{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:2PUVE4KAO72INDJNPQAZVKJ34E","short_pith_number":"pith:2PUVE4KA","canonical_record":{"source":{"id":"1807.06641","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2018-07-17T19:56:12Z","cross_cats_sorted":[],"title_canon_sha256":"287e5ca401c34f21e1fdd839d835514227caadf3c45b2dfd981f7d2a54a774fb","abstract_canon_sha256":"f625d296ce58bca3424af3949dc91a52b0c229041cb8cb8a0c8cb467d006795e"},"schema_version":"1.0"},"canonical_sha256":"d3e952714077f4868d2d7c019aa93be1037b2f04f068c89f72b80f9b52682985","source":{"kind":"arxiv","id":"1807.06641","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.06641","created_at":"2026-05-18T00:07:58Z"},{"alias_kind":"arxiv_version","alias_value":"1807.06641v2","created_at":"2026-05-18T00:07:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.06641","created_at":"2026-05-18T00:07:58Z"},{"alias_kind":"pith_short_12","alias_value":"2PUVE4KAO72I","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"2PUVE4KAO72INDJN","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"2PUVE4KA","created_at":"2026-05-18T12:32:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:2PUVE4KAO72INDJNPQAZVKJ34E","target":"record","payload":{"canonical_record":{"source":{"id":"1807.06641","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2018-07-17T19:56:12Z","cross_cats_sorted":[],"title_canon_sha256":"287e5ca401c34f21e1fdd839d835514227caadf3c45b2dfd981f7d2a54a774fb","abstract_canon_sha256":"f625d296ce58bca3424af3949dc91a52b0c229041cb8cb8a0c8cb467d006795e"},"schema_version":"1.0"},"canonical_sha256":"d3e952714077f4868d2d7c019aa93be1037b2f04f068c89f72b80f9b52682985","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:07:58.065648Z","signature_b64":"3HdowTfOKGJ6Okwup6V5YIhbTi6tJJvIknAZi5whNHfB9Xy3wRod1NOxPaMpxc/WC/+a7iXLhNRncY+MUVvZCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d3e952714077f4868d2d7c019aa93be1037b2f04f068c89f72b80f9b52682985","last_reissued_at":"2026-05-18T00:07:58.064953Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:07:58.064953Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.06641","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:07:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s/MqtK+U3E0k1f62YbdCKpghWT0ScwnNRq/lPr1U51vzzVwr8u5jIZjlJhe8tObSdZ7vG5EVs6xe5itKnqrSAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T05:10:55.911420Z"},"content_sha256":"43c93d802a0b2239d13085836ee25e00e53a90bb8947c239a0a5f78d684dda28","schema_version":"1.0","event_id":"sha256:43c93d802a0b2239d13085836ee25e00e53a90bb8947c239a0a5f78d684dda28"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:2PUVE4KAO72INDJNPQAZVKJ34E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Beyond Heuristics: Learning Visualization Design","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Bahador Saket, Cagatay Demiralp, Dominik Moritz, Halden Lin, Jeffrey Heer, Victor Dibia","submitted_at":"2018-07-17T19:56:12Z","abstract_excerpt":"In this paper, we describe a research agenda for deriving design principles directly from data. We argue that it is time to go beyond manually curated and applied visualization design guidelines. We propose learning models of visualization design from data collected using graphical perception studies and build tools powered by the learned models. To achieve this vision, we need to 1) develop scalable methods for collecting training data, 2) collect different forms of training data, 3) advance interpretability of machine learning models, and 4) develop adaptive models that evolve as more data b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.06641","kind":"arxiv","version":2},"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":"2026-05-18T00:07:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u54DGZr47TUGt8T2dHMTBOwSABBzVNn4omnE8B6WLVjfoGga8JvE9bAbAnRNUV66QPp5NOEwtVZ3HvAHvpEdCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T05:10:55.912149Z"},"content_sha256":"e1218ec913eba593a3404c4e20e0ae259e684458f2cb3523deb863065fd82cc7","schema_version":"1.0","event_id":"sha256:e1218ec913eba593a3404c4e20e0ae259e684458f2cb3523deb863065fd82cc7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2PUVE4KAO72INDJNPQAZVKJ34E/bundle.json","state_url":"https://pith.science/pith/2PUVE4KAO72INDJNPQAZVKJ34E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2PUVE4KAO72INDJNPQAZVKJ34E/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":"2026-05-31T05:10:55Z","links":{"resolver":"https://pith.science/pith/2PUVE4KAO72INDJNPQAZVKJ34E","bundle":"https://pith.science/pith/2PUVE4KAO72INDJNPQAZVKJ34E/bundle.json","state":"https://pith.science/pith/2PUVE4KAO72INDJNPQAZVKJ34E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2PUVE4KAO72INDJNPQAZVKJ34E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:2PUVE4KAO72INDJNPQAZVKJ34E","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":"f625d296ce58bca3424af3949dc91a52b0c229041cb8cb8a0c8cb467d006795e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2018-07-17T19:56:12Z","title_canon_sha256":"287e5ca401c34f21e1fdd839d835514227caadf3c45b2dfd981f7d2a54a774fb"},"schema_version":"1.0","source":{"id":"1807.06641","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.06641","created_at":"2026-05-18T00:07:58Z"},{"alias_kind":"arxiv_version","alias_value":"1807.06641v2","created_at":"2026-05-18T00:07:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.06641","created_at":"2026-05-18T00:07:58Z"},{"alias_kind":"pith_short_12","alias_value":"2PUVE4KAO72I","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"2PUVE4KAO72INDJN","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"2PUVE4KA","created_at":"2026-05-18T12:32:02Z"}],"graph_snapshots":[{"event_id":"sha256:e1218ec913eba593a3404c4e20e0ae259e684458f2cb3523deb863065fd82cc7","target":"graph","created_at":"2026-05-18T00:07:58Z","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 describe a research agenda for deriving design principles directly from data. We argue that it is time to go beyond manually curated and applied visualization design guidelines. We propose learning models of visualization design from data collected using graphical perception studies and build tools powered by the learned models. To achieve this vision, we need to 1) develop scalable methods for collecting training data, 2) collect different forms of training data, 3) advance interpretability of machine learning models, and 4) develop adaptive models that evolve as more data b","authors_text":"Bahador Saket, Cagatay Demiralp, Dominik Moritz, Halden Lin, Jeffrey Heer, Victor Dibia","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2018-07-17T19:56:12Z","title":"Beyond Heuristics: Learning Visualization Design"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.06641","kind":"arxiv","version":2},"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":"sha256:43c93d802a0b2239d13085836ee25e00e53a90bb8947c239a0a5f78d684dda28","target":"record","created_at":"2026-05-18T00:07:58Z","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":"f625d296ce58bca3424af3949dc91a52b0c229041cb8cb8a0c8cb467d006795e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2018-07-17T19:56:12Z","title_canon_sha256":"287e5ca401c34f21e1fdd839d835514227caadf3c45b2dfd981f7d2a54a774fb"},"schema_version":"1.0","source":{"id":"1807.06641","kind":"arxiv","version":2}},"canonical_sha256":"d3e952714077f4868d2d7c019aa93be1037b2f04f068c89f72b80f9b52682985","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d3e952714077f4868d2d7c019aa93be1037b2f04f068c89f72b80f9b52682985","first_computed_at":"2026-05-18T00:07:58.064953Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:07:58.064953Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3HdowTfOKGJ6Okwup6V5YIhbTi6tJJvIknAZi5whNHfB9Xy3wRod1NOxPaMpxc/WC/+a7iXLhNRncY+MUVvZCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:07:58.065648Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.06641","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:43c93d802a0b2239d13085836ee25e00e53a90bb8947c239a0a5f78d684dda28","sha256:e1218ec913eba593a3404c4e20e0ae259e684458f2cb3523deb863065fd82cc7"],"state_sha256":"5a47cdfb0338c4d1bc31d603f961219a47428551a13753d1f5e47867da8c8e97"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3NJx67nNTOqm0Aygw0atFlvxaCFNyAvH0Jb9lvzfUYjkHmHDA4RCNWkedAOz7w4IBtDXkHAtex+TUM2f6INODA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T05:10:55.916849Z","bundle_sha256":"af1fdb14a10741eb9351ef68d94c33f3d028f8d8b532fa45d1a0445db8cd3579"}}