Source cleanup

3D asset AI and scan provenance disclosure after RealityScan capture

Plan provenance disclosure for RealityScan capture. Review the source, test the destination export, and document settings, evidence, and open risks.

RealityScan captureprovenance disclosuresource cleanupexportQA
RealityScan capture 3D asset provenance disclosure workflow preview

Decisions to make

What is in scope?

For RealityScan capture, define the asset, destination, and release condition before editing. Keep a clean source copy and state why source inputs is relevant to provenance disclosure.

What can block delivery?

For provenance disclosure in RealityScan capture, treat unresolved generation or capture method as blocking. Decide whether it needs a technical fix, additional evidence, or a qualified reviewer.

What proves it is ready?

For provenance disclosure, require a representative result in RealityScan capture, the accepted export settings, and a clear outcome for major human edits. Record who approved the final package.

Production notes

RealityScan capture is a starting point, not proof that an asset is production-ready. A provenance disclosure pass should distinguish generation artifacts from deliberate form before anyone spends time polishing the result.

For RealityScan capture, keep source links, license terms, generation or capture method, and material edits with the asset. Escalate unclear rights or disclosure requirements instead of guessing from the file contents.

Record the generation or capture tool, source inputs, major human edits, restrictions, and the reviewer responsible for disclosure. Apply this provenance disclosure guidance to the actual RealityScan capture delivery path.

Practical answer

The safest route is to test the real destination: for RealityScan capture, begin with source inputs, then test generation or capture method and major human edits in the actual destination. Keep the accepted export settings and any unresolved provenance disclosure risks with the source file.

Preflight checklist

  • Before provenance disclosure, confirm that RealityScan capture is the actual source cleanup destination, not just an intermediate preview tool.
  • For RealityScan capture, keep an untouched source file for provenance disclosure and record the starting state of source inputs and generation or capture method.
  • Verify major human edits in RealityScan capture during provenance disclosure rather than assuming the editor preview is authoritative.
  • For RealityScan capture, save the approved export settings, fallback file, and owner of any remaining provenance disclosure work.

Recommended workflow

Inspect the source asset

Open the original file before making changes. For RealityScan capture, record its format, units, dependencies, and current source inputs so the provenance disclosure pass has a reliable baseline.

Check source inputs

During provenance disclosure for RealityScan capture, establish the expected state of source inputs. Resolve or document any gap before moving on to generation or capture method.

Test in RealityScan capture

Do not rely on the authoring viewport alone. For provenance disclosure, load a representative export in RealityScan capture and verify generation or capture method together with major human edits.

Package the result

For RealityScan capture, keep the accepted export, its settings, and a short note about unresolved risks. Name the person responsible for the final review of provenance disclosure.

Common failure modes

Unexpected change: source inputs

During provenance disclosure, compare the source and destination values for source inputs. Do not continue until the difference is explained and assigned to the asset or the RealityScan capture pipeline.

Destination mismatch: generation or capture method

For provenance disclosure, capture the RealityScan capture result and isolate the responsible layer. A clean authoring preview is not proof when the exported generation or capture method result no longer matches the baseline.

No pass condition for major human edits

Define an observable provenance disclosure result or move the decision to a qualified RealityScan capture reviewer. Do not hide an unresolved major human edits risk behind a general “ready” status.

Acceptance criteria

provenance disclosure check for RealityScan captureRealityScan capture pass condition for provenance disclosureEvidence to keep for RealityScan capture provenance disclosure
source inputs during provenance disclosure for RealityScan captureFor RealityScan capture provenance disclosure, the source and revised asset use an agreed value for source inputs.Keep RealityScan capture provenance disclosure before-and-after values and the setting that changed.
generation or capture method during provenance disclosure for RealityScan captureThe provenance disclosure result for generation or capture method matches the expected behavior in RealityScan capture, not only in the editor.Keep target-side evidence for RealityScan capture provenance disclosure, such as an import log or captured test.
major human edits during provenance disclosure for RealityScan captureThe recorded result for major human edits meets the RealityScan capture release requirement for this provenance disclosure job.Keep the accepted RealityScan capture result and the reviewer name for provenance disclosure.
rights and restrictions after provenance disclosure for RealityScan captureThe provenance disclosure handoff for RealityScan capture contains only the files needed downstream.Keep the RealityScan capture export preset, fallback, dependencies, and open risks from provenance disclosure.

FAQ

How should I plan provenance disclosure for RealityScan capture?

For RealityScan capture, start with source inputs on the untouched source file. It gives you a baseline before the provenance disclosure pass changes geometry, materials, metadata, or export settings.

What should the RealityScan capture provenance disclosure checklist include?

During provenance disclosure for RealityScan capture, record the source format, units, texture locations, material slots, exporter, destination version, and observed generation or capture method behavior.

Which source inputs requirements matter most?

The provenance disclosure pass is complete when source inputs, generation or capture method, and major human edits have been tested in RealityScan capture, the export opens correctly, and remaining review has an owner.

What happens when generation or capture method does not pass review in RealityScan capture?

For RealityScan capture, use a qualified reviewer during provenance disclosure when major human edits cannot be verified automatically or when licensing, device, marketplace, or domain rules affect approval.