{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:MBZEKY244ICEGI52BKFCFNYB4I","short_pith_number":"pith:MBZEKY24","canonical_record":{"source":{"id":"2408.14319","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-26T14:51:26Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"58b157a50585d64e1623d33cf83c266cbc65aa68ecf86a6387bbcb7bfd0b80b7","abstract_canon_sha256":"c2f21134151fcd2db37ac852fe0b76d7d8939b01434894b8b6869bcffd93dfd9"},"schema_version":"1.0"},"canonical_sha256":"607245635ce2044323ba0a8a22b701e20ddb571776b795974993836fbfcbea7b","source":{"kind":"arxiv","id":"2408.14319","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.14319","created_at":"2026-07-05T08:59:54Z"},{"alias_kind":"arxiv_version","alias_value":"2408.14319v1","created_at":"2026-07-05T08:59:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.14319","created_at":"2026-07-05T08:59:54Z"},{"alias_kind":"pith_short_12","alias_value":"MBZEKY244ICE","created_at":"2026-07-05T08:59:54Z"},{"alias_kind":"pith_short_16","alias_value":"MBZEKY244ICEGI52","created_at":"2026-07-05T08:59:54Z"},{"alias_kind":"pith_short_8","alias_value":"MBZEKY24","created_at":"2026-07-05T08:59:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:MBZEKY244ICEGI52BKFCFNYB4I","target":"record","payload":{"canonical_record":{"source":{"id":"2408.14319","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-26T14:51:26Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"58b157a50585d64e1623d33cf83c266cbc65aa68ecf86a6387bbcb7bfd0b80b7","abstract_canon_sha256":"c2f21134151fcd2db37ac852fe0b76d7d8939b01434894b8b6869bcffd93dfd9"},"schema_version":"1.0"},"canonical_sha256":"607245635ce2044323ba0a8a22b701e20ddb571776b795974993836fbfcbea7b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:59:54.343348Z","signature_b64":"YZYQKQYC2nBe/nGt2dSD/g56M3koMr7Eq3lZAZhYUEZBDp+vynsIkSbZ2aV8TMqWOhOtcskROu7RbYRCsPlqCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"607245635ce2044323ba0a8a22b701e20ddb571776b795974993836fbfcbea7b","last_reissued_at":"2026-07-05T08:59:54.342930Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:59:54.342930Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.14319","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":"2026-07-05T08:59:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v/ZMIgxULXYtnCT/krn5ljpLJreWIdP2Zh3eUPfiJkxV2l0x4JvD2hjQZpwEGV9crM8WyY4sR/Tl5v/Bf1r1AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T01:10:42.404638Z"},"content_sha256":"74cd4c8d88bd91f6bc0cd42c42f81647b54838b4d34152de1abb171e0dcf51e2","schema_version":"1.0","event_id":"sha256:74cd4c8d88bd91f6bc0cd42c42f81647b54838b4d34152de1abb171e0dcf51e2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:MBZEKY244ICEGI52BKFCFNYB4I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Rethinking Knowledge Transfer in Learning Using Privileged Information","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Bram van den Akker, Christina Katsimerou, Danil Provodin, Maurits Kaptein, Mykola Pechenizkiy","submitted_at":"2024-08-26T14:51:26Z","abstract_excerpt":"In supervised machine learning, privileged information (PI) is information that is unavailable at inference, but is accessible during training time. Research on learning using privileged information (LUPI) aims to transfer the knowledge captured in PI onto a model that can perform inference without PI. It seems that this extra bit of information ought to make the resulting model better. However, finding conclusive theoretical or empirical evidence that supports the ability to transfer knowledge using PI has been challenging. In this paper, we critically examine the assumptions underlying exist"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.14319","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/2408.14319/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":"2026-07-05T08:59:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yqf7C5YWTzqWpZjAHL1SRJj7Xkg1KdKka5HJion1D9XlH82sIT1zHA/StmvluEF8qz7n8Gc6mO+ZGe3p3W67Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T01:10:42.405139Z"},"content_sha256":"026f04715acfd066a6858e63ba964035fd4c2f5cf64e922e1270f41eb81d1959","schema_version":"1.0","event_id":"sha256:026f04715acfd066a6858e63ba964035fd4c2f5cf64e922e1270f41eb81d1959"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MBZEKY244ICEGI52BKFCFNYB4I/bundle.json","state_url":"https://pith.science/pith/MBZEKY244ICEGI52BKFCFNYB4I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MBZEKY244ICEGI52BKFCFNYB4I/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":"2026-08-20T01:10:42Z","links":{"resolver":"https://pith.science/pith/MBZEKY244ICEGI52BKFCFNYB4I","bundle":"https://pith.science/pith/MBZEKY244ICEGI52BKFCFNYB4I/bundle.json","state":"https://pith.science/pith/MBZEKY244ICEGI52BKFCFNYB4I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MBZEKY244ICEGI52BKFCFNYB4I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MBZEKY244ICEGI52BKFCFNYB4I","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":"c2f21134151fcd2db37ac852fe0b76d7d8939b01434894b8b6869bcffd93dfd9","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-26T14:51:26Z","title_canon_sha256":"58b157a50585d64e1623d33cf83c266cbc65aa68ecf86a6387bbcb7bfd0b80b7"},"schema_version":"1.0","source":{"id":"2408.14319","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.14319","created_at":"2026-07-05T08:59:54Z"},{"alias_kind":"arxiv_version","alias_value":"2408.14319v1","created_at":"2026-07-05T08:59:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.14319","created_at":"2026-07-05T08:59:54Z"},{"alias_kind":"pith_short_12","alias_value":"MBZEKY244ICE","created_at":"2026-07-05T08:59:54Z"},{"alias_kind":"pith_short_16","alias_value":"MBZEKY244ICEGI52","created_at":"2026-07-05T08:59:54Z"},{"alias_kind":"pith_short_8","alias_value":"MBZEKY24","created_at":"2026-07-05T08:59:54Z"}],"graph_snapshots":[{"event_id":"sha256:026f04715acfd066a6858e63ba964035fd4c2f5cf64e922e1270f41eb81d1959","target":"graph","created_at":"2026-07-05T08:59:54Z","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/2408.14319/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In supervised machine learning, privileged information (PI) is information that is unavailable at inference, but is accessible during training time. Research on learning using privileged information (LUPI) aims to transfer the knowledge captured in PI onto a model that can perform inference without PI. It seems that this extra bit of information ought to make the resulting model better. However, finding conclusive theoretical or empirical evidence that supports the ability to transfer knowledge using PI has been challenging. In this paper, we critically examine the assumptions underlying exist","authors_text":"Bram van den Akker, Christina Katsimerou, Danil Provodin, Maurits Kaptein, Mykola Pechenizkiy","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-26T14:51:26Z","title":"Rethinking Knowledge Transfer in Learning Using Privileged Information"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.14319","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":"sha256:74cd4c8d88bd91f6bc0cd42c42f81647b54838b4d34152de1abb171e0dcf51e2","target":"record","created_at":"2026-07-05T08:59:54Z","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":"c2f21134151fcd2db37ac852fe0b76d7d8939b01434894b8b6869bcffd93dfd9","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-26T14:51:26Z","title_canon_sha256":"58b157a50585d64e1623d33cf83c266cbc65aa68ecf86a6387bbcb7bfd0b80b7"},"schema_version":"1.0","source":{"id":"2408.14319","kind":"arxiv","version":1}},"canonical_sha256":"607245635ce2044323ba0a8a22b701e20ddb571776b795974993836fbfcbea7b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"607245635ce2044323ba0a8a22b701e20ddb571776b795974993836fbfcbea7b","first_computed_at":"2026-07-05T08:59:54.342930Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:59:54.342930Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YZYQKQYC2nBe/nGt2dSD/g56M3koMr7Eq3lZAZhYUEZBDp+vynsIkSbZ2aV8TMqWOhOtcskROu7RbYRCsPlqCA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:59:54.343348Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.14319","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:74cd4c8d88bd91f6bc0cd42c42f81647b54838b4d34152de1abb171e0dcf51e2","sha256:026f04715acfd066a6858e63ba964035fd4c2f5cf64e922e1270f41eb81d1959"],"state_sha256":"5d7d216c11950d949db440f8c537bc5bbf3512c96409ddbf9a1819608f9262e2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WO5AQNKpdJSi/poUJQguA9VABFkzm5Y/51ES1dK8/dWd8KpT8qeSH7waiHeXw9cWxlEOTlP5PmN3uOApJtk9Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T01:10:42.410402Z","bundle_sha256":"d2b7e7e61854a8387f201e10e1e8be35fe3f2b2b4f591d214303ec1d586d6956"}}