{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:PJXMG3PVJ5P27IZ3DTGHNJ2J2B","short_pith_number":"pith:PJXMG3PV","canonical_record":{"source":{"id":"2607.02182","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-02T13:52:12Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"3cee1843582c6b33a5d61364e5cd64d15dbb872df62abd5db553592c0f56a710","abstract_canon_sha256":"4d9f8c67ecf1ab08ffed10869d127612b558cc53b5f2616173f66c88d2ed0e72"},"schema_version":"1.0"},"canonical_sha256":"7a6ec36df54f5fafa33b1ccc76a749d077a7dbce5a3f653d801f8301bb9cf269","source":{"kind":"arxiv","id":"2607.02182","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.02182","created_at":"2026-07-03T01:17:44Z"},{"alias_kind":"arxiv_version","alias_value":"2607.02182v1","created_at":"2026-07-03T01:17:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.02182","created_at":"2026-07-03T01:17:44Z"},{"alias_kind":"pith_short_12","alias_value":"PJXMG3PVJ5P2","created_at":"2026-07-03T01:17:44Z"},{"alias_kind":"pith_short_16","alias_value":"PJXMG3PVJ5P27IZ3","created_at":"2026-07-03T01:17:44Z"},{"alias_kind":"pith_short_8","alias_value":"PJXMG3PV","created_at":"2026-07-03T01:17:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:PJXMG3PVJ5P27IZ3DTGHNJ2J2B","target":"record","payload":{"canonical_record":{"source":{"id":"2607.02182","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-02T13:52:12Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"3cee1843582c6b33a5d61364e5cd64d15dbb872df62abd5db553592c0f56a710","abstract_canon_sha256":"4d9f8c67ecf1ab08ffed10869d127612b558cc53b5f2616173f66c88d2ed0e72"},"schema_version":"1.0"},"canonical_sha256":"7a6ec36df54f5fafa33b1ccc76a749d077a7dbce5a3f653d801f8301bb9cf269","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-03T01:17:44.224793Z","signature_b64":"RtZHRvtnzfBuK5BvwpnsI8wHIaLAntR+Mold0V4kouMWzbWvUD/1F5gFcQTfszuXesC2H0FY+JSKkcxfUK6yAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7a6ec36df54f5fafa33b1ccc76a749d077a7dbce5a3f653d801f8301bb9cf269","last_reissued_at":"2026-07-03T01:17:44.224370Z","signature_status":"signed_v1","first_computed_at":"2026-07-03T01:17:44.224370Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.02182","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":"2026-07-03T01:17:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SSCSeOtisrblFTSstr0RFjgApkiKHlLjZP2N+Qx13tfC+RmwHUK1FYsYfIGAwrHiIWJX739n96U7yhKPU4y7Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T08:18:28.119933Z"},"content_sha256":"1ce6ba0cef4104ca49ace8c41467d4b954e6b7d5d63e216c6e78468c6ff382f7","schema_version":"1.0","event_id":"sha256:1ce6ba0cef4104ca49ace8c41467d4b954e6b7d5d63e216c6e78468c6ff382f7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:PJXMG3PVJ5P27IZ3DTGHNJ2J2B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bayesian Sparse Low-Rank Adaptation for Large Language Model Uncertainty Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.LG","authors_text":"Dandan Guo, Jijie Zhang, Quan Zhang, Zhe Ren","submitted_at":"2026-07-02T13:52:12Z","abstract_excerpt":"Large language models (LLMs) exhibit remarkable reasoning capabilities, but their task-specific fine-tuning is notoriously plagued by overconfidence, severely hindering trustworthy deployment. We propose Data-Adaptive Lower-Rank Adaptation (DALorRA), a simple and effective variational Bayesian sparse framework that shifts the paradigm of uncertainty quantification from the dense parameter space to the lightweight rank level of low-rank adaptation (LoRA). With the insight that LoRA essentially aggregates multiple rank-one components that may provide superfluous model capacity, DALorRA imposes s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.02182","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/2607.02182/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":"2026-07-03T01:17:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0W8rFlo6EtfmNbj/7vBkR+P3l+ikcYqFAtg4KgXUv4o/kP7Z66bKIbrJvclAfKBTX1H+cpqBNvFTA13Q6+DhDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T08:18:28.120305Z"},"content_sha256":"2b0c6538211b1390e96581c57f4dec51f67938b285102dce4c67bfcb02eaec78","schema_version":"1.0","event_id":"sha256:2b0c6538211b1390e96581c57f4dec51f67938b285102dce4c67bfcb02eaec78"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PJXMG3PVJ5P27IZ3DTGHNJ2J2B/bundle.json","state_url":"https://pith.science/pith/PJXMG3PVJ5P27IZ3DTGHNJ2J2B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PJXMG3PVJ5P27IZ3DTGHNJ2J2B/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":"2026-07-04T08:18:28Z","links":{"resolver":"https://pith.science/pith/PJXMG3PVJ5P27IZ3DTGHNJ2J2B","bundle":"https://pith.science/pith/PJXMG3PVJ5P27IZ3DTGHNJ2J2B/bundle.json","state":"https://pith.science/pith/PJXMG3PVJ5P27IZ3DTGHNJ2J2B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PJXMG3PVJ5P27IZ3DTGHNJ2J2B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PJXMG3PVJ5P27IZ3DTGHNJ2J2B","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":"4d9f8c67ecf1ab08ffed10869d127612b558cc53b5f2616173f66c88d2ed0e72","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-02T13:52:12Z","title_canon_sha256":"3cee1843582c6b33a5d61364e5cd64d15dbb872df62abd5db553592c0f56a710"},"schema_version":"1.0","source":{"id":"2607.02182","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.02182","created_at":"2026-07-03T01:17:44Z"},{"alias_kind":"arxiv_version","alias_value":"2607.02182v1","created_at":"2026-07-03T01:17:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.02182","created_at":"2026-07-03T01:17:44Z"},{"alias_kind":"pith_short_12","alias_value":"PJXMG3PVJ5P2","created_at":"2026-07-03T01:17:44Z"},{"alias_kind":"pith_short_16","alias_value":"PJXMG3PVJ5P27IZ3","created_at":"2026-07-03T01:17:44Z"},{"alias_kind":"pith_short_8","alias_value":"PJXMG3PV","created_at":"2026-07-03T01:17:44Z"}],"graph_snapshots":[{"event_id":"sha256:2b0c6538211b1390e96581c57f4dec51f67938b285102dce4c67bfcb02eaec78","target":"graph","created_at":"2026-07-03T01:17:44Z","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/2607.02182/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) exhibit remarkable reasoning capabilities, but their task-specific fine-tuning is notoriously plagued by overconfidence, severely hindering trustworthy deployment. We propose Data-Adaptive Lower-Rank Adaptation (DALorRA), a simple and effective variational Bayesian sparse framework that shifts the paradigm of uncertainty quantification from the dense parameter space to the lightweight rank level of low-rank adaptation (LoRA). With the insight that LoRA essentially aggregates multiple rank-one components that may provide superfluous model capacity, DALorRA imposes s","authors_text":"Dandan Guo, Jijie Zhang, Quan Zhang, Zhe Ren","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-02T13:52:12Z","title":"Bayesian Sparse Low-Rank Adaptation for Large Language Model Uncertainty Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.02182","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":"sha256:1ce6ba0cef4104ca49ace8c41467d4b954e6b7d5d63e216c6e78468c6ff382f7","target":"record","created_at":"2026-07-03T01:17:44Z","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":"4d9f8c67ecf1ab08ffed10869d127612b558cc53b5f2616173f66c88d2ed0e72","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-02T13:52:12Z","title_canon_sha256":"3cee1843582c6b33a5d61364e5cd64d15dbb872df62abd5db553592c0f56a710"},"schema_version":"1.0","source":{"id":"2607.02182","kind":"arxiv","version":1}},"canonical_sha256":"7a6ec36df54f5fafa33b1ccc76a749d077a7dbce5a3f653d801f8301bb9cf269","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7a6ec36df54f5fafa33b1ccc76a749d077a7dbce5a3f653d801f8301bb9cf269","first_computed_at":"2026-07-03T01:17:44.224370Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-03T01:17:44.224370Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RtZHRvtnzfBuK5BvwpnsI8wHIaLAntR+Mold0V4kouMWzbWvUD/1F5gFcQTfszuXesC2H0FY+JSKkcxfUK6yAA==","signature_status":"signed_v1","signed_at":"2026-07-03T01:17:44.224793Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.02182","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1ce6ba0cef4104ca49ace8c41467d4b954e6b7d5d63e216c6e78468c6ff382f7","sha256:2b0c6538211b1390e96581c57f4dec51f67938b285102dce4c67bfcb02eaec78"],"state_sha256":"5ce4e852742d4d41d09dedb2ae7e9d030df323131b7ed97b6568f329384a9086"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4DNzUqEWoLjqzIbSq6dwcHiGbh3nvlySUQFdc+jr6H1Kp2edSycrf62I+j16yNmjduEG73vU1lALmyL6HlDJBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T08:18:28.122287Z","bundle_sha256":"4b2be31dcc2ae57e674f5148847f78298f917c0af687b4191d4226c30369d1b5"}}