Short answer
A revision history is the chain of approved versions of a procedure plus the reason each change was made. For embodied AI it can support change-aware instruction grounding, planning under updated steps and evaluation sets that test whether a model notices what changed. It cannot show how the work is physically done, or whether the floor ever followed the revised text.
Why a buyer wants the history and not just the current SOP
A current SOP is a snapshot. Two snapshots of the same procedure, taken a year apart, carry something a single document cannot: a labeled edit. Someone added a verification step, split a combined step, tightened a precondition or retired a tool. The change note often says why.
That pairing of before, after and reason is useful for a robot-learning team in three ways. It gives you supervised examples of how procedures get repaired after problems. It lets you build test items where the correct answer depends on the version in force. And it exposes how often wording changes while the physical task stays the same, which matters when you decide how much to trust text-derived task structure.
If you are still deciding whether procedure text belongs in your program at all, start with what SOPs can and cannot teach a humanoid. This page assumes you have decided yes and want the versioned layer.
Where revision records live inside a business
Versioned procedures are a by-product of controlled documentation. ISO 9001 sets generic requirements, applicable to any organization, that include documented information under its support clauses (ISO, 2026). Businesses that run a quality system under it, or under a customer or regulator requirement, tend to keep an approval trail for each procedure. In pharmaceutical manufacturing, US regulation expects written procedures and changes to them to be drafted, reviewed and approved, and expects deviations from them to be recorded and justified (FDA, 21 CFR 211.100). This is not legal advice, and a given supplier's obligations depend on its sector.
Typical sources:
- Document-control systems with version tables and approval workflows.
- Word or PDF files with a revision block on the first page and tracked changes in earlier drafts.
- Authoring tools that store each release as a structured export, covered in structured authoring exports.
- Change-request tickets that sit beside the document and hold the stated reason.
- Quality or engineering teams who keep superseded copies in an archive folder because audits ask for them.
If you want suppliers with this depth of record located, describe the document types and version depth in a buyer request. How these records sit in the wider document family is explained in quality-system document hierarchies.
What a revision history can support and what it cannot
| Use | What the history contributes | What it does not provide |
|---|---|---|
| Change-aware grounding | Version-tagged step text so a planner cites the right edition | Evidence the robot can perform either edition |
| Procedure repair examples | Before/after pairs with a stated reason | Proof the revision fixed the underlying problem |
| Evaluation items | Questions whose answer flips between versions | Physical success measurement |
| Drift analysis | A record of how text diverged from earlier practice | The actual practice; see procedural drift |
| Corpus hygiene | Knowing which copies are superseded | Rights to use any version |
Illustrative revision record
The record below is Illustrative: all values are synthetic. It shows the minimum fields worth asking for so that two versions can be paired and a change can be classified.
# Illustrative revision record: synthetic values only
doc_id: SOP-site_017-0042
title: "Bin replenishment at pick face"
version: "C"
supersedes: "B"
effective_date: 2025-03-01 # buyer should ask what the date means
change_type: step_added # step_added | step_removed | reordered | parameter_changed | wording_only
changed_steps: ["4", "5"]
change_reason_text: "Added scan check after near-miss in zone_B"
reason_category: incident_followup # buyer-defined taxonomy
approver_role: "quality_lead" # role, not a named person
training_required: true
text_diff_available: true
source_format: "pdf_with_revision_block"
Role fields stand in for names on purpose. Approver and author names are personal data and rarely help a model.
Quality and acceptance criteria
Accept a revision set only when you can test it, so define the checks before you buy.
- Complete chains. For a sample of documents, every version from first release to current is present, with no silent gaps between letters or numbers.
- Reason coverage. The share of changes with a stated reason is reported, and wording-only edits are separated from substantive ones.
- Date meaning. The supplier says whether a date is approval, effective or print date. They are often different.
- Format fidelity. Tables, numbered sub-steps and warnings survive conversion; scanned versions are flagged, and parsing scanned manuals covers what that costs.
- Split discipline. If you evaluate on version pairs, hold out whole documents or sites, not individual versions of a document you trained on.
What this data cannot support
A revision history records what the document owner approved. It does not record what happened on the floor, so it cannot tell you whether a revision was adopted, ignored or applied unevenly. Pair it with deviation reports or direct observation if adoption matters.
It also carries no motion, force, grasp or perception data. A humanoid's control policy needs robot or teleoperation data, or at least human demonstration with tracked hands; revision text and SOPs alone cannot train it. Step wording changes tell you little about trajectories.
Extra preparation is usually needed. PDF redlines must be parsed into before and after text. Change reasons must be classified with a taxonomy you set. Proprietary parameters, supplier names and personal names need decisions covered in redacting SOPs.
Permissions and provenance
Revision histories are more sensitive than the current SOP in one respect: change reasons often describe incidents, audit findings or customer complaints. A supplier may be willing to license the clean procedure and unwilling to license the story of why it changed.
Ask who authored each version, whether any text came from a customer, regulator, standard or equipment maker, and whether the licensor can grant training and evaluation use for each. Ownership questions are developed in who owns a procedure. Redacting names does not settle whether the supplier may license the content.
Questions to ask suppliers
- Do you retain superseded versions, and for how many years back for the documents in scope?
- Is the stored change reason free text, a coded field or absent?
- Do you hold both the clean text and tracked-change drafts, or only released PDFs?
- What does the effective date on each version mean in your system?
- Were any versions authored by a customer, equipment maker or consultant?
- How were revisions rolled out, and is there a record of training or read-and-sign for each?
- Can change reasons that reference incidents be licensed, or must they be withheld?
- Can you provide a sample chain of three or more versions for one procedure before we scope a larger package?
For the corpus-level tests that apply on top of these, see the SOP corpus evaluation checklist.
Discuss your requirements
If versioned procedures belong in your data plan, describe the document types, industries, version depth and rights you need. SourceX reviews the requirement and follows up about potential sources among US businesses; a request does not guarantee a match. SourceX's role is sourcing, rights review, licensing and delivery coordination; parsing and structuring are scoped case by case. Start from the humanoid training-data section or the procedures hub, or read about SOP and playbook datasets.
Explore sourcing and licensing options with SourceX.
Sources
- ISO 9001:2026 Quality management systems - Requirements — generic quality requirements including documented information.
- 21 CFR 211.100 Written procedures; deviations — procedure changes are approved and deviations recorded in pharmaceutical manufacturing.