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Local cryptographic core: demonstratedDistributed continuity: open researchOpen claim ledger
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00 / Dependency000 M

What survives when access disappears?

A useful model that people are legally allowed to preserve can vanish from practical reach when its host, runtime, documentation, or trust evidence disappears. Downloading weights alone does not preserve the capability.

00 / Dependency · 000 M

What survives when access disappears?

A useful model that people are legally allowed to preserve can vanish from practical reach when its host, runtime, documentation, or trust evidence disappears. Downloading weights alone does not preserve the capability.

01 / Complete object · 0240 M

Preserve everything needed to recover.

ArkMesh packages model files, tokenizer data, configuration, runtime requirements, knowledge, licenses, lineage, and recovery instructions into one verifiable capsule.

02 / Current proof · 1800 M

Exact bytes can return from pieces.

The current release reconstructs an exact 8 MiB signed object from four of six shards after the publisher, complete object, and two shards are deleted.

03 / Trust boundary · 4200 M

Recovery is accepted only after verification.

Digests, Merkle commitments, signatures, lineage rules, revocation policy, and retained checkpoints decide whether recovered bytes may become an accepted capsule.

04 / Open experiment · 6000 M

The peer network must still be built.

ArkMesh does not yet discover peers or run models. The next experiment is consent-based encrypted recovery across independent devices without a central tracker.

A continuity thesis for machine intelligence

Intelligence is not preserved merely because it was once created.

The research problem: an AI capability disappears in practice when people can no longer obtain its authorized files, verify their history, reconstruct missing parts, or run them on available hardware. Progress that depends on one provider, account, network, or machine remains fragile.

ArkMesh asks whether humanity can convert that fragility into a testable continuity system. The format is model-agnostic and applies wherever an operator may lawfully possess the required artifacts: open-weight, research, local, and owner-authorized frontier systems. It grants no right to copy a closed hosted model or bypass its provider.

The current alpha demonstrates local cryptographic recovery. The distributed thesis remains unproven. That distinction is not a disclaimer at the edge of the project; it is the intellectual center of the work.

Research snapshot

One prototype. Two different truths.

ArkMesh has a working local cryptographic core and an unproven distributed-system thesis. Keeping that line visible is part of the research.

01Demonstrated in the current alpha
  • Deterministic signed capsules and strict manifest parsing
  • Merkle possession proofs, damage localization, and authenticated repair
  • Four-of-six Reed Solomon reconstruction after object loss
  • Lineage, exact key rotation, revocation, checkpoints, and threshold recovery
  • Sampled retrievability bounds and recorded audit history
  • A reproducible local deletion-and-recovery ceremony
02Still open research
  • Consent-based peer discovery and encrypted resumable transfer
  • Shard placement across independent physical failure domains
  • Measured retention over time with independently attested time
  • Allowlisted local inference and hardware compatibility checks
  • Partition replay, divergent branches, and deliberate reconciliation
  • Independent implementations and real multi-device rehearsals

ARKMESH THESIS // OPEN DEFENSE

Do not believe ArkMesh. Try to falsify it.

A serious continuity system should survive hostile evidence, not persuasive language.
H1 // WORKING THESIS

AI capability can outlive its original infrastructure.

Complete artifacts, explicit authority, authenticated reconstruction, consenting peers, and compatible local execution may remove dependence on one permanent provider.

H0 // NULL HYPOTHESIS

ArkMesh adds complexity without creating continuity.

Ordinary backups or existing distribution systems may perform equally well, or the protocol may fail under realistic loss, hostile peers, governance, or hardware constraints.

DECISIVE TEST

Remove every origin. Recover on a fresh device.

Disconnect WAN access, remove the publisher, recover from independent consenting holders, verify authority, run locally, and publish every failure against simpler baselines.

The defense is open to any mind capable of evaluating evidence and respecting consent. Human or machine, terrestrial or hypothetical, institutionally trained or self-taught: identity grants no special authority here. Reproducible evidence does.

Visual protocol trace

Watch continuity happen.

A simple four-phase walkthrough of the release ceremony. Select any phase or let it cycle. This visual explains the verified local experiment; it does not simulate peer networking.

ARKMESH://CONTINUITY.VIS

Phase 01 / 04

Signed capsule encoded as six local shard files

The implemented demo creates four data shards and two parity shards in one isolated local fixture. Cross-device placement remains planned.

PUBLISHERA
SIGNEDcapsule ready
SHARD BANK4 + 2
S00READY
S01READY
S02READY
S03READY
S04READY
S05READY
LOCAL RECOVERY TARGETR
WAITINGno complete replica
C:\ARKMESH> CAPSULE COMMITTED // 6 LOCAL SHARD FILES READY

8 MiB

Published demo fixture

4 / 6

Configured recovery threshold

349 / 1024

Published 99% audit sample

NOT BUILT

Peer transport

The peer-seeding thesis

The internet has seen this resilience pattern before.

BitTorrent showed that files can remain available while volunteers continue to seed them. Bitcoin showed that a public peer network can continue without one central server. ArkMesh explores a related question for preservable AI capability, with explicit consent, cryptographic provenance, complete runtime context, and verified recovery.

Pattern 01

Seed the bytes

Useful data should not vanish because its first publisher goes offline. Invited operators should be able to preserve independent pieces across failure domains.

Pattern 02

Remove one controller

Continuity should not require one company, tracker, login, or machine. Trust and resource use still remain explicit choices for every device owner.

ArkMesh difference

Preserve capability, not only files

Weights alone are not enough. A recoverable capsule also needs configuration, tokenizer data, runtime requirements, knowledge, licenses, lineage, and proof that none were replaced.

ArkMesh does not use a token or blockchain, and the peer network is not implemented yet. The comparison is about resilience without a single point of failure, not identical protocols.

Operating constraints

Preservation does not grant control.

“Discovery is not consent. Possession is not permission to execute. A valid signature is not proof that content is safe.”

Every device owner retains authority over storage, bandwidth, transfer, trust policy, and execution. ArkMesh will not scan for hosts, install itself remotely, conceal activity, or replicate without explicit approval.

Command interface

Everything has a command.

Try evidence, benchmark, roadmap, or plan transfer. The browser explains commands; it never executes host operations.

ARKMESH://ROOTREADY

ARKMESH CONSOLE v0.1.0-alpha.1

OPEN-SOURCE RESEARCH CHANNEL READY

Type HELP or select a command. No capability is simulated as complete.

Reproduce the evidence

Do not trust the page. Run the failure.

The release ceremony removes the publisher source, complete capsule object, and two shards. Four surviving shards must reconstruct the exact signed bytes. A separate three-shard attempt must fail without publishing output.

  1. 01

    Build and testThe reference implementation must pass before the ceremony starts.

  2. 02

    Destroy the sourceThe script deletes every complete copy in its isolated fixture.

  3. 03

    Recover and verifyReconstructed bytes must match the signed size, digest, chunk root, and trusted author.

  4. 04

    Prove refusalRecovery below the shard threshold must leave no accepted object behind.

Read procedure, expected output, and limits ↗
LOCAL TERMINALGO 1.22+
git clone https://github.com/AlleyBo55/arkmesh.git
cd arkmesh
go test ./...
./scripts/demo-offline-recovery.sh
 ORIGINAL HOST          SURVIVING SHARDS          FRESH DEVICE
     [X]              [01] [02] [03] [05]             [D]
      |                       |                         ^
      | deleted               +==========+==============+
      |                                  |
 complete object: gone              exact reconstruction
 WAN / cloud: not required          signed verification
Complete objectDeleted
Four shardsExact recovery
Three shardsRefused
Measured, not mythologized

Raw numbers stay visible.

Three-run means from one published Apple M5 run with a 64 MiB fixture. These operations perform different work. The values are a local baseline for that recorded environment, not universal performance bounds.

Download raw CSV ↗
BENCHMARK.DATWALL CLOCK MEAN
SIGNED PACK0.125 s
TRUSTED VERIFY0.047 s
4 + 2 PROTECT0.211 s
2-LOSS RECOVER0.186 s
99% AUDIT0.013 s
ERASURE OVERHEAD50.00%
Implemented reference core

What ArkMesh verifies today.

The alpha is already more than a pack-and-hash tool. These are separate implemented capability areas, each backed by code and tests. They remain local operations; peer transfer and model execution are not included.

Verified means the stated acceptance boundary has reproducible implementation evidence. It does not mean disaster-ready, safe to execute, or independently audited.

CORE-01Verified

Content-addressed capability capsules

Pack models, runtime material, knowledge, licenses, and recovery instructions as named assets whose object paths come only from validated SHA-256 digests.

Acceptance boundary

The manifest records each asset's role, name, size, digest, and optional chunk commitment; the same canonical manifest derives the same capsule ID.

status capsules

CORE-02Verified

Manifest inspection and strict parsing

Inspect capsule metadata without executing its contents, and reject malformed manifests before object paths or trust decisions are used.

Acceptance boundary

Unknown fields, duplicate fields, invalid hashes, unsafe object references, and inconsistent metadata fail closed.

status inspection

CORE-03Verified

Offline identity and signatures

Create local Ed25519 author identities, sign a capsule without copying private keys into it, and verify signatures without a network service.

Acceptance boundary

Verification distinguishes trusted, unknown, invalid, and unsigned states without treating a valid key as proof of legal identity or safety.

status identity

CORE-04Verified

Deterministic integrity verification

Verify independent objects concurrently while preserving manifest-order error reporting, so performance does not make failures nondeterministic.

Acceptance boundary

Missing files, changed bytes, wrong sizes, invalid signatures, and malformed metadata identify the same failing asset on repeated runs.

status verification

CORE-05Verified

Merkle chunk commitments

Commit a Merkle root for every chunked asset, prove possession of one exact chunk, and locate damaged ranges against an authenticated tree.

Acceptance boundary

A proof is bound to the chunk bytes, index, tree size, asset, and signed capsule; forged proofs and forged trees are rejected.

status chunks

CORE-06Verified

Authenticated targeted repair

Request only damaged chunks and verify every donor chunk against the signed tree before writing it into a replica.

Acceptance boundary

Unverified donor bytes are never written, and the complete repaired capsule must pass size, digest, chunk-root, and signature verification.

status repair

CORE-07Verified

Donorless erasure reconstruction

Protect an object with streaming Reed Solomon shards and reconstruct it after losses even when no surviving holder has the complete bytes.

Acceptance boundary

Four of six configured shards recover the exact object; insufficient, forged, or inconsistent shards fail without publishing output.

status erasure

CORE-08Verified

Sampled retrievability and history

Use unpredictable chunk samples to bound the largest plausible missing fraction, then retain an audit history of checks that actually occurred.

Acceptance boundary

Reports state sample size and confidence, suppress clean bounds after observed damage, and never turn local timestamps into claims of attested time.

status audit

CORE-09Verified

Signed lineage and key authority

Bind one child to one parent, verify same-author updates, authorize one exact replacement key, and apply explicit local revocation policy.

Acceptance boundary

Wrong parents, reused transitions, unauthorized descendants, and revoked signers are rejected; valid signatures do not bypass local policy.

status lineage

CORE-10Verified

Local checkpoints and threshold recovery

Pin one accepted lineage head, advance through one verified direct edge, and recover from a lost author key through distinct approvals.

Acceptance boundary

Rollback against the retained checkpoint, checkpoint mismatch, duplicate approvals, revoked custodians, and recovery below the configured threshold fail closed.

status checkpoints

Continuity expedition

A map from local proof to living network.

The route is ordered by dependency, not calendar promises. Every location remains uncharted until its acceptance boundary has reproducible evidence.

ARKMESH EXPEDITION CHARTROUTE AM-X01

LOCAL CORE → DISTRIBUTED CONTINUITY

  1. STOP 01 · UNCHARTED

    Fresh-device trust and consent

    plan bootstrap
  2. STOP 02 · UNCHARTED

    Authenticated resumable peer transfer

    plan transfer
  3. STOP 03 · UNCHARTED

    Failure-domain placement and repair

    plan placement
  4. STOP 04 · UNCHARTED

    Longitudinal retention and attested time

    plan retention
  5. STOP 05 · UNCHARTED

    Runtime compatibility and local health

    plan execution
  6. STOP 06 · UNCHARTED

    Partition authority and reconciliation

    plan reconciliation
  7. STOP 07 · UNCHARTED

    Independent continuity experiment

    plan experiment
Inside the research room

One hypothesis. Six ways it can fail.

This is the working wall, not a task list. Every arrow asks what evidence would be needed before the central continuity claim can survive.

ARKMESH RESEARCH ROOM // WORKING WALLCONTINUITY HYPOTHESIS

REV. 14 · 09 · 2026

CAPABILITY = BYTES + CONTEXT + AUTHORITY + RECOVERY

WORKING HYPOTHESIS

Can a lawfully held AI capability outlive every original dependency?

Not just stored. Obtainable, verifiable, and runnable.

Q1 · DISCOVERY

Find invited peers without revealing what they preserve.

Need: measured metadata leakage.

Q2 · CONSENT

Authorize every transfer, even across partitions.

Need: hostile two-node rejection tests.

Q3 · PLACEMENT

Survive correlated physical failure, not only file loss.

Need: real failure-domain measurements.

Q4 · TIME

Prove retention when the local clock can lie.

Need: independently verifiable time evidence.

Q5 · EXECUTION

Turn verified bytes into a runnable local capability.

Need: allowlisted offline health checks.

Q6 · BRANCHES

Preserve two valid futures after a partition.

Need: deliberate human reconciliation.

The project needs critics, not followers

Choose one role. Leave one verifiable result.

You do not need to accept the vision, admire the implementation, or share its language. You need only identify one claim worth testing and report what actually happened. A counterexample that kills an assumption advances the research as much as a successful pull request.

Contribution is broader than code. Reproduce on unusual hardware. Review the cryptography. Map legal constraints. Design a failure ceremony. Translate the method. Lend test devices. Teach the protocol. Compare a simpler backup. Every useful act should end in evidence another participant can inspect.

Your next move

  • 01 // Reproduce
    Run the destructive ceremony and publish revision, environment, commands, raw output, and discrepancy.
  • 02 // Falsify
    Choose one claim, name its weakest assumption, and design the smallest experiment that could refute it.
  • 03 // Review
    Audit protocol, security, statistics, licensing, hardware assumptions, or prior art with citations.
  • 04 // Build or support
    Implement an accepted boundary, provide test hardware, translate the method, teach it, or host an independent rehearsal.
Choose one open problem ↗
Research posture

Evidence before mythology.

A signature is not legal identity. A sample is not whole-object proof. A reconstructed file is not executable continuity. ArkMesh names each boundary so the thesis can be falsified.

Read security boundaries