{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:XP2RAABNRK7ZAFMOZP6D4NGYPR","short_pith_number":"pith:XP2RAABN","canonical_record":{"source":{"id":"2605.30934","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-29T07:23:23Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"52a590f80e85d620f9e1780514193cba67d64dcd7cf2b2df7365668cea28c3d2","abstract_canon_sha256":"39d3564928e0b0d8034581f0d9449534a1fa0f91c59d9a644f3c96e3ee7d0dea"},"schema_version":"1.0"},"canonical_sha256":"bbf510002d8abf90158ecbfc3e34d87c425618f29e10ed406822c9282047782f","source":{"kind":"arxiv","id":"2605.30934","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30934","created_at":"2026-06-01T01:03:26Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30934v1","created_at":"2026-06-01T01:03:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30934","created_at":"2026-06-01T01:03:26Z"},{"alias_kind":"pith_short_12","alias_value":"XP2RAABNRK7Z","created_at":"2026-06-01T01:03:26Z"},{"alias_kind":"pith_short_16","alias_value":"XP2RAABNRK7ZAFMO","created_at":"2026-06-01T01:03:26Z"},{"alias_kind":"pith_short_8","alias_value":"XP2RAABN","created_at":"2026-06-01T01:03:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:XP2RAABNRK7ZAFMOZP6D4NGYPR","target":"record","payload":{"canonical_record":{"source":{"id":"2605.30934","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-29T07:23:23Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"52a590f80e85d620f9e1780514193cba67d64dcd7cf2b2df7365668cea28c3d2","abstract_canon_sha256":"39d3564928e0b0d8034581f0d9449534a1fa0f91c59d9a644f3c96e3ee7d0dea"},"schema_version":"1.0"},"canonical_sha256":"bbf510002d8abf90158ecbfc3e34d87c425618f29e10ed406822c9282047782f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-01T01:03:26.651975Z","signature_b64":"odw1BdJ49m/rTR9YtVJ4Cbrsm2A9y9sqPefF8zE/SJLQUNm0pe6OyDX+L1MriOM0xJzJPXMh80FScsjMAwxsDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bbf510002d8abf90158ecbfc3e34d87c425618f29e10ed406822c9282047782f","last_reissued_at":"2026-06-01T01:03:26.651455Z","signature_status":"signed_v1","first_computed_at":"2026-06-01T01:03:26.651455Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.30934","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":"2026-06-01T01:03:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xLvjdGyV9G1b3Cc6nvowz4YVHuBDlR014KRtrYmDlg5HScL0Yquj7Qmpvv24zVHuH88bj32H+FPAeapsCTBoDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T15:56:26.009253Z"},"content_sha256":"4b19f29e33ff631be9811b08c1506ef3bca39a59711cf54792a4e04ba6e962b1","schema_version":"1.0","event_id":"sha256:4b19f29e33ff631be9811b08c1506ef3bca39a59711cf54792a4e04ba6e962b1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:XP2RAABNRK7ZAFMOZP6D4NGYPR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Do Large Language Models Encode Institutional Experience? Evidence from Cross-Linguistic Moral Reasoning Under Ambiguity","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Nattavudh Powdthavee","submitted_at":"2026-05-29T07:23:23Z","abstract_excerpt":"Large language models (LLMs) exhibit systematic differences in moral reasoning across languages, yet the source of this variation remains unclear. We test the hypothesis that languages encode aspects of the institutional environments in which they are spoken, allowing LLMs to inherit institution-specific moral priors through training. Across nine languages spanning a broad gradient of institutional quality, six frontier LLMs, and two preregistered studies, we examine moral dilemmas whose acceptability depends on institutional functioning. In Study 1, explicit institutional framing produced uni"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30934","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/2605.30934/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":"2026-06-01T01:03:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ulYBWPyRG8gBQ7LttmMhK5q2Pe6Szh8bgedO+6dWcDcLwNWdG7gGufVgv27yoCbBv2LKFFbwlLBrolPGS3DBAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T15:56:26.010037Z"},"content_sha256":"37dab3976e44efd60f502debfaa9a67080888e10258923cc407e23c3d82ca920","schema_version":"1.0","event_id":"sha256:37dab3976e44efd60f502debfaa9a67080888e10258923cc407e23c3d82ca920"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XP2RAABNRK7ZAFMOZP6D4NGYPR/bundle.json","state_url":"https://pith.science/pith/XP2RAABNRK7ZAFMOZP6D4NGYPR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XP2RAABNRK7ZAFMOZP6D4NGYPR/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":"2026-06-04T15:56:26Z","links":{"resolver":"https://pith.science/pith/XP2RAABNRK7ZAFMOZP6D4NGYPR","bundle":"https://pith.science/pith/XP2RAABNRK7ZAFMOZP6D4NGYPR/bundle.json","state":"https://pith.science/pith/XP2RAABNRK7ZAFMOZP6D4NGYPR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XP2RAABNRK7ZAFMOZP6D4NGYPR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:XP2RAABNRK7ZAFMOZP6D4NGYPR","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":"39d3564928e0b0d8034581f0d9449534a1fa0f91c59d9a644f3c96e3ee7d0dea","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-29T07:23:23Z","title_canon_sha256":"52a590f80e85d620f9e1780514193cba67d64dcd7cf2b2df7365668cea28c3d2"},"schema_version":"1.0","source":{"id":"2605.30934","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30934","created_at":"2026-06-01T01:03:26Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30934v1","created_at":"2026-06-01T01:03:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30934","created_at":"2026-06-01T01:03:26Z"},{"alias_kind":"pith_short_12","alias_value":"XP2RAABNRK7Z","created_at":"2026-06-01T01:03:26Z"},{"alias_kind":"pith_short_16","alias_value":"XP2RAABNRK7ZAFMO","created_at":"2026-06-01T01:03:26Z"},{"alias_kind":"pith_short_8","alias_value":"XP2RAABN","created_at":"2026-06-01T01:03:26Z"}],"graph_snapshots":[{"event_id":"sha256:37dab3976e44efd60f502debfaa9a67080888e10258923cc407e23c3d82ca920","target":"graph","created_at":"2026-06-01T01:03:26Z","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/2605.30934/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) exhibit systematic differences in moral reasoning across languages, yet the source of this variation remains unclear. We test the hypothesis that languages encode aspects of the institutional environments in which they are spoken, allowing LLMs to inherit institution-specific moral priors through training. Across nine languages spanning a broad gradient of institutional quality, six frontier LLMs, and two preregistered studies, we examine moral dilemmas whose acceptability depends on institutional functioning. In Study 1, explicit institutional framing produced uni","authors_text":"Nattavudh Powdthavee","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-29T07:23:23Z","title":"Do Large Language Models Encode Institutional Experience? Evidence from Cross-Linguistic Moral Reasoning Under Ambiguity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30934","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":"sha256:4b19f29e33ff631be9811b08c1506ef3bca39a59711cf54792a4e04ba6e962b1","target":"record","created_at":"2026-06-01T01:03:26Z","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":"39d3564928e0b0d8034581f0d9449534a1fa0f91c59d9a644f3c96e3ee7d0dea","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-29T07:23:23Z","title_canon_sha256":"52a590f80e85d620f9e1780514193cba67d64dcd7cf2b2df7365668cea28c3d2"},"schema_version":"1.0","source":{"id":"2605.30934","kind":"arxiv","version":1}},"canonical_sha256":"bbf510002d8abf90158ecbfc3e34d87c425618f29e10ed406822c9282047782f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bbf510002d8abf90158ecbfc3e34d87c425618f29e10ed406822c9282047782f","first_computed_at":"2026-06-01T01:03:26.651455Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T01:03:26.651455Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"odw1BdJ49m/rTR9YtVJ4Cbrsm2A9y9sqPefF8zE/SJLQUNm0pe6OyDX+L1MriOM0xJzJPXMh80FScsjMAwxsDQ==","signature_status":"signed_v1","signed_at":"2026-06-01T01:03:26.651975Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.30934","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4b19f29e33ff631be9811b08c1506ef3bca39a59711cf54792a4e04ba6e962b1","sha256:37dab3976e44efd60f502debfaa9a67080888e10258923cc407e23c3d82ca920"],"state_sha256":"5c2b0cf06dc42aa249c14bc9ff02a6f748dd0c4d7171b81b7239fcacb9f1e8d2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6b40LDfFeDXaX8FBEoFP5XYFM9N9g1bVW6p5IcyTdnzSIGyIYcBQANkbPnCR9OG7bFp5uWoBmLhGEbYBah2rDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T15:56:26.013082Z","bundle_sha256":"ed789b3ebb9335ed26438a690bfc069492f1327a875e7d585aaeef9e6d0e3716"}}