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PlanPhys released-checkpoint reproduction — blocked at inference

Open in molab

This repository tests two pretraining claims from arXiv:2607.24720: whether explicit state-transition reasoning beats direct action prediction, and whether limited long-horizon exposure improves composition beyond short-only training. We reconstructed the unreleased gym from the public Graph A records and released schemas, selected 160 tasks per domain and difficulty, and prepared matched checkpoint-5400 and checkpoint-9000 evaluations.

Assessment: behavioral reproduction blocked. The paper reports large gains, but our observed behavioral numbers are unavailable: all four model-evaluation branches reached a deterministic tokenizer/model compatibility error after their two allowed setup attempts. The independently reconstructed verifier did run successfully on Kubernetes and matched every released gold record, but that method check is not a proxy for model behavior.

Target Paper number Observed number Assessment
World model, middle-horizon avg@8 46.6% → 85.9% Not measured Blocked before inference
World model, long-horizon avg@8 22.7% → 68.5% Not measured Blocked before inference
Short-only → 5%-long, middle pass@8 0.83% → 47.29% Not measured Blocked before inference
Short-only → 5%-long, long pass@8 0.00% → 11.46% Not measured Blocked before inference
Reconstructed Graph A verifier Gold records imply 100% 100% gold success, 100% step-count agreement, 100% corrupted-terminal rejection (n=1,440 each) Aligned method audit

Scope and substitutions: released 100M checkpoints only; Graph A public test pools only; deterministic exact-step stratification with seed 260724720; reconstructed inventory transitions because the gym is still unreleased. Kubernetes was used on a cluster with NVIDIA RTX PRO 6000 Blackwell GPUs. Peak concurrent GPU allocation was 16; measured end-to-end Kubernetes wall time was 337 seconds (0.094 hours), from the first job creation to the successful audit completion.

Read the illustrated report or the self-contained marimo walkthrough.

Experiment log

Branch / experiment Purpose or change Exact run command Assessment / outcome Compute
main Public report, notebook, and repaired reference implementation Not run as an experiment (publication surface) Presentation-only
World model final CoT world model vs direct action, checkpoint 9000 bash scripts/run_reproduction.sh Two setup failures; verifier audit passed before tokenizer incompatibility Kubernetes, 4× RTX PRO 6000 Blackwell
World model intermediate Same comparison, checkpoint 5400 bash scripts/run_reproduction.sh Two setup failures; no behavioral metric Kubernetes, 4× RTX PRO 6000 Blackwell
Long-horizon exposure final Short-only vs S100/M100/L5, checkpoint 9000 bash scripts/run_reproduction.sh Two setup failures; no behavioral metric Kubernetes, 4× RTX PRO 6000 Blackwell
Long-horizon exposure intermediate Same comparison, checkpoint 5400 bash scripts/run_reproduction.sh Two setup failures; no behavioral metric Kubernetes, 4× RTX PRO 6000 Blackwell
Graph A verifier audit Gold, step-count, and terminal-corruption checks bash scripts/run_reproduction.sh Completed: all three checks 100% on 1,440 tasks Kubernetes CPU job; RTX PRO 6000 Blackwell cluster

Reproduction implementation

The evaluator selectively downloads only two configured checkpoints plus nine Graph A test files and the matching item/schema maps. It builds the current inventory, maps concrete names to abstract recipe nodes, applies one- or two-input transitions without consuming prerequisites, and declares success only when the concrete target enters inventory. Model evaluation uses temperature 0.4, eight trajectories per task, a 20-turn cap, strict and lenient parsing, and paired task bootstrap intervals.

bash scripts/run_reproduction.sh

The command is intended for the committed Kubernetes manifest. Expensive inference was not rerun after the repair cap; the main implementation includes the diagnosed token_type_ids compatibility fix for future work.

Upstream release

This repository began from the public PlanPhysCode release. Checkpoints and datasets remain on their Apache-2.0 Hugging Face repositories and are downloaded at runtime rather than redistributed here.