{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:6MSL6OJHP7ZY6RL65Q5M36MGKL","short_pith_number":"pith:6MSL6OJH","canonical_record":{"source":{"id":"2605.24686","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-23T17:48:09Z","cross_cats_sorted":[],"title_canon_sha256":"642be1af7b009635436662509742679ccc3d0e96cbb0fa917631cbca19c77155","abstract_canon_sha256":"fee3410c3124482978cdef80b3c6351c61233d94fb7aba7cb7494806a842e6f4"},"schema_version":"1.0"},"canonical_sha256":"f324bf39277ff38f457eec3acdf98652fcf7757f14830475b9f0065cf080354a","source":{"kind":"arxiv","id":"2605.24686","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.24686","created_at":"2026-05-26T01:03:53Z"},{"alias_kind":"arxiv_version","alias_value":"2605.24686v1","created_at":"2026-05-26T01:03:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24686","created_at":"2026-05-26T01:03:53Z"},{"alias_kind":"pith_short_12","alias_value":"6MSL6OJHP7ZY","created_at":"2026-05-26T01:03:53Z"},{"alias_kind":"pith_short_16","alias_value":"6MSL6OJHP7ZY6RL6","created_at":"2026-05-26T01:03:53Z"},{"alias_kind":"pith_short_8","alias_value":"6MSL6OJH","created_at":"2026-05-26T01:03:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:6MSL6OJHP7ZY6RL65Q5M36MGKL","target":"record","payload":{"canonical_record":{"source":{"id":"2605.24686","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-23T17:48:09Z","cross_cats_sorted":[],"title_canon_sha256":"642be1af7b009635436662509742679ccc3d0e96cbb0fa917631cbca19c77155","abstract_canon_sha256":"fee3410c3124482978cdef80b3c6351c61233d94fb7aba7cb7494806a842e6f4"},"schema_version":"1.0"},"canonical_sha256":"f324bf39277ff38f457eec3acdf98652fcf7757f14830475b9f0065cf080354a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T01:03:53.294091Z","signature_b64":"pVvHgMslPQEAK4GfYTxQXlCTF1DevOo923uZcBP1yE2lKDImL/1sJRplXqVZoo+WMs5scwx4yIWuiUjuAAfjDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f324bf39277ff38f457eec3acdf98652fcf7757f14830475b9f0065cf080354a","last_reissued_at":"2026-05-26T01:03:53.293333Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T01:03:53.293333Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.24686","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":"2026-05-26T01:03:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MOBQsybqDw7AjkCdi4Cbbk5vqpDFBS5kvdxcvy/XjavGHawpKGnbfJOg/ydq0cb793mCkqumz0LgGgLTWITyBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T13:21:42.951822Z"},"content_sha256":"895a6e2eb36a42113b5cbf5dfd668195a23bc979bc45ef419afd1211fe548cba","schema_version":"1.0","event_id":"sha256:895a6e2eb36a42113b5cbf5dfd668195a23bc979bc45ef419afd1211fe548cba"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:6MSL6OJHP7ZY6RL65Q5M36MGKL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Emotional intelligence in large language models is fragmented across perception, cognition, and interaction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Anji Zhou, Enchang Zhang, Fenghua Tang, Hanyi Zhang, Lu Chen, Mengyue Wu, Minghao Lv, Xiaoran Xue, Zhuo Rachel Han","submitted_at":"2026-05-23T17:48:09Z","abstract_excerpt":"As large language models (LLMs) are increasingly integrated into emotionally sensitive domains, the structural integrity of their emotional intelligence (EI) becomes a critical frontier for safety and alignment. Current benchmarks often conflate superficial politeness with deep affective reasoning, failing to distinguish between perceptual accuracy and interactive efficacy. Here, we introduce FACET (Functional Affective Competence and Empathy Test), a psychometrically grounded framework comprising 480 expert-crafted items. Unlike previous metrics, FACET is theoretically anchored in the Mayer-S"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24686","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/2605.24686/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":"2026-05-26T01:03:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3jZpqBuZQh+hg6MhMd/5uzRdaHOnA23AW2lTOHwRBxC3M9q7MLvVjF+62GaaiHTsiKW/rORirH1NDExn4eoqBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T13:21:42.952459Z"},"content_sha256":"e72923f5ca3f19049a43273f84e5614f521c701efd54878ad7d2f713cf955cdc","schema_version":"1.0","event_id":"sha256:e72923f5ca3f19049a43273f84e5614f521c701efd54878ad7d2f713cf955cdc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6MSL6OJHP7ZY6RL65Q5M36MGKL/bundle.json","state_url":"https://pith.science/pith/6MSL6OJHP7ZY6RL65Q5M36MGKL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6MSL6OJHP7ZY6RL65Q5M36MGKL/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":"2026-06-06T13:21:42Z","links":{"resolver":"https://pith.science/pith/6MSL6OJHP7ZY6RL65Q5M36MGKL","bundle":"https://pith.science/pith/6MSL6OJHP7ZY6RL65Q5M36MGKL/bundle.json","state":"https://pith.science/pith/6MSL6OJHP7ZY6RL65Q5M36MGKL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6MSL6OJHP7ZY6RL65Q5M36MGKL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:6MSL6OJHP7ZY6RL65Q5M36MGKL","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":"fee3410c3124482978cdef80b3c6351c61233d94fb7aba7cb7494806a842e6f4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-23T17:48:09Z","title_canon_sha256":"642be1af7b009635436662509742679ccc3d0e96cbb0fa917631cbca19c77155"},"schema_version":"1.0","source":{"id":"2605.24686","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.24686","created_at":"2026-05-26T01:03:53Z"},{"alias_kind":"arxiv_version","alias_value":"2605.24686v1","created_at":"2026-05-26T01:03:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24686","created_at":"2026-05-26T01:03:53Z"},{"alias_kind":"pith_short_12","alias_value":"6MSL6OJHP7ZY","created_at":"2026-05-26T01:03:53Z"},{"alias_kind":"pith_short_16","alias_value":"6MSL6OJHP7ZY6RL6","created_at":"2026-05-26T01:03:53Z"},{"alias_kind":"pith_short_8","alias_value":"6MSL6OJH","created_at":"2026-05-26T01:03:53Z"}],"graph_snapshots":[{"event_id":"sha256:e72923f5ca3f19049a43273f84e5614f521c701efd54878ad7d2f713cf955cdc","target":"graph","created_at":"2026-05-26T01:03:53Z","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/2605.24686/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As large language models (LLMs) are increasingly integrated into emotionally sensitive domains, the structural integrity of their emotional intelligence (EI) becomes a critical frontier for safety and alignment. Current benchmarks often conflate superficial politeness with deep affective reasoning, failing to distinguish between perceptual accuracy and interactive efficacy. Here, we introduce FACET (Functional Affective Competence and Empathy Test), a psychometrically grounded framework comprising 480 expert-crafted items. Unlike previous metrics, FACET is theoretically anchored in the Mayer-S","authors_text":"Anji Zhou, Enchang Zhang, Fenghua Tang, Hanyi Zhang, Lu Chen, Mengyue Wu, Minghao Lv, Xiaoran Xue, Zhuo Rachel Han","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-23T17:48:09Z","title":"Emotional intelligence in large language models is fragmented across perception, cognition, and interaction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24686","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":"sha256:895a6e2eb36a42113b5cbf5dfd668195a23bc979bc45ef419afd1211fe548cba","target":"record","created_at":"2026-05-26T01:03:53Z","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":"fee3410c3124482978cdef80b3c6351c61233d94fb7aba7cb7494806a842e6f4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-23T17:48:09Z","title_canon_sha256":"642be1af7b009635436662509742679ccc3d0e96cbb0fa917631cbca19c77155"},"schema_version":"1.0","source":{"id":"2605.24686","kind":"arxiv","version":1}},"canonical_sha256":"f324bf39277ff38f457eec3acdf98652fcf7757f14830475b9f0065cf080354a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f324bf39277ff38f457eec3acdf98652fcf7757f14830475b9f0065cf080354a","first_computed_at":"2026-05-26T01:03:53.293333Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:03:53.293333Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pVvHgMslPQEAK4GfYTxQXlCTF1DevOo923uZcBP1yE2lKDImL/1sJRplXqVZoo+WMs5scwx4yIWuiUjuAAfjDw==","signature_status":"signed_v1","signed_at":"2026-05-26T01:03:53.294091Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.24686","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:895a6e2eb36a42113b5cbf5dfd668195a23bc979bc45ef419afd1211fe548cba","sha256:e72923f5ca3f19049a43273f84e5614f521c701efd54878ad7d2f713cf955cdc"],"state_sha256":"0645a19dfbcbba3820cf048ef497c317d7ac451849786e1d4bc20b39f1b7481f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iQ506r5fYJSOqqkUGEFTEOiDiSHWGdRp0v/0plFdx8F+W0jdwkgtOZPQfu7fJHk3ySeXfvBm+kmZlwWpXJWkBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T13:21:42.955556Z","bundle_sha256":"5ecb2d697a429f30e666cab6ecfcd5c21060a698d7f7e9d84185bedb9cc3dd3b"}}