Paper Citation Record · LEDGER

Dynamic Double Space Tower

As of 7 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2506.11394.

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

pith.paper-citation-record.v1
2506.11394 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:17:13.511653Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy18
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ee2554a-4e3f-47d9-a7ed-85999a5d2440 · outbound

This paper cites Vlmo: Unified vision-language pre-training with mixture-of-modality- experts.Advances in Neural Information Processing Systems, 35:32897– 32912, 2022.

Dynamic Double Space Tower Vlmo: Unified vision-language pre-training with mixture-of-modality- experts.Advances in Neural Information Processing Systems, 35:32897– 32912, 2022

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:13.852390Z

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 64a4ce27-2263-4662-8c58-e5dbbc9a6d43 · outbound

This paper cites Automatic image processing algorithm for light en- vironment optimization based on multimodal neural network model.

Dynamic Double Space Tower Automatic image processing algorithm for light en- vironment optimization based on multimodal neural network model

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:13.839730Z

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 6d14dfc7-c2a4-4d11-94d4-0965ac10fe38 · outbound

This paper cites Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers.

Dynamic Double Space Tower Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:11.568995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efb9c132-48dc-4168-a432-5bab3131f780 · outbound

This paper cites Crd-cgan: Category- consistent and relativistic constraints for diverse text-to-image genera- tion.Frontiers of Computer Science, 18(1):181304, 2024.

Dynamic Double Space Tower Crd-cgan: Category- consistent and relativistic constraints for diverse text-to-image genera- tion.Frontiers of Computer Science, 18(1):181304, 2024

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:13.828212Z

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 6c27e62d-cf40-4b8a-9b99-f2304d711fe0 · outbound

This paper cites Language is not all you need: Aligning perception with language models.Advances in Neural Information Processing Systems, 36:72096–72109, 2023.

Dynamic Double Space Tower Language is not all you need: Aligning perception with language models.Advances in Neural Information Processing Systems, 36:72096–72109, 2023

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:11.729641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 997e328b-d07a-4303-a413-c620ce70107f · outbound

This paper cites Adaptive frequency filters as efficient global token mixers.

Dynamic Double Space Tower Adaptive frequency filters as efficient global token mixers

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:13.808899Z

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 652a7d99-1a96-4c3a-9a7b-f983e21c0b8f · outbound

This paper cites Fast and efficient image generation using variational autoencoders and k-nearest neighbor oversampling approach.IEEE Access, 11:28416–28426, 2023.

Dynamic Double Space Tower Fast and efficient image generation using variational autoencoders and k-nearest neighbor oversampling approach.IEEE Access, 11:28416–28426, 2023

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:13.797972Z

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 84c0dcfb-5891-42db-a631-7b2bc7dee714 · outbound

This paper cites An underwater image enhancement method for a preprocessing framework based on generative adversarial network.

Dynamic Double Space Tower An underwater image enhancement method for a preprocessing framework based on generative adversarial network

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:12.054278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfce1f02-9110-4472-a210-b8e05c351724 · outbound

This paper cites Vilt: Vision-and-language transformer without convolution or region supervision.

Dynamic Double Space Tower Vilt: Vision-and-language transformer without convolution or region supervision

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:12.170428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b57dd18e-70b2-4b95-a98a-399ed3c1cae8 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Dynamic Double Space Tower Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:12.308005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2e08b0c-b49c-4ac7-8d70-3d52caf02dcb · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

Dynamic Double Space Tower Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:12.404272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce767d57-3e30-4039-923e-eb69432e3823 · outbound

This paper cites Align before fuse: Vision and language representation learning with momentum distillation.Ad- vances in neural information processing systems, 34:9694–9705, 2021.

Dynamic Double Space Tower Align before fuse: Vision and language representation learning with momentum distillation.Ad- vances in neural information processing systems, 34:9694–9705, 2021

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:13.758367Z

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 b8d93450-37ea-40c6-8ed9-3283ec429749 · outbound

This paper cites Vision-Language Foundation Models as Effective Robot Imitators.

Dynamic Double Space Tower Vision-Language Foundation Models as Effective Robot Imitators

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:12.492546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cd849a6-ab6a-41f2-8f2d-61ce29824489 · outbound

This paper cites Scaling language-image pre-training via masking.

Dynamic Double Space Tower Scaling language-image pre-training via masking

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:12.613233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b2b601b-9d4d-4f67-bc34-06dd1e7ccf20 · outbound

This paper cites Novel creation method of feature graphics for image generation based on deep learning algorithms.Mathematics, 11(7):1644, 2023.

Dynamic Double Space Tower Novel creation method of feature graphics for image generation based on deep learning algorithms.Mathematics, 11(7):1644, 2023

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:13.741337Z

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 fb5ef665-3a58-4d20-b535-a5e33a9ed14c · outbound

This paper cites an unresolved cited work.

Dynamic Double Space Tower Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:12.773924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 341bb5db-6e4a-49a7-802c-c1d0d76476fc · outbound

This paper cites Cogan: Cooperatively trained conditional and unconditional gan for person image generation.IET Image Processing, 17(10):2949–2957, 2023.

Dynamic Double Space Tower Cogan: Cooperatively trained conditional and unconditional gan for person image generation.IET Image Processing, 17(10):2949–2957, 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:13.723520Z

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 7c70532d-9149-4273-a9ce-ae48a5ddc472 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Dynamic Double Space Tower Learning transferable visual models from natural language supervision

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:12.983293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9046f831-bdad-4043-9c2a-a86887d57e74 · outbound

This paper cites Explor- ing the limits of transfer learning with a unified text-to-text transformer.

Dynamic Double Space Tower Explor- ing the limits of transfer learning with a unified text-to-text transformer

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:13.706656Z

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 2d1cf329-3b17-4b39-aaf6-da15e7ce2382 · outbound

This paper cites Generative multimodal models are in-context learners.

Dynamic Double Space Tower Generative multimodal models are in-context learners

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:13.157050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2685beb0-f2e6-4d7b-b213-e0e7229fd173 · outbound

This paper cites Attentional generative adversarial networks with representativeness and diversity for generating text to realistic image.

Dynamic Double Space Tower Attentional generative adversarial networks with representativeness and diversity for generating text to realistic image

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:13.178366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4febf527-da3b-4c14-8fea-780f181a9986 · outbound

This paper cites Improving the quality of image generation in art with top-k training and cyclic generative methods.Scientific Reports, 13(1):17764, 2023.

Dynamic Double Space Tower Improving the quality of image generation in art with top-k training and cyclic generative methods.Scientific Reports, 13(1):17764, 2023

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:13.681676Z

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 9e6154f1-0825-44e7-935b-01ccc9374607 · outbound

This paper cites Image generation and recognition technology based on attention residual gan.IEEE Access, 11:61855–61865, 2023.

Dynamic Double Space Tower Image generation and recognition technology based on attention residual gan.IEEE Access, 11:61855–61865, 2023

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:13.670548Z

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 a0c4a0fe-1d9c-44f8-ac7e-2790fe8489a3 · outbound

This paper cites Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks.

Dynamic Double Space Tower Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:13.482132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f3c23a7-2aa4-4ac8-950c-3a96d90d0ee4 · outbound

This paper cites Rca-gan: An improved image denoising algorithm based on generative adversarial networks.Electronics, 12(22):4595, 2023.

Dynamic Double Space Tower Rca-gan: An improved image denoising algorithm based on generative adversarial networks.Electronics, 12(22):4595, 2023

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:13.660337Z

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 83948ee1-bb3f-474a-bc95-7e082fe83088 · outbound

This paper cites GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing.

Dynamic Double Space Tower GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:13.490072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fa7ffac-ff5f-47da-9a0e-41ee4a18dc99 · outbound

This paper cites Lpgan: A lbp-based proportional input generative adversarial network for image fusion.Remote Sensing, 15(9):2440, 2023.

Dynamic Double Space Tower Lpgan: A lbp-based proportional input generative adversarial network for image fusion.Remote Sensing, 15(9):2440, 2023

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:13.648462Z

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 8b1a51fb-2b87-439b-8b56-78342f50573b · outbound

This paper cites Vsa: Learning varied-size window attention in vision transformers.

Dynamic Double Space Tower Vsa: Learning varied-size window attention in vision transformers

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:13.637472Z

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 9806f75a-ad90-4c42-bc93-aaf442342503 · outbound

This paper cites Joint generative image deblurring aided by edge attention prior and dynamic kernel selection.Wireless Communications and Mobile Computing, 2021(1):1391801, 2021.

Dynamic Double Space Tower Joint generative image deblurring aided by edge attention prior and dynamic kernel selection.Wireless Communications and Mobile Computing, 2021(1):1391801, 2021

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:13.626691Z

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 9b2afdaf-3926-404c-9fd8-ff7e69409b44 · outbound

This paper cites Cyclic generative attention- adversarial network for low-light image enhancement.Sensors, 23(15):6990, 2023.

Dynamic Double Space Tower Cyclic generative attention- adversarial network for low-light image enhancement.Sensors, 23(15):6990, 2023

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:13.615291Z

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 b5551864-6a3b-4c17-a58c-5f58b9da0d85 · outbound

This paper cites Adapt or perish: Adaptive sparse transformer with attentive feature refinement for image restoration.

Dynamic Double Space Tower Adapt or perish: Adaptive sparse transformer with attentive feature refinement for image restoration

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:13.603033Z

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 64a89c29-bdc1-408c-874f-a322c38c3389 · outbound

This paper cites Wdig: a wavelet domain image generation framework based on frequency domain op- timization.EURASIP Journal on Advances in Signal Processing, 2023(1):66, 2023.

Dynamic Double Space Tower Wdig: a wavelet domain image generation framework based on frequency domain op- timization.EURASIP Journal on Advances in Signal Processing, 2023(1):66, 2023

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:13.590140Z

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.