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pith:UUVLGY6F

pith:2026:UUVLGY6FWFSA7JRLHEGDP5JEPT
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SymbolSight: Minimizing Inter-Symbol Interference for Reading with Prosthetic Vision

Jasmine Lesner, Michael Beyeler

Optimizing symbol-to-letter assignments can reduce predicted confusion in prosthetic reading by a median factor of 22 across languages.

arxiv:2601.17326 v2 · 2026-01-24 · cs.CV · cs.HC

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

C1strongest claim

Across simulations in Arabic, Bulgarian, and English, the resulting heterogeneous symbol sets reduced predicted confusion by a median factor of 22 relative to native alphabets.

C2weakest assumption

The neural proxy observer and simulated prosthetic vision (SPV) provide a sufficiently accurate model of actual human letter confusability under real prosthetic conditions.

C3one line summary

SymbolSight optimizes symbol-to-letter mappings via simulated prosthetic vision and bigram statistics, cutting predicted confusion by a median factor of 22 across Arabic, Bulgarian, and English.

References

28 extracted · 28 resolved · 0 Pith anchors

[1] Subretinal Photovoltaic Implant to Restore Vision in Geographic Atrophy Due to AMD, 2025
[2] Subretinal electronic chips allow blind patients to read letters and combine them to words, 2011
[3] The Argus II epiretinal prosthesis system allows letter and word reading and long- term function in patients with profound vision loss, 2013
[4] Learning to see again: biological constraints on cortical plasticity and the implications for sight restoration technologies, 2017
[5] Axonal stimulation affects the linear summation of single-point perception in three Argus II users, 2024

Formal links

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Receipt and verification
First computed 2026-05-18T03:09:24.308328Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

a52ab363c5b1640fa62b390c37f5247cc510c0cd0a64470f0d2be7fc3252b515

Aliases

arxiv: 2601.17326 · arxiv_version: 2601.17326v2 · doi: 10.48550/arxiv.2601.17326 · pith_short_12: UUVLGY6FWFSA · pith_short_16: UUVLGY6FWFSA7JRL · pith_short_8: UUVLGY6F
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UUVLGY6FWFSA7JRLHEGDP5JEPT \
  | 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: a52ab363c5b1640fa62b390c37f5247cc510c0cd0a64470f0d2be7fc3252b515
Canonical record JSON
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