{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UR4KX36K25P2XLVWG7E4HG3OJQ","short_pith_number":"pith:UR4KX36K","canonical_record":{"source":{"id":"2608.07093","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-08-07T10:41:55Z","cross_cats_sorted":[],"title_canon_sha256":"704b7ac1f9eb2856cd5b65c324a938bacf7a13a05f1bfb5adfe1b99bb51b039b","abstract_canon_sha256":"c0b88425eb26cf4e251aab3fc96fbbfcf561dc5d643c4c2d5b96493d16dab76f"},"schema_version":"1.0"},"canonical_sha256":"a478abefcad75fabaeb637c9c39b6e4c03b2a020c778c41a7256b080052b4000","source":{"kind":"arxiv","id":"2608.07093","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.07093","created_at":"2026-08-10T01:13:12Z"},{"alias_kind":"arxiv_version","alias_value":"2608.07093v1","created_at":"2026-08-10T01:13:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.07093","created_at":"2026-08-10T01:13:12Z"},{"alias_kind":"pith_short_12","alias_value":"UR4KX36K25P2","created_at":"2026-08-10T01:13:12Z"},{"alias_kind":"pith_short_16","alias_value":"UR4KX36K25P2XLVW","created_at":"2026-08-10T01:13:12Z"},{"alias_kind":"pith_short_8","alias_value":"UR4KX36K","created_at":"2026-08-10T01:13:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UR4KX36K25P2XLVWG7E4HG3OJQ","target":"record","payload":{"canonical_record":{"source":{"id":"2608.07093","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-08-07T10:41:55Z","cross_cats_sorted":[],"title_canon_sha256":"704b7ac1f9eb2856cd5b65c324a938bacf7a13a05f1bfb5adfe1b99bb51b039b","abstract_canon_sha256":"c0b88425eb26cf4e251aab3fc96fbbfcf561dc5d643c4c2d5b96493d16dab76f"},"schema_version":"1.0"},"canonical_sha256":"a478abefcad75fabaeb637c9c39b6e4c03b2a020c778c41a7256b080052b4000","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-10T01:13:12.099101Z","signature_b64":"HDLMz59wVvSY8BcheRnxLwhimRsdzGbdNB3NYNxWSPzXFmTzSGrvPs2E5/uy7MLET8ywWeb+EUc0XJmz700aBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a478abefcad75fabaeb637c9c39b6e4c03b2a020c778c41a7256b080052b4000","last_reissued_at":"2026-08-10T01:13:12.096663Z","signature_status":"signed_v1","first_computed_at":"2026-08-10T01:13:12.096663Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.07093","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-10T01:13:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LFSFIgoj3efIDU+GtCbQfwtkJmu6sRt+vEYbvIzMT0oFz9W0UfJFyhuFutvq/8MOzQUoeJXyF0Xi202S3tU+Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T11:10:41.096910Z"},"content_sha256":"ec4117084c12f443c126012972f1b13d5d441843483db0c362716d7366d8909d","schema_version":"1.0","event_id":"sha256:ec4117084c12f443c126012972f1b13d5d441843483db0c362716d7366d8909d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UR4KX36K25P2XLVWG7E4HG3OJQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"UncertaintyVis: Preserving Linguistic Uncertainty in Automated Text-to-Chart Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Anthony Tang, Emily Aurelia, Songheng Zhang","submitted_at":"2026-08-07T10:41:55Z","abstract_excerpt":"Data-rich documents pair narrative text with quantitative claims, and authors routinely qualify those claims with linguistic uncertainty markers such as \"nearly,\" \"approximately,\" or \"at least.\" Automated text-to-chart systems discard these markers, producing visualizations that appear definitive even when the source text expresses hedged or incomplete knowledge. Readers may then over-interpret precision and misjudge author intent. We present UncertaintyVis, a system that preserves linguistic uncertainty during automated chart generation. A formative corpus analysis of 211 uncertainty expressi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.07093","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2608.07093/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-08-10T01:13:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"meK7plm0Mixn42u/Wno8SE6gm44ak1gObQHSRN2jN9I/uvMicnLE8YhFOYiHVG7CI8hIPLpqwOkGUbDwCRwTAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T11:10:41.097220Z"},"content_sha256":"a18b910d2e30a5befe95de3f2dfa8419e6fa3133c9063aee61b23ac3e9847f24","schema_version":"1.0","event_id":"sha256:a18b910d2e30a5befe95de3f2dfa8419e6fa3133c9063aee61b23ac3e9847f24"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UR4KX36K25P2XLVWG7E4HG3OJQ/bundle.json","state_url":"https://pith.science/pith/UR4KX36K25P2XLVWG7E4HG3OJQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UR4KX36K25P2XLVWG7E4HG3OJQ/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":"2026-08-14T11:10:41Z","links":{"resolver":"https://pith.science/pith/UR4KX36K25P2XLVWG7E4HG3OJQ","bundle":"https://pith.science/pith/UR4KX36K25P2XLVWG7E4HG3OJQ/bundle.json","state":"https://pith.science/pith/UR4KX36K25P2XLVWG7E4HG3OJQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UR4KX36K25P2XLVWG7E4HG3OJQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UR4KX36K25P2XLVWG7E4HG3OJQ","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":"c0b88425eb26cf4e251aab3fc96fbbfcf561dc5d643c4c2d5b96493d16dab76f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-08-07T10:41:55Z","title_canon_sha256":"704b7ac1f9eb2856cd5b65c324a938bacf7a13a05f1bfb5adfe1b99bb51b039b"},"schema_version":"1.0","source":{"id":"2608.07093","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.07093","created_at":"2026-08-10T01:13:12Z"},{"alias_kind":"arxiv_version","alias_value":"2608.07093v1","created_at":"2026-08-10T01:13:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.07093","created_at":"2026-08-10T01:13:12Z"},{"alias_kind":"pith_short_12","alias_value":"UR4KX36K25P2","created_at":"2026-08-10T01:13:12Z"},{"alias_kind":"pith_short_16","alias_value":"UR4KX36K25P2XLVW","created_at":"2026-08-10T01:13:12Z"},{"alias_kind":"pith_short_8","alias_value":"UR4KX36K","created_at":"2026-08-10T01:13:12Z"}],"graph_snapshots":[{"event_id":"sha256:a18b910d2e30a5befe95de3f2dfa8419e6fa3133c9063aee61b23ac3e9847f24","target":"graph","created_at":"2026-08-10T01:13:12Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2608.07093/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Data-rich documents pair narrative text with quantitative claims, and authors routinely qualify those claims with linguistic uncertainty markers such as \"nearly,\" \"approximately,\" or \"at least.\" Automated text-to-chart systems discard these markers, producing visualizations that appear definitive even when the source text expresses hedged or incomplete knowledge. Readers may then over-interpret precision and misjudge author intent. We present UncertaintyVis, a system that preserves linguistic uncertainty during automated chart generation. A formative corpus analysis of 211 uncertainty expressi","authors_text":"Anthony Tang, Emily Aurelia, Songheng Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-08-07T10:41:55Z","title":"UncertaintyVis: Preserving Linguistic Uncertainty in Automated Text-to-Chart Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.07093","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:ec4117084c12f443c126012972f1b13d5d441843483db0c362716d7366d8909d","target":"record","created_at":"2026-08-10T01:13:12Z","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":"c0b88425eb26cf4e251aab3fc96fbbfcf561dc5d643c4c2d5b96493d16dab76f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-08-07T10:41:55Z","title_canon_sha256":"704b7ac1f9eb2856cd5b65c324a938bacf7a13a05f1bfb5adfe1b99bb51b039b"},"schema_version":"1.0","source":{"id":"2608.07093","kind":"arxiv","version":1}},"canonical_sha256":"a478abefcad75fabaeb637c9c39b6e4c03b2a020c778c41a7256b080052b4000","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a478abefcad75fabaeb637c9c39b6e4c03b2a020c778c41a7256b080052b4000","first_computed_at":"2026-08-10T01:13:12.096663Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-10T01:13:12.096663Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HDLMz59wVvSY8BcheRnxLwhimRsdzGbdNB3NYNxWSPzXFmTzSGrvPs2E5/uy7MLET8ywWeb+EUc0XJmz700aBQ==","signature_status":"signed_v1","signed_at":"2026-08-10T01:13:12.099101Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.07093","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ec4117084c12f443c126012972f1b13d5d441843483db0c362716d7366d8909d","sha256:a18b910d2e30a5befe95de3f2dfa8419e6fa3133c9063aee61b23ac3e9847f24"],"state_sha256":"39c3fc4f8266a6f7098f3be18f1e75ed570830eb92bbfb4c1cf3aeadb72b2418"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UPsvLR0J/udP5kBg54bWOlhnN0GdSY7I9m4VR/O5hiK8C63ZpBHikmpz55NANbQUCWnu6pxHRgVArcLh0te2BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T11:10:41.099993Z","bundle_sha256":"36b453cd82f1dc71b9d0e13a44fcef98659f125865ef3758e272138776240e08"}}