{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:BYQUCIWMIFF54SMQY7UOXGFK5M","short_pith_number":"pith:BYQUCIWM","canonical_record":{"source":{"id":"2509.03131","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-09-03T08:33:43Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2c674569033b41ecb0dc240b67a53155cbbefa05f3caa88f198ac9e48248d7c6","abstract_canon_sha256":"1888a58f69b8529ac804d60974367e0d82bfdcbe03e677c58293e6e461ad64b6"},"schema_version":"1.0"},"canonical_sha256":"0e214122cc414bde4990c7e8eb98aaeb131a818c67827ec78e630e75ea03f707","source":{"kind":"arxiv","id":"2509.03131","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.03131","created_at":"2026-07-05T12:04:04Z"},{"alias_kind":"arxiv_version","alias_value":"2509.03131v1","created_at":"2026-07-05T12:04:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.03131","created_at":"2026-07-05T12:04:04Z"},{"alias_kind":"pith_short_12","alias_value":"BYQUCIWMIFF5","created_at":"2026-07-05T12:04:04Z"},{"alias_kind":"pith_short_16","alias_value":"BYQUCIWMIFF54SMQ","created_at":"2026-07-05T12:04:04Z"},{"alias_kind":"pith_short_8","alias_value":"BYQUCIWM","created_at":"2026-07-05T12:04:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:BYQUCIWMIFF54SMQY7UOXGFK5M","target":"record","payload":{"canonical_record":{"source":{"id":"2509.03131","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-09-03T08:33:43Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2c674569033b41ecb0dc240b67a53155cbbefa05f3caa88f198ac9e48248d7c6","abstract_canon_sha256":"1888a58f69b8529ac804d60974367e0d82bfdcbe03e677c58293e6e461ad64b6"},"schema_version":"1.0"},"canonical_sha256":"0e214122cc414bde4990c7e8eb98aaeb131a818c67827ec78e630e75ea03f707","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:04:04.682775Z","signature_b64":"DeeIkfiVqkXSViELsaueKta2m7ePLF2Fi/IcfCiGghUNfI0EL8RwY+e3j/0CTpqoP3DCn2sxr26N22XX+psIDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0e214122cc414bde4990c7e8eb98aaeb131a818c67827ec78e630e75ea03f707","last_reissued_at":"2026-07-05T12:04:04.682147Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:04:04.682147Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.03131","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":"2026-07-05T12:04:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iGGv6AeTaASbgp1/TMUxX2RYE3snVZ+M1JMam8E8K+f+BT+CcRfBpXO10tNLJLlQ+JW3f9BnlEtad//tfS3DCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T00:46:31.610351Z"},"content_sha256":"d96e051882ef91d22d92f8966c784a1c8974a42e23fe7f99b7f598bb564ec575","schema_version":"1.0","event_id":"sha256:d96e051882ef91d22d92f8966c784a1c8974a42e23fe7f99b7f598bb564ec575"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:BYQUCIWMIFF54SMQY7UOXGFK5M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Hai Huang, Jieming Zhu, Ke Lei, Qijiong Liu, Ruiming Tang, Sashuai Zhou, Weinan Gan, Yan Xia, Zhenhua Dong, Zhou Zhao","submitted_at":"2025-09-03T08:33:43Z","abstract_excerpt":"Recent advances in LLM-based recommendation have shown promise, yet their cross-domain generalization is hindered by a fundamental mismatch between language-centric pretraining and the recommendation task. Existing methods, relying on language-level knowledge, fail to capture dynamic, item-level user interests across domains. To bridge this gap, we propose RecBase, a domain-agnostic foundational model pretrained with a recommendation-oriented objective. RecBase leverages a large-scale, heterogeneous, cross-domain corpus with unified textual representations and feature mappings to enhance cross"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.03131","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/2509.03131/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":"2026-07-05T12:04:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sWB2mzaj/tec9EgWxqb1x2msUA5zuSDbSb1mAP/KhhQO9jzHrCcZ3ZsHO7pJUyre8lBjx92hJfr0UzrtlIM4DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T00:46:31.611888Z"},"content_sha256":"7451801eb9f92e90da391acc8db12ec818777c7a3c3553da1a2a051269b3f035","schema_version":"1.0","event_id":"sha256:7451801eb9f92e90da391acc8db12ec818777c7a3c3553da1a2a051269b3f035"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BYQUCIWMIFF54SMQY7UOXGFK5M/bundle.json","state_url":"https://pith.science/pith/BYQUCIWMIFF54SMQY7UOXGFK5M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BYQUCIWMIFF54SMQY7UOXGFK5M/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":"2026-08-06T00:46:31Z","links":{"resolver":"https://pith.science/pith/BYQUCIWMIFF54SMQY7UOXGFK5M","bundle":"https://pith.science/pith/BYQUCIWMIFF54SMQY7UOXGFK5M/bundle.json","state":"https://pith.science/pith/BYQUCIWMIFF54SMQY7UOXGFK5M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BYQUCIWMIFF54SMQY7UOXGFK5M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BYQUCIWMIFF54SMQY7UOXGFK5M","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":"1888a58f69b8529ac804d60974367e0d82bfdcbe03e677c58293e6e461ad64b6","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-09-03T08:33:43Z","title_canon_sha256":"2c674569033b41ecb0dc240b67a53155cbbefa05f3caa88f198ac9e48248d7c6"},"schema_version":"1.0","source":{"id":"2509.03131","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.03131","created_at":"2026-07-05T12:04:04Z"},{"alias_kind":"arxiv_version","alias_value":"2509.03131v1","created_at":"2026-07-05T12:04:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.03131","created_at":"2026-07-05T12:04:04Z"},{"alias_kind":"pith_short_12","alias_value":"BYQUCIWMIFF5","created_at":"2026-07-05T12:04:04Z"},{"alias_kind":"pith_short_16","alias_value":"BYQUCIWMIFF54SMQ","created_at":"2026-07-05T12:04:04Z"},{"alias_kind":"pith_short_8","alias_value":"BYQUCIWM","created_at":"2026-07-05T12:04:04Z"}],"graph_snapshots":[{"event_id":"sha256:7451801eb9f92e90da391acc8db12ec818777c7a3c3553da1a2a051269b3f035","target":"graph","created_at":"2026-07-05T12:04:04Z","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/2509.03131/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in LLM-based recommendation have shown promise, yet their cross-domain generalization is hindered by a fundamental mismatch between language-centric pretraining and the recommendation task. Existing methods, relying on language-level knowledge, fail to capture dynamic, item-level user interests across domains. To bridge this gap, we propose RecBase, a domain-agnostic foundational model pretrained with a recommendation-oriented objective. RecBase leverages a large-scale, heterogeneous, cross-domain corpus with unified textual representations and feature mappings to enhance cross","authors_text":"Hai Huang, Jieming Zhu, Ke Lei, Qijiong Liu, Ruiming Tang, Sashuai Zhou, Weinan Gan, Yan Xia, Zhenhua Dong, Zhou Zhao","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.03131","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:d96e051882ef91d22d92f8966c784a1c8974a42e23fe7f99b7f598bb564ec575","target":"record","created_at":"2026-07-05T12:04:04Z","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":"1888a58f69b8529ac804d60974367e0d82bfdcbe03e677c58293e6e461ad64b6","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-09-03T08:33:43Z","title_canon_sha256":"2c674569033b41ecb0dc240b67a53155cbbefa05f3caa88f198ac9e48248d7c6"},"schema_version":"1.0","source":{"id":"2509.03131","kind":"arxiv","version":1}},"canonical_sha256":"0e214122cc414bde4990c7e8eb98aaeb131a818c67827ec78e630e75ea03f707","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0e214122cc414bde4990c7e8eb98aaeb131a818c67827ec78e630e75ea03f707","first_computed_at":"2026-07-05T12:04:04.682147Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:04:04.682147Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DeeIkfiVqkXSViELsaueKta2m7ePLF2Fi/IcfCiGghUNfI0EL8RwY+e3j/0CTpqoP3DCn2sxr26N22XX+psIDA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:04:04.682775Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.03131","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d96e051882ef91d22d92f8966c784a1c8974a42e23fe7f99b7f598bb564ec575","sha256:7451801eb9f92e90da391acc8db12ec818777c7a3c3553da1a2a051269b3f035"],"state_sha256":"4472f9ca1b9729988c6dda689ca2645d638ba83ba093c574bb8da13dbde22237"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4cuNYeu4C3ZL64GKHXn0l2JK5eKo1caf/aq2zgtBDMUdsFCOmeYSqXBDzOmdnGncA7Br4MKMnOC6Od1YyZv/BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T00:46:31.621441Z","bundle_sha256":"2691df466f5f307f5b375709fb7e378bd357e3fc63a393e9c71b42b85fd6affe"}}