{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:CBLGPKDLP2ACA6LQ3WMR3OTMPR","short_pith_number":"pith:CBLGPKDL","canonical_record":{"source":{"id":"2606.14142","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-12T06:04:05Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c543cbffe6b173cad9661293464c15127528c2fa323c0a259003c7572c1d652a","abstract_canon_sha256":"022d72326068a05a22d77c215a3cdd6f9bef206e8ef854a03c3a9d8aeb613889"},"schema_version":"1.0"},"canonical_sha256":"105667a86b7e80207970dd991dba6c7c4db3e83bcebdae52a861103dc92a0b7f","source":{"kind":"arxiv","id":"2606.14142","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.14142","created_at":"2026-08-03T01:15:15Z"},{"alias_kind":"arxiv_version","alias_value":"2606.14142v3","created_at":"2026-08-03T01:15:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.14142","created_at":"2026-08-03T01:15:15Z"},{"alias_kind":"pith_short_12","alias_value":"CBLGPKDLP2AC","created_at":"2026-08-03T01:15:15Z"},{"alias_kind":"pith_short_16","alias_value":"CBLGPKDLP2ACA6LQ","created_at":"2026-08-03T01:15:15Z"},{"alias_kind":"pith_short_8","alias_value":"CBLGPKDL","created_at":"2026-08-03T01:15:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:CBLGPKDLP2ACA6LQ3WMR3OTMPR","target":"record","payload":{"canonical_record":{"source":{"id":"2606.14142","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-12T06:04:05Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c543cbffe6b173cad9661293464c15127528c2fa323c0a259003c7572c1d652a","abstract_canon_sha256":"022d72326068a05a22d77c215a3cdd6f9bef206e8ef854a03c3a9d8aeb613889"},"schema_version":"1.0"},"canonical_sha256":"105667a86b7e80207970dd991dba6c7c4db3e83bcebdae52a861103dc92a0b7f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-03T01:15:15.567606Z","signature_b64":"s9ise/aYRt/k8adiKBmzuHf5nHfAm9b8cn9fKBs/T4EPY2zTJbafTNogj/84WnT2NFdGGdvv+VLljl79xPdRDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"105667a86b7e80207970dd991dba6c7c4db3e83bcebdae52a861103dc92a0b7f","last_reissued_at":"2026-08-03T01:15:15.566067Z","signature_status":"signed_v1","first_computed_at":"2026-08-03T01:15:15.566067Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.14142","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":"2026-08-03T01:15:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OUJkvpqfdmwcVd1ciZNinyyv80ZkvbcY1Iy6gFBEhwkNIpRMSQ/Hxyxyeynq1SR97BN6HtwxE61+RUvh79efBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T04:11:23.381124Z"},"content_sha256":"8fce2c12a689d1c15c8eacfc5e1564014f01838bb883fef8f317b3e9304f5b4c","schema_version":"1.0","event_id":"sha256:8fce2c12a689d1c15c8eacfc5e1564014f01838bb883fef8f317b3e9304f5b4c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:CBLGPKDLP2ACA6LQ3WMR3OTMPR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Implicit Reasoning for Large Language Model-based Generative Recommendation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Bhuvesh Kumar, Donald Loveland, Jundong Li, Liam Collins, Neil Shah, Yinhan He","submitted_at":"2026-06-12T06:04:05Z","abstract_excerpt":"Large Language Models (LLMs) are increasingly adopted as backbones for Generative Recommendation (GR), promising access to pretrained world knowledge. Yet reliably invoking this knowledge for GR remains poorly understood. A key obstacle is that LLM-based GR typically represents items with Semantic IDs (SIDs), disrupting LLMs' natural-language reasoning interface because these tokens are unseen by the LLM during pretraining. Existing approaches address this with expensive multi-stage pipelines that ground SIDs and elicit explicit rationales, but offer limited insight into when and why each stag"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.14142","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/2606.14142/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":"2026-08-03T01:15:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vH9d5xCb3sHHRmUdiZsGo96DYgH5V+EOUlUXusdzClE7p8vkC3CGKzKcKynz15w2kS9h8FKHqQ9psd6+0qLgDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T04:11:23.381512Z"},"content_sha256":"28e666ab5536f8a6de24915984dd6e4639f0102be7a7616634271218165f7d3c","schema_version":"1.0","event_id":"sha256:28e666ab5536f8a6de24915984dd6e4639f0102be7a7616634271218165f7d3c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CBLGPKDLP2ACA6LQ3WMR3OTMPR/bundle.json","state_url":"https://pith.science/pith/CBLGPKDLP2ACA6LQ3WMR3OTMPR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CBLGPKDLP2ACA6LQ3WMR3OTMPR/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":"2026-08-04T04:11:23Z","links":{"resolver":"https://pith.science/pith/CBLGPKDLP2ACA6LQ3WMR3OTMPR","bundle":"https://pith.science/pith/CBLGPKDLP2ACA6LQ3WMR3OTMPR/bundle.json","state":"https://pith.science/pith/CBLGPKDLP2ACA6LQ3WMR3OTMPR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CBLGPKDLP2ACA6LQ3WMR3OTMPR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:CBLGPKDLP2ACA6LQ3WMR3OTMPR","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":"022d72326068a05a22d77c215a3cdd6f9bef206e8ef854a03c3a9d8aeb613889","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-12T06:04:05Z","title_canon_sha256":"c543cbffe6b173cad9661293464c15127528c2fa323c0a259003c7572c1d652a"},"schema_version":"1.0","source":{"id":"2606.14142","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.14142","created_at":"2026-08-03T01:15:15Z"},{"alias_kind":"arxiv_version","alias_value":"2606.14142v3","created_at":"2026-08-03T01:15:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.14142","created_at":"2026-08-03T01:15:15Z"},{"alias_kind":"pith_short_12","alias_value":"CBLGPKDLP2AC","created_at":"2026-08-03T01:15:15Z"},{"alias_kind":"pith_short_16","alias_value":"CBLGPKDLP2ACA6LQ","created_at":"2026-08-03T01:15:15Z"},{"alias_kind":"pith_short_8","alias_value":"CBLGPKDL","created_at":"2026-08-03T01:15:15Z"}],"graph_snapshots":[{"event_id":"sha256:28e666ab5536f8a6de24915984dd6e4639f0102be7a7616634271218165f7d3c","target":"graph","created_at":"2026-08-03T01:15:15Z","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/2606.14142/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) are increasingly adopted as backbones for Generative Recommendation (GR), promising access to pretrained world knowledge. Yet reliably invoking this knowledge for GR remains poorly understood. A key obstacle is that LLM-based GR typically represents items with Semantic IDs (SIDs), disrupting LLMs' natural-language reasoning interface because these tokens are unseen by the LLM during pretraining. Existing approaches address this with expensive multi-stage pipelines that ground SIDs and elicit explicit rationales, but offer limited insight into when and why each stag","authors_text":"Bhuvesh Kumar, Donald Loveland, Jundong Li, Liam Collins, Neil Shah, Yinhan He","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-12T06:04:05Z","title":"Implicit Reasoning for Large Language Model-based Generative Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.14142","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":"sha256:8fce2c12a689d1c15c8eacfc5e1564014f01838bb883fef8f317b3e9304f5b4c","target":"record","created_at":"2026-08-03T01:15:15Z","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":"022d72326068a05a22d77c215a3cdd6f9bef206e8ef854a03c3a9d8aeb613889","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-12T06:04:05Z","title_canon_sha256":"c543cbffe6b173cad9661293464c15127528c2fa323c0a259003c7572c1d652a"},"schema_version":"1.0","source":{"id":"2606.14142","kind":"arxiv","version":3}},"canonical_sha256":"105667a86b7e80207970dd991dba6c7c4db3e83bcebdae52a861103dc92a0b7f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"105667a86b7e80207970dd991dba6c7c4db3e83bcebdae52a861103dc92a0b7f","first_computed_at":"2026-08-03T01:15:15.566067Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-03T01:15:15.566067Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"s9ise/aYRt/k8adiKBmzuHf5nHfAm9b8cn9fKBs/T4EPY2zTJbafTNogj/84WnT2NFdGGdvv+VLljl79xPdRDA==","signature_status":"signed_v1","signed_at":"2026-08-03T01:15:15.567606Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.14142","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8fce2c12a689d1c15c8eacfc5e1564014f01838bb883fef8f317b3e9304f5b4c","sha256:28e666ab5536f8a6de24915984dd6e4639f0102be7a7616634271218165f7d3c"],"state_sha256":"4009d23f8e27b00425bcb78b08b476748dc1cc77f059203421b3baed8056ccf6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FLmZ2S5MrKnqAz7TydQI0xWrrBWbVNn4MmHYjZn7FQsNyz+Yc6dXmAE27mW4iwi2dJF8KKeiXQRFtHA1e6MACQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T04:11:23.383961Z","bundle_sha256":"35441fb48741269bc0bb9285dc0c778369cf9f0fc7ccd53f8f1b6d2a04d5e369"}}