{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:6J46SWNWPM73DNBNZNOWTZZICG","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":"073b139011c73776aac4309e5d005ea566addad3da9729d0872bd28d68a71e15","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-07-25T04:45:04Z","title_canon_sha256":"97da0737f85f300c0db4a014613573272fe69615f80439f5f91a2e042cf2375b"},"schema_version":"1.0","source":{"id":"2607.23038","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.23038","created_at":"2026-07-28T00:22:08Z"},{"alias_kind":"arxiv_version","alias_value":"2607.23038v1","created_at":"2026-07-28T00:22:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.23038","created_at":"2026-07-28T00:22:08Z"},{"alias_kind":"pith_short_12","alias_value":"6J46SWNWPM73","created_at":"2026-07-28T00:22:08Z"},{"alias_kind":"pith_short_16","alias_value":"6J46SWNWPM73DNBN","created_at":"2026-07-28T00:22:08Z"},{"alias_kind":"pith_short_8","alias_value":"6J46SWNW","created_at":"2026-07-28T00:22:08Z"}],"graph_snapshots":[{"event_id":"sha256:fb4626a01db639b5a17bf293e300fce03487f5160fbbd1036ec50614066f53d7","target":"graph","created_at":"2026-07-28T00:22:08Z","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/2607.23038/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative retrieval is increasingly popular in large-scale recommendation and advertising systems, yet current methods introduce practical complications. Semantic-ID methods rely on quantization, mutable identifier vocabularies, and token-to-item grounding; embedding-based pipelines train the item encoder separately from the query generator, which limits user-item alignment. We propose EGR, an Embedding-Native Generative Retrieval framework for recommendation and advertising. EGR uses a single shared LLM to learn item representations from item metadata and user representations from interactio","authors_text":"Congfei Zhang, Hsiang-wei Chao, Jinchao Li, Jingxiao Ma, Jitin Krishnan, Siman Wang, Tong Zhao, Vincent Zhang, Wenfeng Zhuo, Xiao Bai, XiaoDong Liu, Yajun Wang, Yunzhi Zhou, Yu Zhang, Zhe Liu, Zichu Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-07-25T04:45:04Z","title":"EGR: Embedding-Native Generative Retrieval with a Shared LLM"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.23038","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:fc885579fb4455966f38434524fc675b0a23797241345e25a3190b54fce86a7f","target":"record","created_at":"2026-07-28T00:22:08Z","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":"073b139011c73776aac4309e5d005ea566addad3da9729d0872bd28d68a71e15","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-07-25T04:45:04Z","title_canon_sha256":"97da0737f85f300c0db4a014613573272fe69615f80439f5f91a2e042cf2375b"},"schema_version":"1.0","source":{"id":"2607.23038","kind":"arxiv","version":1}},"canonical_sha256":"f279e959b67b3fb1b42dcb5d69e72811a3c0e66bdad611825d7ff25e4eaace0b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f279e959b67b3fb1b42dcb5d69e72811a3c0e66bdad611825d7ff25e4eaace0b","first_computed_at":"2026-07-28T00:22:08.936592Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-28T00:22:08.936592Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vZK60qPWaOcfSakugU3pA41VbNUHo9k/Z26NWBAf9Y4Uppj6FqqIbjSj5IXd6pv+oOK97/cDmMiwrjx9huX1Bg==","signature_status":"signed_v1","signed_at":"2026-07-28T00:22:08.937401Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.23038","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fc885579fb4455966f38434524fc675b0a23797241345e25a3190b54fce86a7f","sha256:fb4626a01db639b5a17bf293e300fce03487f5160fbbd1036ec50614066f53d7"],"state_sha256":"7b04b46bfe0d3b76a6537d322b7ce5629b9308630295cbd89b2400d31e8b4d92"}