{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:C5SKX74KHDFJ4KA4XVVTL3ZZUU","short_pith_number":"pith:C5SKX74K","canonical_record":{"source":{"id":"2203.13392","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-24T23:59:50Z","cross_cats_sorted":["cs.AI","cs.NE"],"title_canon_sha256":"5b71a9a54e1c56c02ef763b01f1964994f973faf849a8aad2526c6d43f81b9b0","abstract_canon_sha256":"64c3c7cba1eca72cbb226247be52ae1287c956930aeb8b4ca285b7556e2cedc4"},"schema_version":"1.0"},"canonical_sha256":"1764abff8a38ca9e281cbd6b35ef39a51cf1fbe0da9190234331f8a47e436a0b","source":{"kind":"arxiv","id":"2203.13392","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.13392","created_at":"2026-07-05T04:08:31Z"},{"alias_kind":"arxiv_version","alias_value":"2203.13392v1","created_at":"2026-07-05T04:08:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.13392","created_at":"2026-07-05T04:08:31Z"},{"alias_kind":"pith_short_12","alias_value":"C5SKX74KHDFJ","created_at":"2026-07-05T04:08:31Z"},{"alias_kind":"pith_short_16","alias_value":"C5SKX74KHDFJ4KA4","created_at":"2026-07-05T04:08:31Z"},{"alias_kind":"pith_short_8","alias_value":"C5SKX74K","created_at":"2026-07-05T04:08:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:C5SKX74KHDFJ4KA4XVVTL3ZZUU","target":"record","payload":{"canonical_record":{"source":{"id":"2203.13392","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-24T23:59:50Z","cross_cats_sorted":["cs.AI","cs.NE"],"title_canon_sha256":"5b71a9a54e1c56c02ef763b01f1964994f973faf849a8aad2526c6d43f81b9b0","abstract_canon_sha256":"64c3c7cba1eca72cbb226247be52ae1287c956930aeb8b4ca285b7556e2cedc4"},"schema_version":"1.0"},"canonical_sha256":"1764abff8a38ca9e281cbd6b35ef39a51cf1fbe0da9190234331f8a47e436a0b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:08:31.381504Z","signature_b64":"0SzsK9KsDEpEaBW8fkOymamPnpcIwWHfBDoQJaOIaIwji+RrjWomCDI7x0AEYftuOJTMgs8aqf7/YGZyoVuDCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1764abff8a38ca9e281cbd6b35ef39a51cf1fbe0da9190234331f8a47e436a0b","last_reissued_at":"2026-07-05T04:08:31.381143Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:08:31.381143Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.13392","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":"2026-07-05T04:08:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ya8hQCqUeN5wKu+LFhjZ+HALJjmsteWjxXPdgmdDd4i1UKBXklln4Vdyjujp+HxYBISfXSFRMt7uTsQyana5Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T06:22:43.765275Z"},"content_sha256":"b3885c266104c8398f65d798c4b65c0adaeb56b22f5edc7345988cb876e66001","schema_version":"1.0","event_id":"sha256:b3885c266104c8398f65d798c4b65c0adaeb56b22f5edc7345988cb876e66001"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:C5SKX74KHDFJ4KA4XVVTL3ZZUU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.NE"],"primary_cat":"cs.LG","authors_text":"Emma Hart, Kevin Sim, Mohamad Alissa","submitted_at":"2022-03-24T23:59:50Z","abstract_excerpt":"We propose a novel technique for algorithm-selection, applicable to optimisation domains in which there is implicit sequential information encapsulated in the data, e.g., in online bin-packing. Specifically we train two types of recurrent neural networks to predict a packing heuristic in online bin-packing, selecting from four well-known heuristics. As input, the RNN methods only use the sequence of item-sizes. This contrasts to typical approaches to algorithm-selection which require a model to be trained using domain-specific instance features that need to be first derived from the input data"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.13392","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/2203.13392/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":"2026-07-05T04:08:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"smP8uN9Iaht7xt94gilzHLnVUKdqjDcBG6223cvxWlcOJcyEJi2c6x3XM8w6WdCeGq956My/8KkTBGVS+GMtDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T06:22:43.765795Z"},"content_sha256":"884b435a87bf8c7f9f3d1bb3bb19aa97b16c9b9e6431ea92678c86743c958f46","schema_version":"1.0","event_id":"sha256:884b435a87bf8c7f9f3d1bb3bb19aa97b16c9b9e6431ea92678c86743c958f46"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C5SKX74KHDFJ4KA4XVVTL3ZZUU/bundle.json","state_url":"https://pith.science/pith/C5SKX74KHDFJ4KA4XVVTL3ZZUU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C5SKX74KHDFJ4KA4XVVTL3ZZUU/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":"2026-08-03T06:22:43Z","links":{"resolver":"https://pith.science/pith/C5SKX74KHDFJ4KA4XVVTL3ZZUU","bundle":"https://pith.science/pith/C5SKX74KHDFJ4KA4XVVTL3ZZUU/bundle.json","state":"https://pith.science/pith/C5SKX74KHDFJ4KA4XVVTL3ZZUU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C5SKX74KHDFJ4KA4XVVTL3ZZUU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:C5SKX74KHDFJ4KA4XVVTL3ZZUU","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":"64c3c7cba1eca72cbb226247be52ae1287c956930aeb8b4ca285b7556e2cedc4","cross_cats_sorted":["cs.AI","cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-24T23:59:50Z","title_canon_sha256":"5b71a9a54e1c56c02ef763b01f1964994f973faf849a8aad2526c6d43f81b9b0"},"schema_version":"1.0","source":{"id":"2203.13392","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.13392","created_at":"2026-07-05T04:08:31Z"},{"alias_kind":"arxiv_version","alias_value":"2203.13392v1","created_at":"2026-07-05T04:08:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.13392","created_at":"2026-07-05T04:08:31Z"},{"alias_kind":"pith_short_12","alias_value":"C5SKX74KHDFJ","created_at":"2026-07-05T04:08:31Z"},{"alias_kind":"pith_short_16","alias_value":"C5SKX74KHDFJ4KA4","created_at":"2026-07-05T04:08:31Z"},{"alias_kind":"pith_short_8","alias_value":"C5SKX74K","created_at":"2026-07-05T04:08:31Z"}],"graph_snapshots":[{"event_id":"sha256:884b435a87bf8c7f9f3d1bb3bb19aa97b16c9b9e6431ea92678c86743c958f46","target":"graph","created_at":"2026-07-05T04:08:31Z","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/2203.13392/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a novel technique for algorithm-selection, applicable to optimisation domains in which there is implicit sequential information encapsulated in the data, e.g., in online bin-packing. Specifically we train two types of recurrent neural networks to predict a packing heuristic in online bin-packing, selecting from four well-known heuristics. As input, the RNN methods only use the sequence of item-sizes. This contrasts to typical approaches to algorithm-selection which require a model to be trained using domain-specific instance features that need to be first derived from the input data","authors_text":"Emma Hart, Kevin Sim, Mohamad Alissa","cross_cats":["cs.AI","cs.NE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-24T23:59:50Z","title":"Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.13392","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:b3885c266104c8398f65d798c4b65c0adaeb56b22f5edc7345988cb876e66001","target":"record","created_at":"2026-07-05T04:08:31Z","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":"64c3c7cba1eca72cbb226247be52ae1287c956930aeb8b4ca285b7556e2cedc4","cross_cats_sorted":["cs.AI","cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-24T23:59:50Z","title_canon_sha256":"5b71a9a54e1c56c02ef763b01f1964994f973faf849a8aad2526c6d43f81b9b0"},"schema_version":"1.0","source":{"id":"2203.13392","kind":"arxiv","version":1}},"canonical_sha256":"1764abff8a38ca9e281cbd6b35ef39a51cf1fbe0da9190234331f8a47e436a0b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1764abff8a38ca9e281cbd6b35ef39a51cf1fbe0da9190234331f8a47e436a0b","first_computed_at":"2026-07-05T04:08:31.381143Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:08:31.381143Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0SzsK9KsDEpEaBW8fkOymamPnpcIwWHfBDoQJaOIaIwji+RrjWomCDI7x0AEYftuOJTMgs8aqf7/YGZyoVuDCg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:08:31.381504Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.13392","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b3885c266104c8398f65d798c4b65c0adaeb56b22f5edc7345988cb876e66001","sha256:884b435a87bf8c7f9f3d1bb3bb19aa97b16c9b9e6431ea92678c86743c958f46"],"state_sha256":"e005125b79c5b0e6033c898c809cf36f4c2833113d2f4aea608ff1746c6ce6cb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8qRFGMAciz6cu8N/PMcovpZZhy0XWR1INEfwHuzQw3T+ECACW4+DIHRv7tgMle7ejQ0Yq/KO+hmlMbpp2taSAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T06:22:43.770386Z","bundle_sha256":"82e3009b72a0ec7b3f7a342b03dd746ad9c296a4c72d84493a258340b8b8781a"}}