# What rebuilds from this release, and what does not

Checked by running each script in a clean directory containing only this dataset and the two
code repositories, with `ATLAS_DATA` pointing here and no other access.

**The last run: 6 November 2026, at tag `v1`.** Two fresh clones, this dataset downloaded at
the tag into an empty `ATLAS_DATA`, a new virtual environment built from the tool
repository's own `pyproject.toml`, and an empty Hugging Face cache — so nothing was served
from a machine that had seen the data before. The run of 5 November was repeated on 6 November
after the repository a script fetches from became an environment variable (`ATLAS_DATASET`),
which touched eighteen released scripts: all 106 still import, the seven that run from the
release still run, and the nine figures are still byte-identical.

**The versions it ran under**, because byte-identical output is version-sensitive and
matplotlib changes its rendering between minor releases: Python 3.12.13, numpy 2.5.4,
scipy 1.18.1, matplotlib 3.11.2, huggingface_hub 2.4.0. The figures below are byte-identical
under those; under others, compare the figures' JSON sidecars, which carry the numbers.

## How to put the two repositories on the path

Both repositories' `experiments/` directories are plain script folders, not installed
packages: `pip install -e` installs `profilebattery`, not `experiments`. Paper 2's analysis
scripts import five helpers that live in paper 1's repository (`atlas.py`,
`construct_token_loss.py`, `b10_fit.py`, `b10v.py`, `concept_store.py`), so **both repository
roots go on `PYTHONPATH`**:

```sh
export ATLAS_DATA=/path/to/AtlasOpenCoder
export PYTHONPATH=/path/to/AtlasRepresentationalDrift:/path/to/AtlasCalibratedConceptProfiles
```

With that, **all 106 released scripts import**. Without the second entry, 45 of the drift
repository's 50 scripts fail on a missing module.

## Rebuilds from the release alone

Each of these was run in the clean tree and wrote its artefact.

| script | repository | what it makes | time |
|---|---|---|---|
| `figure_method.py` | tool | Figure 1 (paper 1) | 1 s |
| `figure1_small.py` | tool | Figure 2 (paper 1) | 1 s |
| `figure1.py` | tool | Figure 1's neuron map | 2 s |
| `figure_c1.py` | tool | Figure C.1 (paper 1) | 1 s |
| `paper2_figures.py` | drift | Figures 1–4 (paper 2) | 1 s |
| `twin_ceilings.py` | tool | `TWIN_CEILINGS.json`: every construct's twin ceiling at all 61 references, from `validation/carriers/` | 11 s |
| `check6_companions.py` | tool | the companion check and Table B.3's asymmetry columns | 1 s |
| `core_counts.py`, `b_subtypes.py` | tool | §3.1's core families, B's sub-sets, each set's grid by scope and padding | |
| `backfill_paper1.py` | tool | `SET_GRIDS.json`, checked against all four printed grids | |
| `probe_margins.py` | tool | §4.7's probe margins | |
| `c3_yardstick_nats.py` | tool | Appendix C.1 | |
| `b10_fit.py` | tool | the spacing model | |
| `backfill_summaries.py` | drift | the four summaries paper 2 quotes, each checked against the printed figure | |
| `b12_twin_turnover.py`, `b18_recurrence.py` | drift | re-read the carrier sets at every reference, which are released for all 61 | |

**The nine figures of both papers come out byte-identical to the ones in the PDFs** — the
same SHA-256 for each, from the five figure scripts above.

## Needs the record, which is not released

The record is 2,022 GB over 61 references and this dataset carries one worked example, so
these scripts cannot run here. **Each says so and writes nothing** rather than producing a
file that looks complete:

| script | what it needs | what it says |
|---|---|---|
| `band_held.py` | `record/<ref>/twin1__<c>_A.npz` for the eight length-sensitive statements | "read 0 of 8 constructs … the public dataset does not carry [the per-prompt record]" |
| `check4_relative.py` | `record/<ref>/{twin1,alt}__<c>_A_acc.npz` for all 188 | "read 0 of 188 constructs … Nothing written" |
| `licence_tables.py` | `profiles/<ref>/twin1/<c>.npz` for the 31 per-prompt constructs, for Table B.1's two null ratios | names the first missing profile and points at `NULL_RATIOS.json`, where the ratios themselves are released |
| `rate_readings.py` | the carrier index across references in the recorder's own layout | its output `RATE_READINGS.json` is released, so the numbers are checkable |
| `record_size.py` | the dataset repository's whole file tree, because that tree is the record | its output `RECORD_SIZE.json` is released |
| `assign_tiers.py` | the prior study's `compositional_level.csv`, named on the command line | argparse says the argument is required |
| `build_battery.py` | the generator — and could not reproduce the battery anyway: the per-prompt seeds are salted | |
| `run_s15.py`, `run_s16.py` | OpenCoder's checkpoints and a GPU | |

So every number those scripts stand behind is **checkable in the released artefacts** even
where the script that wrote them cannot be re-run here. The one exception is named in each
paper's manifest.

## One script disagrees with its own released input

`retention_table.py` (drift) reads `validation/ablation/FULL_pretrain_iter_0484865.json`,
which is released, but raises `KeyError: 'drifted'` on `For` and `If`: in that file those two
carry `drift_unavailable` ("this is the first reference of the run"), while the published
`TABLE_D1_retention` has all 16 rows. The table and its input disagree, so the script cannot
reproduce the released table.