{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:TLVFEQ5OXQREBE6D3ANH4PN2GX","short_pith_number":"pith:TLVFEQ5O","schema_version":"1.0","canonical_sha256":"9aea5243aebc224093c3d81a7e3dba35e5cbb40d1c00faef87a695dcad042431","source":{"kind":"arxiv","id":"2606.18260","version":1},"attestation_state":"computed","paper":{"title":"FluidViews: Adaptive Drag-and-Drop Token Filters for Heterogeneous Multi-View Visual Analytics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Bhanu Sunku","submitted_at":"2026-05-08T08:01:20Z","abstract_excerpt":"Interactive visual analytics workflows are often disrupted by rigid filter panels and context switches that break analysts' cognitive flow. We introduce FluidViews, a web-based framework that elevates filters to first-class, manipulable objects through two novel direct-manipulation interactions. Copy-as-Highlight enables users to duplicate any visual mark into a persistent highlight token for rapid, transient cross-view comparison, while Drag-as-Filter allows analysts to pick up a mark and drop it onto another view to apply context-sensitive filters in place no menus, panels, or modal dialogs "},"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":"2606.18260","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2026-05-08T08:01:20Z","cross_cats_sorted":[],"title_canon_sha256":"ddd895ab7f0281d9c2071b72e653174300cf1cf3ba8b6a21328ab7393b579336","abstract_canon_sha256":"af55d786e4f80f9d3a279fc0bd6b605cc024e252293267a6c1c21b5f18faa4d4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:10:56.335399Z","signature_b64":"E62fHfvVBU/32oN/c/bJ8lo1Buyb+TpN7+j2DJfb0MAIPgyYJ2SNGO1tWc2N5hfNr5xqdAyzQJU4vldl19P1Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9aea5243aebc224093c3d81a7e3dba35e5cbb40d1c00faef87a695dcad042431","last_reissued_at":"2026-06-19T16:10:56.335022Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:10:56.335022Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"FluidViews: Adaptive Drag-and-Drop Token Filters for Heterogeneous Multi-View Visual Analytics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Bhanu Sunku","submitted_at":"2026-05-08T08:01:20Z","abstract_excerpt":"Interactive visual analytics workflows are often disrupted by rigid filter panels and context switches that break analysts' cognitive flow. We introduce FluidViews, a web-based framework that elevates filters to first-class, manipulable objects through two novel direct-manipulation interactions. Copy-as-Highlight enables users to duplicate any visual mark into a persistent highlight token for rapid, transient cross-view comparison, while Drag-as-Filter allows analysts to pick up a mark and drop it onto another view to apply context-sensitive filters in place no menus, panels, or modal dialogs "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.18260","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/2606.18260/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":"2606.18260","created_at":"2026-06-19T16:10:56.335081+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.18260v1","created_at":"2026-06-19T16:10:56.335081+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.18260","created_at":"2026-06-19T16:10:56.335081+00:00"},{"alias_kind":"pith_short_12","alias_value":"TLVFEQ5OXQRE","created_at":"2026-06-19T16:10:56.335081+00:00"},{"alias_kind":"pith_short_16","alias_value":"TLVFEQ5OXQREBE6D","created_at":"2026-06-19T16:10:56.335081+00:00"},{"alias_kind":"pith_short_8","alias_value":"TLVFEQ5O","created_at":"2026-06-19T16:10:56.335081+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/TLVFEQ5OXQREBE6D3ANH4PN2GX","json":"https://pith.science/pith/TLVFEQ5OXQREBE6D3ANH4PN2GX.json","graph_json":"https://pith.science/api/pith-number/TLVFEQ5OXQREBE6D3ANH4PN2GX/graph.json","events_json":"https://pith.science/api/pith-number/TLVFEQ5OXQREBE6D3ANH4PN2GX/events.json","paper":"https://pith.science/paper/TLVFEQ5O"},"agent_actions":{"view_html":"https://pith.science/pith/TLVFEQ5OXQREBE6D3ANH4PN2GX","download_json":"https://pith.science/pith/TLVFEQ5OXQREBE6D3ANH4PN2GX.json","view_paper":"https://pith.science/paper/TLVFEQ5O","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.18260&json=true","fetch_graph":"https://pith.science/api/pith-number/TLVFEQ5OXQREBE6D3ANH4PN2GX/graph.json","fetch_events":"https://pith.science/api/pith-number/TLVFEQ5OXQREBE6D3ANH4PN2GX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TLVFEQ5OXQREBE6D3ANH4PN2GX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TLVFEQ5OXQREBE6D3ANH4PN2GX/action/storage_attestation","attest_author":"https://pith.science/pith/TLVFEQ5OXQREBE6D3ANH4PN2GX/action/author_attestation","sign_citation":"https://pith.science/pith/TLVFEQ5OXQREBE6D3ANH4PN2GX/action/citation_signature","submit_replication":"https://pith.science/pith/TLVFEQ5OXQREBE6D3ANH4PN2GX/action/replication_record"}},"created_at":"2026-06-19T16:10:56.335081+00:00","updated_at":"2026-06-19T16:10:56.335081+00:00"}