{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:DYTJAT3HXWVRDDCWRB6QU3LBVV","short_pith_number":"pith:DYTJAT3H","schema_version":"1.0","canonical_sha256":"1e26904f67bdab118c56887d0a6d61ad5ab0f731edf2e6d3ebf972901db72a6e","source":{"kind":"arxiv","id":"2509.00446","version":1},"attestation_state":"computed","paper":{"title":"NEWSAGENT: Benchmarking Multimodal Agents as Journalists with Real-World Newswriting Tasks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Kuang-Da Wang, Wei-Yao Wang, Wen-Chih Peng, Yen-Che Chien","submitted_at":"2025-08-30T10:31:34Z","abstract_excerpt":"Recent advances in autonomous digital agents from industry (e.g., Manus AI and Gemini's research mode) highlight potential for structured tasks by autonomous decision-making and task decomposition; however, it remains unclear to what extent the agent-based systems can improve multimodal web data productivity. We study this in the realm of journalism, which requires iterative planning, interpretation, and contextual reasoning from multimodal raw contents to form a well structured news. We introduce NEWSAGENT, a benchmark for evaluating how agents can automatically search available raw contents,"},"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":"2509.00446","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-08-30T10:31:34Z","cross_cats_sorted":[],"title_canon_sha256":"9b1db44db334c52401b3d73cdaff06dcf210727817906b739889d790dc6f3b5f","abstract_canon_sha256":"98eb56bd0e9da7e20723af04680e15b34d53613f6520e111e29cec3e7fbc0515"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:02:16.432794Z","signature_b64":"qcUV1AWXCEfhdOxD0i1LVF1oDiUKFe6UUL/rcx8wzi/UxO+sJD8QQVo6VJ3MUl1i+C7LhNjch04kr8+2PXebCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1e26904f67bdab118c56887d0a6d61ad5ab0f731edf2e6d3ebf972901db72a6e","last_reissued_at":"2026-07-05T12:02:16.432245Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:02:16.432245Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"NEWSAGENT: Benchmarking Multimodal Agents as Journalists with Real-World Newswriting Tasks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Kuang-Da Wang, Wei-Yao Wang, Wen-Chih Peng, Yen-Che Chien","submitted_at":"2025-08-30T10:31:34Z","abstract_excerpt":"Recent advances in autonomous digital agents from industry (e.g., Manus AI and Gemini's research mode) highlight potential for structured tasks by autonomous decision-making and task decomposition; however, it remains unclear to what extent the agent-based systems can improve multimodal web data productivity. We study this in the realm of journalism, which requires iterative planning, interpretation, and contextual reasoning from multimodal raw contents to form a well structured news. We introduce NEWSAGENT, a benchmark for evaluating how agents can automatically search available raw contents,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.00446","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/2509.00446/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":"2509.00446","created_at":"2026-07-05T12:02:16.432305+00:00"},{"alias_kind":"arxiv_version","alias_value":"2509.00446v1","created_at":"2026-07-05T12:02:16.432305+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.00446","created_at":"2026-07-05T12:02:16.432305+00:00"},{"alias_kind":"pith_short_12","alias_value":"DYTJAT3HXWVR","created_at":"2026-07-05T12:02:16.432305+00:00"},{"alias_kind":"pith_short_16","alias_value":"DYTJAT3HXWVRDDCW","created_at":"2026-07-05T12:02:16.432305+00:00"},{"alias_kind":"pith_short_8","alias_value":"DYTJAT3H","created_at":"2026-07-05T12:02:16.432305+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/DYTJAT3HXWVRDDCWRB6QU3LBVV","json":"https://pith.science/pith/DYTJAT3HXWVRDDCWRB6QU3LBVV.json","graph_json":"https://pith.science/api/pith-number/DYTJAT3HXWVRDDCWRB6QU3LBVV/graph.json","events_json":"https://pith.science/api/pith-number/DYTJAT3HXWVRDDCWRB6QU3LBVV/events.json","paper":"https://pith.science/paper/DYTJAT3H"},"agent_actions":{"view_html":"https://pith.science/pith/DYTJAT3HXWVRDDCWRB6QU3LBVV","download_json":"https://pith.science/pith/DYTJAT3HXWVRDDCWRB6QU3LBVV.json","view_paper":"https://pith.science/paper/DYTJAT3H","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2509.00446&json=true","fetch_graph":"https://pith.science/api/pith-number/DYTJAT3HXWVRDDCWRB6QU3LBVV/graph.json","fetch_events":"https://pith.science/api/pith-number/DYTJAT3HXWVRDDCWRB6QU3LBVV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DYTJAT3HXWVRDDCWRB6QU3LBVV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DYTJAT3HXWVRDDCWRB6QU3LBVV/action/storage_attestation","attest_author":"https://pith.science/pith/DYTJAT3HXWVRDDCWRB6QU3LBVV/action/author_attestation","sign_citation":"https://pith.science/pith/DYTJAT3HXWVRDDCWRB6QU3LBVV/action/citation_signature","submit_replication":"https://pith.science/pith/DYTJAT3HXWVRDDCWRB6QU3LBVV/action/replication_record"}},"created_at":"2026-07-05T12:02:16.432305+00:00","updated_at":"2026-07-05T12:02:16.432305+00:00"}