{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ZDYSF36I3NNVK2KMF3ZHSH7RQM","short_pith_number":"pith:ZDYSF36I","canonical_record":{"source":{"id":"2305.17428","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-05-27T09:37:58Z","cross_cats_sorted":[],"title_canon_sha256":"1bec949747ffa4aab188592f0ab041dfc4f401f3ffb954b6cedbf56d25a683b8","abstract_canon_sha256":"b8a23ec542edf7ab57861016c4639e35dd63a22d79759736a2c4b7c95f928a47"},"schema_version":"1.0"},"canonical_sha256":"c8f122efc8db5b55694c2ef2791ff1832d8f1f6fd8b5f7ccf224aa806b8f83b0","source":{"kind":"arxiv","id":"2305.17428","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.17428","created_at":"2026-07-05T09:45:38Z"},{"alias_kind":"arxiv_version","alias_value":"2305.17428v2","created_at":"2026-07-05T09:45:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.17428","created_at":"2026-07-05T09:45:38Z"},{"alias_kind":"pith_short_12","alias_value":"ZDYSF36I3NNV","created_at":"2026-07-05T09:45:38Z"},{"alias_kind":"pith_short_16","alias_value":"ZDYSF36I3NNVK2KM","created_at":"2026-07-05T09:45:38Z"},{"alias_kind":"pith_short_8","alias_value":"ZDYSF36I","created_at":"2026-07-05T09:45:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ZDYSF36I3NNVK2KMF3ZHSH7RQM","target":"record","payload":{"canonical_record":{"source":{"id":"2305.17428","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-05-27T09:37:58Z","cross_cats_sorted":[],"title_canon_sha256":"1bec949747ffa4aab188592f0ab041dfc4f401f3ffb954b6cedbf56d25a683b8","abstract_canon_sha256":"b8a23ec542edf7ab57861016c4639e35dd63a22d79759736a2c4b7c95f928a47"},"schema_version":"1.0"},"canonical_sha256":"c8f122efc8db5b55694c2ef2791ff1832d8f1f6fd8b5f7ccf224aa806b8f83b0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:45:38.677254Z","signature_b64":"FXJmsBz+5eXvkBg2UpFpbZclx9DskXPPgaYXuRl3uSvUMqwX5DTBUOVtTh5eyuyBOyiO1avwdL5MV3SYwtasBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c8f122efc8db5b55694c2ef2791ff1832d8f1f6fd8b5f7ccf224aa806b8f83b0","last_reissued_at":"2026-07-05T09:45:38.676812Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:45:38.676812Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.17428","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:45:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZDyhy8mJmg875U2Df7iW9X+vEkE2cH/5iyAu5qIPvIzzy2SHGcewm78gBbiUt9+sZq5ttSZMaRLeHanvFYBSBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T01:45:06.961501Z"},"content_sha256":"cfd3f53a09da7399ac51155ae2a3af5c0bf5ecd15297ddd558a7c52d8d91dfb4","schema_version":"1.0","event_id":"sha256:cfd3f53a09da7399ac51155ae2a3af5c0bf5ecd15297ddd558a7c52d8d91dfb4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ZDYSF36I3NNVK2KMF3ZHSH7RQM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Emma Pierson, Nikhil Garg, Smitha Milli","submitted_at":"2023-05-27T09:37:58Z","abstract_excerpt":"Many recommender systems optimize a linear weighting of different user behaviors, such as clicks, likes, and shares. We analyze the optimal choice of weights from the perspectives of both users and content producers who strategically respond to the weights. We consider three aspects of each potential behavior: value-faithfulness (how well a behavior indicates whether the user values the content), strategy-robustness (how hard it is for producers to manipulate the behavior), and noisiness (how much estimation error there is in predicting the behavior). Our theoretical results show that for user"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.17428","kind":"arxiv","version":2},"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/2305.17428/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":"2026-07-05T09:45:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ltWihCpUH/ifPkMDyYkJDDMR+g7UyGdZfLd/W0xcoSQ9RNOkiHlPHU6JsXI9nGu6z7wQj8Y8IAGyAE384XSgDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T01:45:06.961923Z"},"content_sha256":"76e22a2e69c8e029cb174426bfcc8aa233a4a6b4776bb7d3cb0ef8233bef003a","schema_version":"1.0","event_id":"sha256:76e22a2e69c8e029cb174426bfcc8aa233a4a6b4776bb7d3cb0ef8233bef003a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZDYSF36I3NNVK2KMF3ZHSH7RQM/bundle.json","state_url":"https://pith.science/pith/ZDYSF36I3NNVK2KMF3ZHSH7RQM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZDYSF36I3NNVK2KMF3ZHSH7RQM/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":"2026-08-13T01:45:06Z","links":{"resolver":"https://pith.science/pith/ZDYSF36I3NNVK2KMF3ZHSH7RQM","bundle":"https://pith.science/pith/ZDYSF36I3NNVK2KMF3ZHSH7RQM/bundle.json","state":"https://pith.science/pith/ZDYSF36I3NNVK2KMF3ZHSH7RQM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZDYSF36I3NNVK2KMF3ZHSH7RQM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZDYSF36I3NNVK2KMF3ZHSH7RQM","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":"b8a23ec542edf7ab57861016c4639e35dd63a22d79759736a2c4b7c95f928a47","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-05-27T09:37:58Z","title_canon_sha256":"1bec949747ffa4aab188592f0ab041dfc4f401f3ffb954b6cedbf56d25a683b8"},"schema_version":"1.0","source":{"id":"2305.17428","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.17428","created_at":"2026-07-05T09:45:38Z"},{"alias_kind":"arxiv_version","alias_value":"2305.17428v2","created_at":"2026-07-05T09:45:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.17428","created_at":"2026-07-05T09:45:38Z"},{"alias_kind":"pith_short_12","alias_value":"ZDYSF36I3NNV","created_at":"2026-07-05T09:45:38Z"},{"alias_kind":"pith_short_16","alias_value":"ZDYSF36I3NNVK2KM","created_at":"2026-07-05T09:45:38Z"},{"alias_kind":"pith_short_8","alias_value":"ZDYSF36I","created_at":"2026-07-05T09:45:38Z"}],"graph_snapshots":[{"event_id":"sha256:76e22a2e69c8e029cb174426bfcc8aa233a4a6b4776bb7d3cb0ef8233bef003a","target":"graph","created_at":"2026-07-05T09:45:38Z","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/2305.17428/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many recommender systems optimize a linear weighting of different user behaviors, such as clicks, likes, and shares. We analyze the optimal choice of weights from the perspectives of both users and content producers who strategically respond to the weights. We consider three aspects of each potential behavior: value-faithfulness (how well a behavior indicates whether the user values the content), strategy-robustness (how hard it is for producers to manipulate the behavior), and noisiness (how much estimation error there is in predicting the behavior). Our theoretical results show that for user","authors_text":"Emma Pierson, Nikhil Garg, Smitha Milli","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-05-27T09:37:58Z","title":"Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.17428","kind":"arxiv","version":2},"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:cfd3f53a09da7399ac51155ae2a3af5c0bf5ecd15297ddd558a7c52d8d91dfb4","target":"record","created_at":"2026-07-05T09:45:38Z","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":"b8a23ec542edf7ab57861016c4639e35dd63a22d79759736a2c4b7c95f928a47","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-05-27T09:37:58Z","title_canon_sha256":"1bec949747ffa4aab188592f0ab041dfc4f401f3ffb954b6cedbf56d25a683b8"},"schema_version":"1.0","source":{"id":"2305.17428","kind":"arxiv","version":2}},"canonical_sha256":"c8f122efc8db5b55694c2ef2791ff1832d8f1f6fd8b5f7ccf224aa806b8f83b0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c8f122efc8db5b55694c2ef2791ff1832d8f1f6fd8b5f7ccf224aa806b8f83b0","first_computed_at":"2026-07-05T09:45:38.676812Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:45:38.676812Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FXJmsBz+5eXvkBg2UpFpbZclx9DskXPPgaYXuRl3uSvUMqwX5DTBUOVtTh5eyuyBOyiO1avwdL5MV3SYwtasBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:45:38.677254Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.17428","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cfd3f53a09da7399ac51155ae2a3af5c0bf5ecd15297ddd558a7c52d8d91dfb4","sha256:76e22a2e69c8e029cb174426bfcc8aa233a4a6b4776bb7d3cb0ef8233bef003a"],"state_sha256":"2eafdabe2feadb76b34d08beda73b07696c71b17cadb685b7a3ab500b8429583"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hd599wWrbOA1gPNPn7X2ZsHH/IFw9LfO4HaA0aOUQJAA6SWpGuvPHhp6LmshvdGLIp+NQoi1PSFgqmLhpkjODQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T01:45:06.964956Z","bundle_sha256":"2cb520ba85c7a88b519e55aee0fb7ed2237add6cf30163b12e1b8395494b57d3"}}