Paper Citation Record · LEDGER

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models

As of 15 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2501.15144.

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

pith.paper-citation-record.v1
2501.15144 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:38:24.547522Z

measured 28 of 28 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

28 of 28 outbound references displayed

verified exact1
verified fuzzy11
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9600f08-70cc-46cc-8d16-9e5bd6b977ae · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T14:38:24.015154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a930986-248c-450f-9d8e-60d6af521c45 · outbound

This paper cites Alayrac, J.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Alayrac, J

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:38:25.890814Z

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 fe7bcbf2-fa40-4db2-a84a-a1d8bbfed217 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T14:38:24.025536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 940a74c5-8ba4-48df-a740-0a32275092f2 · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models PaliGemma: A versatile 3B VLM for transfer

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T14:38:24.045964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10576d6b-f8c2-49ee-b744-fed08389c296 · outbound

This paper cites Carion, F.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Carion, F

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:38:25.875882Z

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 3c1a8817-28ba-4336-8eb7-c38a2dcd6382 · outbound

This paper cites an unresolved cited work.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:38:25.861327Z

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 4dceec40-7eab-41d6-9659-523db1b678d9 · outbound

This paper cites The Llama 3 Herd of Models.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models The Llama 3 Herd of Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T14:38:24.199332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 238f5e4a-4b42-4556-a9d0-95e355648d00 · outbound

This paper cites an unresolved cited work.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:38:25.654140Z

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 6b657000-0ba8-412d-aa29-55ab72f5b5b0 · outbound

This paper cites an unresolved cited work.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:38:25.639103Z

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 bec82237-c7d1-4272-81e2-49e398be6a08 · outbound

This paper cites Kv and A.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Kv and A

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:38:25.623751Z

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 0977a93c-da7a-4db5-8d65-abb39d5a0576 · outbound

This paper cites an unresolved cited work.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:38:25.609875Z

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 5d547e25-110d-46d1-9a00-7089337b122f · outbound

This paper cites Minervini, A.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Minervini, A

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:38:25.420462Z

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 b1114157-1104-4bb7-a156-a3ff464717d8 · outbound

This paper cites Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:38:24.771826Z

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 d6e0c9c3-502f-4b1d-8630-292561fcc54d · outbound

This paper cites Radford, J.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Radford, J

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:38:25.389601Z

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 4492f9b0-c03f-4c34-9738-dd928133df44 · outbound

This paper cites Vision language models are blind: Failing to translate detailed visual features into words.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Vision language models are blind: Failing to translate detailed visual features into words

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T14:38:24.238672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 235333c6-971a-48ab-9389-ae5ccdd6eb78 · outbound

This paper cites an unresolved cited work.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:38:25.374655Z

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 c63b0f55-e4ae-4d82-a09a-99c4ce743a26 · outbound

This paper cites Salewski, A.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Salewski, A

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:38:25.358212Z

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 96a05e5f-1e9b-4574-be11-c733b22f262a · outbound

This paper cites an unresolved cited work.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:38:25.176242Z

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 6eef9f09-924d-460d-8b05-be5df45f10d9 · outbound

This paper cites FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T14:38:24.505902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1cdf967-880c-4933-8791-c87a16da6ac7 · outbound

This paper cites Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T14:38:24.510393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d08b5476-9cec-49ff-883a-52c4d94ca8a0 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T14:38:24.514755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cb8647d-f12e-44d0-bd35-61754c089210 · outbound

This paper cites Qwen2 Technical Report.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Qwen2 Technical Report

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T14:38:24.519030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a700a717-608f-4fbb-b18d-4bd2b1c7d44b · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T14:38:24.523145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9eea5803-ea97-434c-ace7-79e3569581ad · outbound

This paper cites Specifically, the shape limit is increased to 5–6 shapes per image, and the occlusion limit is also raised to 5–6 shapes.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Specifically, the shape limit is increased to 5–6 shapes per image, and the occlusion limit is also raised to 5–6 shapes

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:38:25.121899Z

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 06aa8683-e30e-4912-a802-ed735ad8f655 · outbound

This paper cites This setup tests the model’s ability to detect and attribute more shapes in configurations that were not present in the training data.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models This setup tests the model’s ability to detect and attribute more shapes in configurations that were not present in the training data

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:38:25.106796Z

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 628f8bf5-7b8d-4947-b61f-b63869b57ebf · outbound

This paper cites This scenario assesses the model’s ability to accurately detect and attribute shapes under previously unseen levels of occlusion.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models This scenario assesses the model’s ability to accurately detect and attribute shapes under previously unseen levels of occlusion

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:38:25.038081Z

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 c0a8e2e7-c228-495c-b296-9ff3fdc85bc8 · outbound

This paper cites The ability to generalize to these out-of-domain rotations Model OD Comp.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models The ability to generalize to these out-of-domain rotations Model OD Comp

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:38:24.879894Z

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 1387a2fc-f641-4791-98f9-ac2311053ecc · outbound

This paper cites Sentence Format Tuple Format MiniCPM-V2.5 Figure S4. Sentence Vs Tuple Output Comparison for MiniCPM-V2.5 Models for Validation Dataset.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Sentence Format Tuple Format MiniCPM-V2.5 Figure S4. Sentence Vs Tuple Output Comparison for MiniCPM-V2.5 Models for Validation Dataset

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:38:24.864409Z

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.

Pith citing papers

No inbound Pith citation observations are available.