{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:JP7VIBZCQ6HPHVXCK62BGVB7ZY","short_pith_number":"pith:JP7VIBZC","canonical_record":{"source":{"id":"2605.21752","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T21:25:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9ec6c33ab37d7fd9924f5d7b9a979fb5f070f46fd00916ae6d0cbcc618c5e1c3","abstract_canon_sha256":"33e14cfcb47921e9858d22cf93b87266ac0f09c105827f158276b8df383555a4"},"schema_version":"1.0"},"canonical_sha256":"4bff540722878ef3d6e257b413543fce035cb9163e56ab66264ad58bee841559","source":{"kind":"arxiv","id":"2605.21752","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.21752","created_at":"2026-05-22T01:03:30Z"},{"alias_kind":"arxiv_version","alias_value":"2605.21752v1","created_at":"2026-05-22T01:03:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.21752","created_at":"2026-05-22T01:03:30Z"},{"alias_kind":"pith_short_12","alias_value":"JP7VIBZCQ6HP","created_at":"2026-05-22T01:03:30Z"},{"alias_kind":"pith_short_16","alias_value":"JP7VIBZCQ6HPHVXC","created_at":"2026-05-22T01:03:30Z"},{"alias_kind":"pith_short_8","alias_value":"JP7VIBZC","created_at":"2026-05-22T01:03:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:JP7VIBZCQ6HPHVXCK62BGVB7ZY","target":"record","payload":{"canonical_record":{"source":{"id":"2605.21752","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T21:25:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9ec6c33ab37d7fd9924f5d7b9a979fb5f070f46fd00916ae6d0cbcc618c5e1c3","abstract_canon_sha256":"33e14cfcb47921e9858d22cf93b87266ac0f09c105827f158276b8df383555a4"},"schema_version":"1.0"},"canonical_sha256":"4bff540722878ef3d6e257b413543fce035cb9163e56ab66264ad58bee841559","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-22T01:03:30.546622Z","signature_b64":"vDn3WAAFrpvNa6SbTo/qSUVLEZzotDZg9WnxdZKfz6SdmH9jZFLQhKJfss7j4vayX16uYnGdcERqosH/tfRBDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4bff540722878ef3d6e257b413543fce035cb9163e56ab66264ad58bee841559","last_reissued_at":"2026-05-22T01:03:30.546188Z","signature_status":"signed_v1","first_computed_at":"2026-05-22T01:03:30.546188Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.21752","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":"2026-05-22T01:03:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mKPYnbfrkTxGssjVkNB3nS4CrcJlQFA+6Eifl1cQAEAwKIbMQ4yfFRm1xi1fB5d3sqoNaReUvrspAPsgZZ07Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T00:56:26.324280Z"},"content_sha256":"b845267bc5e4fb34a9680e8b93e8814796be3b44f0063f667ff2876d61ff08af","schema_version":"1.0","event_id":"sha256:b845267bc5e4fb34a9680e8b93e8814796be3b44f0063f667ff2876d61ff08af"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:JP7VIBZCQ6HPHVXCK62BGVB7ZY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PEARL: Unbiased Percentile Estimation via Contrastive Learning for Industrial-Scale Livestream Recommendation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Blake Gella, Emily Liu, Junlin Zhang, Qinglei Wang, Wei Wu, Wentao Guo, YuHao Yin, Zexi Huang, Zikai Wang","submitted_at":"2026-05-20T21:25:41Z","abstract_excerpt":"Recommender systems trained on user interaction data are susceptible to behavioral intensity imbalance--a systematic distortion arising from heterogeneous engagement patterns across users. This imbalance skews feedback signals such that observed interactions no longer faithfully reflect true preferences, causing models to disproportionately amplify signals from highly active users while underrepresenting others, which ultimately degrades recommendation quality and robustness at scale. To address this issue, we propose a nonparametric contrastive percentile approximation framework, PEARL, that "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.21752","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/2605.21752/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":"2026-05-22T01:03:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TyYYK4hPrn/pFCYIh6Rl+U3LEHbNnVqlBmdd61eFxwi7OmE7tYXrwGj5RMWj2zyx7+7LXKEJFvkWwEnbD35FCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T00:56:26.324676Z"},"content_sha256":"ac18eee23a67fd836e1dd303491c5d9a574326d7e47dda19e68c2d64d48f1434","schema_version":"1.0","event_id":"sha256:ac18eee23a67fd836e1dd303491c5d9a574326d7e47dda19e68c2d64d48f1434"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JP7VIBZCQ6HPHVXCK62BGVB7ZY/bundle.json","state_url":"https://pith.science/pith/JP7VIBZCQ6HPHVXCK62BGVB7ZY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JP7VIBZCQ6HPHVXCK62BGVB7ZY/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":"2026-05-28T00:56:26Z","links":{"resolver":"https://pith.science/pith/JP7VIBZCQ6HPHVXCK62BGVB7ZY","bundle":"https://pith.science/pith/JP7VIBZCQ6HPHVXCK62BGVB7ZY/bundle.json","state":"https://pith.science/pith/JP7VIBZCQ6HPHVXCK62BGVB7ZY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JP7VIBZCQ6HPHVXCK62BGVB7ZY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JP7VIBZCQ6HPHVXCK62BGVB7ZY","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":"33e14cfcb47921e9858d22cf93b87266ac0f09c105827f158276b8df383555a4","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T21:25:41Z","title_canon_sha256":"9ec6c33ab37d7fd9924f5d7b9a979fb5f070f46fd00916ae6d0cbcc618c5e1c3"},"schema_version":"1.0","source":{"id":"2605.21752","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.21752","created_at":"2026-05-22T01:03:30Z"},{"alias_kind":"arxiv_version","alias_value":"2605.21752v1","created_at":"2026-05-22T01:03:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.21752","created_at":"2026-05-22T01:03:30Z"},{"alias_kind":"pith_short_12","alias_value":"JP7VIBZCQ6HP","created_at":"2026-05-22T01:03:30Z"},{"alias_kind":"pith_short_16","alias_value":"JP7VIBZCQ6HPHVXC","created_at":"2026-05-22T01:03:30Z"},{"alias_kind":"pith_short_8","alias_value":"JP7VIBZC","created_at":"2026-05-22T01:03:30Z"}],"graph_snapshots":[{"event_id":"sha256:ac18eee23a67fd836e1dd303491c5d9a574326d7e47dda19e68c2d64d48f1434","target":"graph","created_at":"2026-05-22T01:03:30Z","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/2605.21752/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recommender systems trained on user interaction data are susceptible to behavioral intensity imbalance--a systematic distortion arising from heterogeneous engagement patterns across users. This imbalance skews feedback signals such that observed interactions no longer faithfully reflect true preferences, causing models to disproportionately amplify signals from highly active users while underrepresenting others, which ultimately degrades recommendation quality and robustness at scale. To address this issue, we propose a nonparametric contrastive percentile approximation framework, PEARL, that ","authors_text":"Blake Gella, Emily Liu, Junlin Zhang, Qinglei Wang, Wei Wu, Wentao Guo, YuHao Yin, Zexi Huang, Zikai Wang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T21:25:41Z","title":"PEARL: Unbiased Percentile Estimation via Contrastive Learning for Industrial-Scale Livestream Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.21752","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:b845267bc5e4fb34a9680e8b93e8814796be3b44f0063f667ff2876d61ff08af","target":"record","created_at":"2026-05-22T01:03:30Z","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":"33e14cfcb47921e9858d22cf93b87266ac0f09c105827f158276b8df383555a4","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-20T21:25:41Z","title_canon_sha256":"9ec6c33ab37d7fd9924f5d7b9a979fb5f070f46fd00916ae6d0cbcc618c5e1c3"},"schema_version":"1.0","source":{"id":"2605.21752","kind":"arxiv","version":1}},"canonical_sha256":"4bff540722878ef3d6e257b413543fce035cb9163e56ab66264ad58bee841559","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4bff540722878ef3d6e257b413543fce035cb9163e56ab66264ad58bee841559","first_computed_at":"2026-05-22T01:03:30.546188Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-22T01:03:30.546188Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vDn3WAAFrpvNa6SbTo/qSUVLEZzotDZg9WnxdZKfz6SdmH9jZFLQhKJfss7j4vayX16uYnGdcERqosH/tfRBDg==","signature_status":"signed_v1","signed_at":"2026-05-22T01:03:30.546622Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.21752","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b845267bc5e4fb34a9680e8b93e8814796be3b44f0063f667ff2876d61ff08af","sha256:ac18eee23a67fd836e1dd303491c5d9a574326d7e47dda19e68c2d64d48f1434"],"state_sha256":"6309494202a9d33343606c8a29dba5ea5403df96a9f987095153b93e974e0507"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5w8UNogX3thlpH/TYaSX1GAjn1GH55IsXf7WOvqWzNUKX4qgeaQ30TzHK09Agchr7+Zfr9mYBjt2YeCdVffzDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T00:56:26.327047Z","bundle_sha256":"0b92863ef6f0182789bcf07eac97b961c1123bdc87effe3a6504f26322c6163e"}}