{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UIKRWFQCCBPPIRCWDEST7MWVIV","short_pith_number":"pith:UIKRWFQC","canonical_record":{"source":{"id":"2606.21097","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-19T04:56:08Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"9b43a6c66f9fae20d08832895d31c8a09eec53ba219ad39e0aef2ef946875d1f","abstract_canon_sha256":"5c62ea7b249ee124942b1c18311753f6e9d641f6bd9c14ec0c7b619fab64a751"},"schema_version":"1.0"},"canonical_sha256":"a2151b1602105ef4445619253fb2d5456c6ad6fd2adde04fff5c15c440181c8b","source":{"kind":"arxiv","id":"2606.21097","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.21097","created_at":"2026-06-23T01:12:29Z"},{"alias_kind":"arxiv_version","alias_value":"2606.21097v1","created_at":"2026-06-23T01:12:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.21097","created_at":"2026-06-23T01:12:29Z"},{"alias_kind":"pith_short_12","alias_value":"UIKRWFQCCBPP","created_at":"2026-06-23T01:12:29Z"},{"alias_kind":"pith_short_16","alias_value":"UIKRWFQCCBPPIRCW","created_at":"2026-06-23T01:12:29Z"},{"alias_kind":"pith_short_8","alias_value":"UIKRWFQC","created_at":"2026-06-23T01:12:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UIKRWFQCCBPPIRCWDEST7MWVIV","target":"record","payload":{"canonical_record":{"source":{"id":"2606.21097","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-19T04:56:08Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"9b43a6c66f9fae20d08832895d31c8a09eec53ba219ad39e0aef2ef946875d1f","abstract_canon_sha256":"5c62ea7b249ee124942b1c18311753f6e9d641f6bd9c14ec0c7b619fab64a751"},"schema_version":"1.0"},"canonical_sha256":"a2151b1602105ef4445619253fb2d5456c6ad6fd2adde04fff5c15c440181c8b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T01:12:29.825343Z","signature_b64":"fixvxgaSllt3eXm/4hkuSysKts0JK06ilJo9hEIDdS3DIaUgH/6Kb+wNiM+SKfvg5rbwqRoLPyySPUUIx3CAAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a2151b1602105ef4445619253fb2d5456c6ad6fd2adde04fff5c15c440181c8b","last_reissued_at":"2026-06-23T01:12:29.824882Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T01:12:29.824882Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.21097","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":"2026-06-23T01:12:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZEuneyOm63zG2wPWApckHpxtX6lRfE+whsdJCfa3slJUCuLhe0d8W/IKp35noh1mZy8/L4Ems3MLEB4GKuy7AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T17:28:15.326759Z"},"content_sha256":"427dbe8aa07c3df3a0e724bbd1e140df7cb5fbde4c5cf16240571fc1ff24f93c","schema_version":"1.0","event_id":"sha256:427dbe8aa07c3df3a0e724bbd1e140df7cb5fbde4c5cf16240571fc1ff24f93c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UIKRWFQCCBPPIRCWDEST7MWVIV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GRAG: Generic Response-Augmented Generation Framework for Personalized Conversational Systems","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Christopher T. Symons, Junfeng Liu, Ranga Raju Vatsavai","submitted_at":"2026-06-19T04:56:08Z","abstract_excerpt":"Deploying highly capable personalized conversational agents in resource-constrained or privacy-sensitive environments remains a significant challenge. We identify a fundamental bottleneck in the existing approaches: current training paradigms treat personalization and grounding as a single monolithic learning problem. Under these paradigms, language models are forced to simultaneously address what to say (content grounding) and how to say it in a user-specific way (personalization), which introduces significant computational and optimization challenges. Consequently, contextual grounding is of"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.21097","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/2606.21097/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":"2026-06-23T01:12:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"siio9V+Vs/Ht+/lw51FKRmUQ3pb/+ArQpVdDfH3xPuTVAGhaFvODdKK5/WejGjKU4cE+sFJ1xQip4qyuPP6mBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T17:28:15.327719Z"},"content_sha256":"cc761a3f5ac075240e9790362f205cbf0250e1a966f9f647bcc6158a57117c1b","schema_version":"1.0","event_id":"sha256:cc761a3f5ac075240e9790362f205cbf0250e1a966f9f647bcc6158a57117c1b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UIKRWFQCCBPPIRCWDEST7MWVIV/bundle.json","state_url":"https://pith.science/pith/UIKRWFQCCBPPIRCWDEST7MWVIV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UIKRWFQCCBPPIRCWDEST7MWVIV/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":"2026-08-08T17:28:15Z","links":{"resolver":"https://pith.science/pith/UIKRWFQCCBPPIRCWDEST7MWVIV","bundle":"https://pith.science/pith/UIKRWFQCCBPPIRCWDEST7MWVIV/bundle.json","state":"https://pith.science/pith/UIKRWFQCCBPPIRCWDEST7MWVIV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UIKRWFQCCBPPIRCWDEST7MWVIV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UIKRWFQCCBPPIRCWDEST7MWVIV","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":"5c62ea7b249ee124942b1c18311753f6e9d641f6bd9c14ec0c7b619fab64a751","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-19T04:56:08Z","title_canon_sha256":"9b43a6c66f9fae20d08832895d31c8a09eec53ba219ad39e0aef2ef946875d1f"},"schema_version":"1.0","source":{"id":"2606.21097","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.21097","created_at":"2026-06-23T01:12:29Z"},{"alias_kind":"arxiv_version","alias_value":"2606.21097v1","created_at":"2026-06-23T01:12:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.21097","created_at":"2026-06-23T01:12:29Z"},{"alias_kind":"pith_short_12","alias_value":"UIKRWFQCCBPP","created_at":"2026-06-23T01:12:29Z"},{"alias_kind":"pith_short_16","alias_value":"UIKRWFQCCBPPIRCW","created_at":"2026-06-23T01:12:29Z"},{"alias_kind":"pith_short_8","alias_value":"UIKRWFQC","created_at":"2026-06-23T01:12:29Z"}],"graph_snapshots":[{"event_id":"sha256:cc761a3f5ac075240e9790362f205cbf0250e1a966f9f647bcc6158a57117c1b","target":"graph","created_at":"2026-06-23T01:12:29Z","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/2606.21097/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deploying highly capable personalized conversational agents in resource-constrained or privacy-sensitive environments remains a significant challenge. We identify a fundamental bottleneck in the existing approaches: current training paradigms treat personalization and grounding as a single monolithic learning problem. Under these paradigms, language models are forced to simultaneously address what to say (content grounding) and how to say it in a user-specific way (personalization), which introduces significant computational and optimization challenges. Consequently, contextual grounding is of","authors_text":"Christopher T. Symons, Junfeng Liu, Ranga Raju Vatsavai","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-19T04:56:08Z","title":"GRAG: Generic Response-Augmented Generation Framework for Personalized Conversational Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.21097","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":"sha256:427dbe8aa07c3df3a0e724bbd1e140df7cb5fbde4c5cf16240571fc1ff24f93c","target":"record","created_at":"2026-06-23T01:12:29Z","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":"5c62ea7b249ee124942b1c18311753f6e9d641f6bd9c14ec0c7b619fab64a751","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-19T04:56:08Z","title_canon_sha256":"9b43a6c66f9fae20d08832895d31c8a09eec53ba219ad39e0aef2ef946875d1f"},"schema_version":"1.0","source":{"id":"2606.21097","kind":"arxiv","version":1}},"canonical_sha256":"a2151b1602105ef4445619253fb2d5456c6ad6fd2adde04fff5c15c440181c8b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a2151b1602105ef4445619253fb2d5456c6ad6fd2adde04fff5c15c440181c8b","first_computed_at":"2026-06-23T01:12:29.824882Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T01:12:29.824882Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fixvxgaSllt3eXm/4hkuSysKts0JK06ilJo9hEIDdS3DIaUgH/6Kb+wNiM+SKfvg5rbwqRoLPyySPUUIx3CAAg==","signature_status":"signed_v1","signed_at":"2026-06-23T01:12:29.825343Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.21097","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:427dbe8aa07c3df3a0e724bbd1e140df7cb5fbde4c5cf16240571fc1ff24f93c","sha256:cc761a3f5ac075240e9790362f205cbf0250e1a966f9f647bcc6158a57117c1b"],"state_sha256":"96cee1a5cc2d8d7df771b7d77b24563e399f10d94db5ac83ebd00e5c142b5b53"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dkbb10Vj6W9AhawrnyjZsbef4ilgsRROsgJzWIiJdZ2bnME3wuIww0K6PSH54zVcWt3BBAz+ZLq/SAzTcnMzBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T17:28:15.332924Z","bundle_sha256":"6c61c625404d306d62e19c79afde7c5e19e83f8b3b646c609c239dfd87e1fb75"}}