Paper Citation Record · LEDGER

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval

As of 12 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2412.11087.

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

pith.paper-citation-record.v1
2412.11087 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:20:47.304539Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T19:31:53.371412Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T22:50:50.048388Z

Reference resolution

63 of 63 outbound references displayed

verified exact0
verified fuzzy3
unresolved60
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5fb24540-56e8-4360-9f8f-e6986dcef930 · outbound

This paper cites an unresolved cited work.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:47.072504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9f5b0d6-ec8b-466c-a352-abc8c34e8974 · outbound

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

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:47.077372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 727a0145-d411-48a7-ad65-39c497ca8cbf · outbound

This paper cites Sentence-level Prompts Benefit Composed Image Retrieval.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Sentence-level Prompts Benefit Composed Image Retrieval

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:47.081805Z

Source-reported events for the cited work

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Observation 064b6ace-4224-4561-be2d-2e86603ad21f · outbound

This paper cites an unresolved cited work.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 4

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Source-reported events for the cited work

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Observation dd9be402-77fe-4010-b660-7eeeec471912 · outbound

This paper cites L.; Berg, A.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval L.; Berg, A

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:47.969858Z

Source-reported events for the cited work

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Observation 6ce4b15a-ff37-4188-a439-13b8ca563391 · outbound

This paper cites D.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; et al.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval D.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; et al

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:47.093309Z

Source-reported events for the cited work

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Observation ea39360f-46e6-4b14-b7ae-72b02ed00b32 · outbound

This paper cites an unresolved cited work.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:20:47.951530Z

Source-reported events for the cited work

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Observation 9249f51c-0d35-48e9-a670-ef8862423a9a · outbound

This paper cites an unresolved cited work.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:47.101264Z

Source-reported events for the cited work

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Observation 92e8164d-392a-4a45-8e4b-4b200b236fe0 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:47.104874Z

Source-reported events for the cited work

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Observation 631d5c9e-d0aa-439e-985b-88480d072afb · outbound

This paper cites ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity

Reference 10

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Observation 4973a0fb-8a17-47c5-bdf0-48ff6745052e · outbound

This paper cites S.; Shlens, J.; Bengio, S.; Dean, J.; Ranzato, M.; and Mikolov, T.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval S.; Shlens, J.; Bengio, S.; Dean, J.; Ranzato, M.; and Mikolov, T

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:47.931167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 27f9bddc-f97c-4171-8b23-0714a9ce819d · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:47.116387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1974dd6-5e0e-46f7-afe5-c803db7f9efe · outbound

This paper cites an unresolved cited work.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 13

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Source-reported events for the cited work

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Observation 5b237d09-9245-4d6b-80fb-235cab2dcb04 · outbound

This paper cites an unresolved cited work.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:20:47.906077Z

Source-reported events for the cited work

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Observation fce0905e-7f11-4e6f-9f28-6774c2fd175e · outbound

This paper cites an unresolved cited work.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 15

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Source-reported events for the cited work

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Observation ef0a1cfb-6a81-498f-aaa9-de20bb8b4924 · outbound

This paper cites an unresolved cited work.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 16

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Observation 8c8290c0-af88-45f2-abd0-a459b4ecd52a · outbound

This paper cites an unresolved cited work.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 17

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Source-reported events for the cited work

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Observation 4c176027-f57b-43fe-9489-4e11646f569c · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval LoRA: Low-Rank Adaptation of Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:47.139250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc39824b-a43e-44aa-8c39-2eeb3f6eaa6f · outbound

This paper cites an unresolved cited work.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 19

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Source-reported events for the cited work

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This paper cites A.; and Manning, C.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval A.; and Manning, C

Reference 20

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Source-reported events for the cited work

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Observation dab740d2-3bb6-4637-9ecb-e65e974755ef · outbound

This paper cites A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:47.148781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b0799d0-d39e-4c7e-8208-1ab26c86643a · outbound

This paper cites Vision-by-Language for Training-Free Compositional Image Retrieval.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Vision-by-Language for Training-Free Compositional Image Retrieval

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:47.152427Z

Source-reported events for the cited work

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Observation b82718db-b4c4-4818-91ec-5d3d25385df1 · outbound

This paper cites an unresolved cited work.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 23

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Observation 7d86ae43-c7fc-479b-bc15-e9d1593981ae · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Adam: A Method for Stochastic Optimization

Reference 24

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Observation 91f68c5f-8c88-4ee8-960a-f9b9dc32b077 · outbound

This paper cites an unresolved cited work.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 25

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Observation 0132dc7e-1cec-41a4-9c4e-fdfcc16c05ad · outbound

This paper cites Data Roaming and Quality Assessment for Composed Image Retrieval.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Data Roaming and Quality Assessment for Composed Image Retrieval

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:47.167708Z

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Observation 69f869d3-b441-4c75-9e42-c5642a8396c0 · outbound

This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 27

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Observation a65b9e6d-9794-4c1b-8b79-7825e177d0e4 · outbound

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 28

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This paper cites an unresolved cited work.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 29

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Source-reported events for the cited work

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Observation 894eadbe-dadf-4997-9037-3ca42f8f56fe · outbound

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

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Evaluating Object Hallucination in Large Vision-Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:47.183013Z

Source-reported events for the cited work

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Observation 09255caa-b43c-4572-b1b4-756ea2c990c7 · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Improved Baselines with Visual Instruction Tuning

Reference 31

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Source-reported events for the cited work

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Observation db129af9-232b-421b-a51c-ffc2462569ea · outbound

This paper cites MMBench: Is Your Multi-modal Model an All-around Player?.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval MMBench: Is Your Multi-modal Model an All-around Player?

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:47.190182Z

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 33

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Observation 0d246f28-a1f9-487b-a393-eb2c7b077dff · outbound

This paper cites an unresolved cited work.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 34

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Observation 822d1bec-c915-4244-88cb-fa5d1786eab1 · outbound

This paper cites Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder

Reference 35

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Fine-Tuning LLaMA for Multi-Stage Text Retrieval

Reference 36

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval K.; and Chakraborty, A

Reference 37

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Observation 8cbbff1d-dbc6-4e95-84c2-f9d74f256452 · outbound

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval SGPT: GPT Sentence Embeddings for Semantic Search

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:47.209922Z

Source-reported events for the cited work

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Observation 7a2ecf54-2ea2-4fca-9c19-b297e9ac1ba9 · outbound

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Generative Representational Instruction Tuning

Reference 39

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Source-reported events for the cited work

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Observation 205da4d2-3dce-411c-8f3e-daf13d0f8dc2 · outbound

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

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Source-reported events for the cited work

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al

Reference 41

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 42

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Observation b0aaf17e-3454-4555-849a-b062c4180004 · outbound

This paper cites G.; Malinowski, M.; Pascanu, R.; Battaglia, P.; and Lillicrap, T.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval G.; Malinowski, M.; Pascanu, R.; Battaglia, P.; and Lillicrap, T

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:20:47.753157Z

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Observation 0c56815c-e770-4609-9eec-1287024e33ba · outbound

This paper cites AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

Reference 44

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval A Corpus for Reasoning About Natural Language Grounded in Photographs

Reference 45

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Source-reported events for the cited work

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Training-free Zero-shot Composed Image Retrieval with Local Concept Reranking

Reference 46

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval LLaMA: Open and Efficient Foundation Language Models

Reference 48

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 49

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Observation b799e0cf-2820-45d6-991e-a2dfde406b13 · outbound

This paper cites Evaluation and Analysis of Hallucination in Large Vision-Language Models.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 50

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Observation 5b2309af-10e4-462b-9d65-9c5a6205a06b · outbound

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 51

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Observation 60d3d41a-88a4-4690-937b-ebf4e679913a · outbound

This paper cites an unresolved cited work.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 52

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Observation 51ad0a63-dcc2-4c5f-83cc-1caffdad4311 · outbound

This paper cites an unresolved cited work.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 53

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This paper cites an unresolved cited work.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 54

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Observation 6e473cf3-9d1f-45bf-a40b-2ad714ab883f · outbound

This paper cites an unresolved cited work.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:20:47.677071Z

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Observation 9c3ff6a2-6eba-485f-a0fa-a705fcdeb841 · outbound

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 56

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Observation 5004d9f0-efa5-4d6c-956a-19b78d0446eb · outbound

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unified Vision and Language Prompt Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:47.281351Z

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Unavailable: canonical work link unavailable.

Observation 42aa9c8d-351b-4ef2-be75-b2fd0a4dc6b2 · outbound

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Progressive Learning for Image Retrieval with Hybrid-Modality Queries

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:47.285162Z

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Unavailable: canonical work link unavailable.

Observation ddc6c121-5f93-40bb-b94f-f1e32b4e0bc6 · outbound

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval C.; and Liu, Z

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:47.288651Z

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Unavailable: canonical work link unavailable.

Observation 372f6699-56bc-4c03-8978-d3f62914bdb5 · outbound

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:47.291989Z

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Observation ace799f6-7218-4536-8016-cce571eb8dbc · outbound

This paper cites an unresolved cited work.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:20:47.659404Z

Source-reported events for the cited work

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Observation d25233e3-11bc-4165-b1de-a7de402374fb · outbound

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Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval , " * write output.state after.block = add.period write newline

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:47.299661Z

Source-reported events for the cited work

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Observation 22567bc8-5e40-4428-8c68-e7cac127861f · outbound

This paper cites write newline.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval write newline

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T15:20:47.304539Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 068c18a3-4b06-4d85-a674-58f6890816df · inbound

WRF4CIR: Weight-Regularized Fine-Tuning Network for Composed Image Retrieval cites this paper.

WRF4CIR: Weight-Regularized Fine-Tuning Network for Composed Image Retrieval Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:50:50.051194Z

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