{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:YXSY7ZHGEUPFZHECDBYQUD5GWQ","short_pith_number":"pith:YXSY7ZHG","canonical_record":{"source":{"id":"2402.07877","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-02-12T18:41:55Z","cross_cats_sorted":[],"title_canon_sha256":"0271937c33b494eea80438d4f436c7e6dd9ae805e5b3ab10daac4526e9386fe7","abstract_canon_sha256":"75abb60b17f786cae58628eb7a86e035d44ed38a7c820ab76a317eb4e68e96a9"},"schema_version":"1.0"},"canonical_sha256":"c5e58fe4e6251e5c9c8218710a0fa6b40e6f027a72b382c5513fa5c375364dd3","source":{"kind":"arxiv","id":"2402.07877","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.07877","created_at":"2026-07-05T10:52:36Z"},{"alias_kind":"arxiv_version","alias_value":"2402.07877v4","created_at":"2026-07-05T10:52:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.07877","created_at":"2026-07-05T10:52:36Z"},{"alias_kind":"pith_short_12","alias_value":"YXSY7ZHGEUPF","created_at":"2026-07-05T10:52:36Z"},{"alias_kind":"pith_short_16","alias_value":"YXSY7ZHGEUPFZHEC","created_at":"2026-07-05T10:52:36Z"},{"alias_kind":"pith_short_8","alias_value":"YXSY7ZHG","created_at":"2026-07-05T10:52:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:YXSY7ZHGEUPFZHECDBYQUD5GWQ","target":"record","payload":{"canonical_record":{"source":{"id":"2402.07877","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-02-12T18:41:55Z","cross_cats_sorted":[],"title_canon_sha256":"0271937c33b494eea80438d4f436c7e6dd9ae805e5b3ab10daac4526e9386fe7","abstract_canon_sha256":"75abb60b17f786cae58628eb7a86e035d44ed38a7c820ab76a317eb4e68e96a9"},"schema_version":"1.0"},"canonical_sha256":"c5e58fe4e6251e5c9c8218710a0fa6b40e6f027a72b382c5513fa5c375364dd3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:52:36.365877Z","signature_b64":"uPvJ1bV+vxY/6cnwE26kTV1qqGMUjlhVEdZG2S13I3v6QCjxSF7aTPqgcrXgPZ9LipQuBYT3NeJ+ogiaHX0nCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c5e58fe4e6251e5c9c8218710a0fa6b40e6f027a72b382c5513fa5c375364dd3","last_reissued_at":"2026-07-05T10:52:36.365360Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:52:36.365360Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.07877","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:52:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0rId59ZV4fyO7TqSFBklbp2TrOgV3EC+pPtYAqIh32mo11LyTSgK0u4Eu8zPyMe2BHRB6P5xhMP0hCx6pAf7CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:10:26.174782Z"},"content_sha256":"fd17acbe051d8811e5f1eb0ce69f1db2a1e91cd1836bc48675401e25657be63e","schema_version":"1.0","event_id":"sha256:fd17acbe051d8811e5f1eb0ce69f1db2a1e91cd1836bc48675401e25657be63e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:YXSY7ZHGEUPFZHECDBYQUD5GWQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"WildfireGPT: Tailored Large Language Model for Wildfire Analysis","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Bowen Jiang, Camillo J. Taylor, Duane R. Verner, John K. Hutchison, Jordan Branham, Joshua David Bergerson, Leslie-Anne Levy, M. Ross Alexander, Robert B. Ross, Tanwi Mallick, Weijie Su, Yan Feng, Yangxinyu Xie","submitted_at":"2024-02-12T18:41:55Z","abstract_excerpt":"Recent advancement of large language models (LLMs) represents a transformational capability at the frontier of artificial intelligence. However, LLMs are generalized models, trained on extensive text corpus, and often struggle to provide context-specific information, particularly in areas requiring specialized knowledge, such as wildfire details within the broader context of climate change. For decision-makers focused on wildfire resilience and adaptation, it is crucial to obtain responses that are not only precise but also domain-specific. To that end, we developed WildfireGPT, a prototype LL"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.07877","kind":"arxiv","version":4},"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/2402.07877/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":"2026-07-05T10:52:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sJobInti4dsR59oaQENJ5rhXck3D+rLObX1oWHbGdZSA12nmh6qPd5bIroZf9Q9qacJEWPDZ0876fer/QvYVBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:10:26.175152Z"},"content_sha256":"626ec49c22f098b2b05e3ce8b2939af8ab3f5bf9362a7d26d4a42376443897ee","schema_version":"1.0","event_id":"sha256:626ec49c22f098b2b05e3ce8b2939af8ab3f5bf9362a7d26d4a42376443897ee"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YXSY7ZHGEUPFZHECDBYQUD5GWQ/bundle.json","state_url":"https://pith.science/pith/YXSY7ZHGEUPFZHECDBYQUD5GWQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YXSY7ZHGEUPFZHECDBYQUD5GWQ/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":"2026-07-07T08:10:26Z","links":{"resolver":"https://pith.science/pith/YXSY7ZHGEUPFZHECDBYQUD5GWQ","bundle":"https://pith.science/pith/YXSY7ZHGEUPFZHECDBYQUD5GWQ/bundle.json","state":"https://pith.science/pith/YXSY7ZHGEUPFZHECDBYQUD5GWQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YXSY7ZHGEUPFZHECDBYQUD5GWQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YXSY7ZHGEUPFZHECDBYQUD5GWQ","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":"75abb60b17f786cae58628eb7a86e035d44ed38a7c820ab76a317eb4e68e96a9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-02-12T18:41:55Z","title_canon_sha256":"0271937c33b494eea80438d4f436c7e6dd9ae805e5b3ab10daac4526e9386fe7"},"schema_version":"1.0","source":{"id":"2402.07877","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.07877","created_at":"2026-07-05T10:52:36Z"},{"alias_kind":"arxiv_version","alias_value":"2402.07877v4","created_at":"2026-07-05T10:52:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.07877","created_at":"2026-07-05T10:52:36Z"},{"alias_kind":"pith_short_12","alias_value":"YXSY7ZHGEUPF","created_at":"2026-07-05T10:52:36Z"},{"alias_kind":"pith_short_16","alias_value":"YXSY7ZHGEUPFZHEC","created_at":"2026-07-05T10:52:36Z"},{"alias_kind":"pith_short_8","alias_value":"YXSY7ZHG","created_at":"2026-07-05T10:52:36Z"}],"graph_snapshots":[{"event_id":"sha256:626ec49c22f098b2b05e3ce8b2939af8ab3f5bf9362a7d26d4a42376443897ee","target":"graph","created_at":"2026-07-05T10:52:36Z","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/2402.07877/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancement of large language models (LLMs) represents a transformational capability at the frontier of artificial intelligence. However, LLMs are generalized models, trained on extensive text corpus, and often struggle to provide context-specific information, particularly in areas requiring specialized knowledge, such as wildfire details within the broader context of climate change. For decision-makers focused on wildfire resilience and adaptation, it is crucial to obtain responses that are not only precise but also domain-specific. To that end, we developed WildfireGPT, a prototype LL","authors_text":"Bowen Jiang, Camillo J. Taylor, Duane R. Verner, John K. Hutchison, Jordan Branham, Joshua David Bergerson, Leslie-Anne Levy, M. Ross Alexander, Robert B. Ross, Tanwi Mallick, Weijie Su, Yan Feng, Yangxinyu Xie","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-02-12T18:41:55Z","title":"WildfireGPT: Tailored Large Language Model for Wildfire Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.07877","kind":"arxiv","version":4},"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:fd17acbe051d8811e5f1eb0ce69f1db2a1e91cd1836bc48675401e25657be63e","target":"record","created_at":"2026-07-05T10:52:36Z","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":"75abb60b17f786cae58628eb7a86e035d44ed38a7c820ab76a317eb4e68e96a9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-02-12T18:41:55Z","title_canon_sha256":"0271937c33b494eea80438d4f436c7e6dd9ae805e5b3ab10daac4526e9386fe7"},"schema_version":"1.0","source":{"id":"2402.07877","kind":"arxiv","version":4}},"canonical_sha256":"c5e58fe4e6251e5c9c8218710a0fa6b40e6f027a72b382c5513fa5c375364dd3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c5e58fe4e6251e5c9c8218710a0fa6b40e6f027a72b382c5513fa5c375364dd3","first_computed_at":"2026-07-05T10:52:36.365360Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:52:36.365360Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uPvJ1bV+vxY/6cnwE26kTV1qqGMUjlhVEdZG2S13I3v6QCjxSF7aTPqgcrXgPZ9LipQuBYT3NeJ+ogiaHX0nCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:52:36.365877Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.07877","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd17acbe051d8811e5f1eb0ce69f1db2a1e91cd1836bc48675401e25657be63e","sha256:626ec49c22f098b2b05e3ce8b2939af8ab3f5bf9362a7d26d4a42376443897ee"],"state_sha256":"94649a1a7b7ff9f48e7763c8034de70eb84fb4c843f343522fbe5ddc3f99cc91"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PtitsDapiQefV3wuP0+q0oKvmtYVSerFEe7Zx71ozPinukqlPEMKBs2ZO5qD9rcxAWqthNmn6/yIaxz0zDWKBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T08:10:26.177235Z","bundle_sha256":"3612fb51867ee1c201d6ecc222489b767698f7bb5bc3ed512780705fb82c4664"}}