Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:27:06.804098Z
Paper Citation Record · LEDGER
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP
As of 8 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2505.24517.
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, observed 2026-08-04T16:52:56.122056Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
19 of 19 outbound references displayed
- verified exact0
- verified fuzzy11
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f8decafb-89d9-422c-8e51-12b366787cdd · outbound
This paper cites Diffusion feedback helps CLIP see better.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP Diffusion feedback helps CLIP see better
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:27:09.033380Z
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 2b0098d5-599b-4683-bec8-64439fc9930b · outbound
This paper cites GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:27:04.943789Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5cd51aa-8bbf-4623-a730-9047d014e94a · outbound
This paper cites High-resolution image synthesis with latent diffusion models.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP High-resolution image synthesis with latent diffusion models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:27:05.029316Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9685119f-158e-4797-aca5-ffda49f9e336 · outbound
This paper cites Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:27:08.853198Z
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 5a750fcb-d2a8-4465-b1a5-6f6cf941383d · outbound
This paper cites CLIPScore: A reference-free evaluation metric for image captioning.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP CLIPScore: A reference-free evaluation metric for image captioning
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:27:08.662957Z
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 a8ee72a1-d4c5-4330-a5c1-07e9e357b5b7 · outbound
This paper cites ImageNet: Alarge-scalehierarchical imagedatabase.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP ImageNet: Alarge-scalehierarchical imagedatabase
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:27:08.496592Z
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 450a6e0c-ebc1-49a8-9eea-85a30eb2d1e7 · outbound
This paper cites Learning multiple layers of features from tiny images.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP Learning multiple layers of features from tiny images
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:27:05.445687Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dac2d6b2-91ef-48ae-9261-cb508f2a8a55 · outbound
This paper cites Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:27:08.328385Z
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 9dc554cc-5143-40a2-bf09-1ffd4178d65c · outbound
This paper cites SUN database: Large-scale scene recognition from abbey to zoo.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP SUN database: Large-scale scene recognition from abbey to zoo
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:27:08.146328Z
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 b058fb0d-93bf-4129-9bb9-8bedd0dd5634 · outbound
This paper cites Fine-Grained Visual Classification of Aircraft.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP Fine-Grained Visual Classification of Aircraft
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:27:05.810939Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb23a36c-aac5-4c53-ad97-4ac07fab9df9 · outbound
This paper cites 3D object representations for fine-grained categorization.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP 3D object representations for fine-grained categorization
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:27:07.979623Z
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 04ae1e6c-089f-487c-bf8f-2cf426f8d10e · outbound
This paper cites Learning transferable visual models from natural language supervision.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP Learning transferable visual models from natural language supervision
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:27:07.864479Z
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 db4a49ef-ec28-454e-8f5d-f190b68c98fc · outbound
This paper cites Reproducible scaling laws for contrastive language-image learning.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP Reproducible scaling laws for contrastive language-image learning
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:27:06.207996Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34cb4615-b0c3-4ee6-92f6-f98d34176b37 · outbound
This paper cites Kingma and Max Welling.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP Kingma and Max Welling
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:27:06.305565Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8113b8a4-38b8-4481-8a74-9671483e6906 · outbound
This paper cites Sigmoid loss for language image pre-training.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP Sigmoid loss for language image pre-training
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:27:06.385555Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c4840e2-e6fb-41ee-bd03-61833601c4ce · outbound
This paper cites an unresolved cited work.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP Unresolved cited work
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:27:06.485464Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24a119c1-ab39-42ba-90a8-cd0bcce3bff1 · outbound
This paper cites Microsoft COCO: Common objects in context.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP Microsoft COCO: Common objects in context
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:27:07.592046Z
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 a6cf2a6a-7620-4174-90ab-90c378d3418f · outbound
This paper cites Maskedautoencoders are scalable vision learners.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP Maskedautoencoders are scalable vision learners
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:27:07.396381Z
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 bc77f57a-521b-4c72-8f61-d3d68647ff96 · outbound
This paper cites An empirical study of training self-supervised vision trans- formers.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP An empirical study of training self-supervised vision trans- formers
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:27:07.219444Z
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
Observation a18f549d-a4f2-4469-b88c-04a5501947f9 · inbound
Contextualized Multimodal Lifelong Person Re-Identification in Hybrid Clothing States cites this paper.
Contextualized Multimodal Lifelong Person Re-Identification in Hybrid Clothing States un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:52:56.122056Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.