Buildability / Receipt
Agentic AI for Personalized Physiotherapy: A Multi-Agent Framework for Generative Video Training and Real-Time Pose Correction
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: Agentic AI for Personalized Physiotherapy: A Multi-Agent Framework for Generative Video Training and Real-Time Pose Correction
/buildability/agentic-ai-for-personalized-physiotherapy-a-multi-agent-framework-for-generative-video-training-and-real-time-pose-corre
Subject: Agentic AI for Personalized Physiotherapy: A Multi-Agent Framework for Generative Video Training and Real-Time Pose Correction
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": 3, "author": "Abhishek Dharmaratnakar; Srivaths Ranganathan; Anushree Sinha; Debanshu Das"
Compute
{"file name": "input.pdf", "number of pages": 3, "author": "Abhishek Dharmaratnakar; Srivaths Ranganathan; Anushree Sinha; Debanshu Das", "title": "Agentic AI for Personalized Physiotherapy: A Multi-Agent Framework for Generative Video Training and Real-Time Pose Correction", "creation date": null
Inference
{"file name": "input.pdf", "number of pages": 3, "author": "Abhishek Dharmaratnakar; Srivaths Ranganathan; Anushree Sinha; Debanshu Das", "title": "Agentic AI for Personalized Physiotherapy: A Multi-Agent Framework for Generative Video Training and Real-Time Pose Correction", "creation date": null
Hardware
{"file name": "input.pdf", "number of pages": 3, "author": "Abhishek Dharmaratnakar; Srivaths Ranganathan; Anushree Sinha; Debanshu Das", "title": "Agentic AI for Personalized Physiotherapy: A Multi-Agent Framework for Generative Video Training and Real-Time Pose Correction", "creation date": null
Evidence ids
Receipt path
/buildability/agentic-ai-for-personalized-physiotherapy-a-multi-agent-framework-for-generative-video-training-and-real-time-pose-corre
Paper ref
agentic-ai-for-personalized-physiotherapy-a-multi-agent-framework-for-generative-video-training-and-real-time-pose-corre
arXiv id
2604.21154
Freshness
Generated at
2026-04-24T20:28:59.140Z
Evidence freshness
stale
Last verification
2026-04-24T20:28:59.140Z
Sources
3
References
0
Coverage
50%
Hash state
Lineage hash
23d89b2f1c1ee5b63469b248b03569cbe7deef6ca291422be2239b4467043245
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
Some score or evidence fields are outside the preferred freshness 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.