Bitmask Trust: Machine-Provable Knowledge at 200-Service Scale
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| Format: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866901579640078336 |
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| author | ANKR Labs (PowerPBox Solutions Pvt. Ltd.) |
| author_facet | ANKR Labs (PowerPBox Solutions Pvt. Ltd.) |
| contents | A protocol where every service in a large-scale system is machine-discoverable, every capability is bitwise-provable, every knowledge gap is self-detecting, and the AI that builds the code writes the verified truth about it in the same session. Three orthogonal bitmasks (trust_mask 32-bit, k_mask 8-bit, claude_ankr_mask 5-bit) encode capability, knowledge completeness, and design law compliance as CPU-instruction-speed proofs. Includes session-as-knowledge-source methodology, SHASTRA/YUKTI/VIVEKA three-layer knowledge taxonomy, verification twin (SAKSHI code witnessing + PRAMANA AI response verification), and self-learning loop (TRAWL signal capture to SuperDomain rule extraction to SLM training). Validated across 223 services with 167 source-code-verified knowledge documents. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19390925 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Bitmask Trust: Machine-Provable Knowledge at 200-Service Scale ANKR Labs (PowerPBox Solutions Pvt. Ltd.) bitmask trust machine-provable knowledge microservice discovery capability bitmask knowledge completeness session-as-knowledge-source AI code witnessing domain intelligence self-healing knowledge base SHASTRA YUKTI VIVEKA zero hallucination architecture A protocol where every service in a large-scale system is machine-discoverable, every capability is bitwise-provable, every knowledge gap is self-detecting, and the AI that builds the code writes the verified truth about it in the same session. Three orthogonal bitmasks (trust_mask 32-bit, k_mask 8-bit, claude_ankr_mask 5-bit) encode capability, knowledge completeness, and design law compliance as CPU-instruction-speed proofs. Includes session-as-knowledge-source methodology, SHASTRA/YUKTI/VIVEKA three-layer knowledge taxonomy, verification twin (SAKSHI code witnessing + PRAMANA AI response verification), and self-learning loop (TRAWL signal capture to SuperDomain rule extraction to SLM training). Validated across 223 services with 167 source-code-verified knowledge documents. |
| title | Bitmask Trust: Machine-Provable Knowledge at 200-Service Scale |
| topic | bitmask trust machine-provable knowledge microservice discovery capability bitmask knowledge completeness session-as-knowledge-source AI code witnessing domain intelligence self-healing knowledge base SHASTRA YUKTI VIVEKA zero hallucination architecture |
| url | https://doi.org/10.5281/zenodo.19390925 |