{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:CVZBGRELWRILCUYXOMMYIC4NOX","short_pith_number":"pith:CVZBGREL","canonical_record":{"source":{"id":"1406.6319","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2014-06-24T17:26:18Z","cross_cats_sorted":[],"title_canon_sha256":"6801665354b8cdbee016d4bea74363e102543797f4ff499217b3a81e2477bffe","abstract_canon_sha256":"2bd6fae7b3cfb4dd060f58bce01fc2d54bc57b7282a693d5a4d38328b7ca305c"},"schema_version":"1.0"},"canonical_sha256":"157213448bb450b153177319840b8d75c99aa818df27816cbf27606839263c24","source":{"kind":"arxiv","id":"1406.6319","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1406.6319","created_at":"2026-05-18T02:29:38Z"},{"alias_kind":"arxiv_version","alias_value":"1406.6319v3","created_at":"2026-05-18T02:29:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1406.6319","created_at":"2026-05-18T02:29:38Z"},{"alias_kind":"pith_short_12","alias_value":"CVZBGRELWRIL","created_at":"2026-05-18T12:28:25Z"},{"alias_kind":"pith_short_16","alias_value":"CVZBGRELWRILCUYX","created_at":"2026-05-18T12:28:25Z"},{"alias_kind":"pith_short_8","alias_value":"CVZBGREL","created_at":"2026-05-18T12:28:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:CVZBGRELWRILCUYXOMMYIC4NOX","target":"record","payload":{"canonical_record":{"source":{"id":"1406.6319","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2014-06-24T17:26:18Z","cross_cats_sorted":[],"title_canon_sha256":"6801665354b8cdbee016d4bea74363e102543797f4ff499217b3a81e2477bffe","abstract_canon_sha256":"2bd6fae7b3cfb4dd060f58bce01fc2d54bc57b7282a693d5a4d38328b7ca305c"},"schema_version":"1.0"},"canonical_sha256":"157213448bb450b153177319840b8d75c99aa818df27816cbf27606839263c24","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:29:38.897646Z","signature_b64":"VJ78QnrioucfsHLnxJsQ5RkqUOKWdqf2cbLRIXMO9iHZDoe7KaYd/QDlCYWt4e/mFtWeJw/ouCx/Jjxdw3ueAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"157213448bb450b153177319840b8d75c99aa818df27816cbf27606839263c24","last_reissued_at":"2026-05-18T02:29:38.897183Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:29:38.897183Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1406.6319","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":"2026-05-18T02:29:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UAavAnPTw3kYoykUHGldzLVtQRBABO//uuSNgQGzM9b6m7H4jM5f8YuS/vpvWdDLYzIMVHV84U5wu7F8DTiRCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T16:06:04.636508Z"},"content_sha256":"e1e7bc799015eb7f1ed6f67d0f20e06f6357586903a9a1ccf397dc293e0c2fc4","schema_version":"1.0","event_id":"sha256:e1e7bc799015eb7f1ed6f67d0f20e06f6357586903a9a1ccf397dc293e0c2fc4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:CVZBGRELWRILCUYXOMMYIC4NOX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Techniques for clustering interaction data as a collection of graphs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ML","authors_text":"Carey Priebe, I-Jeng Wang, Michael Rosen, Nam H. Lee, Youngser Park","submitted_at":"2014-06-24T17:26:18Z","abstract_excerpt":"A natural approach to analyze interaction data of form \"what-connects-to-what-when\" is to create a time-series (or rather a sequence) of graphs through temporal discretization (bandwidth selection) and spatial discretization (vertex contraction). Such discretization together with non-negative factorization techniques can be useful for obtaining clustering of graphs. Motivating application of performing clustering of graphs (as opposed to vertex clustering) can be found in neuroscience and in social network analysis, and it can also be used to enhance community detection (i.e., vertex clusterin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1406.6319","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":""},"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":"2026-05-18T02:29:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mUTKJ2nAT85xWKgPhcB5/+LXin2R9+8Bzh6EacUW+ThsgW4nfXzQ2g+FWSWnDFdD+kwkJQwNS4b/p7NTRjuwAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T16:06:04.636875Z"},"content_sha256":"7e59d4d34c67159d6e08337f8906fef96cf5e8df501316f4ce56eb59dd32797b","schema_version":"1.0","event_id":"sha256:7e59d4d34c67159d6e08337f8906fef96cf5e8df501316f4ce56eb59dd32797b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CVZBGRELWRILCUYXOMMYIC4NOX/bundle.json","state_url":"https://pith.science/pith/CVZBGRELWRILCUYXOMMYIC4NOX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CVZBGRELWRILCUYXOMMYIC4NOX/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":"2026-06-03T16:06:04Z","links":{"resolver":"https://pith.science/pith/CVZBGRELWRILCUYXOMMYIC4NOX","bundle":"https://pith.science/pith/CVZBGRELWRILCUYXOMMYIC4NOX/bundle.json","state":"https://pith.science/pith/CVZBGRELWRILCUYXOMMYIC4NOX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CVZBGRELWRILCUYXOMMYIC4NOX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:CVZBGRELWRILCUYXOMMYIC4NOX","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":"2bd6fae7b3cfb4dd060f58bce01fc2d54bc57b7282a693d5a4d38328b7ca305c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2014-06-24T17:26:18Z","title_canon_sha256":"6801665354b8cdbee016d4bea74363e102543797f4ff499217b3a81e2477bffe"},"schema_version":"1.0","source":{"id":"1406.6319","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1406.6319","created_at":"2026-05-18T02:29:38Z"},{"alias_kind":"arxiv_version","alias_value":"1406.6319v3","created_at":"2026-05-18T02:29:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1406.6319","created_at":"2026-05-18T02:29:38Z"},{"alias_kind":"pith_short_12","alias_value":"CVZBGRELWRIL","created_at":"2026-05-18T12:28:25Z"},{"alias_kind":"pith_short_16","alias_value":"CVZBGRELWRILCUYX","created_at":"2026-05-18T12:28:25Z"},{"alias_kind":"pith_short_8","alias_value":"CVZBGREL","created_at":"2026-05-18T12:28:25Z"}],"graph_snapshots":[{"event_id":"sha256:7e59d4d34c67159d6e08337f8906fef96cf5e8df501316f4ce56eb59dd32797b","target":"graph","created_at":"2026-05-18T02:29:38Z","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":"A natural approach to analyze interaction data of form \"what-connects-to-what-when\" is to create a time-series (or rather a sequence) of graphs through temporal discretization (bandwidth selection) and spatial discretization (vertex contraction). Such discretization together with non-negative factorization techniques can be useful for obtaining clustering of graphs. Motivating application of performing clustering of graphs (as opposed to vertex clustering) can be found in neuroscience and in social network analysis, and it can also be used to enhance community detection (i.e., vertex clusterin","authors_text":"Carey Priebe, I-Jeng Wang, Michael Rosen, Nam H. Lee, Youngser Park","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2014-06-24T17:26:18Z","title":"Techniques for clustering interaction data as a collection of graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1406.6319","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:e1e7bc799015eb7f1ed6f67d0f20e06f6357586903a9a1ccf397dc293e0c2fc4","target":"record","created_at":"2026-05-18T02:29:38Z","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":"2bd6fae7b3cfb4dd060f58bce01fc2d54bc57b7282a693d5a4d38328b7ca305c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2014-06-24T17:26:18Z","title_canon_sha256":"6801665354b8cdbee016d4bea74363e102543797f4ff499217b3a81e2477bffe"},"schema_version":"1.0","source":{"id":"1406.6319","kind":"arxiv","version":3}},"canonical_sha256":"157213448bb450b153177319840b8d75c99aa818df27816cbf27606839263c24","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"157213448bb450b153177319840b8d75c99aa818df27816cbf27606839263c24","first_computed_at":"2026-05-18T02:29:38.897183Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:29:38.897183Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VJ78QnrioucfsHLnxJsQ5RkqUOKWdqf2cbLRIXMO9iHZDoe7KaYd/QDlCYWt4e/mFtWeJw/ouCx/Jjxdw3ueAw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:29:38.897646Z","signed_message":"canonical_sha256_bytes"},"source_id":"1406.6319","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e1e7bc799015eb7f1ed6f67d0f20e06f6357586903a9a1ccf397dc293e0c2fc4","sha256:7e59d4d34c67159d6e08337f8906fef96cf5e8df501316f4ce56eb59dd32797b"],"state_sha256":"bcf5c694d84b367a83c009f251323d01b7729ef1a7332b6941707f64baabab25"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fxw0XYJ5EREwOCkMXia8fJPEh5xBQ7nOdLAu6ubH6lI/K+qZzYPGBLk44zJtYd+ceEavzqd1pMH5zSrJp/yMDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T16:06:04.638966Z","bundle_sha256":"b4fc6b619670962f89cf619acf113c2045bc23bcc5d7d32033b7f5b9cc84ff63"}}