amos689 / paperdelta

Review how experiment changes affect an existing research paper. 
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An accuracy result changes from **84.1% to 80.9%**. The abstract, table and
appendix still repeat the old number; a **3.1 percentage point** improvement and
an **outperforms baseline** claim no longer hold. PaperDelta traces those statements
to declared experiment evidence and brings the affected locations together for review,
even when no manuscript file changed.
Local Python CLI · LaTeX / Markdown / Quarto + optional Word/PDF · exact decimal arithmetic · offline HTML · optional MCP.
Checking needs no model key, GPU or TeX installation.
A 27-second walkthrough of real reports: change experiment evidence, inspect the
abstract, table and claim, then open a separate source/PDF example with a stale export.
Open the full-size animation ·
View the static screenshot.
**2.0.0** brings the declared experiment identity, exact source hashes, original context,
units, records and conflicts into one Agent proposal review. Studio and the CLI share
that evidence; staged agents can retract a mistaken declaration within a fixed budget.
Mappings still require explicit review and confirmation.
Agent evidence review · Incremental checks ·
Annotated-copy guide · Choose your task ·
Revision workbench · Notebook/Quarto workflows.
Use static LaTeX, Markdown/Quarto,
Word or PDF with the same declared
experiment evidence and statistical contracts.
Run `paperdelta studio` for local binding review, snapshots, ongoing checks and draft
recovery. The interface supports English/Chinese throughout; see the
Studio guide and delivery roadmap.
The project has received positive informal feedback from several users; it is
not presented as a measured usability study. Releases use normal version numbers.
## Install and see the first report
For static source examples, use `paperdelta demo --document markdown --out md-demo --open`
or `paperdelta demo --document quarto --out qmd-demo --open`. No extra or renderer is needed.
For the source/PDF example, install `paperdelta[pdf]` and run
`paperdelta demo --document pdf --out pdf-demo --open`.
The report highlights original pages; PDF review is read-only and does not perform OCR.
For a Word example, install `paperdelta[docx]` and run
`paperdelta demo --document docx --out word-demo --open`.
Word review is read-only; supported structures and positions are explicit.
Use Python 3.11 or newer. In a virtual environment:
 [code] 
With uv installed, try
`uvx --python 3.12 paperdelta@2.0.0 demo --out paperdelta-demo --open` in an isolated
tool environment. Use a new output directory for each run. See
optional native readers and startup diagnostics.
If needed, create the environment first with `python -m venv .venv`. Activate it
with `.venv\Scripts\Activate.ps1` on Windows PowerShell or
`source .venv/bin/activate` on macOS/Linux (use `python3` when creating it there).
The installed package includes the complete offline example. Ope