Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-08T14:18:26.034732Z
Paper Citation Record · LEDGER
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition
As of 19 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2607.06185.
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 2026-08-19T06:32:44.657259+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
52 of 52 outbound references displayed
- verified exact1
- verified fuzzy49
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5f054b01-2446-40c3-9f4c-5d7df7dcf5a1 · outbound
This paper cites Zero-shot sketch-based image retrieval via adaptive relation-aware metric learning.Pattern Recognition, 152:110452, 2024.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Zero-shot sketch-based image retrieval via adaptive relation-aware metric learning.Pattern Recognition, 152:110452, 2024
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.739658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4257dea1-2f34-488d-8647-24340aea0992 · outbound
This paper cites Complementary two-branch transformer for multi-label image retrieval.Pattern Recognition, 168:111806, 2025.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Complementary two-branch transformer for multi-label image retrieval.Pattern Recognition, 168:111806, 2025
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.733909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c6bcdfc1-f9b7-4274-93b5-6220fd887b93 · outbound
This paper cites Changes to captions: An attentive network for remote sensing change captioning.IEEE Transactions on Image Processing, 32:6047–6060.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Changes to captions: An attentive network for remote sensing change captioning.IEEE Transactions on Image Processing, 32:6047–6060
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.759051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2619a5e9-4986-4e2e-9505-a776128d2e1e · outbound
This paper cites Reparameterizing and dynamically quantizing image features for image generation.Pattern Recognition, 146:109962, 2024.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Reparameterizing and dynamically quantizing image features for image generation.Pattern Recognition, 146:109962, 2024
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.765179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 457afc4a-fbff-47e4-b2c5-044ee1daecca · outbound
This paper cites Txt2img-mhn: Remote sensing image generation from text using modern hopfield networks.IEEE Transactions on Image Processing, 32:5737–5750, 2023.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Txt2img-mhn: Remote sensing image generation from text using modern hopfield networks.IEEE Transactions on Image Processing, 32:5737–5750, 2023
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.745153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8cab65bd-bc48-470e-8b87-d1954ace260d · outbound
This paper cites Fine grained food image recognition based on swin transformer.Journal of Food Engineering, 380:112134, 2024.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Fine grained food image recognition based on swin transformer.Journal of Food Engineering, 380:112134, 2024
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.756922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2a15d086-99f8-459b-a9e6-c9bb8ca40704 · outbound
This paper cites Convolution-enhanced bi-branch adaptive transformer with cross-task interaction for food category and ingredient recognition.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Convolution-enhanced bi-branch adaptive transformer with cross-task interaction for food category and ingredient recognition
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.708646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0e5bf17c-d22f-4446-95e4-6484bf41ee95 · outbound
This paper cites Synthesizing knowledge-enhanced features for real-world zero-shot food detection.IEEE Transactions on Image Processing, 33:1285–1298, 2024.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Synthesizing knowledge-enhanced features for real-world zero-shot food detection.IEEE Transactions on Image Processing, 33:1285–1298, 2024
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.701543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fd9f48da-440a-4d1b-8c27-3b0e0d2205f9 · outbound
This paper cites Food recommendation towards personalized wellbeing.Trends in Food Science & Technology, 156:104877, 2025.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Food recommendation towards personalized wellbeing.Trends in Food Science & Technology, 156:104877, 2025
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.804563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 760a09ca-7194-4ac9-8175-0c6f8a660621 · outbound
This paper cites Large scale visual food recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8):9932–9949.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Large scale visual food recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8):9932–9949
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.720127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ba2339bd-0f9a-44fe-8cd1-35132eea04eb · outbound
This paper cites Instance-level few-shot learning with class hierarchy mining.IEEE Transactions on Image Processing, 32:2374–2385, 2023.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Instance-level few-shot learning with class hierarchy mining.IEEE Transactions on Image Processing, 32:2374–2385, 2023
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.731885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ec300e6a-f8b0-47bc-abbb-3e228c2e1453 · outbound
This paper cites Learning transferable visual models from natural language supervision.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Learning transferable visual models from natural language supervision
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.713043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 357c78c1-2237-413a-bb6f-645cf057a416 · outbound
This paper cites Learning to prompt for vision-language models.International Journal of Computer Vision, 130(9):2337–2348, 2022.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Learning to prompt for vision-language models.International Journal of Computer Vision, 130(9):2337–2348, 2022
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.703943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b80f3659-15af-4c29-993e-2ad629acaaaf · outbound
This paper cites Conditional prompt learning for vision-language models.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Conditional prompt learning for vision-language models
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.808991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c5b61138-780c-4961-93b4-9ed13c01ac5b · outbound
This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Scaling up visual and vision-language representation learning with noisy text supervision
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.754630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 39edc55c-b16c-496a-a4e8-a2a8d3518546 · outbound
This paper cites Blip: Bootstrapping language-image pre- training for unified vision-language understanding and generation.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Blip: Bootstrapping language-image pre- training for unified vision-language understanding and generation
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.699003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3be98d7b-a8cd-4b75-8772-11e8ff4d572d · outbound
This paper cites Effective conditioned and composed image retrieval combining clip-based features.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Effective conditioned and composed image retrieval combining clip-based features
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.729902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dbb08f34-6117-49e2-8a5b-6b87f42b3ace · outbound
This paper cites Clip for all things zero-shot sketch-based image retrieval, fine-grained or not.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Clip for all things zero-shot sketch-based image retrieval, fine-grained or not
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.761072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 35c1f510-3ba8-4218-8af8-e3c46500e141 · outbound
This paper cites Cris: Clip-driven referring image segmentation.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Cris: Clip-driven referring image segmentation
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.763079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ebc3f107-5f7b-4f43-9328-4c4bceb27e7d · outbound
This paper cites Image segmentation using text and image prompts.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Image segmentation using text and image prompts
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.693933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5af87730-fc17-4f9d-8d47-e5fb51277c6f · outbound
This paper cites an unresolved cited work.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T14:25:02.696427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 554e929e-f92c-4534-9c7d-5f60a82419cc · outbound
This paper cites Maple: Multi-modal prompt learning.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Maple: Multi-modal prompt learning
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.773208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 270522b3-e5ac-49e4-84ef-d31d12945800 · outbound
This paper cites Self-regulating prompts: Foundational model adaptation without forgetting.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Self-regulating prompts: Foundational model adaptation without forgetting
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.686924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0a195ef6-56c2-471d-9a5c-6b837849538f · outbound
This paper cites Dgprompt: Dual-guidance prompts generation for vision-language models.Neural Networks, page 107472, 2025.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Dgprompt: Dual-guidance prompts generation for vision-language models.Neural Networks, page 107472, 2025
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.690988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1214e3ef-99e2-416c-94e6-36fec492cc85 · outbound
This paper cites Prompt distribution learning.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Prompt distribution learning
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.770597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4dde492b-c5b0-4e74-be96-f7c94f65f08e · outbound
This paper cites Visual-language prompt tuning with knowledge- guided context optimization.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Visual-language prompt tuning with knowledge- guided context optimization
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.711039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a8e48d72-6fcf-4e7f-bcfd-f40597b12b3c · outbound
This paper cites Tcp: Textual-based class-aware prompt tuning for visual-language model.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Tcp: Textual-based class-aware prompt tuning for visual-language model
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.747689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a8113e8f-ea49-4745-899f-d6c2ec448aa4 · outbound
This paper cites Bayesian test-time adaptation for vision-language models.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Bayesian test-time adaptation for vision-language models
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.736706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 846f8cc3-598c-4f7c-84c4-274d24a36295 · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition An image is worth 16x16 words: Transformers for image recognition at scale
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.775277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3c412cbb-1321-4ef8-a713-af04d478f521 · outbound
This paper cites Deep residual learning for image recognition.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Deep residual learning for image recognition
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.777486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ff4fd1c5-8ed6-4cce-91a5-7f9ad1a0216e · outbound
This paper cites Long-clip: Unlocking the long-text capability of clip.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Long-clip: Unlocking the long-text capability of clip
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.798454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2deaf816-289c-471d-8307-5091649cbce7 · outbound
This paper cites Extensions of lipschitz mappings into a hilbert space.Contemporary mathematics, 26(189-206):1.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Extensions of lipschitz mappings into a hilbert space.Contemporary mathematics, 26(189-206):1
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.768099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation aaa8efd3-27d5-45b5-b5a4-75ab60e08c38 · outbound
This paper cites A short proof of the marchenko–pastur theorem.Comptes Rendus Mathematique, 354(3):319–322, 2016.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition A short proof of the marchenko–pastur theorem.Comptes Rendus Mathematique, 354(3):319–322, 2016
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.800648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e5480c41-cef2-4463-8bca-9bae5d8e43e7 · outbound
This paper cites A new dataset of dog breed images and a benchmark for finegrained classification.Computational Visual Media, 6:477–487, 2020.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition A new dataset of dog breed images and a benchmark for finegrained classification.Computational Visual Media, 6:477–487, 2020
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.742468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b239ff54-d106-4862-8476-b2975bd19fb5 · outbound
This paper cites Cats and dogs.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Cats and dogs
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.706123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4157ee8b-cafe-4175-97dc-03803059fbaf · outbound
This paper cites Automated flower classification over a large number of classes.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Automated flower classification over a large number of classes
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.750211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 338b57ee-4c07-49c7-b897-24a6ee23249d · outbound
This paper cites 3d object representations for fine-grained categorization.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition 3d object representations for fine-grained categorization
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.788095Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0a3fbc71-fbe6-4122-bdf4-7cef068129da · outbound
This paper cites Webly supervised fine-grained recognition: Benchmark datasets and an approach.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Webly supervised fine-grained recognition: Benchmark datasets and an approach
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.752440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 040dc5e9-876e-40d8-8ccb-dac6f68452be · outbound
This paper cites Novel dataset for fine-grained image categorization.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Novel dataset for fine-grained image categorization
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.714993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e1048885-7b5b-48a8-90f5-a15f5332079d · outbound
This paper cites an unresolved cited work.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T14:25:02.722854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7f7b42c4-4c04-498e-9499-b78ac6376642 · outbound
This paper cites Vegfru: A domain-specific dataset for fine-grained visual categorization.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Vegfru: A domain-specific dataset for fine-grained visual categorization
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.717846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4b900c35-f052-492b-885c-a9e2cbeb83a2 · outbound
This paper cites The caltech-ucsd birds-200-2011 dataset.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition The caltech-ucsd birds-200-2011 dataset
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.725340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a5fd430f-d530-45c1-9cf3-48da24703349 · outbound
This paper cites Food-101–mining discriminative components with random forests.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Food-101–mining discriminative components with random forests
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.790757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 14e37b16-97cf-4de7-8120-73d186426ce5 · outbound
This paper cites Deep-based ingredient recognition for cooking recipe retrieval.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Deep-based ingredient recognition for cooking recipe retrieval
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.782345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 34169aeb-c088-4d19-8626-52462a2e8e79 · outbound
This paper cites Ingredient-guided cascaded multi-attention network for food recognition.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Ingredient-guided cascaded multi-attention network for food recognition
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.727864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f382d94b-2ba0-40bd-9d7e-ba71bf8a0ef8 · outbound
This paper cites Isia food-500: A dataset for large-scale food recognition via stacked global-local attention network.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Isia food-500: A dataset for large-scale food recognition via stacked global-local attention network
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.779786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 189848be-6a95-4b27-b490-9dde6306de03 · outbound
This paper cites Fine-Grained Visual Classification of Aircraft.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Fine-Grained Visual Classification of Aircraft
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T14:25:02.446980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f3ebdea0-49b9-4a08-9e4f-b80ee2da92f2 · outbound
This paper cites Learning to prompt with text only supervision for vision-language models.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Learning to prompt with text only supervision for vision-language models
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.793349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d60c7baa-4c33-4239-9e11-cb9e5b536ba2 · outbound
This paper cites Advancing textual prompt learning with anchored attributes.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Advancing textual prompt learning with anchored attributes
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.806514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5a6b2106-d663-431a-aaaa-5a588a737876 · outbound
This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Grad-cam: Visual explanations from deep networks via gradient-based localization
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.795986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bb278ed3-4a3d-48d1-9d98-7ee7668426c2 · outbound
This paper cites Visual prompt tuning.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Visual prompt tuning
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.802529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 02ae27a1-5690-42fc-a5e1-298765e2267c · outbound
This paper cites Dualprompt: Complementary prompting for rehearsal-free continual learning.
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition Dualprompt: Complementary prompting for rehearsal-free continual learning
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T14:25:02.785403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
No inbound Pith citation observations are available.