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ARXIV:2604.05080 · AI ENGINEERING · SUBMITTED 08 APR · 05:54 UTC · FRESHNESS UNKNOWN
ARXIV:2604.05080AI ENGINEERINGSUBMITTED 08 APR · 05:54 UTCFRESHNESS UNKNOWNDanil Gorinevski · arXiv
Presents Nidus, a governance runtime that mechanizes the V-model for AI-assisted software delivery, ensuring engineering invariants through externalized reasoning.
Opportunity summary
Pain Presents Nidus, a governance runtime that mechanizes the V-model for AI-assisted software delivery, ensuring engineering invariants through externalized reasoning.
Evidence 0 refs | 0 sources | 0% coverage
Blocker Evidence unverified
Presents Nidus, a governance runtime that mechanizes the V-model for AI-assisted software delivery, ensuring engineering invariants through externalized reasoning. In the self-hosting deployment, three LLM families (Claude, Gemini, Codex) delivered a 100,000-line system under…
We present Nidus, a governance runtime that mechanizes the V-model for AI-assisted software delivery. In the self-hosting deployment, three LLM families (Claude, Gemini, Codex) delivered a 100,000-line system under proof obligations verified against the…
ScienceToStartup currently rates this 3.0/10 on the public viability pass. The artifact's development history is a formal development - every state satisfies all active obligations, and the obligation set grows monotonically.
AI Engineering moved forward this cycle; last verified April 2026. Public score 3.0/10.
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Presents Nidus, a governance runtime that mechanizes the V-model for AI-assisted software delivery, ensuring engineering invariants through externalized reasoning.
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Paper Pack
10.48550/arXiv.2604.05080Presents Nidus, a governance runtime that mechanizes the V-model for AI-assisted software delivery, ensuring engineering invariants through externalized reasoning.
Abstract
We present Nidus, a governance runtime that mechanizes the V-model for AI-assisted software delivery. In the self-hosting deployment, three LLM families (Claude, Gemini, Codex) delivered a 100,000-line system under proof obligations verified against the current obligation set on every commit. The system governed its own construction. Engineering invariants - traced requirements, justified architecture, evidenced deliveries - cannot be reliably maintained as learned behavior; assurance requires enforcement by a mechanism external to the proposer. Nidus externalizes the engineering methodology into a decidable artifact verified on every mutation before persistence. Organizational standards compile into guidebooks - constraint libraries imported by governed projects and enforced by decidable evaluation. Four contributions: (1) recursive self-governance - the constraint surface constrains mutations to itself; (2) stigmergic coordination - friction from the surface routes agents without central control; (3) proximal spec reinforcement - the living artifact externalizes the engineering context that RL and long-chain reasoning try to internalize; the specification is the reward function, UNSAT verdicts shape behavior at inference time, no weight updates; (4) governance theater prevention - compliance evidence cannot be fabricated within the modeled mutation path. The constraint surface compounds: each obligation permanently eliminates a class of unengineered output. The artifact's development history is a formal development - every state satisfies all active obligations, and the obligation set grows monotonically.
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Proof status
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What was readable
Derived fallback: Estimated from adjacent evidence; not verified from source.
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Dimensions overall score 3.0
PROBLEM
Presents Nidus, a governance runtime that mechanizes the V-model for AI-assisted software delivery, ensuring engineering invariants through externalized reasoning. In the self-hosting deployment, three LLM families (Claude, Gemini, Codex) delivered a 100,000-line system under pr...
METHOD
We present Nidus, a governance runtime that mechanizes the V-model for AI-assisted software delivery. In the self-hosting deployment, three LLM families (Claude, Gemini, Codex) delivered a 100,000-line system under proof obligations verified against the current obligation set on...
RESULT
ScienceToStartup currently rates this 3.0/10 on the public viability pass. The artifact's development history is a formal development - every state satisfies all active obligations, and the obligation set grows monotonically.
WHY NOW
AI Engineering moved forward this cycle; last verified April 2026. Public score 3.0/10.
Abstract-backed public claims while anchored extraction refreshes.
Presents Nidus, a governance runtime that mechanizes the V-model for AI-assisted software delivery, ensuring engineering invariants through externalized reasoning. In the self-hosting deployment, three LLM families (Claude, Gemini, Codex) delivered a 100,000-line system under proof obligations verified against the current obligation set on every commit.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
We present Nidus, a governance runtime that mechanizes the V-model for AI-assisted software delivery. In the self-hosting deployment, three LLM families (Claude, Gemini, Codex) delivered a 100,000-line system under proof obligations verified against the current obligation set on every commit.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
ScienceToStartup currently rates this 3.0/10 on the public viability pass. The artifact's development history is a formal development - every state satisfies all active obligations, and the obligation set grows monotonically.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
AI Engineering moved forward this cycle; last verified April 2026. Public score 3.0/10.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
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Concepts
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Presents Nidus, a governance runtime that mechanizes the V-model for AI-assisted software delivery, ensuring engineering invariants through externalized reasoning.
Segment
AI Engineering
Adoption evidence
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Commercial read
3.0/10 public viability
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Adjacent
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Build Passport
Build passport pending - Proof Lab budget No verified cost estimate / $7.00 cap
status
missing
reason
passport_row_missing
proof status
unverified
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No verified cost estimate
confidence low
next verification path
Build brief missing until Build Passport data exists.
Source missing: Build Passport payload.
Experiment plan missing until prototype path is available.
No prototype path attached.
Validation checklist missing until required assets, cost, and regulatory flags are verified.
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Derived signals show verified:false until source-backed receipts exist.
Evidence coverage
OpportunityKernel evidence_receipt
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Build readiness
BuildPassport EvidenceState
passport absent
unknown
Run Proof Lab or inspect typed missing state. verified:false
Artifact maturity
GitHub and Hugging Face maturity payloads
No public artifact surface observed
unknown
Open source artifacts or mark the gap as missing. verified:false
Technical feasibility
partial
Current read
Runnable path is not fully verified.
Evidence
No Build Passport payload attached.
Gaps
Next test
Run minimal reproduction from the Build Passport prototype path.
Market urgency
missing
Current read
Buyer urgency is not verified from source.
Evidence
0 references, 0 sources, 0% evidence coverage.
Gaps
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Collect buyer interview, deployment evidence, or cited demand signal.
Buyer clarity
missing
Current read
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Evidence
Build tab has no CRM, procurement, or operator source.
Gaps
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Defensibility
missing
Current read
Defensibility signals are missing.
Evidence
No defensibility receipt attached.
Gaps
Next test
Refresh defensibility bars with source receipts.
Integration burden
missing
Current read
No public implementation surface observed.
Evidence
No GitHub or Hugging Face payload attached.
Gaps
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Write integration checklist from prototype path and target workflow.
Capital intensity
missing
Current read
No observed cost estimate is verified.
Evidence
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Run cost passport or mark the cost field not applicable.
Regulatory load
missing
Current read
No regulatory classification is attached.
Evidence
Build Passport ledger does not include regulatory flags.
Gaps
Next test
Classify regulatory flags before commercialization planning.
No named scientific founder assigned.
Paper authors are not treated as operators without consent.
People
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Gaps
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Prototype owner missing.
Build Passport does not name an implementer.
People
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Gaps
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Operator workflow not sourced.
No buyer or workflow interview attached.
People
No named person assigned.
Gaps
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No CRM or outreach source attached.
People
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Gaps
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Regulatory need unclassified.
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Gaps
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ARTIFACTS
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DEFENSIBILITY
Defensibility and confidence evidence pending.
WATCHTOWER
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FORESIGHT
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OPPORTUNITYKERNEL CHANGES SINCE LAST VIEW
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RELATED PAPER UPDATES
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TIMELINE
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BUZZ
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