{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:4BRCQI7CGZSNURFIQEIN5Z5PW3","short_pith_number":"pith:4BRCQI7C","canonical_record":{"source":{"id":"2602.22632","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-02-26T05:17:24Z","cross_cats_sorted":[],"title_canon_sha256":"bd088ce21b9d4fe0820ad63cae40751e34f3453a4f8a56fb1f54c305baf698eb","abstract_canon_sha256":"2c86cccd419d0427711ddbacc5f1ca09a81fc3f151affa80a232e680c046062c"},"schema_version":"1.0"},"canonical_sha256":"e0622823e23664da44a88110dee7afb6f8c4593a4e85dd83c2d29458fe246bdf","source":{"kind":"arxiv","id":"2602.22632","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.22632","created_at":"2026-08-11T01:20:28Z"},{"alias_kind":"arxiv_version","alias_value":"2602.22632v3","created_at":"2026-08-11T01:20:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.22632","created_at":"2026-08-11T01:20:28Z"},{"alias_kind":"pith_short_12","alias_value":"4BRCQI7CGZSN","created_at":"2026-08-11T01:20:28Z"},{"alias_kind":"pith_short_16","alias_value":"4BRCQI7CGZSNURFI","created_at":"2026-08-11T01:20:28Z"},{"alias_kind":"pith_short_8","alias_value":"4BRCQI7C","created_at":"2026-08-11T01:20:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:4BRCQI7CGZSNURFIQEIN5Z5PW3","target":"record","payload":{"canonical_record":{"source":{"id":"2602.22632","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-02-26T05:17:24Z","cross_cats_sorted":[],"title_canon_sha256":"bd088ce21b9d4fe0820ad63cae40751e34f3453a4f8a56fb1f54c305baf698eb","abstract_canon_sha256":"2c86cccd419d0427711ddbacc5f1ca09a81fc3f151affa80a232e680c046062c"},"schema_version":"1.0"},"canonical_sha256":"e0622823e23664da44a88110dee7afb6f8c4593a4e85dd83c2d29458fe246bdf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-11T01:20:28.863960Z","signature_b64":"VXF/oxH7AewVC3BLQ8qwVyH1LLpeAl7V+sJMkIGpsCMXnDa99/pke9OmuVpXy6WozBG0fqCB0HrQk1s4161LDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e0622823e23664da44a88110dee7afb6f8c4593a4e85dd83c2d29458fe246bdf","last_reissued_at":"2026-08-11T01:20:28.861363Z","signature_status":"signed_v1","first_computed_at":"2026-08-11T01:20:28.861363Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.22632","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-11T01:20:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P2WWtt6xiuKtJJ7T3bFeXBm2K5UMEm74hwzIgPoeTQcdpe7c9zmwYhTFXrZvV2hSAk2AQsPvzPtxQxMZEklRAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T04:25:46.310292Z"},"content_sha256":"92cbb8e058a6c7028789ab7f0d2f4658f55ed36003351b14250639e9b2407574","schema_version":"1.0","event_id":"sha256:92cbb8e058a6c7028789ab7f0d2f4658f55ed36003351b14250639e9b2407574"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:4BRCQI7CGZSNURFIQEIN5Z5PW3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fine-grained Semantics Integration for Large Language Model-based Recommendation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Bin Wu, Chao Yi, Feifang Yang, Han Zhu, Jiancan Wu, Jiawei Feng, Leheng Sheng, Xiangnan He, Xiang-Rong Sheng, Xiang Wang, Xiaoyu Kong","submitted_at":"2026-02-26T05:17:24Z","abstract_excerpt":"Recent advances in Large Language Models (LLMs) have driven a shift in recommender systems from the discriminative paradigm to the LLM-based generative paradigm, where the recommender autoregressively generates sequences of semantic identifiers (SIDs) for target items conditioned on historical interaction. While prevalent LLM-based recommenders have demonstrated performance gains by aligning pretrained LLMs between the language space and the SID space, modeling the SID space still faces two fundamental challenges: (i) Semantically Meaningless Initialization: SID tokens are initialized by rando"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.22632","kind":"arxiv","version":3},"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/2602.22632/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":"2026-08-11T01:20:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sCQzQLy5oYBx29tFeKd3kA05kjnM1WegIVBKhXebIg/jNwgrkehyeqTOnP1LPeVFzjnEVtRLYL7E6ToDVqpLDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T04:25:46.310858Z"},"content_sha256":"eba2c2c51c425c7feb34487eb8c09cd86a72ff2b31a4c2b55428b2544fe3537e","schema_version":"1.0","event_id":"sha256:eba2c2c51c425c7feb34487eb8c09cd86a72ff2b31a4c2b55428b2544fe3537e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4BRCQI7CGZSNURFIQEIN5Z5PW3/bundle.json","state_url":"https://pith.science/pith/4BRCQI7CGZSNURFIQEIN5Z5PW3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4BRCQI7CGZSNURFIQEIN5Z5PW3/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":"2026-08-24T04:25:46Z","links":{"resolver":"https://pith.science/pith/4BRCQI7CGZSNURFIQEIN5Z5PW3","bundle":"https://pith.science/pith/4BRCQI7CGZSNURFIQEIN5Z5PW3/bundle.json","state":"https://pith.science/pith/4BRCQI7CGZSNURFIQEIN5Z5PW3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4BRCQI7CGZSNURFIQEIN5Z5PW3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:4BRCQI7CGZSNURFIQEIN5Z5PW3","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":"2c86cccd419d0427711ddbacc5f1ca09a81fc3f151affa80a232e680c046062c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-02-26T05:17:24Z","title_canon_sha256":"bd088ce21b9d4fe0820ad63cae40751e34f3453a4f8a56fb1f54c305baf698eb"},"schema_version":"1.0","source":{"id":"2602.22632","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.22632","created_at":"2026-08-11T01:20:28Z"},{"alias_kind":"arxiv_version","alias_value":"2602.22632v3","created_at":"2026-08-11T01:20:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.22632","created_at":"2026-08-11T01:20:28Z"},{"alias_kind":"pith_short_12","alias_value":"4BRCQI7CGZSN","created_at":"2026-08-11T01:20:28Z"},{"alias_kind":"pith_short_16","alias_value":"4BRCQI7CGZSNURFI","created_at":"2026-08-11T01:20:28Z"},{"alias_kind":"pith_short_8","alias_value":"4BRCQI7C","created_at":"2026-08-11T01:20:28Z"}],"graph_snapshots":[{"event_id":"sha256:eba2c2c51c425c7feb34487eb8c09cd86a72ff2b31a4c2b55428b2544fe3537e","target":"graph","created_at":"2026-08-11T01:20:28Z","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/2602.22632/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in Large Language Models (LLMs) have driven a shift in recommender systems from the discriminative paradigm to the LLM-based generative paradigm, where the recommender autoregressively generates sequences of semantic identifiers (SIDs) for target items conditioned on historical interaction. While prevalent LLM-based recommenders have demonstrated performance gains by aligning pretrained LLMs between the language space and the SID space, modeling the SID space still faces two fundamental challenges: (i) Semantically Meaningless Initialization: SID tokens are initialized by rando","authors_text":"Bin Wu, Chao Yi, Feifang Yang, Han Zhu, Jiancan Wu, Jiawei Feng, Leheng Sheng, Xiangnan He, Xiang-Rong Sheng, Xiang Wang, Xiaoyu Kong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-02-26T05:17:24Z","title":"Fine-grained Semantics Integration for Large Language Model-based Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.22632","kind":"arxiv","version":3},"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":"sha256:92cbb8e058a6c7028789ab7f0d2f4658f55ed36003351b14250639e9b2407574","target":"record","created_at":"2026-08-11T01:20:28Z","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":"2c86cccd419d0427711ddbacc5f1ca09a81fc3f151affa80a232e680c046062c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-02-26T05:17:24Z","title_canon_sha256":"bd088ce21b9d4fe0820ad63cae40751e34f3453a4f8a56fb1f54c305baf698eb"},"schema_version":"1.0","source":{"id":"2602.22632","kind":"arxiv","version":3}},"canonical_sha256":"e0622823e23664da44a88110dee7afb6f8c4593a4e85dd83c2d29458fe246bdf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e0622823e23664da44a88110dee7afb6f8c4593a4e85dd83c2d29458fe246bdf","first_computed_at":"2026-08-11T01:20:28.861363Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-11T01:20:28.861363Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VXF/oxH7AewVC3BLQ8qwVyH1LLpeAl7V+sJMkIGpsCMXnDa99/pke9OmuVpXy6WozBG0fqCB0HrQk1s4161LDA==","signature_status":"signed_v1","signed_at":"2026-08-11T01:20:28.863960Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.22632","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:92cbb8e058a6c7028789ab7f0d2f4658f55ed36003351b14250639e9b2407574","sha256:eba2c2c51c425c7feb34487eb8c09cd86a72ff2b31a4c2b55428b2544fe3537e"],"state_sha256":"723b520bd8d13e157f7d26ba027ffb8d52fb2736e0bfd2db0c0f0071929d0b98"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ie2ndEE89cbOlgOW1CJeUHRvnzz3cU6nPQmRJcJZimg7E704dKVwBSMYdkjLuVtAERDDv5WgqdkoTfg3VPskBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-24T04:25:46.315452Z","bundle_sha256":"7ce93a76f2348f7a4fc61f640e48dc0091dfe2cf5e54abecbd59cce060dee034"}}