{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:BOAIEYI5XXLB5DPV57FA3X5KB3","short_pith_number":"pith:BOAIEYI5","canonical_record":{"source":{"id":"2605.30225","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T16:57:00Z","cross_cats_sorted":[],"title_canon_sha256":"2e087e570d9950cbda251587117a7b40f76f85b1a0c9411e126da352b9ded533","abstract_canon_sha256":"aa707ff3869174ba1fd4adb34441b696a5c3ca9dba9d72d43a1dd393af661bbd"},"schema_version":"1.0"},"canonical_sha256":"0b8082611dbdd61e8df5efca0ddfaa0ef4f88c963e1cabb89c6fa95d9ba5d6d8","source":{"kind":"arxiv","id":"2605.30225","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30225","created_at":"2026-05-29T02:06:13Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30225v1","created_at":"2026-05-29T02:06:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30225","created_at":"2026-05-29T02:06:13Z"},{"alias_kind":"pith_short_12","alias_value":"BOAIEYI5XXLB","created_at":"2026-05-29T02:06:13Z"},{"alias_kind":"pith_short_16","alias_value":"BOAIEYI5XXLB5DPV","created_at":"2026-05-29T02:06:13Z"},{"alias_kind":"pith_short_8","alias_value":"BOAIEYI5","created_at":"2026-05-29T02:06:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:BOAIEYI5XXLB5DPV57FA3X5KB3","target":"record","payload":{"canonical_record":{"source":{"id":"2605.30225","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T16:57:00Z","cross_cats_sorted":[],"title_canon_sha256":"2e087e570d9950cbda251587117a7b40f76f85b1a0c9411e126da352b9ded533","abstract_canon_sha256":"aa707ff3869174ba1fd4adb34441b696a5c3ca9dba9d72d43a1dd393af661bbd"},"schema_version":"1.0"},"canonical_sha256":"0b8082611dbdd61e8df5efca0ddfaa0ef4f88c963e1cabb89c6fa95d9ba5d6d8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T02:06:13.329594Z","signature_b64":"j//iHpKF2ArP5IXgKKzP8DvcNiEL/HC/WRiAev4/fNkwdL+7Of5zuqsqSKU6epPHgF/A2107e19ktPDt1Fb/Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0b8082611dbdd61e8df5efca0ddfaa0ef4f88c963e1cabb89c6fa95d9ba5d6d8","last_reissued_at":"2026-05-29T02:06:13.329242Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T02:06:13.329242Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.30225","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":"2026-05-29T02:06:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZiC7TX59+bZFmvFtnO93CldEkHADcx5Z0rI7eqBZ4vvjBUcv4fzMWX7iEj3J6HprisSQqVqlOTfp5n5SGhJlBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T17:17:40.765184Z"},"content_sha256":"a41241f98aa2ac355a6bcf132ba2eb152ea48f7fab55165922c81af92db84a5d","schema_version":"1.0","event_id":"sha256:a41241f98aa2ac355a6bcf132ba2eb152ea48f7fab55165922c81af92db84a5d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:BOAIEYI5XXLB5DPV57FA3X5KB3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ExDBSCAN: Explaining DBSCAN with Counterfactual Reasoning -- Additional Material","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Artur Zimek, Ira Assent, Lena Krieger, Pernille Matthews, Thomas Seidl, Tommaso Amico","submitted_at":"2026-05-28T16:57:00Z","abstract_excerpt":"Clustering is an unsupervised technique for grouping data points by similarity. While explainability methods exist for supervised machine learning, they are not directly applicable to clustering, making it challenging to understand cluster assignments. This interpretability gap is particularly evident in the popular density-based method DBSCAN, which assigns points as inliers (cluster members in dense regions) or outliers (noise points in sparse regions). DBSCAN does not provide insight into why a particular point receives its assignment or whether its assignment is robust to small changes in "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30225","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/2605.30225/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":"2026-05-29T02:06:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ivAyuJOnZ7/Yg79DzsHdm3mL7RK2E4vASllb8Hzee0dYVR56Cg4Nqw13mlE+kg+lYnN6dCcOApDpcdSw7fzxDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T17:17:40.765936Z"},"content_sha256":"d33b29d429f480e1c7a966234c8dec5f7230ea4ecedda1d8a45ed3d9f10bc2be","schema_version":"1.0","event_id":"sha256:d33b29d429f480e1c7a966234c8dec5f7230ea4ecedda1d8a45ed3d9f10bc2be"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BOAIEYI5XXLB5DPV57FA3X5KB3/bundle.json","state_url":"https://pith.science/pith/BOAIEYI5XXLB5DPV57FA3X5KB3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BOAIEYI5XXLB5DPV57FA3X5KB3/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":"2026-05-31T17:17:40Z","links":{"resolver":"https://pith.science/pith/BOAIEYI5XXLB5DPV57FA3X5KB3","bundle":"https://pith.science/pith/BOAIEYI5XXLB5DPV57FA3X5KB3/bundle.json","state":"https://pith.science/pith/BOAIEYI5XXLB5DPV57FA3X5KB3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BOAIEYI5XXLB5DPV57FA3X5KB3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BOAIEYI5XXLB5DPV57FA3X5KB3","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":"aa707ff3869174ba1fd4adb34441b696a5c3ca9dba9d72d43a1dd393af661bbd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T16:57:00Z","title_canon_sha256":"2e087e570d9950cbda251587117a7b40f76f85b1a0c9411e126da352b9ded533"},"schema_version":"1.0","source":{"id":"2605.30225","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30225","created_at":"2026-05-29T02:06:13Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30225v1","created_at":"2026-05-29T02:06:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30225","created_at":"2026-05-29T02:06:13Z"},{"alias_kind":"pith_short_12","alias_value":"BOAIEYI5XXLB","created_at":"2026-05-29T02:06:13Z"},{"alias_kind":"pith_short_16","alias_value":"BOAIEYI5XXLB5DPV","created_at":"2026-05-29T02:06:13Z"},{"alias_kind":"pith_short_8","alias_value":"BOAIEYI5","created_at":"2026-05-29T02:06:13Z"}],"graph_snapshots":[{"event_id":"sha256:d33b29d429f480e1c7a966234c8dec5f7230ea4ecedda1d8a45ed3d9f10bc2be","target":"graph","created_at":"2026-05-29T02:06:13Z","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/2605.30225/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Clustering is an unsupervised technique for grouping data points by similarity. While explainability methods exist for supervised machine learning, they are not directly applicable to clustering, making it challenging to understand cluster assignments. This interpretability gap is particularly evident in the popular density-based method DBSCAN, which assigns points as inliers (cluster members in dense regions) or outliers (noise points in sparse regions). DBSCAN does not provide insight into why a particular point receives its assignment or whether its assignment is robust to small changes in ","authors_text":"Artur Zimek, Ira Assent, Lena Krieger, Pernille Matthews, Thomas Seidl, Tommaso Amico","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T16:57:00Z","title":"ExDBSCAN: Explaining DBSCAN with Counterfactual Reasoning -- Additional Material"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30225","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:a41241f98aa2ac355a6bcf132ba2eb152ea48f7fab55165922c81af92db84a5d","target":"record","created_at":"2026-05-29T02:06:13Z","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":"aa707ff3869174ba1fd4adb34441b696a5c3ca9dba9d72d43a1dd393af661bbd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T16:57:00Z","title_canon_sha256":"2e087e570d9950cbda251587117a7b40f76f85b1a0c9411e126da352b9ded533"},"schema_version":"1.0","source":{"id":"2605.30225","kind":"arxiv","version":1}},"canonical_sha256":"0b8082611dbdd61e8df5efca0ddfaa0ef4f88c963e1cabb89c6fa95d9ba5d6d8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0b8082611dbdd61e8df5efca0ddfaa0ef4f88c963e1cabb89c6fa95d9ba5d6d8","first_computed_at":"2026-05-29T02:06:13.329242Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T02:06:13.329242Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"j//iHpKF2ArP5IXgKKzP8DvcNiEL/HC/WRiAev4/fNkwdL+7Of5zuqsqSKU6epPHgF/A2107e19ktPDt1Fb/Cw==","signature_status":"signed_v1","signed_at":"2026-05-29T02:06:13.329594Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.30225","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a41241f98aa2ac355a6bcf132ba2eb152ea48f7fab55165922c81af92db84a5d","sha256:d33b29d429f480e1c7a966234c8dec5f7230ea4ecedda1d8a45ed3d9f10bc2be"],"state_sha256":"afcb60e413cad69b7a34e5d96b0d7d19464c839138c4f92fb86a6b8a857a860b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"95xT2mRDZiOm0SI0p8+y7xYTbYeRJmNTEzt6xThUzg/ZNzvPYDI7Yq20Gj02osxM1BVOIk04DNNprnD0u4aCAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T17:17:40.770251Z","bundle_sha256":"e8032cb311e327ac5fb0a7eb7b59c48b396e5e21a2265c664b615e63151c1205"}}