Cuong2004 commited on
Commit
0a46073
·
verified ·
1 Parent(s): 5dfbee9

knowledge: COMPLETE verified shard group

Browse files
knowledge/graph-e1-raw-fp16-v2/receipts/000840.json CHANGED
@@ -1 +1 @@
1
- {"alignment_sha256":"5d89c81e41e6ed442ad7f532cd36a52e665a79dd18204414f23df93622d9af14","artifact_path":"knowledge/graph-e1-raw-fp16-v2/shards/000840.bin","bytes":252033258,"fp16_bitwise_roundtrip":true,"fp16_payload_sha256":"c2102a6a4e4051b9af56c9be0867c60758cc04055e63b5166047f6017b11a836","identity":{"actual_teacher_hf_revision":"9ce79652c1590997c8a3c84c420721774c90e363","cache_identity":"563bac05358fb4cb449e2b125d62a250dabded66e1cbe972801626c79359464a","checkpoint_path":"checkpoints/gch-e419-full-seed42-20261023-r1/checkpoint_step_359851.pt","checkpoint_sha256":"bded20ccb9fe69496ec55ebe3f630cef3d811c610353cf94944d322249a18a05","config_fingerprint":"a53fc42d105997e949fabf74a98f5ddb69a706da590803abbc07fb3eb349793b","dataset_fingerprint":"ccb6c5b7f1bddec623cd94a9fc146a4d268f35eaab666459de6b911732d4a32b","dataset_revision":"a1adc9749e294ccff4eaac376de1c78ef0ea33ca","extraction_git_commit":"a1ab5d28bb49b91aa4aafd8758b1c6d6e0c2f3eb","extraction_plan_fingerprint":"b1baaaa70695701f9dbd63db323b42d174a87f527c07e21053fe0fbc2f4d4fab","graph_enabled":true,"implementation_sha256":{"knowledge_batch_benchmark.py":"d1820d06951789fb4f891a87c51cf2467f6b66942dac59a4b6f12621adedecf0","knowledge_batching.py":"79fad817fb34fd2a65f1934c96bbc46ed856cd3333d112bcedd970bd9eb2b51f","knowledge_cpu_benchmark.py":"7799132ca843857aa574fb2ec98a906b9181c6080de377c37fc6fbaff6bad7ae","knowledge_cpu_profile.py":"b38dee1918bfcf3fcc37aefd1fd3077a294d19b3994212c91778b1acb27d3cd6","knowledge_engineering_benchmark.py":"ca255b151a75fc5df6be9565c5834be662f7bdf03dfea4bb812fdcad750b362b","knowledge_extraction.py":"b93fd25bdcdda7590c67f6a91e5cd0919b26d1b40decd52c3c4e823aa9396c7a","knowledge_full_pipeline.py":"0aca81dbbd0581c193c18fece95e3c6e7337223d10bb226af2a33a93edd7ad7c","knowledge_group_publication.py":"4c6e68612e67dce7a233ef26c2e6680353c68ececbfe332add06a2db76080406","knowledge_inference.py":"a08d5816628c887d63c121f9c65d7a3cd2e826fe66a31cc206f9a2c61ca3741e","knowledge_monitor.py":"d5374952b8cedb0a52f4c5e04f490a108e9a48e1062e4fd22b14cd68aa7f3ebd","knowledge_network_benchmark.py":"1346b3b5c7f959b7faa7cada563f1953b2c036653f689c7e6c88e268f847884a","knowledge_pipeline.py":"a421283f5115e710a7a8eafaa0725a3b3a3d394086067afd85a77eeedf04decb","knowledge_prefetch.py":"2da9ba2f717128f4e8199f5fa58cdbea3004cd662f875c29e03aa647a803ea4d","knowledge_production.py":"198d46406f8dbd5c37c7d478bb6e381dbab0a17afa693af1df00105fb40dc2db","knowledge_production_publication.py":"c1be2b97a84f1dc2df74926504dc914bff8fdca547dfb04c3f35143ba6e73254","knowledge_publication.py":"94e206a5d82066c3bf24ee803eec681d09cbbaf58d9efa879632ea96fc638f4e","knowledge_retry.py":"90d7da0c4e41e9a52904a8dafce462bc394218da276b72d1b8306cd480d6e3b6","knowledge_runtime_bundle.py":"9119c0dd7c1113211caac100ed4d263a6cd189ca589cc44d8c2d33fc43a6310d","knowledge_shard.py":"353c615df196f7ae6e68fba10b4a0d780c960c26dbc97a87469f004969ed2716","knowledge_source_prefetch.py":"662e5ebd2c0f18261eb24926c71128bef47cf5c04907d42a6e1c96b4775ace7a","knowledge_staging.py":"04476f37b5283fb806a07fa33b323848110fd5e8d128b29601fc910607497cff","knowledge_storage.py":"75569fb81878f3a30d0695e370b7d0085372cb461ea57f08e05651a608e59f7c","knowledge_stream_benchmark.py":"58813bbab04756c9608e2fabbc6035a62320170675246dc321b8369c4099e087","knowledge_teacher.py":"a1a7c2a5f9d98dba272253629a6b8880509cbcc70f05768e0b16b8f5c9cb8f43","knowledge_transport.py":"8abe7a81aa627a73cfead513834f415ab686a85073ef894f92faca8059fb2c61"},"limitations":["Parent producer/provenance/license-scope evidence remains unverified under issues 161 and 171.","Cross-split, near-duplicate and benchmark leakage checks remain unverified.","Published source/build plan is incomplete; full payload checksums have not been independently reproduced.","Author-reported payload observations are not independently reproduced research acceptance."],"metadata_sha256":{"resolved_config.json":"66b5da6f3336597d52bb8ab2b819941040f1b84d44344a06801bf0a1ae477f78","run.json":"ce1e369cf3dd6dc204aec8c9ab98c8bda1121291683f059bf5b12c8112da90f0","streaming_identity.json":"eff0460e7b26ccea0bce87e21cc26d04627fea883c3aeaf03d22550c701502a7"},"pipeline_version":2,"production_contract":{"batch_size":1024,"group_size":8,"layout":"packed_zstd1","queue_depth":8,"shard_rows":131072,"source_prefetch_depth":2},"runtime":{"cuda":"13.0","gpu":"NVIDIA RTX PRO 6000 Blackwell Server Edition","numpy":"2.2.6","precision":"bf16","pyarrow":"21.0.0","python":"3.13.11","recurrent_precision":"fp32","torch":"2.11.0+cu130"},"schema":{"channel_order":["form:0:5","tone:0:6","boundary:0:1","case:0:2"],"channels":14,"dtype":"<f2","logits":"final_post_graph_raw","padding_policy":"source_mask_true_only","schema_version":"graph_e1_raw_fp16_v1","split":"train","task_variant":"T2_JOINT","unsupported_policy":"retain_row_empty_logits"},"sealed_test_accessed":false,"source_manifest_sha256":"be0b123332b94fdad66f4c8bc9eb7c9fed93596b053d83e43581fb04398a3492","source_train_files_sha256":"eb3c1b65b844e1081a3ecf79065c12d6bc2b6a341b01dbfdacf120e4fbe6f279","strict_state_restore":true,"teacher_git_commit":"ae0250338a1ce4ea51c980f523a7e084ff668510","teacher_parameter_count":4236728,"teacher_run_id":"gch-e419-full-seed42-20261023-r1"},"layout":"packed_zstd1","raw_count":131072,"row_end":110231552,"row_start":110100480,"sha256":"eee07de4c168e29f7c1af014d082e8045c2a2b62dfe14f03b7c47a6efec0eb85","shard":840,"state":"UPLOADED","supported_count":130915,"token_count":11644921,"unsupported_count":157}
 
1
+ {"alignment_sha256":"5d89c81e41e6ed442ad7f532cd36a52e665a79dd18204414f23df93622d9af14","artifact_path":"knowledge/graph-e1-raw-fp16-v2/shards/000840.bin","bytes":252033258,"fp16_bitwise_roundtrip":true,"fp16_payload_sha256":"c2102a6a4e4051b9af56c9be0867c60758cc04055e63b5166047f6017b11a836","group_upload_seconds":39.59607261600104,"identity":{"actual_teacher_hf_revision":"9ce79652c1590997c8a3c84c420721774c90e363","cache_identity":"563bac05358fb4cb449e2b125d62a250dabded66e1cbe972801626c79359464a","checkpoint_path":"checkpoints/gch-e419-full-seed42-20261023-r1/checkpoint_step_359851.pt","checkpoint_sha256":"bded20ccb9fe69496ec55ebe3f630cef3d811c610353cf94944d322249a18a05","config_fingerprint":"a53fc42d105997e949fabf74a98f5ddb69a706da590803abbc07fb3eb349793b","dataset_fingerprint":"ccb6c5b7f1bddec623cd94a9fc146a4d268f35eaab666459de6b911732d4a32b","dataset_revision":"a1adc9749e294ccff4eaac376de1c78ef0ea33ca","extraction_git_commit":"a1ab5d28bb49b91aa4aafd8758b1c6d6e0c2f3eb","extraction_plan_fingerprint":"b1baaaa70695701f9dbd63db323b42d174a87f527c07e21053fe0fbc2f4d4fab","graph_enabled":true,"implementation_sha256":{"knowledge_batch_benchmark.py":"d1820d06951789fb4f891a87c51cf2467f6b66942dac59a4b6f12621adedecf0","knowledge_batching.py":"79fad817fb34fd2a65f1934c96bbc46ed856cd3333d112bcedd970bd9eb2b51f","knowledge_cpu_benchmark.py":"7799132ca843857aa574fb2ec98a906b9181c6080de377c37fc6fbaff6bad7ae","knowledge_cpu_profile.py":"b38dee1918bfcf3fcc37aefd1fd3077a294d19b3994212c91778b1acb27d3cd6","knowledge_engineering_benchmark.py":"ca255b151a75fc5df6be9565c5834be662f7bdf03dfea4bb812fdcad750b362b","knowledge_extraction.py":"b93fd25bdcdda7590c67f6a91e5cd0919b26d1b40decd52c3c4e823aa9396c7a","knowledge_full_pipeline.py":"0aca81dbbd0581c193c18fece95e3c6e7337223d10bb226af2a33a93edd7ad7c","knowledge_group_publication.py":"4c6e68612e67dce7a233ef26c2e6680353c68ececbfe332add06a2db76080406","knowledge_inference.py":"a08d5816628c887d63c121f9c65d7a3cd2e826fe66a31cc206f9a2c61ca3741e","knowledge_monitor.py":"d5374952b8cedb0a52f4c5e04f490a108e9a48e1062e4fd22b14cd68aa7f3ebd","knowledge_network_benchmark.py":"1346b3b5c7f959b7faa7cada563f1953b2c036653f689c7e6c88e268f847884a","knowledge_pipeline.py":"a421283f5115e710a7a8eafaa0725a3b3a3d394086067afd85a77eeedf04decb","knowledge_prefetch.py":"2da9ba2f717128f4e8199f5fa58cdbea3004cd662f875c29e03aa647a803ea4d","knowledge_production.py":"198d46406f8dbd5c37c7d478bb6e381dbab0a17afa693af1df00105fb40dc2db","knowledge_production_publication.py":"c1be2b97a84f1dc2df74926504dc914bff8fdca547dfb04c3f35143ba6e73254","knowledge_publication.py":"94e206a5d82066c3bf24ee803eec681d09cbbaf58d9efa879632ea96fc638f4e","knowledge_retry.py":"90d7da0c4e41e9a52904a8dafce462bc394218da276b72d1b8306cd480d6e3b6","knowledge_runtime_bundle.py":"9119c0dd7c1113211caac100ed4d263a6cd189ca589cc44d8c2d33fc43a6310d","knowledge_shard.py":"353c615df196f7ae6e68fba10b4a0d780c960c26dbc97a87469f004969ed2716","knowledge_source_prefetch.py":"662e5ebd2c0f18261eb24926c71128bef47cf5c04907d42a6e1c96b4775ace7a","knowledge_staging.py":"04476f37b5283fb806a07fa33b323848110fd5e8d128b29601fc910607497cff","knowledge_storage.py":"75569fb81878f3a30d0695e370b7d0085372cb461ea57f08e05651a608e59f7c","knowledge_stream_benchmark.py":"58813bbab04756c9608e2fabbc6035a62320170675246dc321b8369c4099e087","knowledge_teacher.py":"a1a7c2a5f9d98dba272253629a6b8880509cbcc70f05768e0b16b8f5c9cb8f43","knowledge_transport.py":"8abe7a81aa627a73cfead513834f415ab686a85073ef894f92faca8059fb2c61"},"limitations":["Parent producer/provenance/license-scope evidence remains unverified under issues 161 and 171.","Cross-split, near-duplicate and benchmark leakage checks remain unverified.","Published source/build plan is incomplete; full payload checksums have not been independently reproduced.","Author-reported payload observations are not independently reproduced research acceptance."],"metadata_sha256":{"resolved_config.json":"66b5da6f3336597d52bb8ab2b819941040f1b84d44344a06801bf0a1ae477f78","run.json":"ce1e369cf3dd6dc204aec8c9ab98c8bda1121291683f059bf5b12c8112da90f0","streaming_identity.json":"eff0460e7b26ccea0bce87e21cc26d04627fea883c3aeaf03d22550c701502a7"},"pipeline_version":2,"production_contract":{"batch_size":1024,"group_size":8,"layout":"packed_zstd1","queue_depth":8,"shard_rows":131072,"source_prefetch_depth":2},"runtime":{"cuda":"13.0","gpu":"NVIDIA RTX PRO 6000 Blackwell Server Edition","numpy":"2.2.6","precision":"bf16","pyarrow":"21.0.0","python":"3.13.11","recurrent_precision":"fp32","torch":"2.11.0+cu130"},"schema":{"channel_order":["form:0:5","tone:0:6","boundary:0:1","case:0:2"],"channels":14,"dtype":"<f2","logits":"final_post_graph_raw","padding_policy":"source_mask_true_only","schema_version":"graph_e1_raw_fp16_v1","split":"train","task_variant":"T2_JOINT","unsupported_policy":"retain_row_empty_logits"},"sealed_test_accessed":false,"source_manifest_sha256":"be0b123332b94fdad66f4c8bc9eb7c9fed93596b053d83e43581fb04398a3492","source_train_files_sha256":"eb3c1b65b844e1081a3ecf79065c12d6bc2b6a341b01dbfdacf120e4fbe6f279","strict_state_restore":true,"teacher_git_commit":"ae0250338a1ce4ea51c980f523a7e084ff668510","teacher_parameter_count":4236728,"teacher_run_id":"gch-e419-full-seed42-20261023-r1"},"layout":"packed_zstd1","raw_count":131072,"remote_bytes":252033258,"remote_verified_sha256":"eee07de4c168e29f7c1af014d082e8045c2a2b62dfe14f03b7c47a6efec0eb85","remote_verify_seconds":19.419653338998614,"row_end":110231552,"row_start":110100480,"sha256":"eee07de4c168e29f7c1af014d082e8045c2a2b62dfe14f03b7c47a6efec0eb85","shard":840,"state":"COMPLETE","supported_count":130915,"token_count":11644921,"unsupported_count":157,"upload_revision":"5dfbee90153dc9175be785405cf12229180019d3"}
knowledge/graph-e1-raw-fp16-v2/receipts/000841.json CHANGED
@@ -1 +1 @@
1
- {"alignment_sha256":"34350e22c4dd04c3eea2d750e9af49b345c49dd5deff22d88dc1b2ce9288e3ee","artifact_path":"knowledge/graph-e1-raw-fp16-v2/shards/000841.bin","bytes":252486176,"fp16_bitwise_roundtrip":true,"fp16_payload_sha256":"d15efaafe543748041264bb01f0daf33001d23390e0da513e9cab06f6784c69b","identity":{"actual_teacher_hf_revision":"9ce79652c1590997c8a3c84c420721774c90e363","cache_identity":"563bac05358fb4cb449e2b125d62a250dabded66e1cbe972801626c79359464a","checkpoint_path":"checkpoints/gch-e419-full-seed42-20261023-r1/checkpoint_step_359851.pt","checkpoint_sha256":"bded20ccb9fe69496ec55ebe3f630cef3d811c610353cf94944d322249a18a05","config_fingerprint":"a53fc42d105997e949fabf74a98f5ddb69a706da590803abbc07fb3eb349793b","dataset_fingerprint":"ccb6c5b7f1bddec623cd94a9fc146a4d268f35eaab666459de6b911732d4a32b","dataset_revision":"a1adc9749e294ccff4eaac376de1c78ef0ea33ca","extraction_git_commit":"a1ab5d28bb49b91aa4aafd8758b1c6d6e0c2f3eb","extraction_plan_fingerprint":"b1baaaa70695701f9dbd63db323b42d174a87f527c07e21053fe0fbc2f4d4fab","graph_enabled":true,"implementation_sha256":{"knowledge_batch_benchmark.py":"d1820d06951789fb4f891a87c51cf2467f6b66942dac59a4b6f12621adedecf0","knowledge_batching.py":"79fad817fb34fd2a65f1934c96bbc46ed856cd3333d112bcedd970bd9eb2b51f","knowledge_cpu_benchmark.py":"7799132ca843857aa574fb2ec98a906b9181c6080de377c37fc6fbaff6bad7ae","knowledge_cpu_profile.py":"b38dee1918bfcf3fcc37aefd1fd3077a294d19b3994212c91778b1acb27d3cd6","knowledge_engineering_benchmark.py":"ca255b151a75fc5df6be9565c5834be662f7bdf03dfea4bb812fdcad750b362b","knowledge_extraction.py":"b93fd25bdcdda7590c67f6a91e5cd0919b26d1b40decd52c3c4e823aa9396c7a","knowledge_full_pipeline.py":"0aca81dbbd0581c193c18fece95e3c6e7337223d10bb226af2a33a93edd7ad7c","knowledge_group_publication.py":"4c6e68612e67dce7a233ef26c2e6680353c68ececbfe332add06a2db76080406","knowledge_inference.py":"a08d5816628c887d63c121f9c65d7a3cd2e826fe66a31cc206f9a2c61ca3741e","knowledge_monitor.py":"d5374952b8cedb0a52f4c5e04f490a108e9a48e1062e4fd22b14cd68aa7f3ebd","knowledge_network_benchmark.py":"1346b3b5c7f959b7faa7cada563f1953b2c036653f689c7e6c88e268f847884a","knowledge_pipeline.py":"a421283f5115e710a7a8eafaa0725a3b3a3d394086067afd85a77eeedf04decb","knowledge_prefetch.py":"2da9ba2f717128f4e8199f5fa58cdbea3004cd662f875c29e03aa647a803ea4d","knowledge_production.py":"198d46406f8dbd5c37c7d478bb6e381dbab0a17afa693af1df00105fb40dc2db","knowledge_production_publication.py":"c1be2b97a84f1dc2df74926504dc914bff8fdca547dfb04c3f35143ba6e73254","knowledge_publication.py":"94e206a5d82066c3bf24ee803eec681d09cbbaf58d9efa879632ea96fc638f4e","knowledge_retry.py":"90d7da0c4e41e9a52904a8dafce462bc394218da276b72d1b8306cd480d6e3b6","knowledge_runtime_bundle.py":"9119c0dd7c1113211caac100ed4d263a6cd189ca589cc44d8c2d33fc43a6310d","knowledge_shard.py":"353c615df196f7ae6e68fba10b4a0d780c960c26dbc97a87469f004969ed2716","knowledge_source_prefetch.py":"662e5ebd2c0f18261eb24926c71128bef47cf5c04907d42a6e1c96b4775ace7a","knowledge_staging.py":"04476f37b5283fb806a07fa33b323848110fd5e8d128b29601fc910607497cff","knowledge_storage.py":"75569fb81878f3a30d0695e370b7d0085372cb461ea57f08e05651a608e59f7c","knowledge_stream_benchmark.py":"58813bbab04756c9608e2fabbc6035a62320170675246dc321b8369c4099e087","knowledge_teacher.py":"a1a7c2a5f9d98dba272253629a6b8880509cbcc70f05768e0b16b8f5c9cb8f43","knowledge_transport.py":"8abe7a81aa627a73cfead513834f415ab686a85073ef894f92faca8059fb2c61"},"limitations":["Parent producer/provenance/license-scope evidence remains unverified under issues 161 and 171.","Cross-split, near-duplicate and benchmark leakage checks remain unverified.","Published source/build plan is incomplete; full payload checksums have not been independently reproduced.","Author-reported payload observations are not independently reproduced research acceptance."],"metadata_sha256":{"resolved_config.json":"66b5da6f3336597d52bb8ab2b819941040f1b84d44344a06801bf0a1ae477f78","run.json":"ce1e369cf3dd6dc204aec8c9ab98c8bda1121291683f059bf5b12c8112da90f0","streaming_identity.json":"eff0460e7b26ccea0bce87e21cc26d04627fea883c3aeaf03d22550c701502a7"},"pipeline_version":2,"production_contract":{"batch_size":1024,"group_size":8,"layout":"packed_zstd1","queue_depth":8,"shard_rows":131072,"source_prefetch_depth":2},"runtime":{"cuda":"13.0","gpu":"NVIDIA RTX PRO 6000 Blackwell Server Edition","numpy":"2.2.6","precision":"bf16","pyarrow":"21.0.0","python":"3.13.11","recurrent_precision":"fp32","torch":"2.11.0+cu130"},"schema":{"channel_order":["form:0:5","tone:0:6","boundary:0:1","case:0:2"],"channels":14,"dtype":"<f2","logits":"final_post_graph_raw","padding_policy":"source_mask_true_only","schema_version":"graph_e1_raw_fp16_v1","split":"train","task_variant":"T2_JOINT","unsupported_policy":"retain_row_empty_logits"},"sealed_test_accessed":false,"source_manifest_sha256":"be0b123332b94fdad66f4c8bc9eb7c9fed93596b053d83e43581fb04398a3492","source_train_files_sha256":"eb3c1b65b844e1081a3ecf79065c12d6bc2b6a341b01dbfdacf120e4fbe6f279","strict_state_restore":true,"teacher_git_commit":"ae0250338a1ce4ea51c980f523a7e084ff668510","teacher_parameter_count":4236728,"teacher_run_id":"gch-e419-full-seed42-20261023-r1"},"layout":"packed_zstd1","raw_count":131072,"row_end":110362624,"row_start":110231552,"sha256":"bc404516a4ebfe9c845e51809edfbabc7efa6e03592980b6ddf5fd2d02e0c4e9","shard":841,"state":"UPLOADED","supported_count":130927,"token_count":11666136,"unsupported_count":145}
 
1
+ {"alignment_sha256":"34350e22c4dd04c3eea2d750e9af49b345c49dd5deff22d88dc1b2ce9288e3ee","artifact_path":"knowledge/graph-e1-raw-fp16-v2/shards/000841.bin","bytes":252486176,"fp16_bitwise_roundtrip":true,"fp16_payload_sha256":"d15efaafe543748041264bb01f0daf33001d23390e0da513e9cab06f6784c69b","group_upload_seconds":39.59607261600104,"identity":{"actual_teacher_hf_revision":"9ce79652c1590997c8a3c84c420721774c90e363","cache_identity":"563bac05358fb4cb449e2b125d62a250dabded66e1cbe972801626c79359464a","checkpoint_path":"checkpoints/gch-e419-full-seed42-20261023-r1/checkpoint_step_359851.pt","checkpoint_sha256":"bded20ccb9fe69496ec55ebe3f630cef3d811c610353cf94944d322249a18a05","config_fingerprint":"a53fc42d105997e949fabf74a98f5ddb69a706da590803abbc07fb3eb349793b","dataset_fingerprint":"ccb6c5b7f1bddec623cd94a9fc146a4d268f35eaab666459de6b911732d4a32b","dataset_revision":"a1adc9749e294ccff4eaac376de1c78ef0ea33ca","extraction_git_commit":"a1ab5d28bb49b91aa4aafd8758b1c6d6e0c2f3eb","extraction_plan_fingerprint":"b1baaaa70695701f9dbd63db323b42d174a87f527c07e21053fe0fbc2f4d4fab","graph_enabled":true,"implementation_sha256":{"knowledge_batch_benchmark.py":"d1820d06951789fb4f891a87c51cf2467f6b66942dac59a4b6f12621adedecf0","knowledge_batching.py":"79fad817fb34fd2a65f1934c96bbc46ed856cd3333d112bcedd970bd9eb2b51f","knowledge_cpu_benchmark.py":"7799132ca843857aa574fb2ec98a906b9181c6080de377c37fc6fbaff6bad7ae","knowledge_cpu_profile.py":"b38dee1918bfcf3fcc37aefd1fd3077a294d19b3994212c91778b1acb27d3cd6","knowledge_engineering_benchmark.py":"ca255b151a75fc5df6be9565c5834be662f7bdf03dfea4bb812fdcad750b362b","knowledge_extraction.py":"b93fd25bdcdda7590c67f6a91e5cd0919b26d1b40decd52c3c4e823aa9396c7a","knowledge_full_pipeline.py":"0aca81dbbd0581c193c18fece95e3c6e7337223d10bb226af2a33a93edd7ad7c","knowledge_group_publication.py":"4c6e68612e67dce7a233ef26c2e6680353c68ececbfe332add06a2db76080406","knowledge_inference.py":"a08d5816628c887d63c121f9c65d7a3cd2e826fe66a31cc206f9a2c61ca3741e","knowledge_monitor.py":"d5374952b8cedb0a52f4c5e04f490a108e9a48e1062e4fd22b14cd68aa7f3ebd","knowledge_network_benchmark.py":"1346b3b5c7f959b7faa7cada563f1953b2c036653f689c7e6c88e268f847884a","knowledge_pipeline.py":"a421283f5115e710a7a8eafaa0725a3b3a3d394086067afd85a77eeedf04decb","knowledge_prefetch.py":"2da9ba2f717128f4e8199f5fa58cdbea3004cd662f875c29e03aa647a803ea4d","knowledge_production.py":"198d46406f8dbd5c37c7d478bb6e381dbab0a17afa693af1df00105fb40dc2db","knowledge_production_publication.py":"c1be2b97a84f1dc2df74926504dc914bff8fdca547dfb04c3f35143ba6e73254","knowledge_publication.py":"94e206a5d82066c3bf24ee803eec681d09cbbaf58d9efa879632ea96fc638f4e","knowledge_retry.py":"90d7da0c4e41e9a52904a8dafce462bc394218da276b72d1b8306cd480d6e3b6","knowledge_runtime_bundle.py":"9119c0dd7c1113211caac100ed4d263a6cd189ca589cc44d8c2d33fc43a6310d","knowledge_shard.py":"353c615df196f7ae6e68fba10b4a0d780c960c26dbc97a87469f004969ed2716","knowledge_source_prefetch.py":"662e5ebd2c0f18261eb24926c71128bef47cf5c04907d42a6e1c96b4775ace7a","knowledge_staging.py":"04476f37b5283fb806a07fa33b323848110fd5e8d128b29601fc910607497cff","knowledge_storage.py":"75569fb81878f3a30d0695e370b7d0085372cb461ea57f08e05651a608e59f7c","knowledge_stream_benchmark.py":"58813bbab04756c9608e2fabbc6035a62320170675246dc321b8369c4099e087","knowledge_teacher.py":"a1a7c2a5f9d98dba272253629a6b8880509cbcc70f05768e0b16b8f5c9cb8f43","knowledge_transport.py":"8abe7a81aa627a73cfead513834f415ab686a85073ef894f92faca8059fb2c61"},"limitations":["Parent producer/provenance/license-scope evidence remains unverified under issues 161 and 171.","Cross-split, near-duplicate and benchmark leakage checks remain unverified.","Published source/build plan is incomplete; full payload checksums have not been independently reproduced.","Author-reported payload observations are not independently reproduced research acceptance."],"metadata_sha256":{"resolved_config.json":"66b5da6f3336597d52bb8ab2b819941040f1b84d44344a06801bf0a1ae477f78","run.json":"ce1e369cf3dd6dc204aec8c9ab98c8bda1121291683f059bf5b12c8112da90f0","streaming_identity.json":"eff0460e7b26ccea0bce87e21cc26d04627fea883c3aeaf03d22550c701502a7"},"pipeline_version":2,"production_contract":{"batch_size":1024,"group_size":8,"layout":"packed_zstd1","queue_depth":8,"shard_rows":131072,"source_prefetch_depth":2},"runtime":{"cuda":"13.0","gpu":"NVIDIA RTX PRO 6000 Blackwell Server Edition","numpy":"2.2.6","precision":"bf16","pyarrow":"21.0.0","python":"3.13.11","recurrent_precision":"fp32","torch":"2.11.0+cu130"},"schema":{"channel_order":["form:0:5","tone:0:6","boundary:0:1","case:0:2"],"channels":14,"dtype":"<f2","logits":"final_post_graph_raw","padding_policy":"source_mask_true_only","schema_version":"graph_e1_raw_fp16_v1","split":"train","task_variant":"T2_JOINT","unsupported_policy":"retain_row_empty_logits"},"sealed_test_accessed":false,"source_manifest_sha256":"be0b123332b94fdad66f4c8bc9eb7c9fed93596b053d83e43581fb04398a3492","source_train_files_sha256":"eb3c1b65b844e1081a3ecf79065c12d6bc2b6a341b01dbfdacf120e4fbe6f279","strict_state_restore":true,"teacher_git_commit":"ae0250338a1ce4ea51c980f523a7e084ff668510","teacher_parameter_count":4236728,"teacher_run_id":"gch-e419-full-seed42-20261023-r1"},"layout":"packed_zstd1","raw_count":131072,"remote_bytes":252486176,"remote_verified_sha256":"bc404516a4ebfe9c845e51809edfbabc7efa6e03592980b6ddf5fd2d02e0c4e9","remote_verify_seconds":2.6822271549972356,"row_end":110362624,"row_start":110231552,"sha256":"bc404516a4ebfe9c845e51809edfbabc7efa6e03592980b6ddf5fd2d02e0c4e9","shard":841,"state":"COMPLETE","supported_count":130927,"token_count":11666136,"unsupported_count":145,"upload_revision":"5dfbee90153dc9175be785405cf12229180019d3"}
knowledge/graph-e1-raw-fp16-v2/receipts/000842.json CHANGED
@@ -1 +1 @@
1
- {"alignment_sha256":"89089aa831bee15147c25d01480669e64f5241231bac17d28a21a851917c05c7","artifact_path":"knowledge/graph-e1-raw-fp16-v2/shards/000842.bin","bytes":251758672,"fp16_bitwise_roundtrip":true,"fp16_payload_sha256":"ec1611911e8e38f8daddc1663bfb7b10641a616a6b3a1b6b5256d66375db4bab","identity":{"actual_teacher_hf_revision":"9ce79652c1590997c8a3c84c420721774c90e363","cache_identity":"563bac05358fb4cb449e2b125d62a250dabded66e1cbe972801626c79359464a","checkpoint_path":"checkpoints/gch-e419-full-seed42-20261023-r1/checkpoint_step_359851.pt","checkpoint_sha256":"bded20ccb9fe69496ec55ebe3f630cef3d811c610353cf94944d322249a18a05","config_fingerprint":"a53fc42d105997e949fabf74a98f5ddb69a706da590803abbc07fb3eb349793b","dataset_fingerprint":"ccb6c5b7f1bddec623cd94a9fc146a4d268f35eaab666459de6b911732d4a32b","dataset_revision":"a1adc9749e294ccff4eaac376de1c78ef0ea33ca","extraction_git_commit":"a1ab5d28bb49b91aa4aafd8758b1c6d6e0c2f3eb","extraction_plan_fingerprint":"b1baaaa70695701f9dbd63db323b42d174a87f527c07e21053fe0fbc2f4d4fab","graph_enabled":true,"implementation_sha256":{"knowledge_batch_benchmark.py":"d1820d06951789fb4f891a87c51cf2467f6b66942dac59a4b6f12621adedecf0","knowledge_batching.py":"79fad817fb34fd2a65f1934c96bbc46ed856cd3333d112bcedd970bd9eb2b51f","knowledge_cpu_benchmark.py":"7799132ca843857aa574fb2ec98a906b9181c6080de377c37fc6fbaff6bad7ae","knowledge_cpu_profile.py":"b38dee1918bfcf3fcc37aefd1fd3077a294d19b3994212c91778b1acb27d3cd6","knowledge_engineering_benchmark.py":"ca255b151a75fc5df6be9565c5834be662f7bdf03dfea4bb812fdcad750b362b","knowledge_extraction.py":"b93fd25bdcdda7590c67f6a91e5cd0919b26d1b40decd52c3c4e823aa9396c7a","knowledge_full_pipeline.py":"0aca81dbbd0581c193c18fece95e3c6e7337223d10bb226af2a33a93edd7ad7c","knowledge_group_publication.py":"4c6e68612e67dce7a233ef26c2e6680353c68ececbfe332add06a2db76080406","knowledge_inference.py":"a08d5816628c887d63c121f9c65d7a3cd2e826fe66a31cc206f9a2c61ca3741e","knowledge_monitor.py":"d5374952b8cedb0a52f4c5e04f490a108e9a48e1062e4fd22b14cd68aa7f3ebd","knowledge_network_benchmark.py":"1346b3b5c7f959b7faa7cada563f1953b2c036653f689c7e6c88e268f847884a","knowledge_pipeline.py":"a421283f5115e710a7a8eafaa0725a3b3a3d394086067afd85a77eeedf04decb","knowledge_prefetch.py":"2da9ba2f717128f4e8199f5fa58cdbea3004cd662f875c29e03aa647a803ea4d","knowledge_production.py":"198d46406f8dbd5c37c7d478bb6e381dbab0a17afa693af1df00105fb40dc2db","knowledge_production_publication.py":"c1be2b97a84f1dc2df74926504dc914bff8fdca547dfb04c3f35143ba6e73254","knowledge_publication.py":"94e206a5d82066c3bf24ee803eec681d09cbbaf58d9efa879632ea96fc638f4e","knowledge_retry.py":"90d7da0c4e41e9a52904a8dafce462bc394218da276b72d1b8306cd480d6e3b6","knowledge_runtime_bundle.py":"9119c0dd7c1113211caac100ed4d263a6cd189ca589cc44d8c2d33fc43a6310d","knowledge_shard.py":"353c615df196f7ae6e68fba10b4a0d780c960c26dbc97a87469f004969ed2716","knowledge_source_prefetch.py":"662e5ebd2c0f18261eb24926c71128bef47cf5c04907d42a6e1c96b4775ace7a","knowledge_staging.py":"04476f37b5283fb806a07fa33b323848110fd5e8d128b29601fc910607497cff","knowledge_storage.py":"75569fb81878f3a30d0695e370b7d0085372cb461ea57f08e05651a608e59f7c","knowledge_stream_benchmark.py":"58813bbab04756c9608e2fabbc6035a62320170675246dc321b8369c4099e087","knowledge_teacher.py":"a1a7c2a5f9d98dba272253629a6b8880509cbcc70f05768e0b16b8f5c9cb8f43","knowledge_transport.py":"8abe7a81aa627a73cfead513834f415ab686a85073ef894f92faca8059fb2c61"},"limitations":["Parent producer/provenance/license-scope evidence remains unverified under issues 161 and 171.","Cross-split, near-duplicate and benchmark leakage checks remain unverified.","Published source/build plan is incomplete; full payload checksums have not been independently reproduced.","Author-reported payload observations are not independently reproduced research acceptance."],"metadata_sha256":{"resolved_config.json":"66b5da6f3336597d52bb8ab2b819941040f1b84d44344a06801bf0a1ae477f78","run.json":"ce1e369cf3dd6dc204aec8c9ab98c8bda1121291683f059bf5b12c8112da90f0","streaming_identity.json":"eff0460e7b26ccea0bce87e21cc26d04627fea883c3aeaf03d22550c701502a7"},"pipeline_version":2,"production_contract":{"batch_size":1024,"group_size":8,"layout":"packed_zstd1","queue_depth":8,"shard_rows":131072,"source_prefetch_depth":2},"runtime":{"cuda":"13.0","gpu":"NVIDIA RTX PRO 6000 Blackwell Server Edition","numpy":"2.2.6","precision":"bf16","pyarrow":"21.0.0","python":"3.13.11","recurrent_precision":"fp32","torch":"2.11.0+cu130"},"schema":{"channel_order":["form:0:5","tone:0:6","boundary:0:1","case:0:2"],"channels":14,"dtype":"<f2","logits":"final_post_graph_raw","padding_policy":"source_mask_true_only","schema_version":"graph_e1_raw_fp16_v1","split":"train","task_variant":"T2_JOINT","unsupported_policy":"retain_row_empty_logits"},"sealed_test_accessed":false,"source_manifest_sha256":"be0b123332b94fdad66f4c8bc9eb7c9fed93596b053d83e43581fb04398a3492","source_train_files_sha256":"eb3c1b65b844e1081a3ecf79065c12d6bc2b6a341b01dbfdacf120e4fbe6f279","strict_state_restore":true,"teacher_git_commit":"ae0250338a1ce4ea51c980f523a7e084ff668510","teacher_parameter_count":4236728,"teacher_run_id":"gch-e419-full-seed42-20261023-r1"},"layout":"packed_zstd1","raw_count":131072,"row_end":110493696,"row_start":110362624,"sha256":"5382597d2d2e287ada76de1b7a3881b8fe84a1f15c8fe47801c14c5038848294","shard":842,"state":"UPLOADED","supported_count":130936,"token_count":11632534,"unsupported_count":136}
 
1
+ {"alignment_sha256":"89089aa831bee15147c25d01480669e64f5241231bac17d28a21a851917c05c7","artifact_path":"knowledge/graph-e1-raw-fp16-v2/shards/000842.bin","bytes":251758672,"fp16_bitwise_roundtrip":true,"fp16_payload_sha256":"ec1611911e8e38f8daddc1663bfb7b10641a616a6b3a1b6b5256d66375db4bab","group_upload_seconds":39.59607261600104,"identity":{"actual_teacher_hf_revision":"9ce79652c1590997c8a3c84c420721774c90e363","cache_identity":"563bac05358fb4cb449e2b125d62a250dabded66e1cbe972801626c79359464a","checkpoint_path":"checkpoints/gch-e419-full-seed42-20261023-r1/checkpoint_step_359851.pt","checkpoint_sha256":"bded20ccb9fe69496ec55ebe3f630cef3d811c610353cf94944d322249a18a05","config_fingerprint":"a53fc42d105997e949fabf74a98f5ddb69a706da590803abbc07fb3eb349793b","dataset_fingerprint":"ccb6c5b7f1bddec623cd94a9fc146a4d268f35eaab666459de6b911732d4a32b","dataset_revision":"a1adc9749e294ccff4eaac376de1c78ef0ea33ca","extraction_git_commit":"a1ab5d28bb49b91aa4aafd8758b1c6d6e0c2f3eb","extraction_plan_fingerprint":"b1baaaa70695701f9dbd63db323b42d174a87f527c07e21053fe0fbc2f4d4fab","graph_enabled":true,"implementation_sha256":{"knowledge_batch_benchmark.py":"d1820d06951789fb4f891a87c51cf2467f6b66942dac59a4b6f12621adedecf0","knowledge_batching.py":"79fad817fb34fd2a65f1934c96bbc46ed856cd3333d112bcedd970bd9eb2b51f","knowledge_cpu_benchmark.py":"7799132ca843857aa574fb2ec98a906b9181c6080de377c37fc6fbaff6bad7ae","knowledge_cpu_profile.py":"b38dee1918bfcf3fcc37aefd1fd3077a294d19b3994212c91778b1acb27d3cd6","knowledge_engineering_benchmark.py":"ca255b151a75fc5df6be9565c5834be662f7bdf03dfea4bb812fdcad750b362b","knowledge_extraction.py":"b93fd25bdcdda7590c67f6a91e5cd0919b26d1b40decd52c3c4e823aa9396c7a","knowledge_full_pipeline.py":"0aca81dbbd0581c193c18fece95e3c6e7337223d10bb226af2a33a93edd7ad7c","knowledge_group_publication.py":"4c6e68612e67dce7a233ef26c2e6680353c68ececbfe332add06a2db76080406","knowledge_inference.py":"a08d5816628c887d63c121f9c65d7a3cd2e826fe66a31cc206f9a2c61ca3741e","knowledge_monitor.py":"d5374952b8cedb0a52f4c5e04f490a108e9a48e1062e4fd22b14cd68aa7f3ebd","knowledge_network_benchmark.py":"1346b3b5c7f959b7faa7cada563f1953b2c036653f689c7e6c88e268f847884a","knowledge_pipeline.py":"a421283f5115e710a7a8eafaa0725a3b3a3d394086067afd85a77eeedf04decb","knowledge_prefetch.py":"2da9ba2f717128f4e8199f5fa58cdbea3004cd662f875c29e03aa647a803ea4d","knowledge_production.py":"198d46406f8dbd5c37c7d478bb6e381dbab0a17afa693af1df00105fb40dc2db","knowledge_production_publication.py":"c1be2b97a84f1dc2df74926504dc914bff8fdca547dfb04c3f35143ba6e73254","knowledge_publication.py":"94e206a5d82066c3bf24ee803eec681d09cbbaf58d9efa879632ea96fc638f4e","knowledge_retry.py":"90d7da0c4e41e9a52904a8dafce462bc394218da276b72d1b8306cd480d6e3b6","knowledge_runtime_bundle.py":"9119c0dd7c1113211caac100ed4d263a6cd189ca589cc44d8c2d33fc43a6310d","knowledge_shard.py":"353c615df196f7ae6e68fba10b4a0d780c960c26dbc97a87469f004969ed2716","knowledge_source_prefetch.py":"662e5ebd2c0f18261eb24926c71128bef47cf5c04907d42a6e1c96b4775ace7a","knowledge_staging.py":"04476f37b5283fb806a07fa33b323848110fd5e8d128b29601fc910607497cff","knowledge_storage.py":"75569fb81878f3a30d0695e370b7d0085372cb461ea57f08e05651a608e59f7c","knowledge_stream_benchmark.py":"58813bbab04756c9608e2fabbc6035a62320170675246dc321b8369c4099e087","knowledge_teacher.py":"a1a7c2a5f9d98dba272253629a6b8880509cbcc70f05768e0b16b8f5c9cb8f43","knowledge_transport.py":"8abe7a81aa627a73cfead513834f415ab686a85073ef894f92faca8059fb2c61"},"limitations":["Parent producer/provenance/license-scope evidence remains unverified under issues 161 and 171.","Cross-split, near-duplicate and benchmark leakage checks remain unverified.","Published source/build plan is incomplete; full payload checksums have not been independently reproduced.","Author-reported payload observations are not independently reproduced research acceptance."],"metadata_sha256":{"resolved_config.json":"66b5da6f3336597d52bb8ab2b819941040f1b84d44344a06801bf0a1ae477f78","run.json":"ce1e369cf3dd6dc204aec8c9ab98c8bda1121291683f059bf5b12c8112da90f0","streaming_identity.json":"eff0460e7b26ccea0bce87e21cc26d04627fea883c3aeaf03d22550c701502a7"},"pipeline_version":2,"production_contract":{"batch_size":1024,"group_size":8,"layout":"packed_zstd1","queue_depth":8,"shard_rows":131072,"source_prefetch_depth":2},"runtime":{"cuda":"13.0","gpu":"NVIDIA RTX PRO 6000 Blackwell Server Edition","numpy":"2.2.6","precision":"bf16","pyarrow":"21.0.0","python":"3.13.11","recurrent_precision":"fp32","torch":"2.11.0+cu130"},"schema":{"channel_order":["form:0:5","tone:0:6","boundary:0:1","case:0:2"],"channels":14,"dtype":"<f2","logits":"final_post_graph_raw","padding_policy":"source_mask_true_only","schema_version":"graph_e1_raw_fp16_v1","split":"train","task_variant":"T2_JOINT","unsupported_policy":"retain_row_empty_logits"},"sealed_test_accessed":false,"source_manifest_sha256":"be0b123332b94fdad66f4c8bc9eb7c9fed93596b053d83e43581fb04398a3492","source_train_files_sha256":"eb3c1b65b844e1081a3ecf79065c12d6bc2b6a341b01dbfdacf120e4fbe6f279","strict_state_restore":true,"teacher_git_commit":"ae0250338a1ce4ea51c980f523a7e084ff668510","teacher_parameter_count":4236728,"teacher_run_id":"gch-e419-full-seed42-20261023-r1"},"layout":"packed_zstd1","raw_count":131072,"remote_bytes":251758672,"remote_verified_sha256":"5382597d2d2e287ada76de1b7a3881b8fe84a1f15c8fe47801c14c5038848294","remote_verify_seconds":4.808438772997761,"row_end":110493696,"row_start":110362624,"sha256":"5382597d2d2e287ada76de1b7a3881b8fe84a1f15c8fe47801c14c5038848294","shard":842,"state":"COMPLETE","supported_count":130936,"token_count":11632534,"unsupported_count":136,"upload_revision":"5dfbee90153dc9175be785405cf12229180019d3"}
knowledge/graph-e1-raw-fp16-v2/receipts/000843.json CHANGED
@@ -1 +1 @@
1
- {"alignment_sha256":"79b9a274f963fc41fdb83c7f02d067876354f80a9349cead866f50252bc45a81","artifact_path":"knowledge/graph-e1-raw-fp16-v2/shards/000843.bin","bytes":252057136,"fp16_bitwise_roundtrip":true,"fp16_payload_sha256":"a2597124b33f3275850010b6b0c10b374584af4b2480467e66d5e25d90d6dba1","identity":{"actual_teacher_hf_revision":"9ce79652c1590997c8a3c84c420721774c90e363","cache_identity":"563bac05358fb4cb449e2b125d62a250dabded66e1cbe972801626c79359464a","checkpoint_path":"checkpoints/gch-e419-full-seed42-20261023-r1/checkpoint_step_359851.pt","checkpoint_sha256":"bded20ccb9fe69496ec55ebe3f630cef3d811c610353cf94944d322249a18a05","config_fingerprint":"a53fc42d105997e949fabf74a98f5ddb69a706da590803abbc07fb3eb349793b","dataset_fingerprint":"ccb6c5b7f1bddec623cd94a9fc146a4d268f35eaab666459de6b911732d4a32b","dataset_revision":"a1adc9749e294ccff4eaac376de1c78ef0ea33ca","extraction_git_commit":"a1ab5d28bb49b91aa4aafd8758b1c6d6e0c2f3eb","extraction_plan_fingerprint":"b1baaaa70695701f9dbd63db323b42d174a87f527c07e21053fe0fbc2f4d4fab","graph_enabled":true,"implementation_sha256":{"knowledge_batch_benchmark.py":"d1820d06951789fb4f891a87c51cf2467f6b66942dac59a4b6f12621adedecf0","knowledge_batching.py":"79fad817fb34fd2a65f1934c96bbc46ed856cd3333d112bcedd970bd9eb2b51f","knowledge_cpu_benchmark.py":"7799132ca843857aa574fb2ec98a906b9181c6080de377c37fc6fbaff6bad7ae","knowledge_cpu_profile.py":"b38dee1918bfcf3fcc37aefd1fd3077a294d19b3994212c91778b1acb27d3cd6","knowledge_engineering_benchmark.py":"ca255b151a75fc5df6be9565c5834be662f7bdf03dfea4bb812fdcad750b362b","knowledge_extraction.py":"b93fd25bdcdda7590c67f6a91e5cd0919b26d1b40decd52c3c4e823aa9396c7a","knowledge_full_pipeline.py":"0aca81dbbd0581c193c18fece95e3c6e7337223d10bb226af2a33a93edd7ad7c","knowledge_group_publication.py":"4c6e68612e67dce7a233ef26c2e6680353c68ececbfe332add06a2db76080406","knowledge_inference.py":"a08d5816628c887d63c121f9c65d7a3cd2e826fe66a31cc206f9a2c61ca3741e","knowledge_monitor.py":"d5374952b8cedb0a52f4c5e04f490a108e9a48e1062e4fd22b14cd68aa7f3ebd","knowledge_network_benchmark.py":"1346b3b5c7f959b7faa7cada563f1953b2c036653f689c7e6c88e268f847884a","knowledge_pipeline.py":"a421283f5115e710a7a8eafaa0725a3b3a3d394086067afd85a77eeedf04decb","knowledge_prefetch.py":"2da9ba2f717128f4e8199f5fa58cdbea3004cd662f875c29e03aa647a803ea4d","knowledge_production.py":"198d46406f8dbd5c37c7d478bb6e381dbab0a17afa693af1df00105fb40dc2db","knowledge_production_publication.py":"c1be2b97a84f1dc2df74926504dc914bff8fdca547dfb04c3f35143ba6e73254","knowledge_publication.py":"94e206a5d82066c3bf24ee803eec681d09cbbaf58d9efa879632ea96fc638f4e","knowledge_retry.py":"90d7da0c4e41e9a52904a8dafce462bc394218da276b72d1b8306cd480d6e3b6","knowledge_runtime_bundle.py":"9119c0dd7c1113211caac100ed4d263a6cd189ca589cc44d8c2d33fc43a6310d","knowledge_shard.py":"353c615df196f7ae6e68fba10b4a0d780c960c26dbc97a87469f004969ed2716","knowledge_source_prefetch.py":"662e5ebd2c0f18261eb24926c71128bef47cf5c04907d42a6e1c96b4775ace7a","knowledge_staging.py":"04476f37b5283fb806a07fa33b323848110fd5e8d128b29601fc910607497cff","knowledge_storage.py":"75569fb81878f3a30d0695e370b7d0085372cb461ea57f08e05651a608e59f7c","knowledge_stream_benchmark.py":"58813bbab04756c9608e2fabbc6035a62320170675246dc321b8369c4099e087","knowledge_teacher.py":"a1a7c2a5f9d98dba272253629a6b8880509cbcc70f05768e0b16b8f5c9cb8f43","knowledge_transport.py":"8abe7a81aa627a73cfead513834f415ab686a85073ef894f92faca8059fb2c61"},"limitations":["Parent producer/provenance/license-scope evidence remains unverified under issues 161 and 171.","Cross-split, near-duplicate and benchmark leakage checks remain unverified.","Published source/build plan is incomplete; full payload checksums have not been independently reproduced.","Author-reported payload observations are not independently reproduced research acceptance."],"metadata_sha256":{"resolved_config.json":"66b5da6f3336597d52bb8ab2b819941040f1b84d44344a06801bf0a1ae477f78","run.json":"ce1e369cf3dd6dc204aec8c9ab98c8bda1121291683f059bf5b12c8112da90f0","streaming_identity.json":"eff0460e7b26ccea0bce87e21cc26d04627fea883c3aeaf03d22550c701502a7"},"pipeline_version":2,"production_contract":{"batch_size":1024,"group_size":8,"layout":"packed_zstd1","queue_depth":8,"shard_rows":131072,"source_prefetch_depth":2},"runtime":{"cuda":"13.0","gpu":"NVIDIA RTX PRO 6000 Blackwell Server Edition","numpy":"2.2.6","precision":"bf16","pyarrow":"21.0.0","python":"3.13.11","recurrent_precision":"fp32","torch":"2.11.0+cu130"},"schema":{"channel_order":["form:0:5","tone:0:6","boundary:0:1","case:0:2"],"channels":14,"dtype":"<f2","logits":"final_post_graph_raw","padding_policy":"source_mask_true_only","schema_version":"graph_e1_raw_fp16_v1","split":"train","task_variant":"T2_JOINT","unsupported_policy":"retain_row_empty_logits"},"sealed_test_accessed":false,"source_manifest_sha256":"be0b123332b94fdad66f4c8bc9eb7c9fed93596b053d83e43581fb04398a3492","source_train_files_sha256":"eb3c1b65b844e1081a3ecf79065c12d6bc2b6a341b01dbfdacf120e4fbe6f279","strict_state_restore":true,"teacher_git_commit":"ae0250338a1ce4ea51c980f523a7e084ff668510","teacher_parameter_count":4236728,"teacher_run_id":"gch-e419-full-seed42-20261023-r1"},"layout":"packed_zstd1","raw_count":131072,"row_end":110624768,"row_start":110493696,"sha256":"d2d167d0d0db6e9d4c739f89c9aa07ed3480e86b38a01e70cc0ded5e1fd672f2","shard":843,"state":"UPLOADED","supported_count":130921,"token_count":11646346,"unsupported_count":151}
 
1
+ {"alignment_sha256":"79b9a274f963fc41fdb83c7f02d067876354f80a9349cead866f50252bc45a81","artifact_path":"knowledge/graph-e1-raw-fp16-v2/shards/000843.bin","bytes":252057136,"fp16_bitwise_roundtrip":true,"fp16_payload_sha256":"a2597124b33f3275850010b6b0c10b374584af4b2480467e66d5e25d90d6dba1","group_upload_seconds":39.59607261600104,"identity":{"actual_teacher_hf_revision":"9ce79652c1590997c8a3c84c420721774c90e363","cache_identity":"563bac05358fb4cb449e2b125d62a250dabded66e1cbe972801626c79359464a","checkpoint_path":"checkpoints/gch-e419-full-seed42-20261023-r1/checkpoint_step_359851.pt","checkpoint_sha256":"bded20ccb9fe69496ec55ebe3f630cef3d811c610353cf94944d322249a18a05","config_fingerprint":"a53fc42d105997e949fabf74a98f5ddb69a706da590803abbc07fb3eb349793b","dataset_fingerprint":"ccb6c5b7f1bddec623cd94a9fc146a4d268f35eaab666459de6b911732d4a32b","dataset_revision":"a1adc9749e294ccff4eaac376de1c78ef0ea33ca","extraction_git_commit":"a1ab5d28bb49b91aa4aafd8758b1c6d6e0c2f3eb","extraction_plan_fingerprint":"b1baaaa70695701f9dbd63db323b42d174a87f527c07e21053fe0fbc2f4d4fab","graph_enabled":true,"implementation_sha256":{"knowledge_batch_benchmark.py":"d1820d06951789fb4f891a87c51cf2467f6b66942dac59a4b6f12621adedecf0","knowledge_batching.py":"79fad817fb34fd2a65f1934c96bbc46ed856cd3333d112bcedd970bd9eb2b51f","knowledge_cpu_benchmark.py":"7799132ca843857aa574fb2ec98a906b9181c6080de377c37fc6fbaff6bad7ae","knowledge_cpu_profile.py":"b38dee1918bfcf3fcc37aefd1fd3077a294d19b3994212c91778b1acb27d3cd6","knowledge_engineering_benchmark.py":"ca255b151a75fc5df6be9565c5834be662f7bdf03dfea4bb812fdcad750b362b","knowledge_extraction.py":"b93fd25bdcdda7590c67f6a91e5cd0919b26d1b40decd52c3c4e823aa9396c7a","knowledge_full_pipeline.py":"0aca81dbbd0581c193c18fece95e3c6e7337223d10bb226af2a33a93edd7ad7c","knowledge_group_publication.py":"4c6e68612e67dce7a233ef26c2e6680353c68ececbfe332add06a2db76080406","knowledge_inference.py":"a08d5816628c887d63c121f9c65d7a3cd2e826fe66a31cc206f9a2c61ca3741e","knowledge_monitor.py":"d5374952b8cedb0a52f4c5e04f490a108e9a48e1062e4fd22b14cd68aa7f3ebd","knowledge_network_benchmark.py":"1346b3b5c7f959b7faa7cada563f1953b2c036653f689c7e6c88e268f847884a","knowledge_pipeline.py":"a421283f5115e710a7a8eafaa0725a3b3a3d394086067afd85a77eeedf04decb","knowledge_prefetch.py":"2da9ba2f717128f4e8199f5fa58cdbea3004cd662f875c29e03aa647a803ea4d","knowledge_production.py":"198d46406f8dbd5c37c7d478bb6e381dbab0a17afa693af1df00105fb40dc2db","knowledge_production_publication.py":"c1be2b97a84f1dc2df74926504dc914bff8fdca547dfb04c3f35143ba6e73254","knowledge_publication.py":"94e206a5d82066c3bf24ee803eec681d09cbbaf58d9efa879632ea96fc638f4e","knowledge_retry.py":"90d7da0c4e41e9a52904a8dafce462bc394218da276b72d1b8306cd480d6e3b6","knowledge_runtime_bundle.py":"9119c0dd7c1113211caac100ed4d263a6cd189ca589cc44d8c2d33fc43a6310d","knowledge_shard.py":"353c615df196f7ae6e68fba10b4a0d780c960c26dbc97a87469f004969ed2716","knowledge_source_prefetch.py":"662e5ebd2c0f18261eb24926c71128bef47cf5c04907d42a6e1c96b4775ace7a","knowledge_staging.py":"04476f37b5283fb806a07fa33b323848110fd5e8d128b29601fc910607497cff","knowledge_storage.py":"75569fb81878f3a30d0695e370b7d0085372cb461ea57f08e05651a608e59f7c","knowledge_stream_benchmark.py":"58813bbab04756c9608e2fabbc6035a62320170675246dc321b8369c4099e087","knowledge_teacher.py":"a1a7c2a5f9d98dba272253629a6b8880509cbcc70f05768e0b16b8f5c9cb8f43","knowledge_transport.py":"8abe7a81aa627a73cfead513834f415ab686a85073ef894f92faca8059fb2c61"},"limitations":["Parent producer/provenance/license-scope evidence remains unverified under issues 161 and 171.","Cross-split, near-duplicate and benchmark leakage checks remain unverified.","Published source/build plan is incomplete; full payload checksums have not been independently reproduced.","Author-reported payload observations are not independently reproduced research acceptance."],"metadata_sha256":{"resolved_config.json":"66b5da6f3336597d52bb8ab2b819941040f1b84d44344a06801bf0a1ae477f78","run.json":"ce1e369cf3dd6dc204aec8c9ab98c8bda1121291683f059bf5b12c8112da90f0","streaming_identity.json":"eff0460e7b26ccea0bce87e21cc26d04627fea883c3aeaf03d22550c701502a7"},"pipeline_version":2,"production_contract":{"batch_size":1024,"group_size":8,"layout":"packed_zstd1","queue_depth":8,"shard_rows":131072,"source_prefetch_depth":2},"runtime":{"cuda":"13.0","gpu":"NVIDIA RTX PRO 6000 Blackwell Server Edition","numpy":"2.2.6","precision":"bf16","pyarrow":"21.0.0","python":"3.13.11","recurrent_precision":"fp32","torch":"2.11.0+cu130"},"schema":{"channel_order":["form:0:5","tone:0:6","boundary:0:1","case:0:2"],"channels":14,"dtype":"<f2","logits":"final_post_graph_raw","padding_policy":"source_mask_true_only","schema_version":"graph_e1_raw_fp16_v1","split":"train","task_variant":"T2_JOINT","unsupported_policy":"retain_row_empty_logits"},"sealed_test_accessed":false,"source_manifest_sha256":"be0b123332b94fdad66f4c8bc9eb7c9fed93596b053d83e43581fb04398a3492","source_train_files_sha256":"eb3c1b65b844e1081a3ecf79065c12d6bc2b6a341b01dbfdacf120e4fbe6f279","strict_state_restore":true,"teacher_git_commit":"ae0250338a1ce4ea51c980f523a7e084ff668510","teacher_parameter_count":4236728,"teacher_run_id":"gch-e419-full-seed42-20261023-r1"},"layout":"packed_zstd1","raw_count":131072,"remote_bytes":252057136,"remote_verified_sha256":"d2d167d0d0db6e9d4c739f89c9aa07ed3480e86b38a01e70cc0ded5e1fd672f2","remote_verify_seconds":2.9401294130002498,"row_end":110624768,"row_start":110493696,"sha256":"d2d167d0d0db6e9d4c739f89c9aa07ed3480e86b38a01e70cc0ded5e1fd672f2","shard":843,"state":"COMPLETE","supported_count":130921,"token_count":11646346,"unsupported_count":151,"upload_revision":"5dfbee90153dc9175be785405cf12229180019d3"}
knowledge/graph-e1-raw-fp16-v2/receipts/000844.json CHANGED
@@ -1 +1 @@
1
- {"alignment_sha256":"8ab72fa1b344de5d4ddcd5fc26b0bf1b7be7d433daeab660249a9733102d3770","artifact_path":"knowledge/graph-e1-raw-fp16-v2/shards/000844.bin","bytes":251846629,"fp16_bitwise_roundtrip":true,"fp16_payload_sha256":"8a9d9e8c10827e95a24f91ea21b5ec076bfa79e12515359237ba47d4877cd906","identity":{"actual_teacher_hf_revision":"9ce79652c1590997c8a3c84c420721774c90e363","cache_identity":"563bac05358fb4cb449e2b125d62a250dabded66e1cbe972801626c79359464a","checkpoint_path":"checkpoints/gch-e419-full-seed42-20261023-r1/checkpoint_step_359851.pt","checkpoint_sha256":"bded20ccb9fe69496ec55ebe3f630cef3d811c610353cf94944d322249a18a05","config_fingerprint":"a53fc42d105997e949fabf74a98f5ddb69a706da590803abbc07fb3eb349793b","dataset_fingerprint":"ccb6c5b7f1bddec623cd94a9fc146a4d268f35eaab666459de6b911732d4a32b","dataset_revision":"a1adc9749e294ccff4eaac376de1c78ef0ea33ca","extraction_git_commit":"a1ab5d28bb49b91aa4aafd8758b1c6d6e0c2f3eb","extraction_plan_fingerprint":"b1baaaa70695701f9dbd63db323b42d174a87f527c07e21053fe0fbc2f4d4fab","graph_enabled":true,"implementation_sha256":{"knowledge_batch_benchmark.py":"d1820d06951789fb4f891a87c51cf2467f6b66942dac59a4b6f12621adedecf0","knowledge_batching.py":"79fad817fb34fd2a65f1934c96bbc46ed856cd3333d112bcedd970bd9eb2b51f","knowledge_cpu_benchmark.py":"7799132ca843857aa574fb2ec98a906b9181c6080de377c37fc6fbaff6bad7ae","knowledge_cpu_profile.py":"b38dee1918bfcf3fcc37aefd1fd3077a294d19b3994212c91778b1acb27d3cd6","knowledge_engineering_benchmark.py":"ca255b151a75fc5df6be9565c5834be662f7bdf03dfea4bb812fdcad750b362b","knowledge_extraction.py":"b93fd25bdcdda7590c67f6a91e5cd0919b26d1b40decd52c3c4e823aa9396c7a","knowledge_full_pipeline.py":"0aca81dbbd0581c193c18fece95e3c6e7337223d10bb226af2a33a93edd7ad7c","knowledge_group_publication.py":"4c6e68612e67dce7a233ef26c2e6680353c68ececbfe332add06a2db76080406","knowledge_inference.py":"a08d5816628c887d63c121f9c65d7a3cd2e826fe66a31cc206f9a2c61ca3741e","knowledge_monitor.py":"d5374952b8cedb0a52f4c5e04f490a108e9a48e1062e4fd22b14cd68aa7f3ebd","knowledge_network_benchmark.py":"1346b3b5c7f959b7faa7cada563f1953b2c036653f689c7e6c88e268f847884a","knowledge_pipeline.py":"a421283f5115e710a7a8eafaa0725a3b3a3d394086067afd85a77eeedf04decb","knowledge_prefetch.py":"2da9ba2f717128f4e8199f5fa58cdbea3004cd662f875c29e03aa647a803ea4d","knowledge_production.py":"198d46406f8dbd5c37c7d478bb6e381dbab0a17afa693af1df00105fb40dc2db","knowledge_production_publication.py":"c1be2b97a84f1dc2df74926504dc914bff8fdca547dfb04c3f35143ba6e73254","knowledge_publication.py":"94e206a5d82066c3bf24ee803eec681d09cbbaf58d9efa879632ea96fc638f4e","knowledge_retry.py":"90d7da0c4e41e9a52904a8dafce462bc394218da276b72d1b8306cd480d6e3b6","knowledge_runtime_bundle.py":"9119c0dd7c1113211caac100ed4d263a6cd189ca589cc44d8c2d33fc43a6310d","knowledge_shard.py":"353c615df196f7ae6e68fba10b4a0d780c960c26dbc97a87469f004969ed2716","knowledge_source_prefetch.py":"662e5ebd2c0f18261eb24926c71128bef47cf5c04907d42a6e1c96b4775ace7a","knowledge_staging.py":"04476f37b5283fb806a07fa33b323848110fd5e8d128b29601fc910607497cff","knowledge_storage.py":"75569fb81878f3a30d0695e370b7d0085372cb461ea57f08e05651a608e59f7c","knowledge_stream_benchmark.py":"58813bbab04756c9608e2fabbc6035a62320170675246dc321b8369c4099e087","knowledge_teacher.py":"a1a7c2a5f9d98dba272253629a6b8880509cbcc70f05768e0b16b8f5c9cb8f43","knowledge_transport.py":"8abe7a81aa627a73cfead513834f415ab686a85073ef894f92faca8059fb2c61"},"limitations":["Parent producer/provenance/license-scope evidence remains unverified under issues 161 and 171.","Cross-split, near-duplicate and benchmark leakage checks remain unverified.","Published source/build plan is incomplete; full payload checksums have not been independently reproduced.","Author-reported payload observations are not independently reproduced research acceptance."],"metadata_sha256":{"resolved_config.json":"66b5da6f3336597d52bb8ab2b819941040f1b84d44344a06801bf0a1ae477f78","run.json":"ce1e369cf3dd6dc204aec8c9ab98c8bda1121291683f059bf5b12c8112da90f0","streaming_identity.json":"eff0460e7b26ccea0bce87e21cc26d04627fea883c3aeaf03d22550c701502a7"},"pipeline_version":2,"production_contract":{"batch_size":1024,"group_size":8,"layout":"packed_zstd1","queue_depth":8,"shard_rows":131072,"source_prefetch_depth":2},"runtime":{"cuda":"13.0","gpu":"NVIDIA RTX PRO 6000 Blackwell Server Edition","numpy":"2.2.6","precision":"bf16","pyarrow":"21.0.0","python":"3.13.11","recurrent_precision":"fp32","torch":"2.11.0+cu130"},"schema":{"channel_order":["form:0:5","tone:0:6","boundary:0:1","case:0:2"],"channels":14,"dtype":"<f2","logits":"final_post_graph_raw","padding_policy":"source_mask_true_only","schema_version":"graph_e1_raw_fp16_v1","split":"train","task_variant":"T2_JOINT","unsupported_policy":"retain_row_empty_logits"},"sealed_test_accessed":false,"source_manifest_sha256":"be0b123332b94fdad66f4c8bc9eb7c9fed93596b053d83e43581fb04398a3492","source_train_files_sha256":"eb3c1b65b844e1081a3ecf79065c12d6bc2b6a341b01dbfdacf120e4fbe6f279","strict_state_restore":true,"teacher_git_commit":"ae0250338a1ce4ea51c980f523a7e084ff668510","teacher_parameter_count":4236728,"teacher_run_id":"gch-e419-full-seed42-20261023-r1"},"layout":"packed_zstd1","raw_count":131072,"row_end":110755840,"row_start":110624768,"sha256":"6f7163326689e5ffaec8b4059ff39e1e02844343e2c6068927cd0b31699145a9","shard":844,"state":"UPLOADED","supported_count":130894,"token_count":11636777,"unsupported_count":178}
 
1
+ {"alignment_sha256":"8ab72fa1b344de5d4ddcd5fc26b0bf1b7be7d433daeab660249a9733102d3770","artifact_path":"knowledge/graph-e1-raw-fp16-v2/shards/000844.bin","bytes":251846629,"fp16_bitwise_roundtrip":true,"fp16_payload_sha256":"8a9d9e8c10827e95a24f91ea21b5ec076bfa79e12515359237ba47d4877cd906","group_upload_seconds":39.59607261600104,"identity":{"actual_teacher_hf_revision":"9ce79652c1590997c8a3c84c420721774c90e363","cache_identity":"563bac05358fb4cb449e2b125d62a250dabded66e1cbe972801626c79359464a","checkpoint_path":"checkpoints/gch-e419-full-seed42-20261023-r1/checkpoint_step_359851.pt","checkpoint_sha256":"bded20ccb9fe69496ec55ebe3f630cef3d811c610353cf94944d322249a18a05","config_fingerprint":"a53fc42d105997e949fabf74a98f5ddb69a706da590803abbc07fb3eb349793b","dataset_fingerprint":"ccb6c5b7f1bddec623cd94a9fc146a4d268f35eaab666459de6b911732d4a32b","dataset_revision":"a1adc9749e294ccff4eaac376de1c78ef0ea33ca","extraction_git_commit":"a1ab5d28bb49b91aa4aafd8758b1c6d6e0c2f3eb","extraction_plan_fingerprint":"b1baaaa70695701f9dbd63db323b42d174a87f527c07e21053fe0fbc2f4d4fab","graph_enabled":true,"implementation_sha256":{"knowledge_batch_benchmark.py":"d1820d06951789fb4f891a87c51cf2467f6b66942dac59a4b6f12621adedecf0","knowledge_batching.py":"79fad817fb34fd2a65f1934c96bbc46ed856cd3333d112bcedd970bd9eb2b51f","knowledge_cpu_benchmark.py":"7799132ca843857aa574fb2ec98a906b9181c6080de377c37fc6fbaff6bad7ae","knowledge_cpu_profile.py":"b38dee1918bfcf3fcc37aefd1fd3077a294d19b3994212c91778b1acb27d3cd6","knowledge_engineering_benchmark.py":"ca255b151a75fc5df6be9565c5834be662f7bdf03dfea4bb812fdcad750b362b","knowledge_extraction.py":"b93fd25bdcdda7590c67f6a91e5cd0919b26d1b40decd52c3c4e823aa9396c7a","knowledge_full_pipeline.py":"0aca81dbbd0581c193c18fece95e3c6e7337223d10bb226af2a33a93edd7ad7c","knowledge_group_publication.py":"4c6e68612e67dce7a233ef26c2e6680353c68ececbfe332add06a2db76080406","knowledge_inference.py":"a08d5816628c887d63c121f9c65d7a3cd2e826fe66a31cc206f9a2c61ca3741e","knowledge_monitor.py":"d5374952b8cedb0a52f4c5e04f490a108e9a48e1062e4fd22b14cd68aa7f3ebd","knowledge_network_benchmark.py":"1346b3b5c7f959b7faa7cada563f1953b2c036653f689c7e6c88e268f847884a","knowledge_pipeline.py":"a421283f5115e710a7a8eafaa0725a3b3a3d394086067afd85a77eeedf04decb","knowledge_prefetch.py":"2da9ba2f717128f4e8199f5fa58cdbea3004cd662f875c29e03aa647a803ea4d","knowledge_production.py":"198d46406f8dbd5c37c7d478bb6e381dbab0a17afa693af1df00105fb40dc2db","knowledge_production_publication.py":"c1be2b97a84f1dc2df74926504dc914bff8fdca547dfb04c3f35143ba6e73254","knowledge_publication.py":"94e206a5d82066c3bf24ee803eec681d09cbbaf58d9efa879632ea96fc638f4e","knowledge_retry.py":"90d7da0c4e41e9a52904a8dafce462bc394218da276b72d1b8306cd480d6e3b6","knowledge_runtime_bundle.py":"9119c0dd7c1113211caac100ed4d263a6cd189ca589cc44d8c2d33fc43a6310d","knowledge_shard.py":"353c615df196f7ae6e68fba10b4a0d780c960c26dbc97a87469f004969ed2716","knowledge_source_prefetch.py":"662e5ebd2c0f18261eb24926c71128bef47cf5c04907d42a6e1c96b4775ace7a","knowledge_staging.py":"04476f37b5283fb806a07fa33b323848110fd5e8d128b29601fc910607497cff","knowledge_storage.py":"75569fb81878f3a30d0695e370b7d0085372cb461ea57f08e05651a608e59f7c","knowledge_stream_benchmark.py":"58813bbab04756c9608e2fabbc6035a62320170675246dc321b8369c4099e087","knowledge_teacher.py":"a1a7c2a5f9d98dba272253629a6b8880509cbcc70f05768e0b16b8f5c9cb8f43","knowledge_transport.py":"8abe7a81aa627a73cfead513834f415ab686a85073ef894f92faca8059fb2c61"},"limitations":["Parent producer/provenance/license-scope evidence remains unverified under issues 161 and 171.","Cross-split, near-duplicate and benchmark leakage checks remain unverified.","Published source/build plan is incomplete; full payload checksums have not been independently reproduced.","Author-reported payload observations are not independently reproduced research acceptance."],"metadata_sha256":{"resolved_config.json":"66b5da6f3336597d52bb8ab2b819941040f1b84d44344a06801bf0a1ae477f78","run.json":"ce1e369cf3dd6dc204aec8c9ab98c8bda1121291683f059bf5b12c8112da90f0","streaming_identity.json":"eff0460e7b26ccea0bce87e21cc26d04627fea883c3aeaf03d22550c701502a7"},"pipeline_version":2,"production_contract":{"batch_size":1024,"group_size":8,"layout":"packed_zstd1","queue_depth":8,"shard_rows":131072,"source_prefetch_depth":2},"runtime":{"cuda":"13.0","gpu":"NVIDIA RTX PRO 6000 Blackwell Server Edition","numpy":"2.2.6","precision":"bf16","pyarrow":"21.0.0","python":"3.13.11","recurrent_precision":"fp32","torch":"2.11.0+cu130"},"schema":{"channel_order":["form:0:5","tone:0:6","boundary:0:1","case:0:2"],"channels":14,"dtype":"<f2","logits":"final_post_graph_raw","padding_policy":"source_mask_true_only","schema_version":"graph_e1_raw_fp16_v1","split":"train","task_variant":"T2_JOINT","unsupported_policy":"retain_row_empty_logits"},"sealed_test_accessed":false,"source_manifest_sha256":"be0b123332b94fdad66f4c8bc9eb7c9fed93596b053d83e43581fb04398a3492","source_train_files_sha256":"eb3c1b65b844e1081a3ecf79065c12d6bc2b6a341b01dbfdacf120e4fbe6f279","strict_state_restore":true,"teacher_git_commit":"ae0250338a1ce4ea51c980f523a7e084ff668510","teacher_parameter_count":4236728,"teacher_run_id":"gch-e419-full-seed42-20261023-r1"},"layout":"packed_zstd1","raw_count":131072,"remote_bytes":251846629,"remote_verified_sha256":"6f7163326689e5ffaec8b4059ff39e1e02844343e2c6068927cd0b31699145a9","remote_verify_seconds":4.932227627999964,"row_end":110755840,"row_start":110624768,"sha256":"6f7163326689e5ffaec8b4059ff39e1e02844343e2c6068927cd0b31699145a9","shard":844,"state":"COMPLETE","supported_count":130894,"token_count":11636777,"unsupported_count":178,"upload_revision":"5dfbee90153dc9175be785405cf12229180019d3"}
knowledge/graph-e1-raw-fp16-v2/receipts/000845.json CHANGED
@@ -1 +1 @@
1
- {"alignment_sha256":"3ceded4681fd0ab9ea75ac6ff9d36cfda21ad8ad2173cb80bb81045d07df3025","artifact_path":"knowledge/graph-e1-raw-fp16-v2/shards/000845.bin","bytes":251166912,"fp16_bitwise_roundtrip":true,"fp16_payload_sha256":"54157c71c9683200df98f199ec5c8212b1167378674fdeea15089d991bd632b3","identity":{"actual_teacher_hf_revision":"9ce79652c1590997c8a3c84c420721774c90e363","cache_identity":"563bac05358fb4cb449e2b125d62a250dabded66e1cbe972801626c79359464a","checkpoint_path":"checkpoints/gch-e419-full-seed42-20261023-r1/checkpoint_step_359851.pt","checkpoint_sha256":"bded20ccb9fe69496ec55ebe3f630cef3d811c610353cf94944d322249a18a05","config_fingerprint":"a53fc42d105997e949fabf74a98f5ddb69a706da590803abbc07fb3eb349793b","dataset_fingerprint":"ccb6c5b7f1bddec623cd94a9fc146a4d268f35eaab666459de6b911732d4a32b","dataset_revision":"a1adc9749e294ccff4eaac376de1c78ef0ea33ca","extraction_git_commit":"a1ab5d28bb49b91aa4aafd8758b1c6d6e0c2f3eb","extraction_plan_fingerprint":"b1baaaa70695701f9dbd63db323b42d174a87f527c07e21053fe0fbc2f4d4fab","graph_enabled":true,"implementation_sha256":{"knowledge_batch_benchmark.py":"d1820d06951789fb4f891a87c51cf2467f6b66942dac59a4b6f12621adedecf0","knowledge_batching.py":"79fad817fb34fd2a65f1934c96bbc46ed856cd3333d112bcedd970bd9eb2b51f","knowledge_cpu_benchmark.py":"7799132ca843857aa574fb2ec98a906b9181c6080de377c37fc6fbaff6bad7ae","knowledge_cpu_profile.py":"b38dee1918bfcf3fcc37aefd1fd3077a294d19b3994212c91778b1acb27d3cd6","knowledge_engineering_benchmark.py":"ca255b151a75fc5df6be9565c5834be662f7bdf03dfea4bb812fdcad750b362b","knowledge_extraction.py":"b93fd25bdcdda7590c67f6a91e5cd0919b26d1b40decd52c3c4e823aa9396c7a","knowledge_full_pipeline.py":"0aca81dbbd0581c193c18fece95e3c6e7337223d10bb226af2a33a93edd7ad7c","knowledge_group_publication.py":"4c6e68612e67dce7a233ef26c2e6680353c68ececbfe332add06a2db76080406","knowledge_inference.py":"a08d5816628c887d63c121f9c65d7a3cd2e826fe66a31cc206f9a2c61ca3741e","knowledge_monitor.py":"d5374952b8cedb0a52f4c5e04f490a108e9a48e1062e4fd22b14cd68aa7f3ebd","knowledge_network_benchmark.py":"1346b3b5c7f959b7faa7cada563f1953b2c036653f689c7e6c88e268f847884a","knowledge_pipeline.py":"a421283f5115e710a7a8eafaa0725a3b3a3d394086067afd85a77eeedf04decb","knowledge_prefetch.py":"2da9ba2f717128f4e8199f5fa58cdbea3004cd662f875c29e03aa647a803ea4d","knowledge_production.py":"198d46406f8dbd5c37c7d478bb6e381dbab0a17afa693af1df00105fb40dc2db","knowledge_production_publication.py":"c1be2b97a84f1dc2df74926504dc914bff8fdca547dfb04c3f35143ba6e73254","knowledge_publication.py":"94e206a5d82066c3bf24ee803eec681d09cbbaf58d9efa879632ea96fc638f4e","knowledge_retry.py":"90d7da0c4e41e9a52904a8dafce462bc394218da276b72d1b8306cd480d6e3b6","knowledge_runtime_bundle.py":"9119c0dd7c1113211caac100ed4d263a6cd189ca589cc44d8c2d33fc43a6310d","knowledge_shard.py":"353c615df196f7ae6e68fba10b4a0d780c960c26dbc97a87469f004969ed2716","knowledge_source_prefetch.py":"662e5ebd2c0f18261eb24926c71128bef47cf5c04907d42a6e1c96b4775ace7a","knowledge_staging.py":"04476f37b5283fb806a07fa33b323848110fd5e8d128b29601fc910607497cff","knowledge_storage.py":"75569fb81878f3a30d0695e370b7d0085372cb461ea57f08e05651a608e59f7c","knowledge_stream_benchmark.py":"58813bbab04756c9608e2fabbc6035a62320170675246dc321b8369c4099e087","knowledge_teacher.py":"a1a7c2a5f9d98dba272253629a6b8880509cbcc70f05768e0b16b8f5c9cb8f43","knowledge_transport.py":"8abe7a81aa627a73cfead513834f415ab686a85073ef894f92faca8059fb2c61"},"limitations":["Parent producer/provenance/license-scope evidence remains unverified under issues 161 and 171.","Cross-split, near-duplicate and benchmark leakage checks remain unverified.","Published source/build plan is incomplete; full payload checksums have not been independently reproduced.","Author-reported payload observations are not independently reproduced research acceptance."],"metadata_sha256":{"resolved_config.json":"66b5da6f3336597d52bb8ab2b819941040f1b84d44344a06801bf0a1ae477f78","run.json":"ce1e369cf3dd6dc204aec8c9ab98c8bda1121291683f059bf5b12c8112da90f0","streaming_identity.json":"eff0460e7b26ccea0bce87e21cc26d04627fea883c3aeaf03d22550c701502a7"},"pipeline_version":2,"production_contract":{"batch_size":1024,"group_size":8,"layout":"packed_zstd1","queue_depth":8,"shard_rows":131072,"source_prefetch_depth":2},"runtime":{"cuda":"13.0","gpu":"NVIDIA RTX PRO 6000 Blackwell Server Edition","numpy":"2.2.6","precision":"bf16","pyarrow":"21.0.0","python":"3.13.11","recurrent_precision":"fp32","torch":"2.11.0+cu130"},"schema":{"channel_order":["form:0:5","tone:0:6","boundary:0:1","case:0:2"],"channels":14,"dtype":"<f2","logits":"final_post_graph_raw","padding_policy":"source_mask_true_only","schema_version":"graph_e1_raw_fp16_v1","split":"train","task_variant":"T2_JOINT","unsupported_policy":"retain_row_empty_logits"},"sealed_test_accessed":false,"source_manifest_sha256":"be0b123332b94fdad66f4c8bc9eb7c9fed93596b053d83e43581fb04398a3492","source_train_files_sha256":"eb3c1b65b844e1081a3ecf79065c12d6bc2b6a341b01dbfdacf120e4fbe6f279","strict_state_restore":true,"teacher_git_commit":"ae0250338a1ce4ea51c980f523a7e084ff668510","teacher_parameter_count":4236728,"teacher_run_id":"gch-e419-full-seed42-20261023-r1"},"layout":"packed_zstd1","raw_count":131072,"row_end":110886912,"row_start":110755840,"sha256":"529eaadfc798d02cdb9188412dd871db863235cffc59cf1cacac5d08a0a41e01","shard":845,"state":"UPLOADED","supported_count":130918,"token_count":11604903,"unsupported_count":154}
 
1
+ {"alignment_sha256":"3ceded4681fd0ab9ea75ac6ff9d36cfda21ad8ad2173cb80bb81045d07df3025","artifact_path":"knowledge/graph-e1-raw-fp16-v2/shards/000845.bin","bytes":251166912,"fp16_bitwise_roundtrip":true,"fp16_payload_sha256":"54157c71c9683200df98f199ec5c8212b1167378674fdeea15089d991bd632b3","group_upload_seconds":39.59607261600104,"identity":{"actual_teacher_hf_revision":"9ce79652c1590997c8a3c84c420721774c90e363","cache_identity":"563bac05358fb4cb449e2b125d62a250dabded66e1cbe972801626c79359464a","checkpoint_path":"checkpoints/gch-e419-full-seed42-20261023-r1/checkpoint_step_359851.pt","checkpoint_sha256":"bded20ccb9fe69496ec55ebe3f630cef3d811c610353cf94944d322249a18a05","config_fingerprint":"a53fc42d105997e949fabf74a98f5ddb69a706da590803abbc07fb3eb349793b","dataset_fingerprint":"ccb6c5b7f1bddec623cd94a9fc146a4d268f35eaab666459de6b911732d4a32b","dataset_revision":"a1adc9749e294ccff4eaac376de1c78ef0ea33ca","extraction_git_commit":"a1ab5d28bb49b91aa4aafd8758b1c6d6e0c2f3eb","extraction_plan_fingerprint":"b1baaaa70695701f9dbd63db323b42d174a87f527c07e21053fe0fbc2f4d4fab","graph_enabled":true,"implementation_sha256":{"knowledge_batch_benchmark.py":"d1820d06951789fb4f891a87c51cf2467f6b66942dac59a4b6f12621adedecf0","knowledge_batching.py":"79fad817fb34fd2a65f1934c96bbc46ed856cd3333d112bcedd970bd9eb2b51f","knowledge_cpu_benchmark.py":"7799132ca843857aa574fb2ec98a906b9181c6080de377c37fc6fbaff6bad7ae","knowledge_cpu_profile.py":"b38dee1918bfcf3fcc37aefd1fd3077a294d19b3994212c91778b1acb27d3cd6","knowledge_engineering_benchmark.py":"ca255b151a75fc5df6be9565c5834be662f7bdf03dfea4bb812fdcad750b362b","knowledge_extraction.py":"b93fd25bdcdda7590c67f6a91e5cd0919b26d1b40decd52c3c4e823aa9396c7a","knowledge_full_pipeline.py":"0aca81dbbd0581c193c18fece95e3c6e7337223d10bb226af2a33a93edd7ad7c","knowledge_group_publication.py":"4c6e68612e67dce7a233ef26c2e6680353c68ececbfe332add06a2db76080406","knowledge_inference.py":"a08d5816628c887d63c121f9c65d7a3cd2e826fe66a31cc206f9a2c61ca3741e","knowledge_monitor.py":"d5374952b8cedb0a52f4c5e04f490a108e9a48e1062e4fd22b14cd68aa7f3ebd","knowledge_network_benchmark.py":"1346b3b5c7f959b7faa7cada563f1953b2c036653f689c7e6c88e268f847884a","knowledge_pipeline.py":"a421283f5115e710a7a8eafaa0725a3b3a3d394086067afd85a77eeedf04decb","knowledge_prefetch.py":"2da9ba2f717128f4e8199f5fa58cdbea3004cd662f875c29e03aa647a803ea4d","knowledge_production.py":"198d46406f8dbd5c37c7d478bb6e381dbab0a17afa693af1df00105fb40dc2db","knowledge_production_publication.py":"c1be2b97a84f1dc2df74926504dc914bff8fdca547dfb04c3f35143ba6e73254","knowledge_publication.py":"94e206a5d82066c3bf24ee803eec681d09cbbaf58d9efa879632ea96fc638f4e","knowledge_retry.py":"90d7da0c4e41e9a52904a8dafce462bc394218da276b72d1b8306cd480d6e3b6","knowledge_runtime_bundle.py":"9119c0dd7c1113211caac100ed4d263a6cd189ca589cc44d8c2d33fc43a6310d","knowledge_shard.py":"353c615df196f7ae6e68fba10b4a0d780c960c26dbc97a87469f004969ed2716","knowledge_source_prefetch.py":"662e5ebd2c0f18261eb24926c71128bef47cf5c04907d42a6e1c96b4775ace7a","knowledge_staging.py":"04476f37b5283fb806a07fa33b323848110fd5e8d128b29601fc910607497cff","knowledge_storage.py":"75569fb81878f3a30d0695e370b7d0085372cb461ea57f08e05651a608e59f7c","knowledge_stream_benchmark.py":"58813bbab04756c9608e2fabbc6035a62320170675246dc321b8369c4099e087","knowledge_teacher.py":"a1a7c2a5f9d98dba272253629a6b8880509cbcc70f05768e0b16b8f5c9cb8f43","knowledge_transport.py":"8abe7a81aa627a73cfead513834f415ab686a85073ef894f92faca8059fb2c61"},"limitations":["Parent producer/provenance/license-scope evidence remains unverified under issues 161 and 171.","Cross-split, near-duplicate and benchmark leakage checks remain unverified.","Published source/build plan is incomplete; full payload checksums have not been independently reproduced.","Author-reported payload observations are not independently reproduced research acceptance."],"metadata_sha256":{"resolved_config.json":"66b5da6f3336597d52bb8ab2b819941040f1b84d44344a06801bf0a1ae477f78","run.json":"ce1e369cf3dd6dc204aec8c9ab98c8bda1121291683f059bf5b12c8112da90f0","streaming_identity.json":"eff0460e7b26ccea0bce87e21cc26d04627fea883c3aeaf03d22550c701502a7"},"pipeline_version":2,"production_contract":{"batch_size":1024,"group_size":8,"layout":"packed_zstd1","queue_depth":8,"shard_rows":131072,"source_prefetch_depth":2},"runtime":{"cuda":"13.0","gpu":"NVIDIA RTX PRO 6000 Blackwell Server Edition","numpy":"2.2.6","precision":"bf16","pyarrow":"21.0.0","python":"3.13.11","recurrent_precision":"fp32","torch":"2.11.0+cu130"},"schema":{"channel_order":["form:0:5","tone:0:6","boundary:0:1","case:0:2"],"channels":14,"dtype":"<f2","logits":"final_post_graph_raw","padding_policy":"source_mask_true_only","schema_version":"graph_e1_raw_fp16_v1","split":"train","task_variant":"T2_JOINT","unsupported_policy":"retain_row_empty_logits"},"sealed_test_accessed":false,"source_manifest_sha256":"be0b123332b94fdad66f4c8bc9eb7c9fed93596b053d83e43581fb04398a3492","source_train_files_sha256":"eb3c1b65b844e1081a3ecf79065c12d6bc2b6a341b01dbfdacf120e4fbe6f279","strict_state_restore":true,"teacher_git_commit":"ae0250338a1ce4ea51c980f523a7e084ff668510","teacher_parameter_count":4236728,"teacher_run_id":"gch-e419-full-seed42-20261023-r1"},"layout":"packed_zstd1","raw_count":131072,"remote_bytes":251166912,"remote_verified_sha256":"529eaadfc798d02cdb9188412dd871db863235cffc59cf1cacac5d08a0a41e01","remote_verify_seconds":11.291719582000951,"row_end":110886912,"row_start":110755840,"sha256":"529eaadfc798d02cdb9188412dd871db863235cffc59cf1cacac5d08a0a41e01","shard":845,"state":"COMPLETE","supported_count":130918,"token_count":11604903,"unsupported_count":154,"upload_revision":"5dfbee90153dc9175be785405cf12229180019d3"}
knowledge/graph-e1-raw-fp16-v2/receipts/000846.json CHANGED
@@ -1 +1 @@
1
- {"alignment_sha256":"628f97838f102d65aa7591b371eb0910a7ca0bc8e2af36c9c08c214dcc2a2b6e","artifact_path":"knowledge/graph-e1-raw-fp16-v2/shards/000846.bin","bytes":251302571,"fp16_bitwise_roundtrip":true,"fp16_payload_sha256":"1a232b400e7c01f23e73d1805c8e724002a8e540883dcf15ec7d39bd33fb26dd","identity":{"actual_teacher_hf_revision":"9ce79652c1590997c8a3c84c420721774c90e363","cache_identity":"563bac05358fb4cb449e2b125d62a250dabded66e1cbe972801626c79359464a","checkpoint_path":"checkpoints/gch-e419-full-seed42-20261023-r1/checkpoint_step_359851.pt","checkpoint_sha256":"bded20ccb9fe69496ec55ebe3f630cef3d811c610353cf94944d322249a18a05","config_fingerprint":"a53fc42d105997e949fabf74a98f5ddb69a706da590803abbc07fb3eb349793b","dataset_fingerprint":"ccb6c5b7f1bddec623cd94a9fc146a4d268f35eaab666459de6b911732d4a32b","dataset_revision":"a1adc9749e294ccff4eaac376de1c78ef0ea33ca","extraction_git_commit":"a1ab5d28bb49b91aa4aafd8758b1c6d6e0c2f3eb","extraction_plan_fingerprint":"b1baaaa70695701f9dbd63db323b42d174a87f527c07e21053fe0fbc2f4d4fab","graph_enabled":true,"implementation_sha256":{"knowledge_batch_benchmark.py":"d1820d06951789fb4f891a87c51cf2467f6b66942dac59a4b6f12621adedecf0","knowledge_batching.py":"79fad817fb34fd2a65f1934c96bbc46ed856cd3333d112bcedd970bd9eb2b51f","knowledge_cpu_benchmark.py":"7799132ca843857aa574fb2ec98a906b9181c6080de377c37fc6fbaff6bad7ae","knowledge_cpu_profile.py":"b38dee1918bfcf3fcc37aefd1fd3077a294d19b3994212c91778b1acb27d3cd6","knowledge_engineering_benchmark.py":"ca255b151a75fc5df6be9565c5834be662f7bdf03dfea4bb812fdcad750b362b","knowledge_extraction.py":"b93fd25bdcdda7590c67f6a91e5cd0919b26d1b40decd52c3c4e823aa9396c7a","knowledge_full_pipeline.py":"0aca81dbbd0581c193c18fece95e3c6e7337223d10bb226af2a33a93edd7ad7c","knowledge_group_publication.py":"4c6e68612e67dce7a233ef26c2e6680353c68ececbfe332add06a2db76080406","knowledge_inference.py":"a08d5816628c887d63c121f9c65d7a3cd2e826fe66a31cc206f9a2c61ca3741e","knowledge_monitor.py":"d5374952b8cedb0a52f4c5e04f490a108e9a48e1062e4fd22b14cd68aa7f3ebd","knowledge_network_benchmark.py":"1346b3b5c7f959b7faa7cada563f1953b2c036653f689c7e6c88e268f847884a","knowledge_pipeline.py":"a421283f5115e710a7a8eafaa0725a3b3a3d394086067afd85a77eeedf04decb","knowledge_prefetch.py":"2da9ba2f717128f4e8199f5fa58cdbea3004cd662f875c29e03aa647a803ea4d","knowledge_production.py":"198d46406f8dbd5c37c7d478bb6e381dbab0a17afa693af1df00105fb40dc2db","knowledge_production_publication.py":"c1be2b97a84f1dc2df74926504dc914bff8fdca547dfb04c3f35143ba6e73254","knowledge_publication.py":"94e206a5d82066c3bf24ee803eec681d09cbbaf58d9efa879632ea96fc638f4e","knowledge_retry.py":"90d7da0c4e41e9a52904a8dafce462bc394218da276b72d1b8306cd480d6e3b6","knowledge_runtime_bundle.py":"9119c0dd7c1113211caac100ed4d263a6cd189ca589cc44d8c2d33fc43a6310d","knowledge_shard.py":"353c615df196f7ae6e68fba10b4a0d780c960c26dbc97a87469f004969ed2716","knowledge_source_prefetch.py":"662e5ebd2c0f18261eb24926c71128bef47cf5c04907d42a6e1c96b4775ace7a","knowledge_staging.py":"04476f37b5283fb806a07fa33b323848110fd5e8d128b29601fc910607497cff","knowledge_storage.py":"75569fb81878f3a30d0695e370b7d0085372cb461ea57f08e05651a608e59f7c","knowledge_stream_benchmark.py":"58813bbab04756c9608e2fabbc6035a62320170675246dc321b8369c4099e087","knowledge_teacher.py":"a1a7c2a5f9d98dba272253629a6b8880509cbcc70f05768e0b16b8f5c9cb8f43","knowledge_transport.py":"8abe7a81aa627a73cfead513834f415ab686a85073ef894f92faca8059fb2c61"},"limitations":["Parent producer/provenance/license-scope evidence remains unverified under issues 161 and 171.","Cross-split, near-duplicate and benchmark leakage checks remain unverified.","Published source/build plan is incomplete; full payload checksums have not been independently reproduced.","Author-reported payload observations are not independently reproduced research acceptance."],"metadata_sha256":{"resolved_config.json":"66b5da6f3336597d52bb8ab2b819941040f1b84d44344a06801bf0a1ae477f78","run.json":"ce1e369cf3dd6dc204aec8c9ab98c8bda1121291683f059bf5b12c8112da90f0","streaming_identity.json":"eff0460e7b26ccea0bce87e21cc26d04627fea883c3aeaf03d22550c701502a7"},"pipeline_version":2,"production_contract":{"batch_size":1024,"group_size":8,"layout":"packed_zstd1","queue_depth":8,"shard_rows":131072,"source_prefetch_depth":2},"runtime":{"cuda":"13.0","gpu":"NVIDIA RTX PRO 6000 Blackwell Server Edition","numpy":"2.2.6","precision":"bf16","pyarrow":"21.0.0","python":"3.13.11","recurrent_precision":"fp32","torch":"2.11.0+cu130"},"schema":{"channel_order":["form:0:5","tone:0:6","boundary:0:1","case:0:2"],"channels":14,"dtype":"<f2","logits":"final_post_graph_raw","padding_policy":"source_mask_true_only","schema_version":"graph_e1_raw_fp16_v1","split":"train","task_variant":"T2_JOINT","unsupported_policy":"retain_row_empty_logits"},"sealed_test_accessed":false,"source_manifest_sha256":"be0b123332b94fdad66f4c8bc9eb7c9fed93596b053d83e43581fb04398a3492","source_train_files_sha256":"eb3c1b65b844e1081a3ecf79065c12d6bc2b6a341b01dbfdacf120e4fbe6f279","strict_state_restore":true,"teacher_git_commit":"ae0250338a1ce4ea51c980f523a7e084ff668510","teacher_parameter_count":4236728,"teacher_run_id":"gch-e419-full-seed42-20261023-r1"},"layout":"packed_zstd1","raw_count":131072,"row_end":111017984,"row_start":110886912,"sha256":"00e07e711daa2c054dd126a1f334de086d9d3e7d8a76056876099cf44c10a7f2","shard":846,"state":"UPLOADED","supported_count":130930,"token_count":11611288,"unsupported_count":142}
 
1
+ {"alignment_sha256":"628f97838f102d65aa7591b371eb0910a7ca0bc8e2af36c9c08c214dcc2a2b6e","artifact_path":"knowledge/graph-e1-raw-fp16-v2/shards/000846.bin","bytes":251302571,"fp16_bitwise_roundtrip":true,"fp16_payload_sha256":"1a232b400e7c01f23e73d1805c8e724002a8e540883dcf15ec7d39bd33fb26dd","group_upload_seconds":39.59607261600104,"identity":{"actual_teacher_hf_revision":"9ce79652c1590997c8a3c84c420721774c90e363","cache_identity":"563bac05358fb4cb449e2b125d62a250dabded66e1cbe972801626c79359464a","checkpoint_path":"checkpoints/gch-e419-full-seed42-20261023-r1/checkpoint_step_359851.pt","checkpoint_sha256":"bded20ccb9fe69496ec55ebe3f630cef3d811c610353cf94944d322249a18a05","config_fingerprint":"a53fc42d105997e949fabf74a98f5ddb69a706da590803abbc07fb3eb349793b","dataset_fingerprint":"ccb6c5b7f1bddec623cd94a9fc146a4d268f35eaab666459de6b911732d4a32b","dataset_revision":"a1adc9749e294ccff4eaac376de1c78ef0ea33ca","extraction_git_commit":"a1ab5d28bb49b91aa4aafd8758b1c6d6e0c2f3eb","extraction_plan_fingerprint":"b1baaaa70695701f9dbd63db323b42d174a87f527c07e21053fe0fbc2f4d4fab","graph_enabled":true,"implementation_sha256":{"knowledge_batch_benchmark.py":"d1820d06951789fb4f891a87c51cf2467f6b66942dac59a4b6f12621adedecf0","knowledge_batching.py":"79fad817fb34fd2a65f1934c96bbc46ed856cd3333d112bcedd970bd9eb2b51f","knowledge_cpu_benchmark.py":"7799132ca843857aa574fb2ec98a906b9181c6080de377c37fc6fbaff6bad7ae","knowledge_cpu_profile.py":"b38dee1918bfcf3fcc37aefd1fd3077a294d19b3994212c91778b1acb27d3cd6","knowledge_engineering_benchmark.py":"ca255b151a75fc5df6be9565c5834be662f7bdf03dfea4bb812fdcad750b362b","knowledge_extraction.py":"b93fd25bdcdda7590c67f6a91e5cd0919b26d1b40decd52c3c4e823aa9396c7a","knowledge_full_pipeline.py":"0aca81dbbd0581c193c18fece95e3c6e7337223d10bb226af2a33a93edd7ad7c","knowledge_group_publication.py":"4c6e68612e67dce7a233ef26c2e6680353c68ececbfe332add06a2db76080406","knowledge_inference.py":"a08d5816628c887d63c121f9c65d7a3cd2e826fe66a31cc206f9a2c61ca3741e","knowledge_monitor.py":"d5374952b8cedb0a52f4c5e04f490a108e9a48e1062e4fd22b14cd68aa7f3ebd","knowledge_network_benchmark.py":"1346b3b5c7f959b7faa7cada563f1953b2c036653f689c7e6c88e268f847884a","knowledge_pipeline.py":"a421283f5115e710a7a8eafaa0725a3b3a3d394086067afd85a77eeedf04decb","knowledge_prefetch.py":"2da9ba2f717128f4e8199f5fa58cdbea3004cd662f875c29e03aa647a803ea4d","knowledge_production.py":"198d46406f8dbd5c37c7d478bb6e381dbab0a17afa693af1df00105fb40dc2db","knowledge_production_publication.py":"c1be2b97a84f1dc2df74926504dc914bff8fdca547dfb04c3f35143ba6e73254","knowledge_publication.py":"94e206a5d82066c3bf24ee803eec681d09cbbaf58d9efa879632ea96fc638f4e","knowledge_retry.py":"90d7da0c4e41e9a52904a8dafce462bc394218da276b72d1b8306cd480d6e3b6","knowledge_runtime_bundle.py":"9119c0dd7c1113211caac100ed4d263a6cd189ca589cc44d8c2d33fc43a6310d","knowledge_shard.py":"353c615df196f7ae6e68fba10b4a0d780c960c26dbc97a87469f004969ed2716","knowledge_source_prefetch.py":"662e5ebd2c0f18261eb24926c71128bef47cf5c04907d42a6e1c96b4775ace7a","knowledge_staging.py":"04476f37b5283fb806a07fa33b323848110fd5e8d128b29601fc910607497cff","knowledge_storage.py":"75569fb81878f3a30d0695e370b7d0085372cb461ea57f08e05651a608e59f7c","knowledge_stream_benchmark.py":"58813bbab04756c9608e2fabbc6035a62320170675246dc321b8369c4099e087","knowledge_teacher.py":"a1a7c2a5f9d98dba272253629a6b8880509cbcc70f05768e0b16b8f5c9cb8f43","knowledge_transport.py":"8abe7a81aa627a73cfead513834f415ab686a85073ef894f92faca8059fb2c61"},"limitations":["Parent producer/provenance/license-scope evidence remains unverified under issues 161 and 171.","Cross-split, near-duplicate and benchmark leakage checks remain unverified.","Published source/build plan is incomplete; full payload checksums have not been independently reproduced.","Author-reported payload observations are not independently reproduced research acceptance."],"metadata_sha256":{"resolved_config.json":"66b5da6f3336597d52bb8ab2b819941040f1b84d44344a06801bf0a1ae477f78","run.json":"ce1e369cf3dd6dc204aec8c9ab98c8bda1121291683f059bf5b12c8112da90f0","streaming_identity.json":"eff0460e7b26ccea0bce87e21cc26d04627fea883c3aeaf03d22550c701502a7"},"pipeline_version":2,"production_contract":{"batch_size":1024,"group_size":8,"layout":"packed_zstd1","queue_depth":8,"shard_rows":131072,"source_prefetch_depth":2},"runtime":{"cuda":"13.0","gpu":"NVIDIA RTX PRO 6000 Blackwell Server Edition","numpy":"2.2.6","precision":"bf16","pyarrow":"21.0.0","python":"3.13.11","recurrent_precision":"fp32","torch":"2.11.0+cu130"},"schema":{"channel_order":["form:0:5","tone:0:6","boundary:0:1","case:0:2"],"channels":14,"dtype":"<f2","logits":"final_post_graph_raw","padding_policy":"source_mask_true_only","schema_version":"graph_e1_raw_fp16_v1","split":"train","task_variant":"T2_JOINT","unsupported_policy":"retain_row_empty_logits"},"sealed_test_accessed":false,"source_manifest_sha256":"be0b123332b94fdad66f4c8bc9eb7c9fed93596b053d83e43581fb04398a3492","source_train_files_sha256":"eb3c1b65b844e1081a3ecf79065c12d6bc2b6a341b01dbfdacf120e4fbe6f279","strict_state_restore":true,"teacher_git_commit":"ae0250338a1ce4ea51c980f523a7e084ff668510","teacher_parameter_count":4236728,"teacher_run_id":"gch-e419-full-seed42-20261023-r1"},"layout":"packed_zstd1","raw_count":131072,"remote_bytes":251302571,"remote_verified_sha256":"00e07e711daa2c054dd126a1f334de086d9d3e7d8a76056876099cf44c10a7f2","remote_verify_seconds":4.894180035000318,"row_end":111017984,"row_start":110886912,"sha256":"00e07e711daa2c054dd126a1f334de086d9d3e7d8a76056876099cf44c10a7f2","shard":846,"state":"COMPLETE","supported_count":130930,"token_count":11611288,"unsupported_count":142,"upload_revision":"5dfbee90153dc9175be785405cf12229180019d3"}
knowledge/graph-e1-raw-fp16-v2/receipts/000847.json CHANGED
@@ -1 +1 @@
1
- {"alignment_sha256":"10d35c572fc7605bd6c4820fb4604666e9a3a029f0c3ec3d7795c53d76c8a8ca","artifact_path":"knowledge/graph-e1-raw-fp16-v2/shards/000847.bin","bytes":252380396,"fp16_bitwise_roundtrip":true,"fp16_payload_sha256":"50b44f106380971864be969dda6be381a68ce5dfa7af856b5a5da761d4cb394d","identity":{"actual_teacher_hf_revision":"9ce79652c1590997c8a3c84c420721774c90e363","cache_identity":"563bac05358fb4cb449e2b125d62a250dabded66e1cbe972801626c79359464a","checkpoint_path":"checkpoints/gch-e419-full-seed42-20261023-r1/checkpoint_step_359851.pt","checkpoint_sha256":"bded20ccb9fe69496ec55ebe3f630cef3d811c610353cf94944d322249a18a05","config_fingerprint":"a53fc42d105997e949fabf74a98f5ddb69a706da590803abbc07fb3eb349793b","dataset_fingerprint":"ccb6c5b7f1bddec623cd94a9fc146a4d268f35eaab666459de6b911732d4a32b","dataset_revision":"a1adc9749e294ccff4eaac376de1c78ef0ea33ca","extraction_git_commit":"a1ab5d28bb49b91aa4aafd8758b1c6d6e0c2f3eb","extraction_plan_fingerprint":"b1baaaa70695701f9dbd63db323b42d174a87f527c07e21053fe0fbc2f4d4fab","graph_enabled":true,"implementation_sha256":{"knowledge_batch_benchmark.py":"d1820d06951789fb4f891a87c51cf2467f6b66942dac59a4b6f12621adedecf0","knowledge_batching.py":"79fad817fb34fd2a65f1934c96bbc46ed856cd3333d112bcedd970bd9eb2b51f","knowledge_cpu_benchmark.py":"7799132ca843857aa574fb2ec98a906b9181c6080de377c37fc6fbaff6bad7ae","knowledge_cpu_profile.py":"b38dee1918bfcf3fcc37aefd1fd3077a294d19b3994212c91778b1acb27d3cd6","knowledge_engineering_benchmark.py":"ca255b151a75fc5df6be9565c5834be662f7bdf03dfea4bb812fdcad750b362b","knowledge_extraction.py":"b93fd25bdcdda7590c67f6a91e5cd0919b26d1b40decd52c3c4e823aa9396c7a","knowledge_full_pipeline.py":"0aca81dbbd0581c193c18fece95e3c6e7337223d10bb226af2a33a93edd7ad7c","knowledge_group_publication.py":"4c6e68612e67dce7a233ef26c2e6680353c68ececbfe332add06a2db76080406","knowledge_inference.py":"a08d5816628c887d63c121f9c65d7a3cd2e826fe66a31cc206f9a2c61ca3741e","knowledge_monitor.py":"d5374952b8cedb0a52f4c5e04f490a108e9a48e1062e4fd22b14cd68aa7f3ebd","knowledge_network_benchmark.py":"1346b3b5c7f959b7faa7cada563f1953b2c036653f689c7e6c88e268f847884a","knowledge_pipeline.py":"a421283f5115e710a7a8eafaa0725a3b3a3d394086067afd85a77eeedf04decb","knowledge_prefetch.py":"2da9ba2f717128f4e8199f5fa58cdbea3004cd662f875c29e03aa647a803ea4d","knowledge_production.py":"198d46406f8dbd5c37c7d478bb6e381dbab0a17afa693af1df00105fb40dc2db","knowledge_production_publication.py":"c1be2b97a84f1dc2df74926504dc914bff8fdca547dfb04c3f35143ba6e73254","knowledge_publication.py":"94e206a5d82066c3bf24ee803eec681d09cbbaf58d9efa879632ea96fc638f4e","knowledge_retry.py":"90d7da0c4e41e9a52904a8dafce462bc394218da276b72d1b8306cd480d6e3b6","knowledge_runtime_bundle.py":"9119c0dd7c1113211caac100ed4d263a6cd189ca589cc44d8c2d33fc43a6310d","knowledge_shard.py":"353c615df196f7ae6e68fba10b4a0d780c960c26dbc97a87469f004969ed2716","knowledge_source_prefetch.py":"662e5ebd2c0f18261eb24926c71128bef47cf5c04907d42a6e1c96b4775ace7a","knowledge_staging.py":"04476f37b5283fb806a07fa33b323848110fd5e8d128b29601fc910607497cff","knowledge_storage.py":"75569fb81878f3a30d0695e370b7d0085372cb461ea57f08e05651a608e59f7c","knowledge_stream_benchmark.py":"58813bbab04756c9608e2fabbc6035a62320170675246dc321b8369c4099e087","knowledge_teacher.py":"a1a7c2a5f9d98dba272253629a6b8880509cbcc70f05768e0b16b8f5c9cb8f43","knowledge_transport.py":"8abe7a81aa627a73cfead513834f415ab686a85073ef894f92faca8059fb2c61"},"limitations":["Parent producer/provenance/license-scope evidence remains unverified under issues 161 and 171.","Cross-split, near-duplicate and benchmark leakage checks remain unverified.","Published source/build plan is incomplete; full payload checksums have not been independently reproduced.","Author-reported payload observations are not independently reproduced research acceptance."],"metadata_sha256":{"resolved_config.json":"66b5da6f3336597d52bb8ab2b819941040f1b84d44344a06801bf0a1ae477f78","run.json":"ce1e369cf3dd6dc204aec8c9ab98c8bda1121291683f059bf5b12c8112da90f0","streaming_identity.json":"eff0460e7b26ccea0bce87e21cc26d04627fea883c3aeaf03d22550c701502a7"},"pipeline_version":2,"production_contract":{"batch_size":1024,"group_size":8,"layout":"packed_zstd1","queue_depth":8,"shard_rows":131072,"source_prefetch_depth":2},"runtime":{"cuda":"13.0","gpu":"NVIDIA RTX PRO 6000 Blackwell Server Edition","numpy":"2.2.6","precision":"bf16","pyarrow":"21.0.0","python":"3.13.11","recurrent_precision":"fp32","torch":"2.11.0+cu130"},"schema":{"channel_order":["form:0:5","tone:0:6","boundary:0:1","case:0:2"],"channels":14,"dtype":"<f2","logits":"final_post_graph_raw","padding_policy":"source_mask_true_only","schema_version":"graph_e1_raw_fp16_v1","split":"train","task_variant":"T2_JOINT","unsupported_policy":"retain_row_empty_logits"},"sealed_test_accessed":false,"source_manifest_sha256":"be0b123332b94fdad66f4c8bc9eb7c9fed93596b053d83e43581fb04398a3492","source_train_files_sha256":"eb3c1b65b844e1081a3ecf79065c12d6bc2b6a341b01dbfdacf120e4fbe6f279","strict_state_restore":true,"teacher_git_commit":"ae0250338a1ce4ea51c980f523a7e084ff668510","teacher_parameter_count":4236728,"teacher_run_id":"gch-e419-full-seed42-20261023-r1"},"layout":"packed_zstd1","raw_count":131072,"row_end":111149056,"row_start":111017984,"sha256":"d95c30b6a5241aca5533e49cbea120f79dc95329d029a9e90bdc666290ca222b","shard":847,"state":"UPLOADED","supported_count":130911,"token_count":11661582,"unsupported_count":161}
 
1
+ {"alignment_sha256":"10d35c572fc7605bd6c4820fb4604666e9a3a029f0c3ec3d7795c53d76c8a8ca","artifact_path":"knowledge/graph-e1-raw-fp16-v2/shards/000847.bin","bytes":252380396,"fp16_bitwise_roundtrip":true,"fp16_payload_sha256":"50b44f106380971864be969dda6be381a68ce5dfa7af856b5a5da761d4cb394d","group_upload_seconds":39.59607261600104,"identity":{"actual_teacher_hf_revision":"9ce79652c1590997c8a3c84c420721774c90e363","cache_identity":"563bac05358fb4cb449e2b125d62a250dabded66e1cbe972801626c79359464a","checkpoint_path":"checkpoints/gch-e419-full-seed42-20261023-r1/checkpoint_step_359851.pt","checkpoint_sha256":"bded20ccb9fe69496ec55ebe3f630cef3d811c610353cf94944d322249a18a05","config_fingerprint":"a53fc42d105997e949fabf74a98f5ddb69a706da590803abbc07fb3eb349793b","dataset_fingerprint":"ccb6c5b7f1bddec623cd94a9fc146a4d268f35eaab666459de6b911732d4a32b","dataset_revision":"a1adc9749e294ccff4eaac376de1c78ef0ea33ca","extraction_git_commit":"a1ab5d28bb49b91aa4aafd8758b1c6d6e0c2f3eb","extraction_plan_fingerprint":"b1baaaa70695701f9dbd63db323b42d174a87f527c07e21053fe0fbc2f4d4fab","graph_enabled":true,"implementation_sha256":{"knowledge_batch_benchmark.py":"d1820d06951789fb4f891a87c51cf2467f6b66942dac59a4b6f12621adedecf0","knowledge_batching.py":"79fad817fb34fd2a65f1934c96bbc46ed856cd3333d112bcedd970bd9eb2b51f","knowledge_cpu_benchmark.py":"7799132ca843857aa574fb2ec98a906b9181c6080de377c37fc6fbaff6bad7ae","knowledge_cpu_profile.py":"b38dee1918bfcf3fcc37aefd1fd3077a294d19b3994212c91778b1acb27d3cd6","knowledge_engineering_benchmark.py":"ca255b151a75fc5df6be9565c5834be662f7bdf03dfea4bb812fdcad750b362b","knowledge_extraction.py":"b93fd25bdcdda7590c67f6a91e5cd0919b26d1b40decd52c3c4e823aa9396c7a","knowledge_full_pipeline.py":"0aca81dbbd0581c193c18fece95e3c6e7337223d10bb226af2a33a93edd7ad7c","knowledge_group_publication.py":"4c6e68612e67dce7a233ef26c2e6680353c68ececbfe332add06a2db76080406","knowledge_inference.py":"a08d5816628c887d63c121f9c65d7a3cd2e826fe66a31cc206f9a2c61ca3741e","knowledge_monitor.py":"d5374952b8cedb0a52f4c5e04f490a108e9a48e1062e4fd22b14cd68aa7f3ebd","knowledge_network_benchmark.py":"1346b3b5c7f959b7faa7cada563f1953b2c036653f689c7e6c88e268f847884a","knowledge_pipeline.py":"a421283f5115e710a7a8eafaa0725a3b3a3d394086067afd85a77eeedf04decb","knowledge_prefetch.py":"2da9ba2f717128f4e8199f5fa58cdbea3004cd662f875c29e03aa647a803ea4d","knowledge_production.py":"198d46406f8dbd5c37c7d478bb6e381dbab0a17afa693af1df00105fb40dc2db","knowledge_production_publication.py":"c1be2b97a84f1dc2df74926504dc914bff8fdca547dfb04c3f35143ba6e73254","knowledge_publication.py":"94e206a5d82066c3bf24ee803eec681d09cbbaf58d9efa879632ea96fc638f4e","knowledge_retry.py":"90d7da0c4e41e9a52904a8dafce462bc394218da276b72d1b8306cd480d6e3b6","knowledge_runtime_bundle.py":"9119c0dd7c1113211caac100ed4d263a6cd189ca589cc44d8c2d33fc43a6310d","knowledge_shard.py":"353c615df196f7ae6e68fba10b4a0d780c960c26dbc97a87469f004969ed2716","knowledge_source_prefetch.py":"662e5ebd2c0f18261eb24926c71128bef47cf5c04907d42a6e1c96b4775ace7a","knowledge_staging.py":"04476f37b5283fb806a07fa33b323848110fd5e8d128b29601fc910607497cff","knowledge_storage.py":"75569fb81878f3a30d0695e370b7d0085372cb461ea57f08e05651a608e59f7c","knowledge_stream_benchmark.py":"58813bbab04756c9608e2fabbc6035a62320170675246dc321b8369c4099e087","knowledge_teacher.py":"a1a7c2a5f9d98dba272253629a6b8880509cbcc70f05768e0b16b8f5c9cb8f43","knowledge_transport.py":"8abe7a81aa627a73cfead513834f415ab686a85073ef894f92faca8059fb2c61"},"limitations":["Parent producer/provenance/license-scope evidence remains unverified under issues 161 and 171.","Cross-split, near-duplicate and benchmark leakage checks remain unverified.","Published source/build plan is incomplete; full payload checksums have not been independently reproduced.","Author-reported payload observations are not independently reproduced research acceptance."],"metadata_sha256":{"resolved_config.json":"66b5da6f3336597d52bb8ab2b819941040f1b84d44344a06801bf0a1ae477f78","run.json":"ce1e369cf3dd6dc204aec8c9ab98c8bda1121291683f059bf5b12c8112da90f0","streaming_identity.json":"eff0460e7b26ccea0bce87e21cc26d04627fea883c3aeaf03d22550c701502a7"},"pipeline_version":2,"production_contract":{"batch_size":1024,"group_size":8,"layout":"packed_zstd1","queue_depth":8,"shard_rows":131072,"source_prefetch_depth":2},"runtime":{"cuda":"13.0","gpu":"NVIDIA RTX PRO 6000 Blackwell Server Edition","numpy":"2.2.6","precision":"bf16","pyarrow":"21.0.0","python":"3.13.11","recurrent_precision":"fp32","torch":"2.11.0+cu130"},"schema":{"channel_order":["form:0:5","tone:0:6","boundary:0:1","case:0:2"],"channels":14,"dtype":"<f2","logits":"final_post_graph_raw","padding_policy":"source_mask_true_only","schema_version":"graph_e1_raw_fp16_v1","split":"train","task_variant":"T2_JOINT","unsupported_policy":"retain_row_empty_logits"},"sealed_test_accessed":false,"source_manifest_sha256":"be0b123332b94fdad66f4c8bc9eb7c9fed93596b053d83e43581fb04398a3492","source_train_files_sha256":"eb3c1b65b844e1081a3ecf79065c12d6bc2b6a341b01dbfdacf120e4fbe6f279","strict_state_restore":true,"teacher_git_commit":"ae0250338a1ce4ea51c980f523a7e084ff668510","teacher_parameter_count":4236728,"teacher_run_id":"gch-e419-full-seed42-20261023-r1"},"layout":"packed_zstd1","raw_count":131072,"remote_bytes":252380396,"remote_verified_sha256":"d95c30b6a5241aca5533e49cbea120f79dc95329d029a9e90bdc666290ca222b","remote_verify_seconds":18.481480246999126,"row_end":111149056,"row_start":111017984,"sha256":"d95c30b6a5241aca5533e49cbea120f79dc95329d029a9e90bdc666290ca222b","shard":847,"state":"COMPLETE","supported_count":130911,"token_count":11661582,"unsupported_count":161,"upload_revision":"5dfbee90153dc9175be785405cf12229180019d3"}