Buildability / Receipt
SolarTformer: A Transformer Based Deep Learning Approach for Short Term Solar Power Forecasting
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
Watch and verify: SolarTformer: A Transformer Based Deep Learning Approach for Short Term Solar Power Forecasting
/buildability/solartformer-a-transformer-based-deep-learning-approach-for-short-term-solar-power-forecasting
Subject: SolarTformer: A Transformer Based Deep Learning Approach for Short Term Solar Power Forecasting
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.
Compute envelope
Data
{"file name": "input.pdf", "number of pages": 14, "author": "Ankan Basu; Jyotiraditya Roy; Aditya Datta; Prayas Sanyal; Sumanta Banerjee"
Compute
{"file name": "input.pdf", "number of pages": 14, "author": "Ankan Basu; Jyotiraditya Roy; Aditya Datta; Prayas Sanyal; Sumanta Banerjee", "title": "SolarTformer: A Transformer Based Deep Learning Approach for Short Term Solar Power Forecasting", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 14, "author": "Ankan Basu; Jyotiraditya Roy; Aditya Datta; Prayas Sanyal; Sumanta Banerjee", "title": "SolarTformer: A Transformer Based Deep Learning Approach for Short Term Solar Power Forecasting", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 14, "author": "Ankan Basu; Jyotiraditya Roy; Aditya Datta; Prayas Sanyal; Sumanta Banerjee", "title": "SolarTformer: A Transformer Based Deep Learning Approach for Short Term Solar Power Forecasting", "creation date": null, "modification date": null, "kids": []}
Evidence ids
Receipt path
/buildability/solartformer-a-transformer-based-deep-learning-approach-for-short-term-solar-power-forecasting
Paper ref
solartformer-a-transformer-based-deep-learning-approach-for-short-term-solar-power-forecasting
arXiv id
2604.24306
Freshness
Generated at
2026-04-28T15:16:46.285Z
Evidence freshness
fresh
Last verification
2026-04-28T15:16:46.285Z
Sources
3
References
0
Coverage
50%
Hash state
Lineage hash
21ef2a3591351c9d58d6d94ab880f53739b95b3b84a7170d68b248da81cd509e
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.