{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:IS7WIXWOKVEKLEVWPX4UM55Y6U","short_pith_number":"pith:IS7WIXWO","canonical_record":{"source":{"id":"2412.12445","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-17T01:15:40Z","cross_cats_sorted":[],"title_canon_sha256":"94c27a572f22f2cfe71ce35a44c1533134c5576352e6c5f39acae631312e0f0a","abstract_canon_sha256":"ee17dcac5cbac15f4854f0596c7af7c2a4a975fbb8bdc02325836333655b97b8"},"schema_version":"1.0"},"canonical_sha256":"44bf645ece5548a592b67df94677b8f52ee3194248620c4ba7daa3a66ff9ce53","source":{"kind":"arxiv","id":"2412.12445","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.12445","created_at":"2026-07-05T09:50:57Z"},{"alias_kind":"arxiv_version","alias_value":"2412.12445v2","created_at":"2026-07-05T09:50:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.12445","created_at":"2026-07-05T09:50:57Z"},{"alias_kind":"pith_short_12","alias_value":"IS7WIXWOKVEK","created_at":"2026-07-05T09:50:57Z"},{"alias_kind":"pith_short_16","alias_value":"IS7WIXWOKVEKLEVW","created_at":"2026-07-05T09:50:57Z"},{"alias_kind":"pith_short_8","alias_value":"IS7WIXWO","created_at":"2026-07-05T09:50:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:IS7WIXWOKVEKLEVWPX4UM55Y6U","target":"record","payload":{"canonical_record":{"source":{"id":"2412.12445","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-17T01:15:40Z","cross_cats_sorted":[],"title_canon_sha256":"94c27a572f22f2cfe71ce35a44c1533134c5576352e6c5f39acae631312e0f0a","abstract_canon_sha256":"ee17dcac5cbac15f4854f0596c7af7c2a4a975fbb8bdc02325836333655b97b8"},"schema_version":"1.0"},"canonical_sha256":"44bf645ece5548a592b67df94677b8f52ee3194248620c4ba7daa3a66ff9ce53","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:50:57.125690Z","signature_b64":"aC+9yh68U+BIOWtAEtPTUbsgrSW+bLDWSjlWzz9DOxkgJchlhabFXpYHx17AXw+BwcYlYCqm9TyE5iLtMlb4Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"44bf645ece5548a592b67df94677b8f52ee3194248620c4ba7daa3a66ff9ce53","last_reissued_at":"2026-07-05T09:50:57.125121Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:50:57.125121Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.12445","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:50:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rPWSybW9dwqDZx35IUvf0sgHVU+gjeI1lJqZt3Y+DRf0w3CdjeVuDZ+yUBNaEi1V20L1PwimKW/C8dY6S4vtBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T07:45:41.882011Z"},"content_sha256":"06b74746c5a69c7d15632038115db4ef9f7d874cad5d85265d0eaa498b6d0d9b","schema_version":"1.0","event_id":"sha256:06b74746c5a69c7d15632038115db4ef9f7d874cad5d85265d0eaa498b6d0d9b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:IS7WIXWOKVEKLEVWPX4UM55Y6U","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Angela Lau, Lifu Huang, Ryan Rossi, Tong Sun, Varun Manjunatha, Yuanting Pan, Zichao Wang, Zihao Lin","submitted_at":"2024-12-17T01:15:40Z","abstract_excerpt":"Suggested questions (SQs) provide an effective initial interface for users to engage with their documents in AI-powered reading applications. In practical reading sessions, users have diverse backgrounds and reading goals, yet current SQ features typically ignore such user information, resulting in homogeneous or ineffective questions. We introduce a pipeline that generates personalized SQs by incorporating reader profiles (professions and reading goals) and demonstrate its utility in two ways: 1) as an improved SQ generation pipeline that produces higher quality and more diverse questions com"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.12445","kind":"arxiv","version":2},"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/2412.12445/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":"2026-07-05T09:50:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fU+Z/uyA/8eB2EOY7dbP+i9M0EyGJm7iyAAbjWhCr+bjjNkz2kdIqlw4JkfRA8UgGJMj6Bop1qUTdCCAdh5aAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T07:45:41.882658Z"},"content_sha256":"57268593579362456778f444f950c0caf3fd8b3874b001ecc49dc0d2c400be4a","schema_version":"1.0","event_id":"sha256:57268593579362456778f444f950c0caf3fd8b3874b001ecc49dc0d2c400be4a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IS7WIXWOKVEKLEVWPX4UM55Y6U/bundle.json","state_url":"https://pith.science/pith/IS7WIXWOKVEKLEVWPX4UM55Y6U/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IS7WIXWOKVEKLEVWPX4UM55Y6U/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":"2026-07-08T07:45:41Z","links":{"resolver":"https://pith.science/pith/IS7WIXWOKVEKLEVWPX4UM55Y6U","bundle":"https://pith.science/pith/IS7WIXWOKVEKLEVWPX4UM55Y6U/bundle.json","state":"https://pith.science/pith/IS7WIXWOKVEKLEVWPX4UM55Y6U/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IS7WIXWOKVEKLEVWPX4UM55Y6U/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IS7WIXWOKVEKLEVWPX4UM55Y6U","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":"ee17dcac5cbac15f4854f0596c7af7c2a4a975fbb8bdc02325836333655b97b8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-17T01:15:40Z","title_canon_sha256":"94c27a572f22f2cfe71ce35a44c1533134c5576352e6c5f39acae631312e0f0a"},"schema_version":"1.0","source":{"id":"2412.12445","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.12445","created_at":"2026-07-05T09:50:57Z"},{"alias_kind":"arxiv_version","alias_value":"2412.12445v2","created_at":"2026-07-05T09:50:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.12445","created_at":"2026-07-05T09:50:57Z"},{"alias_kind":"pith_short_12","alias_value":"IS7WIXWOKVEK","created_at":"2026-07-05T09:50:57Z"},{"alias_kind":"pith_short_16","alias_value":"IS7WIXWOKVEKLEVW","created_at":"2026-07-05T09:50:57Z"},{"alias_kind":"pith_short_8","alias_value":"IS7WIXWO","created_at":"2026-07-05T09:50:57Z"}],"graph_snapshots":[{"event_id":"sha256:57268593579362456778f444f950c0caf3fd8b3874b001ecc49dc0d2c400be4a","target":"graph","created_at":"2026-07-05T09:50:57Z","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/2412.12445/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Suggested questions (SQs) provide an effective initial interface for users to engage with their documents in AI-powered reading applications. In practical reading sessions, users have diverse backgrounds and reading goals, yet current SQ features typically ignore such user information, resulting in homogeneous or ineffective questions. We introduce a pipeline that generates personalized SQs by incorporating reader profiles (professions and reading goals) and demonstrate its utility in two ways: 1) as an improved SQ generation pipeline that produces higher quality and more diverse questions com","authors_text":"Angela Lau, Lifu Huang, Ryan Rossi, Tong Sun, Varun Manjunatha, Yuanting Pan, Zichao Wang, Zihao Lin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-17T01:15:40Z","title":"Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.12445","kind":"arxiv","version":2},"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":"sha256:06b74746c5a69c7d15632038115db4ef9f7d874cad5d85265d0eaa498b6d0d9b","target":"record","created_at":"2026-07-05T09:50:57Z","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":"ee17dcac5cbac15f4854f0596c7af7c2a4a975fbb8bdc02325836333655b97b8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-17T01:15:40Z","title_canon_sha256":"94c27a572f22f2cfe71ce35a44c1533134c5576352e6c5f39acae631312e0f0a"},"schema_version":"1.0","source":{"id":"2412.12445","kind":"arxiv","version":2}},"canonical_sha256":"44bf645ece5548a592b67df94677b8f52ee3194248620c4ba7daa3a66ff9ce53","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"44bf645ece5548a592b67df94677b8f52ee3194248620c4ba7daa3a66ff9ce53","first_computed_at":"2026-07-05T09:50:57.125121Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:50:57.125121Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aC+9yh68U+BIOWtAEtPTUbsgrSW+bLDWSjlWzz9DOxkgJchlhabFXpYHx17AXw+BwcYlYCqm9TyE5iLtMlb4Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:50:57.125690Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.12445","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:06b74746c5a69c7d15632038115db4ef9f7d874cad5d85265d0eaa498b6d0d9b","sha256:57268593579362456778f444f950c0caf3fd8b3874b001ecc49dc0d2c400be4a"],"state_sha256":"bce69e7c6ccefe37fc880e8572823a632da74f30f13600b246edd105e9dcdcee"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I0/Y0sapfj3D95usAyet2dr5/heU70X5GNUDM7me2j+pULB2VmjAj8Hlah9AXKVB7VbbZMHAwMh63ZJjDPtdAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T07:45:41.885975Z","bundle_sha256":"2da81eb1a45107226a1499664aa5750b3ad6c5bbd56abee59c4e125cc4f59095"}}