What vBase Verifies

vBase creates globally credible, independently verifiable, proof of what data existed — and when.

Each stamp serves as a cryptographic commitment linking a specific digital object (usually a file) to a point in time and to the dataset, or Collection, it belongs to.

When combined into a Collection, these stamps establish an independently verifiable record of the creation and revision of the dataset — turning historical datasets into auditable assets.

Core Dimensions of Verification

vBase verifies three fundamental aspects of data history and presentation:

1. Timestamp Integrity

vBase proves the exact moments when data, files, or results within a dataset or strategy were created or updated.

Each stamp includes a cryptographically verifiable timestamp, recorded immutably on a public blockchain. This allows any third party to confirm when specific data became known — eliminating ambiguity about version histories or backdating.

Example:

• A data vendor can prove that their June 2022 data has not been revised since June 30, 2022.

• An investment analyst can prove when they published a winning stock call and the corresponding investment model

• A risk officer can prove which risk report the company saved at the end of each month of the past year.

2. Dataset Integrity

vBase ensures that the files or data within a Collection have remained unaltered since their original timestamps. By comparing the hash of the current data to the blockchain-backed audit trail for the Collection, anyone can confirm that:

• No extra data has been inserted.

• No data has been removed.

• The data is exactly as it was when first stamped.

This gives investors, partners, or clients cryptographic assurance that historical data matches exactly what it was in the past — not modified, selectively cleaned, or incompletely queried.

Example:

• A research firm can demonstrate that they are sharing every research report they wrote about Microsoft over a given historical period

• An investment manager can demonstrate that they are sharing all historical trade files in a strategy, with no extra or missing trades

• A scientist can demonstrate that all lab results recorded at the time are being presented for testing and evaluation to journal referees

3. Impartial Presentation

Beyond individual files, vBase verifies that a dataset or trading strategy is not being selectively presented from many parallel alternatives.

By creating a public record of the number of datasets a given user maintains, vBase makes it clear what population the presented result came from.

This addresses the classic “data dredging” or “cherry-picking” problem — proving that what’s shown is representative of the research universe, not the lucky survivor.

Example:

• A quant researcher can show that their live strategy came from one of three tested models — not one of hundreds — giving allocators confidence that performance wasn’t selectively chosen.

• An experimental data provider can show he didn't run multiple versions of the same experiment, cherry-picking the most suitable result

• An investment analyst can show he didn't publish multiple versions of his investment model, and then selectively presented the one closest to the final outcome

---

What This Enables

Together, these verification dimensions create a globally credible, independently verifiable audit trail for any dataset, model, or portfolio. This audit trail shows exactly what data existed, and when — making data history verifiable and trustworthy.

With vBase, data producers and consumers can:

• Prove data timeliness — demonstrate that claims or results were known at the time stated.

• Prove data integrity — verify that data and results are original and unmodified.

• Prove impartiality of presentation — show that findings weren’t cherry-picked from a larger unseen set.

The result is transparent, verifiable data provenance — turning “trust me” into “verify it yourself.”