{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:V7OBQDXSYDQ4V6VSF4OT7MQCW5","short_pith_number":"pith:V7OBQDXS","canonical_record":{"source":{"id":"2502.15758","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-12T14:56:46Z","cross_cats_sorted":["cs.CY","cs.SE"],"title_canon_sha256":"bdfae0b2176182e59587046476de310c78650f3ce1393871567a0d9eac929343","abstract_canon_sha256":"34fadc431ec477c0525b9c9fcd6700865bfc9918ab3a959ddb7f1a1dd7e1aa50"},"schema_version":"1.0"},"canonical_sha256":"afdc180ef2c0e1cafab22f1d3fb202b779f7dc4a79708ebf7d850b08171f52c6","source":{"kind":"arxiv","id":"2502.15758","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.15758","created_at":"2026-07-05T10:19:40Z"},{"alias_kind":"arxiv_version","alias_value":"2502.15758v1","created_at":"2026-07-05T10:19:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.15758","created_at":"2026-07-05T10:19:40Z"},{"alias_kind":"pith_short_12","alias_value":"V7OBQDXSYDQ4","created_at":"2026-07-05T10:19:40Z"},{"alias_kind":"pith_short_16","alias_value":"V7OBQDXSYDQ4V6VS","created_at":"2026-07-05T10:19:40Z"},{"alias_kind":"pith_short_8","alias_value":"V7OBQDXS","created_at":"2026-07-05T10:19:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:V7OBQDXSYDQ4V6VSF4OT7MQCW5","target":"record","payload":{"canonical_record":{"source":{"id":"2502.15758","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-12T14:56:46Z","cross_cats_sorted":["cs.CY","cs.SE"],"title_canon_sha256":"bdfae0b2176182e59587046476de310c78650f3ce1393871567a0d9eac929343","abstract_canon_sha256":"34fadc431ec477c0525b9c9fcd6700865bfc9918ab3a959ddb7f1a1dd7e1aa50"},"schema_version":"1.0"},"canonical_sha256":"afdc180ef2c0e1cafab22f1d3fb202b779f7dc4a79708ebf7d850b08171f52c6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:19:40.064229Z","signature_b64":"PtRovSJRNL0shy5R/hJzsZx/PTUnVasmiAEYk/eE5s9NmrgG+FjrbzL7ibothL/wUPp9/rIeAU3Cx/wSWcVaCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"afdc180ef2c0e1cafab22f1d3fb202b779f7dc4a79708ebf7d850b08171f52c6","last_reissued_at":"2026-07-05T10:19:40.063675Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:19:40.063675Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.15758","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:19:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eRUyuHbguj4LlVEFOCS5Ar1THJn5m3VXJ6Tw5okSnCjIF7OpHsz0DtSZ5ZkRUSb6i8JjJ47NBqOEFw5xNATzAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T10:11:28.561677Z"},"content_sha256":"260bff0d776a1eb7d52e53524faba6b385a7c452e4efb288009a87853913bb7c","schema_version":"1.0","event_id":"sha256:260bff0d776a1eb7d52e53524faba6b385a7c452e4efb288009a87853913bb7c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:V7OBQDXSYDQ4V6VSF4OT7MQCW5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Maturity Framework for Enhancing Machine Learning Quality","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CY","cs.SE"],"primary_cat":"cs.LG","authors_text":"Angelantonio Castelli, Dmitri Goldenberg, Georgios Christos Chouliaras","submitted_at":"2025-02-12T14:56:46Z","abstract_excerpt":"With the rapid integration of Machine Learning (ML) in business applications and processes, it is crucial to ensure the quality, reliability and reproducibility of such systems. We suggest a methodical approach towards ML system quality assessment and introduce a structured Maturity framework for governance of ML. We emphasize the importance of quality in ML and the need for rigorous assessment, driven by issues in ML governance and gaps in existing frameworks. Our primary contribution is a comprehensive open-sourced quality assessment method, validated with empirical evidence, accompanied by "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.15758","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2502.15758/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:19:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TAk6IhW2Ez+SvIknLrfncpHCISLuvDBWN4uUnvSw4aFZIFFfF4yv4ySBLWHq51nEViTSyzhm5O3j41C0vaKhBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T10:11:28.562210Z"},"content_sha256":"5b6642f6d8a72fe475bef855199e988ad2a05a7690b8fe04951d248935b89ea0","schema_version":"1.0","event_id":"sha256:5b6642f6d8a72fe475bef855199e988ad2a05a7690b8fe04951d248935b89ea0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V7OBQDXSYDQ4V6VSF4OT7MQCW5/bundle.json","state_url":"https://pith.science/pith/V7OBQDXSYDQ4V6VSF4OT7MQCW5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V7OBQDXSYDQ4V6VSF4OT7MQCW5/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-10T10:11:28Z","links":{"resolver":"https://pith.science/pith/V7OBQDXSYDQ4V6VSF4OT7MQCW5","bundle":"https://pith.science/pith/V7OBQDXSYDQ4V6VSF4OT7MQCW5/bundle.json","state":"https://pith.science/pith/V7OBQDXSYDQ4V6VSF4OT7MQCW5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V7OBQDXSYDQ4V6VSF4OT7MQCW5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:V7OBQDXSYDQ4V6VSF4OT7MQCW5","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"34fadc431ec477c0525b9c9fcd6700865bfc9918ab3a959ddb7f1a1dd7e1aa50","cross_cats_sorted":["cs.CY","cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-12T14:56:46Z","title_canon_sha256":"bdfae0b2176182e59587046476de310c78650f3ce1393871567a0d9eac929343"},"schema_version":"1.0","source":{"id":"2502.15758","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.15758","created_at":"2026-07-05T10:19:40Z"},{"alias_kind":"arxiv_version","alias_value":"2502.15758v1","created_at":"2026-07-05T10:19:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.15758","created_at":"2026-07-05T10:19:40Z"},{"alias_kind":"pith_short_12","alias_value":"V7OBQDXSYDQ4","created_at":"2026-07-05T10:19:40Z"},{"alias_kind":"pith_short_16","alias_value":"V7OBQDXSYDQ4V6VS","created_at":"2026-07-05T10:19:40Z"},{"alias_kind":"pith_short_8","alias_value":"V7OBQDXS","created_at":"2026-07-05T10:19:40Z"}],"graph_snapshots":[{"event_id":"sha256:5b6642f6d8a72fe475bef855199e988ad2a05a7690b8fe04951d248935b89ea0","target":"graph","created_at":"2026-07-05T10:19:40Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2502.15758/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the rapid integration of Machine Learning (ML) in business applications and processes, it is crucial to ensure the quality, reliability and reproducibility of such systems. We suggest a methodical approach towards ML system quality assessment and introduce a structured Maturity framework for governance of ML. We emphasize the importance of quality in ML and the need for rigorous assessment, driven by issues in ML governance and gaps in existing frameworks. Our primary contribution is a comprehensive open-sourced quality assessment method, validated with empirical evidence, accompanied by ","authors_text":"Angelantonio Castelli, Dmitri Goldenberg, Georgios Christos Chouliaras","cross_cats":["cs.CY","cs.SE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-12T14:56:46Z","title":"Maturity Framework for Enhancing Machine Learning Quality"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.15758","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:260bff0d776a1eb7d52e53524faba6b385a7c452e4efb288009a87853913bb7c","target":"record","created_at":"2026-07-05T10:19:40Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"34fadc431ec477c0525b9c9fcd6700865bfc9918ab3a959ddb7f1a1dd7e1aa50","cross_cats_sorted":["cs.CY","cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-12T14:56:46Z","title_canon_sha256":"bdfae0b2176182e59587046476de310c78650f3ce1393871567a0d9eac929343"},"schema_version":"1.0","source":{"id":"2502.15758","kind":"arxiv","version":1}},"canonical_sha256":"afdc180ef2c0e1cafab22f1d3fb202b779f7dc4a79708ebf7d850b08171f52c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"afdc180ef2c0e1cafab22f1d3fb202b779f7dc4a79708ebf7d850b08171f52c6","first_computed_at":"2026-07-05T10:19:40.063675Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:19:40.063675Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PtRovSJRNL0shy5R/hJzsZx/PTUnVasmiAEYk/eE5s9NmrgG+FjrbzL7ibothL/wUPp9/rIeAU3Cx/wSWcVaCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:19:40.064229Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.15758","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:260bff0d776a1eb7d52e53524faba6b385a7c452e4efb288009a87853913bb7c","sha256:5b6642f6d8a72fe475bef855199e988ad2a05a7690b8fe04951d248935b89ea0"],"state_sha256":"6a49dcef76db95d9a5554ff1e3b0f4ebafbd35e7548972c6f7bdea25891a2f4c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qQciesjV8yn5RymMroNfjNWZdULybB7pQQMgRH/3XLKcDgoXJDgLL6xfid+tnhnkUwY1vNuslkniszX7wQBsDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T10:11:28.568314Z","bundle_sha256":"5c9359bdf40bc846a6a1bf2865058ec846641a422f6d4fa5dde11176beac98d9"}}