{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:V25KQUSS2C3AZLATA3QZGRCBNY","short_pith_number":"pith:V25KQUSS","canonical_record":{"source":{"id":"2602.18640","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-02-20T22:24:01Z","cross_cats_sorted":[],"title_canon_sha256":"e9fef7156e17dd39c3616991b65155c45c6e7617dced0d55d84830aa69eced47","abstract_canon_sha256":"1fb9ff960d5eb5071f989ee547c470164908841e37f23a9f7c4fb080657ea8da"},"schema_version":"1.0"},"canonical_sha256":"aebaa85252d0b60cac1306e19344416e0c7f67ccd6c4ff4a55d65abb0cdae9ec","source":{"kind":"arxiv","id":"2602.18640","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.18640","created_at":"2026-05-26T02:04:06Z"},{"alias_kind":"arxiv_version","alias_value":"2602.18640v2","created_at":"2026-05-26T02:04:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.18640","created_at":"2026-05-26T02:04:06Z"},{"alias_kind":"pith_short_12","alias_value":"V25KQUSS2C3A","created_at":"2026-05-26T02:04:06Z"},{"alias_kind":"pith_short_16","alias_value":"V25KQUSS2C3AZLAT","created_at":"2026-05-26T02:04:06Z"},{"alias_kind":"pith_short_8","alias_value":"V25KQUSS","created_at":"2026-05-26T02:04:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:V25KQUSS2C3AZLATA3QZGRCBNY","target":"record","payload":{"canonical_record":{"source":{"id":"2602.18640","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-02-20T22:24:01Z","cross_cats_sorted":[],"title_canon_sha256":"e9fef7156e17dd39c3616991b65155c45c6e7617dced0d55d84830aa69eced47","abstract_canon_sha256":"1fb9ff960d5eb5071f989ee547c470164908841e37f23a9f7c4fb080657ea8da"},"schema_version":"1.0"},"canonical_sha256":"aebaa85252d0b60cac1306e19344416e0c7f67ccd6c4ff4a55d65abb0cdae9ec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T02:04:06.903957Z","signature_b64":"QGhdloZdMagPNs0mAgxFsQah0ETc3O2RLpVU2uKmRLHes+eJdTa3z2NyD7OFru3R78+EdEcTbgpF4NSYInwCDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aebaa85252d0b60cac1306e19344416e0c7f67ccd6c4ff4a55d65abb0cdae9ec","last_reissued_at":"2026-05-26T02:04:06.903117Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T02:04:06.903117Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.18640","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":"2026-05-26T02:04:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3q0DMusOHAN79xz3Aios2HnWss5BCvWsCsIPQu3tsDemP3inaD0DPWEZyIisiy+9Oe1fe/qw1SzwVCUlYFhRBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T20:55:29.669739Z"},"content_sha256":"06291338b0ea3d103822954a0fdf481a7450706fdb1e3f79d9109642c21d0754","schema_version":"1.0","event_id":"sha256:06291338b0ea3d103822954a0fdf481a7450706fdb1e3f79d9109642c21d0754"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:V25KQUSS2C3AZLATA3QZGRCBNY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking System","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Changfan Chen, Haoran Liu, Hong Yan, Junfeng Pan, Longfei Yun, Mingze Gao, Pengfei Wang, Wenjie Fu, Xiaoxuan Liu, Yang Xia, Yihan Wu, Yi Wang, Yunxiang Wang, Ziyun Xu","submitted_at":"2026-02-20T22:24:01Z","abstract_excerpt":"Modern large-scale ranking systems operate within a sophisticated landscape of competing objectives, operational constraints, and evolving product requirements. Progress in this domain is increasingly bottlenecked by the engineering context constraint: the arduous process of translating ambiguous product intent into reasonable, executable, verifiable hypotheses, rather than by modeling techniques alone. We present GEARS (Generative Engine for Agentic Ranking Systems), a framework that reframes ranking optimization as an autonomous discovery process within a programmable experimentation environ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.18640","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/2602.18640/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":"2026-05-26T02:04:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q//Urukb8BbiUGbfcb8v2sfE9SuxjHstPiZpvYqvA7wspyMnCSb1MITEUAbNFAy06TYrN1DBac96t+EDG9efDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T20:55:29.670516Z"},"content_sha256":"a5fe4ee5333ed61b68b922a942485afcf1668dcb36b8659a8309c3522f8e9905","schema_version":"1.0","event_id":"sha256:a5fe4ee5333ed61b68b922a942485afcf1668dcb36b8659a8309c3522f8e9905"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V25KQUSS2C3AZLATA3QZGRCBNY/bundle.json","state_url":"https://pith.science/pith/V25KQUSS2C3AZLATA3QZGRCBNY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V25KQUSS2C3AZLATA3QZGRCBNY/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":"2026-05-27T20:55:29Z","links":{"resolver":"https://pith.science/pith/V25KQUSS2C3AZLATA3QZGRCBNY","bundle":"https://pith.science/pith/V25KQUSS2C3AZLATA3QZGRCBNY/bundle.json","state":"https://pith.science/pith/V25KQUSS2C3AZLATA3QZGRCBNY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V25KQUSS2C3AZLATA3QZGRCBNY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:V25KQUSS2C3AZLATA3QZGRCBNY","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":"1fb9ff960d5eb5071f989ee547c470164908841e37f23a9f7c4fb080657ea8da","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-02-20T22:24:01Z","title_canon_sha256":"e9fef7156e17dd39c3616991b65155c45c6e7617dced0d55d84830aa69eced47"},"schema_version":"1.0","source":{"id":"2602.18640","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.18640","created_at":"2026-05-26T02:04:06Z"},{"alias_kind":"arxiv_version","alias_value":"2602.18640v2","created_at":"2026-05-26T02:04:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.18640","created_at":"2026-05-26T02:04:06Z"},{"alias_kind":"pith_short_12","alias_value":"V25KQUSS2C3A","created_at":"2026-05-26T02:04:06Z"},{"alias_kind":"pith_short_16","alias_value":"V25KQUSS2C3AZLAT","created_at":"2026-05-26T02:04:06Z"},{"alias_kind":"pith_short_8","alias_value":"V25KQUSS","created_at":"2026-05-26T02:04:06Z"}],"graph_snapshots":[{"event_id":"sha256:a5fe4ee5333ed61b68b922a942485afcf1668dcb36b8659a8309c3522f8e9905","target":"graph","created_at":"2026-05-26T02:04:06Z","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/2602.18640/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern large-scale ranking systems operate within a sophisticated landscape of competing objectives, operational constraints, and evolving product requirements. Progress in this domain is increasingly bottlenecked by the engineering context constraint: the arduous process of translating ambiguous product intent into reasonable, executable, verifiable hypotheses, rather than by modeling techniques alone. We present GEARS (Generative Engine for Agentic Ranking Systems), a framework that reframes ranking optimization as an autonomous discovery process within a programmable experimentation environ","authors_text":"Changfan Chen, Haoran Liu, Hong Yan, Junfeng Pan, Longfei Yun, Mingze Gao, Pengfei Wang, Wenjie Fu, Xiaoxuan Liu, Yang Xia, Yihan Wu, Yi Wang, Yunxiang Wang, Ziyun Xu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-02-20T22:24:01Z","title":"Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking System"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.18640","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":"sha256:06291338b0ea3d103822954a0fdf481a7450706fdb1e3f79d9109642c21d0754","target":"record","created_at":"2026-05-26T02:04:06Z","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":"1fb9ff960d5eb5071f989ee547c470164908841e37f23a9f7c4fb080657ea8da","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-02-20T22:24:01Z","title_canon_sha256":"e9fef7156e17dd39c3616991b65155c45c6e7617dced0d55d84830aa69eced47"},"schema_version":"1.0","source":{"id":"2602.18640","kind":"arxiv","version":2}},"canonical_sha256":"aebaa85252d0b60cac1306e19344416e0c7f67ccd6c4ff4a55d65abb0cdae9ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aebaa85252d0b60cac1306e19344416e0c7f67ccd6c4ff4a55d65abb0cdae9ec","first_computed_at":"2026-05-26T02:04:06.903117Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:04:06.903117Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QGhdloZdMagPNs0mAgxFsQah0ETc3O2RLpVU2uKmRLHes+eJdTa3z2NyD7OFru3R78+EdEcTbgpF4NSYInwCDg==","signature_status":"signed_v1","signed_at":"2026-05-26T02:04:06.903957Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.18640","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:06291338b0ea3d103822954a0fdf481a7450706fdb1e3f79d9109642c21d0754","sha256:a5fe4ee5333ed61b68b922a942485afcf1668dcb36b8659a8309c3522f8e9905"],"state_sha256":"00ac52ca43b91c60c38dfe22e4c898ea1bf16f02e2d76709e67b41e489d4cfb8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YYkQXv5P8z4LkojbatzRxJRdFsZqYsyYOI0LUJO+ilSl9CcubePjiFpW3lrcx0KvZbpdQxkUTKIQmdJbd678CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T20:55:29.674368Z","bundle_sha256":"5a83937f7526669ad3eb47d53dadc34ca6954524df11bdf2425b3eb42f45fc1d"}}