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update Vac DR roadmap
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## `vac:dr:zk:codex:`
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* [[ vac/dr/zk/codex/storage-proofs-open-problems-review | storage-proofs-open-problems-review ]]
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* [[ vac/dr/zk/codex/zk-consulting | zk-consulting ]]
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## `vac:dr::nomos:`
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* [[ vac/dr/g/nomos/reviews.md | reviews ]]
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---
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title: "Codex Deep Research ZK consulting"
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description: "consulting Codex on various ZK related subtasks"
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---
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## `vac:dr:zk:codex:zk-consulting`
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---
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```mermaid
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%%{
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init: {
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'theme': 'base',
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'themeVariables': {
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'primaryColor': '#BB2528',
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'primaryTextColor': '#fff',
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'primaryBorderColor': '#7C0000',
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'lineColor': '#F8B229',
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'secondaryColor': '#006100',
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'tertiaryColor': '#fff'
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}
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}
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}%%
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gantt
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tickInterval 1month
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dateFormat YYYY-MM-DD
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section Status
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zk-consulting: 2023-04-14, 2024-12-31
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```
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- status: 10%
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- CC: Marvin
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### Description
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This Milestone comprises deep research ZK consulting for Codex:
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Here is a high level description of Codex ZK research problems: https://hackmd.io/1IZiFSiYSdyrbaKxKeUevg
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1) summarizing existing research relevant for us (exactly which papers is kind of dynamically determined), in form of PDF notes and face-to-face explanations. We agreed with Marvin that this is probably the easiest way to get something going
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2) finding a suitable set commitment scheme (for tracking which proofs are present / not present in an aggregated proof)
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3) figuring out the details of recursion for elliptic-curve-and-pairing based schemes (while this is solved, more clarity on this is required)
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Regarding 3): Even if we end up using a non EC scheme for "large data", KZG (and thus EC pairings) seems to be a much better choice for "small data",
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so we will probably need this in any case (unless we can efficiently verify KZG proofs in a small field / FRI setting).
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Some of these tasks are explorative. Expected outputs are regular reports.
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A follow-up milestone for the next reporting period is expected.
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### Justification
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### Deliverables
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* regular reports.
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