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Paper Citation Record · LEDGER

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability

As of 22 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2605.24077.

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

pith.paper-citation-record.v1
2605.24077 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T15:01:13.600621Z

measured 52 of 52 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

52 of 52 outbound references displayed

  • verified exact4
  • verified fuzzy47
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 58b34b48-209e-403d-a171-c874fa098251 · outbound

This paper cites Deep learning for channel estimation: Interpretation, performance, and comparison,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Deep learning for channel estimation: Interpretation, performance, and comparison,

Reference 1

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verified fuzzy
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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 6b9cb0fe-a54d-48d6-b736-21062d172334 · outbound

This paper cites Deep learning for wireless physical layer: Opportunities and challenges,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Deep learning for wireless physical layer: Opportunities and challenges,

Reference 2

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raw_fallback, observed 2026-07-08T19:05:30.977445Z

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 62ca301b-c6ec-4e0c-806e-5f3c2e36d549 · outbound

This paper cites TR 38.843: Study on artificial intelligence (AI)/machine learning (ML) for NR air interface,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability TR 38.843: Study on artificial intelligence (AI)/machine learning (ML) for NR air interface,

Reference 3

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

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Observation 602c3281-476b-4c78-ab3d-89fc724b438b · outbound

This paper cites Transfer learning for wireless networks: A comprehensive survey,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Transfer learning for wireless networks: A comprehensive survey,

Reference 4

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raw_fallback, observed 2026-07-08T19:05:30.970925Z

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 68000dc8-d978-4244-96c1-febf1c999b92 · outbound

This paper cites Representation similarity analysis for efficient task taxonomy & transfer learning,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Representation similarity analysis for efficient task taxonomy & transfer learning,

Reference 5

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raw_fallback, observed 2026-07-08T19:05:30.974211Z

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 78f03c16-9ffc-4e8c-8326-7df73d95426b · outbound

This paper cites Overcoming data scarcity in biomedical imaging with a foundational multi-task model,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Overcoming data scarcity in biomedical imaging with a foundational multi-task model,

Reference 6

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raw_fallback, observed 2026-07-08T19:05:30.969289Z

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 9183cf8d-76a5-4a54-bcab-b61212b9ca1a · outbound

This paper cites GLISTER: Generalization based data subset selection for efficient and robust learning,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability GLISTER: Generalization based data subset selection for efficient and robust learning,

Reference 7

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raw_fallback, observed 2026-07-08T19:05:31.005905Z

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 6180110d-bafe-4976-a8ec-7f145c28a38b · outbound

This paper cites Don’t stop pretraining: Adapt language models to domains and tasks,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Don’t stop pretraining: Adapt language models to domains and tasks,

Reference 8

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raw_fallback, observed 2026-07-08T19:05:30.964406Z

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

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Observation 17233b54-98db-4cdb-8dae-7475abfa5753 · outbound

This paper cites MATES: Model-aware data selection for efficient pretraining with data influence models,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability MATES: Model-aware data selection for efficient pretraining with data influence models,

Reference 9

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raw_fallback, observed 2026-07-08T19:05:30.966057Z

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 65bc2be8-a2e2-4c89-935f-40809d52c1be · outbound

This paper cites UMAP: Uniform manifold approximation and projection for dimension reduction,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability UMAP: Uniform manifold approximation and projection for dimension reduction,

Reference 10

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raw_fallback, observed 2026-07-08T19:05:31.004190Z

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

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Observation 6a1d44ce-7d3f-4138-9131-dc74d25d2694 · outbound

This paper cites Wireless dataset similarity: Measuring distances in supervised and unsupervised machine learning,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Wireless dataset similarity: Measuring distances in supervised and unsupervised machine learning,

Reference 11

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

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:94f26bc64f4434ec37d77900d6c68dba8c24aea5255edfc3c74ae1bf9a63945d

Observation cfb2943c-c3ab-4aff-8fa9-bbab22895598 · outbound

This paper cites Understanding the Transferability of Representations via Task-Relatedness.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Understanding the Transferability of Representations via Task-Relatedness

Reference 12

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arxiv_id, observed 2026-06-30T15:04:46.277670Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:10e3337aaef3489ca478faaf70501308630a93a15bb1470f665ab420f0520306

Observation 95caa46b-c0ee-437a-b546-3ea76ef1f6d2 · outbound

This paper cites The Geometry of Multilingual Language Model Representations.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability The Geometry of Multilingual Language Model Representations

Reference 13

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metadata mismatch
arxiv_id, observed 2026-06-30T15:04:46.275078Z

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 37d3c0e4-6515-401d-b3a3-e8c0a8154da9 · outbound

This paper cites Correlations between multilingual language model geometry and crosslin- gual transfer performance,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Correlations between multilingual language model geometry and crosslin- gual transfer performance,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-07-08T19:05:31.020137Z

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 8aaceb24-432e-40d1-a689-3caff9c72924 · outbound

This paper cites Fantastic generalization measures and where to find them,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Fantastic generalization measures and where to find them,

Reference 15

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raw_fallback, observed 2026-07-08T19:05:30.997323Z

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

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Observation aff5c2b3-4304-4e6d-9960-c17130a08133 · outbound

This paper cites Large Wireless Model (LWM): A Foundation Model for Wireless Channels.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 16

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arxiv_id, observed 2026-06-30T15:04:46.266907Z

Source-reported events for the cited work

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Observation 2cae829a-621f-46d2-a335-efffbbb02a72 · outbound

This paper cites LWM: A pre-trained wireless foundation model for universal feature extraction,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability LWM: A pre-trained wireless foundation model for universal feature extraction,

Reference 17

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

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Observation 7913aaad-bee0-4659-8116-8bafb64313d6 · outbound

This paper cites Beyond separability: Analyzing the linear transferability of contrastive representations to related subpopulations,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Beyond separability: Analyzing the linear transferability of contrastive representations to related subpopulations,

Reference 18

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

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Observation d2d4a6cb-da8a-49f3-be37-3c706db6b2e4 · outbound

This paper cites A theory of learning from different domains.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability A theory of learning from different domains

Reference 19

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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 ef8e886a-8997-4129-b584-1382d317c079 · outbound

This paper cites Unsupervised domain adaptation by backpropagation,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Unsupervised domain adaptation by backpropagation,

Reference 20

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

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Observation 1e8ea895-d4e3-4242-89f3-b9fe4328cabe · outbound

This paper cites A kernel method for the two-sample problem,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability A kernel method for the two-sample problem,

Reference 21

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

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Observation 210820a8-2b5e-4158-bf0f-1c73acefd1d1 · outbound

This paper cites Energy statistics: A class of statistics based on distances,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Energy statistics: A class of statistics based on distances,

Reference 22

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

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Observation 7907c533-15c5-4234-a28b-abfe69037d3e · outbound

This paper cites Similarity of neural network representations revisited,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Similarity of neural network representations revisited,

Reference 23

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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 975e296f-9fd7-4396-9343-f5027284ff8d · outbound

This paper cites Computational optimal transport,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Computational optimal transport,

Reference 24

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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 4d029c0d-6b82-41c0-997e-2ddb69ff023e · outbound

This paper cites Generalized sliced wasserstein distances,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Generalized sliced wasserstein distances,

Reference 25

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raw_fallback, observed 2026-07-08T19:05:30.959739Z

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 7fbb8c3c-ec4b-472a-8b3a-cd7b3144010d · outbound

This paper cites Sliced and Radon Wasserstein barycenters of measures,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Sliced and Radon Wasserstein barycenters of measures,

Reference 26

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raw_fallback, observed 2026-07-08T19:05:30.958170Z

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 859da73c-b403-4424-b689-c23023ad3c09 · outbound

This paper cites Positivity properties of five-point two-loop Wilson loops with Lagrangian insertion.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Positivity properties of five-point two-loop Wilson loops with Lagrangian insertion

Reference 27

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arxiv_id, observed 2026-06-30T15:04:46.269786Z

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 a571b607-b5d4-404c-ae9c-11bdbd62efb4 · outbound

This paper cites A dataset similarity evaluation framework for wireless communications and sensing,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability A dataset similarity evaluation framework for wireless communications and sensing,

Reference 28

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raw_fallback, observed 2026-07-08T19:05:30.954859Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:f3cb8a9182dcd30092212f4c24f4667ae7bef0c38ef0ad278db02274d984e888

Observation 6dfdcacd-9dac-4cbb-bb9b-700c23d1722b · outbound

This paper cites Task2Vec: Task embedding for meta-learning,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Task2Vec: Task embedding for meta-learning,

Reference 29

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raw_fallback, observed 2026-07-08T19:05:31.012351Z

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 0cc686af-3081-4bb5-b03b-b427f492e580 · outbound

This paper cites Taskonomy: Disentangling task transfer learning,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Taskonomy: Disentangling task transfer learning,

Reference 30

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raw_fallback, observed 2026-07-08T19:05:30.956594Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:bc5b98c3e2eb53a2bb99d6eefb9144475659fe9ebe2021c933c2b5ea339a1b9b

Observation fb8961ea-f7b8-4632-8e55-5aaabc7ec0dd · outbound

This paper cites SimCSE: Simple contrastive learning of sentence embeddings,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability SimCSE: Simple contrastive learning of sentence embeddings,

Reference 31

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raw_fallback, observed 2026-07-08T19:05:30.961294Z

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 6e2bfe41-6e4d-45c4-86d7-a2332aff956d · outbound

This paper cites RankCSE: Unsupervised sentence representations learning via learning to rank,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability RankCSE: Unsupervised sentence representations learning via learning to rank,

Reference 32

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raw_fallback, observed 2026-07-08T19:05:30.949828Z

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 4522819b-96d2-4f38-902c-2a84a84e6cf6 · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability BERT: Pre-training of deep bidirectional transformers for language understanding,

Reference 33

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raw_fallback, observed 2026-07-08T19:05:30.951588Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:660b168d2796d8505c0e77b85dda2d715b05af5491cbdddc4bba22aeee6252cc

Observation 4f17039e-72ef-4ec0-8525-e8659ce6a069 · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability A simple framework for contrastive learning of visual representations,

Reference 34

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verified fuzzy
raw_fallback, observed 2026-07-08T19:05:30.953261Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:fcc9b778feb6b60372d16df3acb39b12a54700668e4d2b2c9a987405659b5c7c

Observation 03b7135f-3eee-4f55-aca6-98887041f82e · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Momentum contrast for unsupervised visual representation learning

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T19:05:30.962877Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:6f61f5369a94369a6db6ce39f3b59196a6c1e137f948cdbb7e33aae7dcc29d2a

Observation 8f5492b9-de96-4829-9834-3cabd26173fc · outbound

This paper cites Unsupervised learning of visual features by contrasting cluster assign- ments,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Unsupervised learning of visual features by contrasting cluster assign- ments,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T19:05:30.967680Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:d17da5488af1fc330075e9b497bf95baccd2c2c4e4b57bc458fcf942e93002ee

Observation ec23b49d-a639-470b-8ab0-d57d59b0cecb · outbound

This paper cites Contrastive represen- tation learning: A framework and review,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Contrastive represen- tation learning: A framework and review,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T19:05:31.013962Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:689def21b6a61ab803f0da2db8e5585bc7fa7e607c7975edc22f47244ba083ed

Observation 82d3726b-e21f-45c4-9989-6b9242dcefae · outbound

This paper cites Revisiting Scene Text Recognition: A Data Perspective.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Revisiting Scene Text Recognition: A Data Perspective

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-06-30T15:04:46.272449Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:90a22876989d8d15b88afa7db9aba10439330228834c064d353fb57d43f4fc9c

Observation da57b92f-3d3b-4578-8005-8b4043a9c5be · outbound

This paper cites Attention is all you need.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Attention is all you need

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T19:05:31.015439Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:a991b9b01ecaaa9b1ae0de0e4e71af918dbe1b998f2e80ce1cca486cfe53b6c3

Observation 190fb298-fb1c-40da-95c2-15c4c89c7e5d · outbound

This paper cites Distilling the knowledge in a neural network.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Distilling the knowledge in a neural network

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T19:05:31.016972Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:6f3116c692974f68ba71b1d388c741d54e7c6cee54071a6ed9c60dc3f66726b4

Observation 23c9df66-6316-4ed8-99d2-f0183589aefd · outbound

This paper cites Adam: A method for stochastic optimization.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Adam: A method for stochastic optimization

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T19:05:31.010793Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:ae5d8cd8f332c35e6f62f9cf400551009daac52afa39ddd72ae4433b00e5d7fa

Observation 02de3e9e-4db0-4579-b536-5f634c6ffd4a · outbound

This paper cites Deep learning for mmWave beam and blockage prediction using Sub-6 GHz channels,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Deep learning for mmWave beam and blockage prediction using Sub-6 GHz channels,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T19:05:31.018505Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:961438aa2e6c79624b6532e5a224a82a4f23ade7adbbf97f4fb8d30c7634935f

Observation 0e664b00-08ab-456e-b969-44c8645f7999 · outbound

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

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability DeepMIMO: A generic deep learning dataset for millimeter wave and massive MIMO applications,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T19:05:31.021847Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:962977b9477e3f941f42c3966e09bf79aa2257a26c0e10a0efa5d90647d31a16

Observation 9e27552f-dd2a-4aab-8f69-6c41cccecc9e · outbound

This paper cites Fast and eager k-medoids clustering: O(k) runtime improvement of the PAM, CLARA, and CLARANS algorithms,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Fast and eager k-medoids clustering: O(k) runtime improvement of the PAM, CLARA, and CLARANS algorithms,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T19:05:30.988866Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:8340bda614880f1c3dfa9ca036eab9448aa3629cb30fef183440c480adb765ea

Observation cb710d54-95e3-4719-b1b5-6c35c54447c4 · outbound

This paper cites Channel charting: Locating users within the radio environment using channel state information,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Channel charting: Locating users within the radio environment using channel state information,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T19:05:31.007539Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:bcdbcddc0950eb889256bba00009daadde6e1f0887a12cda8c66862e72474f5b

Observation 9b6cc8e3-b693-4553-9c7f-5053b1386c29 · outbound

This paper cites Triplet-based wireless channel charting: Architecture and experiments,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Triplet-based wireless channel charting: Architecture and experiments,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T19:05:30.987151Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:52d4abbd9f8b0f111cf9263d8e07a5415e562e1d57d90fb1e0b58915256bb79e

Observation f39730c6-ac1f-4d25-b883-0dd6b3e8be61 · outbound

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

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability LWM- Temporal: Sparse spatio-temporal attention for wireless channel repre- sentation learning,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T19:05:30.990789Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:340942b0ca73096312e649361670d410ac9985e2feefa7a10b72bdf4cd232f9a

Observation 1c8aba57-3702-4037-9ab0-80062253a655 · outbound

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

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability WiFo: Wireless foundation model for channel prediction,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T19:05:30.992418Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:fe0599042303651457945a8080d15522be9d188ef166e1a9e11d0a34fa83f996

Observation 7c85e233-62be-4435-8c97-d348da3e642b · outbound

This paper cites WirelessGPT: A generative pre-trained multi-task learning framework for wireless communication.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability WirelessGPT: A generative pre-trained multi-task learning framework for wireless communication

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T19:05:30.982234Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:d0dcdbb0109aa0041d5d104cf269e36b6cb2c24c51e63532d371c70525cd9bd9

Observation 36237356-37fd-4e4a-b2b5-26741382f1bc · outbound

This paper cites LWM-Spectro: A foundation model for wireless baseband signal spectrograms,.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability LWM-Spectro: A foundation model for wireless baseband signal spectrograms,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T19:05:31.025380Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:98a7b231fb80d0d4df2d702df14db26d488a41091b2a781a2a8dd0752a75a972

Observation 32518e6e-253b-4601-8667-9ed36faa32ab · outbound

This paper cites The algorithmic foundations of differential privacy.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability The algorithmic foundations of differential privacy

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T19:05:30.983904Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:4e3d326eddb29ce50b67e1f17a2502737fce029bc4502720b7382c46ec437b32

Observation fef66f78-d723-46e6-b79b-34732f8f78bf · outbound

This paper cites Deep learning with differential privacy.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Deep learning with differential privacy

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T19:05:30.985524Z

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.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:f904cd3a637df02ff6199e6f26a859b8ec2a0c6e6597e20eb01593cb9c29b6ed

Pith citing papers

No inbound Pith citation observations are available.