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Paper Citation Record · LEDGER

Uncertainty-Aware Evaluation for Vision-Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.14418.

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

pith.paper-citation-record.v1
2402.14418 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 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:23:05.839628Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:50:10.509380Z

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 2ad07052-684b-44ee-8cb7-8b6d86770c9f · inbound

Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models cites this paper.

Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models Uncertainty-Aware Evaluation for Vision-Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-08T18:23:05.839628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:23:05.839628Z digest=sha256:5a81be460ef60c34fc2a942180a1945a218a7fe464d8f3e0d7c5d04449a2b64f

Observation cb3082b7-a984-4d11-9b51-94345670eaf9 · inbound

PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models cites this paper.

PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models Uncertainty-Aware Evaluation for Vision-Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T11:12:03.423936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:12:03.423936Z digest=sha256:837ee11b10d20cb787f5148585a3b4a368e6810ee481454fd0fb5fcd1d71c55b

Observation 0e39c86d-73b3-4325-90ed-5e9d9c28892d · inbound

Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications cites this paper.

Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications Uncertainty-Aware Evaluation for Vision-Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T16:39:49.215849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:39:49.215849Z digest=sha256:db3089d8032ac3633fd5e8184d142961a4b5f87c842a4264cbebf98091d37df4

Observation e6a25f59-aab6-4b2f-8e2e-9ee7b25f1692 · inbound

Conformal Sets in Multiple-Choice Question Answering under Black-Box Settings with Provable Coverage Guarantees cites this paper.

Conformal Sets in Multiple-Choice Question Answering under Black-Box Settings with Provable Coverage Guarantees Uncertainty-Aware Evaluation for Vision-Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T23:21:17.195657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:21:17.195657Z digest=sha256:0a6ef048e13019aaec4be57243c11d068fb1247d319d07bd8b41381a2b379529

Observation 39280975-ba2e-4c1b-816a-b56562c4077e · 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-Aware Evaluation for Vision-Language Models

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:41:26.534101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T14:29:18.348031Z digest=sha256:22a275a2c9ddeca83f0e2e280a9e03ad44b7a9850998ccd267bed58f06d48e25

Observation a49c3ca1-3943-458b-94b0-d16b4dfe94cf · inbound

Geometry-Calibrated Conformal Abstention for Language Models cites this paper.

Geometry-Calibrated Conformal Abstention for Language Models Uncertainty-Aware Evaluation for Vision-Language Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:31:28.701631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T05:56:03.031192Z digest=sha256:a4b30ec70065be4de65eaee9dbc1c70fd8f99a02334cea3d7fd283e634c8c6ce

Observation 0c9fe674-cfd6-4f0f-b118-c3aaa0d79c3c · inbound

Reasoning Portability: Guiding Continual Learning for MLLMs in the RLVR Era cites this paper.

Reasoning Portability: Guiding Continual Learning for MLLMs in the RLVR Era Uncertainty-Aware Evaluation for Vision-Language Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:33:19.297814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T13:29:11.509966Z digest=sha256:ff6f07c4c6fde5bf0c2ecf9f50b22f25fa472ac9002593fbe7cff8832889be42

Observation 087c02b9-ac2d-4bc6-b4a3-5162db8424f9 · inbound

Uncertainty Quantification for Computer-Use Agents: A Benchmark across Vision-Language Models and GUI Grounding Datasets cites this paper.

Uncertainty Quantification for Computer-Use Agents: A Benchmark across Vision-Language Models and GUI Grounding Datasets Uncertainty-Aware Evaluation for Vision-Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:50:10.511690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T20:59:47.212513Z digest=sha256:689c105afe8a7e1ab4b746761a6a169415cc9fbe10fd9c9c38e26b852afe0caf