{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:NYHJHVZNSWDKODDUH4TS4N3XGP","short_pith_number":"pith:NYHJHVZN","schema_version":"1.0","canonical_sha256":"6e0e93d72d9586a70c743f272e377733f40dd79d196dff46203230d8946d22ac","source":{"kind":"arxiv","id":"1609.00719","version":1},"attestation_state":"computed","paper":{"title":"Peacock Bundles: Bundle Coloring for Graphs with Globality-Locality Trade-off","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.CG","authors_text":"Jaakko Peltonen, Ziyuan Lin","submitted_at":"2016-09-02T00:09:48Z","abstract_excerpt":"Bundling of graph edges (node-to-node connections) is a common technique to enhance visibility of overall trends in the edge structure of a large graph layout, and a large variety of bundling algorithms have been proposed. However, with strong bundling, it becomes hard to identify origins and destinations of individual edges. We propose a solution: we optimize edge coloring to differentiate bundled edges. We quantify strength of bundling in a flexible pairwise fashion between edges, and among bundled edges, we quantify how dissimilar their colors should be by dissimilarity of their origins and"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1609.00719","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CG","submitted_at":"2016-09-02T00:09:48Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"e464448c0d9fcc3e70502d9b793f446d8643e620d409b0a2ae7032433b3a2f41","abstract_canon_sha256":"2e89dc5baffa48a6152424293b1e25184535bc138db7f32af2079785e1cde5da"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:06:20.117355Z","signature_b64":"/AQdqui9t7Q33U4rShqAksdf/UFpqcUTpb0fVTCs1cO+7cD2Sk2bYTa8ZSASF36mzNGoApAcP6OnGgk9bKUNAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6e0e93d72d9586a70c743f272e377733f40dd79d196dff46203230d8946d22ac","last_reissued_at":"2026-05-18T01:06:20.116630Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:06:20.116630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Peacock Bundles: Bundle Coloring for Graphs with Globality-Locality Trade-off","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.CG","authors_text":"Jaakko Peltonen, Ziyuan Lin","submitted_at":"2016-09-02T00:09:48Z","abstract_excerpt":"Bundling of graph edges (node-to-node connections) is a common technique to enhance visibility of overall trends in the edge structure of a large graph layout, and a large variety of bundling algorithms have been proposed. However, with strong bundling, it becomes hard to identify origins and destinations of individual edges. We propose a solution: we optimize edge coloring to differentiate bundled edges. We quantify strength of bundling in a flexible pairwise fashion between edges, and among bundled edges, we quantify how dissimilar their colors should be by dissimilarity of their origins and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1609.00719","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1609.00719","created_at":"2026-05-18T01:06:20.116749+00:00"},{"alias_kind":"arxiv_version","alias_value":"1609.00719v1","created_at":"2026-05-18T01:06:20.116749+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1609.00719","created_at":"2026-05-18T01:06:20.116749+00:00"},{"alias_kind":"pith_short_12","alias_value":"NYHJHVZNSWDK","created_at":"2026-05-18T12:30:36.002864+00:00"},{"alias_kind":"pith_short_16","alias_value":"NYHJHVZNSWDKODDU","created_at":"2026-05-18T12:30:36.002864+00:00"},{"alias_kind":"pith_short_8","alias_value":"NYHJHVZN","created_at":"2026-05-18T12:30:36.002864+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/NYHJHVZNSWDKODDUH4TS4N3XGP","json":"https://pith.science/pith/NYHJHVZNSWDKODDUH4TS4N3XGP.json","graph_json":"https://pith.science/api/pith-number/NYHJHVZNSWDKODDUH4TS4N3XGP/graph.json","events_json":"https://pith.science/api/pith-number/NYHJHVZNSWDKODDUH4TS4N3XGP/events.json","paper":"https://pith.science/paper/NYHJHVZN"},"agent_actions":{"view_html":"https://pith.science/pith/NYHJHVZNSWDKODDUH4TS4N3XGP","download_json":"https://pith.science/pith/NYHJHVZNSWDKODDUH4TS4N3XGP.json","view_paper":"https://pith.science/paper/NYHJHVZN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1609.00719&json=true","fetch_graph":"https://pith.science/api/pith-number/NYHJHVZNSWDKODDUH4TS4N3XGP/graph.json","fetch_events":"https://pith.science/api/pith-number/NYHJHVZNSWDKODDUH4TS4N3XGP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NYHJHVZNSWDKODDUH4TS4N3XGP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NYHJHVZNSWDKODDUH4TS4N3XGP/action/storage_attestation","attest_author":"https://pith.science/pith/NYHJHVZNSWDKODDUH4TS4N3XGP/action/author_attestation","sign_citation":"https://pith.science/pith/NYHJHVZNSWDKODDUH4TS4N3XGP/action/citation_signature","submit_replication":"https://pith.science/pith/NYHJHVZNSWDKODDUH4TS4N3XGP/action/replication_record"}},"created_at":"2026-05-18T01:06:20.116749+00:00","updated_at":"2026-05-18T01:06:20.116749+00:00"}