Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Page Freshness
Canonical route: /signal-canvas/ebuddy-a-workflow-orchestrator-for-industrial-human-machine-collaboration
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Canonical ID ebuddy-a-workflow-orchestrator-for-industrial-human-machine-collaboration | Route /signal-canvas/ebuddy-a-workflow-orchestrator-for-industrial-human-machine-collaboration
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/ebuddy-a-workflow-orchestrator-for-industrial-human-machine-collaborationMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "ebuddy-a-workflow-orchestrator-for-industrial-human-machine-collaboration",
"query_text": "Summarize EBuddy: a workflow orchestrator for industrial human-machine collaboration"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "EBuddy: a workflow orchestrator for industrial human-machine collaboration",
"normalized_query": "2603.28579",
"route": "/signal-canvas/ebuddy-a-workflow-orchestrator-for-industrial-human-machine-collaboration",
"paper_ref": "ebuddy-a-workflow-orchestrator-for-industrial-human-machine-collaboration",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 8
References: 21
Proof: Verification pending
Freshness state: computing
Source paper: EBuddy: a workflow orchestrator for industrial human-machine collaboration
PDF: https://arxiv.org/pdf/2603.28579v1
Source count: 3
Coverage: 50%
Last proof check: 2026-03-31T20:17:14.669Z
Signal Canvas receipt window
/buildability/ebuddy-a-workflow-orchestrator-for-industrial-human-machine-collaboration
Subject: EBuddy: a workflow orchestrator for industrial human-machine collaboration
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Preparing verified analysis
Dimensions overall score 7.0
No public code linked for this paper yet.
EBuddy operationalizes expert practice as a finite state machine (FSM) driven application
Explicitly and repeatedly stated as the core technical approach throughout the paper.
partial
the FSM provides an interpretable decision context, namely the current state and admissible actions
Directly stated as a key feature of the system's runtime operation.
partial
leveraging fully voice-based interaction through automatic speech recognition and intent understanding
Explicitly stated as a core interaction modality in the abstract and system description.
partial
EBuddy coordinates heterogeneous resources, including GUI-driven software and a collaborative robot
Directly stated as a capability, with specific examples provided.
partial
shows substantial reductions in end-to-end process duration across onboarding, 3D scanning and processing, and repair program generation
Claim about results is explicitly stated in the abstract, though specific numeric evidence is not provided in the given excerpts.
partial
FSMs support hierarchical composition: each FSM can invoke itself recursively or call other FSMs, enabling modular workflow organization
Directly stated as a design feature supporting extensibility and organization.
partial
EBuddy executes predefined sequences of GUI operations — such as button clicks, form completions, and menu selections — to automate third-party application workflows
Explicitly described as a method for automating third-party applications without direct API access.
partial
studies emphasize technologies that augment, rather than replace, human expertise. These findings support the design of EBuddy as an explicit workflow orchestration partner
Directly stated as a design philosophy aligned with Industry 5.0 principles.
partial
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Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/ebuddy-a-workflow-orchestrator-for-industrial-human-machine-collaboration
Paper ref
ebuddy-a-workflow-orchestrator-for-industrial-human-machine-collaboration
arXiv id
2603.28579
Generated at
2026-03-31T20:17:14.669Z
Evidence freshness
stale
Last verification
2026-03-31T20:17:14.669Z
Sources
3
References
21
Coverage
50%
Lineage hash
38ee0498bf70e5585f9ef15ad12ae837ab3a761d43fbe15a6f6978a029e4702a
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.
21 refs / 3 sources / Verification pending
repo_url
proof_status