{"as_of":"2026-08-19T01:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:77ed715bae7c5821ac78d9b05cdb3ad2ba02e3645135b2cf346ddf167777897e","coverage":[{"denominator":56,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":56,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:51:35.399140Z","state":"measured"},{"denominator":56,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":56,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2504.14507/citation-record","integrity":"/paper/2504.14507/integrity","json":"/paper/2504.14507/citation-record.json","paper":"/paper/2504.14507"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.185636Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.185636Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:e4a21dc266f8a8491a68a8f56cee10b3dd06876adc4e9ee63d1a775bdcb922ba","observation_id":"4f31bc03-42bf-471e-a6b9-a00dec395ed5","resolution":{"observed_at":"2026-08-16T11:51:35.185636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.190932Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.190932Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:5bb67d31bc20820ab4dd0815ef0285b32c8de3efd4eccfc5c61f03ea9e407e7c","observation_id":"cd4073f4-f622-451a-972d-151bba322a71","resolution":{"observed_at":"2026-08-16T11:51:35.190932Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.194945Z","title":": Researchers misunderstand confidence intervals and standard error bars","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.194945Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:aaabcf6650fc81bd60265a5388a2bf876d325567d30f01b871f826ef42ad8728","observation_id":"fc82b7e3-138a-4cc6-aa8a-59dabdc44a4d","resolution":{"observed_at":"2026-08-16T11:51:35.194945Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.198677Z","title":"S., AlKadi M., Stoiber C., Huron S., Perin C., Morais L., Aigner W., Kosminsky D., Boucher M., Knudsen S., Manataki A., Aerts J., Hinrichs U., Roberts J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.198677Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:2dc99dbaff565149c161a1db1653095745e06815e11b42a011a61df9397594ce","observation_id":"28151ab4-5250-4e25-970e-73767f576bbe","resolution":{"observed_at":"2026-08-16T11:51:35.198677Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.32317","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:37.494892Z","title":": From invisible to visible: Impacts of metadata in communicative data visualization","venue":null,"work_id":"9da81c26-75bf-4e75-8925-80837f0e55f8","year":2024},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.202286Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:ab8102bbdd9a903b05503a02e69b66df071deb2691ec7a04435dd5c7d5d37daa","observation_id":"9631b28f-6dcf-4ff2-b62c-b3003be195c0","resolution":{"observed_at":"2026-08-16T11:51:37.500839Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.205729Z","title":": A multi-level typology of abstract visualization tasks","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.205729Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:aca9c19186e158722b5a2d927f6e444c1542ffa84ad00ec2ddefa06a592c98c8","observation_id":"ae4993cb-7f9c-41b2-a1a5-02c77c986959","resolution":{"observed_at":"2026-08-16T11:51:35.205729Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.209482Z","title":": How data workers cope with uncertainty: A task characterisation study","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.209482Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:1f8304f7d38054694896df0e0a83ac52407fd3472ca92fb6012e52a6713f86a0","observation_id":"425de8d7-5b2c-43d6-b14a-e6e1fc0bb88d","resolution":{"observed_at":"2026-08-16T11:51:35.209482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.213008Z","title":"J., Ottley A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.213008Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:4f59dbb7333187a731254b6be9f3ac3b4dfe3e7d633129d8e6fe31ce8688b47e","observation_id":"245c158d-947b-4814-975c-a2fc5184e5f9","resolution":{"observed_at":"2026-08-16T11:51:35.213008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1083/jcb.200611141","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.499998Z","title":null,"venue":null,"work_id":"faf2d861-fcc8-42df-9a45-979a7ee6ca55","year":2007},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.216941Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:e295935beec72f45884e615d8efb74e8076c5296e1de8f404f691b62484f2e63","observation_id":"d9715006-91aa-4a0c-a750-e8241095dd1c","resolution":{"observed_at":"2026-08-16T11:51:35.503639Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.220662Z","title":": Error bars considered harmful: Exploring alternate encodings for mean and error","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.220662Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:5fe0f41631ba9df617de55279aae7148e40054d5a07e7cff1c3a8499458bbd66","observation_id":"79aba1bf-c6cc-445c-b205-3cf202b774b3","resolution":{"observed_at":"2026-08-16T11:51:35.220662Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.224319Z","title":"W., Seo J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.224319Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:e0db9f4035fc35d41b8f6c1b946638486a46264c8dcb16c415a2beb0336e3303","observation_id":"d8845855-8370-4e1f-9663-a9392d2eb93d","resolution":{"observed_at":"2026-08-16T11:51:35.224319Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"0307.12325","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:37.196899Z","title":": From good to great: Improving math reasoning with tool-augmented interleaf prompting","venue":null,"work_id":"214c2c0c-af24-430e-a5ac-c109b91aeca6","year":2024},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.228190Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:6a679f385ab1b013f7acc993c0540f85ce944ab612e43275c112023d2f1bf243","observation_id":"888df586-7c39-4f88-b397-6a06a7eb5805","resolution":{"observed_at":"2026-08-16T11:51:37.202984Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.232108Z","title":": Linking text and visualizations via contextual knowledge graph","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.232108Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:f8c657b298dc135f0a330bb7b1dd09eca37ea11f218a00b5d9bdbe7ed304e8e5","observation_id":"b73290da-05ee-4695-aeff-2f1569fc629a","resolution":{"observed_at":"2026-08-16T11:51:35.232108Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1111/cgf.15099","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.489135Z","title":": AutoVizuA11y : A tool to automate screen reader accessibility in charts","venue":null,"work_id":"c7cd5dd4-5169-4da9-ab8c-4431db8b58ea","year":2024},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.235571Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:56ed27a9054282cd0bb6acfa0d1f4a43ad46370c8b6c2e7a6af8cb250fbd11d0","observation_id":"688c8d3e-82f6-48f8-8527-210eee93015e","resolution":{"observed_at":"2026-08-16T11:51:35.492741Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:37.617807Z","title":": Tagify","venue":null,"work_id":"7bc4b80c-9da1-44fe-8940-ae0b572d6941","year":2024},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.239268Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:f109fd73b1cd37b53cbf205114b8bb85ce5263a738984cf07e16e7e9bf294f0a","observation_id":"06b9e9e6-fbca-4f50-b2f7-3571a86b39da","resolution":{"observed_at":"2026-08-16T11:51:37.621461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.242966Z","title":": Uncertainty displays using quantile dotplots or CDF s improve transit decision-making","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.242966Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:526f83becccb7cb280802f005cb963e155168b14f342ca494ec4521b0d108209","observation_id":"381591d9-82fc-42cf-8f88-236332e09342","resolution":{"observed_at":"2026-08-16T11:51:35.242966Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.247223Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.247223Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:430094c8f41789386e72f588dea5f0989674b92333959b480dd46823487f20d7","observation_id":"619828a3-1ec4-4765-8696-613608b49851","resolution":{"observed_at":"2026-08-16T11:51:35.247223Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:37.606358Z","title":null,"venue":null,"work_id":"83af59e8-f5e6-4a97-a898-6b58d56ae6b5","year":2013},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.250978Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:138a8b25d17fad26b35ecfc5605ba6ace8c38955a732e0d26319f430eee0c188","observation_id":"db5d269e-e8be-47eb-8d40-efcde30896a1","resolution":{"observed_at":"2026-08-16T11:51:37.610132Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.254466Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.254466Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:e09b869ce8975af3ad51f45efcf454cec9cfee3c37fd776c613ca50456b60715","observation_id":"596d9209-101b-4c3a-bf71-5561d7372d21","resolution":{"observed_at":"2026-08-16T11:51:35.254466Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.257959Z","title":": FinFlier : Automating graphical overlays for financial visualizations with knowledge-grounding large language model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.257959Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:99daf4718173a317cdc37c7399cf79fa314e7551fede3d431e13fe48993c6adb","observation_id":"bd882bec-093e-4482-95d4-ef94b2665285","resolution":{"observed_at":"2026-08-16T11:51:35.257959Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.261503Z","title":": Visualizing uncertainty for non-expert end users: The challenge of the deterministic construal error","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.261503Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:690e2c0d99c1725fbffc76fe30ed3ac0813caf04c60a1f424643c36beb6ec157","observation_id":"aa710490-bd79-44e4-b34d-8df2e1df03f3","resolution":{"observed_at":"2026-08-16T11:51:35.261503Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/nmeth.2813","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.475533Z","title":": Visualizing samples with box plots: use box plots to illustrate the spread and differences of samples","venue":null,"work_id":"fb242d87-dd19-45e8-9a0a-8c590115f252","year":2014},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.265019Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:464fceaf8147f752ce21e09a592f647d8d1cef21f144accf9a26b0643a4f91e9","observation_id":"e74233af-55dd-431f-9cbd-4ba0ae1b4550","resolution":{"observed_at":"2026-08-16T11:51:35.480913Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.276066Z","title":": Visual reasoning strategies for effect size judgments and decisions","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.276066Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:7a01e0288b9bb04cc29c53b12dff5d53340b5f037baa0f320bc528f6631f9944","observation_id":"762b38e9-706e-48c6-9c07-d1425383d6fb","resolution":{"observed_at":"2026-08-16T11:51:35.276066Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.279507Z","title":"R., Munson S","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.279507Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:09fbf30a546513469f12a06bac3fc108bb0cdcdc3cbaff40d2a198fe4937a6c9","observation_id":"f1d36af6-bf35-4b14-ac02-fdd15272c39b","resolution":{"observed_at":"2026-08-16T11:51:35.279507Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.282822Z","title":": A deeper understanding of visualization‐text interplay in geographic data‐driven stories","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.282822Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:238dd6cbb7723d25f0e988d69555463601bcf98d50cf78f235338d002e014e93","observation_id":"ccd1df6b-d177-433e-8358-9fa6b25fd2c2","resolution":{"observed_at":"2026-08-16T11:51:35.282822Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.286247Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.286247Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:9f9d38cfa90d94a7caa53b4017b05c8fb8198974cfa953a7e4dd67f9f10a8cc3","observation_id":"63ffe499-8032-485f-967f-aefa6880a9d6","resolution":{"observed_at":"2026-08-16T11:51:35.286247Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.289703Z","title":": InkSight : Leveraging sketch interaction for documenting chart findings in computational notebooks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.289703Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:0ab7c42e6e4e5c5589c9beeb20cf88b3d9c4458e97e39013c9c37c7c7a7eaa9e","observation_id":"896ffaa7-3520-419f-9220-dedee80e1b7b","resolution":{"observed_at":"2026-08-16T11:51:35.289703Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.292813Z","title":": Accessible visualization via natural language descriptions: A four-level model of semantic content","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.292813Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:0f76edf460c6f2a3822b3824a44727002a8fa4bd3605acc9428f709266ab72ca","observation_id":"f1d67672-fe22-4d6b-899e-6d84c1aa68a8","resolution":{"observed_at":"2026-08-16T11:51:35.292813Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:37.594673Z","title":": Agent-oriented planning in multi-agent systems","venue":null,"work_id":"2dc6a1e4-d170-4eff-a43b-33d7dffb8f57","year":2025},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.296800Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:a73e9b981502a23ac413c83df2c5e13657fc0f61075bbcebbe3830538503a0fb","observation_id":"c213fc1b-e752-44f7-8003-95e3a0b0e38d","resolution":{"observed_at":"2026-08-16T11:51:37.598919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.301144Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.301144Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:6079158503f8433969c1dd7e1a503d630a4006a700ec9543b07ae3e2b77e2d00","observation_id":"acabebe4-ff70-4d1f-8b3d-68e447b6ec8b","resolution":{"observed_at":"2026-08-16T11:51:35.301144Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.305036Z","title":"S., L \\\"u decke D","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.305036Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:15235119ad5e356d6c933858c4cc6ffc310df30f79e299969c8c21a6aa29a284","observation_id":"c8a3e6b3-b1dd-4d14-aee4-1d64505f0730","resolution":{"observed_at":"2026-08-16T11:51:35.305036Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.308612Z","title":": Charagraph: Interactive generation of charts for realtime annotation of data-rich paragraphs","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.308612Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:350d5310369622aefbe4f080348153a8474d42d539b21be61f65d69ae90786a8","observation_id":"17dc11d3-a2e9-46aa-bb28-1dc9b2977f94","resolution":{"observed_at":"2026-08-16T11:51:35.308612Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.312177Z","title":": Statslator: Interactive translation of nhst and estimation statistics reporting styles in scientific documents","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.312177Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:68cc1065f446ba4bc70494baef79b72ae8b517312b2c11fb7f8ddddf64900ad6","observation_id":"ae588fba-4342-448e-98d7-2ff9da411864","resolution":{"observed_at":"2026-08-16T11:51:35.312177Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.316400Z","title":"J., Peck E","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.316400Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:d129c36ffa0e6475fcffc0e2f669bf73b0567193d9bc3e448d24d86cab744c5f","observation_id":"74ab74d7-c398-44f5-9e2e-c3dd64416015","resolution":{"observed_at":"2026-08-16T11:51:35.316400Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:37.583346Z","title":"https://platform.openai.com/docs/api-reference/chat, 2024","venue":null,"work_id":"452a8c68-cff5-40d1-bf5a-1aa7fb6ef13e","year":2024},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.320099Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:64d37f487689856d7564431ebdd6a9737384980c0011c7023bd382697d52c48c","observation_id":"f824b59e-7928-407c-bf51-4a48c1c93dfe","resolution":{"observed_at":"2026-08-16T11:51:37.587465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.323574Z","title":": Uncertainty visualization","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.323574Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:39cb700d44bcdb57413e458e749c90f8437d2a4dfa712244067fe1ec10cf8a8a","observation_id":"4542c66f-486d-4e42-8080-473e42ee2b6f","resolution":{"observed_at":"2026-08-16T11:51:35.323574Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.327287Z","title":": Mini- VLAT : A short and effective measure of visualization literacy","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.327287Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:cdd3304f8633010e5ba6a7e044e0795e6ff10af49fb2ded7c4eeaa3e3e73f10e","observation_id":"40c4a44a-4c1b-4b8e-a3ff-e8be9742f9a7","resolution":{"observed_at":"2026-08-16T11:51:35.327287Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.330772Z","title":"M., Ruginski I","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.330772Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:6ebac237c99bbae7d8472319d2e33d7d0776a14ce0a2701856719282b5cce0df","observation_id":"5a493cff-ed38-4b25-88bc-8ae83f6c804d","resolution":{"observed_at":"2026-08-16T11:51:35.330772Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.334694Z","title":"T., Boone A","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.334694Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:11e3361b760076dedea5ed3812a585525129d0f0d10ac04110c14c7d6c1d1d1f","observation_id":"5176a622-b503-4158-bbe5-59a8a7e3c885","resolution":{"observed_at":"2026-08-16T11:51:35.334694Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.06581","last_updated":"2025-03-27T16:16:09Z","snapshot_observed_at":"2026-08-18T12:32:09.276205Z","submitted_at":"2024-07-09T06:20:17Z","title":"Vision language models are blind: Failing to translate detailed visual features into words","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.06581","snapshot_observed_at":"2026-08-16T11:51:35.338457Z","title":"R., Nguyen A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.338457Z"},"links":{"cited_paper":"/paper/2407.06581","citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:752729daab484733d6538994c6ca21c177aaebfb85a378c4a1f8f58577b40861","observation_id":"22733819-6813-4eb6-b3fb-90380aba5c39","resolution":{"observed_at":"2026-08-16T11:51:35.338457Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.342555Z","title":": Leveraging text-chart links to support authoring of data-driven articles with VizFlow","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.342555Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:386d88b96a82030f3c8e9bb71670f8449f0239f6b2a32d703dbffbed4ef6dfb4","observation_id":"550742d7-0d49-44e1-9a21-6ab18771add5","resolution":{"observed_at":"2026-08-16T11:51:35.342555Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.346123Z","title":"M., Endert A., Stasko J","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.346123Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:a769f482618e701d62025dc4439520d044b20755d3112667792995eb1412eecd","observation_id":"1359a9e5-c46a-469e-a5ea-83a785e95e21","resolution":{"observed_at":"2026-08-16T11:51:35.346123Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.349670Z","title":": Augmenting realistic charts with virtual overlays","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.349670Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:4e149eb52552eb04749ecf0c81c11348205f3008378be99b29e752547702474a","observation_id":"0a0200df-0c47-411f-a7d1-1a3caf3394a0","resolution":{"observed_at":"2026-08-16T11:51:35.349670Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.353317Z","title":": Data playwright: Authoring data videos with annotated narration","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.353317Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:3d0b8b146a32567861ffce2612572f77c1d2608a90c73391e2bd437dc51efd11","observation_id":"15eff86c-b875-413d-9a49-51c1332f33e8","resolution":{"observed_at":"2026-08-16T11:51:35.353317Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.360499Z","title":": Orko: Facilitating multimodal interaction for visual exploration and analysis of networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.360499Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:1ae618d752dc44e630e967ab9e011edbf4bc8f5554cee7d279d2d8886fd3d842","observation_id":"a34fc2a0-3383-4be5-989c-4fbf6121601e","resolution":{"observed_at":"2026-08-16T11:51:35.360499Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.364307Z","title":": DataTales : Investigating the use of large language models for authoring data-driven articles","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.364307Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:a725b4242d7c4fb83de8e2029df7dfee54d9a8d41b7af604b12bbf823a5ee41a","observation_id":"d8c64eb7-30a3-443d-a110-7ca0464ba09e","resolution":{"observed_at":"2026-08-16T11:51:35.364307Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.367890Z","title":": Towards natural language interfaces for data visualization: A survey","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.367890Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:60c4f5efbcc6c24472c316e7da4befa723601be72e487d86b8a73056bc394983","observation_id":"9329967b-40bb-4be5-8a0f-f9dca8e2a007","resolution":{"observed_at":"2026-08-16T11:51:35.367890Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.371532Z","title":": Knowing what to look for: A fact-evidence reasoning framework for decoding communicative visualization","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.371532Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:962c3d3dee8b04e4e39f9acbce6299a23c3a2554db616208ea728544ab07371c","observation_id":"39c93b97-9974-4b61-9534-76e2d7e4e84e","resolution":{"observed_at":"2026-08-16T11:51:35.371532Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.374979Z","title":": Active reading of visualizations","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.374979Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:a7e65f4178a544c8e4c3fd40525abcd46dfab6fbe15b4d0ed37c3215d3c0f216","observation_id":"57d4e7a5-13e5-492c-be6d-4cb98b228b06","resolution":{"observed_at":"2026-08-16T11:51:35.374979Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:37.570195Z","title":null,"venue":null,"work_id":"8a57de73-55e4-4819-8ac3-650f5264521b","year":1993},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.378370Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:9f848eab3e2d30ab14bfb9a71edf5acf9c7bf8c0b094885063eb6064fe4e6ae9","observation_id":"15b79d7d-f2b5-4a77-b721-14eefe4150bb","resolution":{"observed_at":"2026-08-16T11:51:37.574008Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.381612Z","title":": Wonderflow: Narration-centric design of animated data videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.381612Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:462e02159905428b3c27240d0b456ea73e720a384ad4ebe07894dda9f9686f7e","observation_id":"db8697b1-c782-4c9a-8113-b75b13c4d6c7","resolution":{"observed_at":"2026-08-16T11:51:35.381612Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.384910Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.384910Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:ddb37402bdb298c69fc0ca553f1c52133bd4cd6d6ae5dff4f21d625ccd910bf0","observation_id":"d3341552-c8a2-4880-9171-eb84a837906a","resolution":{"observed_at":"2026-08-16T11:51:35.384910Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.388270Z","title":"S., Kang Y","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.388270Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:b84fccc7dbbf3befda18bccd41c7aa27d0eb58aa1ef252ccf1a9534b75a7f502","observation_id":"2b507db0-1632-4ef5-b6bd-dadae05250e8","resolution":{"observed_at":"2026-08-16T11:51:35.388270Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.391785Z","title":": Advancing multimodal large language models in chart question answering with visualization-referenced instruction tuning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.391785Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:27d94eadb2e164381d50c31f4873bbf074a8dd085951b0de0743f9c075d89b99","observation_id":"15dd3722-bf8d-4eaa-a9fe-43699307dc30","resolution":{"observed_at":"2026-08-16T11:51:35.391785Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:51:35.395147Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.395147Z"},"links":{"citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:3733db74e76eb17e91e74b79177c057b30dfbb9bf7936b6a279281daa2510613","observation_id":"e2fb57f1-1562-4754-a5bb-c3bd05fa8cf5","resolution":{"observed_at":"2026-08-16T11:51:35.395147Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.03784","last_updated":"2025-02-06T05:17:12Z","snapshot_observed_at":"2026-08-18T00:56:30.990218Z","submitted_at":"2025-02-06T05:17:12Z","title":"GistVis: Automatic Generation of Word-scale Visualizations from Data-rich Documents","version":1},"cited_work":{"arxiv_id":"2502.03784","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.03784","snapshot_observed_at":"2026-08-16T11:51:35.528094Z","title":"GistVis: Automatic Generation of Word-scale Visualizations from Data-rich Documents","venue":"cs.HC","work_id":"7dd70eb0-3e50-4812-a800-f62111ceba9e","year":2025},"citing_paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-16T11:51:35.399140Z"},"links":{"cited_paper":"/paper/2502.03784","citing_paper":"/paper/2504.14507"},"observation_digest":"sha256:99f36ce7b90ae55cf12882cef8a9b0743a7f25887cfc6b85e1f7e0cbaf934502","observation_id":"3db1aa29-d8ce-4042-b3af-7b5f6fde19ce","resolution":{"observed_at":"2026-08-16T11:51:35.532121Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2504.14507","last_updated":"2025-04-20T06:40:58Z","latest_version":1,"primary_category":"cs.HC","snapshot_observed_at":"2026-08-18T10:08:14.897736Z","submitted_at":"2025-04-20T06:40:58Z","title":"VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface"},"reference_resolution":{"displayed":56,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":47,"verified_exact":5,"verified_fuzzy":3},"total_outbound_references":56},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2504.14507."}