Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:53:19.895071Z
Paper Citation Record · LEDGER
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval
As of 8 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2505.20764.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
73 of 73 outbound references displayed
- verified exact0
- verified fuzzy61
- unresolved12
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0e16bcf2-47c4-415f-a55a-450b1059486d · outbound
This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Frozen in time: A joint video and image encoder for end-to-end retrieval
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:38.625286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 667c98f4-0393-4f4c-8814-e10c0df1159a · outbound
This paper cites Effective conditioned and composed image retrieval combining clip-based features.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Effective conditioned and composed image retrieval combining clip-based features
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:38.338521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cf345bce-49a1-49a5-8afb-e7530f98b9eb · outbound
This paper cites Zero-shot composed image retrieval with textual inversion.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Zero-shot composed image retrieval with textual inversion
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:38.042754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d27dd8a0-7e04-484b-b27b-c37ba42586b2 · outbound
This paper cites an unresolved cited work.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:53:37.770141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3bee0394-b482-426b-abc3-b620aa31cd07 · outbound
This paper cites InstructPix2Pix: Learning to Follow Image Editing Instructions.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval InstructPix2Pix: Learning to Follow Image Editing Instructions
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:53:13.438855Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86093759-a6c7-4633-980b-0d98204f749b · outbound
This paper cites Emerging prop- erties in self-supervised vision transformers.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Emerging prop- erties in self-supervised vision transformers
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:37.482535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ce7a19ea-59b2-4921-a5c3-5c87af67dcc8 · outbound
This paper cites Bakker, Theodoros Georgiou, Paul Fieguth, Li Liu, and Michael S.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Bakker, Theodoros Georgiou, Paul Fieguth, Li Liu, and Michael S
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:37.216807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a015c7e0-ef56-4cd7-ab0a-7787d5c5dfd0 · outbound
This paper cites Image search with text feedback by visiolinguistic attention learning.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Image search with text feedback by visiolinguistic attention learning
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:36.955768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8ca25717-e3cd-49b7-bbf3-9b5563b0b93e · outbound
This paper cites Metaxas, and Hongxia Y ang.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Metaxas, and Hongxia Y ang
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:36.585814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 94480b25-89d3-4497-ba7a-00a8fd51302e · outbound
This paper cites Instructblip: towards general-purpose vision- language models with instruction tuning.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Instructblip: towards general-purpose vision- language models with instruction tuning
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:36.335618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4cbe4594-2d16-4e2f-b819-0d1c28826c5e · outbound
This paper cites Artemis: Attention-based retrieval with text-explicit matching and implicit similarity.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Artemis: Attention-based retrieval with text-explicit matching and implicit similarity
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:36.135283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 14000f4b-78bf-4f11-8d98-9cb72596877c · outbound
This paper cites Imagenet: A large-scale hierarchical image database.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Imagenet: A large-scale hierarchical image database
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:35.911527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 50c8937a-f4e8-4d1b-b8c2-a24d17c00b12 · outbound
This paper cites Characterizing context influence and hallucination in summarization, 2024.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Characterizing context influence and hallucination in summarization, 2024
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:35.736915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 34efb20b-61dc-42c5-8c67-ecf090b1c580 · outbound
This paper cites Neural Naturalist: Generating Fine-Grained Image Comparisons.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Neural Naturalist: Generating Fine-Grained Image Comparisons
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:53:14.156914Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b99788ce-a506-446b-ad5c-47b9363e8673 · outbound
This paper cites Making the V in VQA matter: Elevating the role of image understanding in Visual Question Answering.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Making the V in VQA matter: Elevating the role of image understanding in Visual Question Answering
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:35.339953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 14de4d38-995a-4644-a4d3-03762f826796 · outbound
This paper cites Language-only training of zero-shot composed image retrieval.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Language-only training of zero-shot composed image retrieval
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:34.877612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 13c54050-6741-483a-b5f3-6eeb70d6b074 · outbound
This paper cites Compodiff: V ersatile composed image retrieval with latent diffusion.Transactions on Machine Learning Research, 2024.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Compodiff: V ersatile composed image retrieval with latent diffusion.Transactions on Machine Learning Research, 2024
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:34.566641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c390f1f1-9b59-405c-84b1-3045bd99c03b · outbound
This paper cites The many faces of robustness: A critical analysis of out-of-distribution generalization.ICCV, 2021.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval The many faces of robustness: A critical analysis of out-of-distribution generalization.ICCV, 2021
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:34.356744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ad5ad618-b0c1-408f-a8bb-d139a11f2c80 · outbound
This paper cites Prompt-to-prompt image editing with cross attention control.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Prompt-to-prompt image editing with cross attention control
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:34.125049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9d7ad53c-725b-42f7-b687-d77195f50cab · outbound
This paper cites Referring image segmentation via cross-modal progressive comprehension.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Referring image segmentation via cross-modal progressive comprehension
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:33.849238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3b589a80-ec07-4acb-ac5a-8705aff68b05 · outbound
This paper cites Gqa: A new dataset for real-world visual reasoning and compositional question an- swering.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Gqa: A new dataset for real-world visual reasoning and compositional question an- swering
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:33.666063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 18c53142-8e92-4dc7-bf01-2587911baee2 · outbound
This paper cites Openclip, 2021.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Openclip, 2021
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:33.486972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 801e9490-c023-4dec-9ba6-c6a56967a9e9 · outbound
This paper cites Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:53:15.042076Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41583a15-7754-4104-a2e6-91177d45ac3e · outbound
This paper cites Dual relation alignment for composed image retrieval, 2024.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Dual relation alignment for composed image retrieval, 2024
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:33.262667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 598d8020-d927-4caa-b978-23f2cbfc846d · outbound
This paper cites Clevr: A diagnostic dataset for compositional language and elementary visual reasoning.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Clevr: A diagnostic dataset for compositional language and elementary visual reasoning
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:32.967836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d4f6fc72-2db4-4e6e-a7f1-5fed4d5dbd9a · outbound
This paper cites Vision-by-language for training-free compositional image retrieval.International Conference on Learning Representations (ICLR), 2024.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Vision-by-language for training-free compositional image retrieval.International Conference on Learning Representations (ICLR), 2024
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:32.714545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 756ce0bd-bcf5-472e-918f-b14508a60a55 · outbound
This paper cites Segment Anything.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Segment Anything
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:53:15.534016Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5cbcdecb-0289-4851-a1f2-c27ba783af70 · outbound
This paper cites good4cir: Generating detailed synthetic captions for composed image retrieval, 2025.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval good4cir: Generating detailed synthetic captions for composed image retrieval, 2025
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:32.463828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6588d827-524b-42f3-a5d9-cad0809061b2 · outbound
This paper cites Set transformer: A framework for attention-based permutation-invariant neural networks.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Set transformer: A framework for attention-based permutation-invariant neural networks
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:32.217250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8f3ca08b-349e-4188-8e91-f3ace5477ec0 · outbound
This paper cites an unresolved cited work.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:53:31.986218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0a89f735-1b20-4135-b7b3-1e280971ec19 · outbound
This paper cites Language-driven semantic segmentation.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Language-driven semantic segmentation
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:29.090917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9b4b330b-b6f4-439a-b233-c13ba9881626 · outbound
This paper cites Visual-linguistic alignment and composition for image retrieval with text feedback.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Visual-linguistic alignment and composition for image retrieval with text feedback
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:28.801344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 681ecd32-8f77-4405-badf-3deebd23f8d2 · outbound
This paper cites Blip: Bootstrapping language-image pre-training for unified vision- language understanding and generation.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Blip: Bootstrapping language-image pre-training for unified vision- language understanding and generation
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:28.437227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6b34bb79-07ea-40ed-901b-2f9fc9a8beab · outbound
This paper cites Grounded language-image pre-training.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Grounded language-image pre-training
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:28.020897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2d405a9c-1a89-4252-8dfc-2f1cb19bdfbb · outbound
This paper cites Lawrence Zitnick.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Lawrence Zitnick
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:27.675395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 22033fd0-0fa2-49d6-8f93-a4a9cdbc8706 · outbound
This paper cites Visual instruction tuning.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Visual instruction tuning
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:27.299036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4d8630f8-b367-4e87-b3e0-7b93a9d4a8ff · outbound
This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:53:16.358127Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f050aa26-1349-4da4-8452-a8fd3622d3c9 · outbound
This paper cites Image retrieval on real-life images with pre-trained vision-and-language models.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Image retrieval on real-life images with pre-trained vision-and-language models
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:26.965663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 151029ad-8440-4250-a669-36bd70e1ad9a · outbound
This paper cites Cfir: Fast and effective long-text to image retrieval for large corpora,.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Cfir: Fast and effective long-text to image retrieval for large corpora,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:26.722582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 16da114a-0493-4ff6-83fe-ab7efd8391d4 · outbound
This paper cites Decoupled weight decay regularization.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Decoupled weight decay regularization
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:53:16.571774Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1dc25055-a045-4b8b-8484-286661570d8b · outbound
This paper cites an unresolved cited work.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:53:26.449126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3f7aa597-b34e-428e-aaca-51ba06c4bcaf · outbound
This paper cites Psomas, I.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Psomas, I
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:26.137636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 24e3afd7-7e4c-4fde-bf8c-58cb8792f21b · outbound
This paper cites an unresolved cited work.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:53:25.908521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f866e023-011f-409c-a8fb-349d33ddd9a2 · outbound
This paper cites Learning transferable visual models from natural language supervision.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Learning transferable visual models from natural language supervision
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:25.620101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 253076f7-02be-4dd2-babd-9b82be663122 · outbound
This paper cites Learning transferable visual models from natural language supervision.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Learning transferable visual models from natural language supervision
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:25.476334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d0f0a0cf-b19e-4c80-97be-fed33448eb41 · outbound
This paper cites Grounded sam: Assembling open-world models for diverse visual tasks, 2024.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Grounded sam: Assembling open-world models for diverse visual tasks, 2024
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:25.230668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4a667b63-3bc9-496a-a373-713ef595ccad · outbound
This paper cites Pic2word: Mapping pictures to words for zero-shot composed image retrieval.CVPR, 2023.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Pic2word: Mapping pictures to words for zero-shot composed image retrieval.CVPR, 2023
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:25.027558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d4bdc26f-1fd7-458b-826d-93d8afdf0257 · outbound
This paper cites Deep learning based large scale visual recommendation and search for e-commerce, 2017.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Deep learning based large scale visual recommendation and search for e-commerce, 2017
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:24.880532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7b1c9a3f-1111-4d75-9f48-283f93235647 · outbound
This paper cites Lime: Localized image editing via attention regularization in diffusion models, 2023.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Lime: Localized image editing via attention regularization in diffusion models, 2023
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:24.629061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d8274385-b0b4-440e-aaa7-ff631afc1145 · outbound
This paper cites Syncmask: Synchronized atten- tional masking for fashion-centric vision-language pretraining.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Syncmask: Synchronized atten- tional masking for fashion-centric vision-language pretraining
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:24.297438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 89191c24-4c69-4ece-92f4-f622f93684fb · outbound
This paper cites Fd-align: Feature discrimination alignment for fine-tuning pre-trained models in few-shot learning.NeurIPS,.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Fd-align: Feature discrimination alignment for fine-tuning pre-trained models in few-shot learning.NeurIPS,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:23.996150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d7c8675c-94a0-42f6-9d2e-cf0b92ebb1ba · outbound
This paper cites Hotels-50k: A global hotel recognition dataset.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Hotels-50k: A global hotel recognition dataset
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:23.782219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ac81a119-f6d7-4bc9-923b-f9c05486950d · outbound
This paper cites Sudhish, Latha R.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Sudhish, Latha R
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:23.609485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation eccdea3d-ed82-49a1-b789-a27536121295 · outbound
This paper cites A corpus of natural language for visual reasoning.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval A corpus of natural language for visual reasoning
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:23.373719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ac7fe180-e6dd-4ac2-b987-cec711878427 · outbound
This paper cites A corpus for reasoning about natural language grounded in photographs.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval A corpus for reasoning about natural language grounded in photographs
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:22.969195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation de0be5c8-e40d-42ff-8259-a95d2d9b9a82 · outbound
This paper cites Exploring clip for real world, text-based image retrieval.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Exploring clip for real world, text-based image retrieval
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:22.676266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3a28f359-cd90-4571-85c5-c83b505a390c · outbound
This paper cites Training-free Zero-shot Composed Image Retrieval with Local Concept Reranking.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Training-free Zero-shot Composed Image Retrieval with Local Concept Reranking
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:53:18.246700Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fd0e105-c94e-4c07-9696-723af3ff9aad · outbound
This paper cites V entura, A.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval V entura, A
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:22.425049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0a4996b6-d046-4046-8550-4d0996115a08 · outbound
This paper cites V entura, A.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval V entura, A
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:22.205913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c9ed4e7d-44af-402b-88e0-db1409bc26ea · outbound
This paper cites V entura, A.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval V entura, A
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:21.998457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 09f29962-04cf-4ac5-a6ad-3f8020165b14 · outbound
This paper cites Composing text and image for image retrieval-an empirical odyssey.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Composing text and image for image retrieval-an empirical odyssey
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:21.781822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation eac0e310-5951-482e-8f90-ae29091a6998 · outbound
This paper cites Contrastive region guidance: Improving grounding in vision-language models without training.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Contrastive region guidance: Improving grounding in vision-language models without training
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:21.575823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 182e85c0-1bb8-4ac9-9d7d-a57c05a0c883 · outbound
This paper cites Cross-modal feature alignment and fusion for composed image retrieval.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Cross-modal feature alignment and fusion for composed image retrieval
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:21.376439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 72bd1285-831b-4732-8082-1736ae7a6165 · outbound
This paper cites Dynamic prompt learning: Addressing cross-attention leakage for text-based image editing.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Dynamic prompt learning: Addressing cross-attention leakage for text-based image editing
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:21.233462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 56ea9133-6960-4cd4-a7e8-975aa0f8f92c · outbound
This paper cites T arget-guided composed image retrieval.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval T arget-guided composed image retrieval
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:21.113605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e0733654-2d8c-4067-85af-edd6a7518b65 · outbound
This paper cites The fashion iq dataset: Retrieving images by combining side information and relative natural language feedback.CVPR, 2021.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval The fashion iq dataset: Retrieving images by combining side information and relative natural language feedback.CVPR, 2021
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:20.894439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ab1e5f64-bc47-4674-9d49-71804d0ab630 · outbound
This paper cites Asymmetric Feature Fusion for Image Retrieval.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Asymmetric Feature Fusion for Image Retrieval
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:20.755138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e339a626-b098-459d-83e4-fa1565c36fad · outbound
This paper cites Align and retrieve: Composition and decomposition learning in image retrieval with text feedback.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Align and retrieve: Composition and decomposition learning in image retrieval with text feedback
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:20.637482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c0b607a7-5d25-4ebd-866d-c3e60425332b · outbound
This paper cites Ldre: Llm-based divergent reasoning and ensemble for zero-shot composed image retrieval.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Ldre: Llm-based divergent reasoning and ensemble for zero-shot composed image retrieval
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:20.530297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2c35fb94-e3e6-4786-b4bf-a649b9ea3e60 · outbound
This paper cites FILIP: Fine-grained Interactive Language-Image Pre-Training.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval FILIP: Fine-grained Interactive Language-Image Pre-Training
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:53:19.694499Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a853ded-7111-4fdf-b1ed-90146dfa2d63 · outbound
This paper cites Geo- localization via ground-to-satellite cross-view image retrieval.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Geo- localization via ground-to-satellite cross-view image retrieval
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:20.400919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5ae3a642-a2c6-471f-97ab-a8961500c948 · outbound
This paper cites Zhang, Y.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Zhang, Y
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:20.256362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 53454af1-95de-415c-9a12-738bf735cf95 · outbound
This paper cites Irgen: Generative modeling for image retrieval, 2024.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Irgen: Generative modeling for image retrieval, 2024
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:53:20.115089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Pith citing papers
No inbound Pith citation observations are available.