{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:YJNM7B6OHEYEM2Z4BQTZLYUZSW","short_pith_number":"pith:YJNM7B6O","canonical_record":{"source":{"id":"2606.01995","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-01T09:50:50Z","cross_cats_sorted":[],"title_canon_sha256":"16582e94315c1015e69e32ec13b8bd734ab7237268ed29b109c4dbb70a642135","abstract_canon_sha256":"a4d83d4695bb418abea349ba77e28d08f665263a2beae45a256146c9edc1a379"},"schema_version":"1.0"},"canonical_sha256":"c25acf87ce3930466b3c0c2795e29995be882d459d658cd9d0ba160df4c41575","source":{"kind":"arxiv","id":"2606.01995","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.01995","created_at":"2026-06-02T02:05:03Z"},{"alias_kind":"arxiv_version","alias_value":"2606.01995v1","created_at":"2026-06-02T02:05:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01995","created_at":"2026-06-02T02:05:03Z"},{"alias_kind":"pith_short_12","alias_value":"YJNM7B6OHEYE","created_at":"2026-06-02T02:05:03Z"},{"alias_kind":"pith_short_16","alias_value":"YJNM7B6OHEYEM2Z4","created_at":"2026-06-02T02:05:03Z"},{"alias_kind":"pith_short_8","alias_value":"YJNM7B6O","created_at":"2026-06-02T02:05:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:YJNM7B6OHEYEM2Z4BQTZLYUZSW","target":"record","payload":{"canonical_record":{"source":{"id":"2606.01995","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-01T09:50:50Z","cross_cats_sorted":[],"title_canon_sha256":"16582e94315c1015e69e32ec13b8bd734ab7237268ed29b109c4dbb70a642135","abstract_canon_sha256":"a4d83d4695bb418abea349ba77e28d08f665263a2beae45a256146c9edc1a379"},"schema_version":"1.0"},"canonical_sha256":"c25acf87ce3930466b3c0c2795e29995be882d459d658cd9d0ba160df4c41575","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T02:05:03.106972Z","signature_b64":"XhiFI566jy45/ctRwJ62lnyOQVP4pyE9VJl7t17+Yp0t3P1fX7e7g1pFT9HIMNlOG/Vo60KJBkw4/8gPOvs+Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c25acf87ce3930466b3c0c2795e29995be882d459d658cd9d0ba160df4c41575","last_reissued_at":"2026-06-02T02:05:03.106498Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T02:05:03.106498Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.01995","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":"2026-06-02T02:05:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CFMGvEdzK8GzRvzdIiejIH+UOJMwbrEezGl/fBfeS/E6XQByADI9946mgITVCbSZg+blDwYlKFesu0wr4srGDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T16:46:15.799939Z"},"content_sha256":"af8e21e606ed4474e087c4322ea29cee78691f4edaae9aacd8e501f4a426454b","schema_version":"1.0","event_id":"sha256:af8e21e606ed4474e087c4322ea29cee78691f4edaae9aacd8e501f4a426454b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:YJNM7B6OHEYEM2Z4BQTZLYUZSW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CARTE: A Benchmark for Mapping Language Model Knowledge Across France","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Christos Xypolopoulos (X, MBZUAI), Michalis Vazirgiannis (X, NTUA), Sarah Almeida Carneiro (X), Xiao Fei (X), Yang Zhang (X)","submitted_at":"2026-06-01T09:50:50Z","abstract_excerpt":"We introduce CARTE 1 (Culturally Anchored Regional-Territorial Evaluation), a multiplechoice benchmark for evaluating the ability of large language models (LLMs) to perform fine-grained reasoning over geographically grounded and regionally differentiated knowledge within France. While prior benchmarks focus on national-level cultural understanding, they largely overlook intra-country variation and the need to distinguish between closely related regional contexts. CARTE addresses this gap by introducing 2,431 questions spanning the 13 metropolitan regions of France and covering 14 thematic doma"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01995","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/2606.01995/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":"2026-06-02T02:05:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S4UGdftWOsWCnuZnH1oJK77Lt7iQS6Q7YdISV1aR+Wk7TCfBu8jfdKbs14hoqvv6ZahdjYaP2IEhvrhd9Lx5BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T16:46:15.800662Z"},"content_sha256":"fc0468e323ae42e3d0ee02b921be1186668d95243e23b71226d28957d42e98fd","schema_version":"1.0","event_id":"sha256:fc0468e323ae42e3d0ee02b921be1186668d95243e23b71226d28957d42e98fd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YJNM7B6OHEYEM2Z4BQTZLYUZSW/bundle.json","state_url":"https://pith.science/pith/YJNM7B6OHEYEM2Z4BQTZLYUZSW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YJNM7B6OHEYEM2Z4BQTZLYUZSW/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":"2026-06-08T16:46:15Z","links":{"resolver":"https://pith.science/pith/YJNM7B6OHEYEM2Z4BQTZLYUZSW","bundle":"https://pith.science/pith/YJNM7B6OHEYEM2Z4BQTZLYUZSW/bundle.json","state":"https://pith.science/pith/YJNM7B6OHEYEM2Z4BQTZLYUZSW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YJNM7B6OHEYEM2Z4BQTZLYUZSW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YJNM7B6OHEYEM2Z4BQTZLYUZSW","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":"a4d83d4695bb418abea349ba77e28d08f665263a2beae45a256146c9edc1a379","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-01T09:50:50Z","title_canon_sha256":"16582e94315c1015e69e32ec13b8bd734ab7237268ed29b109c4dbb70a642135"},"schema_version":"1.0","source":{"id":"2606.01995","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.01995","created_at":"2026-06-02T02:05:03Z"},{"alias_kind":"arxiv_version","alias_value":"2606.01995v1","created_at":"2026-06-02T02:05:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01995","created_at":"2026-06-02T02:05:03Z"},{"alias_kind":"pith_short_12","alias_value":"YJNM7B6OHEYE","created_at":"2026-06-02T02:05:03Z"},{"alias_kind":"pith_short_16","alias_value":"YJNM7B6OHEYEM2Z4","created_at":"2026-06-02T02:05:03Z"},{"alias_kind":"pith_short_8","alias_value":"YJNM7B6O","created_at":"2026-06-02T02:05:03Z"}],"graph_snapshots":[{"event_id":"sha256:fc0468e323ae42e3d0ee02b921be1186668d95243e23b71226d28957d42e98fd","target":"graph","created_at":"2026-06-02T02:05:03Z","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/2606.01995/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce CARTE 1 (Culturally Anchored Regional-Territorial Evaluation), a multiplechoice benchmark for evaluating the ability of large language models (LLMs) to perform fine-grained reasoning over geographically grounded and regionally differentiated knowledge within France. While prior benchmarks focus on national-level cultural understanding, they largely overlook intra-country variation and the need to distinguish between closely related regional contexts. CARTE addresses this gap by introducing 2,431 questions spanning the 13 metropolitan regions of France and covering 14 thematic doma","authors_text":"Christos Xypolopoulos (X, MBZUAI), Michalis Vazirgiannis (X, NTUA), Sarah Almeida Carneiro (X), Xiao Fei (X), Yang Zhang (X)","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-01T09:50:50Z","title":"CARTE: A Benchmark for Mapping Language Model Knowledge Across France"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01995","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:af8e21e606ed4474e087c4322ea29cee78691f4edaae9aacd8e501f4a426454b","target":"record","created_at":"2026-06-02T02:05:03Z","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":"a4d83d4695bb418abea349ba77e28d08f665263a2beae45a256146c9edc1a379","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-01T09:50:50Z","title_canon_sha256":"16582e94315c1015e69e32ec13b8bd734ab7237268ed29b109c4dbb70a642135"},"schema_version":"1.0","source":{"id":"2606.01995","kind":"arxiv","version":1}},"canonical_sha256":"c25acf87ce3930466b3c0c2795e29995be882d459d658cd9d0ba160df4c41575","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c25acf87ce3930466b3c0c2795e29995be882d459d658cd9d0ba160df4c41575","first_computed_at":"2026-06-02T02:05:03.106498Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T02:05:03.106498Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XhiFI566jy45/ctRwJ62lnyOQVP4pyE9VJl7t17+Yp0t3P1fX7e7g1pFT9HIMNlOG/Vo60KJBkw4/8gPOvs+Ag==","signature_status":"signed_v1","signed_at":"2026-06-02T02:05:03.106972Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.01995","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:af8e21e606ed4474e087c4322ea29cee78691f4edaae9aacd8e501f4a426454b","sha256:fc0468e323ae42e3d0ee02b921be1186668d95243e23b71226d28957d42e98fd"],"state_sha256":"96fba3e06e9d5bbc35629ab742aea00e55f9ba122e7ac8ba66ed0afb4a095c04"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4m5yClYi3LKrHSBtz0DxYmbbGLm0pkmrDNkGjXe/kLpBB1CEM6RkeBDL51YofVcKdBDE5/dPRyvL4BGn3uM6CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T16:46:15.804878Z","bundle_sha256":"fbc14f2e5239fe9bb5a09798182b9d842aae0fe397149bafb5de72d391dffc18"}}