{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:6GX3OCSZUBISXBRMWN2Z3OZZNC","short_pith_number":"pith:6GX3OCSZ","canonical_record":{"source":{"id":"1601.02603","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-01-11T01:20:26Z","cross_cats_sorted":["cs.DS"],"title_canon_sha256":"8cbaf2c16e498503e0279f70f9b6202eb2663533ac552f79b31452478959d09e","abstract_canon_sha256":"dc4a6ccfb22a52421fe485b3fa2a1f020505e6e7d23fdda1e5fd88d4c53f0e31"},"schema_version":"1.0"},"canonical_sha256":"f1afb70a59a0512b862cb3759dbb39688fdcb8068ea8654d6c7a9df039a4b86b","source":{"kind":"arxiv","id":"1601.02603","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1601.02603","created_at":"2026-05-18T01:23:01Z"},{"alias_kind":"arxiv_version","alias_value":"1601.02603v1","created_at":"2026-05-18T01:23:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1601.02603","created_at":"2026-05-18T01:23:01Z"},{"alias_kind":"pith_short_12","alias_value":"6GX3OCSZUBIS","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_16","alias_value":"6GX3OCSZUBISXBRM","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_8","alias_value":"6GX3OCSZ","created_at":"2026-05-18T12:30:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:6GX3OCSZUBISXBRMWN2Z3OZZNC","target":"record","payload":{"canonical_record":{"source":{"id":"1601.02603","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-01-11T01:20:26Z","cross_cats_sorted":["cs.DS"],"title_canon_sha256":"8cbaf2c16e498503e0279f70f9b6202eb2663533ac552f79b31452478959d09e","abstract_canon_sha256":"dc4a6ccfb22a52421fe485b3fa2a1f020505e6e7d23fdda1e5fd88d4c53f0e31"},"schema_version":"1.0"},"canonical_sha256":"f1afb70a59a0512b862cb3759dbb39688fdcb8068ea8654d6c7a9df039a4b86b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:23:01.957998Z","signature_b64":"f+s/S+NGq8UGU8MOuKid3NxJ+DoEJdexl1A2bmd6iFbAjk6yzoCnb66FdE9wHIGNlY2xf0AJZnobSEOxTrJGCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f1afb70a59a0512b862cb3759dbb39688fdcb8068ea8654d6c7a9df039a4b86b","last_reissued_at":"2026-05-18T01:23:01.957285Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:23:01.957285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1601.02603","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":"2026-05-18T01:23:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RxMeB2iqj3SFubdX0lJ2uvtL5VYz5gjYxtGyNl0cFNZS1mpXaTJ1xt9iXjn3bqOz3nJFS+Ara3Xu3pyu6ww3Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T10:03:55.296687Z"},"content_sha256":"7ec4394142a3e3af5efcee79ddd31c6a632942672a9e9173cc43729c7602ad22","schema_version":"1.0","event_id":"sha256:7ec4394142a3e3af5efcee79ddd31c6a632942672a9e9173cc43729c7602ad22"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:6GX3OCSZUBISXBRMWN2Z3OZZNC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"How to Use Temporal-Driven Constrained Clustering to Detect Typical Evolutions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DS"],"primary_cat":"cs.LG","authors_text":"Julien Velcin, Marian-Andrei Rizoiu, St\\'ephane Lallich","submitted_at":"2016-01-11T01:20:26Z","abstract_excerpt":"In this paper, we propose a new time-aware dissimilarity measure that takes into account the temporal dimension. Observations that are close in the description space, but distant in time are considered as dissimilar. We also propose a method to enforce the segmentation contiguity, by introducing, in the objective function, a penalty term inspired from the Normal Distribution Function. We combine the two propositions into a novel time-driven constrained clustering algorithm, called TDCK-Means, which creates a partition of coherent clusters, both in the multidimensional space and in the temporal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1601.02603","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":""},"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":"2026-05-18T01:23:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sVT6eFJcuAL29ffGKE+/gVPfeSIzHy1SOhbHq4Kf8AB7LX+VYIhzkjBXdmIIEaUr/tW/xY+Oy0HCW0fYI7m9Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T10:03:55.297036Z"},"content_sha256":"0be8790d459e8f62e149d3e1cfabc6cbf13e30c3de8b951cc35661f24531cab9","schema_version":"1.0","event_id":"sha256:0be8790d459e8f62e149d3e1cfabc6cbf13e30c3de8b951cc35661f24531cab9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6GX3OCSZUBISXBRMWN2Z3OZZNC/bundle.json","state_url":"https://pith.science/pith/6GX3OCSZUBISXBRMWN2Z3OZZNC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6GX3OCSZUBISXBRMWN2Z3OZZNC/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":"2026-06-03T10:03:55Z","links":{"resolver":"https://pith.science/pith/6GX3OCSZUBISXBRMWN2Z3OZZNC","bundle":"https://pith.science/pith/6GX3OCSZUBISXBRMWN2Z3OZZNC/bundle.json","state":"https://pith.science/pith/6GX3OCSZUBISXBRMWN2Z3OZZNC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6GX3OCSZUBISXBRMWN2Z3OZZNC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:6GX3OCSZUBISXBRMWN2Z3OZZNC","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":"dc4a6ccfb22a52421fe485b3fa2a1f020505e6e7d23fdda1e5fd88d4c53f0e31","cross_cats_sorted":["cs.DS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-01-11T01:20:26Z","title_canon_sha256":"8cbaf2c16e498503e0279f70f9b6202eb2663533ac552f79b31452478959d09e"},"schema_version":"1.0","source":{"id":"1601.02603","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1601.02603","created_at":"2026-05-18T01:23:01Z"},{"alias_kind":"arxiv_version","alias_value":"1601.02603v1","created_at":"2026-05-18T01:23:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1601.02603","created_at":"2026-05-18T01:23:01Z"},{"alias_kind":"pith_short_12","alias_value":"6GX3OCSZUBIS","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_16","alias_value":"6GX3OCSZUBISXBRM","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_8","alias_value":"6GX3OCSZ","created_at":"2026-05-18T12:30:01Z"}],"graph_snapshots":[{"event_id":"sha256:0be8790d459e8f62e149d3e1cfabc6cbf13e30c3de8b951cc35661f24531cab9","target":"graph","created_at":"2026-05-18T01:23:01Z","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 this paper, we propose a new time-aware dissimilarity measure that takes into account the temporal dimension. Observations that are close in the description space, but distant in time are considered as dissimilar. We also propose a method to enforce the segmentation contiguity, by introducing, in the objective function, a penalty term inspired from the Normal Distribution Function. We combine the two propositions into a novel time-driven constrained clustering algorithm, called TDCK-Means, which creates a partition of coherent clusters, both in the multidimensional space and in the temporal","authors_text":"Julien Velcin, Marian-Andrei Rizoiu, St\\'ephane Lallich","cross_cats":["cs.DS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-01-11T01:20:26Z","title":"How to Use Temporal-Driven Constrained Clustering to Detect Typical Evolutions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1601.02603","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":"sha256:7ec4394142a3e3af5efcee79ddd31c6a632942672a9e9173cc43729c7602ad22","target":"record","created_at":"2026-05-18T01:23:01Z","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":"dc4a6ccfb22a52421fe485b3fa2a1f020505e6e7d23fdda1e5fd88d4c53f0e31","cross_cats_sorted":["cs.DS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-01-11T01:20:26Z","title_canon_sha256":"8cbaf2c16e498503e0279f70f9b6202eb2663533ac552f79b31452478959d09e"},"schema_version":"1.0","source":{"id":"1601.02603","kind":"arxiv","version":1}},"canonical_sha256":"f1afb70a59a0512b862cb3759dbb39688fdcb8068ea8654d6c7a9df039a4b86b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f1afb70a59a0512b862cb3759dbb39688fdcb8068ea8654d6c7a9df039a4b86b","first_computed_at":"2026-05-18T01:23:01.957285Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:23:01.957285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f+s/S+NGq8UGU8MOuKid3NxJ+DoEJdexl1A2bmd6iFbAjk6yzoCnb66FdE9wHIGNlY2xf0AJZnobSEOxTrJGCA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:23:01.957998Z","signed_message":"canonical_sha256_bytes"},"source_id":"1601.02603","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7ec4394142a3e3af5efcee79ddd31c6a632942672a9e9173cc43729c7602ad22","sha256:0be8790d459e8f62e149d3e1cfabc6cbf13e30c3de8b951cc35661f24531cab9"],"state_sha256":"8ca7ee6fd0283ac09cbe960f30a7e7a2a467ac62a89085a2cc4f4befc4b871ed"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jc8gVqWHkNTYNR6WJaNhfpU4ELg7yf1RqYwRiLS1TO8e/eLZzY6vJkbYAiCx0cYbhYxMEKfaLUqKRQxLhQZzCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T10:03:55.299407Z","bundle_sha256":"09f22f9a163c0cc0741d0320651508ba438557c07df06fcf798b763d9613ff34"}}