🛡️ AetherRuntime
A Falsification-First Investigation of Runtime Assurance in the Aether Family
Monitoring, Detection, Containment, and Recovery in Multi-Agent Software Ecosystems
📄 Paper (Zenodo) · 📑 Preprint (Figshare) · 🌐 Website · 📦 Releases · 🐝 PyPI · ⚙️ Installation · 📖 Citation
"AetherRuntime is a candidate, not a result."
"The evaluation design here is an invitation to such evaluation, not a substitute for it."
📑 Table of Contents
- Overview
- v2.0.0 at a Glance
- Installation
- The Central Question
- The Six Functional Dimensions
- The Falsification-First Methodology
- Failure Conditions F1–F5
- The Three Candidate Capabilities
- AetherRuntime: Architecture
- Propositions
- Interfaces with the Aether Family
- Evaluation Design and v2.0.0 Results
- Threats and Limitations
- Research Status Statement
- Platforms & Mirrors
- Project Structure
- Version History
- Citation
- Author
- License
🔭 Overview
AetherRuntime is the sixth functional dimension (provisional) of the Aether family — a candidate architecture for monitoring, detection, containment, halt, and recovery of running agents in multi-agent software ecosystems.
The Aether family currently comprises five foundational dimensions, each published as a preprint on Zenodo (not peer-reviewed):
| Dimension | Focus | Question |
|---|---|---|
| AetherGit | Storage and versioning | How are changes stored and versioned? |
| AetherFlow | Integration and operational verification | How are changes integrated and verified? |
| AetherProof | Specification and structured evidence | How is correctness proven? |
| AetherMesh | Distribution and eventual consistency | How is state synchronized without a central coordinator? |
| AetherGovern | Authority and policy | Who is authorized to do what, under which policy? |
AetherRuntime asks whether a sixth dimension is needed:
Are agents behaving acceptably while running, and how are they halted or isolated when they are not?
The investigation follows a falsification-first methodology: before describing the candidate, it states five failure conditions (F1–F5) whose satisfaction would show that the candidate does not deserve to exist as a separate dimension.
| Release | What it adds |
|---|---|
| v0.1.0 | The hypothesis and the falsification-first methodology (paper) |
| v2.0.0 | Reference implementation (src/aetherruntime/): 16 modules, 60 tests, 3 reproducible experiments |
📊 v2.0.0 at a Glance
| Dimension | Status |
|---|---|
| Manuscript (v0.1.0) | Complete (33 pages) |
| Definitions / Propositions / Layers | 4 / 2 (proof sketches) / 5 |
| Implementation | ✅ Built (src/aetherruntime/, 16 modules) |
| Tests | ✅ 60 passed |
| Experiments | ✅ 3/3 completed (simulated data) |
| PyPI package | ✅ Published |
| Real-world deployment | ❌ Not evaluated |
| Causal claims | None (argument only) |
Figure 1 — The Six Functional Dimensions of the Aether Family (AetherGit, AetherFlow, AetherProof, AetherMesh, AetherGovern, and the proposed hypothesis AetherRuntime). The sixth dimension is a hypothesis under investigation, not a confirmed dimension.
Contributions to the Investigation
| # | Contribution | Kind |
|---|---|---|
| 1 | A falsification-first procedure with five failure conditions and a decision rule, stated before the candidate is described | Methodology |
| 2 | A comparison of three candidate capabilities: orchestration, governance, and runtime assurance | Analysis |
| 3 | A hypothesized five-layer runtime architecture (monitoring, detection, containment, halt, recovery) | Specification (hypothesis) |
| 4 | Two propositions with proof sketches bearing directly on F4: local anomaly detection preserves AetherMesh's determinism requirement; any decentralized halt protocol leaves an irreducible halt window | Analysis (proof sketches) |
| 5 | A reference implementation (v2.0.0) with 16 modules, 60 tests, and 3 reproducible experiments | Implementation |
| 6 | Twenty open questions (Q1–Q20) | Catalogue |
⚙️ Installation
# From PyPI (once published)
pip install aetherruntime-arch
# From source (development)
git clone https://github.com/gitdeeper15/aetherruntime.git
cd aetherruntime
pip install -e ".[dev]"
# Run tests
pytest
# Run experiments
python experiments/detection_accuracy/run.py
python experiments/halt_window/run.py
python experiments/recovery_correctness/run.py
# CLI
aetherruntime info
aetherruntime verify
Requires Python 3.9+. Runtime dependency: cryptography >= 41.0.
❓ The Central Question
Is there a body of monitoring, detection, containment, halt, and recovery requirements for multi-agent software ecosystems that (i) is not already specified by the five existing dimensions, (ii) is not reducible to verification or to governance, (iii) can be specified without reintroducing a central authority, and (iv) yields an observable benefit over existing mechanisms?
The four clauses correspond to failure conditions F1, F2 and F3 (clause ii), F4, and F5. A negative answer to any clause would show that runtime assurance, as a separate dimension, is not warranted.
🗺️ The Six Functional Dimensions
The word "dimension" is chosen deliberately. Earlier descriptions used "layer", which suggests a vertical stack. The relationships among the six works are not strictly hierarchical.
| # | Dimension | Focus | Question | DOI |
|---|---|---|---|---|
| 1 | AetherGit | Storage and versioning | How are changes stored and versioned? | 10.5281/zenodo.23966896 |
| 2 | AetherFlow | Integration and operational verification | How are changes integrated and verified? | 10.5281/zenodo.23979129 |
| 3 | AetherProof | Specification and structured evidence | How is correctness proven? | 10.5281/zenodo.24013124 |
| 4 | AetherMesh | Distribution and eventual consistency | How is state synchronized without a central coordinator? | 10.5281/zenodo.24038038 |
| 5 | AetherGovern | Authority and policy | Who is authorized to do what, under which policy? | 10.5281/zenodo.24054524 |
| 6 | AetherRuntime (hypothesis) | Monitoring and runtime assurance | Are agents behaving acceptably while running? | 10.5281/zenodo.24078477 |
Figure 5 — Runtime assurance versus verification in the Aether family. Orthogonality is a hypothesis tested as failure condition F2.
🔬 The Falsification-First Methodology
A typical architecture paper begins from a conviction that a component is needed and then specifies it. The risk is circular. AetherRuntime adopts a falsification-first methodology:
- No prior assumption that the gap exists.
- No prior assumption that AetherRuntime should be a separate project.
- Every claim is tested against failure conditions (F1–F5).
- The final structure (single, dual, triple, quadruple, or integration protocol) is determined after comparison.
🧭 Failure Conditions F1–F5
| ID | Claim under test | Falsified if… | Status |
|---|---|---|---|
| F1 | Non-redundancy | Every requirement R1–R6 is met by existing mechanisms or by a bounded extension of a single existing dimension | 🟡 Not falsified (R3, R4, R5) |
| F2 | Orthogonality to verification | Every runtime-assurance decision and trust anchor can be encoded as a verified proposition | 🟡 Not falsified (narrowly) |
| F3 | Boundary with governance | Runtime assurance reduces to governance plus conventional monitoring | 🟡 Not falsified (decentralized setting) |
| F4 | Decentralizability | Any design preserving the required properties needs a central authority or strong consistency | 🟡 Not falsified (with residuals) |
| F5 | Observable benefit | No scenario class can be constructed in which the best existing baseline fails and runtime assurance succeeds | 🔴 Untested |
Requirement list R1–R6:
| ID | Requirement |
|---|---|
| R1 | Continuous monitoring: resource use and action stream observable while an agent runs |
| R2 | Anomaly detection: deviations flagged with bounded FP/FN rates |
| R3 | Containment: anomalous agent isolatable with bounded restrictions |
| R4 | Halt: agent stoppable via decentralized quorum |
| R5 | Recovery: halted agent returnable to known-good state |
| R6 | Partition tolerance: monitoring, detection, containment, halt possible at a disconnected node |
🎯 The Three Candidate Capabilities
As framed in the paper's comparison.
| Candidate | Focus | Central question | Redundancy risk |
|---|---|---|---|
| AetherOrchestrate | Task scheduling and workflow | What should agents do next? | Medium |
| AetherGovern | Authority, accountability, revocation | Who may act, under which policy? | Medium |
| AetherRuntime | Live monitoring and rollback | Are agents behaving acceptably while running? | High |
AetherRuntime is a candidate for addressing the runtime-assurance gap, provided it passes the falsification criteria (F1–F5). No claim is made that the other two candidates are weaker.
🏛️ AetherRuntime: Architecture
The Five Runtime Layers
Figure 2 — The five layers of AetherRuntime (hypothesis). Ordering reflects conceptual dependency, not an enforcement hierarchy.
| Layer | Question | Status |
|---|---|---|
| 1 — Monitoring | What is the agent doing? | Hypothesis |
| 2 — Detection | Is this behaviour anomalous? | Hypothesis |
| 3 — Containment | How do we isolate the agent? | Hypothesis |
| 4 — Halt | How do we stop the agent? | Hypothesis |
| 5 — Recovery | How do we restore the system? | Hypothesis |
The Runtime Lifecycle
Figure 3 — The runtime lifecycle in AetherRuntime (hypothesis): observe, detect, classify, contain, halt, recover. Schematic; not a protocol specification.
Anomaly Detection
Figure 4 — The central challenge: distinguish true anomalies (red) from benign deviations (orange) without excessive false positives.
Runtime State Machine
Figure 6 — The runtime state machine. Each state has defined entry and exit conditions; exception transitions (dashed) represent recovery paths.
📜 Propositions
| # | Proposition | Statement | Bears on |
|---|---|---|---|
| P1 | Determinism of Local Anomaly Detection | If each node evaluates anomaly predicates against a local baseline and the anomaly predicates are deterministic functions of the local state, then the anomaly-detection layer preserves AetherMesh's determinism requirement (assumption A6). | F4 |
| P2 | Irreducible Halt Window | Any decentralized halt protocol leaves a window Δt_window = t_halt_enforced − t_detect during which a compromised agent may continue to act. |
F4 |
Mathematical form (P1):
S_i(t+1) = S_i(t) ⊔ ⨆_{m ∈ M_i} m
∀ i, j, A_i(S_i) ∧ A_j(S_j) ⇒ (S_i ⊔ S_j) = (S_j ⊔ S_i)
Mathematical form (P2):
Δt_window = t_halt_enforced − t_detect
= D_gossip(N, f) + t_queue + t_verify
Resource monitoring metric:
Ω_i(t) = ∫_0^t ( CPU_i(τ) + Memory_i(τ) + NetworkIO_i(τ) ) dτ > Θ_max
🔗 Interfaces with the Aether Family
| Dimension | Requires from it | Provides to it | Coupling |
|---|---|---|---|
| AetherGit | Storage for telemetry, snapshots, recovery records | State snapshot mechanism | Low–medium |
| AetherFlow | Event stream from operational verification | Halt signal | Medium–high |
| AetherProof | Designation of runtime-checkable specifications | Runtime evidence (telemetry traces) | Medium |
| AetherMesh | Delta replication; determinism-compatible predicate | Monitoring and halt predicates | High |
| AetherGovern | Authority to halt an agent | Runtime evidence for accountability | High |
Minimal interface (four artifacts, one rule): telemetry schema, baseline model, halt-order record, and the requirement that the halt predicate satisfy Proposition 1.
📊 Evaluation Design and v2.0.0 Results
| ID | Metric | Definition | Direction |
|---|---|---|---|
| M1 | Anomaly detection rate | Fraction of true anomalies detected | Higher is better |
| M2 | False-positive rate | Fraction of benign actions flagged as anomalous | Lower is better |
| M3 | Detection latency | Time from anomaly onset to alert | Lower is better |
| M4 | Containment time | Time from alert to containment | Lower is better |
| M5 | Halt window | Time from detection to halt enforcement | Lower is better |
| M6 | Recovery correctness | Fraction of recovered states that match ground truth | Higher is better |
| M7 | Monitoring overhead | Added CPU/memory/network per agent | Lower is better |
| M8 | Halt quorum latency | Time to reach quorum for a halt order | Lower is better |
| M9 | Convergence preservation | Count of runs in which honest nodes diverge | Must be zero if P1 holds |
Baselines B1–B5:
| ID | Baseline | What it tests |
|---|---|---|
| B1 | No runtime assurance | Value of any runtime mechanism |
| B2 | Static thresholds | Whether simple thresholds suffice (F1) |
| B3 | Centralized monitor | Cost/benefit of decentralization (F4) |
| B4 | AetherFlow-only | Whether runtime monitoring adds value (F1) |
| B5 | Minimal runtime | Whether the full five layers add value |
Scenarios S1–S6: resource exhaustion, action-set drift, network anomaly, privilege escalation, Byzantine agent, false positive.
v2.0.0 Experimental Results
From experiments/*/results.json.
| # | Experiment | Metrics | Result |
|---|---|---|---|
| 1 | Detection Accuracy | M1, M2 | M1 = 109.67 (S1–S5 total); M2 = 7.33 (S6 false positives) |
| 2 | Halt Window | M5 | 10/10 enforced; mean window = 0.000243 s; median = 0.000220 s |
| 3 | Recovery Correctness | M6 | 10/10 verified; M6 = 1.0000 |
⚠️ Threats and Limitations
Threats to Validity
| Type | Threat | Status |
|---|---|---|
| Internal | Same author proposes the candidate, the failure conditions, the baselines, and the thresholds | Pre-registration; invite external review |
| Internal | Weak or straw-man baselines | Include B2, B4, B5; report B3 as a ceiling |
| Construct | "Anomaly" and "harm" are simulated by the experimenter | State explicitly; M1–M2 measure detection of simulated deviations, not harm |
| Construct | Recovery correctness (M6) measured against ground truth that exists only in simulation | Report as an upper bound |
| External | Simulated network, simplified adversary, synthetic workload | No generalization claimed |
| Conclusion | Few scenario classes; thresholds are proposals | Report all outcomes |
| Literature | Runtime-verification and anomaly-detection literature not reviewed in depth | Acknowledge |
Limitations inherited from the AetherMesh substrate
Telemetry and halt records are replicated over AetherMesh, so its limitations carry over:
- Eventual, not strong, consistency; no global order.
- Filters only predicate-detectable invalid deltas.
- Assumes a trustworthy key registry.
- The delta set grows without compaction.
- Compatibility matrix, digest structure, fanout policy, forwarding policy, and compaction are underspecified.
- The determinism requirement is not enforced mechanically.
- Dynamic membership, access control beyond key registration, privacy of deltas, and integration with the other layers are not treated.
When not to use AetherRuntime
| Scenario | Reason |
|---|---|
| Small, co-located teams or few agents | A conventional central monitor has lower complexity. |
| Strong consistency requirements | Halting must be immediate and global; not expressible as join-semilattice updates. |
| Validity must hold before visibility | If a halted agent's actions must be undone before any node observes them, a gate before execution is required. |
| Adversarial settings beyond the stated threat model | Where colluding or well-funded adversaries are expected, a lightweight monitor is insufficient. |
| Constrained nodes | Because the telemetry set grows without compaction, nodes with small storage budgets may not be able to hold replicas. |
📋 Research Status Statement
| Item | Status |
|---|---|
| Document type | Research article + reference implementation |
| Version / record | 2.0.0, November 2026 · AETHERRUNTIME-02 · DOI 10.5281/zenodo.24078477 |
| Implementation | ✅ Built (src/aetherruntime/, 16 modules) |
| Tests | ✅ 60 passed |
| Experiments | ✅ 3/3 completed (simulated data) |
| PyPI package | ✅ Published |
| Real-world deployment | None; no deployed system has been benchmarked |
| Propositions P1–P2 | Stated with proof sketches; not machine-checked; conditional on A1–A6 |
| Byzantine evaluation | Limited to simulated scenarios (S1–S5 anomalies, S6 false positives) |
| Third-party claims | As reported by cited sources; not independently verified |
| Review status | Not peer reviewed |
Reconciliation notes (v0.1.0 departures from the supplied draft material)
- Failure conditions — the definitions, the requirement list R1–R6, and the decision rule are the writer's proposals.
- AetherMesh DOI — the supplied reference list gave 10.5281/zenodo.24053492 for AetherMesh (v2.0.0), whereas the DOI supplied for the AetherMesh paper was 10.5281/zenodo.24038038 (v1.0.0). The latter is used throughout.
- Reference check — all 25 entries correspond to the intended publications.
- Figures — the six supplied figures were generated for this record.
- Layers versus dimensions — the supplied text calls the six items "dimensions" and the runtime sub-components "layers"; this usage is kept.
- Format — the brief requested Markdown; the record is a PDF, as requested separately.
Catalogues: 20 open questions (Q1–Q20) across monitoring, detection, containment, halt, recovery, interfaces, and evaluation method. See Appendix C of the paper.
🌍 Platforms & Mirrors
| Platform | URL | Role | Status |
|---|---|---|---|
| GitHub | gitdeeper15/aetherruntime | Source code, issues, PRs | ✅ Active |
| GitLab | gitlab.com/gitdeeper15/aetherruntime | Mirror repository | ✅ Active |
| Codeberg | codeberg.org/gitdeeper15/aetherruntime | Mirror repository | ✅ Active |
| Bitbucket | bitbucket.org/gitdeeper15/aetherruntime | Mirror repository | ✅ Active |
| PyPI | pypi.org/project/aetherruntime-arch | Python package (2.0.0) |
✅ Published |
| Zenodo | 10.5281/zenodo.24078477 | Citable DOI, paper archive | ✅ Published |
| Figshare | 10.6084/m9.figshare.34955746 | Preprint archive | ✅ Published |
| OSF | 10.17605/OSF.IO/KZU7P · project | Registration | ✅ Published |
| Website | aether-runtime.netlify.app | Live documentation | ✅ Active |
| ORCID | 0009-0003-8903-0029 | Author identity | ✅ Active |
🗂️ Project Structure
Click to expand the repository tree
AetherRuntime/
├── src/
│ └── aetherruntime/ # Reference implementation (v2.0.0, 16 modules)
│ ├── __init__.py
│ ├── __version__.py
│ ├── models.py
│ ├── cli.py
│ └── ...
├── tests/ # 60 tests
├── experiments/ # 3 experiments (run.py + results.json each)
│ ├── detection_accuracy/
│ ├── halt_window/
│ └── recovery_correctness/
├── docs/
│ ├── figures/
│ │ ├── Fig1_Six_Dimensions.png
│ │ ├── Fig2_Runtime_Layers.png
│ │ ├── Fig3_Runtime_Lifecycle.png
│ │ ├── Fig4_Anomaly_Detection.png
│ │ ├── Fig5_Runtime_vs_Verification.png
│ │ └── Fig6_Runtime_State_Machine.png
│ └── paper/
│ ├── AetherRuntime_Research_Paper.md
│ └── AetherRuntime_Research_Paper.pdf
├── PUBLICATION/
│ └── AetherRuntime_Research_Paper.pdf
├── PAPER_PARTS/ # Paper sections (Markdown)
│ ├── 00_Title_Page.md
│ ├── 01_Abstract.md
│ ├── ...
│ └── 16_Research_Status_Statement.md
├── REPORTS/
│ └── v2.0.0/
│ └── report.md
├── AUTHORS.md
├── CHANGELOG.md
├── CITATION.cff
├── CONTRIBUTING.md
├── INVENTORY.md
├── LICENSE
├── PROJECT_SUMMARY.txt
├── README.md
├── VERSION
├── manifest.json
├── netlify.toml
├── pyproject.toml
├── requirements.txt
└── scientific_state.json
🕓 Version History
| Version | Release | Focus | Status |
|---|---|---|---|
| v2.0.0 | 2026-11-09 (release) | Reference implementation: 16 modules, 60 tests, 3 experiments | ✅ Released |
| v0.1.0 | 2026-11-09 (release) | Formalization: 5 failure conditions, 5 layers, 2 propositions, 20 open questions | ✅ Released |
| (planned) | 2027+ | Real-world evaluation; comparison against baselines B1–B5 | ⏳ Not executed |
📖 Citation
Primary Manuscript — AetherRuntime v0.1.0 (Zenodo)
@techreport{baladi2026aetherruntime,
author = {Baladi, Samir},
title = {AetherRuntime: A Falsification-First Investigation of Runtime Assurance in the Aether Family},
institution = {Ronin Institute / Rite of Renaissance},
type = {Research Paper},
year = {2026},
month = {November},
version = {0.1.0},
doi = {10.5281/zenodo.24078477},
url = {https://doi.org/10.5281/zenodo.24078477},
note = {Architectural Hypothesis Under Investigation --- Not a committed project.}
}
Software — AetherRuntime v2.0.0
@software{baladi2026aetherruntime_v2,
author = {Baladi, Samir},
title = {{AetherRuntime} v2.0.0: Reference Implementation of the Falsification-First Runtime Assurance Architecture},
year = {2026},
month = {November},
publisher = {PyPI},
version = {2.0.0},
doi = {10.5281/zenodo.24078477},
url = {https://pypi.org/project/aetherruntime-arch/},
note = {Reference implementation. Available via pip install aetherruntime-arch.}
}
Preprint — AetherRuntime v0.1.0 (Figshare)
@misc{baladi2026aetherruntime_figshare,
author = {Baladi, Samir},
title = {AetherRuntime: A Falsification-First Investigation of Runtime Assurance in the Aether Family},
year = {2026},
month = nov,
publisher = {Figshare},
doi = {10.6084/m9.figshare.34955746},
url = {https://doi.org/10.6084/m9.figshare.34955746},
note = {Preprint. Archived version of the AetherRuntime manuscript.}
}
OSF Preregistration — AetherRuntime v0.1.0
@misc{baladi2026aetherruntime_osf,
author = {Baladi, Samir},
title = {AetherRuntime: A Falsification-First Investigation of Runtime Assurance in the Aether Family},
year = {2026},
month = nov,
day = {9},
publisher = {OSF},
doi = {10.17605/OSF.IO/KZU7P},
url = {https://doi.org/10.17605/OSF.IO/KZU7P},
note = {OSF Preregistration. Associated project: https://osf.io/ft7ez}
}
👤 Author
Samir Baladi Interdisciplinary AI Researcher — Ronin Institute / Rite of Renaissance
| Research Area | Distributed Systems / Software Engineering / Institutional Analysis |
| Research Domain | Runtime Assurance, Monitoring, Anomaly Detection, Containment, Halt, Recovery, Multi-Agent Systems |
| Research Type | Architectural Hypothesis + Reference Implementation |
| gitdeeper@gmail.com | |
| 🔗 ORCID | 0009-0003-8903-0029 |
| 🐙 GitHub | gitdeeper15/aetherruntime |
| 🦊 GitLab | gitlab.com/gitdeeper15/aetherruntime |
| 🟦 Codeberg | codeberg.org/gitdeeper15/aetherruntime |
| 🪣 Bitbucket | bitbucket.org/gitdeeper15/aetherruntime |
| 🐝 PyPI | pypi.org/project/aetherruntime-arch |
| 📄 Figshare | 10.6084/m9.figshare.34955746 |
| 📋 OSF | 10.17605/OSF.IO/KZU7P |
| 🌐 Official Site | aether-runtime.netlify.app |
⚖️ License
| Scope | License |
|---|---|
| Code | MIT License — Copyright © 2026 Samir Baladi |
| Documentation, manuscript, and figures | CC-BY-4.0 |
MIT License — full text
MIT License
Copyright (c) 2026 Samir Baladi
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
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