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pith:L3JF2JY3

pith:2026:L3JF2JY3CAOKCOHNGASBB4XPDV
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MU-SHOT-Fi: Self-Supervised Multi-User Wi-Fi Sensing with Source-free Unsupervised Domain Adaptation

Ahmed Y. Radwan, Hina Tabassum

MU-SHOT-Fi adapts a pre-trained Wi-Fi model to new rooms and frequencies using only unlabeled target CSI and self-supervision.

arxiv:2605.01369 v2 · 2026-05-02 · eess.SP · cs.AI · cs.LG

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4 Citations open
5 Replications open
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Claims

C1strongest claim

MU-SHOT-Fi effectively recovers multi-user exact-activity classification performance under large domain shifts while maintaining accurate occupancy estimation and preventing collapse toward dominant classes.

C2weakest assumption

That the pre-trained source model provides a sufficiently rich feature backbone that frozen-classifier adaptation plus the proposed self-supervision signals can recover performance without any target labels or source data access.

C3one line summary

MU-SHOT-Fi recovers multi-user activity classification accuracy under domain shifts in WiFi CSI sensing using source-free adaptation with Hungarian matching, occupancy-weighted entropy regularization, and rotation prediction self-supervision.

Receipt and verification
First computed 2026-05-22T02:04:41.494382Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

5ed25d271b101ca138ed302410f2ef1d7659bc407134c20f1c0edb65950c79ea

Aliases

arxiv: 2605.01369 · arxiv_version: 2605.01369v2 · doi: 10.48550/arxiv.2605.01369 · pith_short_12: L3JF2JY3CAOK · pith_short_16: L3JF2JY3CAOKCOHN · pith_short_8: L3JF2JY3
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L3JF2JY3CAOKCOHNGASBB4XPDV \
  | 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: 5ed25d271b101ca138ed302410f2ef1d7659bc407134c20f1c0edb65950c79ea
Canonical record JSON
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    "abstract_canon_sha256": "981d0567238b2480aeb767f974b8a940411e44437362b68962d5941afe0869d6",
    "cross_cats_sorted": [
      "cs.AI",
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "eess.SP",
    "submitted_at": "2026-05-02T10:29:40Z",
    "title_canon_sha256": "88da9ded9568f2d079fc04ca23fc3d58397ea1b4e0a735e7ecbea01ac5eb7567"
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