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alexmandClaude 8c8b51cc3f feat: validator, bundle builder and release checks for 0.1.0 
- Add tools/validate.py: validates packages, and with --correction runs
  proposed corrections through the gate against a package without
  writing anything (spec/11 §11.4). The gate now refuses a proposal that
  fails the correction schema, rule correction.schema.
- tools/load.py validates every package before loading, and with
  --bundle --built-from builds a scienting-bundle/1 with the FTS5 search
  index and bundle_meta (spec/13 §13.5). Search rows are defined per
  unit (sentence, cell, equation outside a sentence, figure-text) with
  the parent kind as context.
- Roster keys carry a role, and a key with the role owner may revoke any
  receipt (spec/08 §8.7, spec/20); roster schema, store table and the
  fixture roster updated. The checker signs a trial revocation to prove
  the rule both ways.
- A qa: receipt raises the nodes it sampled except those in its errors
  (spec/08 §8.2); the example paper's fidelity counts become 27 F3,
  13 F2, 4 F1 and 1 F0.
- The destination chooses the keyed scheme, not the text policy:
  hmac-team between the team's machines, hkdf-pages outside the team
  (spec/05 §5.8, spec/12 §12.5).
- A TextQuoteSelector must repeat the anchor's plain quote and is absent
  for hashed or keyed anchors (spec/18 §18.3).
- Add fixtures/records/suspect.json, a scienting-suspect/1 record.
- Oracle: hashes are kept incrementally and checked after every
  correction against a full recomputation; load and write refuse unsafe
  manifest paths; Ed25519, HKDF and schema validation come from the
  cryptography and jsonschema packages; canonical JSON uses the built-in
  encoder with an exact RFC 8785 fallback.
- The tools need Python 3.14 with cryptography and jsonschema; the py310
  CI environment is dropped and the workflow runs the default only.
- Resolve every [CHECK] note in the docs, READMEs and context; add
  CONTRIBUTING.md; every tool answers --help and refuses unknown options.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
2026-10-14 18:58:00 -04:00

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# FAQ
This page answers questions about manuspec, a set of file formats that give every sentence and table cell of a scientific paper a permanent address.
Newcomers, implementers of a reader, writer, converter or checker, and experts who know JATS (Journal Article Tag Suite), TEI (Text Encoding Initiative) or W3C Web Annotations can all use it.
Each answer gives the plain statement first, then the precise one, then the chapter that defines it.
The repository is <https://git.scient.ing/infra/manuspec>, and the formats are at version 0.1.0.
## Can I read these files without special software?
Yes.
Every file is JSON or JSON Lines (one JSON value per line), and [spec/](../spec/README.md) specifies every format. [The examples](examples.md) read a package with a few lines of Python.
## Why not keep using PDFs and page numbers?
A page number names a region, not a statement, and it changes between a preprint and the version of record.
An address names a sentence or a cell by its ID, such as `hale2026harmonic#j06tfhn`.
It can add a pin (the first six hex digits of the node's hash) and character offsets, which lets a reader check the address against the exact text ([spec/06 §6.1](../spec/06-anchors.md#61-addresses)).
An ID encodes no page, position or kind.
The system mints it once from the document key, kind, text hash and occurrence, then freezes it ([spec/04 §4.2](../spec/04-identity.md#42-minting-node-ids)).
## Why are numbers stored as strings?
Databases and JSON libraries rewrite numbers: `310.0` becomes `310` and `1.5260` becomes `1.526`, and the printed digits are part of what a paper says.
Canonical JSON, the byte-exact form used for hashing, writes numbers as ECMAScript writes a double, so it would erase the same difference.
A decimal that carries meaning is a string.
JSON numbers are for counts, indexes, offsets, sizes and geometry ([spec/01 §1.2](../spec/01-conventions.md#12-numbers)).
## What happens when a better converter comes along?
The system aligns the new reading with the established document, sentence by sentence.
A sentence the alignment pairs keeps its ID even where the readings disagree, which catches a lost superscript instead of accepting it.
Every disagreement, and every sentence found in only one reading, becomes a suspect, a doubtful reading raised for review.
Nothing changes until a correction passes the gate, the rules that refuse, for example, a digit change with no crop of the page image as evidence.
Converting the same input again with the same converter mints the same IDs ([spec/05 §5.6](../spec/05-hashes.md#56-alignment), [spec/11 §11.4](../spec/11-corrections.md#114-the-gate), [spec/04 §4.2](../spec/04-identity.md#42-minting-node-ids)).
## Do I need receipts, rights records and spot-checks for a personal library?
You need no receipts and no spot-checks.
A receipt is a signed record that a named person compared nodes with the page image, and a spot-check is a second reviewer's sample of that work.
One person can leave both out.
Each source file still carries a rights record, though the record can say little: the license as printed, a `basis` of `unknown`, and no uses, each of which then counts as unknown ([spec/14 §14.1](../spec/14-rights.md)).
The fields are defined so that a personal library loads into a team's store later without conversion ([spec/00 §0.4](../spec/00-introduction.md#04-status)).
## Is a model allowed to correct a document?
A model may propose corrections and answer suspects, under the same gate as a person, and its corrections record the model and the run as author.
Only a named person can sign a receipt, and a model's annotation stays `proposed` until a person confirms it ([spec/11 §11.2](../spec/11-corrections.md#112-every-correction-records), [spec/18 §18.3](../spec/18-layers.md#183-the-annotation)).
## Why are annotations W3C Web Annotations?
Tools that follow the W3C Web Annotation model can read the standard parts of these annotations.
A layer, the file that groups annotations, follows the [W3C Web Annotation Data Model](https://www.w3.org/TR/annotation-model/), a W3C Recommendation of 2017.
Each target holds an `AnchorSelector` carrying a `scienting-anchor/1` record, followed by a standard `TextQuoteSelector` for tools that do not know the anchor selector.
(The `scienting-` prefix is the formats' namespace, separate from the repository's name.)
The formats use no `TextPositionSelector` or `FragmentSelector`.
The anchor adds what the standard selectors lack: the node's ID, its hashes, and a defined outcome (`current`, `changed-below`, `moved`, `reattached` or `stale`) when the text has changed.
The Web Annotation model alone is the better-established choice where an annotation needs none of that.
Whether a generic Web Annotation client displays an `AnchorSelector` is untested.
See [the comparison](comparison.md).
## What is the difference between a claim and an annotation?
A statement true independently of the paper, such as "K_r is the bond force constant of the AMBER energy", is a claim.
A claim has to be checked against evidence, so it belongs in a store of checked claims outside these formats, which define no claim semantics.
A statement about reading the paper, such as "the authors pass quickly over the scaling here", is an annotation in a layer, attributed and unchecked ([spec/18 §18.1](../spec/18-layers.md#181-one-rule-decides-what-is-a-claim-and-what-is-a-layer)).
## Can a team share notes on a paywalled paper?
Yes, without sharing the paper.
A checks-only package withholds all text and keeps IDs, labels, pages, boxes and keyed hashes.
A public layer swaps each quotation for keyed hashes, under a key derived from the paper's page fingerprints, so a reader checks and shows it only over their own copy.
The hash must be keyed because anyone can recover a plain hash of a short text such as `310.0` by hashing guesses ([spec/12 §12.5](../spec/12-package.md#125-text-policies), [spec/05 §5.8](../spec/05-hashes.md#58-keyed-hashes), [spec/06 §6.3](../spec/06-anchors.md#63-keyed-anchors)).
Whether a team may share notes on a paper this way is a question for its own counsel; nothing here is legal advice.
## How does this differ from JATS or TEI?
They overlap in subject, not in job.
JATS, the [Journal Article Tag Suite](https://www.niso.org/publications/z3996-2024-jats) (ANSI/NISO Z39.96-2024), is an XML format for publishers and archives to exchange journal content. manuspec does not replace it.
A JATS file is one kind of witness (a source file), an input from which a document is established.
None of the 312 elements in the [JATS 1.4 Archiving tag library](https://jats.nlm.nih.gov/archiving/tag-library/1.4/) marks a sentence; its smallest text unit is the paragraph, `<p>`.
TEI, the Text Encoding Initiative, has a sentence-like [`<s>` element](https://tei-c.org/release/doc/tei-p5-doc/en/html/ref-s.html) and keeps both readings of a corrected passage with [`<corr>` and `<sic>`](https://tei-c.org/release/doc/tei-p5-doc/en/html/ref-corr.html).
The encoder assigns its `xml:id`, and the guidelines [recommend it for durability](https://tei-c.org/release/doc/tei-p5-doc/en/html/SA.html).
manuspec mints and retires IDs by rule, keeps corrections as separate records with evidence, and hashes each node.
Keep JATS for publisher and archive exchange and TEI for general scholarly text encoding.
A TEI file is a witness of kind `xml` ([spec/02 §2.3](../spec/02-model.md)).
The full comparison is [docs/comparison.md](comparison.md)
## What is its status and maturity?
Version 0.1.0 has 27 formats: 20 are `candidate` and 7 are `provisional`, as [registry/formats.json](../registry/formats.json) lists.
A `candidate` format is complete, with vectors and fixtures, and ready to implement.
A `provisional` one is complete and expected to change as implementations gain experience.
The provisional formats are dataset, digitization, view, project, bundle, snapshot and draft-ids.
The repository holds a reference checker (`tools/check.py`), 20 vector files, and 22 example packages, of which 17 are deliberately broken ([spec/00 §0.4](../spec/00-introduction.md#04-status), [spec/22](../spec/22-conformance.md)).
## What does it not do?
It is built for a team-scale corpus of hundreds of documents, not hundreds of millions of papers.
It does not replace publisher interchange formats; it reads JATS as a witness.
It does not fix what a converter reads wrongly.
It records the reading and raises disagreements as suspects, and a correction is checkable.
It is not a search engine, a citation index or a recommendation feed ([docs/overview.md](overview.md)).
## How do I add a node kind or a run kind?
A node kind is a type of document part, such as `sentence`; a run kind is a type of inline content within a sentence, such as `math`.
Propose either with the vector or fixture that shows it.
A new kind is a minor version ([spec/00 §0.3](../spec/00-introduction.md#03-format-identifiers-and-versions)).
See [CONTRIBUTING.md](../CONTRIBUTING.md).
## What are the files in `tools/` for?
`build.py` builds the fixtures and vectors. `check.py` recomputes and checks every one, and `load.py` loads packages into SQLite.
The `oracle/` modules compute every expected value, so that none is typed by hand.
They are not a library; implementations follow the specification ([tools/README.md](../tools/README.md)).
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