{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:W5I5XK2CFFHOBFYHJOVMLMWNDK","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":"77b9400eb71acc19c1af5e7e5f01a8ddf95eccba675f40c5d57b3cdc2d505df9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-13T15:59:25Z","title_canon_sha256":"e676f239fa77e18004c4e421c54664bf8255afc84f47da470956c4eede1648ee"},"schema_version":"1.0","source":{"id":"2607.11736","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.11736","created_at":"2026-07-14T02:22:21Z"},{"alias_kind":"arxiv_version","alias_value":"2607.11736v1","created_at":"2026-07-14T02:22:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.11736","created_at":"2026-07-14T02:22:21Z"},{"alias_kind":"pith_short_12","alias_value":"W5I5XK2CFFHO","created_at":"2026-07-14T02:22:21Z"},{"alias_kind":"pith_short_16","alias_value":"W5I5XK2CFFHOBFYH","created_at":"2026-07-14T02:22:21Z"},{"alias_kind":"pith_short_8","alias_value":"W5I5XK2C","created_at":"2026-07-14T02:22:21Z"}],"graph_snapshots":[{"event_id":"sha256:edc04c7988288ceeba8e27d61cde71d0fb29f88d61fed5a39e9ee31b0e18de5a","target":"graph","created_at":"2026-07-14T02:22:21Z","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/2607.11736/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Language models are increasingly used for moral decision-making across diverse linguistic and cultural contexts, yet existing work overlooks multilinguality on three aspects: 1) multilingual evaluation benchmarks use direct translation, failing to adapt culture-specific items; 2) inference-time methods for moral reasoning rely on static, English-centric scaffolds and lack grounding in moral theory; 3) training methods for moral decision-making typically require expensive supervision from stronger models or human annotators. We address these gaps with three contributions. First, we introduce MC","authors_text":"Ayoung Lee, Lu Wang, Peter Railton, Ryan Kwon, Yunxiang Zhang, Yuxuan Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-13T15:59:25Z","title":"MET: Theory-Grounded and Culture-Aware Multilingual Moral Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.11736","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":"sha256:3075cf3831067f4a93eb03a6e9636efea76c12e029c68a19bedb7b22cd1c8a5d","target":"record","created_at":"2026-07-14T02:22:21Z","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":"77b9400eb71acc19c1af5e7e5f01a8ddf95eccba675f40c5d57b3cdc2d505df9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-13T15:59:25Z","title_canon_sha256":"e676f239fa77e18004c4e421c54664bf8255afc84f47da470956c4eede1648ee"},"schema_version":"1.0","source":{"id":"2607.11736","kind":"arxiv","version":1}},"canonical_sha256":"b751dbab42294ee097074baac5b2cd1ab37a68d530ad6f294bb6aca7af3f9ecc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b751dbab42294ee097074baac5b2cd1ab37a68d530ad6f294bb6aca7af3f9ecc","first_computed_at":"2026-07-14T02:22:21.988950Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-14T02:22:21.988950Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"L4Z8qjTtX1zv4R/+DOC3ArxYuyMRztTIGcfdIJQiSBpezpPYaq8CbIpSqQ/LxodisgKO1YUdewRk5vAbfFZUAA==","signature_status":"signed_v1","signed_at":"2026-07-14T02:22:21.989957Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.11736","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3075cf3831067f4a93eb03a6e9636efea76c12e029c68a19bedb7b22cd1c8a5d","sha256:edc04c7988288ceeba8e27d61cde71d0fb29f88d61fed5a39e9ee31b0e18de5a"],"state_sha256":"93747014a8553b95e460602b51e1425072f7ba2378ab4bc594c4b10cfc0c4dcc"}