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/ress-learning-reasoning-models-for-tabular-data-prediction-via-symbolic-scaffold
Subject: ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Data
Symbolic Scaffold Chenlang Yi * 1 Gang Li * 1 Zizhan Xiong 1 Tue Minh Cao2 Yanmin Gong1 My T
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
Symbolic Scaffold Chenlang Yi * 1 Gang Li * 1 Zizhan Xiong 1 Tue Minh Cao2 Yanmin Gong1 My T. Thai2 Tianbao Yang1 Abstract Tabular data remains prevalent in high-stakes do- mains such as healthcare and finance, where pre- dictive models are expected to provide both high accuracy and faithful
Inference
Symbolic Scaffold Chenlang Yi * 1 Gang Li * 1 Zizhan Xiong 1 Tue Minh Cao2 Yanmin Gong1 My T. Thai2 Tianbao Yang1 Abstract Tabular data remains prevalent in high-stakes do- mains such as healthcare and finance, where pre- dictive models are expected to provide both high accuracy and faithful
Hardware
Symbolic Scaffold Chenlang Yi * 1 Gang Li * 1 Zizhan Xiong 1 Tue Minh Cao2 Yanmin Gong1 My T. Thai2 Tianbao Yang1 Abstract Tabular data remains prevalent in high-stakes do- mains such as healthcare and finance, where pre- dictive models are expected to provide both high accuracy and faithful
Receipt path
/buildability/ress-learning-reasoning-models-for-tabular-data-prediction-via-symbolic-scaffold
Paper ref
ress-learning-reasoning-models-for-tabular-data-prediction-via-symbolic-scaffold
arXiv id
2604.13392
Generated at
2026-04-16T18:18:38.672Z
Evidence freshness
stale
Last verification
2026-04-16T18:18:38.672Z
Sources
3
References
0
Coverage
50%
Lineage hash
f267a26c9aa27ec1e0b1c2bda9581113f1f2655d44e0f637d4ef6fa9e70a47c5
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
references