{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ODBVZKQFQ3WO3JIDZ2AXZZAAWR","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":"34b483a336e4f1e19de474cc58364431723c1e859c143d0525399b9d384bc44d","cross_cats_sorted":["cs.AI","cs.CL","cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-19T17:59:45Z","title_canon_sha256":"38920445cb82a8bb3759bf929a2381cc67ae16d466d59fbc081acbe64feb8ec6"},"schema_version":"1.0","source":{"id":"2409.12959","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.12959","created_at":"2026-07-05T09:41:02Z"},{"alias_kind":"arxiv_version","alias_value":"2409.12959v2","created_at":"2026-07-05T09:41:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.12959","created_at":"2026-07-05T09:41:02Z"},{"alias_kind":"pith_short_12","alias_value":"ODBVZKQFQ3WO","created_at":"2026-07-05T09:41:02Z"},{"alias_kind":"pith_short_16","alias_value":"ODBVZKQFQ3WO3JID","created_at":"2026-07-05T09:41:02Z"},{"alias_kind":"pith_short_8","alias_value":"ODBVZKQF","created_at":"2026-07-05T09:41:02Z"}],"graph_snapshots":[{"event_id":"sha256:91b4f8d93cb80822aea2e991e5583a7eec441388fc6b209ad40ae61a0046d7c4","target":"graph","created_at":"2026-07-05T09:41:02Z","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/2409.12959/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The advent of Large Language Models (LLMs) has paved the way for AI search engines, e.g., SearchGPT, showcasing a new paradigm in human-internet interaction. However, most current AI search engines are limited to text-only settings, neglecting the multimodal user queries and the text-image interleaved nature of website information. Recently, Large Multimodal Models (LMMs) have made impressive strides. Yet, whether they can function as AI search engines remains under-explored, leaving the potential of LMMs in multimodal search an open question. To this end, we first design a delicate pipeline, ","authors_text":"Chaoyou Fu, Chunyuan Li, Dongzhi Jiang, Guanglu Song, Hongsheng Li, Jiayi Lei, Pan Lu, Peng Gao, Pengshuo Qiu, Renrui Zhang, Yanmin Wu, Yu Liu, Zehui Chen, Ziyu Guo","cross_cats":["cs.AI","cs.CL","cs.IR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-19T17:59:45Z","title":"MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.12959","kind":"arxiv","version":2},"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":"sha256:10aaef7fbec74df1b9c350ff90edbc5e42f040e75b12c6d4a66cf08547009861","target":"record","created_at":"2026-07-05T09:41:02Z","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":"34b483a336e4f1e19de474cc58364431723c1e859c143d0525399b9d384bc44d","cross_cats_sorted":["cs.AI","cs.CL","cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-19T17:59:45Z","title_canon_sha256":"38920445cb82a8bb3759bf929a2381cc67ae16d466d59fbc081acbe64feb8ec6"},"schema_version":"1.0","source":{"id":"2409.12959","kind":"arxiv","version":2}},"canonical_sha256":"70c35caa0586eceda503ce817ce400b463d46aee04dca1e2946ec6a722ad7706","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"70c35caa0586eceda503ce817ce400b463d46aee04dca1e2946ec6a722ad7706","first_computed_at":"2026-07-05T09:41:02.235846Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:41:02.235846Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/XIK1Vhi8OVvZGYHnzNMfy8zd79OsWyIQUVDr/aIqUk99E9Ig+zD7Pedr1+qthvIgnoE0zbE2M7dM+oTOiq+AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:41:02.236342Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.12959","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:10aaef7fbec74df1b9c350ff90edbc5e42f040e75b12c6d4a66cf08547009861","sha256:91b4f8d93cb80822aea2e991e5583a7eec441388fc6b209ad40ae61a0046d7c4"],"state_sha256":"27854debb9d81840d5453d1fa9f0dd45d79cad904d6d683da377e9dc52498998"}