{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:J2YSWK4IZ7TLUKHHW4THUH2ALV","short_pith_number":"pith:J2YSWK4I","canonical_record":{"source":{"id":"2509.05570","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-09-06T02:54:13Z","cross_cats_sorted":[],"title_canon_sha256":"a61e7d8716b89dd0ccd1d40157ef61a175dd61cf624cb1bb9e1565c0a7bf14c8","abstract_canon_sha256":"34f5c064fe3143966e4a2807b7ef166d8279a2223df0d5c56d898f93f355e086"},"schema_version":"1.0"},"canonical_sha256":"4eb12b2b88cfe6ba28e7b7267a1f405d62638e28a9797fbd66037ba9970bfdfb","source":{"kind":"arxiv","id":"2509.05570","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.05570","created_at":"2026-07-05T12:08:07Z"},{"alias_kind":"arxiv_version","alias_value":"2509.05570v2","created_at":"2026-07-05T12:08:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.05570","created_at":"2026-07-05T12:08:07Z"},{"alias_kind":"pith_short_12","alias_value":"J2YSWK4IZ7TL","created_at":"2026-07-05T12:08:07Z"},{"alias_kind":"pith_short_16","alias_value":"J2YSWK4IZ7TLUKHH","created_at":"2026-07-05T12:08:07Z"},{"alias_kind":"pith_short_8","alias_value":"J2YSWK4I","created_at":"2026-07-05T12:08:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:J2YSWK4IZ7TLUKHHW4THUH2ALV","target":"record","payload":{"canonical_record":{"source":{"id":"2509.05570","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-09-06T02:54:13Z","cross_cats_sorted":[],"title_canon_sha256":"a61e7d8716b89dd0ccd1d40157ef61a175dd61cf624cb1bb9e1565c0a7bf14c8","abstract_canon_sha256":"34f5c064fe3143966e4a2807b7ef166d8279a2223df0d5c56d898f93f355e086"},"schema_version":"1.0"},"canonical_sha256":"4eb12b2b88cfe6ba28e7b7267a1f405d62638e28a9797fbd66037ba9970bfdfb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:08:07.816435Z","signature_b64":"NwGd7whhWevmSWzVsjtvlrtXl23OTDpYJFjtaOPDckgMFcvyJlRAVRdkjVa2TQ7507hA4RDZSzJ1UvuxdithCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4eb12b2b88cfe6ba28e7b7267a1f405d62638e28a9797fbd66037ba9970bfdfb","last_reissued_at":"2026-07-05T12:08:07.815869Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:08:07.815869Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.05570","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":"2026-07-05T12:08:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l4ApGgA9APKM76cKjtgSR4OgLYI+kFfC5012Q5eB1h3iY36dQ9dZTdO5Y9wCrJaiz+dlBvQ34OdqcO6xj+lQBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T21:29:44.671863Z"},"content_sha256":"2983977b3cdf8ba75a615fddd4577f41cb387ef19984e16c127df6ecde760c69","schema_version":"1.0","event_id":"sha256:2983977b3cdf8ba75a615fddd4577f41cb387ef19984e16c127df6ecde760c69"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:J2YSWK4IZ7TLUKHHW4THUH2ALV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LESER: Learning to Expand via Search Engine-feedback Reinforcement in e-Commerce","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Aritra Mandal, Bowen Liu, Canran Xu, Xiaoshuang Zhang, Yipeng Zhang, Zhe Wu","submitted_at":"2025-09-06T02:54:13Z","abstract_excerpt":"User queries in e-commerce search are often vague, short, and underspecified, making it difficult for retrieval systems to match them accurately against structured product catalogs. This challenge is amplified by the one-to-many nature of user intent, where a single query can imply diverse and competing needs. Existing methods, including neural query expansion and prompting-based LLM approaches, fall short in real-world settings: they struggle to capture nuanced user intent, often generate outputs that violate platform constraints, and rely on workflows that are difficult to scale in productio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.05570","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/2509.05570/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":"2026-07-05T12:08:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"haBBUp/mISEv+gq/LxcG8NUPvu2ejWPb7JKcn3DfrGoQjjWLtUvhCHC6Rw7lWW3j9Q8LaPQkdy9sYX92v1XQAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T21:29:44.672362Z"},"content_sha256":"33d6bdd95de19c8d0ddde8f407b94f9d53352694ce06e599fd40ba39f3c35640","schema_version":"1.0","event_id":"sha256:33d6bdd95de19c8d0ddde8f407b94f9d53352694ce06e599fd40ba39f3c35640"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J2YSWK4IZ7TLUKHHW4THUH2ALV/bundle.json","state_url":"https://pith.science/pith/J2YSWK4IZ7TLUKHHW4THUH2ALV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J2YSWK4IZ7TLUKHHW4THUH2ALV/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":"2026-08-16T21:29:44Z","links":{"resolver":"https://pith.science/pith/J2YSWK4IZ7TLUKHHW4THUH2ALV","bundle":"https://pith.science/pith/J2YSWK4IZ7TLUKHHW4THUH2ALV/bundle.json","state":"https://pith.science/pith/J2YSWK4IZ7TLUKHHW4THUH2ALV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J2YSWK4IZ7TLUKHHW4THUH2ALV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:J2YSWK4IZ7TLUKHHW4THUH2ALV","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":"34f5c064fe3143966e4a2807b7ef166d8279a2223df0d5c56d898f93f355e086","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-09-06T02:54:13Z","title_canon_sha256":"a61e7d8716b89dd0ccd1d40157ef61a175dd61cf624cb1bb9e1565c0a7bf14c8"},"schema_version":"1.0","source":{"id":"2509.05570","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.05570","created_at":"2026-07-05T12:08:07Z"},{"alias_kind":"arxiv_version","alias_value":"2509.05570v2","created_at":"2026-07-05T12:08:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.05570","created_at":"2026-07-05T12:08:07Z"},{"alias_kind":"pith_short_12","alias_value":"J2YSWK4IZ7TL","created_at":"2026-07-05T12:08:07Z"},{"alias_kind":"pith_short_16","alias_value":"J2YSWK4IZ7TLUKHH","created_at":"2026-07-05T12:08:07Z"},{"alias_kind":"pith_short_8","alias_value":"J2YSWK4I","created_at":"2026-07-05T12:08:07Z"}],"graph_snapshots":[{"event_id":"sha256:33d6bdd95de19c8d0ddde8f407b94f9d53352694ce06e599fd40ba39f3c35640","target":"graph","created_at":"2026-07-05T12:08:07Z","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/2509.05570/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"User queries in e-commerce search are often vague, short, and underspecified, making it difficult for retrieval systems to match them accurately against structured product catalogs. This challenge is amplified by the one-to-many nature of user intent, where a single query can imply diverse and competing needs. Existing methods, including neural query expansion and prompting-based LLM approaches, fall short in real-world settings: they struggle to capture nuanced user intent, often generate outputs that violate platform constraints, and rely on workflows that are difficult to scale in productio","authors_text":"Aritra Mandal, Bowen Liu, Canran Xu, Xiaoshuang Zhang, Yipeng Zhang, Zhe Wu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-09-06T02:54:13Z","title":"LESER: Learning to Expand via Search Engine-feedback Reinforcement in e-Commerce"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.05570","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":"sha256:2983977b3cdf8ba75a615fddd4577f41cb387ef19984e16c127df6ecde760c69","target":"record","created_at":"2026-07-05T12:08:07Z","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":"34f5c064fe3143966e4a2807b7ef166d8279a2223df0d5c56d898f93f355e086","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-09-06T02:54:13Z","title_canon_sha256":"a61e7d8716b89dd0ccd1d40157ef61a175dd61cf624cb1bb9e1565c0a7bf14c8"},"schema_version":"1.0","source":{"id":"2509.05570","kind":"arxiv","version":2}},"canonical_sha256":"4eb12b2b88cfe6ba28e7b7267a1f405d62638e28a9797fbd66037ba9970bfdfb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4eb12b2b88cfe6ba28e7b7267a1f405d62638e28a9797fbd66037ba9970bfdfb","first_computed_at":"2026-07-05T12:08:07.815869Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:08:07.815869Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NwGd7whhWevmSWzVsjtvlrtXl23OTDpYJFjtaOPDckgMFcvyJlRAVRdkjVa2TQ7507hA4RDZSzJ1UvuxdithCg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:08:07.816435Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.05570","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2983977b3cdf8ba75a615fddd4577f41cb387ef19984e16c127df6ecde760c69","sha256:33d6bdd95de19c8d0ddde8f407b94f9d53352694ce06e599fd40ba39f3c35640"],"state_sha256":"32567b5f32e7cee13aacc1700b7fb2df86cffc44c6ecec7afd483bc89c633b40"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i2qzoJeY2uZE7qVALoPEPNtZ4dhqB6tIBiBEuzaQXPa+f6hfk7SMLHBLzSyxdjqAcLCou0R+arC5VUf26uFQAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T21:29:44.676019Z","bundle_sha256":"fa79395eb9ec43e1ced60785399cffdd013b9e1f36dfbca86304df9fe4f84dd3"}}