{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:4YXZ44UEKBLPI2XHT2BPEICFYM","short_pith_number":"pith:4YXZ44UE","canonical_record":{"source":{"id":"2206.13424","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-06-27T16:19:24Z","cross_cats_sorted":["math.OC","stat.ML"],"title_canon_sha256":"cd9295a7a135693d58a3b724953d70733adb592e310e6e18e9c329c0c1c29e98","abstract_canon_sha256":"b06da0b75abb165dac48cd7eeae5b3e2d68decc5241eb2967e3781c1a6e9fdb8"},"schema_version":"1.0"},"canonical_sha256":"e62f9e72845056f46ae79e82f22045c31023b87e758a38f9caa207e46ca10501","source":{"kind":"arxiv","id":"2206.13424","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.13424","created_at":"2026-07-05T05:11:23Z"},{"alias_kind":"arxiv_version","alias_value":"2206.13424v3","created_at":"2026-07-05T05:11:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.13424","created_at":"2026-07-05T05:11:23Z"},{"alias_kind":"pith_short_12","alias_value":"4YXZ44UEKBLP","created_at":"2026-07-05T05:11:23Z"},{"alias_kind":"pith_short_16","alias_value":"4YXZ44UEKBLPI2XH","created_at":"2026-07-05T05:11:23Z"},{"alias_kind":"pith_short_8","alias_value":"4YXZ44UE","created_at":"2026-07-05T05:11:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:4YXZ44UEKBLPI2XHT2BPEICFYM","target":"record","payload":{"canonical_record":{"source":{"id":"2206.13424","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-06-27T16:19:24Z","cross_cats_sorted":["math.OC","stat.ML"],"title_canon_sha256":"cd9295a7a135693d58a3b724953d70733adb592e310e6e18e9c329c0c1c29e98","abstract_canon_sha256":"b06da0b75abb165dac48cd7eeae5b3e2d68decc5241eb2967e3781c1a6e9fdb8"},"schema_version":"1.0"},"canonical_sha256":"e62f9e72845056f46ae79e82f22045c31023b87e758a38f9caa207e46ca10501","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:11:23.132807Z","signature_b64":"v+Hd5MY6XuPDCrNDvtxiuoDiUDDqJHT6MO3SxNducjwZ8QjPQkil3qR4K+6m4PAKWqi/3NFR6bLFTrzIXuMYAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e62f9e72845056f46ae79e82f22045c31023b87e758a38f9caa207e46ca10501","last_reissued_at":"2026-07-05T05:11:23.132311Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:11:23.132311Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.13424","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:11:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Iu6uBbAzLzMV7gAVu83IAcaifEI68Wd/JDRLdUerPxQuBNJYPCspFunqPaQOZ2Oc24A3AhhCHzK80yL4UneiCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-27T07:57:18.666072Z"},"content_sha256":"8935ea7a84412b3ebfdcc8c10eff02f4efda0cca3b0e726d970c48b8b5c029ea","schema_version":"1.0","event_id":"sha256:8935ea7a84412b3ebfdcc8c10eff02f4efda0cca3b0e726d970c48b8b5c029ea"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:4YXZ44UEKBLPI2XHT2BPEICFYM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Benchopt: Reproducible, efficient and collaborative optimization benchmarks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["math.OC","stat.ML"],"primary_cat":"cs.LG","authors_text":"Alain Rakotomamonjy, Alexandre Gramfort, Badr Moufad, Benjamin Charlier, Benoit Mal\\'ezieux, Binh T. Nguyen, Cassio F. Dantas, En Lai, Ghislain Durif, Johan Larsson, Joseph Salmon, Mathieu Dagr\\'eou, Mathurin Massias, Pierre Ablin, Pierre-Antoine Bannier, Quentin Klopfenstein, Samuel Vaiter, Tanguy Lefort, Thomas Moreau, Tom Dupr\\'e la Tour, Zaccharie Ramzi","submitted_at":"2022-06-27T16:19:24Z","abstract_excerpt":"Numerical validation is at the core of machine learning research as it allows to assess the actual impact of new methods, and to confirm the agreement between theory and practice. Yet, the rapid development of the field poses several challenges: researchers are confronted with a profusion of methods to compare, limited transparency and consensus on best practices, as well as tedious re-implementation work. As a result, validation is often very partial, which can lead to wrong conclusions that slow down the progress of research. We propose Benchopt, a collaborative framework to automate, reprod"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.13424","kind":"arxiv","version":3},"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/2206.13424/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":"2026-07-05T05:11:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3Be7TlDw35RcUrEMW7mfhcEMAAIGPCE1OVIvw/Be//kYuGjPYVn1K8V23tUAraJwHWYaE5HJ36xAu9k7eFqsDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-27T07:57:18.666451Z"},"content_sha256":"718bb5c8e21e48109512f50984888281d6a2ae759f1b0c85d49c99ba19c1827d","schema_version":"1.0","event_id":"sha256:718bb5c8e21e48109512f50984888281d6a2ae759f1b0c85d49c99ba19c1827d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4YXZ44UEKBLPI2XHT2BPEICFYM/bundle.json","state_url":"https://pith.science/pith/4YXZ44UEKBLPI2XHT2BPEICFYM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4YXZ44UEKBLPI2XHT2BPEICFYM/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":"2026-07-27T07:57:18Z","links":{"resolver":"https://pith.science/pith/4YXZ44UEKBLPI2XHT2BPEICFYM","bundle":"https://pith.science/pith/4YXZ44UEKBLPI2XHT2BPEICFYM/bundle.json","state":"https://pith.science/pith/4YXZ44UEKBLPI2XHT2BPEICFYM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4YXZ44UEKBLPI2XHT2BPEICFYM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:4YXZ44UEKBLPI2XHT2BPEICFYM","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":"b06da0b75abb165dac48cd7eeae5b3e2d68decc5241eb2967e3781c1a6e9fdb8","cross_cats_sorted":["math.OC","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-06-27T16:19:24Z","title_canon_sha256":"cd9295a7a135693d58a3b724953d70733adb592e310e6e18e9c329c0c1c29e98"},"schema_version":"1.0","source":{"id":"2206.13424","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.13424","created_at":"2026-07-05T05:11:23Z"},{"alias_kind":"arxiv_version","alias_value":"2206.13424v3","created_at":"2026-07-05T05:11:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.13424","created_at":"2026-07-05T05:11:23Z"},{"alias_kind":"pith_short_12","alias_value":"4YXZ44UEKBLP","created_at":"2026-07-05T05:11:23Z"},{"alias_kind":"pith_short_16","alias_value":"4YXZ44UEKBLPI2XH","created_at":"2026-07-05T05:11:23Z"},{"alias_kind":"pith_short_8","alias_value":"4YXZ44UE","created_at":"2026-07-05T05:11:23Z"}],"graph_snapshots":[{"event_id":"sha256:718bb5c8e21e48109512f50984888281d6a2ae759f1b0c85d49c99ba19c1827d","target":"graph","created_at":"2026-07-05T05:11:23Z","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/2206.13424/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Numerical validation is at the core of machine learning research as it allows to assess the actual impact of new methods, and to confirm the agreement between theory and practice. Yet, the rapid development of the field poses several challenges: researchers are confronted with a profusion of methods to compare, limited transparency and consensus on best practices, as well as tedious re-implementation work. As a result, validation is often very partial, which can lead to wrong conclusions that slow down the progress of research. We propose Benchopt, a collaborative framework to automate, reprod","authors_text":"Alain Rakotomamonjy, Alexandre Gramfort, Badr Moufad, Benjamin Charlier, Benoit Mal\\'ezieux, Binh T. Nguyen, Cassio F. Dantas, En Lai, Ghislain Durif, Johan Larsson, Joseph Salmon, Mathieu Dagr\\'eou, Mathurin Massias, Pierre Ablin, Pierre-Antoine Bannier, Quentin Klopfenstein, Samuel Vaiter, Tanguy Lefort, Thomas Moreau, Tom Dupr\\'e la Tour, Zaccharie Ramzi","cross_cats":["math.OC","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-06-27T16:19:24Z","title":"Benchopt: Reproducible, efficient and collaborative optimization benchmarks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.13424","kind":"arxiv","version":3},"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":"sha256:8935ea7a84412b3ebfdcc8c10eff02f4efda0cca3b0e726d970c48b8b5c029ea","target":"record","created_at":"2026-07-05T05:11:23Z","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":"b06da0b75abb165dac48cd7eeae5b3e2d68decc5241eb2967e3781c1a6e9fdb8","cross_cats_sorted":["math.OC","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-06-27T16:19:24Z","title_canon_sha256":"cd9295a7a135693d58a3b724953d70733adb592e310e6e18e9c329c0c1c29e98"},"schema_version":"1.0","source":{"id":"2206.13424","kind":"arxiv","version":3}},"canonical_sha256":"e62f9e72845056f46ae79e82f22045c31023b87e758a38f9caa207e46ca10501","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e62f9e72845056f46ae79e82f22045c31023b87e758a38f9caa207e46ca10501","first_computed_at":"2026-07-05T05:11:23.132311Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:11:23.132311Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v+Hd5MY6XuPDCrNDvtxiuoDiUDDqJHT6MO3SxNducjwZ8QjPQkil3qR4K+6m4PAKWqi/3NFR6bLFTrzIXuMYAg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:11:23.132807Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.13424","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8935ea7a84412b3ebfdcc8c10eff02f4efda0cca3b0e726d970c48b8b5c029ea","sha256:718bb5c8e21e48109512f50984888281d6a2ae759f1b0c85d49c99ba19c1827d"],"state_sha256":"5768d6e68a3decd6095f4532a9862fb0859008d8d357238352067d8d6116787b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zwgk8QdNJ6doENYY5Ef6UVUvi3lXeGvPiP1snGvb5sGGdwpiZ2N03AbfXWkPFTfT3Qc0lik6AGbhIcBvEynFBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-27T07:57:18.668821Z","bundle_sha256":"c969d38ad9c21c52fe32fde1388b89350a825f468226b177581791b0e7f8177d"}}