{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:MHE7QLFH36WVVL3A2STX3RXRNM","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":"5c814121f587f1cf89765cd4733e8f28038da60708e65ef9568bdee414954a55","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2013-12-24T15:10:23Z","title_canon_sha256":"f77532db869bc46b12fad6e7013c28c93db7d1b4e0bdf9f323858c1145e389e2"},"schema_version":"1.0","source":{"id":"1312.6838","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1312.6838","created_at":"2026-05-18T03:03:55Z"},{"alias_kind":"arxiv_version","alias_value":"1312.6838v1","created_at":"2026-05-18T03:03:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1312.6838","created_at":"2026-05-18T03:03:55Z"},{"alias_kind":"pith_short_12","alias_value":"MHE7QLFH36WV","created_at":"2026-05-18T12:27:52Z"},{"alias_kind":"pith_short_16","alias_value":"MHE7QLFH36WVVL3A","created_at":"2026-05-18T12:27:52Z"},{"alias_kind":"pith_short_8","alias_value":"MHE7QLFH","created_at":"2026-05-18T12:27:52Z"}],"graph_snapshots":[{"event_id":"sha256:b9471b8d1a883fd221a5a7feef25100de40e324bbdc3899d5da09f543f246e5d","target":"graph","created_at":"2026-05-18T03:03:55Z","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"},"paper":{"abstract_excerpt":"In today's information systems, the availability of massive amounts of data necessitates the development of fast and accurate algorithms to summarize these data and represent them in a succinct format. One crucial problem in big data analytics is the selection of representative instances from large and massively-distributed data, which is formally known as the Column Subset Selection (CSS) problem. The solution to this problem enables data analysts to understand the insights of the data and explore its hidden structure. The selected instances can also be used for data preprocessing tasks such ","authors_text":"Ahmed Elgohary, Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2013-12-24T15:10:23Z","title":"Greedy Column Subset Selection for Large-scale Data Sets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1312.6838","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:ee32b733f9d4222bb9a945fc36f07125f7c1f73c1a1663a38973fab43c86cb7a","target":"record","created_at":"2026-05-18T03:03:55Z","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":"5c814121f587f1cf89765cd4733e8f28038da60708e65ef9568bdee414954a55","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DS","submitted_at":"2013-12-24T15:10:23Z","title_canon_sha256":"f77532db869bc46b12fad6e7013c28c93db7d1b4e0bdf9f323858c1145e389e2"},"schema_version":"1.0","source":{"id":"1312.6838","kind":"arxiv","version":1}},"canonical_sha256":"61c9f82ca7dfad5aaf60d4a77dc6f16b3d36e4188d86dba428bb5f0cfe860893","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"61c9f82ca7dfad5aaf60d4a77dc6f16b3d36e4188d86dba428bb5f0cfe860893","first_computed_at":"2026-05-18T03:03:55.635907Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:03:55.635907Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qZXcVPGP2k1dwBJbPfJu2ZHV0uohBM07sARmSRbc5RZaKa7tCj/6vZM4Ow/F9ZdBrYAd73RPnfPvDPcSkle4BQ==","signature_status":"signed_v1","signed_at":"2026-05-18T03:03:55.636671Z","signed_message":"canonical_sha256_bytes"},"source_id":"1312.6838","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ee32b733f9d4222bb9a945fc36f07125f7c1f73c1a1663a38973fab43c86cb7a","sha256:b9471b8d1a883fd221a5a7feef25100de40e324bbdc3899d5da09f543f246e5d"],"state_sha256":"0c5c72175edd422a019041ee3539d3d8b869a7bcd30e1bb6a18d1b144978611c"}