Buildability / Receipt
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
/buildability/improving-answer-extraction-in-context-based-question-answering-systems-using-llms
Subject: Improving Answer Extraction in Context-based Question Answering Systems Using LLMs
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.
Data
{"file name": "input.pdf", "number of pages": 7, "author": "Hafez Abdelghaffar; Ahmed Alansary; Ali Hamdi"
Truth Boundary
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.
Compute
{"file name": "input.pdf", "number of pages": 7, "author": "Hafez Abdelghaffar; Ahmed Alansary; Ali Hamdi", "title": "Improving Answer Extraction in Context-based Question Answering Systems Using LLMs", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 7, "author": "Hafez Abdelghaffar; Ahmed Alansary; Ali Hamdi", "title": "Improving Answer Extraction in Context-based Question Answering Systems Using LLMs", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 7, "author": "Hafez Abdelghaffar; Ahmed Alansary; Ali Hamdi", "title": "Improving Answer Extraction in Context-based Question Answering Systems Using LLMs", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/improving-answer-extraction-in-context-based-question-answering-systems-using-llms
Paper ref
improving-answer-extraction-in-context-based-question-answering-systems-using-llms
arXiv id
2606.06197
Generated at
2026-06-06T03:19:05.735Z
Evidence freshness
fresh
Last verification
2026-06-06T03:19:05.735Z
Sources
3
References
0
Coverage
50%
Lineage hash
3c05b77ac601e71562e935b7be6e42aff659e69ff4d67c23e51282e5d1708ef9
Canonical opportunity-kernel lineage hash.
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.
Canonical opportunity-kernel evidence is available for this receipt window.
repo_url
references