{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:GBO6IMDFGYO3YZI3ZNF7GN6RPG","short_pith_number":"pith:GBO6IMDF","canonical_record":{"source":{"id":"1608.05772","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2016-08-20T03:18:57Z","cross_cats_sorted":[],"title_canon_sha256":"8c4c6746584673ed201bc013b23e8a1f8c01355d2f7934dc33c997310788941a","abstract_canon_sha256":"0050f3fb5199983f9128b6768eb47374876d297c2b4145f22ebb4ed11477278b"},"schema_version":"1.0"},"canonical_sha256":"305de43065361dbc651bcb4bf337d179bac632f66efd3eb7c48607834fb9f6bc","source":{"kind":"arxiv","id":"1608.05772","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.05772","created_at":"2026-05-18T01:08:23Z"},{"alias_kind":"arxiv_version","alias_value":"1608.05772v1","created_at":"2026-05-18T01:08:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.05772","created_at":"2026-05-18T01:08:23Z"},{"alias_kind":"pith_short_12","alias_value":"GBO6IMDFGYO3","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"GBO6IMDFGYO3YZI3","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"GBO6IMDF","created_at":"2026-05-18T12:30:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:GBO6IMDFGYO3YZI3ZNF7GN6RPG","target":"record","payload":{"canonical_record":{"source":{"id":"1608.05772","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2016-08-20T03:18:57Z","cross_cats_sorted":[],"title_canon_sha256":"8c4c6746584673ed201bc013b23e8a1f8c01355d2f7934dc33c997310788941a","abstract_canon_sha256":"0050f3fb5199983f9128b6768eb47374876d297c2b4145f22ebb4ed11477278b"},"schema_version":"1.0"},"canonical_sha256":"305de43065361dbc651bcb4bf337d179bac632f66efd3eb7c48607834fb9f6bc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:08:23.269208Z","signature_b64":"bWZwknXiOhsUrd4TVjYf0t0UnkJq1WVWj5cuVJAUZl5ip5PmrKmMa5V94gw1pG9gz0lnnns20UMG/b4vT55cBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"305de43065361dbc651bcb4bf337d179bac632f66efd3eb7c48607834fb9f6bc","last_reissued_at":"2026-05-18T01:08:23.268575Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:08:23.268575Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1608.05772","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":"2026-05-18T01:08:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8f3FVI0G7tezGat3gMX7f2cHVB6fG0lJIu1e33pGKdf215c4RK0EmOiHYgCHv+M8wWheSemj0sIpnsinyEIfCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T16:00:54.288596Z"},"content_sha256":"b8a8b7f1a4b96aad821be809eb9e00f1052065fe85df351c0d4488d09f492ded","schema_version":"1.0","event_id":"sha256:b8a8b7f1a4b96aad821be809eb9e00f1052065fe85df351c0d4488d09f492ded"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:GBO6IMDFGYO3YZI3ZNF7GN6RPG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Data-Driven Approach for Mapping Multivariate Data to Color","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.GR","authors_text":"Klaus Mueller, Shenghui Cheng, Wei Xu, Wen Zhong","submitted_at":"2016-08-20T03:18:57Z","abstract_excerpt":"A wide variety of color schemes have been devised for mapping scalar data to color. Some use the data value to index a color scale. Others assign colors to different, usually blended disjoint materials, to handle areas where materials overlap. A number of methods can map low-dimensional data to color, however, these methods do not scale to higher dimensional data. Likewise, schemes that take a more artistic approach through color mixing and the like also face limits when it comes to the number of variables they can encode. We address the challenge of mapping multivariate data to color and avoi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.05772","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":"2026-05-18T01:08:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oK2AHCRq7AKtqhe9z/ZEwK005FNLaiVm6CsCwlF7Z6xup6Sfqvg2NbelOcooXec6jYAYKkuHV44jhEAeAJi0Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T16:00:54.288939Z"},"content_sha256":"cd2c3aa5318bc95e67ee01e376088bb850895406c74f5e2d88548e0c6ca099b3","schema_version":"1.0","event_id":"sha256:cd2c3aa5318bc95e67ee01e376088bb850895406c74f5e2d88548e0c6ca099b3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GBO6IMDFGYO3YZI3ZNF7GN6RPG/bundle.json","state_url":"https://pith.science/pith/GBO6IMDFGYO3YZI3ZNF7GN6RPG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GBO6IMDFGYO3YZI3ZNF7GN6RPG/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":"2026-06-05T16:00:54Z","links":{"resolver":"https://pith.science/pith/GBO6IMDFGYO3YZI3ZNF7GN6RPG","bundle":"https://pith.science/pith/GBO6IMDFGYO3YZI3ZNF7GN6RPG/bundle.json","state":"https://pith.science/pith/GBO6IMDFGYO3YZI3ZNF7GN6RPG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GBO6IMDFGYO3YZI3ZNF7GN6RPG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:GBO6IMDFGYO3YZI3ZNF7GN6RPG","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":"0050f3fb5199983f9128b6768eb47374876d297c2b4145f22ebb4ed11477278b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2016-08-20T03:18:57Z","title_canon_sha256":"8c4c6746584673ed201bc013b23e8a1f8c01355d2f7934dc33c997310788941a"},"schema_version":"1.0","source":{"id":"1608.05772","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.05772","created_at":"2026-05-18T01:08:23Z"},{"alias_kind":"arxiv_version","alias_value":"1608.05772v1","created_at":"2026-05-18T01:08:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.05772","created_at":"2026-05-18T01:08:23Z"},{"alias_kind":"pith_short_12","alias_value":"GBO6IMDFGYO3","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"GBO6IMDFGYO3YZI3","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"GBO6IMDF","created_at":"2026-05-18T12:30:15Z"}],"graph_snapshots":[{"event_id":"sha256:cd2c3aa5318bc95e67ee01e376088bb850895406c74f5e2d88548e0c6ca099b3","target":"graph","created_at":"2026-05-18T01:08:23Z","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 wide variety of color schemes have been devised for mapping scalar data to color. Some use the data value to index a color scale. Others assign colors to different, usually blended disjoint materials, to handle areas where materials overlap. A number of methods can map low-dimensional data to color, however, these methods do not scale to higher dimensional data. Likewise, schemes that take a more artistic approach through color mixing and the like also face limits when it comes to the number of variables they can encode. We address the challenge of mapping multivariate data to color and avoi","authors_text":"Klaus Mueller, Shenghui Cheng, Wei Xu, Wen Zhong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2016-08-20T03:18:57Z","title":"A Data-Driven Approach for Mapping Multivariate Data to Color"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.05772","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:b8a8b7f1a4b96aad821be809eb9e00f1052065fe85df351c0d4488d09f492ded","target":"record","created_at":"2026-05-18T01:08:23Z","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":"0050f3fb5199983f9128b6768eb47374876d297c2b4145f22ebb4ed11477278b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2016-08-20T03:18:57Z","title_canon_sha256":"8c4c6746584673ed201bc013b23e8a1f8c01355d2f7934dc33c997310788941a"},"schema_version":"1.0","source":{"id":"1608.05772","kind":"arxiv","version":1}},"canonical_sha256":"305de43065361dbc651bcb4bf337d179bac632f66efd3eb7c48607834fb9f6bc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"305de43065361dbc651bcb4bf337d179bac632f66efd3eb7c48607834fb9f6bc","first_computed_at":"2026-05-18T01:08:23.268575Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:08:23.268575Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bWZwknXiOhsUrd4TVjYf0t0UnkJq1WVWj5cuVJAUZl5ip5PmrKmMa5V94gw1pG9gz0lnnns20UMG/b4vT55cBA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:08:23.269208Z","signed_message":"canonical_sha256_bytes"},"source_id":"1608.05772","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b8a8b7f1a4b96aad821be809eb9e00f1052065fe85df351c0d4488d09f492ded","sha256:cd2c3aa5318bc95e67ee01e376088bb850895406c74f5e2d88548e0c6ca099b3"],"state_sha256":"8675b73b0aea4e271748441892feb6216c844ad5c9c42f2017aa98b7e96d44d1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g+d6RvRG/eduCDrNjh9rCFtlMxF6TSY/huMPVBwzlhgY++l+7S35MwqQOAEqOM5OzUZvhFHo4oAHplCtMbOqBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T16:00:54.290866Z","bundle_sha256":"225d75238c7ea3b7c75578c75195acdd7bf5c22b707e99c8e32e8e73b03ff7be"}}