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pith:PPHZGVDF

pith:2025:PPHZGVDFDPUAZMY3QU6EM5PDB5
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Scensory: Real-Time Robotic Olfactory Perception for Joint Identification and Source Localization

Boyuan Chen, Claudia K. Gunsch, Erica Babusci, Yanbaihui Liu

Scensory enables robots to identify fungal species and localize sources from short VOC sensor readings using neural networks.

arxiv:2509.19318 v3 · 2025-09-11 · eess.SP · cs.RO

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\pithnumber{PPHZGVDFDPUAZMY3QU6EM5PDB5}

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

Across five fungal species, Scensory achieves up to 89.85% species accuracy and 87.31% source localization accuracy under ambient conditions with 3-7s sensor inputs.

C2weakest assumption

Temporal VOC dynamics encode both chemical and spatial signatures, which we decode through neural networks trained on robot-automated data collection with spatial supervision.

C3one line summary

Scensory uses neural networks trained on robot-collected VOC time series to jointly identify fungal species and localize sources, reporting up to 89.85% species accuracy and 87.31% localization accuracy from short inputs under ambient conditions.

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First computed 2026-05-29T01:04:55.987015Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

7bcf9354651be80cb31b853c4675e30f6c0ede7b6ef3bee2890dde24385bafa4

Aliases

arxiv: 2509.19318 · arxiv_version: 2509.19318v3 · doi: 10.48550/arxiv.2509.19318 · pith_short_12: PPHZGVDFDPUA · pith_short_16: PPHZGVDFDPUAZMY3 · pith_short_8: PPHZGVDF
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PPHZGVDFDPUAZMY3QU6EM5PDB5 \
  | 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: 7bcf9354651be80cb31b853c4675e30f6c0ede7b6ef3bee2890dde24385bafa4
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "eess.SP",
    "submitted_at": "2025-09-11T21:13:32Z",
    "title_canon_sha256": "1ff04de2c3b7ea3404b14583bbce2d9bad04762e70e121d1b700e3cadbcf31e3"
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