{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:RIRXGW63FAH24AEPP7CUJGG4QC","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":"ea1b31ec26f8915444849e1f303961a9c8b55b2133ec1be0edb3bf552ef89961","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-17T09:50:16Z","title_canon_sha256":"f9e1ff77e84cdfa41e3a5e00ff32bf69aedd6cb6bb059216f2f221b4f3739fe0"},"schema_version":"1.0","source":{"id":"2605.17356","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.17356","created_at":"2026-05-20T00:03:53Z"},{"alias_kind":"arxiv_version","alias_value":"2605.17356v1","created_at":"2026-05-20T00:03:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17356","created_at":"2026-05-20T00:03:53Z"},{"alias_kind":"pith_short_12","alias_value":"RIRXGW63FAH2","created_at":"2026-05-20T00:03:53Z"},{"alias_kind":"pith_short_16","alias_value":"RIRXGW63FAH24AEP","created_at":"2026-05-20T00:03:53Z"},{"alias_kind":"pith_short_8","alias_value":"RIRXGW63","created_at":"2026-05-20T00:03:53Z"}],"graph_snapshots":[{"event_id":"sha256:3023c60a634b1abf4dd6e34c88d0c47726e1254515edf717b9aa1dfa530174e4","target":"graph","created_at":"2026-05-20T00:03:53Z","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":[{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T21:41:57.789892Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T21:33:23.723170Z","status":"skipped","version":"1.0.0"}],"endpoint":"/pith/2605.17356/integrity.json","findings":[],"snapshot_sha256":"bdb3d562d16208209c83b74d503998726c74e1b5d4efc4e2ba7a33671f638c2c","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing works typically focus on presentation generation under isolated input settings, whereas real-world use cases span diverse scenarios, including vague user prompts, long documents, multimodal materials, and multiple heterogeneous sources. Moreover, current evaluations are often insufficiently scenario-specific. They mainly rely on generic presentation-quality criteria, such as visual appeal, layout quality, and overall coherence, but fail to assess the core capabilities required by different input settings, including grounded compression, visual-text alignment, and cross-source synthesi","authors_text":"Bo Zhao, Chen Zhang, Huan Yang, Maosheng Pang, Wei Ji, Yixin Cao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-17T09:50:16Z","title":"UniPPTBench: A Unified Benchmark for Presentation Generation Across Diverse Input Settings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17356","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:b1443a6ffdad36e5226d45c762f1a3a1436ca4bcde457f5faad2af23cdb546f3","target":"record","created_at":"2026-05-20T00:03:53Z","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":"ea1b31ec26f8915444849e1f303961a9c8b55b2133ec1be0edb3bf552ef89961","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-17T09:50:16Z","title_canon_sha256":"f9e1ff77e84cdfa41e3a5e00ff32bf69aedd6cb6bb059216f2f221b4f3739fe0"},"schema_version":"1.0","source":{"id":"2605.17356","kind":"arxiv","version":1}},"canonical_sha256":"8a23735bdb280fae008f7fc54498dc808a2e4d0cf2ee203da4010727db701819","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8a23735bdb280fae008f7fc54498dc808a2e4d0cf2ee203da4010727db701819","first_computed_at":"2026-05-20T00:03:53.956750Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:03:53.956750Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qY21yIHmqYidUYrKH295B7EAH5BzfET6trt0QJ4v1JOpc745UQg+kav7wNIh9W6X4QdQ4WdEDzrijOywhvDmBA==","signature_status":"signed_v1","signed_at":"2026-05-20T00:03:53.957548Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.17356","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b1443a6ffdad36e5226d45c762f1a3a1436ca4bcde457f5faad2af23cdb546f3","sha256:3023c60a634b1abf4dd6e34c88d0c47726e1254515edf717b9aa1dfa530174e4"],"state_sha256":"8c4fb9614a1686c13913c782c70fc370aa22b0a0a5c0e1318936b82146490686"}