{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ZMSDXR6ADU7KP6YBCK75NTQQTM","short_pith_number":"pith:ZMSDXR6A","canonical_record":{"source":{"id":"2502.05478","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-08T07:38:45Z","cross_cats_sorted":[],"title_canon_sha256":"7a096bf179c4852ba64c7642b3575dfef5753292d764ff1ceba0a2bffeb8ab64","abstract_canon_sha256":"11aa2632e88d5eaef78b80149dae2beecb87668af96c93864d5e950837dac351"},"schema_version":"1.0"},"canonical_sha256":"cb243bc7c01d3ea7fb0112bfd6ce109b20661d756d4bbbb1ecfba9eba92a402a","source":{"kind":"arxiv","id":"2502.05478","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.05478","created_at":"2026-07-05T10:11:38Z"},{"alias_kind":"arxiv_version","alias_value":"2502.05478v1","created_at":"2026-07-05T10:11:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.05478","created_at":"2026-07-05T10:11:38Z"},{"alias_kind":"pith_short_12","alias_value":"ZMSDXR6ADU7K","created_at":"2026-07-05T10:11:38Z"},{"alias_kind":"pith_short_16","alias_value":"ZMSDXR6ADU7KP6YB","created_at":"2026-07-05T10:11:38Z"},{"alias_kind":"pith_short_8","alias_value":"ZMSDXR6A","created_at":"2026-07-05T10:11:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ZMSDXR6ADU7KP6YBCK75NTQQTM","target":"record","payload":{"canonical_record":{"source":{"id":"2502.05478","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-08T07:38:45Z","cross_cats_sorted":[],"title_canon_sha256":"7a096bf179c4852ba64c7642b3575dfef5753292d764ff1ceba0a2bffeb8ab64","abstract_canon_sha256":"11aa2632e88d5eaef78b80149dae2beecb87668af96c93864d5e950837dac351"},"schema_version":"1.0"},"canonical_sha256":"cb243bc7c01d3ea7fb0112bfd6ce109b20661d756d4bbbb1ecfba9eba92a402a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:11:38.788988Z","signature_b64":"Tfi4McyXFD1w63JTnnYtkryVyyZEQZfzXeKR73rSBI6JiSvtV+HCVd2zzWEfbH1kncfjg6+iUUhwDFM5U21hBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cb243bc7c01d3ea7fb0112bfd6ce109b20661d756d4bbbb1ecfba9eba92a402a","last_reissued_at":"2026-07-05T10:11:38.788544Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:11:38.788544Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.05478","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":"2026-07-05T10:11:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"01R2+szfAmfgxZUH6T5wJ+fZxxyHfC2ZQrivkyaBkA/2z/ETE0rfEEMjPC5WYW7OFvI6boEKEji969KATIFnCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T01:04:54.821180Z"},"content_sha256":"bbd53e9ccd61d02fa1fcd5d0faa06bc2c94ebfaf60db4f74645cd0469a6dde29","schema_version":"1.0","event_id":"sha256:bbd53e9ccd61d02fa1fcd5d0faa06bc2c94ebfaf60db4f74645cd0469a6dde29"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ZMSDXR6ADU7KP6YBCK75NTQQTM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OntoTune: Ontology-Driven Self-training for Aligning Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chengtao Gan, Huajun Chen, Junjie Wang, Mengshu Sun, Wen Zhang, Yichi Zhang, Zhiqiang Liu, Zhongpu Bo","submitted_at":"2025-02-08T07:38:45Z","abstract_excerpt":"Existing domain-specific Large Language Models (LLMs) are typically developed by fine-tuning general-purposed LLMs with large-scale domain-specific corpora. However, training on large-scale corpora often fails to effectively organize domain knowledge of LLMs, leading to fragmented understanding. Inspired by how humans connect concepts and organize knowledge through mind maps, we aim to emulate this approach by using ontology with hierarchical conceptual knowledge to reorganize LLM's domain knowledge. From this perspective, we propose an ontology-driven self-training framework called OntoTune, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.05478","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/2502.05478/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":"2026-07-05T10:11:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jb37HFEogudS8eyED/TaA4v5x4tR+TjRY9bvtCt0Tk1UFLmQq3gcDE10SChVwki7KhLbIzCf8AN/81YNUEgPCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T01:04:54.821677Z"},"content_sha256":"ad0e7ef2d738fbb125ddada37c2f5f2523fb59f8758e19c897f54cad0c00564e","schema_version":"1.0","event_id":"sha256:ad0e7ef2d738fbb125ddada37c2f5f2523fb59f8758e19c897f54cad0c00564e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZMSDXR6ADU7KP6YBCK75NTQQTM/bundle.json","state_url":"https://pith.science/pith/ZMSDXR6ADU7KP6YBCK75NTQQTM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZMSDXR6ADU7KP6YBCK75NTQQTM/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":"2026-08-09T01:04:54Z","links":{"resolver":"https://pith.science/pith/ZMSDXR6ADU7KP6YBCK75NTQQTM","bundle":"https://pith.science/pith/ZMSDXR6ADU7KP6YBCK75NTQQTM/bundle.json","state":"https://pith.science/pith/ZMSDXR6ADU7KP6YBCK75NTQQTM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZMSDXR6ADU7KP6YBCK75NTQQTM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZMSDXR6ADU7KP6YBCK75NTQQTM","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":"11aa2632e88d5eaef78b80149dae2beecb87668af96c93864d5e950837dac351","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-08T07:38:45Z","title_canon_sha256":"7a096bf179c4852ba64c7642b3575dfef5753292d764ff1ceba0a2bffeb8ab64"},"schema_version":"1.0","source":{"id":"2502.05478","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.05478","created_at":"2026-07-05T10:11:38Z"},{"alias_kind":"arxiv_version","alias_value":"2502.05478v1","created_at":"2026-07-05T10:11:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.05478","created_at":"2026-07-05T10:11:38Z"},{"alias_kind":"pith_short_12","alias_value":"ZMSDXR6ADU7K","created_at":"2026-07-05T10:11:38Z"},{"alias_kind":"pith_short_16","alias_value":"ZMSDXR6ADU7KP6YB","created_at":"2026-07-05T10:11:38Z"},{"alias_kind":"pith_short_8","alias_value":"ZMSDXR6A","created_at":"2026-07-05T10:11:38Z"}],"graph_snapshots":[{"event_id":"sha256:ad0e7ef2d738fbb125ddada37c2f5f2523fb59f8758e19c897f54cad0c00564e","target":"graph","created_at":"2026-07-05T10:11:38Z","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/2502.05478/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing domain-specific Large Language Models (LLMs) are typically developed by fine-tuning general-purposed LLMs with large-scale domain-specific corpora. However, training on large-scale corpora often fails to effectively organize domain knowledge of LLMs, leading to fragmented understanding. Inspired by how humans connect concepts and organize knowledge through mind maps, we aim to emulate this approach by using ontology with hierarchical conceptual knowledge to reorganize LLM's domain knowledge. From this perspective, we propose an ontology-driven self-training framework called OntoTune, ","authors_text":"Chengtao Gan, Huajun Chen, Junjie Wang, Mengshu Sun, Wen Zhang, Yichi Zhang, Zhiqiang Liu, Zhongpu Bo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-08T07:38:45Z","title":"OntoTune: Ontology-Driven Self-training for Aligning Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.05478","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:bbd53e9ccd61d02fa1fcd5d0faa06bc2c94ebfaf60db4f74645cd0469a6dde29","target":"record","created_at":"2026-07-05T10:11:38Z","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":"11aa2632e88d5eaef78b80149dae2beecb87668af96c93864d5e950837dac351","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-08T07:38:45Z","title_canon_sha256":"7a096bf179c4852ba64c7642b3575dfef5753292d764ff1ceba0a2bffeb8ab64"},"schema_version":"1.0","source":{"id":"2502.05478","kind":"arxiv","version":1}},"canonical_sha256":"cb243bc7c01d3ea7fb0112bfd6ce109b20661d756d4bbbb1ecfba9eba92a402a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cb243bc7c01d3ea7fb0112bfd6ce109b20661d756d4bbbb1ecfba9eba92a402a","first_computed_at":"2026-07-05T10:11:38.788544Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:11:38.788544Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Tfi4McyXFD1w63JTnnYtkryVyyZEQZfzXeKR73rSBI6JiSvtV+HCVd2zzWEfbH1kncfjg6+iUUhwDFM5U21hBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:11:38.788988Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.05478","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bbd53e9ccd61d02fa1fcd5d0faa06bc2c94ebfaf60db4f74645cd0469a6dde29","sha256:ad0e7ef2d738fbb125ddada37c2f5f2523fb59f8758e19c897f54cad0c00564e"],"state_sha256":"e4a6ccde31ba052d42c809606cfb2b6e4db30eb637debacbcdc01518a1dd03c0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uMQsQ2cNlIvv3zsTmlcR3qZcc11+/sA8Tha42t570/DApWUm7RxMGlhhe+ZNNefgXcxilZ5oxavwWeCTZOEVCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T01:04:54.824954Z","bundle_sha256":"28c4c71362b73aef5f21a91b3cc091a385b0a47e5e8fd6b983bfe46a3401d463"}}