{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:JSGCVQRBS6634N3EIRME52JAM5","short_pith_number":"pith:JSGCVQRB","canonical_record":{"source":{"id":"1905.02366","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2019-05-07T06:15:28Z","cross_cats_sorted":[],"title_canon_sha256":"0afb7a4abe56c315caba11de327fe8f8c7d9090011320da02c7aeec3ad262e19","abstract_canon_sha256":"bd71d0f0ef5cf71b6d6c642b8ef531a75f1d0fd0ae55fe0784c7ec8e4fe568cd"},"schema_version":"1.0"},"canonical_sha256":"4c8c2ac22197bdbe376444584ee9206760a9f4505531df3768373964924d5329","source":{"kind":"arxiv","id":"1905.02366","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.02366","created_at":"2026-05-17T23:43:49Z"},{"alias_kind":"arxiv_version","alias_value":"1905.02366v3","created_at":"2026-05-17T23:43:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.02366","created_at":"2026-05-17T23:43:49Z"},{"alias_kind":"pith_short_12","alias_value":"JSGCVQRBS663","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"JSGCVQRBS6634N3E","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"JSGCVQRB","created_at":"2026-05-18T12:33:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:JSGCVQRBS6634N3EIRME52JAM5","target":"record","payload":{"canonical_record":{"source":{"id":"1905.02366","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2019-05-07T06:15:28Z","cross_cats_sorted":[],"title_canon_sha256":"0afb7a4abe56c315caba11de327fe8f8c7d9090011320da02c7aeec3ad262e19","abstract_canon_sha256":"bd71d0f0ef5cf71b6d6c642b8ef531a75f1d0fd0ae55fe0784c7ec8e4fe568cd"},"schema_version":"1.0"},"canonical_sha256":"4c8c2ac22197bdbe376444584ee9206760a9f4505531df3768373964924d5329","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:49.434453Z","signature_b64":"iSGX8htea46c2iNZCm1xw3FP0gtLEOX2sSt7ZHxlmktHR4qwfWjXH8+hC++MPu5Z8goxnSmiwCwKvuRn1OOSCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4c8c2ac22197bdbe376444584ee9206760a9f4505531df3768373964924d5329","last_reissued_at":"2026-05-17T23:43:49.433734Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:49.433734Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1905.02366","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":"2026-05-17T23:43:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K6ZtaenFcvZuQznrCVT9MxkmJOEc+FK0fqj7+zaRUNCOXsbFqnCgLLZyHhTSInNpxvSu6c2up1KgLU9vrzG+Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T20:02:34.856308Z"},"content_sha256":"922bcd2092909790855b2354fe4dfb3cedbf62f08d43419320d8284e7b05aed5","schema_version":"1.0","event_id":"sha256:922bcd2092909790855b2354fe4dfb3cedbf62f08d43419320d8284e7b05aed5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:JSGCVQRBS6634N3EIRME52JAM5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"What Do People See in a Twenty-Second Glimpse of Bivariate Vector Field Visualizations?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.GR","authors_text":"Garnett W. Bryant, Henan Zhao, Jian Chen, Judith E. Terrill, Wesley Griffin","submitted_at":"2019-05-07T06:15:28Z","abstract_excerpt":"Little is known about how people learn from a brief glimpse of three-dimensional (3D) bivariate vector field visualizations and about how well visual features can guide behavior. Here we report empirical study results on the use of color, texture, and length to guide viewing of bivariate glyphs: these three visual features are mapped to the first integer variable (v1) and length to the second quantitative variable (v2). Participants performed two tasks within 20 seconds: (1) MAX: find the largest v2 when v1 is fixed; (2) SEARCH: find a specific bivariate variable shown on the screen in a vecto"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.02366","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":"2026-05-17T23:43:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P91fBouuGQ7mrrhxrW5DkSRgy/UTzlXEC4yhJoy7/P5vVTyPwqsCBX8XyO0zeY9eTId1g/8UL7tWKzFIDSv4CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T20:02:34.857103Z"},"content_sha256":"d184615a4022e91dbeb86df74ecf8d99f80ede34941dcc5fc06b519e40b25692","schema_version":"1.0","event_id":"sha256:d184615a4022e91dbeb86df74ecf8d99f80ede34941dcc5fc06b519e40b25692"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JSGCVQRBS6634N3EIRME52JAM5/bundle.json","state_url":"https://pith.science/pith/JSGCVQRBS6634N3EIRME52JAM5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JSGCVQRBS6634N3EIRME52JAM5/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":"2026-06-11T20:02:34Z","links":{"resolver":"https://pith.science/pith/JSGCVQRBS6634N3EIRME52JAM5","bundle":"https://pith.science/pith/JSGCVQRBS6634N3EIRME52JAM5/bundle.json","state":"https://pith.science/pith/JSGCVQRBS6634N3EIRME52JAM5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JSGCVQRBS6634N3EIRME52JAM5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:JSGCVQRBS6634N3EIRME52JAM5","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":"bd71d0f0ef5cf71b6d6c642b8ef531a75f1d0fd0ae55fe0784c7ec8e4fe568cd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2019-05-07T06:15:28Z","title_canon_sha256":"0afb7a4abe56c315caba11de327fe8f8c7d9090011320da02c7aeec3ad262e19"},"schema_version":"1.0","source":{"id":"1905.02366","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.02366","created_at":"2026-05-17T23:43:49Z"},{"alias_kind":"arxiv_version","alias_value":"1905.02366v3","created_at":"2026-05-17T23:43:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.02366","created_at":"2026-05-17T23:43:49Z"},{"alias_kind":"pith_short_12","alias_value":"JSGCVQRBS663","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"JSGCVQRBS6634N3E","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"JSGCVQRB","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:d184615a4022e91dbeb86df74ecf8d99f80ede34941dcc5fc06b519e40b25692","target":"graph","created_at":"2026-05-17T23:43:49Z","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":"Little is known about how people learn from a brief glimpse of three-dimensional (3D) bivariate vector field visualizations and about how well visual features can guide behavior. Here we report empirical study results on the use of color, texture, and length to guide viewing of bivariate glyphs: these three visual features are mapped to the first integer variable (v1) and length to the second quantitative variable (v2). Participants performed two tasks within 20 seconds: (1) MAX: find the largest v2 when v1 is fixed; (2) SEARCH: find a specific bivariate variable shown on the screen in a vecto","authors_text":"Garnett W. Bryant, Henan Zhao, Jian Chen, Judith E. Terrill, Wesley Griffin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2019-05-07T06:15:28Z","title":"What Do People See in a Twenty-Second Glimpse of Bivariate Vector Field Visualizations?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.02366","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":"sha256:922bcd2092909790855b2354fe4dfb3cedbf62f08d43419320d8284e7b05aed5","target":"record","created_at":"2026-05-17T23:43:49Z","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":"bd71d0f0ef5cf71b6d6c642b8ef531a75f1d0fd0ae55fe0784c7ec8e4fe568cd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2019-05-07T06:15:28Z","title_canon_sha256":"0afb7a4abe56c315caba11de327fe8f8c7d9090011320da02c7aeec3ad262e19"},"schema_version":"1.0","source":{"id":"1905.02366","kind":"arxiv","version":3}},"canonical_sha256":"4c8c2ac22197bdbe376444584ee9206760a9f4505531df3768373964924d5329","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4c8c2ac22197bdbe376444584ee9206760a9f4505531df3768373964924d5329","first_computed_at":"2026-05-17T23:43:49.433734Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:43:49.433734Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iSGX8htea46c2iNZCm1xw3FP0gtLEOX2sSt7ZHxlmktHR4qwfWjXH8+hC++MPu5Z8goxnSmiwCwKvuRn1OOSCA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:43:49.434453Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.02366","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:922bcd2092909790855b2354fe4dfb3cedbf62f08d43419320d8284e7b05aed5","sha256:d184615a4022e91dbeb86df74ecf8d99f80ede34941dcc5fc06b519e40b25692"],"state_sha256":"d3ec33b5aaa94effd332cbd24a6367508882709a4ebe9b96a8528193869f86eb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rseCOOsDC1kjitywfjkay5dq3d1ELIm99CFVn5V0P5vATLxcYpa94WanPc6Df2Nfcd4i51bh0Z8gDldPkBK3DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T20:02:34.861349Z","bundle_sha256":"8aa668c3d3ee6304b830f5b46658b78cb61a35fb9d114e81661e501e9f36c1a4"}}