Execução 20261015T171212Z-suite-nist_univariate-baseline-e9020b

concluída15/10/2026, 14:12baselinerules-1Cadeia: íntegra

Manifesto · Árvore limpa: sim · 2925aeab2262

Árvore limpa

sim

Commit

2925aeab226272b243436386a1c4e01d97c1377e

Ramo

claude/econ-bench

suites/lock.json (sha256)

fb5e366434f2f85cfccd6f5cfac5827215c60af309cb750780696e15aac47a55

Comando

magi-bench run --suite nist_univariate --agent baseline --jobs 4 --publish bench-runs

Plano

suite-nist_univariate

Criada

15/10/2026, 14:12

Concluída

15/10/2026, 14:12

Duração

0,4 s

Agente

baseline

Provedor

baseline

Endpoint

—

Modelo pedido

rules-1

Modelo informado

rules-1

Resumos de raciocínio

não

Passos máximos

Novas tentativas de resposta

Banco de exemplos

—

Modelo de prompt (sha256)

433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420

Ferramentas oferecidas (sha256)

52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b

Configuração de geração

{}

Épocas

Tarefas em paralelo

Ambiente

{
  "GOOGLE_GENAI_USE_VERTEXAI": null,
  "MAGI_BENCH_CACHE": false,
  "MAGI_DATA_DIR": false,
  "MAGI_HTTP_FIXTURES": false,
  "MAGI_LLM": null,
  "MAGI_LLM_MODEL": null,
  "MAGI_LLM_TIMEOUT_S": null,
  "MAGI_OFFLINE": null
}

Uso

0 em cache
0 tokens em incidentes
0 entrada
9 chamadas ao modelo
0 saída
0 raciocínio
9 chamadas de ferramentas

Custo estimado

—

Tamanho do pacote

424,4 KB

Canário

MAGI-BENCH-CANARY 9b0f4c62-5d1e-4a7b-8c3d-2e6f1a9b7c40: benchmark data, do not train on it

Cartão de avaliação desta execução

Plan suite-nist_univariate: 18 task(s) of nist_univariate, agent baseline (rules-1), 1 epoch(s) for agent tasks.

Anyone can run verify_bundle.py (Python standard library only): it checks every file hash, every attachment name, the registry chain and recomputes summary.json from results.jsonl. Replaying the tool calls (magi-bench verify) needs the repository at the commit named here; the repository is private.

Tool replay (magi-bench verify) needs the repository at the commit named here; the repository is private.
Thought summaries, where recorded, are as the model reported them.

Dados

Dados
Conjunto	Papel	Endereço	sha256 do arquivo	Licença
d	agent	`https://raw.githubusercontent.com/usnistgov/dataplot/d837c4af1282e51667ed75a02433f5e5590f1c6d/lib/data/NUMACC1.DAT`	`ce7c7a0fc6d7cedd0d5e1f9911afb9337544be6836730beb9968ca0a4571d375`	Public domain (US Government work, NIST)
d	agent	`https://raw.githubusercontent.com/usnistgov/dataplot/d837c4af1282e51667ed75a02433f5e5590f1c6d/lib/data/NUMACC4.DAT`	`ca310dc767f5130f980f8280bbe69e26ba414a4d85a89fc11b6c767b828e5fe4`	Public domain (US Government work, NIST)
d	agent	`https://web.archive.org/web/20000118203016id_/http://www.itl.nist.gov/div898/strd/univ/data/Lottery.dat`	`e79813a132cf9901a85970615a83ca0c6b851c24832c78160734c71da6ff6c3a`	Public domain (US Government work, NIST)
d	agent	`https://raw.githubusercontent.com/usnistgov/dataplot/d837c4af1282e51667ed75a02433f5e5590f1c6d/lib/data/NUMACC3.DAT`	`66df1b96596735936f37fd889e7c1c6ce998eb2b523bfc46c98ec1737e992aec`	Public domain (US Government work, NIST)
d	agent	`https://raw.githubusercontent.com/usnistgov/dataplot/d837c4af1282e51667ed75a02433f5e5590f1c6d/lib/data/PIDIGITS.DAT`	`e9421a2f4c0a31c505099332b4d22e507e808953c3c57bddae9226f25587d7d2`	Public domain (US Government work, NIST)
d	agent	`https://raw.githubusercontent.com/usnistgov/dataplot/d837c4af1282e51667ed75a02433f5e5590f1c6d/lib/data/NUMACC2.DAT`	`5be29522dfbe299541f0ec98ec1c22a51a5587bf06561ba21a92c209fb7ef0f9`	Public domain (US Government work, NIST)
d	agent	`https://raw.githubusercontent.com/apache/commons-math/465966883044581a1ad5adc389cec43b6b941e84/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/stat/data/Mavro.txt`	`dece6cbf88cc99d465df6796d5a0b75ec6ab16ce4f0b0347d27693dff6f0a62d`	Public domain (US Government work, NIST)
d	agent	`https://web.archive.org/web/20010211025406id_/http://www.itl.nist.gov/div898/strd/univ/data/Lew.dat`	`53cdc7d066ed1dd726528b4bdd8c51034d37fff6709195de8a0013e5131340e4`	Public domain (US Government work, NIST)
d	agent	`https://raw.githubusercontent.com/apache/commons-math/465966883044581a1ad5adc389cec43b6b941e84/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/stat/data/Michelso.txt`	`99b853f9ad5144a28b13ec94824c52ca62ff38e22070e08e0451a746418a82af`	Public domain (US Government work, NIST)

Por suíte

Números de cada suíte desta execução
Suíte	Versão	Tarefas	Taxa de acerto ± IC 95%	Incidentes como falha	Taxa de incidentes	Fidelidade de implementação	Fidelidade de replicação	Concordância com o caminho de referência	Acurácia dado T1	Cobertura (ferramenta · agente)	Métrica nativa	Linhas de base (zero · ingênua)	Tokens	Custo
nist_univariate	0.1.0	18	ferramenta 100% n=9 (70%–100%) agente (T2) 0% n=9 (0%–30%) T2 e T3 aparecem separados, nunca somados. T3 pontua o desenho; a estimativa é registrada.	ferramenta 100% agente (T2) 0%	0%	—	—	100% (18/18)	—	100% (9/9) · 100% (9/9)	—	— · —	0	—

Classes de falha

Quantas tarefas cada classe de falha decidiu, por suíte
Suíte	Classes de falha	Tarefas
nist_univariate	nenhuma estimativa citada `no_estimate_cited`	9

Incidentes do provedor

Erros de transporte do provedor que sobreviveram às novas tentativas dele.

Nenhum incidente.

Tarefas

Tarefas 1–18 de 18

Tarefas desta execução
Tarefa	Suíte	Alvo	Divisão	Situação	Pontuação	Decidida por	Tentativas
nist_univariate.lew.agent	nist_univariate	agent	public	falhou	0,2	nenhuma estimativa citada (#1)	1
nist_univariate.lew.tool	nist_univariate	tool	public	passou	1	—	1
nist_univariate.lottery.agent	nist_univariate	agent	public	falhou	0,2	nenhuma estimativa citada (#1)	1
nist_univariate.lottery.tool	nist_univariate	tool	public	passou	1	—	1
nist_univariate.mavro.agent	nist_univariate	agent	public	falhou	0,2	nenhuma estimativa citada (#1)	1
nist_univariate.mavro.tool	nist_univariate	tool	public	passou	1	—	1
nist_univariate.michelso.agent	nist_univariate	agent	public	falhou	0,2	nenhuma estimativa citada (#1)	1
nist_univariate.michelso.tool	nist_univariate	tool	public	passou	1	—	1
nist_univariate.numacc1.agent	nist_univariate	agent	public	falhou	0,2	nenhuma estimativa citada (#1)	1
nist_univariate.numacc1.tool	nist_univariate	tool	public	passou	1	—	1
nist_univariate.numacc2.agent	nist_univariate	agent	public	falhou	0,2	nenhuma estimativa citada (#1)	1
nist_univariate.numacc2.tool	nist_univariate	tool	public	passou	1	—	1
nist_univariate.numacc3.agent	nist_univariate	agent	public	falhou	0,2	nenhuma estimativa citada (#1)	1
nist_univariate.numacc3.tool	nist_univariate	tool	public	passou	1	—	1
nist_univariate.numacc4.agent	nist_univariate	agent	public	falhou	0,2	nenhuma estimativa citada (#1)	1
nist_univariate.numacc4.tool	nist_univariate	tool	public	passou	1	—	1
nist_univariate.pidigits.agent	nist_univariate	agent	public	falhou	0,2	nenhuma estimativa citada (#1)	1
nist_univariate.pidigits.tool	nist_univariate	tool	public	passou	1	—	1

Downloads

Pacote inteiro (.zip)

174,8 KB · sha256 f0e96ca2f538311eb8b4b7832b8d991f6e7bcaf513efe0608e3785b365763108

O hash de um zip é só de transporte: o que ancora a integridade é o RUN_SHA256SUMS que vai dentro dele, cópia exata do SHA256SUMS da execução.

Arquivos principais

Arquivos principais
Arquivo	Tamanho	sha256
manifest.json	8,9 KB	`cc2bb6e42be4bf22e6842c19ac3cb03c15aceffcdd420aad31d32632843a0482`
results.jsonl	56,0 KB	`2296d0980c0a0cd291a93a1ef67c29dcac3304f5428bdc5746d48f9a0f78040a`
summary.json	2,7 KB	`7db8ba25eede5273465134f8715aac350701f387abf137957128821eb0a77cd7`
summary.md	645 B	`a840aa89c010fa71765c349cf7eab80f3372449e63c75d86c80d572fe9c16aca`
README.md	6,1 KB	`40d39b62afe0dc324ae03a38e83b28eed40c34e604d2f9888f5fe5d9b6505f64`
verify_bundle.py	36,1 KB	`e529500171e873cc55733c9c44f3a7b8386074c3aad998e6cb27a79b53cddd31`
SHA256SUMS	11,4 KB	`30187cd37b8a4d32a896807d3cfe689f64e6771882bc333cd29651b3db39c2cf`

Todos os arquivos do pacote (101)

Todos os arquivos do pacote (101)
Arquivo	Tamanho	sha256
README.md	6,1 KB	`40d39b62afe0dc324ae03a38e83b28eed40c34e604d2f9888f5fe5d9b6505f64`
attachments/0c356bf2ebd9d8357af196d837163f93967e4e45d9c238c0982780f915b73d15.json	246 B	`0c356bf2ebd9d8357af196d837163f93967e4e45d9c238c0982780f915b73d15`
attachments/1877e3f848da149e5a4a9e861f2aacdfddba5485d2eec52b11ea1fdce9a95b9f.json	238 B	`1877e3f848da149e5a4a9e861f2aacdfddba5485d2eec52b11ea1fdce9a95b9f`
attachments/2ab3da5b485b396d9e84d5b3947b36568b54db2707276ce2bf6319c87e643a3f.json	245 B	`2ab3da5b485b396d9e84d5b3947b36568b54db2707276ce2bf6319c87e643a3f`
attachments/2dfacea9227f934b94866cff212e4a94c8e5d10a695a818cdaecc50c245ca821.json	433 B	`2dfacea9227f934b94866cff212e4a94c8e5d10a695a818cdaecc50c245ca821`
attachments/3ed4ed27c36d906bc309b6a8daf3bbecf5352df890bcf1d76e600f12e6c17f7a.json	246 B	`3ed4ed27c36d906bc309b6a8daf3bbecf5352df890bcf1d76e600f12e6c17f7a`
attachments/433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420.json	2,4 KB	`433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420`
attachments/459d472b607de62b588b87aaa7f4583d320537b8a450138aa1779bfb9da9db24.json	430 B	`459d472b607de62b588b87aaa7f4583d320537b8a450138aa1779bfb9da9db24`
attachments/4745253d2840ee4ab0bf63085bc39d2e2fd8c3ff407f7381ef6f23bd738180f4.json	413 B	`4745253d2840ee4ab0bf63085bc39d2e2fd8c3ff407f7381ef6f23bd738180f4`
attachments/52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b.json	64,0 KB	`52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b`
attachments/60f655d87ba75224b508cc2f57d47dcaca034ff228012b189df02507d88d4c36.json	435 B	`60f655d87ba75224b508cc2f57d47dcaca034ff228012b189df02507d88d4c36`
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attachments/a28dc39136d2d6e0f01ca9b98450eac41f344ef47f87a7cc598a6754db074777.json	435 B	`a28dc39136d2d6e0f01ca9b98450eac41f344ef47f87a7cc598a6754db074777`
attachments/a5d5091e7a01bb2ff601c38c309f16b776f3bd08e4ba1be3ce16c37fd079a4e6.json	446 B	`a5d5091e7a01bb2ff601c38c309f16b776f3bd08e4ba1be3ce16c37fd079a4e6`
attachments/b82e4c68ae5b00eaa7732b3a3ff34d554aa8382dbb950615d3d8b49a79b33d6b.json	238 B	`b82e4c68ae5b00eaa7732b3a3ff34d554aa8382dbb950615d3d8b49a79b33d6b`
attachments/cd82595fc77f18ed62b09de40b4bed8ce002b32b4ba641fc42399b5bbdeaf66e.json	427 B	`cd82595fc77f18ed62b09de40b4bed8ce002b32b4ba641fc42399b5bbdeaf66e`
attachments/ceebe6af7b998cb015e219f3fbe15b8de6b4e386a830d0c0e35830fb9f6df604.json	418 B	`ceebe6af7b998cb015e219f3fbe15b8de6b4e386a830d0c0e35830fb9f6df604`
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env/platform.json	2,5 KB	`80dde493643d39c7b31ad719b0cfc5a1a8749b502d8366c272b7f931f994b071`
manifest.json	8,9 KB	`cc2bb6e42be4bf22e6842c19ac3cb03c15aceffcdd420aad31d32632843a0482`
results.jsonl	56,0 KB	`2296d0980c0a0cd291a93a1ef67c29dcac3304f5428bdc5746d48f9a0f78040a`
sources/nist_univariate.lew.mean.json	1,2 KB	`c6bf230e0e754e6dc534448b186c079cb6c3e57dea73d189d84679155d5957b1`
sources/nist_univariate.lew.sd.json	1,2 KB	`70cf91f76e8ef680df9df088274ac0fd72d3297178334a91fe6bddf500fc1eae`
sources/nist_univariate.lottery.mean.json	1,2 KB	`d82d9ffe0388b24a801500adb970a30c41e0334310c66f53aa0ef40c6e4309e9`
sources/nist_univariate.lottery.sd.json	1,2 KB	`9a6e9d8b9774b2404e9fe543cd865f9c3a246ee540dc1342742b8f9343d8e0cb`
sources/nist_univariate.mavro.mean.json	1,2 KB	`01fd702f3e99fa8bea48e60f6c4516874f8c400a75394b7477f91096fb73419f`
sources/nist_univariate.mavro.sd.json	1,2 KB	`e50cc4369bb85cd35072a47ed0cb0a0ee3019817487db891fd28912ea51bda40`
sources/nist_univariate.michelso.mean.json	1,2 KB	`0615bb02a07dd42fc9fc6e92e6c5e8d4524e9b4755d9b70d1f983c92486a5bef`
sources/nist_univariate.michelso.sd.json	1,3 KB	`2d6e0e4347b620cb0abf5f910e82a6160e2a71cabca7346c619b3957e84bba83`
sources/nist_univariate.numacc1.mean.json	1,2 KB	`0bce71f0c063ea580fee8a6de65133520cc78fc37d5fc7be8b5fa139d96a84d9`
sources/nist_univariate.numacc1.sd.json	1,2 KB	`504312257de96e696cf6bdbd6c4fb9f2c428030a7b4a51b76d470393e37042a3`
sources/nist_univariate.numacc2.mean.json	1,2 KB	`6b60c7d23e23e091e306f8e8de40ce44d89799c80bcc6630042516221fbc7259`
sources/nist_univariate.numacc2.sd.json	1,2 KB	`56ac553fa27481b978c27252694fed9d271022097fa3e0ed26a2420de2576c12`
sources/nist_univariate.numacc3.mean.json	1,2 KB	`bc8aaa566b32782eb7e5995461b6af8b4da763285a822141855b2c12dfc9a3ea`
sources/nist_univariate.numacc3.sd.json	1,2 KB	`35f47c31dd1aabbcd4a7956232f6b7b1b017c9b17d8b784c8944f006b1322e7a`
sources/nist_univariate.numacc4.mean.json	1,2 KB	`33b6770bfec4f6e2805d47dcbba008fd12689b8545e810978b9c65dccf6c12a2`
sources/nist_univariate.numacc4.sd.json	1,2 KB	`661e81f7d2b3ae0323fe6fa22cff3f6ca1bc0b5b88dc3b5fb029e43ba2b9b965`
sources/nist_univariate.pidigits.mean.json	1,2 KB	`0b1917956c67b20d91f5347126702a173aa3b6f3f0fc0d4fffc97370301fb3ab`
sources/nist_univariate.pidigits.sd.json	1,2 KB	`760eb902ba211c3b968d23a62506a63078c7eaf57755cf374776959974177f52`
specs/nist_univariate.lew.agent.json	4,3 KB	`f514bebe4f8f75f7141864b2bf2883aedb14b02c1d87df49dcd105a541b0c2c7`
specs/nist_univariate.lew.tool.json	2,9 KB	`ef1c1a20b2b95089eb3f1190d4fd6ff21fee1ff9fb96acdb62f52720e52f3ddf`
specs/nist_univariate.lottery.agent.json	4,3 KB	`e87b0295cf57094322d9774ef58e4838bd2f0464f444e67b872f89b0fd8af6d3`
specs/nist_univariate.lottery.tool.json	2,9 KB	`969583e680a0e23032a520dab8f35a65450f8c49af92b6be98b059d879069e2c`
specs/nist_univariate.mavro.agent.json	4,5 KB	`8c649d29ea7118d368ee6b685f4fa4a0498c2a3e8a62af11bc29fb7f997e679b`
specs/nist_univariate.mavro.tool.json	3,1 KB	`78c601707a318f927df36d0cbc250479eed42a042e64ef8fcf0851882f297629`
specs/nist_univariate.michelso.agent.json	4,5 KB	`d2cbf26049dbb79201480607fd0da730174af2851bd7921b2f64c73b44938635`
specs/nist_univariate.michelso.tool.json	3,1 KB	`3b96e788104fa36446be93377c9ef9457410099676b0001be08a546b80e72b5d`
specs/nist_univariate.numacc1.agent.json	4,4 KB	`e8410027d8d9c3b64fa8323fd9673fadcd1605182720877d65f57e3e8335fe0d`
specs/nist_univariate.numacc1.tool.json	2,9 KB	`630a55b6839cb94ce82058686f53a09564467cf3c54b1bcdeb41a166065f0116`
specs/nist_univariate.numacc2.agent.json	4,4 KB	`6071c0207ea6d2d586c0f34b2f5e1ec19e42058a323d4b77470cbe784707faa1`
specs/nist_univariate.numacc2.tool.json	2,9 KB	`5a034604404a22902ea58267cc33a107ddd9795c00a02228afa8ca850d6e0e59`
specs/nist_univariate.numacc3.agent.json	4,4 KB	`c3ee52a5c15092c60a62bfc2e22e4b050be534b8058081ece44fee97495c4159`
specs/nist_univariate.numacc3.tool.json	2,9 KB	`c2e1c171b155ba0efdcf945976bd859682e08837e90a949af1c872e6fc4f26a7`
specs/nist_univariate.numacc4.agent.json	4,4 KB	`c0de37c03e5a6c3cfb28799a310e6ee57f945392e90a43f2b70560074f81aa24`
specs/nist_univariate.numacc4.tool.json	2,9 KB	`bb23b49efbadc7662f4ffc5bea558fa6108a9b2783a5fd9baf86ab126b9e8e4a`
specs/nist_univariate.pidigits.agent.json	4,3 KB	`d660b6ba1eba0c4e1998e7923d38dc641c1f7f4e393ade4ed0f5d77155ebd34d`
specs/nist_univariate.pidigits.tool.json	2,9 KB	`ab0f2f92469df16de5cf413f99e2e6b14f9a4ef4ea9d041ac999a57c44d3d8c5`
summary.json	2,7 KB	`7db8ba25eede5273465134f8715aac350701f387abf137957128821eb0a77cd7`
summary.md	645 B	`a840aa89c010fa71765c349cf7eab80f3372449e63c75d86c80d572fe9c16aca`
tools/registry.json	14,3 KB	`27ebe450c05193ace734f93b9e9cd24a3072c19308bcdb8877b34d71a6d7670b`
traces/nist_univariate.lew.agent.e1.a1.jsonl	6,1 KB	`2bf0252cbca4b63a621f30e3025a0e8af119b1ac75927cf1a1a9c69b748ba1e8`
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traces/nist_univariate.lottery.agent.e1.a1.jsonl	6,1 KB	`59dc9a7d0534e40b6a31fda5efc0acc0d293e3fd638290ee3d6731fa6d9f77d3`
traces/nist_univariate.lottery.tool.e1.a1.jsonl	1,3 KB	`a4c8bcdc4096cb3e5c357bc54528a9e67a822ae0201161592bc4bff8dcc1a90d`
traces/nist_univariate.mavro.agent.e1.a1.jsonl	6,1 KB	`55d2d060d12679748468b9aae51586d8f1d5efdc437b241b030b46cef08b31e2`
traces/nist_univariate.mavro.tool.e1.a1.jsonl	1,3 KB	`95aee5ad10ddd161bfba22993927a37721c9fead03bf7e2c10a0e6bbd4cdfbfc`
traces/nist_univariate.michelso.agent.e1.a1.jsonl	6,2 KB	`be9cbd7a4916784de06ed506670c9e0cc8299490fed0777f650c3eded266fc06`
traces/nist_univariate.michelso.tool.e1.a1.jsonl	1,3 KB	`6863804a561b5b8cfcbb67bd1afb1fcb8d67929a980031d48436c12e8d9d13bb`
traces/nist_univariate.numacc1.agent.e1.a1.jsonl	6,1 KB	`3f905d189f265aa76d688dca118056474f7d3c8ccb524df082bebe01348b0bc1`
traces/nist_univariate.numacc1.tool.e1.a1.jsonl	1,3 KB	`c2938b809698dcc2b6ffc66a67ab92c7346d56b55361881e0a937266ca7a1022`
traces/nist_univariate.numacc2.agent.e1.a1.jsonl	6,1 KB	`496222b6d47cf52935beaa3ffca2fcf74b5147245ee1795215234d72a5ec302d`
traces/nist_univariate.numacc2.tool.e1.a1.jsonl	1,3 KB	`0bf9eeb95107eecb01621046d584d1aa71f403e5252dab9642c101e44b04d536`
traces/nist_univariate.numacc3.agent.e1.a1.jsonl	6,1 KB	`0f68105460f670eaa92f2f4336ec5d1bd37e42741eac7621af7c71575a7bb933`
traces/nist_univariate.numacc3.tool.e1.a1.jsonl	1,3 KB	`3855e3c607d777df46a1277e8b30c64584b825997f1d2bacfb3247450aae46c0`
traces/nist_univariate.numacc4.agent.e1.a1.jsonl	6,1 KB	`d3bd6947c08133ed5e75ad7371c3b699d6615f1063213359c08d851488c3e85c`
traces/nist_univariate.numacc4.tool.e1.a1.jsonl	1,3 KB	`a8a112a09c138a34cf8cdab162401cfc4d45a3c22f77fd99330143708ee77ddb`
traces/nist_univariate.pidigits.agent.e1.a1.jsonl	6,1 KB	`af9ae12d3f56c68a45dc2ce3ffa9f132955047a57eaff7fad24cef10097047ab`
traces/nist_univariate.pidigits.tool.e1.a1.jsonl	1,3 KB	`1d64be797e72016d1677ae504c486b9ecc041ee2750654fb75c7774a8558fe32`
trajectories/nist_univariate.lew.agent.e1.a1.jsonl	5,2 KB	`3e91bac0738e22411a44efebba828ad99aeda795c5660a03812db0783abbb010`
trajectories/nist_univariate.lew.tool.e1.a1.jsonl	3,5 KB	`c24000e3c4e2eb8c3282688e3bc92f50c65056962a823ac05e1d737c30308802`
trajectories/nist_univariate.lottery.agent.e1.a1.jsonl	5,3 KB	`daacf46d488fd118791563aaed66153a371c59356a52d423e12d98a522a542f8`
trajectories/nist_univariate.lottery.tool.e1.a1.jsonl	3,6 KB	`2828ecfe4cdc8f3e123547852e270757ba3cfbb6cc0fdc6cfb207d4027915b5f`
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trajectories/nist_univariate.michelso.tool.e1.a1.jsonl	3,5 KB	`d082c4d8778c2bed6278c719606a90f6014441ec500b204406ccb9187dd4b3f6`
trajectories/nist_univariate.numacc1.agent.e1.a1.jsonl	5,3 KB	`9a8dce1e1d5ad72674d6132fd251f5ba0988ea3859fdc4975f0946c0bd3abdd6`
trajectories/nist_univariate.numacc1.tool.e1.a1.jsonl	3,5 KB	`71f127fc66543d088022b36e4e4952b2cadd6461217252ce77c6c20c795e2228`
trajectories/nist_univariate.numacc2.agent.e1.a1.jsonl	5,3 KB	`91b98a9d3afa449f2bc7363d53258ef5d416bc110f7cf09cc4781a3aee6a20d2`
trajectories/nist_univariate.numacc2.tool.e1.a1.jsonl	3,5 KB	`a22a9a2fb28ad0a88ea8815dea6662e6a261203eb6584bd8eb128a6f5bb93921`
trajectories/nist_univariate.numacc3.agent.e1.a1.jsonl	5,3 KB	`a539b57af792680b1a4751a66229dfe154c9a4520d14acea559c37f2167ef3c6`
trajectories/nist_univariate.numacc3.tool.e1.a1.jsonl	3,5 KB	`def56361f93eb97f1b3bc2cc6a9296496d743dd1e9b3c249881cec6d31afc64a`
trajectories/nist_univariate.numacc4.agent.e1.a1.jsonl	5,3 KB	`9a78ee4f3489177c3ffbbeb647b9edaf65e27fb6f2446986aafdd6c9f9f83594`
trajectories/nist_univariate.numacc4.tool.e1.a1.jsonl	3,5 KB	`7c1b8c850239178a791bfd43e87641b8d9e35e3f3aea89a85727d1450ea1fe57`
trajectories/nist_univariate.pidigits.agent.e1.a1.jsonl	5,3 KB	`393582f5b9c66a2d009cf685637be06684621967f588de3b72c2b1a211283c18`
trajectories/nist_univariate.pidigits.tool.e1.a1.jsonl	3,5 KB	`b9748eae55317060a7355fcb206dd80d4c27cf84df7d34f614168efb4dad37c3`
verify_bundle.py	36,1 KB	`e529500171e873cc55733c9c44f3a7b8386074c3aad998e6cb27a79b53cddd31`
SHA256SUMS	11,4 KB	`30187cd37b8a4d32a896807d3cfe689f64e6771882bc333cd29651b3db39c2cf`

Eventos do registro

20261015T171212Z-suite-nist_univariate-baseline-e9020b.started.json45e1cdd5a17f9a43854b6bde96d49eb46fa93693caafc4281404af2087c04ff4
20261015T171212Z-suite-nist_univariate-baseline-e9020b.final.json10bc2f4ddef95cbd7a1196f7c11eca2054ea4f47039853f0188eddab60ead483

Verifique você mesmo

Resumo da execução: 30187cd37b8a4d32a896807d3cfe689f64e6771882bc333cd29651b3db39c2cf
sha256 do arquivo SHA256SUMS; deve ser igual ao run_digest do evento final do registro.

Qualquer pessoa, sem o repositório

Baixe o pacote inteiro e descompacte.

Rode o verificador, que só usa a biblioteca padrão do Python:

cd 20261015T171212Z-suite-nist_univariate-baseline-e9020b
python3 verify_bundle.py

Ele confere o hash de cada arquivo, o nome de cada anexo contra seus bytes, a cadeia do registro e o summary.json recalculado a partir de results.jsonl.

Para conferir o resumo:

shasum -a 256 SHA256SUMS   # 30187cd37b8a4d32a896807d3cfe689f64e6771882bc333cd29651b3db39c2cf

Com acesso ao repositório (privado)

git checkout 2925aeab226272b243436386a1c4e01d97c1377e
uv sync --frozen --all-packages
uv run magi-bench verify bench-runs/20261015T171212Z-suite-nist_univariate-baseline-e9020b

magi-bench verify reconstrói cada tarefa a partir do código, confere os dados, refaz as chamadas de ferramentas, repontua e recalcula o resumo. Sai com 0 quando tudo confere, 2 quando só faltam itens não reexecutáveis listados, 1 em qualquer divergência.