{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:CHKO7KZC6VJUM2HVRIGS5NCTKC","short_pith_number":"pith:CHKO7KZC","canonical_record":{"source":{"id":"2411.08700","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2024-11-13T15:42:13Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"96958c2dd3848a8a958cc3a0a9d617efaa8b84600fd7dc49e781440afc46f4f0","abstract_canon_sha256":"ca20aa02147205692fdf9cd932e663160957a0f094f778ba3a166518836b40ad"},"schema_version":"1.0"},"canonical_sha256":"11d4efab22f5534668f58a0d2eb45350af1ed474761615ab3a91194866d89cb6","source":{"kind":"arxiv","id":"2411.08700","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.08700","created_at":"2026-07-05T09:35:01Z"},{"alias_kind":"arxiv_version","alias_value":"2411.08700v1","created_at":"2026-07-05T09:35:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.08700","created_at":"2026-07-05T09:35:01Z"},{"alias_kind":"pith_short_12","alias_value":"CHKO7KZC6VJU","created_at":"2026-07-05T09:35:01Z"},{"alias_kind":"pith_short_16","alias_value":"CHKO7KZC6VJUM2HV","created_at":"2026-07-05T09:35:01Z"},{"alias_kind":"pith_short_8","alias_value":"CHKO7KZC","created_at":"2026-07-05T09:35:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:CHKO7KZC6VJUM2HVRIGS5NCTKC","target":"record","payload":{"canonical_record":{"source":{"id":"2411.08700","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2024-11-13T15:42:13Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"96958c2dd3848a8a958cc3a0a9d617efaa8b84600fd7dc49e781440afc46f4f0","abstract_canon_sha256":"ca20aa02147205692fdf9cd932e663160957a0f094f778ba3a166518836b40ad"},"schema_version":"1.0"},"canonical_sha256":"11d4efab22f5534668f58a0d2eb45350af1ed474761615ab3a91194866d89cb6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:35:01.212638Z","signature_b64":"eJtMUR25evfMFO6jL4tYpd/YkjmTNSBRQzJgihHPbJOjCRw1sGj+BuUbat5ileZNwYu6zjMAVJ4vBjZsZEn+BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"11d4efab22f5534668f58a0d2eb45350af1ed474761615ab3a91194866d89cb6","last_reissued_at":"2026-07-05T09:35:01.212213Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:35:01.212213Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.08700","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:35:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XKwnCS8rp1BLkCarXlYF5jYO/i9w9uaRp9Us5NQVJM7RWAR+E8zoxGu9X4Mh3yyjnXJTTKqwb/uB2/fmPqDlDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T23:23:47.995584Z"},"content_sha256":"62b953efdded23e1da48efceef7e41e3626525070ab768476732ca20e95ba8ff","schema_version":"1.0","event_id":"sha256:62b953efdded23e1da48efceef7e41e3626525070ab768476732ca20e95ba8ff"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:CHKO7KZC6VJUM2HVRIGS5NCTKC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Rethinking negative sampling in content-based news recommendation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.IR","authors_text":"\\'Alvaro Figueira, Ivo Pereira, Jo\\~ao Vinagre, Miguel \\^Angelo Rebelo","submitted_at":"2024-11-13T15:42:13Z","abstract_excerpt":"News recommender systems are hindered by the brief lifespan of articles, as they undergo rapid relevance decay. Recent studies have demonstrated the potential of content-based neural techniques in tackling this problem. However, these models often involve complex neural architectures and often lack consideration for negative examples. In this study, we posit that the careful sampling of negative examples has a big impact on the model's outcome. We devise a negative sampling technique that not only improves the accuracy of the model but also facilitates the decentralization of the recommendatio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.08700","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/2411.08700/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:35:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Mmjwd0zDvRZ3qyGZwr2kzZ8yqUyy5+WQmCjoOJ++oEkeCbjgNwTMIR5qdHpeaQ1987rRSZB+XyC8eJGQ4nYyAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T23:23:47.996125Z"},"content_sha256":"4ce9443472a633462abf4d97b34ea046e147c6906bc37a114f4717360b07b4fd","schema_version":"1.0","event_id":"sha256:4ce9443472a633462abf4d97b34ea046e147c6906bc37a114f4717360b07b4fd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CHKO7KZC6VJUM2HVRIGS5NCTKC/bundle.json","state_url":"https://pith.science/pith/CHKO7KZC6VJUM2HVRIGS5NCTKC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CHKO7KZC6VJUM2HVRIGS5NCTKC/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-13T23:23:48Z","links":{"resolver":"https://pith.science/pith/CHKO7KZC6VJUM2HVRIGS5NCTKC","bundle":"https://pith.science/pith/CHKO7KZC6VJUM2HVRIGS5NCTKC/bundle.json","state":"https://pith.science/pith/CHKO7KZC6VJUM2HVRIGS5NCTKC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CHKO7KZC6VJUM2HVRIGS5NCTKC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CHKO7KZC6VJUM2HVRIGS5NCTKC","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":"ca20aa02147205692fdf9cd932e663160957a0f094f778ba3a166518836b40ad","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2024-11-13T15:42:13Z","title_canon_sha256":"96958c2dd3848a8a958cc3a0a9d617efaa8b84600fd7dc49e781440afc46f4f0"},"schema_version":"1.0","source":{"id":"2411.08700","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.08700","created_at":"2026-07-05T09:35:01Z"},{"alias_kind":"arxiv_version","alias_value":"2411.08700v1","created_at":"2026-07-05T09:35:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.08700","created_at":"2026-07-05T09:35:01Z"},{"alias_kind":"pith_short_12","alias_value":"CHKO7KZC6VJU","created_at":"2026-07-05T09:35:01Z"},{"alias_kind":"pith_short_16","alias_value":"CHKO7KZC6VJUM2HV","created_at":"2026-07-05T09:35:01Z"},{"alias_kind":"pith_short_8","alias_value":"CHKO7KZC","created_at":"2026-07-05T09:35:01Z"}],"graph_snapshots":[{"event_id":"sha256:4ce9443472a633462abf4d97b34ea046e147c6906bc37a114f4717360b07b4fd","target":"graph","created_at":"2026-07-05T09:35:01Z","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/2411.08700/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"News recommender systems are hindered by the brief lifespan of articles, as they undergo rapid relevance decay. Recent studies have demonstrated the potential of content-based neural techniques in tackling this problem. However, these models often involve complex neural architectures and often lack consideration for negative examples. In this study, we posit that the careful sampling of negative examples has a big impact on the model's outcome. We devise a negative sampling technique that not only improves the accuracy of the model but also facilitates the decentralization of the recommendatio","authors_text":"\\'Alvaro Figueira, Ivo Pereira, Jo\\~ao Vinagre, Miguel \\^Angelo Rebelo","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2024-11-13T15:42:13Z","title":"Rethinking negative sampling in content-based news recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.08700","kind":"arxiv","version":1},"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":"sha256:62b953efdded23e1da48efceef7e41e3626525070ab768476732ca20e95ba8ff","target":"record","created_at":"2026-07-05T09:35:01Z","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":"ca20aa02147205692fdf9cd932e663160957a0f094f778ba3a166518836b40ad","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2024-11-13T15:42:13Z","title_canon_sha256":"96958c2dd3848a8a958cc3a0a9d617efaa8b84600fd7dc49e781440afc46f4f0"},"schema_version":"1.0","source":{"id":"2411.08700","kind":"arxiv","version":1}},"canonical_sha256":"11d4efab22f5534668f58a0d2eb45350af1ed474761615ab3a91194866d89cb6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"11d4efab22f5534668f58a0d2eb45350af1ed474761615ab3a91194866d89cb6","first_computed_at":"2026-07-05T09:35:01.212213Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:35:01.212213Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eJtMUR25evfMFO6jL4tYpd/YkjmTNSBRQzJgihHPbJOjCRw1sGj+BuUbat5ileZNwYu6zjMAVJ4vBjZsZEn+BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:35:01.212638Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.08700","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:62b953efdded23e1da48efceef7e41e3626525070ab768476732ca20e95ba8ff","sha256:4ce9443472a633462abf4d97b34ea046e147c6906bc37a114f4717360b07b4fd"],"state_sha256":"4bf7158eaf4df514c68aba1c7a9de86083b3dea75a5c0022077cfedd6549d524"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+borGT3M8voeJqmd910BTFMAYKXnwUIrTvHhUGr99ISziKChNop86ovVou9aGQAJZLulWPwaVT0NE8X+KR51AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T23:23:48.013868Z","bundle_sha256":"7de7bddcd36cf4481280984b7419898299d98d75dfcd14a50e555ad99679fc42"}}