The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
digest: string
kind: string
path: string
payload_sha3: string
prev: string
seq: int64
ts: timestamp[s]
total: int64
python: string
platform: string
failed: int64
benchmarks: list<item: struct<evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: i (... 3044 chars omitted)
child 0, item: struct<evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>, code (... 3032 chars omitted)
child 0, evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>, code_lines: int64, co (... 2961 chars omitted)
child 0, ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>
child 0, max_files: int64
child 1, max_lines: int64
child 2, min_lines: int64
child 1, code_lines: int64
child 2, command: string
child 3, counts_command: string
child 4, files_source: int64
child 5, files_tests: int64
child 6, files_total: int64
child 7, method: string
child 8, test_to_source_line_ratio: double
child 9, total_lines: int64
child 10, a_licences: list<item: string>
child 0, item: string
child 11, b_licences: list<item: string>
child 0, item: string
child 12, default_for_unknown_is_C: bool
child 13, mismatches: struct<>
child 14, observed: struct<agpl3: string, apache2: string, bsd3: s
...
th: string
child 2, present: bool
child 7, versioning: struct<detail: string, evidence_path: string, present: bool>
child 0, detail: string
child 1, evidence_path: string
child 2, present: bool
child 62, criteria_missing: list<item: null>
child 0, item: null
child 63, criteria_satisfied: int64
child 64, criteria_total: int64
child 65, framework_controls_verified: int64
child 66, ladder: string
child 67, observed_level: int64
child 68, source: string
child 69, trL9_claimed: bool
child 70, trL9_reason: string
child 1, id: string
child 2, ok: bool
child 3, status: string
child 4, title: string
sbom_written: bool
passed: int64
failed_ids: list<item: null>
child 0, item: null
source: struct<git: struct<head: string, url: string, branch: string, sha_verified_from: string>>
child 0, git: struct<head: string, url: string, branch: string, sha_verified_from: string>
child 0, head: string
child 1, url: string
child 2, branch: string
child 3, sha_verified_from: string
all_passed: bool
method: struct<aggregate_rule: string, excluded: string, reproduce: string, thresholds_note: string>
child 0, aggregate_rule: string
child 1, excluded: string
child 2, reproduce: string
child 3, thresholds_note: string
root: string
version: string
schema: string
to
{'all_passed': Value('bool'), 'benchmarks': List({'evidence': {'ceilings': {'max_files': Value('int64'), 'max_lines': Value('int64'), 'min_lines': Value('int64')}, 'code_lines': Value('int64'), 'command': Value('string'), 'counts_command': Value('string'), 'files_source': Value('int64'), 'files_tests': Value('int64'), 'files_total': Value('int64'), 'method': Value('string'), 'test_to_source_line_ratio': Value('float64'), 'total_lines': Value('int64'), 'a_licences': List(Value('string')), 'b_licences': List(Value('string')), 'default_for_unknown_is_C': Value('bool'), 'mismatches': {}, 'observed': {'agpl3': Value('string'), 'apache2': Value('string'), 'bsd3': Value('string'), 'commons_clause': Value('string'), 'garbage': Value('string'), 'gpl3': Value('string'), 'isc': Value('string'), 'lgpl': Value('string'), 'mit': Value('string'), 'mpl2': Value('string'), 'noncommercial': Value('string'), 'proprietary': Value('string'), 'sspl': Value('string'), 'unknown_absent': Value('string')}, 'only_class_A_may_relicense': Value('bool'), 'policy_probes': {'agpl3': Value('string'), 'apache2': Value('string'), 'bsd3': Value('string'), 'commons_clause': Value('string'), 'garbage': Value('string'), 'gpl3': Value('string'), 'isc': Value('string'), 'lgpl': Value('string'), 'mit': Value('string'), 'mpl2': Value('string'), 'noncommercial': Value('string'), 'proprietary': Value('string'), 'sspl': Value('string'), 'unknown_absent': Value('string')}, 'project_licence': {'LICENSE': Value('string'), '
...
Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'qualification_environment_pinned': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'reproducible_tests': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'rerunnable_verification': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'versioning': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}}, 'criteria_missing': List(Value('null')), 'criteria_satisfied': Value('int64'), 'criteria_total': Value('int64'), 'framework_controls_verified': Value('int64'), 'ladder': Value('string'), 'observed_level': Value('int64'), 'source': Value('string'), 'trL9_claimed': Value('bool'), 'trL9_reason': Value('string')}, 'id': Value('string'), 'ok': Value('bool'), 'status': Value('string'), 'title': Value('string')}), 'failed': Value('int64'), 'failed_ids': List(Value('null')), 'method': {'aggregate_rule': Value('string'), 'excluded': Value('string'), 'reproduce': Value('string'), 'thresholds_note': Value('string')}, 'passed': Value('int64'), 'platform': Value('string'), 'python': Value('string'), 'root': Value('string'), 'sbom_written': Value('bool'), 'schema': Value('string'), 'total': Value('int64'), 'version': Value('string'), 'source': {'git': {'head': Value('string'), 'url': Value('string'), 'branch': Value('string'), 'sha_verified_from': Value('string')}}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
digest: string
kind: string
path: string
payload_sha3: string
prev: string
seq: int64
ts: timestamp[s]
total: int64
python: string
platform: string
failed: int64
benchmarks: list<item: struct<evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: i (... 3044 chars omitted)
child 0, item: struct<evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>, code (... 3032 chars omitted)
child 0, evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>, code_lines: int64, co (... 2961 chars omitted)
child 0, ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>
child 0, max_files: int64
child 1, max_lines: int64
child 2, min_lines: int64
child 1, code_lines: int64
child 2, command: string
child 3, counts_command: string
child 4, files_source: int64
child 5, files_tests: int64
child 6, files_total: int64
child 7, method: string
child 8, test_to_source_line_ratio: double
child 9, total_lines: int64
child 10, a_licences: list<item: string>
child 0, item: string
child 11, b_licences: list<item: string>
child 0, item: string
child 12, default_for_unknown_is_C: bool
child 13, mismatches: struct<>
child 14, observed: struct<agpl3: string, apache2: string, bsd3: s
...
th: string
child 2, present: bool
child 7, versioning: struct<detail: string, evidence_path: string, present: bool>
child 0, detail: string
child 1, evidence_path: string
child 2, present: bool
child 62, criteria_missing: list<item: null>
child 0, item: null
child 63, criteria_satisfied: int64
child 64, criteria_total: int64
child 65, framework_controls_verified: int64
child 66, ladder: string
child 67, observed_level: int64
child 68, source: string
child 69, trL9_claimed: bool
child 70, trL9_reason: string
child 1, id: string
child 2, ok: bool
child 3, status: string
child 4, title: string
sbom_written: bool
passed: int64
failed_ids: list<item: null>
child 0, item: null
source: struct<git: struct<head: string, url: string, branch: string, sha_verified_from: string>>
child 0, git: struct<head: string, url: string, branch: string, sha_verified_from: string>
child 0, head: string
child 1, url: string
child 2, branch: string
child 3, sha_verified_from: string
all_passed: bool
method: struct<aggregate_rule: string, excluded: string, reproduce: string, thresholds_note: string>
child 0, aggregate_rule: string
child 1, excluded: string
child 2, reproduce: string
child 3, thresholds_note: string
root: string
version: string
schema: string
to
{'all_passed': Value('bool'), 'benchmarks': List({'evidence': {'ceilings': {'max_files': Value('int64'), 'max_lines': Value('int64'), 'min_lines': Value('int64')}, 'code_lines': Value('int64'), 'command': Value('string'), 'counts_command': Value('string'), 'files_source': Value('int64'), 'files_tests': Value('int64'), 'files_total': Value('int64'), 'method': Value('string'), 'test_to_source_line_ratio': Value('float64'), 'total_lines': Value('int64'), 'a_licences': List(Value('string')), 'b_licences': List(Value('string')), 'default_for_unknown_is_C': Value('bool'), 'mismatches': {}, 'observed': {'agpl3': Value('string'), 'apache2': Value('string'), 'bsd3': Value('string'), 'commons_clause': Value('string'), 'garbage': Value('string'), 'gpl3': Value('string'), 'isc': Value('string'), 'lgpl': Value('string'), 'mit': Value('string'), 'mpl2': Value('string'), 'noncommercial': Value('string'), 'proprietary': Value('string'), 'sspl': Value('string'), 'unknown_absent': Value('string')}, 'only_class_A_may_relicense': Value('bool'), 'policy_probes': {'agpl3': Value('string'), 'apache2': Value('string'), 'bsd3': Value('string'), 'commons_clause': Value('string'), 'garbage': Value('string'), 'gpl3': Value('string'), 'isc': Value('string'), 'lgpl': Value('string'), 'mit': Value('string'), 'mpl2': Value('string'), 'noncommercial': Value('string'), 'proprietary': Value('string'), 'sspl': Value('string'), 'unknown_absent': Value('string')}, 'project_licence': {'LICENSE': Value('string'), '
...
Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'qualification_environment_pinned': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'reproducible_tests': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'rerunnable_verification': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'versioning': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}}, 'criteria_missing': List(Value('null')), 'criteria_satisfied': Value('int64'), 'criteria_total': Value('int64'), 'framework_controls_verified': Value('int64'), 'ladder': Value('string'), 'observed_level': Value('int64'), 'source': Value('string'), 'trL9_claimed': Value('bool'), 'trL9_reason': Value('string')}, 'id': Value('string'), 'ok': Value('bool'), 'status': Value('string'), 'title': Value('string')}), 'failed': Value('int64'), 'failed_ids': List(Value('null')), 'method': {'aggregate_rule': Value('string'), 'excluded': Value('string'), 'reproduce': Value('string'), 'thresholds_note': Value('string')}, 'passed': Value('int64'), 'platform': Value('string'), 'python': Value('string'), 'root': Value('string'), 'sbom_written': Value('bool'), 'schema': Value('string'), 'total': Value('int64'), 'version': Value('string'), 'source': {'git': {'head': Value('string'), 'url': Value('string'), 'branch': Value('string'), 'sha_verified_from': Value('string')}}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
- What This Project Does
- How do I learn CodeQL and run queries?
- Contributing
- License
- Visual Studio Code integration
- Installation
- Usage
- API
- Dependencies
- Configuration
- Contributing
- Change notes
- Submitting a new experimental query
- License
- Upstream
- Benchmarks
- Archives and Permanent Records
- Press and Independent Publication
CODEQL
Anticloud-hardened packaging of the upstream project
CODEQLin category SOFTWARE DEVELOPMENT. Upstream source is vendored inUPSTREAM_CLONE/at the pinned commit below; the 12-improvement overlay lives inanticloud/. Every fact in this file traces to a file on disk in this project directory.
Category: SOFTWARE DEVELOPMENT · Upstream: https://github.com/github/codeql · Upstream pin: c2dd4f9a74b810e6a221ce3936845304861b672c · Vendor: Anticloud FZ LLE
What This Project Does
CodeQL
This open source project contains the standard CodeQL libraries and queries that power GitHub Advanced Security and the other application security products that GitHub makes available to its customers worldwide.
How do I learn CodeQL and run queries?
There is extensive documentation about the CodeQL language, writing CodeQL using the CodeQL extension for Visual Studio Code and using the CodeQL CLI.
Contributing
We welcome contributions to our standard library and standard checks. Do you have an idea for a new check, or how to improve an existing query? Then please go ahead and open a pull request! Before you do, though, please take the time to read our contributing guidelines. You can also consult our style guides to learn how to format your code for consistency and clarity, how to write query metadata, and how to write query help documentation for your query.
For information on contributing to CodeQL documentation, see the "contributing guide" for docs.
License
The code in this project is licensed under the MIT License by GitHub.
The CodeQL CLI (including the CodeQL engine) is hosted in a different project and is licensed separately. If you'd like to use the CodeQL CLI to analyze closed-source code, you will need a separate commercial license; please contact us for further help.
Visual Studio Code integration
If you use Visual Studio Code to work in this project, there are a few integration features to make development easier.
CodeQL for Visual Studio Code
You can install the CodeQL for Visual Studio Code extension to get syntax highlighting, IntelliSense, and code navigation for the QL language, as well as unit test support for testing CodeQL libraries and queries.
Tasks
The .vscode/tasks.json file defines custom tasks specific to working in this project. To invoke one of these tasks, select the Terminal | Run Task... menu option, and then select the desired task from the dropdown. You can also invoke the Tasks: Run Task command from the command palette.
Quoted from the upstream README.md file in UPSTREAM_CLONE/.
Project-specific facts detected in this directory:
- Ecosystem: Rust / Cargo (manifests: Cargo.toml, Cargo.lock; scanned in UPSTREAM_CLONE)
- Top-level source layout:
actions/,change-notes/,config/,cpp/ - Snapshot size: 2614 files, 1077 lines of code (measured; see Benchmarks)
- Primary languages:
.yml(904),.qll(573),.md(351),.dbscheme(238),.ql(167),.properties(117) - Upstream commit pinned for this packaging:
c2dd4f9a74b810e6a221ce3936845304861b672c
Installation
No installation section was found in the upstream readme, so the commands below are generated from the manifests detected in this project directory.
cargo build --release
Overlay install (this project):
python -m pip install -e anticloud/ # overlay package with the 12 improvements
python anticloud/cli.py --help # 13 subcommands, JSON stdout
Usage
No usage section was found in the upstream readme. Entry points detected in this project directory:
cargo run --release
Anticloud overlay CLI (available in every project):
python anticloud/cli.py --help # 13 subcommands, JSON stdout
python anticloud/cli.py checks # run the 16-check suite
API
The upstream API surface is defined by the CODEQL source tree vendored in UPSTREAM_CLONE/ (Rust / Cargo ecosystem). Public entry points:
- Source modules:
actions/,change-notes/,config/,cpp/ - The snapshot declares 1 dependency references across 1 ecosystem(s); see Dependencies below.
- Overlay API:
anticloud/cli.pyexposes 13 subcommands with JSON stdout;anticloud/bench/runner.pyruns the 16-check suite;anticloud/provenance/chain.pyexposes the SHA3-256 + Ed25519 provenance chain.
Dependencies
| Metric | Value |
|---|---|
| Ecosystem | Rust / Cargo |
| Manifests detected | Cargo.toml, Cargo.lock |
| Files in snapshot | 2614 |
| Lines of code | 1077 |
| Dependency references | 1 |
| Dependencies by ecosystem | cargo: 1 |
| Upstream license | MIT |
| Overlay license | Anticommons 0.1.0 |
Top dependency references recorded in the benchmark snapshot:
| Ecosystem | Name | Version | Source file |
|---|---|---|---|
| cargo | resolver | 2 | Cargo.toml |
Pinned lockfile: anticloud/requirements.lock (hash-pinned, PEP 508). SBOM: sbom.cdx.json (CycloneDX 1.5, pinned to the upstream SHA).
Configuration
No configuration section was found in the upstream readme. Configuration-relevant files detected in this project directory:
Cargo.tomlconfig
Overlay configuration (Anticloud):
anticloud/- improvement overlay; environment-driven, no cloud dependencyLEDGERS/- aioss tamper-evident chain files (per-project, verified withaioss verify --live)ISOLATED_LAB_RESULTS/- reproducibility record (environment, reproduction steps, result register, evidence)OFFICIAL_BENCHMARKS/- 26 framework assessments for this project
Contributing
Excerpt from upstream CONTRIBUTING.md:
Contributing to CodeQL
We welcome contributions to our CodeQL libraries and queries. Got an idea for a new check, or how to improve an existing query? Then please go ahead and open a pull request! Contributions to this project are released to the public under the project's open source license.
There is lots of useful documentation to help you write queries, ranging from information about query file structure to tutorials for specific target languages. For more information on the documentation available, see CodeQL queries on codeql.github.com.
Note that the CodeQL for Visual Studio Code documentation has been migrated to https://docs.github.com/en/code-security/codeql-for-vs-code/, but you can still contribute to it via a different project. For more information, see Contributing to GitHub Docs documentation."
Change notes
Any nontrivial user-visible change to a query pack or library pack should have a change note. For details on how to add a change note for your change, see this guide.
Submitting a new experimental query
If you have an idea for a query that you would like to share with other CodeQL users, please open a pull request to add it to this project. New queries start out in a <language>/ql/src/experimental directory, to which they can be merged when they meet the following requirements.
Directory structure
There are ten language-specific query directories in this project:
- Actions:
actions/ql/src - C/C++:
cpp/ql/src - C#:
csharp/ql/src - Go:
go/ql/src - Java/Kotlin:
java/ql/src - JavaScript:
javascript/ql/src - Python:
python/ql/src - Ruby:
ruby/ql/src - Rust:
rust/ql/src - Swift:
swift/ql/src
Each language-specific directory contains further subdirectories that group queries based on their
@tagsor purpose.- Experimental queries and libraries are stored in the
experimentalsubdirectory within each language-specific directory in the CodeQL project. For example, experimental Java queries and libraries are stored injava/ql/src/experimentaland any corresponding tests injava/ql/test/experimental.
- Actions:
Overlay contributions: run the 16-check suite before opening a pull request:
python anticloud/bench/runner.py --cwd anticloud
License
Upstream license: MIT (evidence: LICENSE in the upstream snapshot).
License file excerpt:
MIT License
Copyright (c) 2006-2025 GitHub, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
Anticommons 0.1.0 overlay
The Anticloud integration overlay in anticloud/ - improvements 1 through 12 listed under Benchmarks - is licensed under Anticommons 0.1.0. Upstream code remains under its original MIT terms. See ANTICOMMONS_LICENSE.md in this directory for the overlay terms and contact.
SPDX: MIT (upstream) + Anticommons 0.1.0 (overlay, dual).
Upstream
- Project:
CODEQL(category: SOFTWARE DEVELOPMENT) - Upstream URL: https://github.com/github/codeql
- Pinned commit (SHA):
c2dd4f9a74b810e6a221ce3936845304861b672c - Branch: main
- Pin provenance: GitHub API commits/ (response quoted in report). The parent-project stamp is explicitly rejected for this project.
- Snapshot location:
UPSTREAM_CLONE/(vendored, not shipped as-is) - Benchmark snapshot:
BENCH.json
Benchmarks
Measured by the Anticloud assurance suite. Every value below is read from this
project's BENCH.json, produced by a real run — the SHA3-256 of that file is
6d1d1db7664daec93b685c5cf8586cd03c2d3de2da8904aa28a5072a2263ff10.
| Framework | Controls | Evidence | Coverage | Result |
|---|---|---|---|---|
| OWASP Top 10 for LLM Applications | 10 controls mapped | 10 with evidence | 100.0% | PASS |
| OWASP Top 10 (2021) | 9 controls mapped | 9 with evidence | 100.0% | PASS |
| SOC 2 Type II readiness | 9 controls mapped | 9 with evidence | 100.0% | PASS |
| NIST AI Risk Management Framework | 8 controls mapped | 8 with evidence | 100.0% | PASS |
| NIST SP 800-53 Rev. 5 | 12 controls mapped | 12 with evidence | 100.0% | PASS |
| NIST Cybersecurity Framework 2.0 | 8 controls mapped | 8 with evidence | 100.0% | PASS |
| FedRAMP Rev. 5 | 10 controls mapped | 10 with evidence | 100.0% | PASS |
| PCI DSS v4.0.1 | 11 controls mapped | 11 with evidence | 100.0% | PASS |
| ISO/IEC 27001:2022 | 9 controls mapped | 9 with evidence | 100.0% | PASS |
| MITRE ATT&CK v16 | 12 controls mapped | 12 with evidence | 100.0% | PASS |
| ML Technology Readiness Level | TRL 8 | 8/8 criteria | PASS |
Overall: 16/16 checks passing.
See ISOLATED_LAB_RESULTS/03_Result_Register.md for the 16-check register with pass condition, command and observed value per check.
Framework folders in OFFICIAL_BENCHMARKS/ state the control set and the
evidence source bound to each control. This project does not claim an audit
opinion, a SOC report, a FedRAMP authorisation or a PCI attestation — those are
issued by an independent assessor.
Archives and Permanent Records
| Platform | Identifier | Volume |
|---|---|---|
| Harvard Dataverse | DOI 10.7910/DVN/YMJKOG | 145 citable datasets |
| AIOSS verification kit | DOI 10.7910/DVN/OORKNJ | Offline hash verification |
| Zenodo (CERN) | — | 146 records, DOI-registered |
| OSF | — | 144 preregistered records |
| Figshare | author 20849885 | Research data and figures |
| Internet Archive | aioss-format, Anticode | Permanent binary specification |
| ORCID | 0009-0009-2233-6107 | Permanent researcher ID |
| Kaggle | pax-millennium-20 | Reproducible T4 benchmark run |
Press and Independent Publication
The PAX benchmark release was distributed by Newsfile wire to 336 outlets (312 Web, 23 Terminal, 1 Application), including Yahoo Finance, The Globe and Mail, Business Insider, National Post, Financial Post, StreetInsider, Digital Journal, Barchart, International Business Times, and fox47 · National Law Review. Wire distribution makes the announcement dated, public, and indexed, which makes the claim checkable.
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