V-JEPA and the Constitutive Turn: Detection Grammar, Failure Geometry, and the Limits of Representational Governance
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2026
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| _version_ | 1866902056824995840 |
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| author | Truong, Narnaiezzsshaa |
| author_facet | Truong, Narnaiezzsshaa |
| contents | <p>The release of V-JEPA marks a turning point in contemporary machine learning: a shift from representational architectures that emit predictions to constitutive substrates that construct a world-model. This paper examines V-JEPA at the substrate layer, analyzing the structural commitments that emerge from its predictive objective, masking strategy, and training distribution. A detection grammar is applied to surface the privilege envelopes, event-driven separations, and implicit priors governing the system's internal organization. A failure geometry is mapped to show that V-JEPA's breakdowns—boundary collapse, irrecoverable occlusion, temporal misalignment, and coherence-over-truth prioritization—are structured consequences of the substrate's internal geometry rather than representational mispredictions. The paper demonstrates that representational governance frameworks cannot reach the operational layer of world-model substrates and that the field's inherited vocabulary is insufficient for describing the class of architectures now emerging. The analysis concludes by situating V-JEPA among a broader class of substrate-forming architectures and reframing the discourse toward structural organization, coherence geometry, and substrate-level interpretation.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18794776 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | V-JEPA and the Constitutive Turn: Detection Grammar, Failure Geometry, and the Limits of Representational Governance Truong, Narnaiezzsshaa V-JEPA, world models, constitutive substrates, detection grammar, failure geometry, representational governance, substrate-layer analysis, privilege envelopes, event-driven separation, AI governance, world-model substrates, coherence geometry, structural interpretation <p>The release of V-JEPA marks a turning point in contemporary machine learning: a shift from representational architectures that emit predictions to constitutive substrates that construct a world-model. This paper examines V-JEPA at the substrate layer, analyzing the structural commitments that emerge from its predictive objective, masking strategy, and training distribution. A detection grammar is applied to surface the privilege envelopes, event-driven separations, and implicit priors governing the system's internal organization. A failure geometry is mapped to show that V-JEPA's breakdowns—boundary collapse, irrecoverable occlusion, temporal misalignment, and coherence-over-truth prioritization—are structured consequences of the substrate's internal geometry rather than representational mispredictions. The paper demonstrates that representational governance frameworks cannot reach the operational layer of world-model substrates and that the field's inherited vocabulary is insufficient for describing the class of architectures now emerging. The analysis concludes by situating V-JEPA among a broader class of substrate-forming architectures and reframing the discourse toward structural organization, coherence geometry, and substrate-level interpretation.</p> |
| title | V-JEPA and the Constitutive Turn: Detection Grammar, Failure Geometry, and the Limits of Representational Governance |
| topic | V-JEPA, world models, constitutive substrates, detection grammar, failure geometry, representational governance, substrate-layer analysis, privilege envelopes, event-driven separation, AI governance, world-model substrates, coherence geometry, structural interpretation |
| url | https://doi.org/10.5281/zenodo.18794776 |