{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:KRJHQJF7M2U5IUXKJCJ6XRLBRX","short_pith_number":"pith:KRJHQJF7","schema_version":"1.0","canonical_sha256":"54527824bf66a9d452ea4893ebc5618de6c6b8a9fc8d6680c6f2d7c748a60fc3","source":{"kind":"arxiv","id":"2111.02168","version":4},"attestation_state":"computed","paper":{"title":"The Klarna Product Page Dataset: Web Element Nomination with Graph Neural Networks and Large Language Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CL","cs.CV","cs.HC","cs.IR"],"primary_cat":"cs.LG","authors_text":"Alexandra Hotti, Aref Moradi, Jens Lagergren, Riccardo Sven Risuleo, Stefan Magureanu","submitted_at":"2021-11-03T12:13:52Z","abstract_excerpt":"Web automation holds the potential to revolutionize how users interact with the digital world, offering unparalleled assistance and simplifying tasks via sophisticated computational methods. Central to this evolution is the web element nomination task, which entails identifying unique elements on webpages. Unfortunately, the development of algorithmic designs for web automation is hampered by the scarcity of comprehensive and realistic datasets that reflect the complexity faced by real-world applications on the Web. To address this, we introduce the Klarna Product Page Dataset, a comprehensive"},"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":"2111.02168","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2021-11-03T12:13:52Z","cross_cats_sorted":["cs.CL","cs.CV","cs.HC","cs.IR"],"title_canon_sha256":"ae160e9169f12fed50b4671df9768f329760e2324fb98c52bc189869e70e7788","abstract_canon_sha256":"c155bf5ea9c1c8ab360e072fd67b4e64e184c4515c4128f8ec43e0e4a9bef560"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:39:17.592815Z","signature_b64":"+vedz0cLxYLo4iEyxcGAZmvfqmoW4x5V4WD6BJb5I19MwxgwybOSXsgssTIecl1pKEfLjrsCb4nNUIOJ//3iBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"54527824bf66a9d452ea4893ebc5618de6c6b8a9fc8d6680c6f2d7c748a60fc3","last_reissued_at":"2026-07-05T09:39:17.592360Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:39:17.592360Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Klarna Product Page Dataset: Web Element Nomination with Graph Neural Networks and Large Language Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CL","cs.CV","cs.HC","cs.IR"],"primary_cat":"cs.LG","authors_text":"Alexandra Hotti, Aref Moradi, Jens Lagergren, Riccardo Sven Risuleo, Stefan Magureanu","submitted_at":"2021-11-03T12:13:52Z","abstract_excerpt":"Web automation holds the potential to revolutionize how users interact with the digital world, offering unparalleled assistance and simplifying tasks via sophisticated computational methods. Central to this evolution is the web element nomination task, which entails identifying unique elements on webpages. Unfortunately, the development of algorithmic designs for web automation is hampered by the scarcity of comprehensive and realistic datasets that reflect the complexity faced by real-world applications on the Web. To address this, we introduce the Klarna Product Page Dataset, a comprehensive"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.02168","kind":"arxiv","version":4},"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/2111.02168/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":"2111.02168","created_at":"2026-07-05T09:39:17.592418+00:00"},{"alias_kind":"arxiv_version","alias_value":"2111.02168v4","created_at":"2026-07-05T09:39:17.592418+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.02168","created_at":"2026-07-05T09:39:17.592418+00:00"},{"alias_kind":"pith_short_12","alias_value":"KRJHQJF7M2U5","created_at":"2026-07-05T09:39:17.592418+00:00"},{"alias_kind":"pith_short_16","alias_value":"KRJHQJF7M2U5IUXK","created_at":"2026-07-05T09:39:17.592418+00:00"},{"alias_kind":"pith_short_8","alias_value":"KRJHQJF7","created_at":"2026-07-05T09:39:17.592418+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2502.02167","citing_title":"Multilingual Attribute Extraction from News Web Pages","ref_index":4,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/KRJHQJF7M2U5IUXKJCJ6XRLBRX","json":"https://pith.science/pith/KRJHQJF7M2U5IUXKJCJ6XRLBRX.json","graph_json":"https://pith.science/api/pith-number/KRJHQJF7M2U5IUXKJCJ6XRLBRX/graph.json","events_json":"https://pith.science/api/pith-number/KRJHQJF7M2U5IUXKJCJ6XRLBRX/events.json","paper":"https://pith.science/paper/KRJHQJF7"},"agent_actions":{"view_html":"https://pith.science/pith/KRJHQJF7M2U5IUXKJCJ6XRLBRX","download_json":"https://pith.science/pith/KRJHQJF7M2U5IUXKJCJ6XRLBRX.json","view_paper":"https://pith.science/paper/KRJHQJF7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2111.02168&json=true","fetch_graph":"https://pith.science/api/pith-number/KRJHQJF7M2U5IUXKJCJ6XRLBRX/graph.json","fetch_events":"https://pith.science/api/pith-number/KRJHQJF7M2U5IUXKJCJ6XRLBRX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KRJHQJF7M2U5IUXKJCJ6XRLBRX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KRJHQJF7M2U5IUXKJCJ6XRLBRX/action/storage_attestation","attest_author":"https://pith.science/pith/KRJHQJF7M2U5IUXKJCJ6XRLBRX/action/author_attestation","sign_citation":"https://pith.science/pith/KRJHQJF7M2U5IUXKJCJ6XRLBRX/action/citation_signature","submit_replication":"https://pith.science/pith/KRJHQJF7M2U5IUXKJCJ6XRLBRX/action/replication_record"}},"created_at":"2026-07-05T09:39:17.592418+00:00","updated_at":"2026-07-05T09:39:17.592418+00:00"}