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Paper Citation Record · LEDGER

Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2502.16820.

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

pith.paper-citation-record.v1
2502.16820 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:30:27.601696Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:09:45.348643Z

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 9841133e-9d66-4186-b6f0-dca6ea37f65c · inbound

Improving Semantic Uncertainty Quantification in LVLMs with Semantic Gaussian Processes cites this paper.

Improving Semantic Uncertainty Quantification in LVLMs with Semantic Gaussian Processes Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T16:16:22.653456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:16:22.653456Z digest=sha256:8e27c03330f375eca593d1e0bb49dc99af85aeeac230eea8df592d8e522f4930

Observation b21b03e3-5de3-43a9-a222-1b134b0aab5f · inbound

Are LLM Uncertainty and Correctness Encoded by the Same Features? A Functional Dissociation via Sparse Autoencoders cites this paper.

Are LLM Uncertainty and Correctness Encoded by the Same Features? A Functional Dissociation via Sparse Autoencoders Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-10T02:53:29.630450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-10T02:51:12.492123Z digest=sha256:ebf32bf24f60ed166a06e94c6db3eb13c72f3f35072635213b97db05c85ea7d0

Observation 6b4482ea-2175-466f-b606-e9f6b71c4254 · inbound

Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models cites this paper.

Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses

Reference 74

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T00:41:26.498733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-07T14:29:18.348031Z digest=sha256:2c7707d91a5c97949b75f907e2c93d58c9bce0fbf6b86b63dcb6687b7156f1fa

Observation a64dbff9-bc1a-461a-acb5-88502c58753e · inbound

Position: Uncertainty Quantification in LLMs is Just Unsupervised Clustering cites this paper.

Position: Uncertainty Quantification in LLMs is Just Unsupervised Clustering Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-20T06:58:06.242711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-20T06:53:44.993529Z digest=sha256:270268bafbd7fb45c70366c1d6df19848bbe60ff0a39c26c9382f88f677de80a

Observation 53c01950-b36a-457c-94df-d5dae2398397 · inbound

Quantifying Consistency in LLM Logical Reasoning via Structural Uncertainty cites this paper.

Quantifying Consistency in LLM Logical Reasoning via Structural Uncertainty Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses

Reference 2

Resolution
malformed identifier
arxiv_id, observed 2026-07-03T18:08:46.641677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T03:18:22.813002Z digest=sha256:d7f4465ea8fcdf38ef62db793ae1c946fd62205b89cdf867031c881470b02db1

Observation 3c1bd5c8-423e-4460-89f2-d721dbc0aa9a · inbound

A Systematic Evaluation of Black-Box Uncertainty Estimation Methods for Large Language Models cites this paper.

A Systematic Evaluation of Black-Box Uncertainty Estimation Methods for Large Language Models Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:39:30.641767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T17:46:00.822375Z digest=sha256:4e31de013a4bbf6b705209a1d1682364fb915be4f9ae7a56b514e9719b1f9d40

Observation 3f83070e-ee5d-4277-9d6f-cc529db5c67b · inbound

The Origins of Stochasticity: Comprehensive Investigations on Uncertainty Quantification for Large Language Models cites this paper.

The Origins of Stochasticity: Comprehensive Investigations on Uncertainty Quantification for Large Language Models Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:09:45.350220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T09:05:08.641544Z digest=sha256:aa1e4e5a81b1ed5266a89eb290797033122bce02a3950721c5577b73548b3f34

Observation c2fd3d0f-4391-45b3-b82d-7f3973e4da6d · inbound

Attention-Path Fragility as an Uncertainty Signal in Large Language Models cites this paper.

Attention-Path Fragility as an Uncertainty Signal in Large Language Models Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T05:30:27.601696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:30:27.601696Z digest=sha256:767c7416d8048064a98b62f96616e2720ebdef6d58fd7123fe04749723912fd9