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curv-institute/price-of-readout

https://github.com/curv-institute/price-of-readout · scanned 2026-06-17 01:52 UTC (1 month, 1 week ago)

17 raw signals (0 security + 17 graph)

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Last scanned 1 month, 1 week ago · v2 · last Δ +15.0 (diff) · 15 actionable findings from 1 signal source. 2 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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44.4% cov · 15 findings

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Severity: Critical 0 High 2 Medium 1 Low 8 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 15 Crowd 0 Layer: Software 5 Security 3 Quality 7

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All 190 nodes from the latest scan, grouped by kind. Each node is a unit the engine identified (file, function, endpoint, table…). Most users won't need this view — it's primarily for debugging the engine's graph extraction or for AI agents that want to enumerate the project structure.

Label	Layer	Status	Path
`check`	software	healthy	`theory_verification/superposition_min_e.py:86`
`vec_add`	software	healthy	`theory_verification/superposition_min_e.py:113`
`vec_scale`	software	healthy	`theory_verification/superposition_min_e.py:117`
`vec_float`	software	healthy	`theory_verification/superposition_min_e.py:121`
`vec_cmp`	software	healthy	`theory_verification/superposition_min_e.py:125`
`cell_entropy_contrib`	software	healthy	`theory_verification/superposition_min_e.py:142`
`partition_entropy`	software	healthy	`theory_verification/superposition_min_e.py:154`
`switches`	software	healthy	`theory_verification/superposition_min_e.py:178`
`enumerate_skeletons`	software	healthy	`theory_verification/superposition_min_e.py:246`
`rec`	software	healthy	`theory_verification/superposition_min_e.py:249`
`canonical`	software	healthy	`theory_verification/superposition_min_e.py:273`
`bp_bound`	software	healthy	`theory_verification/superposition_min_e.py:299`
`gate`	software	healthy	`theory_verification/superposition_min_e.py:350`
`run_witness`	software	healthy	`theory_verification/superposition_min_e.py:357`
`w1`	software	dead	`theory_verification/superposition_min_e.py:370`
`w2`	software	dead	`theory_verification/superposition_min_e.py:379`
`w3`	software	dead	`theory_verification/superposition_min_e.py:390`
`monotone_type`	software	healthy	`theory_verification/superposition_min_e.py:444`
`interval`	software	healthy	`theory_verification/superposition_min_e.py:487`
`in_iv`	software	healthy	`theory_verification/superposition_min_e.py:491`
`ivs_can_equal`	software	healthy	`theory_verification/superposition_min_e.py:496`
`scaled`	software	healthy	`theory_verification/superposition_min_e.py:507`
`sample_eval`	software	healthy	`theory_verification/superposition_min_e.py:570`
`circ`	software	healthy	`theory_verification/superposition_min_e.py:614`
`h2`	software	healthy	`theory_verification/verify_xor_min_e.py:68`
`gate_cost`	software	healthy	`theory_verification/verify_xor_min_e.py:74`
`ltf_census`	software	healthy	`theory_verification/verify_xor_min_e.py:82`
`apply_table`	software	healthy	`theory_verification/verify_xor_min_e.py:113`
`achievable_functions`	software	healthy	`theory_verification/verify_xor_min_e.py:165`
`rec`	software	healthy	`theory_verification/verify_xor_min_e.py:175`
`witness`	software	healthy	`theory_verification/verify_xor_min_e.py:237`
`cond_entropy`	software	healthy	`theory_verification/verify_xor_min_e.py:273`
`width3`	software	healthy	`theory_verification/verify_xor_min_e.py:372`
`build_atoms`	software	healthy	`experiments/experiment2_ladder/readout_geometry_experiment.…`
`projection`	software	healthy	`experiments/experiment2_ladder/readout_geometry_experiment.…`
`min_pairwise_dist`	software	healthy	`experiments/experiment2_ladder/readout_geometry_experiment.…`
`sigmoid`	software	healthy	`experiments/experiment2_ladder/readout_geometry_experiment.…`
`linear_population_floor`	software	healthy	`experiments/experiment2_ladder/readout_geometry_experiment.…`
`loss`	software	healthy	`experiments/experiment2_ladder/readout_geometry_experiment.…`
`_mean_logloss_nats`	software	healthy	`experiments/experiment2_ladder/readout_geometry_experiment.…`
`fit_logistic_irls`	software	healthy	`experiments/experiment2_ladder/readout_geometry_experiment.…`
`eval_logistic`	software	healthy	`experiments/experiment2_ladder/readout_geometry_experiment.…`
`fit_two_layer`	software	healthy	`experiments/experiment2_ladder/readout_geometry_experiment.…`
`eval_two_layer`	software	healthy	`experiments/experiment2_ladder/readout_geometry_experiment.…`
`eval_nearest_atom`	software	healthy	`experiments/experiment2_ladder/readout_geometry_experiment.…`
`accounting`	software	healthy	`experiments/experiment2_ladder/readout_geometry_experiment.…`
`run_analytic`	software	healthy	`experiments/experiment2_ladder/readout_geometry_experiment.…`
`run_experiment`	software	healthy	`experiments/experiment2_ladder/readout_geometry_experiment.…`
`sigmoid`	software	healthy	`experiments/experiment1_gaussian/lawful_compression_experim…`
`generate`	software	healthy	`experiments/experiment1_gaussian/lawful_compression_experim…`

Showing first 50 of this kind. Full payload available via the JSON button at the top of the page.

Label	Layer	Status	Path
`README.md`	software	healthy	`README.md`
`LICENSE`	software	healthy	`LICENSE`
`superposition_min_e.py`	software	healthy	`theory_verification/superposition_min_e.py`
`README.md`	software	healthy	`theory_verification/README.md`
`verify_xor_min_e.py`	software	healthy	`theory_verification/verify_xor_min_e.py`
`readout_geometry_experiment.py`	software	healthy	`experiments/experiment2_ladder/readout_geometry_experiment.…`
`RESULTS.md`	software	healthy	`experiments/experiment2_ladder/RESULTS.md`
`README.md`	software	healthy	`experiments/experiment2_ladder/README.md`
`PREREGISTRATION.md`	software	healthy	`experiments/experiment2_ladder/PREREGISTRATION.md`
`analytic_predictions.json`	software	healthy	`experiments/experiment2_ladder/analytic_predictions.json`
`results_summary.json`	software	healthy	`experiments/experiment2_ladder/results_summary.json`
`lawful_compression_experiment.py`	software	healthy	`experiments/experiment1_gaussian/lawful_compression_experim…`
`RESULTS.md`	software	healthy	`experiments/experiment1_gaussian/RESULTS.md`
`README.md`	software	healthy	`experiments/experiment1_gaussian/README.md`
`PREREGISTRATION.md`	software	healthy	`experiments/experiment1_gaussian/PREREGISTRATION.md`
`analytic_predictions.json`	software	healthy	`experiments/experiment1_gaussian/analytic_predictions.json`
`results_summary.json`	software	healthy	`experiments/experiment1_gaussian/results_summary.json`
`analyze_masking.py`	software	healthy	`experiments/experiment3_cifar/analyze_masking.py`
`train_run.py`	software	healthy	`experiments/experiment3_cifar/train_run.py`
`results_rows.json`	software	healthy	`experiments/experiment3_cifar/results_rows.json`
`run_batch.sh`	software	healthy	`experiments/experiment3_cifar/run_batch.sh`
`RESULTS.md`	software	healthy	`experiments/experiment3_cifar/RESULTS.md`
`README.md`	software	healthy	`experiments/experiment3_cifar/README.md`
`PREREGISTRATION.md`	software	healthy	`experiments/experiment3_cifar/PREREGISTRATION.md`
`spurious_cifar.py`	software	healthy	`experiments/experiment3_cifar/spurious_cifar.py`
`machine_summary.json`	software	healthy	`experiments/experiment3_cifar/machine_summary.json`
`PRERUN_NOTE_2026-06-11.md`	software	healthy	`experiments/experiment3_cifar/PRERUN_NOTE_2026-06-11.md`
`results_summary.json`	software	healthy	`experiments/experiment3_cifar/results_summary.json`
`make_figures.py`	software	healthy	`paper/figures/make_figures.py`
`PROVENANCE.md`	software	healthy	`evidence/PROVENANCE.md`
`test_fourq.py`	software	healthy	`lib/test_fourq.py`
`fourq.py`	software	healthy	`lib/fourq.py`
`README.md`	software	healthy	`lib/README.md`

Label	Layer	Status	Path
`theory_verification`	software	healthy	`theory_verification`
`experiments`	software	healthy	`experiments`
`experiment2_ladder`	software	healthy	`experiments/experiment2_ladder`
`experiment1_gaussian`	software	healthy	`experiments/experiment1_gaussian`
`experiment3_cifar`	software	healthy	`experiments/experiment3_cifar`
`paper`	software	healthy	`paper`
`figures`	software	healthy	`paper/figures`
`evidence`	software	healthy	`evidence`
`lib`	software	healthy	`lib`

Label	Layer	Status	Path
`CNN9`	software	healthy	`experiments/experiment3_cifar/train_run.py:79`
`SpuriousConfig`	software	healthy	`experiments/experiment3_cifar/spurious_cifar.py:190`
`FittedReadout`	software	healthy	`lib/fourq.py:151`
`BatteryResult`	software	healthy	`lib/fourq.py:230`
`QuantityDeclarationError`	software	healthy	`lib/fourq.py:480`

Label	Layer	Status	Path
`curv-institute__price-of-readout`	software	healthy	`/data/fable5_failed_archive/curv-institute__price-of-readout`

Label	Layer	Status	Path
`gpu (detected)`	hardware	healthy	`README.md`

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curv-institute/price-of-readout

Complete repo analysis

function 50+

file 33

directory 9

class 5

repo 1

gpu 1