# Pixel arm: the best pixel-root memory (window model + 8-step update head; 2026-10-31) The current best pixel (root) memory on the orbit benchmark. It replaces the previous pixel arm (Bk, formerly `12_pixel_arm_bk/`, removed 2026-11-01): same window model, a head retrained for 8 update steps, and a lighter evaluation configuration. It matches Bk's PSNR at the end of the stream (−0.00 ± 0.03 dB on test33) with better LPIPS (−.010), 3.75 x less memory and about 3.5 x the speed. - `model_001000.pt`: the window model (3D-Belief trunk, proposal head, Gaussian decoder; EMA) of `outputs/joint_j1keptlr`, step 1000. The same file as Bk's (sha256 unchanged); `args['decoder_from']` is repo-relative (the only change from the cluster original). - `upd_000800.pt`: the learned root update head (EMA, `['ema']`), retrained for 8 update steps (`outputs/opt_it8`, `command_head.json`): head only, from Bk's head, 800 steps, head lr 2.5e-5, seed 3, rollouts over 400 DL3DV training orbits (`data/orbit_cache/dl3dv_train`, disjoint from val33 / test33) with the 5 deg / .08 pose store, replay 8 views at a time and kept targets. Its `['args']` still carries absolute cluster paths inherited from older heads; loading reads only `['ema']` and `inner_lpips`. - `command_window.json` / `command_j1.json`: the window model's training (J1, then Bk's +1000 steps at half lr); `command_eval_test33.json`: the evaluation that produced the numbers below (shard 0 of 4). **Needs, besides these files** (run from the repo root, branch amodal-completion, commit b7f7e0a or later): - the decoder construction files `free_completion_20260927/checkpoints/ray/step002000` from `03_checkpoints_streaming.zip`, at `outputs/free_completion_20260927/checkpoints/ray/step002000` (the snapshot's weights are loaded over it); - the 3D-Belief prior `3d_belief_re10k_256.pt` at `$FLC_BELIEF_CKPT` (read when the trunk is built; not in this repo); - for `--sky-layer`: the sky segmenter `nvidia/segformer-b0-finetuned-ade-512-512` at `checkpoints/segformer_b0_ade`; - the orbit caches `data/orbit_cache/dl3dv_test33` (and `dl3dv_val33`) from `11_orbit_eval_data/`. ## How it is run Each 6-frame window (advancing 2 frames) is written into the root memory; the update head then refines the roots for 8 steps, fitting the window's frames plus a self-replay of every stored past pose that overlaps the update. A pose is stored when it is > 10 deg or > 0.15 x scene depth from every stored pose; its replay target is **kept**: the memory's own render right after the last window that observed that pose or its cell (uint8, 256 px). Lossless speed-ups (half-precision state and roots, a lean bookkeeping TSDF, a cheaper exact gradient), every render on a 5 x 5 Gaussian lattice per root (25 Gaussians), pruning by opacity mass, a short lifetime for the update state of roots not updated recently, and a sky layer (a direction-only panorama of observed sky behind the Gaussians; far views skip roots that render mostly on sky). **No past real frame is stored**: each window's frames are used for its write and update and dropped. Kept per stream (test33, ~348 MB at the end): roots, update-head state, bookkeeping TSDF, replay poses (+ 32 x 32 caches rendered from the memory), kept replay targets (the memory's own renders), and the sky panorama + masks (one fused colour per observed sky direction, the only stored content derived from real pixels). python scripts/unified/eval_long_stream.py --snapshot 13_pixel_arm/model_001000.pt --root-updater 13_pixel_arm/upd_000800.pt \ --replay-chunk 8 --replay-store cell --fast-grad --state-half --roots-half --tsdf-lean --tsdf-carve 0 \ --lod 5 --prune-mass .4 --state-ttl 4 --tsdf-size .1 --sky-layer --sky-thr 2 --sky-far 16 \ --admit-angle 10 --admit-dist .15 --ru-iters 8 \ --data data/orbit_cache/dl3dv_test33 --clips 33 --loops 2 --async-period 0 --out