RESEARCH AUTOPILOT PRIVATE BETA
A connected map of the work behind a paper: reading, ideas, methods, experiments, debugging, writing, review and release.
TWO 4D RESEARCH JOURNEYS
Two projects, 30 steps each. Watch ten candidates branch out, meet obstacles, recover or stop, then converge into contributions. Real methods and benchmarks; scripted outcomes.
The animation could not load. Explore all 84 tasks below ↓
ActionMesh · ActionBench + Consistent4D
CANDIDATE ROUTES 10 candidates · outcomes pending
Click a route to inspect4D-GS · D-NeRF + HyperNeRF + Neu3D
CANDIDATE ROUTES 10 candidates · outcomes pending
Click a route to inspectDrag each globe or use arrow keys to rotate. + / − zoom; Space pauses. Clicking a step or branch pauses both routes for reading. Vehicles follow the illustrated terrain: boats on water, cars on land, trains on drawn rails.
Explore the research modules ↓Illustrative workflow and scripted branch counts, not reported experimental results. The two-second playback compresses research decisions; each experiment window is eight hours, with verified results, human batch-end review and explicit carryover. The full map retains 16 modules, 84 tasks and 221 conditional connections.
Loading two research journeys.
INSIDE THE MAP
Open any module to see the research tasks it contains. Literature, implementation, benchmarks and experiment design stay connected as results arrive.
PSet research goals, inventory project assets, choose priorities, and plan time, GPU capacity and collaboration.
IStart from a question, working method, results or reviews. Identify the current decision, contribution type, venue and stopping criteria.
LKeep reading papers alongside actual code, supplementary material and benchmark protocols. Update the literature map when new results change the question.
BDefine the task and native scoring, qualify strong simple baselines, and establish their genuine remaining failures before proposing a method.
HTurn remaining failures into competing explanations, falsifiable claims and decisive predictions. Check necessity, novelty and nearby work.
MConnect an intervention to its expected mechanism. Make the mathematics computable, define the algorithm, and examine complexity and assumptions.
SChoose existing benchmarks, inspect data and splits, select models, and freeze fair comparisons and complete run configurations.
GDesign the experiment that can distinguish the candidate explanation from its alternatives. Freeze controls, scoring, precision, budget and decision rules.
EFix environments and dependencies, check implementation semantics, manage execution, and diagnose bugs or parameter sensitivity while retaining failed runs.
VConnect every claim to evidence: repeated comparisons, mechanism checks, ablations, generalization, cost, failures and statistical uncertainty.
WBuild the paper around supported claims. Develop the narrative, sections and sentences, and propagate new findings through the manuscript.
FCreate method figures and editable result plots from identified evidence. Check captions, references, readability and consistency in the compiled manuscript.
RPrepare the submission, track reviewer questions, prioritize justified follow-up experiments, write responses and manage final decisions or resubmission.
APrepare reproducible GitHub releases, Hugging Face assets and demos, arXiv versions and a shared release manifest. Follow reproduction feedback.
CDevelop project pages, posters, talks, videos, public communication and academic outreach, alongside a personal research homepage and knowledge base.
XNavigate across modules, inspect visual and code evidence, explore counter-explanations within the agreed scope, and maintain the map as capabilities change.
PRIVATE BETA
Interested in trying Research Autopilot with your project?
Contact Yunbo Long to join the private beta.