{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:B3F2DQXXDIJCQMZNBUO7GPVARU","short_pith_number":"pith:B3F2DQXX","canonical_record":{"source":{"id":"2204.04831","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-04-11T02:29:57Z","cross_cats_sorted":["cs.AR","cs.DC","cs.PF"],"title_canon_sha256":"c636b03687036d35e96d4152f5ba2584ad6c18ad71b445821684c54ebb435cee","abstract_canon_sha256":"2653e794124b0dd7735a7923feb7cf898dfacae7f689907045f13a67e60b5a4e"},"schema_version":"1.0"},"canonical_sha256":"0ecba1c2f71a1228332d0d1df33ea08d1a99f4b1e5408aaeb0e2b23cda52f042","source":{"kind":"arxiv","id":"2204.04831","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.04831","created_at":"2026-07-05T04:13:02Z"},{"alias_kind":"arxiv_version","alias_value":"2204.04831v1","created_at":"2026-07-05T04:13:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.04831","created_at":"2026-07-05T04:13:02Z"},{"alias_kind":"pith_short_12","alias_value":"B3F2DQXXDIJC","created_at":"2026-07-05T04:13:02Z"},{"alias_kind":"pith_short_16","alias_value":"B3F2DQXXDIJCQMZN","created_at":"2026-07-05T04:13:02Z"},{"alias_kind":"pith_short_8","alias_value":"B3F2DQXX","created_at":"2026-07-05T04:13:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:B3F2DQXXDIJCQMZNBUO7GPVARU","target":"record","payload":{"canonical_record":{"source":{"id":"2204.04831","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-04-11T02:29:57Z","cross_cats_sorted":["cs.AR","cs.DC","cs.PF"],"title_canon_sha256":"c636b03687036d35e96d4152f5ba2584ad6c18ad71b445821684c54ebb435cee","abstract_canon_sha256":"2653e794124b0dd7735a7923feb7cf898dfacae7f689907045f13a67e60b5a4e"},"schema_version":"1.0"},"canonical_sha256":"0ecba1c2f71a1228332d0d1df33ea08d1a99f4b1e5408aaeb0e2b23cda52f042","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:13:02.055922Z","signature_b64":"sXkFb/whyhVEmbSf+f+cHGyVCf5cnq42GhjL28cjc1aLKepcjH4qXH7a2XPXzQaLWoc7qPr/7MfmrfwGzjGrBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0ecba1c2f71a1228332d0d1df33ea08d1a99f4b1e5408aaeb0e2b23cda52f042","last_reissued_at":"2026-07-05T04:13:02.055491Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:13:02.055491Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.04831","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":"2026-07-05T04:13:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HtLueD/SJsjZyk8QX4C97NlGc7Fb01iuflX82dvILBiA8/ntNbTTi4zxc3WbAbstMYMuqvqGpFzcE6q6ntNKBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T10:24:13.766981Z"},"content_sha256":"e6eafe4cafdfddc11445f5531d9666b762e48936c389febe0eebfbaf68825649","schema_version":"1.0","event_id":"sha256:e6eafe4cafdfddc11445f5531d9666b762e48936c389febe0eebfbaf68825649"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:B3F2DQXXDIJCQMZNBUO7GPVARU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Cello: Efficient Computer Systems Optimization with Predictive Early Termination and Censored Regression","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AR","cs.DC","cs.PF"],"primary_cat":"cs.LG","authors_text":"Ahsan Pervaiz, Alex Renda, Henry Hoffmann, Michael Carbin, Yi Ding","submitted_at":"2022-04-11T02:29:57Z","abstract_excerpt":"Sample-efficient machine learning (SEML) has been widely applied to find optimal latency and power tradeoffs for configurable computer systems. Instead of randomly sampling from the configuration space, SEML reduces the search cost by dramatically reducing the number of configurations that must be sampled to optimize system goals (e.g., low latency or energy). Nevertheless, SEML only reduces one component of cost -- the total number of samples collected -- but does not decrease the cost of collecting each sample. Critically, not all samples are equal; some take much longer to collect because t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.04831","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/2204.04831/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":"2026-07-05T04:13:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WgUKfoFEnTw+0OY1x/LYGC7QJDzCr2FKgDucyb9JoIMPdhpH6j3ELkkyLuYEUIAv//e+tm/kKsTL55JvodnuDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T10:24:13.767394Z"},"content_sha256":"1e447724897a82d7f64d1f6c117c476fa59aaba80ed0c9d610107aabeda75afc","schema_version":"1.0","event_id":"sha256:1e447724897a82d7f64d1f6c117c476fa59aaba80ed0c9d610107aabeda75afc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/B3F2DQXXDIJCQMZNBUO7GPVARU/bundle.json","state_url":"https://pith.science/pith/B3F2DQXXDIJCQMZNBUO7GPVARU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/B3F2DQXXDIJCQMZNBUO7GPVARU/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":"2026-07-07T10:24:13Z","links":{"resolver":"https://pith.science/pith/B3F2DQXXDIJCQMZNBUO7GPVARU","bundle":"https://pith.science/pith/B3F2DQXXDIJCQMZNBUO7GPVARU/bundle.json","state":"https://pith.science/pith/B3F2DQXXDIJCQMZNBUO7GPVARU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/B3F2DQXXDIJCQMZNBUO7GPVARU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:B3F2DQXXDIJCQMZNBUO7GPVARU","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":"2653e794124b0dd7735a7923feb7cf898dfacae7f689907045f13a67e60b5a4e","cross_cats_sorted":["cs.AR","cs.DC","cs.PF"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-04-11T02:29:57Z","title_canon_sha256":"c636b03687036d35e96d4152f5ba2584ad6c18ad71b445821684c54ebb435cee"},"schema_version":"1.0","source":{"id":"2204.04831","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.04831","created_at":"2026-07-05T04:13:02Z"},{"alias_kind":"arxiv_version","alias_value":"2204.04831v1","created_at":"2026-07-05T04:13:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.04831","created_at":"2026-07-05T04:13:02Z"},{"alias_kind":"pith_short_12","alias_value":"B3F2DQXXDIJC","created_at":"2026-07-05T04:13:02Z"},{"alias_kind":"pith_short_16","alias_value":"B3F2DQXXDIJCQMZN","created_at":"2026-07-05T04:13:02Z"},{"alias_kind":"pith_short_8","alias_value":"B3F2DQXX","created_at":"2026-07-05T04:13:02Z"}],"graph_snapshots":[{"event_id":"sha256:1e447724897a82d7f64d1f6c117c476fa59aaba80ed0c9d610107aabeda75afc","target":"graph","created_at":"2026-07-05T04:13:02Z","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/2204.04831/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sample-efficient machine learning (SEML) has been widely applied to find optimal latency and power tradeoffs for configurable computer systems. Instead of randomly sampling from the configuration space, SEML reduces the search cost by dramatically reducing the number of configurations that must be sampled to optimize system goals (e.g., low latency or energy). Nevertheless, SEML only reduces one component of cost -- the total number of samples collected -- but does not decrease the cost of collecting each sample. Critically, not all samples are equal; some take much longer to collect because t","authors_text":"Ahsan Pervaiz, Alex Renda, Henry Hoffmann, Michael Carbin, Yi Ding","cross_cats":["cs.AR","cs.DC","cs.PF"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-04-11T02:29:57Z","title":"Cello: Efficient Computer Systems Optimization with Predictive Early Termination and Censored Regression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.04831","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:e6eafe4cafdfddc11445f5531d9666b762e48936c389febe0eebfbaf68825649","target":"record","created_at":"2026-07-05T04:13:02Z","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":"2653e794124b0dd7735a7923feb7cf898dfacae7f689907045f13a67e60b5a4e","cross_cats_sorted":["cs.AR","cs.DC","cs.PF"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-04-11T02:29:57Z","title_canon_sha256":"c636b03687036d35e96d4152f5ba2584ad6c18ad71b445821684c54ebb435cee"},"schema_version":"1.0","source":{"id":"2204.04831","kind":"arxiv","version":1}},"canonical_sha256":"0ecba1c2f71a1228332d0d1df33ea08d1a99f4b1e5408aaeb0e2b23cda52f042","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0ecba1c2f71a1228332d0d1df33ea08d1a99f4b1e5408aaeb0e2b23cda52f042","first_computed_at":"2026-07-05T04:13:02.055491Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:13:02.055491Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sXkFb/whyhVEmbSf+f+cHGyVCf5cnq42GhjL28cjc1aLKepcjH4qXH7a2XPXzQaLWoc7qPr/7MfmrfwGzjGrBw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:13:02.055922Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.04831","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e6eafe4cafdfddc11445f5531d9666b762e48936c389febe0eebfbaf68825649","sha256:1e447724897a82d7f64d1f6c117c476fa59aaba80ed0c9d610107aabeda75afc"],"state_sha256":"b550649c61e96c1f3d7c1d47f26d6c93849291526b941395883f1c052be7781a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XLf1/XYT1lw9+TFRLKKc+Eb0Z7OdZYgefz7RW6LxGEc8p6A6Xm0seX3OSpvVN87hUjzYcQfMPgm+HC9PelKsBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T10:24:13.769427Z","bundle_sha256":"71a2876ed89967bd758e22dd97536e6d97a4445be8080bf65279c061e1fde81e"}}