Paper Citation Record · LEDGER

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models

As of 15 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2505.20236.

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

pith.paper-citation-record.v1
2505.20236 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:01:25.978139Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

verified exact1
verified fuzzy0
unresolved43
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 577c4f42-b60b-44d0-bc42-e6663dffb170 · outbound

This paper cites Pixtral 12B.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Pixtral 12B

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:22.013740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8bd690b-7249-45e7-9db2-74af12102b38 · outbound

This paper cites Qwen2.5-VL Technical Report.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Qwen2.5-VL Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:22.100408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 368f3ad0-0e61-4f1a-be60-79e97a696b23 · outbound

This paper cites an unresolved cited work.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:01:27.934825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 46b8f820-b59d-47cc-9e92-8bb0df96f279 · outbound

This paper cites VoiceBench: Benchmarking LLM-Based Voice Assistants.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models VoiceBench: Benchmarking LLM-Based Voice Assistants

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:22.298371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a8a4407-06e2-42a4-a39d-1c84d66a1c4a · outbound

This paper cites an unresolved cited work.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:01:27.635100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c52f5b08-33f5-4921-a7eb-fdd7fb77eefd · outbound

This paper cites Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:22.483974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0584dd42-db82-4da3-bdb9-921479950611 · outbound

This paper cites an unresolved cited work.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:22.586032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 520fad86-b4f8-4cbc-82cd-e83f17e10919 · outbound

This paper cites an unresolved cited work.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:22.692185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 839f82ac-2372-4ace-ae8b-7ca6f029ae5a · outbound

This paper cites IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:22.788224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0186ef2-f6bd-45a8-b24c-b4e3f6cb4faa · outbound

This paper cites The Llama 3 Herd of Models.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models The Llama 3 Herd of Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:22.912852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbe1f2cb-9467-4b61-be0e-41a1325d5fe6 · outbound

This paper cites an unresolved cited work.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:23.025879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 783aeaef-3f43-4248-90a0-ca1006418410 · outbound

This paper cites an unresolved cited work.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:23.143535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bf9ee16-4a31-4cbb-a89b-bbbe64aa3707 · outbound

This paper cites Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:23.214406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7a87000-bebd-4d58-9554-fd88f6ea092e · outbound

This paper cites Kimi-VL Technical Report.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Kimi-VL Technical Report

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:23.280081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 660bbce5-be51-4d44-8c54-537bd684d169 · outbound

This paper cites Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:23.379055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4e6d02b-185a-47c8-b668-a2626a337952 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models LLaVA-OneVision: Easy Visual Task Transfer

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:23.443069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8db16a5d-58ee-48fd-b298-057a8c3876c4 · outbound

This paper cites an unresolved cited work.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:23.511582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12de5b99-01a3-4278-83ce-e0e4dd4be166 · outbound

This paper cites Text as Images: Can Multimodal Large Language Models Follow Printed Instructions in Pixels?.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Text as Images: Can Multimodal Large Language Models Follow Printed Instructions in Pixels?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:23.643676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fa8cfb7-796a-42b6-932c-c9a508807abb · outbound

This paper cites Teaching Models to Express Their Uncertainty in Words.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Teaching Models to Express Their Uncertainty in Words

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:23.760219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31ac3cbe-04e4-4174-ae7b-6b35555b57ab · outbound

This paper cites an unresolved cited work.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:23.883414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b1faf96-b556-46f0-a79c-9c9a84189980 · outbound

This paper cites an unresolved cited work.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:23.976050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 421bfe05-7e31-41b5-ad92-4b487724c3f8 · outbound

This paper cites Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:24.087885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bda0b752-27ba-482c-a26b-fef51d8d9cea · outbound

This paper cites Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:24.159098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 784c145e-d28b-486f-8ede-99c514aad554 · outbound

This paper cites Competitive Programming with Large Reasoning Models.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Competitive Programming with Large Reasoning Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:24.248102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1369b012-4f31-40f6-beb0-002c58439b0d · outbound

This paper cites GPT-4o System Card.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models GPT-4o System Card

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:24.321343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 299fdc9e-7526-4e0d-aac4-2a71948a3229 · outbound

This paper cites OpenAI o1 System Card.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models OpenAI o1 System Card

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:24.419906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73f42e94-ba71-46a6-9b1d-6bc050c3a39c · outbound

This paper cites an unresolved cited work.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:24.515708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0e75ab4-d008-43ec-b0e7-367f2f3232d2 · outbound

This paper cites Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:24.600283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29f1d055-0c40-4292-bd67-dbf5c2773828 · outbound

This paper cites Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:24.672118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c7c4b9e-7866-42ff-b8c3-bd4ba4b8fde3 · outbound

This paper cites an unresolved cited work.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:24.745046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96363283-fa5d-4d18-81af-988b2ada11e7 · outbound

This paper cites an unresolved cited work.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:24.847837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9d64c17-4280-444f-b441-c7b5b070541e · outbound

This paper cites an unresolved cited work.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:24.911865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a72a6b96-0e25-4210-bb07-e86db1b9b0f8 · outbound

This paper cites an unresolved cited work.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:01:27.346906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 65e97d08-87bc-493e-a73f-9e4b9d3f9984 · outbound

This paper cites VisualSimpleQA: A Benchmark for Decoupled Evaluation of Large Vision-Language Models in Fact-Seeking Question Answering.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models VisualSimpleQA: A Benchmark for Decoupled Evaluation of Large Vision-Language Models in Fact-Seeking Question Answering

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:01:26.473041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 49fca5c3-60ad-4a8b-8911-1f4f555b816d · outbound

This paper cites Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:25.160503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0023d82c-4754-4593-bf77-e98fe5ffe04f · outbound

This paper cites an unresolved cited work.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:25.253135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32e8d7ba-05ad-43b1-b1ed-a0a1ee967a4e · outbound

This paper cites On Verbalized Confidence Scores for LLMs.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models On Verbalized Confidence Scores for LLMs

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:25.362381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2430b32-9e4a-421e-8186-4e9ec2ca701e · outbound

This paper cites MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:25.453877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e87c8039-d94f-47b3-bd9c-671458260439 · outbound

This paper cites an unresolved cited work.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:25.547974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c62b61a3-1ded-4373-b33f-4ac3ef07d44f · outbound

This paper cites Object-Level Verbalized Confidence Calibration in Vision-Language Models via Semantic Perturbation.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Object-Level Verbalized Confidence Calibration in Vision-Language Models via Semantic Perturbation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:25.677292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38df3b57-ede7-4009-858b-2ca0244844da · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Instruction-Following Evaluation for Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:25.765160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbe0ee83-2b7a-4ec4-b01a-5d9eb00677f7 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:25.854052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 634c2005-6315-4346-a502-bac238a50906 · outbound

This paper cites online" 'onlinestring :=.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models online" 'onlinestring :=

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:25.922314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deb1b7ee-7405-4a9c-bcc0-52673db637c7 · outbound

This paper cites write newline.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models write newline

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:25.978139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.