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Paper Citation Record · LEDGER

Semantic-aware Digital Twin for AI-based CSI Acquisition

As of 23 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2506.21126.

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

pith.paper-citation-record.v1
2506.21126 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:36:21.134940Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

15 of 15 outbound references displayed

  • verified exact1
  • verified fuzzy9
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ce4efc9-0580-4b61-a9b4-d8725f80eb85 · outbound

This paper cites Framework and overall objectives of the future development of IMT for 2030 and beyond,.

Semantic-aware Digital Twin for AI-based CSI Acquisition Framework and overall objectives of the future development of IMT for 2030 and beyond,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:36:22.831560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b710e3bb-ae3c-4d2a-9238-bacfc34f11f6 · outbound

This paper cites Future technology trends of terrestrial international mobile telecommunications systems towards 2030 and beyond,.

Semantic-aware Digital Twin for AI-based CSI Acquisition Future technology trends of terrestrial international mobile telecommunications systems towards 2030 and beyond,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:36:22.670800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T22:36:19.879419Z digest=sha256:b7e145e2e9843a7df1421c1b111305f1ba52b3b2445a250dc4989595162f4dcc

Observation 1f2add04-4e50-48be-b4f5-0b409fa4de7e · outbound

This paper cites Deep learning-based channel estimation,.

Semantic-aware Digital Twin for AI-based CSI Acquisition Deep learning-based channel estimation,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T22:36:19.974988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:36:19.974988Z digest=sha256:e101fe2a183d397d5f5ee71f2906b09f58b4de6cfa1d28efccd55791901dbc4c

Observation 6ca45ea9-98b9-4019-a3d0-26cf4af8b6b7 · outbound

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

Semantic-aware Digital Twin for AI-based CSI Acquisition Overview of deep learning- based CSI feedback in massive MIMO systems,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T22:36:20.099470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:36:20.099470Z digest=sha256:24e1eab641d2d3f304ad09969a3bfccd20d233bfd52d519fdfed59d188e50dbf

Observation 3cbc6e53-5292-48cc-96ac-d175fb891422 · outbound

This paper cites Deep multimodal learning: Merging sensory data for massive MIMO channel prediction,.

Semantic-aware Digital Twin for AI-based CSI Acquisition Deep multimodal learning: Merging sensory data for massive MIMO channel prediction,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T22:36:20.204529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:36:20.204529Z digest=sha256:6dfd757e7a245a50af9887e934e6ad358b80c68f268143557f9de5a311b3feca

Observation 07aad595-71da-4baa-a52d-9455d6d1b689 · outbound

This paper cites Digital twin of wireless systems: Overview, taxonomy, challenges, and opportunities,.

Semantic-aware Digital Twin for AI-based CSI Acquisition Digital twin of wireless systems: Overview, taxonomy, challenges, and opportunities,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:36:22.508359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T22:36:20.307947Z digest=sha256:82dc4b08f24e3536b7cf794b69722aa418273d00703be2924c996b8d3683731f

Observation dda5e355-3eee-4104-96f7-fd5411863c98 · outbound

This paper cites 6G digital twin networks: From theory to practice,.

Semantic-aware Digital Twin for AI-based CSI Acquisition 6G digital twin networks: From theory to practice,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:36:22.329619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T22:36:20.399177Z digest=sha256:881afcaa87bc94c92506dc916bf49c8fecbe67cf8d64e36d7f15f85dcdda66e0

Observation ec65224c-e4d0-40cb-a617-591e2117e9cf · outbound

This paper cites Digital twin based beam prediction: Can we train in the digital world and deploy in reality?.

Semantic-aware Digital Twin for AI-based CSI Acquisition Digital twin based beam prediction: Can we train in the digital world and deploy in reality?

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:36:22.180684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T22:36:20.503680Z digest=sha256:aca0ab21dbf3aa0e5d7c393679f52ba5bbea8522a906f0fd12d475ae0bd64a75

Observation 85093b6e-f97c-4fdd-a0b5-4fc7393fa2ae · outbound

This paper cites Machine learning for CSI recreation in the digital twin based on prior knowledge,.

Semantic-aware Digital Twin for AI-based CSI Acquisition Machine learning for CSI recreation in the digital twin based on prior knowledge,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:36:22.000220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T22:36:20.598005Z digest=sha256:1ce517a011b2238d4e25de47af839c8fc368782e9479550e1c653d4caabd920d

Observation 7ef006bd-bf33-4a41-b6ba-2ceb863f02bc · outbound

This paper cites Digital twin aided massive MIMO: CSI compression and feedback,.

Semantic-aware Digital Twin for AI-based CSI Acquisition Digital twin aided massive MIMO: CSI compression and feedback,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:36:21.839825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T22:36:20.673694Z digest=sha256:128e0b8e31710410ad9f5a0bff776af99ae05cc5ad801e71467c2906b4e4554a

Observation 3c8708f4-2a4e-48b1-aa32-4798bf43f70a · outbound

This paper cites Prompt-Enabled Large AI Models for CSI Feedback.

Semantic-aware Digital Twin for AI-based CSI Acquisition Prompt-Enabled Large AI Models for CSI Feedback

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T22:36:20.767868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:36:20.767868Z digest=sha256:f5cb476549f3930cd35e0ed0daf33ec79efeb0eac9439a8595172e9af5d939e7

Observation abc29543-ef7b-4942-acba-4c750f8e9a90 · outbound

This paper cites AdapCsiNet: Environment-Adaptive CSI Feedback via Scene Graph-Aided Deep Learning.

Semantic-aware Digital Twin for AI-based CSI Acquisition AdapCsiNet: Environment-Adaptive CSI Feedback via Scene Graph-Aided Deep Learning

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:36:21.385827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T22:36:20.842662Z digest=sha256:426d4a5738f7fb0b3fbf264276994c9f2ac4bbdab40d8948af368f5af68ae62d

Observation 65083eb8-917b-47f3-950c-298dde7ed447 · outbound

This paper cites Real-time digital twins: Vision and research directions for 6G and beyond,.

Semantic-aware Digital Twin for AI-based CSI Acquisition Real-time digital twins: Vision and research directions for 6G and beyond,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:36:21.675107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T22:36:20.942462Z digest=sha256:e5d2ff0d05819fba2e216379b29c09d42297fd55a3e2cf843769913d325076fd

Observation 85a16960-0313-43de-be80-105c74623847 · outbound

This paper cites Sionna RT: Technical report,.

Semantic-aware Digital Twin for AI-based CSI Acquisition Sionna RT: Technical report,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T22:36:21.023828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:36:21.023828Z digest=sha256:71d56ee7f89199fa34204b3b8bce12262ebf6ef234c1b5d26df79fb606d51de0

Observation b1e6dfe3-fe69-48a7-9f47-30ebd99446fe · outbound

This paper cites Hypernetworks,.

Semantic-aware Digital Twin for AI-based CSI Acquisition Hypernetworks,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:36:21.545443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T22:36:21.134940Z digest=sha256:fda00beace26b6ac430f22a2a1c23de8de4599cd29303f924e568c6af1793013

Pith citing papers

No inbound Pith citation observations are available.