{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:MHZHIVEQR76GQZKRRATDDPHYCG","short_pith_number":"pith:MHZHIVEQ","canonical_record":{"source":{"id":"2308.12256","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2023-08-23T17:16:07Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"aeb4e080bf53e6a8b7e0ed4c3af980978f0830a9985ea90f857cf0bc6312e2da","abstract_canon_sha256":"4510d875695c76c6cb4ab2cd7730e76b815f4e7f9229c0176eb013236630358e"},"schema_version":"1.0"},"canonical_sha256":"61f27454908ffc686551882631bcf811be150e497a63f85b552376b10324c987","source":{"kind":"arxiv","id":"2308.12256","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.12256","created_at":"2026-07-05T06:44:02Z"},{"alias_kind":"arxiv_version","alias_value":"2308.12256v1","created_at":"2026-07-05T06:44:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.12256","created_at":"2026-07-05T06:44:02Z"},{"alias_kind":"pith_short_12","alias_value":"MHZHIVEQR76G","created_at":"2026-07-05T06:44:02Z"},{"alias_kind":"pith_short_16","alias_value":"MHZHIVEQR76GQZKR","created_at":"2026-07-05T06:44:02Z"},{"alias_kind":"pith_short_8","alias_value":"MHZHIVEQ","created_at":"2026-07-05T06:44:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:MHZHIVEQR76GQZKRRATDDPHYCG","target":"record","payload":{"canonical_record":{"source":{"id":"2308.12256","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2023-08-23T17:16:07Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"aeb4e080bf53e6a8b7e0ed4c3af980978f0830a9985ea90f857cf0bc6312e2da","abstract_canon_sha256":"4510d875695c76c6cb4ab2cd7730e76b815f4e7f9229c0176eb013236630358e"},"schema_version":"1.0"},"canonical_sha256":"61f27454908ffc686551882631bcf811be150e497a63f85b552376b10324c987","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:44:02.061242Z","signature_b64":"eJAXrpKvoWpfXXcjp1Jvi+vBKjY3ILy0ZlryEdA6v5Rq31mCxWdSBmVaQ1Zu+Oqi2OyJDpvOtBkIYSKu/NWGBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"61f27454908ffc686551882631bcf811be150e497a63f85b552376b10324c987","last_reissued_at":"2026-07-05T06:44:02.060731Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:44:02.060731Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.12256","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":"2026-07-05T06:44:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"njsXwIhWVzf7ttRg4ISdCYq3a61YNZ3LEtRxsO1wrm36zC+GPdNJFtzoKCtvf+HLiFaFzb4LG5oOGZq+DXSxAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T06:27:08.543070Z"},"content_sha256":"17852ab798f2444c19d9756605128605e7b845e6eb0f448258aa070ac7c66e1a","schema_version":"1.0","event_id":"sha256:17852ab798f2444c19d9756605128605e7b845e6eb0f448258aa070ac7c66e1a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:MHZHIVEQR76GQZKRRATDDPHYCG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Alex Beutel, Elaine Ya Le, Jingchen Feng, Longfei Li, Min-Cheng Huang, Shane Li, Shuchao Bi, Shuo Chang, Xujian Liang, Yaping Zhang, Yoni Halpern, Yueqi Wang","submitted_at":"2023-08-23T17:16:07Z","abstract_excerpt":"Sequential recommenders have been widely used in industry due to their strength in modeling user preferences. While these models excel at learning a user's positive interests, less attention has been paid to learning from negative user feedback. Negative user feedback is an important lever of user control, and comes with an expectation that recommenders should respond quickly and reduce similar recommendations to the user. However, negative feedback signals are often ignored in the training objective of sequential retrieval models, which primarily aim at predicting positive user interactions. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.12256","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/2308.12256/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":"2026-07-05T06:44:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vZayM+tXP1QnLrSWOiJk5QPIpwZe+yph0cLsiiAPMlgeqaeLSZtzKQEZajiq6Upnsg0iT63tRsMcEsCQyFuaBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T06:27:08.543735Z"},"content_sha256":"95ba61f20d108845bf0260a12971e329be1d73120744e2675105eff57da07cc1","schema_version":"1.0","event_id":"sha256:95ba61f20d108845bf0260a12971e329be1d73120744e2675105eff57da07cc1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MHZHIVEQR76GQZKRRATDDPHYCG/bundle.json","state_url":"https://pith.science/pith/MHZHIVEQR76GQZKRRATDDPHYCG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MHZHIVEQR76GQZKRRATDDPHYCG/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":"2026-07-07T06:27:08Z","links":{"resolver":"https://pith.science/pith/MHZHIVEQR76GQZKRRATDDPHYCG","bundle":"https://pith.science/pith/MHZHIVEQR76GQZKRRATDDPHYCG/bundle.json","state":"https://pith.science/pith/MHZHIVEQR76GQZKRRATDDPHYCG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MHZHIVEQR76GQZKRRATDDPHYCG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:MHZHIVEQR76GQZKRRATDDPHYCG","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":"4510d875695c76c6cb4ab2cd7730e76b815f4e7f9229c0176eb013236630358e","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2023-08-23T17:16:07Z","title_canon_sha256":"aeb4e080bf53e6a8b7e0ed4c3af980978f0830a9985ea90f857cf0bc6312e2da"},"schema_version":"1.0","source":{"id":"2308.12256","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.12256","created_at":"2026-07-05T06:44:02Z"},{"alias_kind":"arxiv_version","alias_value":"2308.12256v1","created_at":"2026-07-05T06:44:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.12256","created_at":"2026-07-05T06:44:02Z"},{"alias_kind":"pith_short_12","alias_value":"MHZHIVEQR76G","created_at":"2026-07-05T06:44:02Z"},{"alias_kind":"pith_short_16","alias_value":"MHZHIVEQR76GQZKR","created_at":"2026-07-05T06:44:02Z"},{"alias_kind":"pith_short_8","alias_value":"MHZHIVEQ","created_at":"2026-07-05T06:44:02Z"}],"graph_snapshots":[{"event_id":"sha256:95ba61f20d108845bf0260a12971e329be1d73120744e2675105eff57da07cc1","target":"graph","created_at":"2026-07-05T06:44:02Z","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/2308.12256/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sequential recommenders have been widely used in industry due to their strength in modeling user preferences. While these models excel at learning a user's positive interests, less attention has been paid to learning from negative user feedback. Negative user feedback is an important lever of user control, and comes with an expectation that recommenders should respond quickly and reduce similar recommendations to the user. However, negative feedback signals are often ignored in the training objective of sequential retrieval models, which primarily aim at predicting positive user interactions. ","authors_text":"Alex Beutel, Elaine Ya Le, Jingchen Feng, Longfei Li, Min-Cheng Huang, Shane Li, Shuchao Bi, Shuo Chang, Xujian Liang, Yaping Zhang, Yoni Halpern, Yueqi Wang","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2023-08-23T17:16:07Z","title":"Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.12256","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":"sha256:17852ab798f2444c19d9756605128605e7b845e6eb0f448258aa070ac7c66e1a","target":"record","created_at":"2026-07-05T06:44:02Z","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":"4510d875695c76c6cb4ab2cd7730e76b815f4e7f9229c0176eb013236630358e","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2023-08-23T17:16:07Z","title_canon_sha256":"aeb4e080bf53e6a8b7e0ed4c3af980978f0830a9985ea90f857cf0bc6312e2da"},"schema_version":"1.0","source":{"id":"2308.12256","kind":"arxiv","version":1}},"canonical_sha256":"61f27454908ffc686551882631bcf811be150e497a63f85b552376b10324c987","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"61f27454908ffc686551882631bcf811be150e497a63f85b552376b10324c987","first_computed_at":"2026-07-05T06:44:02.060731Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:44:02.060731Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eJAXrpKvoWpfXXcjp1Jvi+vBKjY3ILy0ZlryEdA6v5Rq31mCxWdSBmVaQ1Zu+Oqi2OyJDpvOtBkIYSKu/NWGBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:44:02.061242Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.12256","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:17852ab798f2444c19d9756605128605e7b845e6eb0f448258aa070ac7c66e1a","sha256:95ba61f20d108845bf0260a12971e329be1d73120744e2675105eff57da07cc1"],"state_sha256":"8c8c4f39b5095a82a5f4b35d53ba6a0098b0feb031201ad439057ebec82e2f7b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ExEGwJqSKf8HecvssNIdnrHUK+dXvbYxMZdrIIYe7uNUpTpbomvSh6kzIpfEXncH9KCfvKlpwukd9OEVHg/zAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T06:27:08.547857Z","bundle_sha256":"5e5f9ae37717d4c553c87031a87fb86e4e2e54b20966ce9e0ca2ef788e48340b"}}