{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:I5UHXSDQIR3Z5OPSPMBISBFRGL","short_pith_number":"pith:I5UHXSDQ","canonical_record":{"source":{"id":"2505.07184","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-12T02:21:36Z","cross_cats_sorted":[],"title_canon_sha256":"581991591c229cbb3a832f2a3bafa81a66fe4bdd4d238e6712c2aaaed52ae25d","abstract_canon_sha256":"3b6f2938d17994e756f7e57c3d146f8a9abb5655e070945887a6aeb76fbbbee0"},"schema_version":"1.0"},"canonical_sha256":"47687bc87044779eb9f27b028904b132e12d9f5f07b50848515232c2adf322e1","source":{"kind":"arxiv","id":"2505.07184","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.07184","created_at":"2026-07-05T11:01:43Z"},{"alias_kind":"arxiv_version","alias_value":"2505.07184v1","created_at":"2026-07-05T11:01:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.07184","created_at":"2026-07-05T11:01:43Z"},{"alias_kind":"pith_short_12","alias_value":"I5UHXSDQIR3Z","created_at":"2026-07-05T11:01:43Z"},{"alias_kind":"pith_short_16","alias_value":"I5UHXSDQIR3Z5OPS","created_at":"2026-07-05T11:01:43Z"},{"alias_kind":"pith_short_8","alias_value":"I5UHXSDQ","created_at":"2026-07-05T11:01:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:I5UHXSDQIR3Z5OPSPMBISBFRGL","target":"record","payload":{"canonical_record":{"source":{"id":"2505.07184","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-12T02:21:36Z","cross_cats_sorted":[],"title_canon_sha256":"581991591c229cbb3a832f2a3bafa81a66fe4bdd4d238e6712c2aaaed52ae25d","abstract_canon_sha256":"3b6f2938d17994e756f7e57c3d146f8a9abb5655e070945887a6aeb76fbbbee0"},"schema_version":"1.0"},"canonical_sha256":"47687bc87044779eb9f27b028904b132e12d9f5f07b50848515232c2adf322e1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:01:43.944593Z","signature_b64":"/MKDiOTdpHB/pqyIsqWfm4EmdK9eyT8syrmwtdswsCuRdr+HWJhyQe/eeybGRwBIlqExrgkdu2gOHXhusv82CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"47687bc87044779eb9f27b028904b132e12d9f5f07b50848515232c2adf322e1","last_reissued_at":"2026-07-05T11:01:43.944221Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:01:43.944221Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.07184","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":"2026-07-05T11:01:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cUoh438PzhfjTltlaDhJ+LNSYk1ymSfLA83rDFF9pdoWAVj5lSTtNbJ4sv/KqdNN3kRt5lIpC3bBngzXjg14BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T10:37:32.820662Z"},"content_sha256":"86c2091474e644f9824e3b9dfffad150c212911fd9c42f57b3630e6c15866ab4","schema_version":"1.0","event_id":"sha256:86c2091474e644f9824e3b9dfffad150c212911fd9c42f57b3630e6c15866ab4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:I5UHXSDQIR3Z5OPSPMBISBFRGL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Structural Entropy Guided Agent for Detecting and Repairing Knowledge Deficiencies in LLMs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Angsheng Li, Li Du, Tengfei Pan, Xiaoyan Yu, Yifan Wei","submitted_at":"2025-05-12T02:21:36Z","abstract_excerpt":"Large language models (LLMs) have achieved unprecedented performance by leveraging vast pretraining corpora, yet their performance remains suboptimal in knowledge-intensive domains such as medicine and scientific research, where high factual precision is required. While synthetic data provides a promising avenue for augmenting domain knowledge, existing methods frequently generate redundant samples that do not align with the model's true knowledge gaps. To overcome this limitation, we propose a novel Structural Entropy-guided Knowledge Navigator (SENATOR) framework that addresses the intrinsic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.07184","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/2505.07184/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":"2026-07-05T11:01:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iLpmBRzLvufgi48084AEegtzv9YgRLVt09dOTnZaAdbZpzW6aV20gwMKU/JvmBo9RbJH66ZidQDUh4F8DQ7xAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T10:37:32.821163Z"},"content_sha256":"6de79ae11f05c6cd6c59cd41332ae5a5019e375ae0b93d4ff8f00401661f33c5","schema_version":"1.0","event_id":"sha256:6de79ae11f05c6cd6c59cd41332ae5a5019e375ae0b93d4ff8f00401661f33c5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I5UHXSDQIR3Z5OPSPMBISBFRGL/bundle.json","state_url":"https://pith.science/pith/I5UHXSDQIR3Z5OPSPMBISBFRGL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I5UHXSDQIR3Z5OPSPMBISBFRGL/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":"2026-08-08T10:37:32Z","links":{"resolver":"https://pith.science/pith/I5UHXSDQIR3Z5OPSPMBISBFRGL","bundle":"https://pith.science/pith/I5UHXSDQIR3Z5OPSPMBISBFRGL/bundle.json","state":"https://pith.science/pith/I5UHXSDQIR3Z5OPSPMBISBFRGL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I5UHXSDQIR3Z5OPSPMBISBFRGL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:I5UHXSDQIR3Z5OPSPMBISBFRGL","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":"3b6f2938d17994e756f7e57c3d146f8a9abb5655e070945887a6aeb76fbbbee0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-12T02:21:36Z","title_canon_sha256":"581991591c229cbb3a832f2a3bafa81a66fe4bdd4d238e6712c2aaaed52ae25d"},"schema_version":"1.0","source":{"id":"2505.07184","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.07184","created_at":"2026-07-05T11:01:43Z"},{"alias_kind":"arxiv_version","alias_value":"2505.07184v1","created_at":"2026-07-05T11:01:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.07184","created_at":"2026-07-05T11:01:43Z"},{"alias_kind":"pith_short_12","alias_value":"I5UHXSDQIR3Z","created_at":"2026-07-05T11:01:43Z"},{"alias_kind":"pith_short_16","alias_value":"I5UHXSDQIR3Z5OPS","created_at":"2026-07-05T11:01:43Z"},{"alias_kind":"pith_short_8","alias_value":"I5UHXSDQ","created_at":"2026-07-05T11:01:43Z"}],"graph_snapshots":[{"event_id":"sha256:6de79ae11f05c6cd6c59cd41332ae5a5019e375ae0b93d4ff8f00401661f33c5","target":"graph","created_at":"2026-07-05T11:01:43Z","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/2505.07184/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have achieved unprecedented performance by leveraging vast pretraining corpora, yet their performance remains suboptimal in knowledge-intensive domains such as medicine and scientific research, where high factual precision is required. While synthetic data provides a promising avenue for augmenting domain knowledge, existing methods frequently generate redundant samples that do not align with the model's true knowledge gaps. To overcome this limitation, we propose a novel Structural Entropy-guided Knowledge Navigator (SENATOR) framework that addresses the intrinsic","authors_text":"Angsheng Li, Li Du, Tengfei Pan, Xiaoyan Yu, Yifan Wei","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-12T02:21:36Z","title":"Structural Entropy Guided Agent for Detecting and Repairing Knowledge Deficiencies in LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.07184","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":"sha256:86c2091474e644f9824e3b9dfffad150c212911fd9c42f57b3630e6c15866ab4","target":"record","created_at":"2026-07-05T11:01:43Z","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":"3b6f2938d17994e756f7e57c3d146f8a9abb5655e070945887a6aeb76fbbbee0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-12T02:21:36Z","title_canon_sha256":"581991591c229cbb3a832f2a3bafa81a66fe4bdd4d238e6712c2aaaed52ae25d"},"schema_version":"1.0","source":{"id":"2505.07184","kind":"arxiv","version":1}},"canonical_sha256":"47687bc87044779eb9f27b028904b132e12d9f5f07b50848515232c2adf322e1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"47687bc87044779eb9f27b028904b132e12d9f5f07b50848515232c2adf322e1","first_computed_at":"2026-07-05T11:01:43.944221Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:01:43.944221Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/MKDiOTdpHB/pqyIsqWfm4EmdK9eyT8syrmwtdswsCuRdr+HWJhyQe/eeybGRwBIlqExrgkdu2gOHXhusv82CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:01:43.944593Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.07184","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:86c2091474e644f9824e3b9dfffad150c212911fd9c42f57b3630e6c15866ab4","sha256:6de79ae11f05c6cd6c59cd41332ae5a5019e375ae0b93d4ff8f00401661f33c5"],"state_sha256":"d47bcb1b7279a481b27b794ea66adc58769a2ad83812762e520a85837be78a7e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yTUFpysB0qnDqVQ1blRll9ZH7cbqdaTxeRTCy5iW0uDpBpnFv3BUI7a5jJVxhYVIhnStO/AQ36LG/ixSagZDAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T10:37:32.825877Z","bundle_sha256":"da2a5d72f90276e030658e025c125dada82c569c7a3196f73c8ed3cd3edcc376"}}