{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:L62WZAIEUFOTBKNV5J3Z3JLORY","short_pith_number":"pith:L62WZAIE","canonical_record":{"source":{"id":"2504.18180","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-04-25T08:55:15Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b338956a0b8ef5c487ba5c6c137afd37dc514e5e4296f991d4de348b39ffeeea","abstract_canon_sha256":"e47508cb709196c5270d42bcb135c22b07d3631273470d96ad1658d9305711cb"},"schema_version":"1.0"},"canonical_sha256":"5fb56c8104a15d30a9b5ea779da56e8e018d8e62a572379db2e6a13d2ab6aa4f","source":{"kind":"arxiv","id":"2504.18180","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.18180","created_at":"2026-07-05T10:54:03Z"},{"alias_kind":"arxiv_version","alias_value":"2504.18180v1","created_at":"2026-07-05T10:54:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.18180","created_at":"2026-07-05T10:54:03Z"},{"alias_kind":"pith_short_12","alias_value":"L62WZAIEUFOT","created_at":"2026-07-05T10:54:03Z"},{"alias_kind":"pith_short_16","alias_value":"L62WZAIEUFOTBKNV","created_at":"2026-07-05T10:54:03Z"},{"alias_kind":"pith_short_8","alias_value":"L62WZAIE","created_at":"2026-07-05T10:54:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:L62WZAIEUFOTBKNV5J3Z3JLORY","target":"record","payload":{"canonical_record":{"source":{"id":"2504.18180","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-04-25T08:55:15Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b338956a0b8ef5c487ba5c6c137afd37dc514e5e4296f991d4de348b39ffeeea","abstract_canon_sha256":"e47508cb709196c5270d42bcb135c22b07d3631273470d96ad1658d9305711cb"},"schema_version":"1.0"},"canonical_sha256":"5fb56c8104a15d30a9b5ea779da56e8e018d8e62a572379db2e6a13d2ab6aa4f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:54:03.253911Z","signature_b64":"mWJ5wDWdC8CfVLuUCKmunjJ2fmBuGRqq27w3p2i2Cp1fq97bQaFcNpmajyhRcKfKhmJY0kzDb/B+9IzcNgJbCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5fb56c8104a15d30a9b5ea779da56e8e018d8e62a572379db2e6a13d2ab6aa4f","last_reissued_at":"2026-07-05T10:54:03.253421Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:54:03.253421Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.18180","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":"2026-07-05T10:54:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4Vnz6mqgNxchgSg8I3wlSsPyeSCElO9XUuvlMVYt7Ur29i8849yMSmGoih1iDQLTrv/ofc1IexnazB8DW1Z7CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T17:02:59.217831Z"},"content_sha256":"4a835c4627066ffe475e1eb4ed957c5cf3930a893738bb8d49fab9788b376856","schema_version":"1.0","event_id":"sha256:4a835c4627066ffe475e1eb4ed957c5cf3930a893738bb8d49fab9788b376856"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:L62WZAIEUFOTBKNV5J3Z3JLORY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Aligning Language Models for Icelandic Legal Text Summarization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Hrafn Loftsson, Stef\\'an \\'Olafsson, {\\TH}\\'orir Hrafn Har{\\dh}arson","submitted_at":"2025-04-25T08:55:15Z","abstract_excerpt":"The integration of language models in the legal domain holds considerable promise for streamlining processes and improving efficiency in managing extensive workloads. However, the specialized terminology, nuanced language, and formal style of legal texts can present substantial challenges. This study examines whether preference-based training techniques, specifically Reinforcement Learning from Human Feedback and Direct Preference Optimization, can enhance models' performance in generating Icelandic legal summaries that align with domain-specific language standards and user preferences. We com"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.18180","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/2504.18180/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":"2026-07-05T10:54:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X8LGrqOTpgJx7GPcIumiB5VaDW+ya8ydUeTj/1cWqO88FST6QuyFbXfKS8EI8QyCmOlpzBzJYdpLbXCeaDz3Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T17:02:59.218379Z"},"content_sha256":"a0992423ebcb9e65c0aa78e87cd96c6fad9c901e8ca2dd49cc0f9872c0304509","schema_version":"1.0","event_id":"sha256:a0992423ebcb9e65c0aa78e87cd96c6fad9c901e8ca2dd49cc0f9872c0304509"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/L62WZAIEUFOTBKNV5J3Z3JLORY/bundle.json","state_url":"https://pith.science/pith/L62WZAIEUFOTBKNV5J3Z3JLORY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/L62WZAIEUFOTBKNV5J3Z3JLORY/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":"2026-08-20T17:02:59Z","links":{"resolver":"https://pith.science/pith/L62WZAIEUFOTBKNV5J3Z3JLORY","bundle":"https://pith.science/pith/L62WZAIEUFOTBKNV5J3Z3JLORY/bundle.json","state":"https://pith.science/pith/L62WZAIEUFOTBKNV5J3Z3JLORY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/L62WZAIEUFOTBKNV5J3Z3JLORY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:L62WZAIEUFOTBKNV5J3Z3JLORY","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":"e47508cb709196c5270d42bcb135c22b07d3631273470d96ad1658d9305711cb","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-04-25T08:55:15Z","title_canon_sha256":"b338956a0b8ef5c487ba5c6c137afd37dc514e5e4296f991d4de348b39ffeeea"},"schema_version":"1.0","source":{"id":"2504.18180","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.18180","created_at":"2026-07-05T10:54:03Z"},{"alias_kind":"arxiv_version","alias_value":"2504.18180v1","created_at":"2026-07-05T10:54:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.18180","created_at":"2026-07-05T10:54:03Z"},{"alias_kind":"pith_short_12","alias_value":"L62WZAIEUFOT","created_at":"2026-07-05T10:54:03Z"},{"alias_kind":"pith_short_16","alias_value":"L62WZAIEUFOTBKNV","created_at":"2026-07-05T10:54:03Z"},{"alias_kind":"pith_short_8","alias_value":"L62WZAIE","created_at":"2026-07-05T10:54:03Z"}],"graph_snapshots":[{"event_id":"sha256:a0992423ebcb9e65c0aa78e87cd96c6fad9c901e8ca2dd49cc0f9872c0304509","target":"graph","created_at":"2026-07-05T10:54:03Z","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/2504.18180/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The integration of language models in the legal domain holds considerable promise for streamlining processes and improving efficiency in managing extensive workloads. However, the specialized terminology, nuanced language, and formal style of legal texts can present substantial challenges. This study examines whether preference-based training techniques, specifically Reinforcement Learning from Human Feedback and Direct Preference Optimization, can enhance models' performance in generating Icelandic legal summaries that align with domain-specific language standards and user preferences. We com","authors_text":"Hrafn Loftsson, Stef\\'an \\'Olafsson, {\\TH}\\'orir Hrafn Har{\\dh}arson","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-04-25T08:55:15Z","title":"Aligning Language Models for Icelandic Legal Text Summarization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.18180","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":"sha256:4a835c4627066ffe475e1eb4ed957c5cf3930a893738bb8d49fab9788b376856","target":"record","created_at":"2026-07-05T10:54:03Z","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":"e47508cb709196c5270d42bcb135c22b07d3631273470d96ad1658d9305711cb","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-04-25T08:55:15Z","title_canon_sha256":"b338956a0b8ef5c487ba5c6c137afd37dc514e5e4296f991d4de348b39ffeeea"},"schema_version":"1.0","source":{"id":"2504.18180","kind":"arxiv","version":1}},"canonical_sha256":"5fb56c8104a15d30a9b5ea779da56e8e018d8e62a572379db2e6a13d2ab6aa4f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5fb56c8104a15d30a9b5ea779da56e8e018d8e62a572379db2e6a13d2ab6aa4f","first_computed_at":"2026-07-05T10:54:03.253421Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:54:03.253421Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mWJ5wDWdC8CfVLuUCKmunjJ2fmBuGRqq27w3p2i2Cp1fq97bQaFcNpmajyhRcKfKhmJY0kzDb/B+9IzcNgJbCg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:54:03.253911Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.18180","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4a835c4627066ffe475e1eb4ed957c5cf3930a893738bb8d49fab9788b376856","sha256:a0992423ebcb9e65c0aa78e87cd96c6fad9c901e8ca2dd49cc0f9872c0304509"],"state_sha256":"fc9b5182bd3694338ae7e061a87bd5da5d401c25047fd717108d058bc5eba2bf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5NmobX14AtTZbXDDS4HO7AMfTH9RF1dKHaImnf3WW72H/2q6iLHDIKl7co0GSNoa9Gpj1RBVthISnT5RDGIGDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T17:02:59.221913Z","bundle_sha256":"f85c2661b8f39926cd39ce5ce0c4fcd92cedf2654aa8d9d67b9991a510c94c8a"}}