{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:HNLE2RG33M2G37R43C3F334KMP","short_pith_number":"pith:HNLE2RG3","schema_version":"1.0","canonical_sha256":"3b564d44dbdb346dfe3cd8b65def8a63cd0fa04f00b481fa9a7b013e62fb09f2","source":{"kind":"arxiv","id":"2602.13318","version":1},"attestation_state":"computed","paper":{"title":"DECKBench: Benchmarking Multi-Agent Frameworks for Academic Slide Generation and Editing","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"cs.AI","authors_text":"Daesik Jang, Edward Wang, Linzi Xing, Morgan Lindsay Heisler, Yifei Li, Ying Xiong, Yong Zhang, Zhenan Fan","submitted_at":"2026-02-10T19:49:06Z","abstract_excerpt":"Automatically generating and iteratively editing academic slide decks requires more than document summarization. It demands faithful content selection, coherent slide organization, layout-aware rendering, and robust multi-turn instruction following. However, existing benchmarks and evaluation protocols do not adequately measure these challenges. To address this gap, we introduce the Deck Edits and Compliance Kit Benchmark (DECKBench), an evaluation framework for multi-agent slide generation and editing. DECKBench is built on a curated dataset of paper to slide pairs augmented with realistic, s"},"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":"2602.13318","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-10T19:49:06Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"7e73d12c0084691301b6e8beb76c53d38fc5218dffb72c60af3181f8963d3373","abstract_canon_sha256":"6dd3e18dcfe8792951bd298bc5e4a56eae6f26a4cf99cd6b7f1871788afa2961"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:09:55.014195Z","signature_b64":"ts3cJpxzeOG1TRbGahbA36Hqqq+5Zuf0i5IGHvrchJeSJrCCp87RCa0wdDWjBaN6ugVmYVoacpmy1znv2STFDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3b564d44dbdb346dfe3cd8b65def8a63cd0fa04f00b481fa9a7b013e62fb09f2","last_reissued_at":"2026-06-19T16:09:55.013767Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:09:55.013767Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DECKBench: Benchmarking Multi-Agent Frameworks for Academic Slide Generation and Editing","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"cs.AI","authors_text":"Daesik Jang, Edward Wang, Linzi Xing, Morgan Lindsay Heisler, Yifei Li, Ying Xiong, Yong Zhang, Zhenan Fan","submitted_at":"2026-02-10T19:49:06Z","abstract_excerpt":"Automatically generating and iteratively editing academic slide decks requires more than document summarization. It demands faithful content selection, coherent slide organization, layout-aware rendering, and robust multi-turn instruction following. However, existing benchmarks and evaluation protocols do not adequately measure these challenges. To address this gap, we introduce the Deck Edits and Compliance Kit Benchmark (DECKBench), an evaluation framework for multi-agent slide generation and editing. DECKBench is built on a curated dataset of paper to slide pairs augmented with realistic, s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.13318","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/2602.13318/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":"2602.13318","created_at":"2026-06-19T16:09:55.013823+00:00"},{"alias_kind":"arxiv_version","alias_value":"2602.13318v1","created_at":"2026-06-19T16:09:55.013823+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.13318","created_at":"2026-06-19T16:09:55.013823+00:00"},{"alias_kind":"pith_short_12","alias_value":"HNLE2RG33M2G","created_at":"2026-06-19T16:09:55.013823+00:00"},{"alias_kind":"pith_short_16","alias_value":"HNLE2RG33M2G37R4","created_at":"2026-06-19T16:09:55.013823+00:00"},{"alias_kind":"pith_short_8","alias_value":"HNLE2RG3","created_at":"2026-06-19T16:09:55.013823+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/HNLE2RG33M2G37R43C3F334KMP","json":"https://pith.science/pith/HNLE2RG33M2G37R43C3F334KMP.json","graph_json":"https://pith.science/api/pith-number/HNLE2RG33M2G37R43C3F334KMP/graph.json","events_json":"https://pith.science/api/pith-number/HNLE2RG33M2G37R43C3F334KMP/events.json","paper":"https://pith.science/paper/HNLE2RG3"},"agent_actions":{"view_html":"https://pith.science/pith/HNLE2RG33M2G37R43C3F334KMP","download_json":"https://pith.science/pith/HNLE2RG33M2G37R43C3F334KMP.json","view_paper":"https://pith.science/paper/HNLE2RG3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2602.13318&json=true","fetch_graph":"https://pith.science/api/pith-number/HNLE2RG33M2G37R43C3F334KMP/graph.json","fetch_events":"https://pith.science/api/pith-number/HNLE2RG33M2G37R43C3F334KMP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HNLE2RG33M2G37R43C3F334KMP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HNLE2RG33M2G37R43C3F334KMP/action/storage_attestation","attest_author":"https://pith.science/pith/HNLE2RG33M2G37R43C3F334KMP/action/author_attestation","sign_citation":"https://pith.science/pith/HNLE2RG33M2G37R43C3F334KMP/action/citation_signature","submit_replication":"https://pith.science/pith/HNLE2RG33M2G37R43C3F334KMP/action/replication_record"}},"created_at":"2026-06-19T16:09:55.013823+00:00","updated_at":"2026-06-19T16:09:55.013823+00:00"}