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Paper Citation Record · LEDGER

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs

As of 15 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 1 inbound Pith citation observation for arXiv:2506.16112.

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

pith.paper-citation-record.v1
2506.16112 v4

Coverage vector

measured 83 of 83 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:49:49.696369Z

measured 84 of 84 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T20:30:26.760966Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T20:33:43.466366Z

Reference resolution

83 of 83 outbound references displayed

  • verified exact0
  • verified fuzzy36
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7fe25a14-8c7b-4afb-9eca-601168e92ea4 · outbound

This paper cites GPT-4 Technical Report.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs GPT-4 Technical Report

Reference 1

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no resolver link, observed 2026-08-06T23:49:42.891796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:42.891796Z digest=sha256:b00fde146d1af96f2a6fe834ca21d379fc7aed1d696ab7a71679a942268cc361

Observation 36c2e79c-68b3-494f-933b-a2b149778869 · outbound

This paper cites Advances in neural information processing systems35, 23716– 23736 (2022) 3.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in neural information processing systems35, 23716– 23736 (2022) 3

Reference 2

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source=pdf_text observed=2026-08-06T23:49:42.964765Z digest=sha256:f13eb7fb3527357eff825a7ca1926a4e2ce2e39c9f1f7f6b015e77eb6b0c83dd

Observation d49e3435-9778-46f7-a840-f549ab1af49f · outbound

This paper cites Qwen Technical Report.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Qwen Technical Report

Reference 3

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source=pdf_text observed=2026-08-06T23:49:43.035119Z digest=sha256:942b34830f1d919ca3c4bd6f20865264300e42c0437e63ac8e7833fc5bde3efa

Observation da979839-586f-462d-ba04-0116d82c64b6 · outbound

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

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:43.092738Z digest=sha256:cd1016032dead3cdd27d024f7b59b3d86d84b87aeb0579be6f8877b864bae215

Observation 7cf4d515-c085-491c-82bd-06387b065e49 · outbound

This paper cites Qwen2.5-VL Technical Report.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Qwen2.5-VL Technical Report

Reference 5

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source=pdf_text observed=2026-08-06T23:49:43.141205Z digest=sha256:6a8cc67291579bb0a38d00693614f472d1fe7e58834d966fc82e37b0679f4734

Observation 8e179af1-4e1f-45ea-ac00-084421a0d89f · outbound

This paper cites Hallucination of Multimodal Large Language Models: A Survey.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Hallucination of Multimodal Large Language Models: A Survey

Reference 6

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no resolver link, observed 2026-08-06T23:49:43.213504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:43.213504Z digest=sha256:faf360d8315014d2700e1c3fcf1cce2dcac7cd2ce9dab332d7d4d4aac8d8f3b0

Observation a9784c3b-4e1f-414f-801d-49f8c2a23183 · outbound

This paper cites Advances in Neural Information Processing Systems35, 32897– 32912 (2022) 4.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in Neural Information Processing Systems35, 32897– 32912 (2022) 4

Reference 7

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source=pdf_text observed=2026-08-06T23:49:43.265263Z digest=sha256:f87bee08188539cbaadba1a6214d66f652bdf43ec0c5a0431a43dea3e262812d

Observation e87c40bf-f302-4557-ba81-14e3622b0c4e · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:43.331057Z digest=sha256:76cef639f767664bfb31a65b337f3a563eeef8018ce8843f27679a6eec10a2e5

Observation 2e217085-a64f-4223-8d5e-8c40acdd66ac · outbound

This paper cites In: Proceedings of the 23nd annual ACM symposium on User interface software and technology.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the 23nd annual ACM symposium on User interface software and technology

Reference 9

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source=pdf_text observed=2026-08-06T23:49:43.384900Z digest=sha256:599bee2ddbdbd4e4677c7ae74600af79841ff0474a5f1dd9087014bd80ec2570

Observation a36d5b5e-ae5e-43fc-b0b0-b1bb2683b57d · outbound

This paper cites Advances in neural information processing systems (2020) 1, 3.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in neural information processing systems (2020) 1, 3

Reference 10

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raw_fallback, observed 2026-08-06T23:49:59.003425Z

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.

source=pdf_text observed=2026-08-06T23:49:43.450799Z digest=sha256:01d388978da02aaa0fd61ddab627a702d646c641f5c23cc34d6c0e656be69089

Observation 914f874d-3450-4c63-bd8c-1c599db95012 · outbound

This paper cites InternLM2 Technical Report.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs InternLM2 Technical Report

Reference 11

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Observation 9248eb51-c5ed-406e-b20d-d727c3cc08d7 · outbound

This paper cites In: European Conference on Computer Vision (2024) 12.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: European Conference on Computer Vision (2024) 12

Reference 12

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raw_fallback, observed 2026-08-06T23:49:58.687727Z

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.

source=pdf_text observed=2026-08-06T23:49:43.562388Z digest=sha256:89d28e210205686f57cd869b531ad68715868d9480f2dbdc8288773db460761a

Observation 858fd5fb-62af-4459-b8f3-76eeaed92172 · outbound

This paper cites an unresolved cited work.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Unresolved cited work

Reference 13

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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.

source=pdf_text observed=2026-08-06T23:49:43.599150Z digest=sha256:f43be1d19fdf8d7a6fc9a6d3a3451970dbe88f623709deeb41f99425dbf6d965

Observation eae2e6e9-8a26-4c41-a43e-76fb5a5feab7 · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:43.648888Z digest=sha256:fad924868fad422886af10d8c05dbd4c38040a18c9bb1db600e9cc1776d72b9f

Observation bf862400-64d9-45d4-a5ea-98172282bd68 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:43.702059Z digest=sha256:71e7c7f37758dd566a4a63cc36604c18e738fe55474e84d6d1f47cae3757f9a2

Observation f57ae639-7fa3-4e4c-a123-a8a8f9ef0006 · outbound

This paper cites InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 16

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source=pdf_text observed=2026-08-06T23:49:43.738406Z digest=sha256:4b617f54159cae54110c42b2f435d92db3526f39d46885f96491ff551c0bf47f

Observation 82e216dd-75c6-400e-a5c2-da9845ca6098 · outbound

This paper cites In: 2009 IEEE conference on computer vision and pattern recognition (2009) 8.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: 2009 IEEE conference on computer vision and pattern recognition (2009) 8

Reference 17

Resolution
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raw_fallback, observed 2026-08-06T23:49:58.361615Z

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.

source=pdf_text observed=2026-08-06T23:49:43.812871Z digest=sha256:4e498a7e7d5e6e6a655014ee2af4d99747842925647d38b041cf9d2b304c5563

Observation ecde50a7-c0ee-4cdb-857d-61267f56d095 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 18

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source=pdf_text observed=2026-08-06T23:49:43.860392Z digest=sha256:fdf37c96679bbb674d55d1cf0cc14e60642b2b393855241bf36351babccb1651

Observation 092e7f00-cc7a-413a-b61c-60fc24abcbc6 · outbound

This paper cites Journal of Machine Learning Research 23(120), 1–39 (2022) 4, 11.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Journal of Machine Learning Research 23(120), 1–39 (2022) 4, 11

Reference 19

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raw_fallback, observed 2026-08-06T23:49:58.084458Z

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.

source=pdf_text observed=2026-08-06T23:49:43.908046Z digest=sha256:4667775a98d2ec1df7efab39062f06eb9c54bb0f5beb4cd2a1105fec8a391e15

Observation 98ea93f1-7055-4be2-b78d-634d3a79f353 · outbound

This paper cites In: European Conference on Computer Vision (2024) 8, 24.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: European Conference on Computer Vision (2024) 8, 24

Reference 20

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raw_fallback, observed 2026-08-06T23:49:57.822148Z

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.

source=pdf_text observed=2026-08-06T23:49:44.022930Z digest=sha256:e7245f86c79a16c6fbcd3b4b0a2736b7652cbcebe6fe2fd68c21468213dfebee

Observation 5cee5a21-2960-43c0-8f99-1117ad6c7bf5 · outbound

This paper cites In: International conference on machine learning.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: International conference on machine learning

Reference 21

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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.

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Observation 981cb9a4-4361-4e37-a508-da18cfcef362 · outbound

This paper cites an unresolved cited work.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Unresolved cited work

Reference 22

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

source=pdf_text observed=2026-08-06T23:49:44.272524Z digest=sha256:a13a78ae0e6a78d761280273a1892da691f11d8890a9c8c7be8b51178eb90e57

Observation bb510fe0-5957-4869-8512-70d7d52aad82 · outbound

This paper cites Visual Hallucinations of Multi-modal Large Language Models.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Visual Hallucinations of Multi-modal Large Language Models

Reference 23

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source=pdf_text observed=2026-08-06T23:49:44.314634Z digest=sha256:067f2c330fedf9a7c954780c64596960af9c64cfa501a5d14f1e6121ea5db085

Observation 0ca8aaef-774a-4071-9650-b42851c4ebc5 · outbound

This paper cites In: Proceedings of the IEEE/CVF confer- ence on computer vision and pattern recognition.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the IEEE/CVF confer- ence on computer vision and pattern recognition

Reference 24

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raw_fallback, observed 2026-08-06T23:49:56.987557Z

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.

source=pdf_text observed=2026-08-06T23:49:44.329874Z digest=sha256:3fc0483517dfdbf0743824113acb953a82e6905142914021539387f40ca4cd29

Observation 62c74135-4d56-473b-ae9b-b86fbd702271 · outbound

This paper cites GPT-4o System Card.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs GPT-4o System Card

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:44.396214Z digest=sha256:ca53d08be251c1de75b6839f1101231e7013f2ca860d78cca37da582611ce7dd

Observation b698e741-5e69-45fe-b013-9b060e96ccaa · outbound

This paper cites Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:44.479493Z digest=sha256:b021f1a7a80d34215ddd8174d89d14ce7f52992350662a5b5c0e255e7a6704b9

Observation 05785031-19ca-4c4e-93aa-86eb4401ed51 · outbound

This paper cites In: Moschitti, A., Pang, B., Daelemans, W.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Moschitti, A., Pang, B., Daelemans, W

Reference 27

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no resolver link, observed 2026-08-06T23:49:44.575867Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:44.575867Z digest=sha256:8033dcd1e2c353ecb304a21819ed86a30d12e7204a98eab55a7aee9bf5da90c2

Observation 98362437-6bfe-4e3b-8695-8713e9b680e6 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:56.725121Z

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.

source=pdf_text observed=2026-08-06T23:49:44.657554Z digest=sha256:5a62c12c4c325fa409bafb163981eeb4bd8bed8e9896c65e4c56fb2d5177a065

Observation bc37d831-5862-46fb-bacb-8aa3ed930a20 · outbound

This paper cites Advances in neural information processing systems35, 22199–22213 (2022) 1.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in neural information processing systems35, 22199–22213 (2022) 1

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:44.770951Z digest=sha256:42d2e74a0acf157d81728853d4eeea502ad1540a839749136bc9064099444cb8

Observation 3607bb06-77d0-4f86-905a-ac7eab03c27c · outbound

This paper cites International journal of computer vision123, 32–73 (2017) 23 18 Zhang et al.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs International journal of computer vision123, 32–73 (2017) 23 18 Zhang et al

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-06T23:49:56.504451Z

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.

source=pdf_text observed=2026-08-06T23:49:44.862028Z digest=sha256:3a6b4d5b35e8e65a823146658f187945e88e2ca0e678cac612dc749c210d2cbf

Observation 34e3cb2e-889a-431c-85f3-1c04c76070c7 · outbound

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

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs LLaVA-OneVision: Easy Visual Task Transfer

Reference 31

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no resolver link, observed 2026-08-06T23:49:44.945349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:44.945349Z digest=sha256:4d3fd768335c578d35964f7a6c9b318d69ac6431d426dfbb5e89ef4ca4acdb48

Observation 25fa2aea-97ec-4c06-8000-c14e77e97d1f · outbound

This paper cites In: International conference on machine learning (2023) 3.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: International conference on machine learning (2023) 3

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:56.275499Z

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.

source=pdf_text observed=2026-08-06T23:49:45.022136Z digest=sha256:1f12c7fdf2f211e2da5597296fca6533bd7be84c566f52243f58809a475e188c

Observation cba208de-dda4-434d-a978-94b6945ff039 · outbound

This paper cites Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:45.103890Z digest=sha256:f2bba5b5e1b82f6c9bff258d67e5be2c73f2f7eeed3208739ff9500cf4717375

Observation a2cb6108-3f01-4498-9e91-3015309545fd · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Evaluating Object Hallucination in Large Vision-Language Models

Reference 34

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no resolver link, observed 2026-08-06T23:49:45.195614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:45.195614Z digest=sha256:611bf9c3a640911a63db8c2e9cddf9ee97eca2ddae320ca4fb0b4f255e6ccb1c

Observation bd7055a6-7215-48ac-8fa2-362ad7eb287c · outbound

This paper cites In: Computer vision– ECCV 2014: 13th European conference, zurich, Switzerland, September 6-12, 2014, proceedings, part v 13.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Computer vision– ECCV 2014: 13th European conference, zurich, Switzerland, September 6-12, 2014, proceedings, part v 13

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:56.040612Z

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.

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Observation f2b298dd-5ea6-4ff7-bfc5-25109bffecb1 · outbound

This paper cites an unresolved cited work.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Unresolved cited work

Reference 36

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raw_fallback, observed 2026-08-06T23:49:55.844389Z

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.

source=pdf_text observed=2026-08-06T23:49:45.316052Z digest=sha256:d379da2e85633ac1ba5c86355b1d823c89652daf96f7fa0bf4b73b5ae168c810

Observation 6e62c2d9-ad26-40df-88fc-cabaf3c2faed · outbound

This paper cites Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts

Reference 37

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metadata mismatch
local_arxiv, observed 2026-08-06T23:49:50.613998Z

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.

source=pdf_text observed=2026-08-06T23:49:45.393560Z digest=sha256:8f61e63017d2fab8687a33e94ab9ce09be020f03c0ed72689f87ac7468eb4c45

Observation 5fbe7f04-c8d2-45fb-81f5-9af8f96f1455 · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Improved Baselines with Visual Instruction Tuning

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:45.468173Z digest=sha256:d32271bc78ee409978aae1e9c5159fbde3b1eb83caa3bc2f51fa1f0800376ff7

Observation 71839e54-cbea-41a2-97e8-bcc8ee73b825 · outbound

This paper cites Advances in neural information processing systems (2024) 8.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in neural information processing systems (2024) 8

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-06T23:49:55.596531Z

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.

source=pdf_text observed=2026-08-06T23:49:45.539949Z digest=sha256:c253cb85ce955b0009e74c05c4d0b5116c17f98379badc7907b0d5af3e50beb2

Observation a4251389-5981-4b90-b62d-1ba9bc9617da · outbound

This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 40

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no resolver link, observed 2026-08-06T23:49:45.617503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:45.617503Z digest=sha256:22ce6f0be69e47f0b769df5eed5b761dd1af1b31f1954bd01d74ff1cbd73f4c8

Observation 31ad7542-aaeb-4ba7-a9be-74bc3164c0c2 · outbound

This paper cites In: 2019 international conference on document analysis and recognition (ICDAR).

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: 2019 international conference on document analysis and recognition (ICDAR)

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:55.402737Z

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.

source=pdf_text observed=2026-08-06T23:49:45.687676Z digest=sha256:6236e36a468d4f819a1604ab36e0f25127ed2fed03c87f5db8314eced97fb4ad

Observation 91842637-d3ff-49a2-ad46-658b1adaab72 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs DINOv2: Learning Robust Visual Features without Supervision

Reference 42

Resolution
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no resolver link, observed 2026-08-06T23:49:45.816843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:45.816843Z digest=sha256:6ecff50391e9d0b05f971a031c2591515ea001f8e41c2d43926c26e425ec1896

Observation cd70e068-ccf4-4c56-b65d-eeb70eb1dc11 · outbound

This paper cites Advances in neural information processing sys- tems35, 27730–27744 (2022) 7.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in neural information processing sys- tems35, 27730–27744 (2022) 7

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:55.200393Z

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.

source=pdf_text observed=2026-08-06T23:49:45.881314Z digest=sha256:1e84d3c9fb6dbda95f40eafe6e9b0bfb38eba907405454c43bceb66d2ed9a1b6

Observation 42cb9477-c251-4144-b7cb-121d2db52b23 · outbound

This paper cites In: Isabelle, P., Charniak, E., Lin, D.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Isabelle, P., Charniak, E., Lin, D

Reference 44

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no resolver link, observed 2026-08-06T23:49:45.941408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:45.941408Z digest=sha256:8810c18a14f4d0c4bd14bb0bb1e90427eb47bef9bfddcd796645a96801fd4d9b

Observation f47a43a0-2844-4d43-aa51-810c20ac5839 · outbound

This paper cites Instruction Tuning with GPT-4.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Instruction Tuning with GPT-4

Reference 45

Resolution
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no resolver link, observed 2026-08-06T23:49:45.997984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:45.997984Z digest=sha256:dc9ffdcbb52064cf83786c4eb263b17d487cf34aecea074a5df99a69ce6eab5d

Observation 5ee8edc0-f768-4d7e-a466-2eaf985c89e7 · outbound

This paper cites RoRA-VLM: Robust Retrieval-Augmented Vision Language Models.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs RoRA-VLM: Robust Retrieval-Augmented Vision Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:46.093589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:46.093589Z digest=sha256:9e7fa27c28f1a6f3b64b8596b259da2b0e2d49bc7727d7b0d2082d6fb8a51bf1

Observation b424cf5e-108b-4c48-8869-38dbfcbdc8ba · outbound

This paper cites TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models

Reference 47

Resolution
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no resolver link, observed 2026-08-06T23:49:46.175261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:46.175261Z digest=sha256:1c680d09b5efa388274777b8114ec189a07a72bbb08eb1071462f992699e1dd6

Observation 27898a5e-31e2-4784-9086-665f4e757a77 · outbound

This paper cites In: International conference on machine learning.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: International conference on machine learning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:55.013041Z

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.

source=pdf_text observed=2026-08-06T23:49:46.255571Z digest=sha256:200839bda542f1308aacf0929e748de190ae45ef0c8ddaf9f525203198a94d31

Observation c9d0127c-43fc-4ccf-b142-fd226a57ff10 · outbound

This paper cites OpenAI blog (2019) 3.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs OpenAI blog (2019) 3

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:54.789451Z

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.

source=pdf_text observed=2026-08-06T23:49:46.319643Z digest=sha256:34509bb7195f8497a56797b9c6427730f16686b48f3169e0cb8701f912b754be

Observation ca3ec2ee-e277-48fe-8021-0cc8c7cf3709 · outbound

This paper cites In: Proceed- ings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceed- ings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:54.575910Z

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.

source=pdf_text observed=2026-08-06T23:49:46.383795Z digest=sha256:621b802567713219ea67a5c7a037b9ef9fe3b06c61529217443a9d52d4a806a5

Observation 16950b2b-865f-421f-bd08-7b24a4cc941c · outbound

This paper cites International Journal of Computer Vision (IJCV)115(3), 211–252 (2015).https://doi.org/10.1007/s11263-015-0816-y 25.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs International Journal of Computer Vision (IJCV)115(3), 211–252 (2015).https://doi.org/10.1007/s11263-015-0816-y 25

Reference 51

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no resolver link, observed 2026-08-06T23:49:46.451964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:46.451964Z digest=sha256:612cfbfcee385d81038d8b2941260e92816f4294f0535baa29b007476a772f7b

Observation 3ccbf71f-c489-4c63-9495-eda8dd689392 · outbound

This paper cites In: Proceedings of the IEEE/CVF In- ternational Conference on Computer Vision.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the IEEE/CVF In- ternational Conference on Computer Vision

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:54.373098Z

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.

source=pdf_text observed=2026-08-06T23:49:46.512356Z digest=sha256:128e0307e773914ac0005cda21f051a5e974368375f9646a632f47b5cca52533

Observation 86d586b0-9680-486c-9e3f-162c30b461de · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:54.177162Z

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.

source=pdf_text observed=2026-08-06T23:49:46.578891Z digest=sha256:f658e9169a703caac2aa044f42712c4fdeb6a88539daa691eaf1a4eba70af08b

Observation 2af3891e-4d2e-435e-925d-dd674b779fc4 · outbound

This paper cites In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024

Reference 54

Resolution
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raw_fallback, observed 2026-08-06T23:49:54.017425Z

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.

source=pdf_text observed=2026-08-06T23:49:46.678317Z digest=sha256:081cc21732bdeadcb9ac91c038229e1737a784c89baaefd8a20aec2b918b80e7

Observation 8fa1d37a-00b5-4618-bfef-5bba855dad24 · outbound

This paper cites an unresolved cited work.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:49:53.855989Z

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.

source=pdf_text observed=2026-08-06T23:49:46.778292Z digest=sha256:8316fb7cee1bc44cc9b420803e04bae0381e2f26ccdefa15dbfd4ec586b0bf44

Observation 5ab4e903-be42-4e89-8382-648c3588d80a · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Gemini: A Family of Highly Capable Multimodal Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:46.874332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:46.874332Z digest=sha256:b647aa54e04391bad9039649da0e2a990e232c0a753305de6364a4fbb973810e

Observation 3d3401e8-2d2e-4e1c-8760-a0d7374bc36d · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 57

Resolution
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no resolver link, observed 2026-08-06T23:49:46.998208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:46.998208Z digest=sha256:b225491347705f0d24c996981293ffdbf39b1f97fe8692b622cda34398b08bbf

Observation fd8e0cce-8028-491b-9170-f2e60edcfdad · outbound

This paper cites Advances in Neural Information Processing Systems (2024) 8.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in Neural Information Processing Systems (2024) 8

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:53.684287Z

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.

source=pdf_text observed=2026-08-06T23:49:47.087536Z digest=sha256:a4682bff985fabc46f85883be7b1876f1dd233ef10f5e38cfc22042ca9066c34

Observation a5e28183-a82c-448b-9f78-bb92c0341f09 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024) 8, 24.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024) 8, 24

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:53.529178Z

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.

source=pdf_text observed=2026-08-06T23:49:47.132012Z digest=sha256:45b1a24ad211ac2e25b39db243f862f276f54dde8129dc44e446b4931812a3f7

Observation b62fed41-5f33-40f5-bc61-a5b9bab7392d · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs LLaMA: Open and Efficient Foundation Language Models

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:47.193356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:47.193356Z digest=sha256:253fae5379fd1fcaf234fcc48396abbd987c50032ac79923b8954a4f74a3fde3

Observation 00a39c9a-e009-49a8-b779-50e531aa505d · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:47.285204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:47.285204Z digest=sha256:21bb53c8e87257b1062e09476ebe92543d2b87750ca58e9ae6ffa331a10c1a84

Observation 3bee457e-61bd-478f-b247-80d6e6e50ad7 · outbound

This paper cites an unresolved cited work.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Unresolved cited work

Reference 62

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T23:49:50.211516Z

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.

source=pdf_text observed=2026-08-06T23:49:47.407683Z digest=sha256:724ea5929c06bc8e51abadcf25fd577276e533c9792e4e350d3fe392bfd68d09

Observation 1b1ae32e-4f21-4040-8688-30b6726a507f · outbound

This paper cites Advances in neural information processing systems35, 24824–24837 (2022) 1 20 Zhang et al.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in neural information processing systems35, 24824–24837 (2022) 1 20 Zhang et al

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:53.344363Z

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.

source=pdf_text observed=2026-08-06T23:49:47.467779Z digest=sha256:f8bd0c69702a1f813dfe18219db6c22ec751fc54c460821b4ea52a2a63199ce3

Observation de9d9344-0a43-42a5-bc31-053bb1099ebb · outbound

This paper cites CoMMIT: Coordinated Multimodal Instruction Tuning.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs CoMMIT: Coordinated Multimodal Instruction Tuning

Reference 64

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unresolved
no resolver link, observed 2026-08-06T23:49:47.581290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:47.581290Z digest=sha256:392fc3b7023d4c2325823ff9fcccbf740b146e402f29598485446816d998e5ff

Observation ee4b47a9-2a6b-4935-b17b-3a2656142bf0 · outbound

This paper cites Visual Prompting in Multimodal Large Language Models: A Survey.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Visual Prompting in Multimodal Large Language Models: A Survey

Reference 65

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unresolved
no resolver link, observed 2026-08-06T23:49:47.733190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:47.733190Z digest=sha256:1670c8df1e3daa70f95334730e8e52246f4ca571de149fa49b1f024affff24d5

Observation 2d1deadb-7a6d-4f8e-9862-258ca63aa7f9 · outbound

This paper cites co / datasets / xai - org / RealworldQA[] 8.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs co / datasets / xai - org / RealworldQA[] 8

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:53.179415Z

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.

source=pdf_text observed=2026-08-06T23:49:47.838345Z digest=sha256:86622600d37e41191e6cff487b8ee7b99f318f392a3c8c8ec90e1c4b84678865

Observation 1562428a-527c-49b2-89e7-537142322976 · outbound

This paper cites an unresolved cited work.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Unresolved cited work

Reference 67

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unresolved
raw_fallback, observed 2026-08-06T23:49:52.993558Z

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.

source=pdf_text observed=2026-08-06T23:49:47.916466Z digest=sha256:dd15852e2350f7b2a19c019aba37c2ab99652c1df31733167f2d5e6a3ff2ab34

Observation d6a43316-922f-42e6-958d-517bb29ceb94 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:52.857659Z

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.

source=pdf_text observed=2026-08-06T23:49:48.044615Z digest=sha256:76ecde55df8ad178db9c9238624ce49330e6f81abd3c165098032f4c36958b34

Observation f87b5678-d72d-4cdf-be5d-1e3671f9bd4f · outbound

This paper cites arXiv preprint arXiv:2502.13146 (2025) 4.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs arXiv preprint arXiv:2502.13146 (2025) 4

Reference 69

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no resolver link, observed 2026-08-06T23:49:48.167803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:48.167803Z digest=sha256:4cb1e125e6b9a2900cb688dd8be65a6aa0e8c03e5cb2fb6fb278bef1f26a5002

Observation eae86efb-ae16-46f3-888c-6a9397ec51a1 · outbound

This paper cites Advances in Neural Information Processing Systems36, 24993–25006 (2023) 3, 4, 8, 12.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in Neural Information Processing Systems36, 24993–25006 (2023) 3, 4, 8, 12

Reference 70

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verified fuzzy
raw_fallback, observed 2026-08-06T23:49:52.715548Z

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.

source=pdf_text observed=2026-08-06T23:49:48.263139Z digest=sha256:94ba248a38d10eb0043fb0d3c82ad5d68b55a95870106662669eb8371d27533d

Observation e831e6d9-661a-4064-8a45-e0bf0e5e96d2 · outbound

This paper cites In: European conference on computer vision (2016) 8.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: European conference on computer vision (2016) 8

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:52.490457Z

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.

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Observation 6eee4560-a777-4c93-9803-1b092500d740 · outbound

This paper cites In: European Conference on Computer Vision.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: European Conference on Computer Vision

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:52.344148Z

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.

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Observation 9e52b349-53d8-4935-9c12-82ce955bb5a3 · outbound

This paper cites Frame-Voyager: Learning to Query Frames for Video Large Language Models.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Frame-Voyager: Learning to Query Frames for Video Large Language Models

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:48.564539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:48.564539Z digest=sha256:2ca84f007890ecccb9a0b50bcb71e3f8c2058d963c5b29f554c571f01141db4b

Observation 39c91981-0d00-4d70-b54b-0b83a7d6f421 · outbound

This paper cites MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:48.654570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fe689ff7-d5fb-469b-9766-e865a4bc2c02 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024) 8, 23.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024) 8, 23

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:52.189741Z

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.

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Observation af87111e-c425-43b8-9b2a-771a669aecc3 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:52.047047Z

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.

source=pdf_text observed=2026-08-06T23:49:48.917001Z digest=sha256:467a9f001ae2c5b1f56f78e548b0978e891e4224cb58c4dad1307e9bb4a94fd2

Observation 4104aa22-8493-4fc8-a709-44378d9539f8 · outbound

This paper cites Advances in Neural Information Processing Systems36, 20299–20319 (2023) 1, 3.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in Neural Information Processing Systems36, 20299–20319 (2023) 1, 3

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:51.929376Z

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.

source=pdf_text observed=2026-08-06T23:49:49.024703Z digest=sha256:69b4caa4aa7213272868a7befa5e7aafcd776a4a7b927a8c42ecf6e0df762d51

Observation e098ef78-1fc0-4e52-8d3c-782bd8074457 · outbound

This paper cites In: Proceedings of the 27th ACM International Conference on Multimedia.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the 27th ACM International Conference on Multimedia

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:51.822237Z

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.

source=pdf_text observed=2026-08-06T23:49:49.180790Z digest=sha256:aaa5859082fa9d7f95d67c7ab29e69e882f2069997cc8f1037fab712f4fa2bb1

Observation 94290b77-91d5-46dd-bd2e-e6dfeabdf314 · outbound

This paper cites ICLR (2025) 6, 12.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs ICLR (2025) 6, 12

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:51.628893Z

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.

source=pdf_text observed=2026-08-06T23:49:49.269835Z digest=sha256:58920cdc4b517330e48bab229faa607703cbc4da179f4f7a9bf621fa16513f2f

Observation 5bf82dca-0c49-4916-9cc5-b72111445e1e · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024) 3, 12 AutoV 21.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024) 3, 12 AutoV 21

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:51.366436Z

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.

source=pdf_text observed=2026-08-06T23:49:49.378233Z digest=sha256:034cad4cfb8ce1dcc5f25c7711f9cabe74f90ac3100f10b69957768225c82842

Observation ed683ece-5320-4571-9c26-6fcdef680427 · outbound

This paper cites Advances in Neural Information Processing Systems37, 118632–118653 (2024) 6.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in Neural Information Processing Systems37, 118632–118653 (2024) 6

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:51.132004Z

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.

source=pdf_text observed=2026-08-06T23:49:49.510556Z digest=sha256:5f27dedf135edd0314d2b3bb626cd830bd55f45d50af67fb4f15fccbbdf2fa53

Observation 96a96328-d5f3-4894-997a-3beafc38e197 · outbound

This paper cites In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022) 1.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022) 1

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:50.970112Z

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.

source=pdf_text observed=2026-08-06T23:49:49.577818Z digest=sha256:3ead6985a3a26fa2fe3769689b7e3b7b91e208169d7cae2a9a7801e8d86ff273

Observation 28e97a0e-425d-403f-add9-a6f8a4c99323 · outbound

This paper cites MoVA: Adapting Mixture of Vision Experts to Multimodal Context.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs MoVA: Adapting Mixture of Vision Experts to Multimodal Context

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:49.696369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:49.696369Z digest=sha256:d41d775a9fd9e4c6bbc2b537d7a2f8ca51c0af2faf96641eb36fbeb294e4a96c

Pith citing papers

Observation 91732e73-87bf-4c81-a672-966a5418b2a2 · inbound

SEED: Targeted Data Selection by Weighted Independent Set cites this paper.

SEED: Targeted Data Selection by Weighted Independent Set AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-07-14T01:19:53.792907Z

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.

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