{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:CUI7BGGIX3XKPSKKT5CHFZHRUK","short_pith_number":"pith:CUI7BGGI","canonical_record":{"source":{"id":"2410.22182","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2024-10-29T16:19:08Z","cross_cats_sorted":[],"title_canon_sha256":"432adc046fa04e511821cef4da6a43b5e2e42fe89093fa67056af020fe2c176d","abstract_canon_sha256":"907378f3061b20446897ef7c630a050cf7c1ab3e6b7dc01f8b4d83937f5a3dba"},"schema_version":"1.0"},"canonical_sha256":"1511f098c8beeea7c94a9f4472e4f1a2a53ccc1c8fadd6d95c58ca8933eafd82","source":{"kind":"arxiv","id":"2410.22182","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.22182","created_at":"2026-07-05T09:28:05Z"},{"alias_kind":"arxiv_version","alias_value":"2410.22182v1","created_at":"2026-07-05T09:28:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.22182","created_at":"2026-07-05T09:28:05Z"},{"alias_kind":"pith_short_12","alias_value":"CUI7BGGIX3XK","created_at":"2026-07-05T09:28:05Z"},{"alias_kind":"pith_short_16","alias_value":"CUI7BGGIX3XKPSKK","created_at":"2026-07-05T09:28:05Z"},{"alias_kind":"pith_short_8","alias_value":"CUI7BGGI","created_at":"2026-07-05T09:28:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:CUI7BGGIX3XKPSKKT5CHFZHRUK","target":"record","payload":{"canonical_record":{"source":{"id":"2410.22182","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2024-10-29T16:19:08Z","cross_cats_sorted":[],"title_canon_sha256":"432adc046fa04e511821cef4da6a43b5e2e42fe89093fa67056af020fe2c176d","abstract_canon_sha256":"907378f3061b20446897ef7c630a050cf7c1ab3e6b7dc01f8b4d83937f5a3dba"},"schema_version":"1.0"},"canonical_sha256":"1511f098c8beeea7c94a9f4472e4f1a2a53ccc1c8fadd6d95c58ca8933eafd82","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:28:05.202424Z","signature_b64":"bkNN6SvOgnKC87ujCK0p0GVQ8UNn5b9Ui0qqM1QGrs1Y9J7LP/5PZYTXFfyemXB/l+u8ZogLP+Geg6kcSX6nCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1511f098c8beeea7c94a9f4472e4f1a2a53ccc1c8fadd6d95c58ca8933eafd82","last_reissued_at":"2026-07-05T09:28:05.201944Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:28:05.201944Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.22182","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":"2026-07-05T09:28:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zi5QKsTr3cXz9YUqrNK4GCvxhxS8ckAjGNwRCWVsifYdCgnQRQmLSnUKQNVcauti/69vqjWKYn9o9PmxuH6/Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T18:20:21.696414Z"},"content_sha256":"b40eaa20124c9f50d46c59458e4aad57b73171955c860e57f3ed0a6770d80024","schema_version":"1.0","event_id":"sha256:b40eaa20124c9f50d46c59458e4aad57b73171955c860e57f3ed0a6770d80024"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:CUI7BGGIX3XKPSKKT5CHFZHRUK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Synthetic Data Generation with Large Language Models for Personalized Community Question Answering","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Alessandro Raganato, Gabriella Pasi, Marco Braga, Pranav Kasela","submitted_at":"2024-10-29T16:19:08Z","abstract_excerpt":"Personalization in Information Retrieval (IR) is a topic studied by the research community since a long time. However, there is still a lack of datasets to conduct large-scale evaluations of personalized IR; this is mainly due to the fact that collecting and curating high-quality user-related information requires significant costs and time investment. Furthermore, the creation of datasets for Personalized IR (PIR) tasks is affected by both privacy concerns and the need for accurate user-related data, which are often not publicly available. Recently, researchers have started to explore the use "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.22182","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/2410.22182/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":"2026-07-05T09:28:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Iilrn4VAmNsUDknBBiuUXdwJKDxW2YMgVh9yD/PBPyX5qIxxREelv43zi0X3UkCbpniiumJUSYXinj5RrOIJAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T18:20:21.696930Z"},"content_sha256":"58fa1a5b5506ebb2a72a03fd620d3df40269bc8ec0b3fff9e81f8003e861deae","schema_version":"1.0","event_id":"sha256:58fa1a5b5506ebb2a72a03fd620d3df40269bc8ec0b3fff9e81f8003e861deae"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CUI7BGGIX3XKPSKKT5CHFZHRUK/bundle.json","state_url":"https://pith.science/pith/CUI7BGGIX3XKPSKKT5CHFZHRUK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CUI7BGGIX3XKPSKKT5CHFZHRUK/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":"2026-08-08T18:20:21Z","links":{"resolver":"https://pith.science/pith/CUI7BGGIX3XKPSKKT5CHFZHRUK","bundle":"https://pith.science/pith/CUI7BGGIX3XKPSKKT5CHFZHRUK/bundle.json","state":"https://pith.science/pith/CUI7BGGIX3XKPSKKT5CHFZHRUK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CUI7BGGIX3XKPSKKT5CHFZHRUK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CUI7BGGIX3XKPSKKT5CHFZHRUK","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":"907378f3061b20446897ef7c630a050cf7c1ab3e6b7dc01f8b4d83937f5a3dba","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2024-10-29T16:19:08Z","title_canon_sha256":"432adc046fa04e511821cef4da6a43b5e2e42fe89093fa67056af020fe2c176d"},"schema_version":"1.0","source":{"id":"2410.22182","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.22182","created_at":"2026-07-05T09:28:05Z"},{"alias_kind":"arxiv_version","alias_value":"2410.22182v1","created_at":"2026-07-05T09:28:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.22182","created_at":"2026-07-05T09:28:05Z"},{"alias_kind":"pith_short_12","alias_value":"CUI7BGGIX3XK","created_at":"2026-07-05T09:28:05Z"},{"alias_kind":"pith_short_16","alias_value":"CUI7BGGIX3XKPSKK","created_at":"2026-07-05T09:28:05Z"},{"alias_kind":"pith_short_8","alias_value":"CUI7BGGI","created_at":"2026-07-05T09:28:05Z"}],"graph_snapshots":[{"event_id":"sha256:58fa1a5b5506ebb2a72a03fd620d3df40269bc8ec0b3fff9e81f8003e861deae","target":"graph","created_at":"2026-07-05T09:28:05Z","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/2410.22182/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Personalization in Information Retrieval (IR) is a topic studied by the research community since a long time. However, there is still a lack of datasets to conduct large-scale evaluations of personalized IR; this is mainly due to the fact that collecting and curating high-quality user-related information requires significant costs and time investment. Furthermore, the creation of datasets for Personalized IR (PIR) tasks is affected by both privacy concerns and the need for accurate user-related data, which are often not publicly available. Recently, researchers have started to explore the use ","authors_text":"Alessandro Raganato, Gabriella Pasi, Marco Braga, Pranav Kasela","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2024-10-29T16:19:08Z","title":"Synthetic Data Generation with Large Language Models for Personalized Community Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.22182","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:b40eaa20124c9f50d46c59458e4aad57b73171955c860e57f3ed0a6770d80024","target":"record","created_at":"2026-07-05T09:28:05Z","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":"907378f3061b20446897ef7c630a050cf7c1ab3e6b7dc01f8b4d83937f5a3dba","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2024-10-29T16:19:08Z","title_canon_sha256":"432adc046fa04e511821cef4da6a43b5e2e42fe89093fa67056af020fe2c176d"},"schema_version":"1.0","source":{"id":"2410.22182","kind":"arxiv","version":1}},"canonical_sha256":"1511f098c8beeea7c94a9f4472e4f1a2a53ccc1c8fadd6d95c58ca8933eafd82","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1511f098c8beeea7c94a9f4472e4f1a2a53ccc1c8fadd6d95c58ca8933eafd82","first_computed_at":"2026-07-05T09:28:05.201944Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:28:05.201944Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bkNN6SvOgnKC87ujCK0p0GVQ8UNn5b9Ui0qqM1QGrs1Y9J7LP/5PZYTXFfyemXB/l+u8ZogLP+Geg6kcSX6nCw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:28:05.202424Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.22182","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b40eaa20124c9f50d46c59458e4aad57b73171955c860e57f3ed0a6770d80024","sha256:58fa1a5b5506ebb2a72a03fd620d3df40269bc8ec0b3fff9e81f8003e861deae"],"state_sha256":"9d595fc5b526e1ed51c69cf9ddf8a2a00b84271f8b217236d6897c0284a51103"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uRBkfSHGp2QLd1CkQcuFBXs6O+UiSUfrNlfnMrTh+xUkDhW/wPE3ktm3/yqVhfcEIb2pDk5CI5oehkQBdnRgBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T18:20:21.702486Z","bundle_sha256":"e516821fa5f404f3429d9d5c685e7163559069b0b24e8bf66121eec543f0c589"}}