{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:ZLVFRI5D7SWV2DAM4QYE7C7USL","short_pith_number":"pith:ZLVFRI5D","schema_version":"1.0","canonical_sha256":"caea58a3a3fcad5d0c0ce4304f8bf492c2d3797e5a8d2f389980f08b3c2e0015","source":{"kind":"arxiv","id":"2409.17678","version":1},"attestation_state":"computed","paper":{"title":"Modeling the Popularity of Events on Web by Sparsity and Mutual-Excitation Guided Graph Neural Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MM","authors_text":"Jiaxin Deng, Junbiao Pang, Linlin Jia, Qingming Huang","submitted_at":"2024-09-26T09:37:04Z","abstract_excerpt":"The content of a webpage described or posted an event in the cyberspace inevitably reflects viewpoints, values and trends of the physical society. Mapping an event on web to the popularity score plays a pivot role to sense the social trends from the cyberspace. However, the complex semantic correspondence between texts and images, as well as the implicit text-image-popularity mapping mechanics pose a significant challenge to this non-trivial task. In this paper, we address this problem from a viewpoint of understanding the interpretable mapping mechanics. Concretely, we organize the keywords f"},"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":"2409.17678","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2024-09-26T09:37:04Z","cross_cats_sorted":[],"title_canon_sha256":"27431e9a77abedfbf3a249607a35541849191974983c8ff16ed6bc024dcdd7bd","abstract_canon_sha256":"84c0b71361c8c830af89f3896519201f1a2e917a5a3eeaf7bf0541e964ecd4c4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:12:13.915945Z","signature_b64":"9md4ZDcPVUDL0KI4oU7MK4F88UsGFIVbyG6toatqQerfWJbNe2RrnaYEjNeJM9vO47K0o9fBGOTROAddR/AFAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"caea58a3a3fcad5d0c0ce4304f8bf492c2d3797e5a8d2f389980f08b3c2e0015","last_reissued_at":"2026-07-05T09:12:13.915541Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:12:13.915541Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Modeling the Popularity of Events on Web by Sparsity and Mutual-Excitation Guided Graph Neural Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MM","authors_text":"Jiaxin Deng, Junbiao Pang, Linlin Jia, Qingming Huang","submitted_at":"2024-09-26T09:37:04Z","abstract_excerpt":"The content of a webpage described or posted an event in the cyberspace inevitably reflects viewpoints, values and trends of the physical society. Mapping an event on web to the popularity score plays a pivot role to sense the social trends from the cyberspace. However, the complex semantic correspondence between texts and images, as well as the implicit text-image-popularity mapping mechanics pose a significant challenge to this non-trivial task. In this paper, we address this problem from a viewpoint of understanding the interpretable mapping mechanics. Concretely, we organize the keywords f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.17678","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/2409.17678/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":"2409.17678","created_at":"2026-07-05T09:12:13.915596+00:00"},{"alias_kind":"arxiv_version","alias_value":"2409.17678v1","created_at":"2026-07-05T09:12:13.915596+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.17678","created_at":"2026-07-05T09:12:13.915596+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZLVFRI5D7SWV","created_at":"2026-07-05T09:12:13.915596+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZLVFRI5D7SWV2DAM","created_at":"2026-07-05T09:12:13.915596+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZLVFRI5D","created_at":"2026-07-05T09:12:13.915596+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/ZLVFRI5D7SWV2DAM4QYE7C7USL","json":"https://pith.science/pith/ZLVFRI5D7SWV2DAM4QYE7C7USL.json","graph_json":"https://pith.science/api/pith-number/ZLVFRI5D7SWV2DAM4QYE7C7USL/graph.json","events_json":"https://pith.science/api/pith-number/ZLVFRI5D7SWV2DAM4QYE7C7USL/events.json","paper":"https://pith.science/paper/ZLVFRI5D"},"agent_actions":{"view_html":"https://pith.science/pith/ZLVFRI5D7SWV2DAM4QYE7C7USL","download_json":"https://pith.science/pith/ZLVFRI5D7SWV2DAM4QYE7C7USL.json","view_paper":"https://pith.science/paper/ZLVFRI5D","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2409.17678&json=true","fetch_graph":"https://pith.science/api/pith-number/ZLVFRI5D7SWV2DAM4QYE7C7USL/graph.json","fetch_events":"https://pith.science/api/pith-number/ZLVFRI5D7SWV2DAM4QYE7C7USL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZLVFRI5D7SWV2DAM4QYE7C7USL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZLVFRI5D7SWV2DAM4QYE7C7USL/action/storage_attestation","attest_author":"https://pith.science/pith/ZLVFRI5D7SWV2DAM4QYE7C7USL/action/author_attestation","sign_citation":"https://pith.science/pith/ZLVFRI5D7SWV2DAM4QYE7C7USL/action/citation_signature","submit_replication":"https://pith.science/pith/ZLVFRI5D7SWV2DAM4QYE7C7USL/action/replication_record"}},"created_at":"2026-07-05T09:12:13.915596+00:00","updated_at":"2026-07-05T09:12:13.915596+00:00"}