb73bf1f5248e6b23027b2ec97f632ce880b7c0ca

Observation 22274e50-db0e-4581-81e9-d7042293c029 · outbound

This paper cites WiFo-E: A scalable wireless foundation model for end-to-end FDD precoding in communication networks,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models WiFo-E: A scalable wireless foundation model for end-to-end FDD precoding in communication networks,

Reference 21

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source=pdf_text observed=2026-08-02T00:36:15.167956Z digest=sha256:193cb572e6390fce7be15ded5392a3adc7a724c9bf618efbd62320359375c66c

Observation cfa9d455-ed4e-441b-a483-a963c32de0e4 · outbound

This paper cites Study on channel model for frequencies from 0.5 to 100 GHz,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models Study on channel model for frequencies from 0.5 to 100 GHz,

Reference 22

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source=pdf_text observed=2026-08-02T00:36:15.172340Z digest=sha256:3f96fc5717ce4d0247ee4b1e5e43d407534cf7bcb88fc703209b6a4420f86d42

Observation 5585ef4c-f6d3-4540-a369-ff5a4855f053 · outbound

This paper cites Overview of deep learning- based CSI feedback in massive MIMO systems,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models Overview of deep learning- based CSI feedback in massive MIMO systems,

Reference 23

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source=pdf_text observed=2026-08-02T00:36:15.176609Z digest=sha256:add534f43276ba92165c4bf33d827f4e382eda2cad2312c7612b14799ea0622c

Observation 6f4c9d1f-cd9a-4859-af5a-e6edaa47c8db · outbound

This paper cites Overview of deep learning-based CSI feedback in massive MIMO systems,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models Overview of deep learning-based CSI feedback in massive MIMO systems,

Reference 24

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source=pdf_text observed=2026-08-02T00:36:15.180632Z digest=sha256:a4b0e285ca3b132d1fcda5e42d0fb9c5b9f178c2cd9b5398bde10a0c803215c6

Observation 7abb2597-4f97-4273-bae4-3939f303ca20 · outbound

This paper cites Study on artificial intelligence (AI)/machine learning (ML) for NR air interface (Release 18),.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models Study on artificial intelligence (AI)/machine learning (ML) for NR air interface (Release 18),

Reference 25

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source=pdf_text observed=2026-08-02T00:36:15.184514Z digest=sha256:13f3fa810704568dea85e03751370d4214a07991f0c95cc4f664b94f98d8688a

Observation 65cbcab6-46a2-40a9-94c5-e6e423bf78ec · outbound

This paper cites AI for CSI feedback enhancement in 5G-Advanced,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models AI for CSI feedback enhancement in 5G-Advanced,

Reference 26

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source=pdf_text observed=2026-08-02T00:36:15.188692Z digest=sha256:797d71610c0c48c9d2c6882bc25a7926ff3b8f156cc151c74c520a9f865a438c

Observation 6475ba87-86c8-4822-803c-05790b6eb9de · outbound

This paper cites AI-driven channel state information (CSI) extrapolation for 6G: Current situations, challenges and future research,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models AI-driven channel state information (CSI) extrapolation for 6G: Current situations, challenges and future research,

Reference 27

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source=pdf_text observed=2026-08-02T00:36:15.192670Z digest=sha256:bd0361fc4d52dee3cffd51fc8a03273b0d331614ca066e2cba8438cbc92e7828

Observation cd6049ec-ba36-4dcc-9aad-2c62c0413ef9 · outbound

This paper cites SSNet: Flexible and robust channel extrapolation for fluid antenna sys- tems enabled by an self-supervised learning framework,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models SSNet: Flexible and robust channel extrapolation for fluid antenna sys- tems enabled by an self-supervised learning framework,

Reference 28

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source=pdf_text observed=2026-08-02T00:36:15.196836Z digest=sha256:4b58e2e61936fe8b15ac90a10de334b0a48bf2048ccd2c70285994b926bb6aeb

Observation bab96d84-f742-4e0a-8086-36312a32599f · outbound

This paper cites Enabling 6g through multi-domain channel extrapolation: Opportunities and challenges of generative artificial intelligence,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models Enabling 6g through multi-domain channel extrapolation: Opportunities and challenges of generative artificial intelligence,

Reference 29

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source=pdf_text observed=2026-08-02T00:36:15.200982Z digest=sha256:0f7adfd82e0ba186d9a91d3ce01327beed697483377440caa12b6b4995ae75de

Observation 09727850-4b23-4506-9fd6-e74f604499ca · outbound

This paper cites Generalizable and robust beam prediction for 6g networks: An deep- learning framework with positioning feature fusion,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models Generalizable and robust beam prediction for 6g networks: An deep- learning framework with positioning feature fusion,

Reference 30

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source=pdf_text observed=2026-08-02T00:36:15.205333Z digest=sha256:d25ebfb20b5815216d53df096a74c73a8660fa48122d12559a027ff80b0e3bd1

Observation 7db1cb40-1568-4b78-a90d-ac872b7b1909 · outbound

This paper cites A survey of beam management for mmWave and THz communications towards 6G,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models A survey of beam management for mmWave and THz communications towards 6G,

Reference 31

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source=pdf_text observed=2026-08-02T00:36:15.209610Z digest=sha256:9675a3e273862ffdb996c0b66e89eb64564add534447bab01e7d45ca8c700b37

Observation f015c6e0-2e9c-4086-b19b-b4affbd3f281 · outbound

This paper cites Sidelink positioning: Standardization advancements, challenges and opportunities,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models Sidelink positioning: Standardization advancements, challenges and opportunities,

Reference 32

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source=pdf_text observed=2026-08-02T00:36:15.214009Z digest=sha256:aafdca78448d5979e57a8df57404a20550abcf3285fa4cf46f026da65fe0301b

Observation 86e5424b-20d5-4c2c-94bd-47cfa2d31806 · outbound

This paper cites Enhanced fingerprint-based positioning with practical imperfections: Deep learning-based approaches,.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models Enhanced fingerprint-based positioning with practical imperfections: Deep learning-based approaches,

Reference 33

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source=pdf_text observed=2026-08-02T00:36:15.218116Z digest=sha256:f35939b2b1d00263ddb635ab261e3a63dfb70fdb229c23eb1acef73cc8b22847

Pith citing papers

No inbound Pith citation observations are available.