Paper Citation Record · LEDGER

BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.11675.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2406.11675 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:31:49.705093Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-22T14:01:38.490256Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0b88e42a-dc45-4c3c-b90a-d7eb61b90889 · inbound

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation cites this paper.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T21:57:15.855752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02811b7f-ce75-472e-8826-e069f9f88e21 · inbound

Calibrating LLMs with Information-Theoretic Evidential Deep Learning cites this paper.

Calibrating LLMs with Information-Theoretic Evidential Deep Learning BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T15:50:05.883949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf6c3e31-2c63-4524-b22b-a566ec5dd741 · inbound

Random-Set Large Language Models cites this paper.

Random-Set Large Language Models BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:49.705093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b92fa44-e8bd-401b-b39b-0aabb47715de · inbound

Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know' cites this paper.

Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know' BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models

Reference 253

Resolution: unresolved; no resolver link, observed 2026-08-15T23:21:14.006175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dce899a5-6e22-4480-84f0-2c57615ddc70 · inbound

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning cites this paper.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.492763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 39e14942-0499-453f-9355-cf55f1bdf2c0 · inbound

Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models cites this paper.

Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:28.033956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.