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pith:LS7YXZ3Q

pith:2026:LS7YXZ3QDT7PVK6D3RCIZR3RTE
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CSI-JEPA: Towards Foundation Representations for Ubiquitous Sensing with Minimal Supervision

Xuanhao Luo, Yuchen Liu, Zhizhen Li

CSI-JEPA learns reusable temporal-spectral representations from unlabeled Wi-Fi channel state information through masked prediction of latent features.

arxiv:2605.14171 v1 · 2026-05-13 · cs.LG · cs.NI

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\pithnumber{LS7YXZ3QDT7PVK6D3RCIZR3RTE}

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5 Replications open
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Claims

C1strongest claim

CSI-JEPA improves downstream sensing performance over competitive baselines, achieving up to 10.64 percentage points mean accuracy gain over state-of-the-art supervised Transformer and matched-budget label savings of up to 98.0%.

C2weakest assumption

That representations learned via masked prediction on unlabeled CSI transfer effectively to diverse downstream tasks and deployment settings with only lightweight adapters and no substantial domain shift.

C3one line summary

CSI-JEPA learns temporal-spectral representations from unlabeled CSI via masked prediction and achieves up to 10.64 percentage points accuracy gain and 98% label savings on seven real-world Wi-Fi sensing tasks.

References

39 extracted · 39 resolved · 1 Pith anchors

[1] Deep AI enabled ubiquitous wireless sensing: A survey, 2021
[2] Cross-domain WiFi sensing with channel state information: A survey, 2023
[3] WiFi sensing with channel state information: A survey, 2019
[4] Wi-Fi can do more: Toward ubiquitous wireless sensing, 2022
[5] Wireless sensing for human activity: A survey, 2019

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-17T23:39:11.353327Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

5cbf8be7701cfefaabc3dc448cc771991479a7c8d90840297122deafcda6a367

Aliases

arxiv: 2605.14171 · arxiv_version: 2605.14171v1 · doi: 10.48550/arxiv.2605.14171 · pith_short_12: LS7YXZ3QDT7P · pith_short_16: LS7YXZ3QDT7PVK6D · pith_short_8: LS7YXZ3Q
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LS7YXZ3QDT7PVK6D3RCIZR3RTE \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 5cbf8be7701cfefaabc3dc448cc771991479a7c8d90840297122deafcda6a367
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
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    "submitted_at": "2026-05-13T22:50:31Z",
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