Point Apptainer downloads to the TMaxxx unified pool

README.md

@@ -96,13 +96,4 @@ The source includes 67 references to three unavailable local image names. These
 
 ## Apptainer images
 
-The pool currently contains **811 / 29,501** verified Apptainer SIF images. Shared environments are stored once. Each published SIF passed `apptainer inspect`, a contained shell smoke check, and remote SHA256 verification. These checks do not constitute a full task evaluation.
-
-Download `apptainer/download_apptainer.py` and run with Python 3.11+ and `huggingface_hub` installed:
-
-```sh
-python download_apptainer.py --repo hamishivi/agent-task-recursive-task-synthesis --output ./sifs --allow-partial
-export SWERL_APPTAINER_SIF_DIR="$PWD/sifs"
-```
-
-Omit `--allow-partial` to require a complete pool. Filenames follow `tmax-private/geomean_mask` image resolution. Task archives and the training split remain necessary. `apptainer/manifest.jsonl` records source references, SIF checksums, publication commits, and build provenance. Pending images cannot run from this pool yet. Indexes refresh periodically while builds are in progress.
+The current Apptainer pool and unified download manifest are maintained in [TMaxxx/agent-task-recursive-task-synthesis](https://huggingface.co/datasets/TMaxxx/agent-task-recursive-task-synthesis). New SIF uploads go to TMaxxx; earlier images remain available here. Use the downloader and manifest in the linked repository to retrieve all available images with tmax-compatible filenames.