Lifecycle Management of Relational Records for External Auditing and Regulatory Compliance
Bibliographic record
Abstract
Transactional business records are subject to a wide array of regulatory and auditing requirements. The problem of converting task specific business policies to database level constraints is challenging due to the immense complexity of corporate workflows and record lifecycles. In this paper we present a modeling framework for identifying business processes and record lifecycles within relational database systems that supports the automatic generation, implementation and verification of low level data management constraints. Our modeling language allows users to identify states of business processes within a relational database system and subsequently to enforce a broad set of conditional business rules based on the particular path that a business process has taken in the model. Our approach is unique in that it offers a single unified layer for process modeling and implementing complex workflow based constraints, temporal access control constraints, and records retention restrictions. Furthermore we propose the notion of "business process integrity" as a layer above traditional database integrity constraints, which combines conditional access control and general purpose temporal integrity constraints, to assure external auditors that each business record in the database has followed a legal path to its current state.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".