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/implicit-neural-representations-as-a-coordinate-based-framework-for-continuous-environmental-field-reconstruction-from-s
Subject: Implicit neural representations as a coordinate-based framework for continuous environmental field reconstruction from sparse ecological observations
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": 47, "author": "Agnieszka Pregowska; Hazem M. Kalaji"
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": 47, "author": "Agnieszka Pregowska; Hazem M. Kalaji", "title": "Implicit neural representations as a coordinate-based framework for continuous environmental field reconstruction from sparse ecological observations", "creation date": null, "modification date": null
Inference
{"file name": "input.pdf", "number of pages": 47, "author": "Agnieszka Pregowska; Hazem M. Kalaji", "title": "Implicit neural representations as a coordinate-based framework for continuous environmental field reconstruction from sparse ecological observations", "creation date": null, "modification date": null
Hardware
{"file name": "input.pdf", "number of pages": 47, "author": "Agnieszka Pregowska; Hazem M. Kalaji", "title": "Implicit neural representations as a coordinate-based framework for continuous environmental field reconstruction from sparse ecological observations", "creation date": null, "modification date": null
Receipt path
/buildability/implicit-neural-representations-as-a-coordinate-based-framework-for-continuous-environmental-field-reconstruction-from-s
Paper ref
implicit-neural-representations-as-a-coordinate-based-framework-for-continuous-environmental-field-reconstruction-from-s
arXiv id
2604.18083
Generated at
2026-04-21T04:18:54.638Z
Evidence freshness
stale
Last verification
2026-04-21T04:18:54.638Z
Sources
3
References
53
Coverage
67%
Lineage hash
f9b7ea338b1f35ac7e43bb548f24c67f3c095ee94894ceff6581feef3d88365e
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.
Some score or evidence fields are outside the preferred freshness window.
repo_url
proof_status