{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:OQBUGARPLDTZS4V6LT6R6OOA7S","short_pith_number":"pith:OQBUGARP","canonical_record":{"source":{"id":"2312.11952","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-19T08:53:00Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"bf3504b57e9f13f96e3e032fdcaddec68f42982f5cab1d281b206a5b58a23a17","abstract_canon_sha256":"1721655caf0adc5a3958d34ab9dc1c6bb471390f90961ebaf283257025ff6418"},"schema_version":"1.0"},"canonical_sha256":"740343022f58e79972be5cfd1f39c0fc850842703da31c8bd9f763be4e187d98","source":{"kind":"arxiv","id":"2312.11952","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.11952","created_at":"2026-07-05T10:45:05Z"},{"alias_kind":"arxiv_version","alias_value":"2312.11952v2","created_at":"2026-07-05T10:45:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.11952","created_at":"2026-07-05T10:45:05Z"},{"alias_kind":"pith_short_12","alias_value":"OQBUGARPLDTZ","created_at":"2026-07-05T10:45:05Z"},{"alias_kind":"pith_short_16","alias_value":"OQBUGARPLDTZS4V6","created_at":"2026-07-05T10:45:05Z"},{"alias_kind":"pith_short_8","alias_value":"OQBUGARP","created_at":"2026-07-05T10:45:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:OQBUGARPLDTZS4V6LT6R6OOA7S","target":"record","payload":{"canonical_record":{"source":{"id":"2312.11952","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-19T08:53:00Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"bf3504b57e9f13f96e3e032fdcaddec68f42982f5cab1d281b206a5b58a23a17","abstract_canon_sha256":"1721655caf0adc5a3958d34ab9dc1c6bb471390f90961ebaf283257025ff6418"},"schema_version":"1.0"},"canonical_sha256":"740343022f58e79972be5cfd1f39c0fc850842703da31c8bd9f763be4e187d98","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:45:05.709837Z","signature_b64":"wwrsXebfEftnDwp1BBtVr8WhS2QhgYGbTDBbR8oVZaWxkcNHB0/5HyATq5jCbQDFaDPaCPTP7XJ8QqAImF82Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"740343022f58e79972be5cfd1f39c0fc850842703da31c8bd9f763be4e187d98","last_reissued_at":"2026-07-05T10:45:05.709401Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:45:05.709401Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.11952","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:45:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PJX6+o9OLj22An2X8fZM0qgrQJGceQS072N98/Phx8BTG1n7GUhlsvm895xHCUZ6QW1obhCasPa6sGSHXZaVBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T21:13:47.246302Z"},"content_sha256":"ff6fbc592654e2470c8612b6932fcc4b5ee38ffa012d3485ec75936b999de972","schema_version":"1.0","event_id":"sha256:ff6fbc592654e2470c8612b6932fcc4b5ee38ffa012d3485ec75936b999de972"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:OQBUGARPLDTZS4V6LT6R6OOA7S","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automatic Parameter Selection for Non-Redundant Clustering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Christian B\\\"ohm, Claudia Plant, Collin Leiber, Dominik Mautz","submitted_at":"2023-12-19T08:53:00Z","abstract_excerpt":"High-dimensional datasets often contain multiple meaningful clusterings in different subspaces. For example, objects can be clustered either by color, weight, or size, revealing different interpretations of the given dataset. A variety of approaches are able to identify such non-redundant clusterings. However, most of these methods require the user to specify the expected number of subspaces and clusters for each subspace. Stating these values is a non-trivial problem and usually requires detailed knowledge of the input dataset. In this paper, we propose a framework that utilizes the Minimum D"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.11952","kind":"arxiv","version":2},"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/2312.11952/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":"2026-07-05T10:45:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lzKeMCckts0N/fjm7tmugUdOfQV69roLbzNBnulysusxeG9/KlBltAG0+FA6SdK9xBCXmLwNrLiFKG0LMSfKBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T21:13:47.246709Z"},"content_sha256":"e5f0c748533b36b9d94f4330b971163913caca342c2c86bda21d6d65127de815","schema_version":"1.0","event_id":"sha256:e5f0c748533b36b9d94f4330b971163913caca342c2c86bda21d6d65127de815"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OQBUGARPLDTZS4V6LT6R6OOA7S/bundle.json","state_url":"https://pith.science/pith/OQBUGARPLDTZS4V6LT6R6OOA7S/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OQBUGARPLDTZS4V6LT6R6OOA7S/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":"2026-07-10T21:13:47Z","links":{"resolver":"https://pith.science/pith/OQBUGARPLDTZS4V6LT6R6OOA7S","bundle":"https://pith.science/pith/OQBUGARPLDTZS4V6LT6R6OOA7S/bundle.json","state":"https://pith.science/pith/OQBUGARPLDTZS4V6LT6R6OOA7S/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OQBUGARPLDTZS4V6LT6R6OOA7S/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:OQBUGARPLDTZS4V6LT6R6OOA7S","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":"1721655caf0adc5a3958d34ab9dc1c6bb471390f90961ebaf283257025ff6418","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-19T08:53:00Z","title_canon_sha256":"bf3504b57e9f13f96e3e032fdcaddec68f42982f5cab1d281b206a5b58a23a17"},"schema_version":"1.0","source":{"id":"2312.11952","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.11952","created_at":"2026-07-05T10:45:05Z"},{"alias_kind":"arxiv_version","alias_value":"2312.11952v2","created_at":"2026-07-05T10:45:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.11952","created_at":"2026-07-05T10:45:05Z"},{"alias_kind":"pith_short_12","alias_value":"OQBUGARPLDTZ","created_at":"2026-07-05T10:45:05Z"},{"alias_kind":"pith_short_16","alias_value":"OQBUGARPLDTZS4V6","created_at":"2026-07-05T10:45:05Z"},{"alias_kind":"pith_short_8","alias_value":"OQBUGARP","created_at":"2026-07-05T10:45:05Z"}],"graph_snapshots":[{"event_id":"sha256:e5f0c748533b36b9d94f4330b971163913caca342c2c86bda21d6d65127de815","target":"graph","created_at":"2026-07-05T10:45:05Z","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/2312.11952/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"High-dimensional datasets often contain multiple meaningful clusterings in different subspaces. For example, objects can be clustered either by color, weight, or size, revealing different interpretations of the given dataset. A variety of approaches are able to identify such non-redundant clusterings. However, most of these methods require the user to specify the expected number of subspaces and clusters for each subspace. Stating these values is a non-trivial problem and usually requires detailed knowledge of the input dataset. In this paper, we propose a framework that utilizes the Minimum D","authors_text":"Christian B\\\"ohm, Claudia Plant, Collin Leiber, Dominik Mautz","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-19T08:53:00Z","title":"Automatic Parameter Selection for Non-Redundant Clustering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.11952","kind":"arxiv","version":2},"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:ff6fbc592654e2470c8612b6932fcc4b5ee38ffa012d3485ec75936b999de972","target":"record","created_at":"2026-07-05T10:45:05Z","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":"1721655caf0adc5a3958d34ab9dc1c6bb471390f90961ebaf283257025ff6418","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-19T08:53:00Z","title_canon_sha256":"bf3504b57e9f13f96e3e032fdcaddec68f42982f5cab1d281b206a5b58a23a17"},"schema_version":"1.0","source":{"id":"2312.11952","kind":"arxiv","version":2}},"canonical_sha256":"740343022f58e79972be5cfd1f39c0fc850842703da31c8bd9f763be4e187d98","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"740343022f58e79972be5cfd1f39c0fc850842703da31c8bd9f763be4e187d98","first_computed_at":"2026-07-05T10:45:05.709401Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:45:05.709401Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wwrsXebfEftnDwp1BBtVr8WhS2QhgYGbTDBbR8oVZaWxkcNHB0/5HyATq5jCbQDFaDPaCPTP7XJ8QqAImF82Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:45:05.709837Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.11952","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ff6fbc592654e2470c8612b6932fcc4b5ee38ffa012d3485ec75936b999de972","sha256:e5f0c748533b36b9d94f4330b971163913caca342c2c86bda21d6d65127de815"],"state_sha256":"e7ad2f58033931f3bd2db6795c06e72e9a9bbe049f6f5106b03deb7c1c248395"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yi+kYXYtVzY00SvRq0757y/4aMDQfv5cp4AQcOzIEQhP1EhvxrEoOqrEBRi2XDFo1J3fs5zWTN1CtHqqy1BQBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T21:13:47.248793Z","bundle_sha256":"114e29ba7a16db4d939c21630b9cddc63e2a50c40fd7a32c89b9655ecbf38dd4"}}