{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:NH7ZS43CDI3A4464OSMSSZWYZZ","short_pith_number":"pith:NH7ZS43C","canonical_record":{"source":{"id":"2607.26940","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-29T14:09:55Z","cross_cats_sorted":[],"title_canon_sha256":"171f66400c6fbeb8ec8a19b657c0b9f03bfcdc90e753cdad84568b9f13f6f2f5","abstract_canon_sha256":"a1e2b9b78c728058c970d25c3d67c5426e0353ba048634579469b6ea675fbed1"},"schema_version":"1.0"},"canonical_sha256":"69ff9973621a360e73dc74992966d8ce6d71985423cb17ef41d51c48033a5bc8","source":{"kind":"arxiv","id":"2607.26940","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.26940","created_at":"2026-07-30T01:23:07Z"},{"alias_kind":"arxiv_version","alias_value":"2607.26940v1","created_at":"2026-07-30T01:23:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.26940","created_at":"2026-07-30T01:23:07Z"},{"alias_kind":"pith_short_12","alias_value":"NH7ZS43CDI3A","created_at":"2026-07-30T01:23:07Z"},{"alias_kind":"pith_short_16","alias_value":"NH7ZS43CDI3A4464","created_at":"2026-07-30T01:23:07Z"},{"alias_kind":"pith_short_8","alias_value":"NH7ZS43C","created_at":"2026-07-30T01:23:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:NH7ZS43CDI3A4464OSMSSZWYZZ","target":"record","payload":{"canonical_record":{"source":{"id":"2607.26940","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-29T14:09:55Z","cross_cats_sorted":[],"title_canon_sha256":"171f66400c6fbeb8ec8a19b657c0b9f03bfcdc90e753cdad84568b9f13f6f2f5","abstract_canon_sha256":"a1e2b9b78c728058c970d25c3d67c5426e0353ba048634579469b6ea675fbed1"},"schema_version":"1.0"},"canonical_sha256":"69ff9973621a360e73dc74992966d8ce6d71985423cb17ef41d51c48033a5bc8","receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"69ff9973621a360e73dc74992966d8ce6d71985423cb17ef41d51c48033a5bc8","last_reissued_at":"2026-07-30T01:23:07.238638Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-30T01:23:07.238638Z"},"source_kind":"arxiv","source_id":"2607.26940","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":"2026-07-30T01:23:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ng7B2BQzzUcNHajo9M5d5AHiByYt18X81MM2fbmlRTzFQ4Tgv6e6cAv+B11ptgt+W46AQZXOezpa1lluNLyUDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T12:21:57.503568Z"},"content_sha256":"2bd8b04dbe32239baf533f53477690b8c7af84290e17a04c28da6ea4ec8ae117","schema_version":"1.0","event_id":"sha256:2bd8b04dbe32239baf533f53477690b8c7af84290e17a04c28da6ea4ec8ae117"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:NH7ZS43CDI3A4464OSMSSZWYZZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Surrogate assisted diversity estimation in neural ensemble search","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Alexandr Udeneev, Oleg Bakhteev, Petr Babkin","submitted_at":"2026-07-29T14:09:55Z","abstract_excerpt":"Ensembles are a standard way to improve the performance and robustness of deep neural networks, but their effectiveness crucially depends on both the quality and the diversity of individual models. Most neural architecture search (NAS) methods are computationally expensive. Extending them to neural ensemble search (NES), which requires joint optimization of individual architectures and their ensemble composition, leads to an exponential growth of the search space and makes the problem computationally intractable. To address this, we introduce a dual-objective surrogate-guided ensemble search: "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.26940","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/2607.26940/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":"2026-07-30T01:23:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GQyEwhlvRs8TNZZ/TrCw3mGg1D4uNi2+Lnp5wA8socAAg1V23PHimNebOueEOzjOmngBkHGFGLJYFcFQmKXpDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T12:21:57.504198Z"},"content_sha256":"8064203653cf8cf6eb487402adbf88842c273e4a3c18ac28d97a530b51a7cf47","schema_version":"1.0","event_id":"sha256:8064203653cf8cf6eb487402adbf88842c273e4a3c18ac28d97a530b51a7cf47"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NH7ZS43CDI3A4464OSMSSZWYZZ/bundle.json","state_url":"https://pith.science/pith/NH7ZS43CDI3A4464OSMSSZWYZZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NH7ZS43CDI3A4464OSMSSZWYZZ/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":"2026-08-17T12:21:57Z","links":{"resolver":"https://pith.science/pith/NH7ZS43CDI3A4464OSMSSZWYZZ","bundle":"https://pith.science/pith/NH7ZS43CDI3A4464OSMSSZWYZZ/bundle.json","state":"https://pith.science/pith/NH7ZS43CDI3A4464OSMSSZWYZZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NH7ZS43CDI3A4464OSMSSZWYZZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NH7ZS43CDI3A4464OSMSSZWYZZ","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":"a1e2b9b78c728058c970d25c3d67c5426e0353ba048634579469b6ea675fbed1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-29T14:09:55Z","title_canon_sha256":"171f66400c6fbeb8ec8a19b657c0b9f03bfcdc90e753cdad84568b9f13f6f2f5"},"schema_version":"1.0","source":{"id":"2607.26940","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.26940","created_at":"2026-07-30T01:23:07Z"},{"alias_kind":"arxiv_version","alias_value":"2607.26940v1","created_at":"2026-07-30T01:23:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.26940","created_at":"2026-07-30T01:23:07Z"},{"alias_kind":"pith_short_12","alias_value":"NH7ZS43CDI3A","created_at":"2026-07-30T01:23:07Z"},{"alias_kind":"pith_short_16","alias_value":"NH7ZS43CDI3A4464","created_at":"2026-07-30T01:23:07Z"},{"alias_kind":"pith_short_8","alias_value":"NH7ZS43C","created_at":"2026-07-30T01:23:07Z"}],"graph_snapshots":[{"event_id":"sha256:8064203653cf8cf6eb487402adbf88842c273e4a3c18ac28d97a530b51a7cf47","target":"graph","created_at":"2026-07-30T01:23:07Z","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/2607.26940/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Ensembles are a standard way to improve the performance and robustness of deep neural networks, but their effectiveness crucially depends on both the quality and the diversity of individual models. Most neural architecture search (NAS) methods are computationally expensive. Extending them to neural ensemble search (NES), which requires joint optimization of individual architectures and their ensemble composition, leads to an exponential growth of the search space and makes the problem computationally intractable. To address this, we introduce a dual-objective surrogate-guided ensemble search: ","authors_text":"Alexandr Udeneev, Oleg Bakhteev, Petr Babkin","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-29T14:09:55Z","title":"Surrogate assisted diversity estimation in neural ensemble search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.26940","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":"sha256:2bd8b04dbe32239baf533f53477690b8c7af84290e17a04c28da6ea4ec8ae117","target":"record","created_at":"2026-07-30T01:23:07Z","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":"a1e2b9b78c728058c970d25c3d67c5426e0353ba048634579469b6ea675fbed1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-29T14:09:55Z","title_canon_sha256":"171f66400c6fbeb8ec8a19b657c0b9f03bfcdc90e753cdad84568b9f13f6f2f5"},"schema_version":"1.0","source":{"id":"2607.26940","kind":"arxiv","version":1}},"canonical_sha256":"69ff9973621a360e73dc74992966d8ce6d71985423cb17ef41d51c48033a5bc8","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"69ff9973621a360e73dc74992966d8ce6d71985423cb17ef41d51c48033a5bc8","first_computed_at":"2026-07-30T01:23:07.238638Z","kind":"pith_receipt","last_reissued_at":"2026-07-30T01:23:07.238638Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2607.26940","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2bd8b04dbe32239baf533f53477690b8c7af84290e17a04c28da6ea4ec8ae117","sha256:8064203653cf8cf6eb487402adbf88842c273e4a3c18ac28d97a530b51a7cf47"],"state_sha256":"c64a160397cec38ee7589f46ca4922cc23f0b895a70a9db294bf7df348dd94b9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uQPqsaO04evsZQk/EcBemuPY+crVeQw6tFcPK1blPM8/ttDT5qNE5ZtF2VWa0Q2iFmbeUMcxCKgqrEEXT9/6CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T12:21:57.508121Z","bundle_sha256":"c3ae95abcb32314a67fd9a7d403c67b50ee57b30d6f859596a7ddf1bf6b1311c"}}