Paper Citation Record · LEDGER

Personalize Your Large Vision-language Models With In-context Prompt Tuning

As of 20 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2605.31513.

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

pith.paper-citation-record.v1
2605.31513 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T12:47:40.536347Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:03:42.749059Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

35 of 35 outbound references displayed

verified exact0
verified fuzzy0
unresolved34
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 83fbc121-c457-4e69-b309-5a4c7fa801b9 · outbound

This paper cites In: European Conference on Computer Vision.

Personalize Your Large Vision-language Models With In-context Prompt Tuning In: European Conference on Computer Vision

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:36.520388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1842b220-638e-44af-9283-651b8918536d · outbound

This paper cites arXiv preprint arXiv:2411.11706 (2024) 2, 4, 11, 17, 20, 21.

Personalize Your Large Vision-language Models With In-context Prompt Tuning arXiv preprint arXiv:2411.11706 (2024) 2, 4, 11, 17, 20, 21

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:36.655289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 943ece8b-3926-4920-a7b2-78e5a792dfee · outbound

This paper cites arXiv preprint arXiv:2505.14671 (2025) 4.

Personalize Your Large Vision-language Models With In-context Prompt Tuning arXiv preprint arXiv:2505.14671 (2025) 4

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:36.775085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29dc6038-cd83-4617-9a26-10e64c89c1a8 · outbound

This paper cites In: Synthetic Data for Computer Vision Workshop@ CVPR 2025 (2025) 4.

Personalize Your Large Vision-language Models With In-context Prompt Tuning In: Synthetic Data for Computer Vision Workshop@ CVPR 2025 (2025) 4

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:36.886507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 329e5ac4-8c1b-4431-b20b-1248da7197d7 · outbound

This paper cites Qwen3-VL Technical Report.

Personalize Your Large Vision-language Models With In-context Prompt Tuning Qwen3-VL Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:36.993999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34492b33-da7b-44a1-a518-10a89893e27e · outbound

This paper cites AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn.

Personalize Your Large Vision-language Models With In-context Prompt Tuning AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:37.161446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cc0f3b2-0138-4577-b00d-49e8d73c2d16 · outbound

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

Personalize Your Large Vision-language Models With In-context Prompt Tuning In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:37.277573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0575b3d7-0d8d-4d27-917f-67125c63db7f · outbound

This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

Personalize Your Large Vision-language Models With In-context Prompt Tuning DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:37.404653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36f48249-71a2-4d9b-a68c-00c99d5c7d75 · outbound

This paper cites arXiv preprint arXiv:2509.22820 (2025) 4, 10, 19.

Personalize Your Large Vision-language Models With In-context Prompt Tuning arXiv preprint arXiv:2509.22820 (2025) 4, 10, 19

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:37.509426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f480db5-6515-4742-b715-0fd52f380e6f · outbound

This paper cites arXiv preprint arXiv:2509.21730 (2025) 4.

Personalize Your Large Vision-language Models With In-context Prompt Tuning arXiv preprint arXiv:2509.21730 (2025) 4

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:37.617189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3cc2c9d-bcde-4161-94d1-4408829d5473 · outbound

This paper cites International Journal of Human–Computer Interaction pp.

Personalize Your Large Vision-language Models With In-context Prompt Tuning International Journal of Human–Computer Interaction pp

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:37.775516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcd8e390-f2f7-49c5-be74-c9a4535acbb4 · outbound

This paper cites In: Second Conference on Language Modeling (2025), https://openreview.net/forum?id=9ffYcEiNw92.

Personalize Your Large Vision-language Models With In-context Prompt Tuning In: Second Conference on Language Modeling (2025), https://openreview.net/forum?id=9ffYcEiNw92

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:37.913357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da2a678f-9feb-4bd2-94cf-3ea2a31d0d90 · outbound

This paper cites In: Pro- ceedings of the AAAI Conference on Artificial Intelligence.

Personalize Your Large Vision-language Models With In-context Prompt Tuning In: Pro- ceedings of the AAAI Conference on Artificial Intelligence

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:37.999067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2342b135-a22d-4dfe-b75c-1465680daae1 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Personalize Your Large Vision-language Models With In-context Prompt Tuning In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:38.196821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06107ee2-0491-4c06-9f02-dbb320144e65 · outbound

This paper cites In: European conference on computer vision.

Personalize Your Large Vision-language Models With In-context Prompt Tuning In: European conference on computer vision

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:38.395852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1164d86a-a955-4564-b1df-43b78ace8c9d · outbound

This paper cites an unresolved cited work.

Personalize Your Large Vision-language Models With In-context Prompt Tuning Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:38.585981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ac4cdcd-65b4-459f-a6cb-181b177f4b51 · outbound

This paper cites Advances in neural information processing systems36, 34892–34916 (2023) 4.

Personalize Your Large Vision-language Models With In-context Prompt Tuning Advances in neural information processing systems36, 34892–34916 (2023) 4

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:38.717642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1350c65b-38dd-48da-b75a-f5827a96d272 · outbound

This paper cites In: Findings of the Association for Computational Linguistics: NAACL 2024.

Personalize Your Large Vision-language Models With In-context Prompt Tuning In: Findings of the Association for Computational Linguistics: NAACL 2024

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:38.852651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 625ca757-be3c-4654-9052-e059972c1d62 · outbound

This paper cites Ad- vances in Neural Information Processing Systems37, 23464–23487 (2024) 6.

Personalize Your Large Vision-language Models With In-context Prompt Tuning Ad- vances in Neural Information Processing Systems37, 23464–23487 (2024) 6

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:39.049525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bd730db-8aa9-43fa-9f53-7f08bcd2b421 · outbound

This paper cites Advances in Neural Information Processing Systems 37, 40913–40951 (2024) 2, 4, 11, 17, 20.

Personalize Your Large Vision-language Models With In-context Prompt Tuning Advances in Neural Information Processing Systems 37, 40913–40951 (2024) 2, 4, 11, 17, 20

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:39.175810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9da38697-2c51-46a4-8e8c-fd490ff8a76f · outbound

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

Personalize Your Large Vision-language Models With In-context Prompt Tuning DINOv2: Learning Robust Visual Features without Supervision

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:39.376458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f87c977d-7f84-4f89-aed2-14232c914a34 · outbound

This paper cites In: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems.

Personalize Your Large Vision-language Models With In-context Prompt Tuning In: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:39.499649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7376f13-91a7-49b9-8ec1-3b22c8774831 · outbound

This paper cites Personalized Large Vision-Language Models.

Personalize Your Large Vision-language Models With In-context Prompt Tuning Personalized Large Vision-Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:39.581721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5be648e4-65b6-4380-bc22-9fd0f85bbb60 · outbound

This paper cites Personalized Visual Instruction Tuning.

Personalize Your Large Vision-language Models With In-context Prompt Tuning Personalized Visual Instruction Tuning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:39.664859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f005fab-c131-45fe-994c-2fcfcd1695e5 · outbound

This paper cites In: International conference on machine learning.

Personalize Your Large Vision-language Models With In-context Prompt Tuning In: International conference on machine learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:39.725144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f104f8f2-11c0-4cb3-a35a-e6c8a87a4823 · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

Personalize Your Large Vision-language Models With In-context Prompt Tuning Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:39.746335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 863b20cb-ff8f-4423-b307-0e0aa70414a9 · outbound

This paper cites In: Proceedings of the 62nd Annual Meeting of the AssociationforComputationalLinguistics(Volume1:LongPapers).pp.7370–7392 (2024) 4.

Personalize Your Large Vision-language Models With In-context Prompt Tuning In: Proceedings of the 62nd Annual Meeting of the AssociationforComputationalLinguistics(Volume1:LongPapers).pp.7370–7392 (2024) 4

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:39.858066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eac280e-a913-47ef-9513-222fadc4350f · outbound

This paper cites Personalization Toolkit: Training Free Personalization of Large Vision Language Models.

Personalize Your Large Vision-language Models With In-context Prompt Tuning Personalization Toolkit: Training Free Personalization of Large Vision Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:39.949734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf4f15e5-0c17-48b0-a05f-59b2dc711f2a · outbound

This paper cites DINOv3.

Personalize Your Large Vision-language Models With In-context Prompt Tuning DINOv3

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:40.025987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a0cb136-dd63-4878-9b49-68518c3d113a · outbound

This paper cites ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows.

Personalize Your Large Vision-language Models With In-context Prompt Tuning ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:40.094181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2422728c-0e33-43b5-b5a2-e60cff62751a · outbound

This paper cites InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency.

Personalize Your Large Vision-language Models With In-context Prompt Tuning InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:40.169240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 772800ba-8e6d-4aff-97a4-675fa6a168e8 · outbound

This paper cites arXiv preprint arXiv:2510.22765 (2025) 4.

Personalize Your Large Vision-language Models With In-context Prompt Tuning arXiv preprint arXiv:2510.22765 (2025) 4

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:40.247366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d17b088-c088-4c9d-8098-3a5933cc6f10 · outbound

This paper cites National Science Review11(12), nwae403 (2024) 3.

Personalize Your Large Vision-language Models With In-context Prompt Tuning National Science Review11(12), nwae403 (2024) 3

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:40.317946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdb41073-0c8b-48fc-b90a-b6731dba0930 · outbound

This paper cites MM-LLMs: Recent Advances in MultiModal Large Language Models.

Personalize Your Large Vision-language Models With In-context Prompt Tuning MM-LLMs: Recent Advances in MultiModal Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:40.443273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 776ed45b-a61a-452a-8785-4dbbd4aaac23 · outbound

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

Personalize Your Large Vision-language Models With In-context Prompt Tuning InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 35

Resolution: malformed identifier; no resolver link, observed 2026-08-02T12:47:40.536347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 296ee6f0-30cc-4ecb-9998-6b993ec80e1c · inbound

Toward User-Conditioned Evaluation of Personal LLM Agents under Temporal Interventions cites this paper.

Toward User-Conditioned Evaluation of Personal LLM Agents under Temporal Interventions Personalize Your Large Vision-language Models With In-context Prompt Tuning

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-01T15:08:40.077245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 695504e7-ece9-4c64-afa8-6dfe625e6aec · inbound

Rethinking Layer-Wise Information Allocation for Vision Foundation Model Adaptation cites this paper.

Rethinking Layer-Wise Information Allocation for Vision Foundation Model Adaptation Personalize Your Large Vision-language Models With In-context Prompt Tuning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T06:14:10.552124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.