{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:M5A7GMRAYCXNRAUJAI2OZ7T64V","short_pith_number":"pith:M5A7GMRA","canonical_record":{"source":{"id":"2201.07681","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2022-01-19T16:12:25Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f8142f3e7ba8784260cd7396539f2439df45b00a29fe3f62563a51a27e452764","abstract_canon_sha256":"77172f1d25daf5d09ef392fd3cfae6ddd08ec8af7435ba0340d1ef866f9752ec"},"schema_version":"1.0"},"canonical_sha256":"6741f33220c0aed882890234ecfe7ee57aefc3e7bf122697dcff117a6053de22","source":{"kind":"arxiv","id":"2201.07681","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.07681","created_at":"2026-07-05T03:49:49Z"},{"alias_kind":"arxiv_version","alias_value":"2201.07681v1","created_at":"2026-07-05T03:49:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.07681","created_at":"2026-07-05T03:49:49Z"},{"alias_kind":"pith_short_12","alias_value":"M5A7GMRAYCXN","created_at":"2026-07-05T03:49:49Z"},{"alias_kind":"pith_short_16","alias_value":"M5A7GMRAYCXNRAUJ","created_at":"2026-07-05T03:49:49Z"},{"alias_kind":"pith_short_8","alias_value":"M5A7GMRA","created_at":"2026-07-05T03:49:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:M5A7GMRAYCXNRAUJAI2OZ7T64V","target":"record","payload":{"canonical_record":{"source":{"id":"2201.07681","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2022-01-19T16:12:25Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f8142f3e7ba8784260cd7396539f2439df45b00a29fe3f62563a51a27e452764","abstract_canon_sha256":"77172f1d25daf5d09ef392fd3cfae6ddd08ec8af7435ba0340d1ef866f9752ec"},"schema_version":"1.0"},"canonical_sha256":"6741f33220c0aed882890234ecfe7ee57aefc3e7bf122697dcff117a6053de22","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:49:49.455328Z","signature_b64":"YxTzhqfTaqUQiFOM+dJVMYMUKMJ41ATAxDRyNDy2DPoDLDK+IUaZQDvLhTCYMwn3B9FZVEaD8A+nHs+A2HuZCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6741f33220c0aed882890234ecfe7ee57aefc3e7bf122697dcff117a6053de22","last_reissued_at":"2026-07-05T03:49:49.454920Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:49:49.454920Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2201.07681","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":"2026-07-05T03:49:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oN5IzSylYNbcxQ3moko+MB14T1RxqC4TKUpvZQUdHkPJrmUdYoL5OTjmbZ/lELJ1fWV7KKoYYI3uPkPOkkSNAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:33:35.447118Z"},"content_sha256":"6a1d9e3e227c62f2830515712649dba36bc40e3fbb42b44627359a6e95369bbb","schema_version":"1.0","event_id":"sha256:6a1d9e3e227c62f2830515712649dba36bc40e3fbb42b44627359a6e95369bbb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:M5A7GMRAYCXNRAUJAI2OZ7T64V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning to Rank For Push Notifications Using Pairwise Expected Regret","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Haofeng Jia, Huasen Wu, Jonathan J Hunt, Shaodan Zhai, Wenzhe Shi, Yuanpu Xie, Yuguang Yue","submitted_at":"2022-01-19T16:12:25Z","abstract_excerpt":"Listwise ranking losses have been widely studied in recommender systems. However, new paradigms of content consumption present new challenges for ranking methods. In this work we contribute an analysis of learning to rank for personalized mobile push notifications and discuss the unique challenges this presents compared to traditional ranking problems. To address these challenges, we introduce a novel ranking loss based on weighting the pairwise loss between candidates by the expected regret incurred for misordering the pair. We demonstrate that the proposed method can outperform prior methods"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.07681","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/2201.07681/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":"2026-07-05T03:49:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b6QI+65KSsbkBPRVNFouA4Pvu0K+K2cQkiVb42HFEQ12W9JHWaiGONj9QfYxOGSJ3PMAmRWovQzQmzTdTo7PCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:33:35.448610Z"},"content_sha256":"02dab6a773affc2f2faec3514d7a06b1f4f71d43eab388226962d221a566a2d9","schema_version":"1.0","event_id":"sha256:02dab6a773affc2f2faec3514d7a06b1f4f71d43eab388226962d221a566a2d9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M5A7GMRAYCXNRAUJAI2OZ7T64V/bundle.json","state_url":"https://pith.science/pith/M5A7GMRAYCXNRAUJAI2OZ7T64V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M5A7GMRAYCXNRAUJAI2OZ7T64V/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":"2026-08-03T16:33:35Z","links":{"resolver":"https://pith.science/pith/M5A7GMRAYCXNRAUJAI2OZ7T64V","bundle":"https://pith.science/pith/M5A7GMRAYCXNRAUJAI2OZ7T64V/bundle.json","state":"https://pith.science/pith/M5A7GMRAYCXNRAUJAI2OZ7T64V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M5A7GMRAYCXNRAUJAI2OZ7T64V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:M5A7GMRAYCXNRAUJAI2OZ7T64V","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":"77172f1d25daf5d09ef392fd3cfae6ddd08ec8af7435ba0340d1ef866f9752ec","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2022-01-19T16:12:25Z","title_canon_sha256":"f8142f3e7ba8784260cd7396539f2439df45b00a29fe3f62563a51a27e452764"},"schema_version":"1.0","source":{"id":"2201.07681","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.07681","created_at":"2026-07-05T03:49:49Z"},{"alias_kind":"arxiv_version","alias_value":"2201.07681v1","created_at":"2026-07-05T03:49:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.07681","created_at":"2026-07-05T03:49:49Z"},{"alias_kind":"pith_short_12","alias_value":"M5A7GMRAYCXN","created_at":"2026-07-05T03:49:49Z"},{"alias_kind":"pith_short_16","alias_value":"M5A7GMRAYCXNRAUJ","created_at":"2026-07-05T03:49:49Z"},{"alias_kind":"pith_short_8","alias_value":"M5A7GMRA","created_at":"2026-07-05T03:49:49Z"}],"graph_snapshots":[{"event_id":"sha256:02dab6a773affc2f2faec3514d7a06b1f4f71d43eab388226962d221a566a2d9","target":"graph","created_at":"2026-07-05T03:49:49Z","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/2201.07681/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Listwise ranking losses have been widely studied in recommender systems. However, new paradigms of content consumption present new challenges for ranking methods. In this work we contribute an analysis of learning to rank for personalized mobile push notifications and discuss the unique challenges this presents compared to traditional ranking problems. To address these challenges, we introduce a novel ranking loss based on weighting the pairwise loss between candidates by the expected regret incurred for misordering the pair. We demonstrate that the proposed method can outperform prior methods","authors_text":"Haofeng Jia, Huasen Wu, Jonathan J Hunt, Shaodan Zhai, Wenzhe Shi, Yuanpu Xie, Yuguang Yue","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2022-01-19T16:12:25Z","title":"Learning to Rank For Push Notifications Using Pairwise Expected Regret"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.07681","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":"sha256:6a1d9e3e227c62f2830515712649dba36bc40e3fbb42b44627359a6e95369bbb","target":"record","created_at":"2026-07-05T03:49:49Z","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":"77172f1d25daf5d09ef392fd3cfae6ddd08ec8af7435ba0340d1ef866f9752ec","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2022-01-19T16:12:25Z","title_canon_sha256":"f8142f3e7ba8784260cd7396539f2439df45b00a29fe3f62563a51a27e452764"},"schema_version":"1.0","source":{"id":"2201.07681","kind":"arxiv","version":1}},"canonical_sha256":"6741f33220c0aed882890234ecfe7ee57aefc3e7bf122697dcff117a6053de22","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6741f33220c0aed882890234ecfe7ee57aefc3e7bf122697dcff117a6053de22","first_computed_at":"2026-07-05T03:49:49.454920Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:49:49.454920Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YxTzhqfTaqUQiFOM+dJVMYMUKMJ41ATAxDRyNDy2DPoDLDK+IUaZQDvLhTCYMwn3B9FZVEaD8A+nHs+A2HuZCw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:49:49.455328Z","signed_message":"canonical_sha256_bytes"},"source_id":"2201.07681","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6a1d9e3e227c62f2830515712649dba36bc40e3fbb42b44627359a6e95369bbb","sha256:02dab6a773affc2f2faec3514d7a06b1f4f71d43eab388226962d221a566a2d9"],"state_sha256":"0b7c92efeac92bf0eb5cbe8a15dad8d9a023b44861a89c794ecf67855870a8b9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LJXFaYsqMjSEg9/0LQ5s2uiyQO5QmI+vEYaRGVNZQiGcW1jzxZghFt69DJ6f/RZXz31HTjEUCNd0Td/zL8JhDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:33:35.457649Z","bundle_sha256":"d02bf6cf867158197430263afccba5bdad6ca6631cda1d6408b4f95afa29dced"}}