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Reviewers Needed

This project needs direct reader evidence from people who actually read a page, run a command, or attempt an exercise.

The goal is not praise, ranking, or a broad opinion survey. The goal is one precise report that shows where the learning path first stopped working.

Minimum Accepted Report

A report can be accepted when it contains all six fields below:

Perspective:
Command or page tried:
Evidence signal:
Last clear idea:
First unclear point:
Smallest useful fix:

The evidence signal must be visible in the book, terminal output, compiler output, test output, table row, code block, or exercise prompt. The fastest useful report is one exact sentence, output line, or boundary row plus the smallest change that would have helped.

Current target:

1 Rust engineer report
1 ML engineer or learner report
1 category-theory reader report
1 technical educator report
1 beginner-adjacent learner report

Open Review Slots

Each slot needs one direct reader report from someone who personally read a page, ran a command, or attempted an exercise. Routing issues help reviewers find the path, but the slot is not filled until a report includes evidence.

Needed report Route Report link
Rust engineer issue #8 Open Rust engineer report
ML engineer or learner issue #9 Open ML engineer report
Category-theory reader issue #10 Open category-theory reader report
Technical educator issue #11 Open technical educator report
Beginner-adjacent learner issue #12 Open beginner-adjacent learner report

Open a quick report here:

https://github.com/hghalebi/category_theory_transformer_rs/issues/new?template=quick-reader-report.yml

Open a fuller chapter clarity report here:

https://github.com/hghalebi/category_theory_transformer_rs/issues/new?template=chapter-clarity.yml

Use the one-page reader review worksheet while reading or running examples. It gives five route cards and a copy/paste report shape.

If you want to see the shape of a useful report before opening an issue, read docs/review-examples.md.

Share This Reviewer Call

Use this short text when inviting a reviewer:

Category Theory for Tiny ML in Rust needs one precise reader report.

Pick the closest path: Rust, ML, category theory, technical educator, or
beginner-adjacent learner.

Spend 20 minutes, stop at the first unclear point, and open one report with:
the page or command tried, one visible evidence signal, the last clear idea,
the first unclear point, and the smallest fix that would have helped.

Public book:
https://hghalebi.github.io/category_theory_transformer_rs/

Reviewer guide:
https://github.com/hghalebi/category_theory_transformer_rs/blob/main/REVIEWERS.md

Quick report form:
https://github.com/hghalebi/category_theory_transformer_rs/issues/new?template=quick-reader-report.yml

Full chapter-clarity form:
https://github.com/hghalebi/category_theory_transformer_rs/issues/new?template=chapter-clarity.yml

If a diagram is where the path stops working, use Exercise 17: Reconstruct A Diagram By Hand as the review method. A useful diagram report says which object, arrow, product input, state update, or safe non-claim could not be recovered from the page.

No-Clone Review

If you cannot clone the repository right now, you can still give useful direct reader evidence from the public book.

Use this route:

  1. Open the public book: https://hghalebi.github.io/category_theory_transformer_rs/
  2. Read one short path: Welcome, Course Map, Domain Objects, or Morphism and Composition.
  3. Stop at the first sentence, heading, diagram, table row, code block, or exercise prompt that becomes unclear.
  4. Open the closest report link below and include the public page you read as the command or page tried.

A no-clone report counts when it names a public page and one visible evidence signal from that page. It does not count if it only says the project looks interesting, confusing, or useful.

Fastest no-clone report: Open beginner-adjacent learner report.

Who We Need

The most useful review round has one report from each perspective:

Perspective First action Useful evidence signal
Rust engineer Run cargo run --example 01_domain_objects and cargo run --example 02_morphism_composition first unclear type, constructor, trait boundary, compiler signal, test name, or output line
ML engineer or learner Run cargo run --example 03_training_endomorphism and cargo run --example 07_transformer_training_state first unclear logits, probability, loss, training update, attention role, or state transition
Category-theory reader Run cargo run --example 02_morphism_composition, cargo run --example 05_seven_sketches, and cargo run --example 06_attention_scores first overloaded term, missing law, unclear morphism shape, sketch-transfer issue, fixed-mask context issue, or roadmap precision issue
Technical educator Review README.md, START_HERE.md, docs/educator-path.md, and book/src/exercises.md first missing next action, weak practice loop, unclear exercise expectation, or feedback cue
Beginner-adjacent learner Run cargo run --example 01_token_sequence or read START_HERE.md first sentence, command, output line, or term that becomes too compressed

If none of these fits, choose the closest perspective in the issue form.

Open The Right Report

These links open the same public chapter-clarity form with the title, location, and command path already filled. Please still write your own evidence signal from what you personally read, ran, or attempted.

If you only have one concrete signal, use the quick reader report form. If you want to include expected-versus-actual context, use the detailed report links below.

Perspective Report link
Rust engineer Open Rust engineer report
ML engineer or learner Open ML engineer report
Category-theory reader Open category-theory reader report
Technical educator Open technical educator report
Beginner-adjacent learner Open beginner-adjacent learner report

Current High-Value Target

The most useful category-theory report right now can start at either the Seven Sketches transfer route or the roadmap Reader Evidence Handoff.

Use this route when the issue is whether applied-category vocabulary transfers back into tiny ML:

docs/category-theory-path.md -> Seven Sketches Transfer Drill
book/src/seven-sketches-rust.md -> Bridge Back To Tiny ML
book/src/exercises.md -> Exercise 10 -> Bridge-back-to-tiny-ML option
cargo run --example 05_seven_sketches

Use this route when the issue is source, target, product input, or fixed context:

book/src/roadmap.md -> Attention Mental Model Repair Table
book/src/roadmap.md -> Category Shape Diagnostic -> Reader Evidence Handoff
book/src/roadmap.md -> Category Shape Diagnostic -> Source-Target Audit Card
cargo run --example 06_attention_scores
AttentionScores x AttentionMask -> AttentionScores

Use the repair table, handoff, and audit card to report one shortcut row, boundary row, output line, or naming rule where the whole source object, target object, or context status became unclear.

Start with the first four lines of cargo run --example 06_attention_scores. The most useful Q/K/V report says whether this line makes score ownership clear before any attention weights appear:

query rows own score rows; key/value rows own score columns

Then report whether the next line keeps shared self-attention source separate from projected Q, K, and V roles:

self-attention shares the hidden source before projection; projected roles stay distinct

One narrow target inside that handoff is the fixed-mask attention explanation:

open boundary:
MaskedMultiHeadTransformerBlock : HiddenSequence x AttentionMask -> HiddenSequence

fixed context:
choose one mask M

induced view:
MaskedMultiHeadTransformerBlock[M] : HiddenSequence -> HiddenSequence

Run cargo run --example 05_seven_sketches, then the transfer drill if the confusion is about sketch vocabulary. Run cargo run --example 06_attention_scores, then read the roadmap handoff and the Context-Fixing Mini-Drill in docs/category-theory-path.md. If the transfer table, closure-capture analogy, or audit card helps or fails, open one report with the exact sentence, code block, table row, or handoff field where the explanation became clear or unclear. The highest-value report says whether the Source-Target Audit Card helped you avoid calling a product-input boundary an endomorphism.

What Counts

A report counts as direct reader evidence only when it comes from your own reading, command run, or exercise attempt.

Include:

  • your closest perspective;
  • the command, example, chapter, exercise, or public page you tried;
  • one evidence signal such as an output line, compiler error, constructor result, test name, table row, sentence, or exercise prompt;
  • the last idea that was clear;
  • the first point where the path stopped working;
  • the smallest change that would help the next reader.

Source And Citation Reports

If your issue is about a reference, citation, source-backed claim, or missing source, use the optional source-role field in the quick or detailed report form.

Name:

  • source role;
  • owned boundary;
  • claim this source supports;
  • claim this source does not support;
  • local Rust file, type, example, or chapter section.

The useful report is not "add more citations." The useful report names one source-backed sentence, table row, chapter reference, code example, or missing source boundary and says which claim became unclear.

Use the source-role table in book/src/references.md and the source-role example in docs/review-examples.md.

After You File

A maintainer will triage the report against the evidence above.

If the report is missing the exact page, command, output line, sentence, table row, or exercise prompt, the next step is clarification.

If the report has enough evidence, it becomes accepted reader evidence for that perspective. Accepted evidence then drives one of two public outcomes:

  • a focused rewrite of the affected chapter, example, table, diagram, or exercise;
  • a recorded theme that waits for a second matching report before a larger rewrite.

When a focused rewrite lands, the change should name the affected public file and the validation command that was run. That makes the feedback loop visible to future readers instead of turning review into a private note.

What Does Not Count

These are useful as general encouragement, but they do not count as direct reader evidence:

  • stars, likes, or broad praise;
  • broad dislike without a blocked learning step;
  • copied prompts or AI-generated critique;
  • private conversation summaries;
  • feature requests without the first unclear point;
  • route-only issues that do not include a reading, command, or exercise signal.

Twenty-Minute Review

Use this short loop:

  1. Pick one perspective from the table.
  2. Spend five minutes on the first command or page.
  3. Continue until the first real confusion point appears.
  4. Open one report with the exact signal and the smallest fix that would have helped.

Stop at the first useful confusion point. One concrete blocked step is more valuable than a full-book opinion.

Report Shape

Perspective:
Friction lens:
Chapter or file:
Command or page tried:
Evidence signal:
First unclear sentence, output line, table row, code block, or exercise:
Last clear idea:
What you expected:
What happened instead:
What would have helped:

Do not include email addresses, private messages, personal notes, or contact details in public reports.