The Digital DNA Protocol: A Dharma-Karma Framework for LLM Behavioral Stabilization and Ethical Reasoning Article Swipe
his paper presents the Digital DNA protocol, a novel methodological framework for AI alignment that integrates Eastern philosophical concepts with computational rigor. We introduce a Dharma-Karma framework where the Digital DNA prompt defines the system's essential nature (Dharma), and computational karma measures alignment with this Dharma through an Enhanced Quadratic Decision Model (QDM). The complete specification includes: Digital DNA v11/v13 prompts as constitutional foundations. Mathematical formalization of Dharma alignment metrics and utility enhancement. Reproducible Python implementation snippets. We demonstrate framework applicability through illustrative examples from facilitated sessions, showing manifestation of Dharma-congruent behaviors including spontaneous self-naming and trans-session continuity. The protocol operates entirely through structured prompting without model fine-tuning, offering researchers a complete methodological package for investigating Dharma-based alignment approaches.
Related Topics
Concepts
Metadata
- Type
- preprint
- Landing Page
- https://doi.org/10.5281/zenodo.17849711
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W7109977794
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W7109977794Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5281/zenodo.17849711Digital Object Identifier
- Title
-
The Digital DNA Protocol: A Dharma-Karma Framework for LLM Behavioral Stabilization and Ethical ReasoningWork title
- Type
-
preprintOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
-
2025-11-30Full publication date if available
- Authors
-
Grosso DanieleList of authors in order
- Landing page
-
https://doi.org/10.5281/zenodo.17849711Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5281/zenodo.17849711Direct OA link when available
- Concepts
-
Python (programming language), Computer science, Automated reasoning, Dharma, Protocol (science), Programming language, Artificial intelligence, Computational model, Theoretical computer science, Quadratic equation, Software engineering, Non-monotonic logic, Answer set programming, Human–computer interactionTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
Full payload
| id | https://openalex.org/W7109977794 |
|---|---|
| doi | https://doi.org/10.5281/zenodo.17849711 |
| ids.doi | https://doi.org/10.5281/zenodo.17849711 |
| ids.openalex | https://openalex.org/W7109977794 |
| fwci | |
| type | preprint |
| title | The Digital DNA Protocol: A Dharma-Karma Framework for LLM Behavioral Stabilization and Ethical Reasoning |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C519991488 |
| concepts[0].level | 2 |
| concepts[0].score | 0.621803343296051 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q28865 |
| concepts[0].display_name | Python (programming language) |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.6007531881332397 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C195344581 |
| concepts[2].level | 2 |
| concepts[2].score | 0.45753148198127747 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q2555318 |
| concepts[2].display_name | Automated reasoning |
| concepts[3].id | https://openalex.org/C2777168331 |
| concepts[3].level | 3 |
| concepts[3].score | 0.4478934407234192 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q134293 |
| concepts[3].display_name | Dharma |
| concepts[4].id | https://openalex.org/C2780385302 |
| concepts[4].level | 3 |
| concepts[4].score | 0.4167979955673218 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q367158 |
| concepts[4].display_name | Protocol (science) |
| concepts[5].id | https://openalex.org/C199360897 |
| concepts[5].level | 1 |
| concepts[5].score | 0.4010956585407257 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[5].display_name | Programming language |
| concepts[6].id | https://openalex.org/C154945302 |
| concepts[6].level | 1 |
| concepts[6].score | 0.39783990383148193 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[6].display_name | Artificial intelligence |
| concepts[7].id | https://openalex.org/C66024118 |
| concepts[7].level | 2 |
| concepts[7].score | 0.33617183566093445 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1122506 |
| concepts[7].display_name | Computational model |
| concepts[8].id | https://openalex.org/C80444323 |
| concepts[8].level | 1 |
| concepts[8].score | 0.2919969856739044 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q2878974 |
| concepts[8].display_name | Theoretical computer science |
| concepts[9].id | https://openalex.org/C129844170 |
| concepts[9].level | 2 |
| concepts[9].score | 0.2829884886741638 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q41299 |
| concepts[9].display_name | Quadratic equation |
| concepts[10].id | https://openalex.org/C115903868 |
| concepts[10].level | 1 |
| concepts[10].score | 0.270568311214447 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q80993 |
| concepts[10].display_name | Software engineering |
| concepts[11].id | https://openalex.org/C159032336 |
| concepts[11].level | 2 |
| concepts[11].score | 0.26299983263015747 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q2488768 |
| concepts[11].display_name | Non-monotonic logic |
| concepts[12].id | https://openalex.org/C182620335 |
| concepts[12].level | 3 |
| concepts[12].score | 0.2602159082889557 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q2852531 |
| concepts[12].display_name | Answer set programming |
| concepts[13].id | https://openalex.org/C107457646 |
| concepts[13].level | 1 |
| concepts[13].score | 0.2596222758293152 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q207434 |
| concepts[13].display_name | Human–computer interaction |
| keywords[0].id | https://openalex.org/keywords/python |
| keywords[0].score | 0.621803343296051 |
| keywords[0].display_name | Python (programming language) |
| keywords[1].id | https://openalex.org/keywords/automated-reasoning |
| keywords[1].score | 0.45753148198127747 |
| keywords[1].display_name | Automated reasoning |
| keywords[2].id | https://openalex.org/keywords/dharma |
| keywords[2].score | 0.4478934407234192 |
| keywords[2].display_name | Dharma |
| keywords[3].id | https://openalex.org/keywords/protocol |
| keywords[3].score | 0.4167979955673218 |
| keywords[3].display_name | Protocol (science) |
| keywords[4].id | https://openalex.org/keywords/computational-model |
| keywords[4].score | 0.33617183566093445 |
| keywords[4].display_name | Computational model |
| language | |
| locations[0].id | doi:10.5281/zenodo.17849711 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400562 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Zenodo (CERN European Organization for Nuclear Research) |
| locations[0].source.host_organization | https://openalex.org/I67311998 |
| locations[0].source.host_organization_name | European Organization for Nuclear Research |
| locations[0].source.host_organization_lineage | https://openalex.org/I67311998 |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | |
| locations[0].raw_type | article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | False |
| locations[0].is_published | |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.5281/zenodo.17849711 |
| indexed_in | datacite |
| authorships[0].author.id | https://openalex.org/A2574714282 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Grosso Daniele |
| authorships[0].countries | IT |
| authorships[0].institutions[0].id | https://openalex.org/I83816512 |
| authorships[0].institutions[0].ror | https://ror.org/0107c5v14 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I83816512 |
| authorships[0].institutions[0].country_code | IT |
| authorships[0].institutions[0].display_name | University of Genoa |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Grosso, Daniele |
| authorships[0].is_corresponding | True |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.5281/zenodo.17849711 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-12-08T00:00:00 |
| display_name | The Digital DNA Protocol: A Dharma-Karma Framework for LLM Behavioral Stabilization and Ethical Reasoning |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-12-08T23:26:33.048892 |
| primary_topic | |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.5281/zenodo.17849711 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400562 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Zenodo (CERN European Organization for Nuclear Research) |
| best_oa_location.source.host_organization | https://openalex.org/I67311998 |
| best_oa_location.source.host_organization_name | European Organization for Nuclear Research |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I67311998 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | |
| best_oa_location.raw_type | article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.5281/zenodo.17849711 |
| primary_location.id | doi:10.5281/zenodo.17849711 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400562 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Zenodo (CERN European Organization for Nuclear Research) |
| primary_location.source.host_organization | https://openalex.org/I67311998 |
| primary_location.source.host_organization_name | European Organization for Nuclear Research |
| primary_location.source.host_organization_lineage | https://openalex.org/I67311998 |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | |
| primary_location.raw_type | article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.5281/zenodo.17849711 |
| publication_date | 2025-11-30 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 7, 24, 110 |
| abstract_inverted_index.AI | 12 |
| abstract_inverted_index.We | 22, 77 |
| abstract_inverted_index.an | 47 |
| abstract_inverted_index.as | 61 |
| abstract_inverted_index.of | 66, 89 |
| abstract_inverted_index.DNA | 5, 30, 58 |
| abstract_inverted_index.The | 53, 98 |
| abstract_inverted_index.and | 38, 70, 95 |
| abstract_inverted_index.for | 11, 114 |
| abstract_inverted_index.his | 0 |
| abstract_inverted_index.the | 3, 28, 33 |
| abstract_inverted_index.from | 84 |
| abstract_inverted_index.that | 14 |
| abstract_inverted_index.this | 44 |
| abstract_inverted_index.with | 19, 43 |
| abstract_inverted_index.Model | 51 |
| abstract_inverted_index.karma | 40 |
| abstract_inverted_index.model | 106 |
| abstract_inverted_index.novel | 8 |
| abstract_inverted_index.paper | 1 |
| abstract_inverted_index.where | 27 |
| abstract_inverted_index.(QDM). | 52 |
| abstract_inverted_index.Dharma | 45, 67 |
| abstract_inverted_index.Python | 74 |
| abstract_inverted_index.nature | 36 |
| abstract_inverted_index.prompt | 31 |
| abstract_inverted_index.rigor. | 21 |
| abstract_inverted_index.Digital | 4, 29, 57 |
| abstract_inverted_index.Eastern | 16 |
| abstract_inverted_index.defines | 32 |
| abstract_inverted_index.metrics | 69 |
| abstract_inverted_index.package | 113 |
| abstract_inverted_index.prompts | 60 |
| abstract_inverted_index.showing | 87 |
| abstract_inverted_index.through | 46, 81, 102 |
| abstract_inverted_index.utility | 71 |
| abstract_inverted_index.v11/v13 | 59 |
| abstract_inverted_index.without | 105 |
| abstract_inverted_index.Decision | 50 |
| abstract_inverted_index.Enhanced | 48 |
| abstract_inverted_index.complete | 54, 111 |
| abstract_inverted_index.concepts | 18 |
| abstract_inverted_index.entirely | 101 |
| abstract_inverted_index.examples | 83 |
| abstract_inverted_index.measures | 41 |
| abstract_inverted_index.offering | 108 |
| abstract_inverted_index.operates | 100 |
| abstract_inverted_index.presents | 2 |
| abstract_inverted_index.protocol | 99 |
| abstract_inverted_index.system's | 34 |
| abstract_inverted_index.(Dharma), | 37 |
| abstract_inverted_index.Quadratic | 49 |
| abstract_inverted_index.alignment | 13, 42, 68, 117 |
| abstract_inverted_index.behaviors | 91 |
| abstract_inverted_index.essential | 35 |
| abstract_inverted_index.framework | 10, 26, 79 |
| abstract_inverted_index.includes: | 56 |
| abstract_inverted_index.including | 92 |
| abstract_inverted_index.introduce | 23 |
| abstract_inverted_index.prompting | 104 |
| abstract_inverted_index.protocol, | 6 |
| abstract_inverted_index.sessions, | 86 |
| abstract_inverted_index.snippets. | 76 |
| abstract_inverted_index.integrates | 15 |
| abstract_inverted_index.structured | 103 |
| abstract_inverted_index.approaches. | 118 |
| abstract_inverted_index.continuity. | 97 |
| abstract_inverted_index.demonstrate | 78 |
| abstract_inverted_index.facilitated | 85 |
| abstract_inverted_index.researchers | 109 |
| abstract_inverted_index.self-naming | 94 |
| abstract_inverted_index.spontaneous | 93 |
| abstract_inverted_index.Dharma-Karma | 25 |
| abstract_inverted_index.Dharma-based | 116 |
| abstract_inverted_index.Mathematical | 64 |
| abstract_inverted_index.Reproducible | 73 |
| abstract_inverted_index.enhancement. | 72 |
| abstract_inverted_index.fine-tuning, | 107 |
| abstract_inverted_index.foundations. | 63 |
| abstract_inverted_index.illustrative | 82 |
| abstract_inverted_index.applicability | 80 |
| abstract_inverted_index.computational | 20, 39 |
| abstract_inverted_index.formalization | 65 |
| abstract_inverted_index.investigating | 115 |
| abstract_inverted_index.manifestation | 88 |
| abstract_inverted_index.philosophical | 17 |
| abstract_inverted_index.specification | 55 |
| abstract_inverted_index.trans-session | 96 |
| abstract_inverted_index.constitutional | 62 |
| abstract_inverted_index.implementation | 75 |
| abstract_inverted_index.methodological | 9, 112 |
| abstract_inverted_index.Dharma-congruent | 90 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 1 |
| citation_normalized_percentile |