{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:OOGLEW65Q7HTMRTVI6O3WU4Y52","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":"a096dd16c7c07e4ccb4c75b240fc6e6f4ef242e82f2bb6fc1a4d392e286c4d06","cross_cats_sorted":["cs.CV","cs.DS","cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2019-08-16T15:14:19Z","title_canon_sha256":"f580a31fede88af4576fb1962e62631c2334cf963cba78ce6cc124b16f70172c"},"schema_version":"1.0","source":{"id":"1908.10410","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.10410","created_at":"2026-07-05T00:29:39Z"},{"alias_kind":"arxiv_version","alias_value":"1908.10410v3","created_at":"2026-07-05T00:29:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.10410","created_at":"2026-07-05T00:29:39Z"},{"alias_kind":"pith_short_12","alias_value":"OOGLEW65Q7HT","created_at":"2026-07-05T00:29:39Z"},{"alias_kind":"pith_short_16","alias_value":"OOGLEW65Q7HTMRTV","created_at":"2026-07-05T00:29:39Z"},{"alias_kind":"pith_short_8","alias_value":"OOGLEW65","created_at":"2026-07-05T00:29:39Z"}],"graph_snapshots":[{"event_id":"sha256:5a410e422bd364f620efd8f54cbf2840f0fbfc69fa5c06744c81aa462ad5bdd5","target":"graph","created_at":"2026-07-05T00:29:39Z","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/1908.10410/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The chemical sciences are producing an unprecedented amount of large, high-dimensional data sets containing chemical structures and associated properties. However, there are currently no algorithms to visualize such data while preserving both global and local features with a sufficient level of detail to allow for human inspection and interpretation. Here, we propose a solution to this problem with a new data visualization method, TMAP, capable of representing data sets of up to millions of data points and arbitrary high dimensionality as a two-dimensional tree (http://tmap.gdb.tools). Visuali","authors_text":"Daniel Probst, Jean-Louis Reymond","cross_cats":["cs.CV","cs.DS","cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2019-08-16T15:14:19Z","title":"Visualization of Very Large High-Dimensional Data Sets as Minimum Spanning Trees"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.10410","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:d0c0f6a8a044e998d51d38bfe0cc5436add1b3e96af5930606724d83f2b71c7a","target":"record","created_at":"2026-07-05T00:29:39Z","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":"a096dd16c7c07e4ccb4c75b240fc6e6f4ef242e82f2bb6fc1a4d392e286c4d06","cross_cats_sorted":["cs.CV","cs.DS","cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2019-08-16T15:14:19Z","title_canon_sha256":"f580a31fede88af4576fb1962e62631c2334cf963cba78ce6cc124b16f70172c"},"schema_version":"1.0","source":{"id":"1908.10410","kind":"arxiv","version":3}},"canonical_sha256":"738cb25bdd87cf364675479dbb5398eeb5fb4e67fd9a1c8ebc7970361975b0a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"738cb25bdd87cf364675479dbb5398eeb5fb4e67fd9a1c8ebc7970361975b0a6","first_computed_at":"2026-07-05T00:29:39.755263Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:29:39.755263Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Wk89obfmWplDke7kzCEUzgF+xC5Sd+2BxID+Sf5kK/Z7Rl9ip6LOQbh8nHkP3B20tsrE9vzBFv8pHc6cEny/Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:29:39.755650Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.10410","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d0c0f6a8a044e998d51d38bfe0cc5436add1b3e96af5930606724d83f2b71c7a","sha256:5a410e422bd364f620efd8f54cbf2840f0fbfc69fa5c06744c81aa462ad5bdd5"],"state_sha256":"0bd886e9e1a8284d47b36ca0ecc39a6c9e739be7d64cf35201189784b0963919"}