{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:UGULA76ASNGEN5Z3VBDRY36XVL","short_pith_number":"pith:UGULA76A","canonical_record":{"source":{"id":"2408.07294","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-08-02T22:33:59Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b33cb2fb38543408099d230ba608a0a88535f3c802aff6499887b45a31d18661","abstract_canon_sha256":"8262f4977fa7c548159c3c5fa5689dfdfd2d10fafb0902a9f4027e9ad615b9f7"},"schema_version":"1.0"},"canonical_sha256":"a1a8b07fc0934c46f73ba8471c6fd7aae9cefd213e0268368a11e75747f16006","source":{"kind":"arxiv","id":"2408.07294","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.07294","created_at":"2026-07-05T08:55:13Z"},{"alias_kind":"arxiv_version","alias_value":"2408.07294v1","created_at":"2026-07-05T08:55:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.07294","created_at":"2026-07-05T08:55:13Z"},{"alias_kind":"pith_short_12","alias_value":"UGULA76ASNGE","created_at":"2026-07-05T08:55:13Z"},{"alias_kind":"pith_short_16","alias_value":"UGULA76ASNGEN5Z3","created_at":"2026-07-05T08:55:13Z"},{"alias_kind":"pith_short_8","alias_value":"UGULA76A","created_at":"2026-07-05T08:55:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:UGULA76ASNGEN5Z3VBDRY36XVL","target":"record","payload":{"canonical_record":{"source":{"id":"2408.07294","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-08-02T22:33:59Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b33cb2fb38543408099d230ba608a0a88535f3c802aff6499887b45a31d18661","abstract_canon_sha256":"8262f4977fa7c548159c3c5fa5689dfdfd2d10fafb0902a9f4027e9ad615b9f7"},"schema_version":"1.0"},"canonical_sha256":"a1a8b07fc0934c46f73ba8471c6fd7aae9cefd213e0268368a11e75747f16006","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:55:13.471441Z","signature_b64":"80MLnO1Ba6u8GzHhLzlKHJxRSDEAhwz+ZsP9n8w2734E7aYmZl6NPUifcHBPfgPXGAYFoame/0zeIdWpGcWaAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a1a8b07fc0934c46f73ba8471c6fd7aae9cefd213e0268368a11e75747f16006","last_reissued_at":"2026-07-05T08:55:13.471029Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:55:13.471029Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.07294","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":"2026-07-05T08:55:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zMXGlujr4EiqYHzc3J4R+B++YO6AC7CSdq/ho/vQ5paw7Rnfv/SuxwZgKlm8FAyi7jNsRtpg+9NRcVoy9fQ2Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T14:38:22.530248Z"},"content_sha256":"e70da9fedb8c79215e25832093348a2161fd28c1b0fa83c4a1b99933a883848b","schema_version":"1.0","event_id":"sha256:e70da9fedb8c79215e25832093348a2161fd28c1b0fa83c4a1b99933a883848b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:UGULA76ASNGEN5Z3VBDRY36XVL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SumRecom: A Personalized Summarization Approach by Learning from Users' Feedback","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.IR","authors_text":"Mehrdad Zakershahrak, Samira Ghodratnama","submitted_at":"2024-08-02T22:33:59Z","abstract_excerpt":"Existing multi-document summarization approaches produce a uniform summary for all users without considering individuals' interests, which is highly impractical. Making a user-specific summary is a challenging task as it requires: i) acquiring relevant information about a user; ii) aggregating and integrating the information into a user-model; and iii) utilizing the provided information in making the personalized summary. Therefore, in this paper, we propose a solution to a substantial and challenging problem in summarization, i.e., recommending a summary for a specific user. The proposed appr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.07294","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/2408.07294/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":"2026-07-05T08:55:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S19VIM+i3x5v0lLs6j6EOYpKTeiSO5ePOftMp+ODeSTfzKKLVOhhoeShFWRPhOZ6hIw7j48EK8sSWzXXClfOCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T14:38:22.530896Z"},"content_sha256":"447d0d8a85126b59cab118d2bd5738f1dc30381c1d78a045c1c8463bb27c176c","schema_version":"1.0","event_id":"sha256:447d0d8a85126b59cab118d2bd5738f1dc30381c1d78a045c1c8463bb27c176c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UGULA76ASNGEN5Z3VBDRY36XVL/bundle.json","state_url":"https://pith.science/pith/UGULA76ASNGEN5Z3VBDRY36XVL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UGULA76ASNGEN5Z3VBDRY36XVL/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":"2026-07-05T14:38:22Z","links":{"resolver":"https://pith.science/pith/UGULA76ASNGEN5Z3VBDRY36XVL","bundle":"https://pith.science/pith/UGULA76ASNGEN5Z3VBDRY36XVL/bundle.json","state":"https://pith.science/pith/UGULA76ASNGEN5Z3VBDRY36XVL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UGULA76ASNGEN5Z3VBDRY36XVL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UGULA76ASNGEN5Z3VBDRY36XVL","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":"8262f4977fa7c548159c3c5fa5689dfdfd2d10fafb0902a9f4027e9ad615b9f7","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-08-02T22:33:59Z","title_canon_sha256":"b33cb2fb38543408099d230ba608a0a88535f3c802aff6499887b45a31d18661"},"schema_version":"1.0","source":{"id":"2408.07294","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.07294","created_at":"2026-07-05T08:55:13Z"},{"alias_kind":"arxiv_version","alias_value":"2408.07294v1","created_at":"2026-07-05T08:55:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.07294","created_at":"2026-07-05T08:55:13Z"},{"alias_kind":"pith_short_12","alias_value":"UGULA76ASNGE","created_at":"2026-07-05T08:55:13Z"},{"alias_kind":"pith_short_16","alias_value":"UGULA76ASNGEN5Z3","created_at":"2026-07-05T08:55:13Z"},{"alias_kind":"pith_short_8","alias_value":"UGULA76A","created_at":"2026-07-05T08:55:13Z"}],"graph_snapshots":[{"event_id":"sha256:447d0d8a85126b59cab118d2bd5738f1dc30381c1d78a045c1c8463bb27c176c","target":"graph","created_at":"2026-07-05T08:55:13Z","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/2408.07294/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing multi-document summarization approaches produce a uniform summary for all users without considering individuals' interests, which is highly impractical. Making a user-specific summary is a challenging task as it requires: i) acquiring relevant information about a user; ii) aggregating and integrating the information into a user-model; and iii) utilizing the provided information in making the personalized summary. Therefore, in this paper, we propose a solution to a substantial and challenging problem in summarization, i.e., recommending a summary for a specific user. The proposed appr","authors_text":"Mehrdad Zakershahrak, Samira Ghodratnama","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-08-02T22:33:59Z","title":"SumRecom: A Personalized Summarization Approach by Learning from Users' Feedback"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.07294","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:e70da9fedb8c79215e25832093348a2161fd28c1b0fa83c4a1b99933a883848b","target":"record","created_at":"2026-07-05T08:55:13Z","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":"8262f4977fa7c548159c3c5fa5689dfdfd2d10fafb0902a9f4027e9ad615b9f7","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-08-02T22:33:59Z","title_canon_sha256":"b33cb2fb38543408099d230ba608a0a88535f3c802aff6499887b45a31d18661"},"schema_version":"1.0","source":{"id":"2408.07294","kind":"arxiv","version":1}},"canonical_sha256":"a1a8b07fc0934c46f73ba8471c6fd7aae9cefd213e0268368a11e75747f16006","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a1a8b07fc0934c46f73ba8471c6fd7aae9cefd213e0268368a11e75747f16006","first_computed_at":"2026-07-05T08:55:13.471029Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:55:13.471029Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"80MLnO1Ba6u8GzHhLzlKHJxRSDEAhwz+ZsP9n8w2734E7aYmZl6NPUifcHBPfgPXGAYFoame/0zeIdWpGcWaAw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:55:13.471441Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.07294","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e70da9fedb8c79215e25832093348a2161fd28c1b0fa83c4a1b99933a883848b","sha256:447d0d8a85126b59cab118d2bd5738f1dc30381c1d78a045c1c8463bb27c176c"],"state_sha256":"a2d2335544f456f5a3f53c081f426c15d4df3dfd6566636e52ee177da15072fb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5X4Wsjnqf5v3p3fMGRXfDS6zC801a23L21WSL5OjUfoQRHTtV8G4pnfG+u3Sz0ktZwo0JodDz4A1kGjbHCnaCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T14:38:22.535588Z","bundle_sha256":"2e567f9cff5324d740509b7d78276ddde7355e5e2099d928a1685aeac23b56f0"}}