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Paper Citation Record · LEDGER

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation

As of 22 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2608.10222.

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

pith.paper-citation-record.v1
2608.10222 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:15:43.464923Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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 exact2
  • verified fuzzy15
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8a16a062-885f-4e73-8b0c-24314d26c56a · outbound

This paper cites Telecom World Models: Unifying Digital Twins, Foundation Models, and Predictive Planning for 6G.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation Telecom World Models: Unifying Digital Twins, Foundation Models, and Predictive Planning for 6G

Reference 1

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Observation d4db27c2-f9e0-43b2-85eb-cbba07b3767e · outbound

This paper cites Structured latent dynam- ics in wireless CSI via homomorphic world models,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation Structured latent dynam- ics in wireless CSI via homomorphic world models,

Reference 2

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Observation ba473486-1111-41a0-90c8-e35270b0eeb9 · outbound

This paper cites Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

Reference 3

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Observation c6ef1acb-2775-414d-a0a3-e23ddcb088de · outbound

This paper cites Revisiting Feature Prediction for Learning Visual Representations from Video.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation Revisiting Feature Prediction for Learning Visual Representations from Video

Reference 4

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source=pdf_text observed=2026-08-14T04:15:43.246961Z digest=sha256:43c9d93e6fcd98a51475d1bf719d56e419036f1907da0c21eace1a6f64b9fa4f

Observation 9740089c-8054-45e7-8e1f-6dc678e4a636 · outbound

This paper cites V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning

Reference 5

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Observation 5d3db11a-8b4e-4417-8d26-4058f57d67df · outbound

This paper cites AI reasoning for wireless communica- tions and networking: A survey and perspectives,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation AI reasoning for wireless communica- tions and networking: A survey and perspectives,

Reference 6

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Observation 383611c1-b27c-4bb4-be97-cb453e2b0273 · outbound

This paper cites Wireless large AI model: shaping the AI-empowered future of 6G and beyond.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation Wireless large AI model: shaping the AI-empowered future of 6G and beyond

Reference 7

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source=pdf_text observed=2026-08-14T04:15:43.261113Z digest=sha256:a971420ba892efb52a5bc0a12421e0c97f3646fbb7d6728e96bf4496a6007f6e

Observation d95fa879-3313-4a2f-b82b-a8576b125cb3 · outbound

This paper cites Deep learning for massive MIMO CSI feedback,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation Deep learning for massive MIMO CSI feedback,

Reference 8

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Observation 95f8ce0a-1a2f-41f0-b31b-2b7a823b1479 · outbound

This paper cites Deep learning-based CSI feedback approach for time-varying massive MIMO channels,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation Deep learning-based CSI feedback approach for time-varying massive MIMO channels,

Reference 9

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source=pdf_text observed=2026-08-14T04:15:43.272358Z digest=sha256:8b697ce7edc80656b403b8abdfb16a312d7d43c71d53e49d1fb31c41b0ec3f82

Observation 4c37d117-291f-4877-a8a6-71998e5d958d · outbound

This paper cites Accurate channel prediction based on transformer: Making mobility negligible,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation Accurate channel prediction based on transformer: Making mobility negligible,

Reference 10

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Observation ddc31d94-7877-42e5-b1e8-939f5b79da24 · outbound

This paper cites Spatio-temporal neural network for chan- nel prediction in massive MIMO-OFDM systems,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation Spatio-temporal neural network for chan- nel prediction in massive MIMO-OFDM systems,

Reference 11

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Observation 4fa3c15c-7b6b-4071-a2d7-efaf6d4fa5d7 · outbound

This paper cites Machine learning-based channel prediction in wideband massive mimo systems with small overhead for online training,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation Machine learning-based channel prediction in wideband massive mimo systems with small overhead for online training,

Reference 12

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source=pdf_text observed=2026-08-14T04:15:43.284854Z digest=sha256:e7dfcecd1cd697f9125393a16d0f74fc347d55ae8640af90bc8deb0dfaddd993

Observation 3eb8d8f9-46f9-45d0-8d67-fd8d9f1b92e5 · outbound

This paper cites Linformer: A linear-based lightweight transformer architecture for time-aware MIMO channel prediction,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation Linformer: A linear-based lightweight transformer architecture for time-aware MIMO channel prediction,

Reference 13

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Observation 82b3be0e-14dc-4adf-9675-4ea8a4abd13d · outbound

This paper cites From data-driven learning to physics- inspired inferring: A novel mobile MIMO channel prediction scheme based on neural ODE,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation From data-driven learning to physics- inspired inferring: A novel mobile MIMO channel prediction scheme based on neural ODE,

Reference 14

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Observation 946fb864-adfe-4d55-800d-403e423215b2 · outbound

This paper cites ODE-Former for mobile channel prediction: A novel learning structure leveraging the physics continuity,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation ODE-Former for mobile channel prediction: A novel learning structure leveraging the physics continuity,

Reference 15

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Observation 2c18b5c7-763e-45f2-b44f-8293a53e0eb2 · outbound

This paper cites CSI-4CAST: A hybrid deep learning model for CSI prediction with comprehensive robustness and generalization testing,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation CSI-4CAST: A hybrid deep learning model for CSI prediction with comprehensive robustness and generalization testing,

Reference 16

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source=pdf_text observed=2026-08-14T04:15:43.298521Z digest=sha256:8a8fc02d23b7a275e4e05bfd1c6ac228403fc350635ca4981ff867b7913e4f59

Observation 6c9a98c9-0b2f-403f-89a6-619e170d4811 · outbound

This paper cites Deep transfer learning-based downlink channel prediction for FDD massive MIMO systems,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation Deep transfer learning-based downlink channel prediction for FDD massive MIMO systems,

Reference 17

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source=pdf_text observed=2026-08-14T04:15:43.301662Z digest=sha256:18fadb808db1d4d97279b403e0725835d36c328bec892d32069a8e2cdb7b9a35

Observation 0542818d-831c-4518-8c83-67c88a598c6c · outbound

This paper cites FIRE: Enabling reciprocity for FDD MIMO systems,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation FIRE: Enabling reciprocity for FDD MIMO systems,

Reference 18

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source=pdf_text observed=2026-08-14T04:15:43.304939Z digest=sha256:ae84cc549b3cde3c007d2f6ad7897795c6b50dfca1af664c4a43f34a712b5892

Observation 0a805e0e-2432-4219-9222-b61ac7ef8a2e · outbound

This paper cites LLM4CP: Adapting large language models for channel prediction,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation LLM4CP: Adapting large language models for channel prediction,

Reference 19

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source=pdf_text observed=2026-08-14T04:15:43.307879Z digest=sha256:668d36ba3d04b98247123067a3e7f4bffd7961c076cf0b6cdd6ffebd759eb1b2

Observation 03e50c07-9d6c-4a99-89f4-d8cc0ba9bb3e · outbound

This paper cites BERT4MIMO: A Foundation Model using BERT Architecture for Massive MIMO Channel State Information Prediction.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation BERT4MIMO: A Foundation Model using BERT Architecture for Massive MIMO Channel State Information Prediction

Reference 20

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source=pdf_text observed=2026-08-14T04:15:43.311296Z digest=sha256:c727ba294c42eee8b8d87013927527b0df2619c1aa779c3132a040e4786c0a68

Observation 060ef502-eba5-4569-8249-efe60ddc9e57 · outbound

This paper cites LWM-Temporal: Sparse spatio-temporal attention for wireless channel representation learning,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation LWM-Temporal: Sparse spatio-temporal attention for wireless channel representation learning,

Reference 21

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source=pdf_text observed=2026-08-14T04:15:43.334744Z digest=sha256:97cfa2b398e24c9b30884c3138d1d0f1c59a73ae55e0a76a360e6e168a6e7b3b

Observation 49e69dd7-e440-42e5-bbcd-c3f5e6860ede · outbound

This paper cites AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G

Reference 22

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Observation 430730ad-476c-4a77-9ee9-c49623ee55bc · outbound

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

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation WiFo: Wireless foundation model for channel prediction,

Reference 23

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source=pdf_text observed=2026-08-14T04:15:43.368144Z digest=sha256:77041bda0d943e44c8ca13525f2450da5e81aced8757add6f86d9578998a79f9

Observation 8edd64ac-af44-4c3c-a2b8-17c418aeb301 · outbound

This paper cites CSI-JEPA: Towards Foundation Representations for Ubiquitous Sensing with Minimal Supervision.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation CSI-JEPA: Towards Foundation Representations for Ubiquitous Sensing with Minimal Supervision

Reference 24

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local_arxiv, observed 2026-08-14T04:15:43.799207Z

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source=pdf_text observed=2026-08-14T04:15:43.385430Z digest=sha256:918d9c664b98731f566ff2414f49d44ac4623be1516c2dea23f4846ebaffd041

Observation 6f8aa255-c2bc-438d-b67c-cd5f319f6035 · outbound

This paper cites WirelessJEPA: A multi-antenna foundation model using spatio-temporal wireless latent predictions,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation WirelessJEPA: A multi-antenna foundation model using spatio-temporal wireless latent predictions,

Reference 25

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source=pdf_text observed=2026-08-14T04:15:43.389360Z digest=sha256:82add636434cd990ef9f5e54391bf670cd1470e2ba20a7b896c6fd8ae3354b04

Observation 626fd7ca-d1a7-496a-b91d-b4f75c6adb0d · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 26

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Observation c838cef0-30ba-4bf6-942a-5d14e986ff72 · outbound

This paper cites Tutorial on joint em- bedding predictive architectures (JEPA): Foundations, applications, and future directions,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation Tutorial on joint em- bedding predictive architectures (JEPA): Foundations, applications, and future directions,

Reference 27

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source=pdf_text observed=2026-08-14T04:15:43.404744Z digest=sha256:2e7bb630415f7641eaf3471185deb0e4fe0aea205ea9997e7670a0433a99a1a5

Observation 2fe68052-8072-40d1-a835-d8f52f6fdda0 · outbound

This paper cites Learning latent wireless dynamics from channel state information,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation Learning latent wireless dynamics from channel state information,

Reference 28

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source=pdf_text observed=2026-08-14T04:15:43.411024Z digest=sha256:4d5f17969da867be61ef816b7b4d927cb2fd1e83a28ce8217cdfd2d39b072604

Observation 53441674-a640-4055-a909-f0518d2a90e8 · outbound

This paper cites LatentWave: JEPA Pretraining for Wireless Foundation Models.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation LatentWave: JEPA Pretraining for Wireless Foundation Models

Reference 29

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local_arxiv, observed 2026-08-14T04:15:43.697617Z

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source=pdf_text observed=2026-08-14T04:15:43.416957Z digest=sha256:b1e567357f4fa830eb7371fc0506e18be0a35289e40864b3a0ea23cb8258686f

Observation 1c80ec13-7b53-4c8c-b202-6a51478c271a · outbound

This paper cites MobiWorld: World Models for Mobile Wireless Network.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation MobiWorld: World Models for Mobile Wireless Network

Reference 30

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source=pdf_text observed=2026-08-14T04:15:43.424855Z digest=sha256:4ba7ca01017e6bb8acef36d97ce3659fec095b550cb46ff8d646c42f4d3fa1ff

Observation 8868ee2a-0474-4dc5-a839-e68a6f2e7e28 · outbound

This paper cites JEPA-MSAC: A joint-embedding predictive architecture for multimodal sensing-assisted communications,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation JEPA-MSAC: A joint-embedding predictive architecture for multimodal sensing-assisted communications,

Reference 31

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source=pdf_text observed=2026-08-14T04:15:43.443930Z digest=sha256:770f1bdd4bacfbbdade3b4b8ce6b36be3d2cec80e48155f46dfb56fe2c9382e4

Observation 3d02eb9a-d19b-4cdb-bdf9-ce279fb7d067 · outbound

This paper cites A wireless world model for AI-native 6G networks,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation A wireless world model for AI-native 6G networks,

Reference 32

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source=pdf_text observed=2026-08-14T04:15:43.460048Z digest=sha256:6ea29bba37469ae6cf5e628d8444049d88fa71e3675b6176bc51ae4f0cbb76fb

Observation 7daf4720-616c-407b-8753-1ba2ec9b1170 · outbound

This paper cites Time-series JEPA for pre- dictive remote control under capacity-limited networks,.

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation Time-series JEPA for pre- dictive remote control under capacity-limited networks,

Reference 33

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T04:15:43.464923Z digest=sha256:1b2b3033e1f2322b64dd80a9a937cc7d869ac8cf397569d239493b74dbb77d2e

Pith citing papers

No inbound Pith citation observations are available.