Paper Citation Record · LEDGER

Physics Equivariance for Robust Generalization in Wireless Foundation Model

As of 7 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2606.28847.

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

pith.paper-citation-record.v1
2606.28847 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T08:59:51.104895Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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 exact5
verified fuzzy9
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a9be8160-7b2b-4ed2-9046-26d4fa8380a8 · outbound

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

Physics Equivariance for Robust Generalization in Wireless Foundation Model A vision of 6G wireless systems: Applications, trends, technologies, and open research problems

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T03:26:44.988231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e5174c46-496a-4d32-ba90-eb01d4bc14dd · outbound

This paper cites AI-based time-, frequency-, and space-domain channel extrapolation for 6G: Opportuni- ties and challenges,.

Physics Equivariance for Robust Generalization in Wireless Foundation Model AI-based time-, frequency-, and space-domain channel extrapolation for 6G: Opportuni- ties and challenges,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T03:26:44.981460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6c1f767d-3022-4662-99ec-233eea6cee4e · outbound

This paper cites Scaling Laws for Neural Language Models.

Physics Equivariance for Robust Generalization in Wireless Foundation Model Scaling Laws for Neural Language Models

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-30T09:04:32.648115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a2903d7c-b9ca-4012-b6a7-128915453a61 · outbound

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

Physics Equivariance for Robust Generalization in Wireless Foundation Model WiFo: Wireless foundation model for channel prediction

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T03:26:44.983098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a8670099-f4ba-4b85-9415-e891e72760c0 · outbound

This paper cites HeterCSI: Channel-adaptive heterogeneous CSI pretraining framework for gener- alized wireless foundation models.

Physics Equivariance for Robust Generalization in Wireless Foundation Model HeterCSI: Channel-adaptive heterogeneous CSI pretraining framework for gener- alized wireless foundation models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:04:32.645717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1980e851-c913-45c7-bb91-d3b2301008e7 · outbound

This paper cites an unresolved cited work.

Physics Equivariance for Robust Generalization in Wireless Foundation Model Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-07-10T03:26:44.984662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f258cd7d-51af-446b-9f35-80f9b3792ee1 · outbound

This paper cites Large language models for wireless communications: From adaptation to autonomy,.

Physics Equivariance for Robust Generalization in Wireless Foundation Model Large language models for wireless communications: From adaptation to autonomy,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T03:26:44.989889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7b41af75-1805-41f7-82ed-73dc5b0d1d74 · outbound

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

Physics Equivariance for Robust Generalization in Wireless Foundation Model Study on channel model for frequencies from 0.5 to 100 GHz,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T03:26:44.991516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ca682991-cb6c-44db-9a88-91fa0b9dc43d · outbound

This paper cites Qwen3 Technical Report.

Physics Equivariance for Robust Generalization in Wireless Foundation Model Qwen3 Technical Report

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-06-30T09:04:32.653046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d9673f25-e4b0-4fdd-8dc7-4c8382fce072 · outbound

This paper cites Attention is all you need.

Physics Equivariance for Robust Generalization in Wireless Foundation Model Attention is all you need

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T03:26:44.993075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f7a5be85-e674-457b-ad5b-c5604b323f04 · outbound

This paper cites Deep learning for fading channel prediction,.

Physics Equivariance for Robust Generalization in Wireless Foundation Model Deep learning for fading channel prediction,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T03:26:44.995290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b834eb01-35da-45a2-968b-91d82c2185b7 · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting,.

Physics Equivariance for Robust Generalization in Wireless Foundation Model Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T03:26:44.997126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f10d2590-d7e4-4675-8e24-7de569537e8e · outbound

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

Physics Equivariance for Robust Generalization in Wireless Foundation Model WAIR-D: Wireless AI Research Dataset

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:04:32.650581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b739ffa8-129d-408c-9eb2-2b37626c942d · outbound

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

Physics Equivariance for Robust Generalization in Wireless Foundation Model DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-06-30T09:04:32.643053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b0da655f-82b8-450d-89b0-15f68d0da200 · outbound

This paper cites Massive MIMO channels with inter-user angle correlation: Open-access dataset, analysis and measurement-based validation,.

Physics Equivariance for Robust Generalization in Wireless Foundation Model Massive MIMO channels with inter-user angle correlation: Open-access dataset, analysis and measurement-based validation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T03:26:44.986369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.