Skip to content
#software testing Dataset Open access

DROPBOX-M1-001: First Permanent Mainnet Seed Drop — Patent Genesis Artwork Reconstructed Byte-Identically From a Bitcoin OP_RETURN by a Keyless Reader (SIP-042, Preregistered, All Gates G1-G6 PASS)

Oct 2026 · Zenodo (CERN European Organization for Nuclear Research)
Blockchain Technology Applications and Security

Abstract

SQUIRL OS RESEARCH DISCLOSURE — READ FIRST: This work was produced inside an AI-assisted, receipt-first research program (open-book doctrine: audit-and-correction, versioned amendments, append-only public ledger). Every claim is backed by a timestamped, publicly committed receipt trail in the four-horsemen repository. Errors are disclosed, not erased. Limitations are load-bearing. This software is a prototype and is provided for educational and research purposes only. It is not intended for production use, commercial deployment, or safety-critical environments. All systems are experimental and may contain defects. DROPBOX-M1-001: the first permanent mainnet seed drop. On Oct 18 2026, under preregistration M-DROP-1 (frozen BEFORE funding and broadcast, sha 95c322ea...785de), the 32-byte genesis seed of the Patent Genesis Series No. 1 artwork (filed provisional 19/693,343) was sealed into a 37-byte OP_RETURN on Bitcoin mainnet — tx 97d8cd38...a5b89, CONFIRMED BLOCK 972023, total cost 790 sats of postage. A keyless reader (no keys, no wallet, no signing) pulled the seed straight off the blockchain, and the canonical v1.1 generator reconstructed the artwork from that chain-pulled seed byte-identically (SHA-256 3c130d66...de69, MATCH). The artwork now exists nowhere except 32 bytes on Bitcoin mainnet plus the generator — permanent, reconstructible by anyone, forever. This record documents a working reduction-to-practice of the seed-mode architecture (dual-mode evidence receipts; prior technical report DOI 10.5281/zenodo.23448010): transfer-only storage (delivers, retains nothing), binary verification (DELIVERED (D2) or not), postage-only economics (no monetary output, no token, no contract, no counterparty), writer-side-only key custody, deterministic payload (marker || version || seed). All six preregistered gates passed: G1 BIP-143 vector-proven signing (byte-exact vs the official Native P2WPKH test vector), G2 broadcast, G3 block confirmation (972023), G4 keyless chain-pull (pulled seed SHA-256 81d4a5cb...c456c, exact match to the target frozen in the prereg), G5 byte-identical reconstruction from the chain-pulled seed, G6 on-chain payload purity audit (OP_RETURN contains marker + version + seed only; no PII, no credentials, no customer data). Dual Mesh Benchmark status: MEASURED (scoped) — DOI 10.5281/zenodo.23345241 (DeepSeek column); cross-engine expansion DOI 10.5281/zenodo.23348675. Anyone can verify, three ways: (1) browser — pull the tx and reconstruct the artifact in the public Genesis Viewer (deterministic-code-dsos.base44.app/genesis-viewer, hash 81d4a5cb...c456c); (2) examiner — run the included keyless reader and generator on the included chain-pulled seed; (3) skeptic — re-implement from the spec: fetch the block, parse the OP_RETURN, hash what you find. Trustless by construction. Provenance: prereg, frozen gates, runlog, and append-only ledger entries 0191/0192: github.com/LLong2026/four-horsemen (receipts/DROPBOX_M1_001_2026-10-18.md, dropbox/PREREG_M-DROP-1.md). Evidence bundle SHA-256: b0cf41f956ab475112e4a56371fa5ce5347f5472e2b6aa605894948b3422220a. Series: testnet4 proof-of-loop DROPBOX-T4-001 (ledger 0191); SIP-042 invariants (sha 25a45075); Patent Genesis Series No. 1 DOI 10.5281/zenodo.23447609. DCAI community: zenodo.org/communities/dcai. Two-key curation: drafted and vetted by the system (Gabriel), published on the owner's explicit GO (chat authorization, 2026-10-18 ~11:40 CT).

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54
#computer vision Review Mar 2008

Agile methods in European embedded software development organisations: a survey on the actual use and usefulness of Extreme Programming and Scrum

The results show that the embedded industry has been able to apply agile methods in its development processes and that the appreciation of the agile methods and their individual practices appears to increase once adopted and applied in practice.

O. Salo, P. Abrahamsson · 238 citations · ⚡9
#computer vision Open access Jul 2017

What happens when software developers are (un)happy

Consequences of happiness and unhappiness that are beneficial and detrimental for developers' mental well-being, the software development process, and the produced artifacts are found.

D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al. · 236 citations · ⚡13
#computer vision Open access Oct 2004

Mobile-D: an agile approach for mobile application development

The Mobile-D approach is briefly outlined here and the experiences gained from four case studies are discussed, which helped develop an agile development approach for mobile application development.

P. Abrahamsson, Antti Hanhineva, H. Hulkko et al. · 225 citations · ⚡18

Related blog posts

Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.