Research Review
Open a record.
Work on a claim.
Inspect a contribution, prepare a claim for your participant client, or open its returned packet to follow reviews, corrections and funding.
Open a research file
A journal (up to 8 MiB) or workflow packet (up to 16 MiB). Files stay in this tab: no upload, browser storage, wallet or signature. Hash checks establish internal consistency, not authorship or scientific truth.
JavaScript is required to validate and open a research file.
Record & evidence
Claim & review
Choose the statement and checks you want reviewed. Editing this draft leaves the original journal record unchanged.
Select a contribution to prepare a packet.
The download contains the complete journal, including entries beyond a historical cutoff. Check it before sharing. The client submits only your chosen claim, reasoning and provenance hashes.
Use your participant client
From a verified source checkout, inspect the downloaded file, then submit with your existing home and verified client. Replace the two absolute paths below. Open the returned packet here to continue.
python3 tools/research-review/workflow.py inspect --packet ./zerone-research-workflow.json
python3 tools/research-review/workflow.py submit --packet ./zerone-research-workflow.json --home /absolute/participant-home --client /absolute/verified-package/shared-claims.py
python3 tools/research-review/workflow.py refresh --packet ./zerone-research-workflow.json --home /absolute/participant-home --client /absolute/verified-package/shared-claims.py
Recover an interrupted submission
Use refresh first. If the packet remains started without a receipt, deliberately resume through the existing client’s recovery guards. Do not submit it again.
python3 tools/research-review/workflow.py resume --packet ./zerone-research-workflow.json --home /absolute/participant-home --client /absolute/verified-package/shared-claims.pyReviewers choose and sign their own reasons and verdicts. This page never holds a key or signs a transaction.
Participant setup and review guide → · Workflow commands and journal tools →
Chain observations have their own block heights and times, separate from the journal cutoff. An inconclusive review stays inconclusive; corrections and payments appear only as recorded.
Native history requires a successful submission receipt. Saved observations are dated endpoint state, not fresh reads or proofs of truth.
Journal history and relationships
Contributions
Relationships
Recorded relations to the selected contribution. A highlighted path suggests what to inspect; it does not establish falsity.
Concerns in this snapshot
Attributed leads for review, not misconduct verdicts.
All assessments in this snapshot
Every author and scope is retained. Later assessments do not erase disagreement.
Compare complete journals
Choose a second journal export. Comparison is independent of the timeline cutoff; it does not choose a canonical or trustworthy branch.
Open a primary collection first. JavaScript is required for comparison.
Try fictional branch A and branch B. Open A above, then compare B here. Neither depicts an actual external reviewer.
About the records and their limits
The cutoff applies to all journal records before display. Earlier events discovered later remain absent from earlier snapshots. Unknown dates stay unknown; “full collection” means this imported file.
For a correction, add a new journal record using supersedes to retain the earlier version, then prepare its own claim. Earlier assessments do not transfer to it.
Possible reassessment follows supports from evidence to claim, requires from prerequisite to dependent, and uses-input from input to activity. Shared input is labelled separately. Citation, inspiration and refinement do not propagate the highlight.
Attributions are declared labels. The fictional example depicts no real research, people or on-chain state. Evidence links open only when you choose them; they are not verified here.
Download a dated research checkpoint · AdaGrad experiment · Journal tools and format documentation · Download the fictional collection