PAPPADIA® Music Digital Fingerprint (MDF) v2.3 — A Protocol for Mathematically Verifiable Musical Copyright
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ENGLISH━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ PAPPADIA® Music Digital Fingerprint (MDF) v2.3 is a deterministicprotocol for mathematically verifiable musical copyright registration,based on the PAPPADIA® Theorem (© Umberto Junior Pappadia, 2025;DOI: 10.5281/ZENODO.17130066): d_m(1/p, 10) = floor( 10 × (10^(m-1) mod p) / p ) Each melody is encoded as a digit sequence embedded in the decimalexpansion of 1/p, certified via SHA-256 deposited on Zenodo with animmutable DOI. Version 2.3 introduces Compound Encoding (chromatic +interval concatenation, 2N-1 digits for an N-note melody) and minimumnote requirements for legal admissibility: 4-note compound → 7 digits → E[occ] ≈ 0.001 (Acceptable) 6-note compound → 11 digits → E[occ] < 10⁻⁶ (Bulletproof) The derivation algorithm (PAPPADIA® Framework, Tier 3) remains aprotected trade secret under Art. 98-99 D.Lgs. 30/2005 and is NOTpublished here. Tier 1 verification uses only Python built-in pow(). This record includes: · Bilingual scientific paper (EN/IT) on the MDF protocol (v1.3) · Tier 1 public library (AGPL-3.0): verification, encoding, search · Standalone verifier for court/CTU use (zero dependencies, updated) · Certified public demo registry (7 entries, public-domain works only) · DATABASE_LICENSE.txt (dual: CC BY-NC-SA 4.0 / Commercial) · SHA-256 integrity certificate (corrected edition) · README_ZENODO.md Properties: deterministic, court-admissible, audio-manipulation-invariant,pre-recording (certifies the musical idea before any audio recording),compliant with EU AI Act 2024/1689 Art. 50 (machine-readable watermarkingfor AI-generated audio), and with the opt-out mechanism of Art. 4(3)Dir. (EU) 2019/790 / Art. 70-quater L. 633/1941. PAPPADIA® Reg. EUIPO 019230446. SIAE Deposit 2025/00839.Commercial licensing: [email protected] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ITALIANO━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ PAPPADIA® Music Digital Fingerprint (MDF) v2.3 è un protocollodeterministico per la registrazione del copyright musicalematematicamente verificabile, fondato sul Teorema PAPPADIA®(© Umberto Junior Pappadia, 2025; DOI: 10.5281/ZENODO.17130066): d_m(1/p, 10) = floor( 10 × (10^(m-1) mod p) / p ) Ogni melodia viene codificata come sequenza di cifre incorporatanell'espansione decimale di 1/p, certificata tramite SHA-256 depositatosu Zenodo con DOI immutabile. La versione 2.3 introduce la CodificaComposta (concatenazione di cifre cromatiche e a intervalli, 2N-1 cifreper una melodia di N note) e requisiti minimi di lunghezza melodica perl'ammissibilità legale: 4 note compound → 7 cifre → E[occ] ≈ 0.001 (Accettabile) 6 note compound → 11 cifre → E[occ] < 10⁻⁶ (Inoppugnabile) L'algoritmo di derivazione (PAPPADIA® Framework, Tier 3) rimane segretocommerciale protetto dagli artt. 98-99 D.Lgs. 30/2005 e NON è pubblicato.La verifica Tier 1 utilizza esclusivamente la funzione built-in pow() diPython 3, senza dipendenze esterne. Questo record include: · Paper scientifico bilingue (EN/IT) sul protocollo MDF (v1.3) · Libreria pubblica Tier 1 (AGPL-3.0): verifica, codifica, ricerca · Verificatore autonomo per tribunale/CTU (zero dipendenze, aggiornato) · Registro demo pubblico certificato (7 voci, solo opere di pubblico dominio) · DATABASE_LICENSE.txt (doppia licenza: CC BY-NC-SA 4.0 / Commerciale) · Certificato di integrità SHA-256 (edizione corretta) · README_ZENODO.md Proprietà: deterministico, ammissibile in tribunale, invariante allemanipolazioni audio, pre-registrazione (certifica l'idea musicale primadi qualsiasi registrazione audio), conforme all'AI Act UE 2024/1689Art. 50 (watermarking machine-readable per audio generato da IA) e almeccanismo di opt-out dell'Art. 4(3) Dir. (UE) 2019/790 /Art. 70-quater L. 633/1941. PAPPADIA® Reg. EUIPO 019230446. Deposito SIAE 2025/00839.Licenze commerciali: [email protected] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━FILE-LEVEL LICENSING━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ PAPPADIA_MDF_Paper_v1_3.html → CC BY 4.0 pappadia_mdf_v2_3.py → AGPL-3.0 verify_standalone.py → AGPL-3.0 pappadia_registry_v2_3.json → CC BY-NC-SA 4.0 (non-commercial) Commercial: [email protected] DATABASE_LICENSE.txt, README_ZENODO.md, CERTIFICATE_SHA256_PUBLIC_ZENODO.txt → CC BY 4.0 (Full terms: see DATABASE_LICENSE.txt and README_ZENODO.md) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━SHA-256 INTEGRITY HASHES (verified 2026-09-04)━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━SHA-256 PAPPADIA_MDF_Paper_v1_3.html: 9398b55a625c328b3f06d59b0be1e41b1d661cb3f4fd61fadf139e091adc3bf4SHA-256 pappadia_mdf_v2_3.py: 7b1231ea5201b5c4f2ffa2af5882babf7a2f114fe5d8ce7f7c942a58840740f4SHA-256 verify_standalone.py: b134d9e37d0e9204b1675eb458a4843028b3bf39fd9127010f943a22938b6990SHA-256 pappadia_registry_v2_3.json: 682334e650975d485a257ae57980d0eb3a91ebb5ba200f37d5d85d2264172c3bSHA-256 DATABASE_LICENSE.txt: ef4a4e014100990a4285363dd86a47edae6dafedae87f47ce801c2b3b88500acSHA-256 README_ZENODO.md: 44594968e1d4549df9953d828e1399edf108f5e3b386e9aa3db50bc7508f3144SHA-256 CERTIFICATE_SHA256_PUBLIC_ZENODO.txt: 7d3dc4f1e8e8f1eb354847e4641c25f4ad5e10a87e589ba3ab41b2d79d53897b(Full integrity certificate: see CERTIFICATE_SHA256_PUBLIC_ZENODO.txt)Explicit opt-out from AI/ML training:Art. 70-quater L.633/1941 / Art. 4(3) Dir. (EU) 2019/790 CDSM━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Authors
- Umberto Pappadia (ORCID: https://orcid.org/0009-0002-4392-7845)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-04
- DOI
- https://doi.org/10.5281/zenodo.22307450
- Primary Topic
- Music and Audio Processing
- Type
- article
- Field-Weighted Citation Impact
- 0.00