Paper Citation Record · LEDGER

Improving Large Vision-Language Models' Understanding for Flow Field Data

As of 21 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2507.18311.

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

pith.paper-citation-record.v1
2507.18311 v3

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:18:22.977826Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

35 of 35 outbound references displayed

verified exact0
verified fuzzy12
unresolved23
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b7a53e9-ee06-4bb7-8ca5-c4a91cf55b41 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Learning transferable visual models from natural language supervision,

Reference 1

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Source-reported events for the cited work

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Observation 0a273a13-3da5-4327-9ac7-555932e58ae2 · outbound

This paper cites Florence: A New Foundation Model for Computer Vision.

Improving Large Vision-Language Models' Understanding for Flow Field Data Florence: A New Foundation Model for Computer Vision

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T18:18:21.676118Z

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Observation 95f53601-84a5-4dae-a50a-68b5638b68fa · outbound

This paper cites Grounded language-image pre-training,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Grounded language-image pre-training,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:18:24.748835Z

Source-reported events for the cited work

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Observation 9b0c6902-b4e7-4d24-92da-06e1dcecd7fe · outbound

This paper cites Regionclip: Region-based language-image pretraining,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Regionclip: Region-based language-image pretraining,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:18:24.715325Z

Source-reported events for the cited work

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Observation a79780fd-d54b-496e-9ae9-79357d68a275 · outbound

This paper cites Generalized decoding for pixel, image, and language,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Generalized decoding for pixel, image, and language,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:18:24.607101Z

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Observation 14a56748-080c-4cb3-b5d8-503c0dd48e8f · outbound

This paper cites Language-driven Semantic Segmentation.

Improving Large Vision-Language Models' Understanding for Flow Field Data Language-driven Semantic Segmentation

Reference 6

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Source-reported events for the cited work

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Observation c6611f54-0e5d-4733-997e-a176473d1bb6 · outbound

This paper cites Qwen2.5-VL Technical Report.

Improving Large Vision-Language Models' Understanding for Flow Field Data Qwen2.5-VL Technical Report

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T18:18:21.810989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bda556c5-e5a4-4d41-9738-47a0c7303e89 · outbound

This paper cites Taming transformers for high- resolution image synthesis,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Taming transformers for high- resolution image synthesis,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T18:18:21.821249Z

Source-reported events for the cited work

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Observation e48aba71-56c9-467b-bed9-b63dd2512219 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 9

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Source-reported events for the cited work

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Observation 3f69028a-45fe-4e10-bb29-65c6860091fa · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 10

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Source-reported events for the cited work

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Observation dd41f4d7-ed7c-4c70-90eb-49376a5443a8 · outbound

This paper cites Improving language understanding by generative pre-training,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Improving language understanding by generative pre-training,

Reference 11

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Observation f5519ddc-d98e-468f-b61f-08a692b0c4e8 · outbound

This paper cites Language mod- els are few-shot learners,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Language mod- els are few-shot learners,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T18:18:22.110573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13aa76bf-a208-4907-a1b9-6de632b9aa81 · outbound

This paper cites Palm: Scal- ing language modeling with pathways,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Palm: Scal- ing language modeling with pathways,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T18:18:22.188247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 246fc5a2-1785-4aa5-bb64-151f70404f48 · outbound

This paper cites Training language models to follow instructions with human feedback,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Training language models to follow instructions with human feedback,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T18:18:22.263075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a09ef39-ea11-427c-ab75-7e01eab04c1e · outbound

This paper cites Role of chat gpt in public health,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Role of chat gpt in public health,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:18:24.355815Z

Source-reported events for the cited work

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Observation 6b74f596-2779-428d-bde7-6246807a18e9 · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Scaling up visual and vision-language representation learning with noisy text supervision,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T18:18:22.273092Z

Source-reported events for the cited work

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Observation 0b3b4db8-8132-4af8-ba1c-ba84e5d74687 · outbound

This paper cites Visual instruction tuning,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Visual instruction tuning,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T18:18:22.279741Z

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Observation 137f4753-54f9-439a-a2d7-39fbc1e6e486 · outbound

This paper cites Instructblip: Towards general-purpose vision- language models with instruction tuning,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Instructblip: Towards general-purpose vision- language models with instruction tuning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:18:24.214296Z

Source-reported events for the cited work

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Observation 0caab068-45d5-4033-bea0-25fdbaf689a2 · outbound

This paper cites The art of artificial intelligence: Themes and case studies of knowledge engineering,.

Improving Large Vision-Language Models' Understanding for Flow Field Data The art of artificial intelligence: Themes and case studies of knowledge engineering,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:18:24.188510Z

Source-reported events for the cited work

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Observation 4788aa79-1087-49ea-8ad2-5b2cabdbbfe0 · outbound

This paper cites Large language models for scientific discovery in molecular property prediction,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Large language models for scientific discovery in molecular property prediction,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:18:24.163107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 42ab902f-4ecf-46cc-b18e-919769ae09d1 · outbound

This paper cites Unsupervised word embeddings capture latent knowledge from materials science literature,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Unsupervised word embeddings capture latent knowledge from materials science literature,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:18:24.064530Z

Source-reported events for the cited work

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Observation 33be2691-f9e8-4dc1-9aca-423a9c35ea40 · outbound

This paper cites Highly accurate protein structure prediction with alphafold,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Highly accurate protein structure prediction with alphafold,

Reference 22

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Source-reported events for the cited work

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Observation 4ad6e46b-0f0a-4f94-97e1-f89ca7eeef61 · outbound

This paper cites Improving clip training with language rewrites,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Improving clip training with language rewrites,

Reference 23

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Observation ad7a91b9-c93e-46ca-a428-254cb2d68e6c · outbound

This paper cites Datacomp: In search of the next generation of multimodal datasets,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Datacomp: In search of the next generation of multimodal datasets,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:18:23.894751Z

Source-reported events for the cited work

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Observation 9c32cad9-26a6-4faa-84fd-928d4f677761 · outbound

This paper cites From scarcity to efficiency: Improving clip training via visual-enriched captions,.

Improving Large Vision-Language Models' Understanding for Flow Field Data From scarcity to efficiency: Improving clip training via visual-enriched captions,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:18:23.707326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 12bbb6a0-4206-4baf-a944-e4312bcf8894 · outbound

This paper cites Improv- ing multimodal datasets with image captioning,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Improv- ing multimodal datasets with image captioning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:18:23.597154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9e39ce4d-bccf-4ca9-a8c8-cf7d455a03c8 · outbound

This paper cites Conceptual 12m: Pushing web-scale image-text pre-training to recognize long-tail visual concepts,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Conceptual 12m: Pushing web-scale image-text pre-training to recognize long-tail visual concepts,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T18:18:22.802016Z

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Observation 5d1a63a6-2e68-42a1-af6a-21185ecef5a1 · outbound

This paper cites Laion- 5b: An open large-scale dataset for training next generation image-text models,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Laion- 5b: An open large-scale dataset for training next generation image-text models,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T18:18:22.812432Z

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Unavailable: canonical work link unavailable.

Observation 3e6bbfb4-c8d0-4fd9-bc3e-2d01cff555f5 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

Improving Large Vision-Language Models' Understanding for Flow Field Data DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T18:18:22.820665Z

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Observation 21c45bc8-f1c9-4a5f-bb7c-8f53f2718f19 · outbound

This paper cites Deep residual learning for image recognition,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Deep residual learning for image recognition,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T18:18:22.827517Z

Source-reported events for the cited work

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Observation 8e924263-64ba-400c-9332-909cd2dd9d82 · outbound

This paper cites Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection,.

Improving Large Vision-Language Models' Understanding for Flow Field Data Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T18:18:22.835651Z

Source-reported events for the cited work

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Observation 934a687b-28e1-4b5a-961e-e7d6520966cc · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Improving Large Vision-Language Models' Understanding for Flow Field Data Lora: Low-rank adaptation of large language models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T18:18:22.918407Z

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Observation 6894e678-b195-4d0e-93bc-2d265002a1c7 · outbound

This paper cites [Online].

Improving Large Vision-Language Models' Understanding for Flow Field Data [Online]

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:18:23.388167Z

Source-reported events for the cited work

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Observation 18cb63fa-bd58-41a9-9cc8-ed2b1677ee81 · outbound

This paper cites FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries.

Improving Large Vision-Language Models' Understanding for Flow Field Data FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T18:18:22.934531Z

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Observation 79bb54be-9909-43ac-b3de-af478645efdb · outbound

This paper cites CFDBench: A Large-Scale Benchmark for Machine Learning Methods in Fluid Dynamics.

Improving Large Vision-Language Models' Understanding for Flow Field Data CFDBench: A Large-Scale Benchmark for Machine Learning Methods in Fluid Dynamics

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T18:18:22.977826Z

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Pith citing papers

No inbound Pith citation observations are available.