{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:DCJUEWZFCJ6A3RYRZ2P4QURFDW","short_pith_number":"pith:DCJUEWZF","canonical_record":{"source":{"id":"1803.08700","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-03-23T09:17:48Z","cross_cats_sorted":["cs.DS","cs.LG"],"title_canon_sha256":"d7682712d8c3d7c25c6dea3e9a5874bfd7ff893efca43506555070d3f9e8fd8a","abstract_canon_sha256":"4b50510e65fad69b41b7b62c6fd5303f62526465c44fc7cb45783288c9e2147c"},"schema_version":"1.0"},"canonical_sha256":"1893425b25127c0dc711ce9fc852251db9d94078c8e133c9e07efebd63b90ca6","source":{"kind":"arxiv","id":"1803.08700","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.08700","created_at":"2026-07-05T00:29:35Z"},{"alias_kind":"arxiv_version","alias_value":"1803.08700v3","created_at":"2026-07-05T00:29:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.08700","created_at":"2026-07-05T00:29:35Z"},{"alias_kind":"pith_short_12","alias_value":"DCJUEWZFCJ6A","created_at":"2026-07-05T00:29:35Z"},{"alias_kind":"pith_short_16","alias_value":"DCJUEWZFCJ6A3RYR","created_at":"2026-07-05T00:29:35Z"},{"alias_kind":"pith_short_8","alias_value":"DCJUEWZF","created_at":"2026-07-05T00:29:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:DCJUEWZFCJ6A3RYRZ2P4QURFDW","target":"record","payload":{"canonical_record":{"source":{"id":"1803.08700","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-03-23T09:17:48Z","cross_cats_sorted":["cs.DS","cs.LG"],"title_canon_sha256":"d7682712d8c3d7c25c6dea3e9a5874bfd7ff893efca43506555070d3f9e8fd8a","abstract_canon_sha256":"4b50510e65fad69b41b7b62c6fd5303f62526465c44fc7cb45783288c9e2147c"},"schema_version":"1.0"},"canonical_sha256":"1893425b25127c0dc711ce9fc852251db9d94078c8e133c9e07efebd63b90ca6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:29:35.353305Z","signature_b64":"srnbGtplrwMXo+eUjqWwteoSuWyB8T10TmYWesIaNysu6ZuDZh8uPC17ttPKG1UbU6UDfsjc95WAclcricIFCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1893425b25127c0dc711ce9fc852251db9d94078c8e133c9e07efebd63b90ca6","last_reissued_at":"2026-07-05T00:29:35.352708Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:29:35.352708Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1803.08700","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:29:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sX9wMz+Q9tWaMJ2mDsdnGg8B/R4YsvastqFqC0NHp3bXJvhUCG8UIzduNCulGQVosTxsXR4+uJvtsHp530ozAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T09:21:36.132631Z"},"content_sha256":"5995eb397e43bac956189276de984c3d7acb49f51a73d5441dcd80bde3caca57","schema_version":"1.0","event_id":"sha256:5995eb397e43bac956189276de984c3d7acb49f51a73d5441dcd80bde3caca57"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:DCJUEWZFCJ6A3RYRZ2P4QURFDW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Determinantal Point Processes for Coresets","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DS","cs.LG"],"primary_cat":"stat.ML","authors_text":"Nicolas Tremblay, Pierre-Olivier Amblard, Simon Barthelm\\'e","submitted_at":"2018-03-23T09:17:48Z","abstract_excerpt":"When faced with a data set too large to be processed all at once, an obvious solution is to retain only part of it. In practice this takes a wide variety of different forms, and among them \"coresets\" are especially appealing. A coreset is a (small) weighted sample of the original data that comes with the following guarantee: a cost function can be evaluated on the smaller set instead of the larger one, with low relative error. For some classes of problems, and via a careful choice of sampling distribution (based on the so-called \"sensitivity\" metric), iid random sampling has turned to be one o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.08700","kind":"arxiv","version":3},"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/1803.08700/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":"2026-07-05T00:29:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D5uDr3cSWAlIeM1FnvHJRSOI55pocEWWiBx11jAwp2uERZO2utx/smR7bWTSryfD4+I1nBp8A39y1YTxR+AAAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T09:21:36.133156Z"},"content_sha256":"82a9bdb13ca9c7cc458d35b48fbe318af0c0317f9eb0ac81b2d499df19676944","schema_version":"1.0","event_id":"sha256:82a9bdb13ca9c7cc458d35b48fbe318af0c0317f9eb0ac81b2d499df19676944"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DCJUEWZFCJ6A3RYRZ2P4QURFDW/bundle.json","state_url":"https://pith.science/pith/DCJUEWZFCJ6A3RYRZ2P4QURFDW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DCJUEWZFCJ6A3RYRZ2P4QURFDW/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":"2026-08-07T09:21:36Z","links":{"resolver":"https://pith.science/pith/DCJUEWZFCJ6A3RYRZ2P4QURFDW","bundle":"https://pith.science/pith/DCJUEWZFCJ6A3RYRZ2P4QURFDW/bundle.json","state":"https://pith.science/pith/DCJUEWZFCJ6A3RYRZ2P4QURFDW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DCJUEWZFCJ6A3RYRZ2P4QURFDW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:DCJUEWZFCJ6A3RYRZ2P4QURFDW","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":"4b50510e65fad69b41b7b62c6fd5303f62526465c44fc7cb45783288c9e2147c","cross_cats_sorted":["cs.DS","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-03-23T09:17:48Z","title_canon_sha256":"d7682712d8c3d7c25c6dea3e9a5874bfd7ff893efca43506555070d3f9e8fd8a"},"schema_version":"1.0","source":{"id":"1803.08700","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.08700","created_at":"2026-07-05T00:29:35Z"},{"alias_kind":"arxiv_version","alias_value":"1803.08700v3","created_at":"2026-07-05T00:29:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.08700","created_at":"2026-07-05T00:29:35Z"},{"alias_kind":"pith_short_12","alias_value":"DCJUEWZFCJ6A","created_at":"2026-07-05T00:29:35Z"},{"alias_kind":"pith_short_16","alias_value":"DCJUEWZFCJ6A3RYR","created_at":"2026-07-05T00:29:35Z"},{"alias_kind":"pith_short_8","alias_value":"DCJUEWZF","created_at":"2026-07-05T00:29:35Z"}],"graph_snapshots":[{"event_id":"sha256:82a9bdb13ca9c7cc458d35b48fbe318af0c0317f9eb0ac81b2d499df19676944","target":"graph","created_at":"2026-07-05T00:29:35Z","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/1803.08700/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"When faced with a data set too large to be processed all at once, an obvious solution is to retain only part of it. In practice this takes a wide variety of different forms, and among them \"coresets\" are especially appealing. A coreset is a (small) weighted sample of the original data that comes with the following guarantee: a cost function can be evaluated on the smaller set instead of the larger one, with low relative error. For some classes of problems, and via a careful choice of sampling distribution (based on the so-called \"sensitivity\" metric), iid random sampling has turned to be one o","authors_text":"Nicolas Tremblay, Pierre-Olivier Amblard, Simon Barthelm\\'e","cross_cats":["cs.DS","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-03-23T09:17:48Z","title":"Determinantal Point Processes for Coresets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.08700","kind":"arxiv","version":3},"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":"sha256:5995eb397e43bac956189276de984c3d7acb49f51a73d5441dcd80bde3caca57","target":"record","created_at":"2026-07-05T00:29:35Z","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":"4b50510e65fad69b41b7b62c6fd5303f62526465c44fc7cb45783288c9e2147c","cross_cats_sorted":["cs.DS","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-03-23T09:17:48Z","title_canon_sha256":"d7682712d8c3d7c25c6dea3e9a5874bfd7ff893efca43506555070d3f9e8fd8a"},"schema_version":"1.0","source":{"id":"1803.08700","kind":"arxiv","version":3}},"canonical_sha256":"1893425b25127c0dc711ce9fc852251db9d94078c8e133c9e07efebd63b90ca6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1893425b25127c0dc711ce9fc852251db9d94078c8e133c9e07efebd63b90ca6","first_computed_at":"2026-07-05T00:29:35.352708Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:29:35.352708Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"srnbGtplrwMXo+eUjqWwteoSuWyB8T10TmYWesIaNysu6ZuDZh8uPC17ttPKG1UbU6UDfsjc95WAclcricIFCg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:29:35.353305Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.08700","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5995eb397e43bac956189276de984c3d7acb49f51a73d5441dcd80bde3caca57","sha256:82a9bdb13ca9c7cc458d35b48fbe318af0c0317f9eb0ac81b2d499df19676944"],"state_sha256":"80662267d1fd72bb3cc1835d9085a58ec6284cc5f378176a8f22272011a3edc9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"78tl14NOt2w3AjRFs0Xet3RLFlsohm1akwPjGkOvTTuj+R1dR2ZeYd9ltSEuoHM/Jx/eMDgN9yRraURaUe9yBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T09:21:36.138501Z","bundle_sha256":"8698809bd9bab062ac7e0d66a5e3f737a770551e90c137b28a1e733d144f0d12"}}