{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:BI3YWI4WJ5SBRSCGIABJEZ5FTV","short_pith_number":"pith:BI3YWI4W","schema_version":"1.0","canonical_sha256":"0a378b23964f6418c84640029267a59d7e32d6f7b37a48be9e097bbdfd358871","source":{"kind":"arxiv","id":"2501.07320","version":1},"attestation_state":"computed","paper":{"title":"ChartEditor: A Human-AI Paired Tool for Authoring Pictorial Charts","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Nan Tang, Siyu Yan, Tiancheng Liu, Weikai Yang, Yuyu Luo","submitted_at":"2025-01-13T13:31:28Z","abstract_excerpt":"Pictorial charts are favored for their memorability and visual appeal, offering a more engaging alternative to basic charts. However, their creation can be complex and time-consuming due to the lack of native support in popular visualization tools like Tableau. While AI-generated content (AIGC) tools have lowered the barrier to creating pictorial charts, they often lack precise design control. To address this issue, we introduce ChartEditor, a human-AI paired tool that transforms basic charts into pictorial versions based on user intent. ChartEditor decomposes chart images into visual componen"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2501.07320","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2025-01-13T13:31:28Z","cross_cats_sorted":[],"title_canon_sha256":"2a61d3f7771ecc153ef82ca4ad273b44445890dbbbf20620bbaa23e4e3cef0d4","abstract_canon_sha256":"fe97baae6a42dfc3196c64449643874d9357ba7474803d41a39256dc0280df2b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:00:18.714222Z","signature_b64":"ZSB8RczncOAto4EG+6t5qFee9MgPrzP/MCVExO1Nc6EcV223d8ZBxc9uM/l7sBmpfdee5c7Ea95i62UmPC9PAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0a378b23964f6418c84640029267a59d7e32d6f7b37a48be9e097bbdfd358871","last_reissued_at":"2026-07-05T10:00:18.713567Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:00:18.713567Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"ChartEditor: A Human-AI Paired Tool for Authoring Pictorial Charts","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Nan Tang, Siyu Yan, Tiancheng Liu, Weikai Yang, Yuyu Luo","submitted_at":"2025-01-13T13:31:28Z","abstract_excerpt":"Pictorial charts are favored for their memorability and visual appeal, offering a more engaging alternative to basic charts. However, their creation can be complex and time-consuming due to the lack of native support in popular visualization tools like Tableau. While AI-generated content (AIGC) tools have lowered the barrier to creating pictorial charts, they often lack precise design control. To address this issue, we introduce ChartEditor, a human-AI paired tool that transforms basic charts into pictorial versions based on user intent. ChartEditor decomposes chart images into visual componen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.07320","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/2501.07320/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2501.07320","created_at":"2026-07-05T10:00:18.713651+00:00"},{"alias_kind":"arxiv_version","alias_value":"2501.07320v1","created_at":"2026-07-05T10:00:18.713651+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.07320","created_at":"2026-07-05T10:00:18.713651+00:00"},{"alias_kind":"pith_short_12","alias_value":"BI3YWI4WJ5SB","created_at":"2026-07-05T10:00:18.713651+00:00"},{"alias_kind":"pith_short_16","alias_value":"BI3YWI4WJ5SBRSCG","created_at":"2026-07-05T10:00:18.713651+00:00"},{"alias_kind":"pith_short_8","alias_value":"BI3YWI4W","created_at":"2026-07-05T10:00:18.713651+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/BI3YWI4WJ5SBRSCGIABJEZ5FTV","json":"https://pith.science/pith/BI3YWI4WJ5SBRSCGIABJEZ5FTV.json","graph_json":"https://pith.science/api/pith-number/BI3YWI4WJ5SBRSCGIABJEZ5FTV/graph.json","events_json":"https://pith.science/api/pith-number/BI3YWI4WJ5SBRSCGIABJEZ5FTV/events.json","paper":"https://pith.science/paper/BI3YWI4W"},"agent_actions":{"view_html":"https://pith.science/pith/BI3YWI4WJ5SBRSCGIABJEZ5FTV","download_json":"https://pith.science/pith/BI3YWI4WJ5SBRSCGIABJEZ5FTV.json","view_paper":"https://pith.science/paper/BI3YWI4W","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2501.07320&json=true","fetch_graph":"https://pith.science/api/pith-number/BI3YWI4WJ5SBRSCGIABJEZ5FTV/graph.json","fetch_events":"https://pith.science/api/pith-number/BI3YWI4WJ5SBRSCGIABJEZ5FTV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BI3YWI4WJ5SBRSCGIABJEZ5FTV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BI3YWI4WJ5SBRSCGIABJEZ5FTV/action/storage_attestation","attest_author":"https://pith.science/pith/BI3YWI4WJ5SBRSCGIABJEZ5FTV/action/author_attestation","sign_citation":"https://pith.science/pith/BI3YWI4WJ5SBRSCGIABJEZ5FTV/action/citation_signature","submit_replication":"https://pith.science/pith/BI3YWI4WJ5SBRSCGIABJEZ5FTV/action/replication_record"}},"created_at":"2026-07-05T10:00:18.713651+00:00","updated_at":"2026-07-05T10:00:18.713651+00:00"}