Buildability / Receipt
Math Education Digital Shadows for facilitating learning with LLMs: Math performance, anxiety and confidence in simulated students and AIs
This public receipt window renders only fields present in the canonical receipt object, deterministic fixture receipt, or canonical evidence receipt. Missing compute, demo, hash, signature, approval, telemetry, and adoption fields stay explicit.
Public buildability page receipt window
Not build-ready: Math Education Digital Shadows for facilitating learning with LLMs: Math performance, anxiety and confidence in simulated students and AIs
/buildability/math-education-digital-shadows-for-facilitating-learning-with-llms-math-performance-anxiety-and-confidence-in-simulated
Subject: Math Education Digital Shadows for facilitating learning with LLMs: Math performance, anxiety and confidence in simulated students and AIs
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Compute envelope
Data
{"file name": "input.pdf", "number of pages": 34, "author": "Naomi Esposito; Anthony Tricarico; Luisa Porzio; Ali Aghazadeh Ardebili; Massimo Stella"
Compute
{"file name": "input.pdf", "number of pages": 34, "author": "Naomi Esposito; Anthony Tricarico; Luisa Porzio; Ali Aghazadeh Ardebili; Massimo Stella", "title": "Math Education Digital Shadows for facilitating learning with LLMs: Math performance, anxiety and confidence in simulated students and AIs"
Inference
{"file name": "input.pdf", "number of pages": 34, "author": "Naomi Esposito; Anthony Tricarico; Luisa Porzio; Ali Aghazadeh Ardebili; Massimo Stella", "title": "Math Education Digital Shadows for facilitating learning with LLMs: Math performance, anxiety and confidence in simulated students and AIs"
Hardware
{"file name": "input.pdf", "number of pages": 34, "author": "Naomi Esposito; Anthony Tricarico; Luisa Porzio; Ali Aghazadeh Ardebili; Massimo Stella", "title": "Math Education Digital Shadows for facilitating learning with LLMs: Math performance, anxiety and confidence in simulated students and AIs"
Evidence ids
Receipt path
/buildability/math-education-digital-shadows-for-facilitating-learning-with-llms-math-performance-anxiety-and-confidence-in-simulated
Paper ref
math-education-digital-shadows-for-facilitating-learning-with-llms-math-performance-anxiety-and-confidence-in-simulated
arXiv id
2604.27618
Freshness
Generated at
2026-05-01T15:05:30.597Z
Evidence freshness
fresh
Last verification
2026-05-01T15:05:30.597Z
Sources
3
References
0
Coverage
50%
Hash state
Lineage hash
d3beec83e7f2e845c32eb5310be46078fb36404cee28b6ef543706b2fb195846
Canonical opportunity-kernel lineage hash.
Signature state
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Blockers
- Missing: repo_url
- Missing: references
- Missing: proof_status
- Unknown: proof verification has not been recorded yet
Canonical opportunity-kernel evidence is available for this receipt window.
repo_url
references
Truth Boundary
External gate remains unresolved for live deployment claims.
Buildability surfaces only report computed viability and proof receipts. They do not claim live production usage, pilot outcomes, founder sign-off, public Brier calibration, judge divergence, or external adoption unless explicitly sourced.