{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:QUIG7IBNZ5L7LHDQPAPJW56QZJ","short_pith_number":"pith:QUIG7IBN","canonical_record":{"source":{"id":"2508.10478","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2025-08-14T09:28:49Z","cross_cats_sorted":[],"title_canon_sha256":"07f047737b6a7b085a831a61102da06622621c40b8838f17ccf0bd2d37b712a0","abstract_canon_sha256":"10d745539858dccf1e574f3415acded6e1f342cb8c23b364e2ac35c945359230"},"schema_version":"1.0"},"canonical_sha256":"85106fa02dcf57f59c70781e9b77d0ca789998ca371bd7268935066996e9613d","source":{"kind":"arxiv","id":"2508.10478","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.10478","created_at":"2026-07-05T11:53:57Z"},{"alias_kind":"arxiv_version","alias_value":"2508.10478v1","created_at":"2026-07-05T11:53:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.10478","created_at":"2026-07-05T11:53:57Z"},{"alias_kind":"pith_short_12","alias_value":"QUIG7IBNZ5L7","created_at":"2026-07-05T11:53:57Z"},{"alias_kind":"pith_short_16","alias_value":"QUIG7IBNZ5L7LHDQ","created_at":"2026-07-05T11:53:57Z"},{"alias_kind":"pith_short_8","alias_value":"QUIG7IBN","created_at":"2026-07-05T11:53:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:QUIG7IBNZ5L7LHDQPAPJW56QZJ","target":"record","payload":{"canonical_record":{"source":{"id":"2508.10478","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2025-08-14T09:28:49Z","cross_cats_sorted":[],"title_canon_sha256":"07f047737b6a7b085a831a61102da06622621c40b8838f17ccf0bd2d37b712a0","abstract_canon_sha256":"10d745539858dccf1e574f3415acded6e1f342cb8c23b364e2ac35c945359230"},"schema_version":"1.0"},"canonical_sha256":"85106fa02dcf57f59c70781e9b77d0ca789998ca371bd7268935066996e9613d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:53:57.258114Z","signature_b64":"hhJFRM4Eee+WU37/+52LF57XWHC1uYOnkngCowJ5J++04MHetR1ikX7oNlNp75IfQEeme5jr9Su7j7tgPhKlCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"85106fa02dcf57f59c70781e9b77d0ca789998ca371bd7268935066996e9613d","last_reissued_at":"2026-07-05T11:53:57.257701Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:53:57.257701Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.10478","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":"2026-07-05T11:53:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KkpUSMhRJ6JB5YWY6VPa/MqZh4tNeg3HWuKVigIgnOJ+69DDgGQpN+WqiD/1s92FgNJMsRPodjJWDUDcUIuVBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T12:57:05.724524Z"},"content_sha256":"f33bf98f9d1f15a27fa6db3a64503824faae76484ed173ce201748387b28f5d9","schema_version":"1.0","event_id":"sha256:f33bf98f9d1f15a27fa6db3a64503824faae76484ed173ce201748387b28f5d9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:QUIG7IBNZ5L7LHDQPAPJW56QZJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Semantic IDs for Joint Generative Search and Recommendation","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Alexandre Tamborrino, Ali Vardasbi, Edoardo D'Amico, Enrico Palumbo, Francesco Fabbri, Gustavo Penha, Hugues Bouchard, Marco De Nadai, Max Lefarov, Shawn Lin, Timothy Heath","submitted_at":"2025-08-14T09:28:49Z","abstract_excerpt":"Generative models powered by Large Language Models (LLMs) are emerging as a unified solution for powering both recommendation and search tasks. A key design choice in these models is how to represent items, traditionally through unique identifiers (IDs) and more recently with Semantic IDs composed of discrete codes, obtained from embeddings. While task-specific embedding models can improve performance for individual tasks, they may not generalize well in a joint setting. In this paper, we explore how to construct Semantic IDs that perform well both in search and recommendation when using a uni"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.10478","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/2508.10478/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":"2026-07-05T11:53:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GMVkWWPvU6GTQzKZ3rkPydiP0lFNK6VpGzCgGIYO2z6kdCr3ffXvmL5HFMl2C0VWQqCvpv3TUctCglRXQfhyAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T12:57:05.724906Z"},"content_sha256":"16d31f3a9ee7e5d11387fda013db8109fb70669adae6ded0058243aa50f3f531","schema_version":"1.0","event_id":"sha256:16d31f3a9ee7e5d11387fda013db8109fb70669adae6ded0058243aa50f3f531"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QUIG7IBNZ5L7LHDQPAPJW56QZJ/bundle.json","state_url":"https://pith.science/pith/QUIG7IBNZ5L7LHDQPAPJW56QZJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QUIG7IBNZ5L7LHDQPAPJW56QZJ/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":"2026-08-17T12:57:05Z","links":{"resolver":"https://pith.science/pith/QUIG7IBNZ5L7LHDQPAPJW56QZJ","bundle":"https://pith.science/pith/QUIG7IBNZ5L7LHDQPAPJW56QZJ/bundle.json","state":"https://pith.science/pith/QUIG7IBNZ5L7LHDQPAPJW56QZJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QUIG7IBNZ5L7LHDQPAPJW56QZJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QUIG7IBNZ5L7LHDQPAPJW56QZJ","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":"10d745539858dccf1e574f3415acded6e1f342cb8c23b364e2ac35c945359230","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2025-08-14T09:28:49Z","title_canon_sha256":"07f047737b6a7b085a831a61102da06622621c40b8838f17ccf0bd2d37b712a0"},"schema_version":"1.0","source":{"id":"2508.10478","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.10478","created_at":"2026-07-05T11:53:57Z"},{"alias_kind":"arxiv_version","alias_value":"2508.10478v1","created_at":"2026-07-05T11:53:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.10478","created_at":"2026-07-05T11:53:57Z"},{"alias_kind":"pith_short_12","alias_value":"QUIG7IBNZ5L7","created_at":"2026-07-05T11:53:57Z"},{"alias_kind":"pith_short_16","alias_value":"QUIG7IBNZ5L7LHDQ","created_at":"2026-07-05T11:53:57Z"},{"alias_kind":"pith_short_8","alias_value":"QUIG7IBN","created_at":"2026-07-05T11:53:57Z"}],"graph_snapshots":[{"event_id":"sha256:16d31f3a9ee7e5d11387fda013db8109fb70669adae6ded0058243aa50f3f531","target":"graph","created_at":"2026-07-05T11:53:57Z","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/2508.10478/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative models powered by Large Language Models (LLMs) are emerging as a unified solution for powering both recommendation and search tasks. A key design choice in these models is how to represent items, traditionally through unique identifiers (IDs) and more recently with Semantic IDs composed of discrete codes, obtained from embeddings. While task-specific embedding models can improve performance for individual tasks, they may not generalize well in a joint setting. In this paper, we explore how to construct Semantic IDs that perform well both in search and recommendation when using a uni","authors_text":"Alexandre Tamborrino, Ali Vardasbi, Edoardo D'Amico, Enrico Palumbo, Francesco Fabbri, Gustavo Penha, Hugues Bouchard, Marco De Nadai, Max Lefarov, Shawn Lin, Timothy Heath","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2025-08-14T09:28:49Z","title":"Semantic IDs for Joint Generative Search and Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.10478","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:f33bf98f9d1f15a27fa6db3a64503824faae76484ed173ce201748387b28f5d9","target":"record","created_at":"2026-07-05T11:53:57Z","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":"10d745539858dccf1e574f3415acded6e1f342cb8c23b364e2ac35c945359230","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2025-08-14T09:28:49Z","title_canon_sha256":"07f047737b6a7b085a831a61102da06622621c40b8838f17ccf0bd2d37b712a0"},"schema_version":"1.0","source":{"id":"2508.10478","kind":"arxiv","version":1}},"canonical_sha256":"85106fa02dcf57f59c70781e9b77d0ca789998ca371bd7268935066996e9613d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"85106fa02dcf57f59c70781e9b77d0ca789998ca371bd7268935066996e9613d","first_computed_at":"2026-07-05T11:53:57.257701Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:53:57.257701Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hhJFRM4Eee+WU37/+52LF57XWHC1uYOnkngCowJ5J++04MHetR1ikX7oNlNp75IfQEeme5jr9Su7j7tgPhKlCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:53:57.258114Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.10478","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f33bf98f9d1f15a27fa6db3a64503824faae76484ed173ce201748387b28f5d9","sha256:16d31f3a9ee7e5d11387fda013db8109fb70669adae6ded0058243aa50f3f531"],"state_sha256":"226aa680dc6896668d4b1c67a3fcb93563ef348d6927a5af438b2f08b75af815"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f7X3FzYJ5v81RF8b69sDGn+OFZWFQ942ihJ38uXKs/5m2cpNPQ4GjLyYdav3YxLMzNvZFGZCFaD4AOIyi42PCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T12:57:05.727975Z","bundle_sha256":"bbe60dfd817d90fb80f88adfb6ef30e0cc611eae213a24b175cce6a8aec0f99f"}}