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Summary
Run a full, evidence-heavy measurement trial for every context/workflow tool that has been introduced into the Entroping
agent workflow: curated Markdown/Obsidian view, Graphify, LLM wiki, Understand ...
area:tests
priority:p1
status:in-progress
type:feature
sakibshuvo
Production URL health check failed.
URL: HTTP Status:
확인 항목:
- Vercel 배포 상태 확인
- 최근 커밋 확인
- 프런트엔드 빌드 로그 확인
frontend
health-check
monitoring
github-actions[bot]
Thanks for @hebcal/leyning — we use it for the weekly aliyot in a daily Torah-study app.
For Parashat Terumah, getLeyningForParshaHaShavua(...).fullkriyah returns:
- Aliyah 2 (Levi): Exodus 25:17–40 ...
meirpro
Goal / Problem
Document the prediction research lane, dependency order, evidence tiers, and stop/revise/continue routing so future issues do not duplicate work or leapfrog gates.
## Archetype Metadata ...
agent
documentation
evidence:nominal
priority: medium
research
resource:local
type:docs
ll7
Parent Algora bounty: #743
Bug
When a request body fails Zod schema validation (e.g. registerSchema.parse(req.body) in authController.js), the thrown
ZodError propagates to errorHandler in middleware/errorHandler.js. ...
XananasX7
Goal / Problem
Generalize forecast evaluation metadata and denominators so fast dynamic actors such as bicycles are either forecast-evaluable under explicit actor-class rules or excluded without contaminating ...
agent
benchmark
evidence:smoke
priority: medium
research
resource:local
type:benchmark
Goal / Problem
Evaluate forecast robustness across observation noise, latency, dropout, occlusion, map family, density, pedestrian-model shift, and actor-type shift before promoting stronger prediction ...
agent
benchmark
evidence:stress
priority: medium
research
resource:local
type:benchmark
Goal / Problem
Add a lightweight learned probabilistic forecast baseline only after the prediction lane has durable data, schema, metrics, and a passing closed-loop coupling gate.
## Archetype Metadata ...
agent
benchmark
evidence:blocked
priority: medium
research
resource:local
state:blocked
training
type:training
Goal / Problem
Evaluate whether heavier AgentFormer-like, transformer, CVAE, or diffusion-style predictors are worth adding offline before any planner integration or default workflow change.
## Archetype ...
agent
benchmark
evidence:blocked
priority: low
research
resource:local
state:blocked
type:analysis
Goal / Problem
Prevent training-heavy learned prediction work until forecasts demonstrably affect selected actions or local-policy outcomes beneficially under same-seed closed-loop evaluation.
## Archetype ...
agent
benchmark
evidence:stress
local planner
priority: high
research
resource:local
type:benchmark
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Learn how you can use GitHub Issues to plan and track your work.
Save views for sprints, backlogs, teams, or releases. Rank, sort, and filter issues to suit the occasion. The possibilities are endless.Learn more about GitHub IssuesProTip! Restrict your search to the title by using the in:title qualifier.