{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AILEIUE73ELC3GTG3ETMQ3JNAM","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":"5d82bdfe33afdcab876cf0afbc0c78d8da249592c8eb195cb86ff36c853d37cd","cross_cats_sorted":["cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2024-07-18T02:55:52Z","title_canon_sha256":"40f26a2d9f4002d5e88baa1cf73d30b5b4789684454ba107d17da1b73261fde3"},"schema_version":"1.0","source":{"id":"2407.13117","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.13117","created_at":"2026-07-05T09:46:49Z"},{"alias_kind":"arxiv_version","alias_value":"2407.13117v2","created_at":"2026-07-05T09:46:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.13117","created_at":"2026-07-05T09:46:49Z"},{"alias_kind":"pith_short_12","alias_value":"AILEIUE73ELC","created_at":"2026-07-05T09:46:49Z"},{"alias_kind":"pith_short_16","alias_value":"AILEIUE73ELC3GTG","created_at":"2026-07-05T09:46:49Z"},{"alias_kind":"pith_short_8","alias_value":"AILEIUE7","created_at":"2026-07-05T09:46:49Z"}],"graph_snapshots":[{"event_id":"sha256:6c9d5e4a64492db066e37f7a0bea72b5972697aa0c1255ff9d1dd850ae510ccf","target":"graph","created_at":"2026-07-05T09:46:49Z","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/2407.13117/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Online marketing faces formidable challenges in managing and interpreting immense volumes of data necessary for competitor analysis, content research, and strategic branding. It is impossible to review hundreds to thousands of transient online content items by hand, and partial analysis often leads to suboptimal outcomes and poorly performing campaigns. We introduce an explainable AI framework SOMONITOR that aims to synergize human intuition with AI-based efficiency, helping marketers across all stages of the marketing funnel, from strategic planning to content creation and campaign execution.","authors_text":"Aleksandr Farseev, Ilia Gossoudarev, Marlo Ongpin, Qi Yang, Sergey Nikolenko, Yu-Yi Chu-Farseeva","cross_cats":["cs.MM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2024-07-18T02:55:52Z","title":"SOMONITOR: Combining Explainable AI & Large Language Models for Marketing Analytics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.13117","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:f7b9c9362a91af67ef9fe2265ae2e6b11cc272d4416f2f78d6ac0d753708788a","target":"record","created_at":"2026-07-05T09:46:49Z","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":"5d82bdfe33afdcab876cf0afbc0c78d8da249592c8eb195cb86ff36c853d37cd","cross_cats_sorted":["cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2024-07-18T02:55:52Z","title_canon_sha256":"40f26a2d9f4002d5e88baa1cf73d30b5b4789684454ba107d17da1b73261fde3"},"schema_version":"1.0","source":{"id":"2407.13117","kind":"arxiv","version":2}},"canonical_sha256":"021644509fd9162d9a66d926c86d2d033696ffd3919e4f00666b611f4eda1155","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"021644509fd9162d9a66d926c86d2d033696ffd3919e4f00666b611f4eda1155","first_computed_at":"2026-07-05T09:46:49.284863Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:46:49.284863Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5OS82AoA0nuHrU+2wqD9i3En+/cA1RR1PlfgC6+4b/qgc4+4hCI3Egv7QIpJW+brEUOiXsiU05Rg3hDlrU8+Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T09:46:49.286537Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.13117","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f7b9c9362a91af67ef9fe2265ae2e6b11cc272d4416f2f78d6ac0d753708788a","sha256:6c9d5e4a64492db066e37f7a0bea72b5972697aa0c1255ff9d1dd850ae510ccf"],"state_sha256":"5fe8fd63d9865b6e112cd264be0cf07aab4e92c59fb9f1a6660dbb0cfb6ba740"}