Use when packaging ICLR code, data, checkpoints, demos, logs, and reproduction instructions for reviewers or post-acceptance release…
Use when drafting ICLR OpenReview author discussion replies, revision notes, public comments, restricted comments, and responses to…
Use when preparing an accepted ICLR paper for camera-ready submission, OpenReview metadata, poster instructions, slide deck, project page…
Use when designing or auditing ICLR experiments, including baselines, ablations, scaling laws, robustness, statistics, benchmarks, human…
Use when positioning an ICLR paper against prior work, concurrent OpenReview submissions, arXiv papers, benchmark lineages, and adjacent…
Use when strengthening reproducibility for ICLR papers, including seeds, variance, compute, datasets, implementation details, ethics…
Use when explaining or planning around the ICLR review process, including OpenReview public review, AC/SAC roles, reviewer questions…
Use when organizing ICLR appendices, supplementary files, anonymous code/data, revised PDFs, private links, and discussion-period updates…
Use when deciding whether a project is a strong ICLR submission, should be reframed for ICLR, or should be routed to NeurIPS, ICML, AAAI…
Use when planning an ICLR project timeline from topic selection through OpenReview submission, discussion, revision, decision…
Use when revising an ICLR manuscript for learning-representation framing, OpenReview readability, contribution clarity, limitations…
Scan a workspace, diff it against IDENTITY.md and CONTEXT.md routing files, and update both to reflect new folders, removed paths, and…
Use when packaging ICML artifacts - code, data, model weights, simulators, benchmarks, proof scripts, notebooks, anonymous repositories…
Use when preparing accepted ICML papers for camera-ready upload, PMLR agreement, public OpenReview record, lay summary, conflict…
Use when stress-testing ICML experimental evidence before submission or rebuttal, including strong tuned baselines, mechanism-isolating…
Use when positioning an ICML submission against close ML literature, concurrent ICML submissions, recent public papers, workshop papers…
Use when strengthening ICML reproducibility evidence, including code/data availability, random seeds, compute disclosure, appendix…
Use when explaining or diagnosing the ICML review process, including OpenReview, reciprocal reviewing, reviewer/AC behavior, review…
Use when deciding what ICML material belongs in the main 8-page body, same-PDF appendices, supplementary manuscript, code/data supplement…
Use when planning or sequencing an ICML manuscript workflow end to end - from topic selection and drafting through OpenReview submission…
Use when rewriting a machine-learning paper for ICML-style claims, 8-page clarity, soundness/originality/significance framing, impact…