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Paper Citation Record · LEDGER

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy

As of 12 August 2026, this Paper Citation Record lists 100 of 108 outbound references and 0 inbound Pith citation observations for arXiv:2508.03596.

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

pith.paper-citation-record.v1
2508.03596 v1

Coverage vector

measured 100 of 108 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:24:28.358743Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

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

measured 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

100 of 108 outbound references displayed

  • verified exact3
  • verified fuzzy54
  • unresolved43
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c2224d72-0a73-457b-9851-adf8b44f9f42 · outbound

This paper cites write newline.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy write newline

Reference 1

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source=arxiv_source observed=2026-08-06T04:24:17.596590Z digest=sha256:561b5e9247e623d2f8dd1e7c5608504e19595bf90f12adfa48a3223945dc9639

Observation cdfc9ef2-08c1-4cd8-9a29-8892f4ec786a · outbound

This paper cites Endoscopy artifact detection (EAD 2019) challenge dataset.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Endoscopy artifact detection (EAD 2019) challenge dataset

Reference 2

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local_arxiv, observed 2026-08-06T04:24:30.042737Z

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source=arxiv_source observed=2026-08-06T04:24:17.662347Z digest=sha256:b970169cb39c2c10f253a81fadb001d791508c251696fc8d864f532bc409e3fd

Observation b96bbd1b-e253-4a52-b0f8-3643513f9ee4 · outbound

This paper cites Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge

Reference 3

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source=arxiv_source observed=2026-08-06T04:24:17.821444Z digest=sha256:5b6b098872c4bcb9f0239c55a5d4f1a14906e2a296217d018aa71c8b24c7fe59

Observation 05417bc0-0e9b-43da-b06c-59386e1d3d5e · outbound

This paper cites 2017 Robotic Instrument Segmentation Challenge.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy 2017 Robotic Instrument Segmentation Challenge

Reference 4

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source=arxiv_source observed=2026-08-06T04:24:17.991266Z digest=sha256:8f4d2239eb9b09d42dcc970b77cf526617cc9dd7337fea33921600f137c04f33

Observation 5c1adeb7-0c04-474e-97a1-a52c08491637 · outbound

This paper cites 2018 Robotic Scene Segmentation Challenge.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy 2018 Robotic Scene Segmentation Challenge

Reference 5

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source=arxiv_source observed=2026-08-06T04:24:18.148307Z digest=sha256:cfc325e61acad5b3d7eba391744c3842a91fbcfd2b70dd14660aa2b482a68eed

Observation f1dd7139-95f2-4d67-a44a-3209edd9575f · outbound

This paper cites Deep convolutional neural networks to predict mutual coupling effects in metasurfaces.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Deep convolutional neural networks to predict mutual coupling effects in metasurfaces

Reference 6

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Observation c4f136db-66dc-4e49-9bc9-9cc9932f052f · outbound

This paper cites Medical image segmentation review: The success of u-net.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Medical image segmentation review: The success of u-net

Reference 7

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source=arxiv_source observed=2026-08-06T04:24:18.458232Z digest=sha256:408559a1c86a6793051b1d142244f98588f2491d7b4e4b7e2bf217de52bf6942

Observation 9990a119-1360-4197-8cef-8552100a7cd9 · outbound

This paper cites Towards automatic polyp detection with a polyp appearance model.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Towards automatic polyp detection with a polyp appearance model

Reference 8

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source=arxiv_source observed=2026-08-06T04:24:18.591484Z digest=sha256:8a3eb177d573fcbf3fb3eb003069fd29bcd4d0d632cd3d16d0e57ee7a0b854a3

Observation f69bc316-cf1b-41be-8cca-204f6fd3efb1 · outbound

This paper cites Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs

Reference 9

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source=arxiv_source observed=2026-08-06T04:24:18.748875Z digest=sha256:0c6e7e514f04310852d1ae7185d583d92c1de383fa40fa0df9b8a38310375e40

Observation d5950081-752e-4c02-bf1b-b954528298d7 · outbound

This paper cites Hyperkvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Hyperkvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

Reference 10

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source=arxiv_source observed=2026-08-06T04:24:18.929780Z digest=sha256:17ca37ee7c68cd8dc5338cb82d6cc814ca7ca357957fe15cac9f15f90e5c9a1c

Observation 27f05f92-e94d-46a8-af98-9f1421711ee3 · outbound

This paper cites Principles of optics: electromagnetic theory of propagation, interference and diffraction of light.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Principles of optics: electromagnetic theory of propagation, interference and diffraction of light

Reference 11

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source=arxiv_source observed=2026-08-06T04:24:19.053646Z digest=sha256:5e68059f8bdffdea7c7ee42e8edc3241e58533c9d4ad838a12fc310a99340f3f

Observation 671fbf30-7895-4354-9a13-07ec9563d363 · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 12

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source=arxiv_source observed=2026-08-06T04:24:19.185870Z digest=sha256:be7d0c29f33e84ca6002c606f9be546f19df2b3211900ef693e37b33816abf95

Observation 39247392-0864-49d1-89f9-5f4b518c59cf · outbound

This paper cites Simple baselines for image restoration.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Simple baselines for image restoration

Reference 13

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source=arxiv_source observed=2026-08-06T04:24:19.321627Z digest=sha256:472a0af987ba7d6e56d081b5c80cacf6264266e65c19a6fc190d9b3b9ad6691b

Observation 2f4c5d54-0534-4d36-ad7a-3c3b24b6eee8 · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 14

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Observation f0ef1ff5-3cb0-4004-8f4f-03bfa18f09fb · outbound

This paper cites Artificial intelligence in meta-optics.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Artificial intelligence in meta-optics

Reference 15

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source=arxiv_source observed=2026-08-06T04:24:19.610545Z digest=sha256:96cb8d835482639d43c7c9de8eb0f028651fb4436f30e1b4a6bfd6a2f90ef6c6

Observation e47a5975-3d11-4b78-8426-1136aecbcb9c · outbound

This paper cites A meta-device for intelligent depth perception.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy A meta-device for intelligent depth perception

Reference 16

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source=arxiv_source observed=2026-08-06T04:24:19.696448Z digest=sha256:fba88a7992e0ffa0fb4ecc76335f36d2f38531af7148832940dc8db68a4eef89

Observation 7fc2f8f0-784d-47a0-b595-7cdcff58db59 · outbound

This paper cites A broadband achromatic metalens for focusing and imaging in the visible.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy A broadband achromatic metalens for focusing and imaging in the visible

Reference 17

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source=arxiv_source observed=2026-08-06T04:24:19.792787Z digest=sha256:f7dcfa8e15a444af2d8d3a2b43214adfe91271b1fa80012eba8e0877a25c6515

Observation bca3e43f-9bb3-4953-8faf-1b7ecf04487d · outbound

This paper cites Bidirectional multi-scale implicit neural representations for image deraining.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Bidirectional multi-scale implicit neural representations for image deraining

Reference 18

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source=arxiv_source observed=2026-08-06T04:24:19.935154Z digest=sha256:bcf87ebfedcb74f3ea7cfa0f00215f3fcef4f8e17fdd0dcab39aa53dbb66882e

Observation a6ce3c3e-d4d6-4f5c-88be-1efa03e79c3c · outbound

This paper cites Medical federated learning with joint graph purification for noisy label learning.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Medical federated learning with joint graph purification for noisy label learning

Reference 19

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source=arxiv_source observed=2026-08-06T04:24:20.037088Z digest=sha256:fe8be66ad9b5a29f34fa8b23b9e03db21375ba9cf4435275bcb863426d5851a3

Observation cc8e6368-9254-417f-8d95-9db61677495d · outbound

This paper cites Schwing, Alexander Kirillov, and Rohit Girdhar.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Schwing, Alexander Kirillov, and Rohit Girdhar

Reference 20

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source=arxiv_source observed=2026-08-06T04:24:20.168053Z digest=sha256:dee7e94b768662643b483c99fce989b85a3125c628fb99b1e2a5aef984a78a09

Observation aaedc21b-4199-4d16-8ca5-3f4255e2d2c9 · outbound

This paper cites In vivo intelligent fluorescence endo-microscopy by varifocal meta-device and deep learning.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy In vivo intelligent fluorescence endo-microscopy by varifocal meta-device and deep learning

Reference 21

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source=arxiv_source observed=2026-08-06T04:24:20.268162Z digest=sha256:e3755862c1febabf254db94beae0bee6f2bf2fd5a6e9d985fb75d00c8a59b415

Observation f505a3c0-a447-4337-a477-f7faf7971351 · outbound

This paper cites 3d u-net: learning dense volumetric segmentation from sparse annotation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy 3d u-net: learning dense volumetric segmentation from sparse annotation

Reference 22

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source=arxiv_source observed=2026-08-06T04:24:20.359111Z digest=sha256:b841c88165569983fc79e1b33c2e5ef9126c3de23e970bd2b87750e8b994b375

Observation 93cd2c22-36e6-4e48-989c-3971b6000db2 · outbound

This paper cites Second-order attention network for single image super-resolution.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Second-order attention network for single image super-resolution

Reference 23

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source=arxiv_source observed=2026-08-06T04:24:20.441348Z digest=sha256:8cb25f6d0a3a55be76b16036213d2ed8e19a8fe631644f32c34b5924b504651a

Observation 33f9b40e-c3a2-4e5f-bbff-940622e3b743 · outbound

This paper cites Achromatic single metalens imaging via deep neural network.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Achromatic single metalens imaging via deep neural network

Reference 24

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source=arxiv_source observed=2026-08-06T04:24:20.543995Z digest=sha256:099ce5c561dd0edb1d149e3ad159f9717d062d695bba5514632d34008a45452f

Observation b9475526-4bdb-4565-91eb-e47b32f2cef6 · outbound

This paper cites Selective feature aggregation network with area-boundary constraints for polyp segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Selective feature aggregation network with area-boundary constraints for polyp segmentation

Reference 25

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source=arxiv_source observed=2026-08-06T04:24:20.637690Z digest=sha256:f644e5e6eaf890c56728cc4a4583a243e8703770b4034bd30016eddbf485dd9d

Observation 65a40eda-a3f4-4913-bd96-75841059e770 · outbound

This paper cites Mambair: A simple baseline for image restoration with state-space model.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Mambair: A simple baseline for image restoration with state-space model

Reference 26

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source=arxiv_source observed=2026-08-06T04:24:20.709740Z digest=sha256:b598c8b17a5e04aa2e5b13966473efc6448069c0fdda5cfd9dc898ba0a6817d0

Observation 4f61fee0-c88c-427d-ab0f-cdefc5db99dc · outbound

This paper cites SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation

Reference 27

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source=arxiv_source observed=2026-08-06T04:24:20.787001Z digest=sha256:f4d841227757c369238bdd33f906c08aaca88b32dc862e8b53dd490d92fb9482

Observation 5f6057fd-04ab-4345-b48f-45acf8b2a74d · outbound

This paper cites Single image haze removal using dark channel prior.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Single image haze removal using dark channel prior

Reference 28

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source=arxiv_source observed=2026-08-06T04:24:20.852741Z digest=sha256:9ccd449777fe02ebdccbf4bddd61e9acd360fd84487a6ee2ed1d06ffbf9738f1

Observation ea1d9188-6004-48ee-a3de-b7718dd88662 · outbound

This paper cites Learn2reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Learn2reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Reference 29

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Observation 515ed5d3-74b3-4600-b0ab-cae3181fef3e · outbound

This paper cites Denoising diffusion probabilistic models.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Denoising diffusion probabilistic models

Reference 30

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Observation 806d2e4c-98b1-4237-84b8-7d2c3b2ab194 · outbound

This paper cites High-resolution metalens imaging with sequential artificial intelligence models.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy High-resolution metalens imaging with sequential artificial intelligence models

Reference 31

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Observation 85ea8336-177e-4298-aa0f-c98e4beb3b85 · outbound

This paper cites Multi-view masked contrastive representation learning for endoscopic video analysis.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Multi-view masked contrastive representation learning for endoscopic video analysis

Reference 32

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source=arxiv_source observed=2026-08-06T04:24:21.146353Z digest=sha256:b22fab593624c47dc0665f291846643d8d99a602bf27180bfcbfcf2b5774eb56

Observation f9691b42-8b1c-4a9e-acac-a89813ceecbc · outbound

This paper cites nnu-net: a self-configuring method for deep learning-based biomedical image segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy nnu-net: a self-configuring method for deep learning-based biomedical image segmentation

Reference 33

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source=arxiv_source observed=2026-08-06T04:24:21.225393Z digest=sha256:a308627727f4f3afb0e408eabada3ba805638cae518d5148ff65d0c36a2490ff

Observation 9ecb30c7-fb40-4aeb-9a18-57405f3796ad · outbound

This paper cites Kvasir-seg: A segmented polyp dataset.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Kvasir-seg: A segmented polyp dataset

Reference 34

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raw_fallback, observed 2026-08-06T04:24:44.409617Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:21.287906Z digest=sha256:dfc87ad00a11d98834cf6b8a6062985af7411e1de66a4774d3ea7228eb9de262

Observation 2ecfccbf-c6f6-4c07-b8cd-3452d8781f63 · outbound

This paper cites Kvasir-instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Kvasir-instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy

Reference 35

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raw_fallback, observed 2026-08-06T04:24:44.258775Z

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

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Observation 6d54a49b-893b-4816-8a4c-afed982c391e · outbound

This paper cites Free-form diffractive metagrating design based on generative adversarial networks.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Free-form diffractive metagrating design based on generative adversarial networks

Reference 36

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source=arxiv_source observed=2026-08-06T04:24:21.507623Z digest=sha256:6e1dc90a90b08586ef0ee888747ed1a16d105635584852c36148f4658399b07e

Observation de28edce-0bbc-465b-aa33-c281de6b859e · outbound

This paper cites When fast fourier transform meets transformer for image restoration.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy When fast fourier transform meets transformer for image restoration

Reference 37

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raw_fallback, observed 2026-08-06T04:24:43.828078Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:21.652460Z digest=sha256:e24609b94c52b17fec921d2fd320e41c8c3ecd53968b235756dd03d0fcd369b3

Observation f3b85ddd-4ae2-4348-b31a-ac5d7e060aef · outbound

This paper cites Secure, privacy-preserving and federated machine learning in medical imaging.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Secure, privacy-preserving and federated machine learning in medical imaging

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T04:24:21.796843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:24:21.796843Z digest=sha256:4b8bc729a0804840f7723709c80593c33bc7e8a7970dfa427972e3a4261da485

Observation dc505fa3-6963-48ec-bc46-08310e6f4f60 · outbound

This paper cites Metalenses at visible wavelengths: Diffraction-limited focusing and subwavelength resolution imaging.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Metalenses at visible wavelengths: Diffraction-limited focusing and subwavelength resolution imaging

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:43.620165Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:21.853372Z digest=sha256:39de350e113e4b170a086b4e24c08fe137621f9e98f2aafe9bcd49f70e0b6690

Observation 776f4833-b0b6-4b9b-b42f-e3f52e1fa84a · outbound

This paper cites Accurate image super-resolution using very deep convolutional networks.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Accurate image super-resolution using very deep convolutional networks

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:43.396640Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:21.944807Z digest=sha256:3d36bf27da5df736b13417608282dc0560f1c213cb76ec7bd307918a14121f44

Observation b28ad5db-17ed-4924-9507-7dd7d0ba592a · outbound

This paper cites Auto-Encoding Variational Bayes.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Auto-Encoding Variational Bayes

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T04:24:22.096349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:24:22.096349Z digest=sha256:c73ae684a61b456d4d5fac583e56838463362b6ad9cb4e3e756ccd1f22ad1ee5

Observation 8cc4dbec-43b1-4f45-b76f-c04c62e52628 · outbound

This paper cites Computer-aided detection of bleeding regions for capsule endoscopy images.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Computer-aided detection of bleeding regions for capsule endoscopy images

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:43.244539Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:22.220038Z digest=sha256:ac8be598f3a30bbee43091c1797fa770b845268296b2a248c989e23c6bd5d21f

Observation 4672c5da-f76e-4840-8b9d-e95d773f7418 · outbound

This paper cites Flaws can be applause: Unleashing potential of segmenting ambiguous objects in sam.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Flaws can be applause: Unleashing potential of segmenting ambiguous objects in sam

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:43.057865Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:22.321580Z digest=sha256:aa01d26c997da086c824841b7c6017f09fecf4e62460405e592c6b7e8496458a

Observation af73d97f-7730-43c0-9fd4-5fabd2259acc · outbound

This paper cites Endora: Video generation models as endoscopy simulators.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Endora: Video generation models as endoscopy simulators

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:42.913449Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:22.387994Z digest=sha256:53d44763ac161bc7e38581ab014aa2195df33cd94bf812ff5ec95860ef7682a9

Observation 7efa1341-e32f-4627-831e-0018cf943687 · outbound

This paper cites U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T04:24:22.439616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:24:22.439616Z digest=sha256:a855de02363c8b5cc59bf9bbd8f4fc76913ebfb7b16bc75b4291dc03af05e8ec

Observation 7c019c3a-40c1-4ebc-8857-8cb3c184a552 · outbound

This paper cites Dual-layer achromatic metalens design with an effective abbe number.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Dual-layer achromatic metalens design with an effective abbe number

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:42.759596Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:22.511865Z digest=sha256:a8b910ed1f46287cd1b0226a018baa32d69bad72ac5b8d57614e7e261e179bd5

Observation 840f2a7d-aafc-443e-9378-a35e2ceb864b · outbound

This paper cites Revolutionary meta-imaging: from superlens to metalens.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Revolutionary meta-imaging: from superlens to metalens

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:42.564645Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:22.562859Z digest=sha256:70e15522bd2ea71fd35af995f5b55a51789284cf814e5596d8b96936c069f109

Observation ed4dbd84-65e4-43b1-be1a-d8a63fbfae08 · outbound

This paper cites Joint polyp detection and segmentation with heterogeneous endoscopic data.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Joint polyp detection and segmentation with heterogeneous endoscopic data

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:42.380577Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:22.615763Z digest=sha256:976bcf4c339d0fe13df1db1375651d7ee206ff5ffa57c36c85d366eca0d6171f

Observation fed1213b-82c0-483e-a979-43b97fc5c92a · outbound

This paper cites Scan: Cross domain object detection with semantic conditioned adaptation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Scan: Cross domain object detection with semantic conditioned adaptation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:42.205710Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:22.681579Z digest=sha256:bf6bdd91536a904bb679d26fb3f4fa17a60068946973cd4343ab13a91da01f75

Observation a662b662-b54f-4097-8deb-9162882c3626 · outbound

This paper cites Sigma: Semantic-complete graph matching for domain adaptive object detection.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Sigma: Semantic-complete graph matching for domain adaptive object detection

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:41.961031Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:22.785078Z digest=sha256:250cfded9bde0f505cb217112537f9da977e4150c413c568c20691b45592c7e8

Observation 7099172c-f5ab-4e8a-95d7-275ecb01cd9f · outbound

This paper cites Novel scenes & classes: Towards adaptive open-set object detection.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Novel scenes & classes: Towards adaptive open-set object detection

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:41.672382Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:22.922124Z digest=sha256:95c9403d600b1eb0e8d8c204b1c243161a30a5b1967a4ce8d87988201ff5a908

Observation 5029da2e-559a-4c36-9fce-32ef0fd259ec · outbound

This paper cites Sigma++: Improved semantic-complete graph matching for domain adaptive object detection.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Sigma++: Improved semantic-complete graph matching for domain adaptive object detection

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:41.450020Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:23.009856Z digest=sha256:a1bd4788c15cf2e409fd12d9ef3e6fbc63137325de4979e737673daf172a849d

Observation ae4367eb-35cf-48ba-a302-11119fc09a8c · outbound

This paper cites Cliff: Continual latent diffusion for open-vocabulary object detection.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Cliff: Continual latent diffusion for open-vocabulary object detection

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:41.243834Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:23.046954Z digest=sha256:c3c16bcceb8e1f0bb07b326bbc1937d69760e37e57d0eae756ac7ecfc4cbc5f2

Observation 6f162df6-bd1d-429d-8dfc-2fbd43c45e69 · outbound

This paper cites From static to dynamic diagnostics: Boosting medical image analysis via motion-informed generative videos.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy From static to dynamic diagnostics: Boosting medical image analysis via motion-informed generative videos

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:41.005111Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:23.097355Z digest=sha256:90b624321d0cedccc690e11cda84e0068df7e48294b680522bb5426ae8763be1

Observation b5aa5931-fd8a-4b3a-b488-054f74686891 · outbound

This paper cites VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T04:24:23.190818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:24:23.190818Z digest=sha256:62fb28f8dc8eee63d5a25c3f3298792efe5b30283feaa729a40c51180c0e6d5d

Observation ea7f6dc9-8e19-413b-8324-dcdd91821086 · outbound

This paper cites Swinir: Image restoration using swin transformer.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Swinir: Image restoration using swin transformer

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:40.735634Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:23.297550Z digest=sha256:58f5968344d9f16c59bac362e293caadd6d42acf85dab624e67ecfdb7751275c

Observation f2f4e685-103c-4c82-be51-76aa29b6a911 · outbound

This paper cites Achromatic metalens array for full-colour light-field imaging.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Achromatic metalens array for full-colour light-field imaging

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:40.417559Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:23.430669Z digest=sha256:5795dde3a21515011c9d1acbfa39dadcdd39ecaa016be7c5492d380faeba632b

Observation 5932bd12-8cbb-4055-9967-7a0f21a8fed9 · outbound

This paper cites DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T04:24:23.512708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:24:23.512708Z digest=sha256:373453b95f548f001894bd4622475d1aa8354c7397f8b8565da86d9a4ac04494

Observation 91c68588-ccc7-45a9-8581-f94ef71bb38e · outbound

This paper cites Rethinking boundary detection in deep learning-based medical image segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Rethinking boundary detection in deep learning-based medical image segmentation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:40.194358Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:23.631067Z digest=sha256:e2fcf9978f354407728259d332974c61d7d9a9e23679aabc1a83e3b3e0efb3f7

Observation 4a3702ac-0752-4f53-92a4-715676afff9e · outbound

This paper cites Lgs: A light-weight 4d gaussian splatting for efficient surgical scene reconstruction.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Lgs: A light-weight 4d gaussian splatting for efficient surgical scene reconstruction

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:39.924941Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:23.771862Z digest=sha256:6060ee82675338dfa975ab8f29150ad2665de8678ebaf0bd141e8db320d9b7c5

Observation 71521a29-f2ee-4d1f-8908-7faa9ee7de1b · outbound

This paper cites Polyp-gen: Realistic and diverse polyp image generation for endoscopic dataset expansion.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Polyp-gen: Realistic and diverse polyp image generation for endoscopic dataset expansion

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T04:24:23.868577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:24:23.868577Z digest=sha256:cfec89b5e5ef055f1efc94756579a76c6eb5aa924536191e1df07a265a667277

Observation dc36410c-b57e-4e29-a72e-7c2ab359014e · outbound

This paper cites A comprehensive evaluation of multi-modal large language models for endoscopy analysis.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy A comprehensive evaluation of multi-modal large language models for endoscopy analysis

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T04:24:23.969342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:24:23.969342Z digest=sha256:dd8c8aa32827aff877d56c66fda5f6b8840c2a26f65f444b563859e1fb4c8dcc

Observation ffb3b11b-d9ae-49b9-ba73-9efa54447a39 · outbound

This paper cites A rotation-invariant texture vit for fine-grained recognition of esophageal cancer endoscopic ultrasound images.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy A rotation-invariant texture vit for fine-grained recognition of esophageal cancer endoscopic ultrasound images

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:37.083196Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:24.067354Z digest=sha256:5ede3298b8a89ba590cb65446d3e51c5bfb3f70e3ed951069531e3f15b1c75d1

Observation 21b2b3f8-726e-46bd-a9bb-932fb83730f9 · outbound

This paper cites Intervention & interaction federated abnormality detection with noisy clients.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Intervention & interaction federated abnormality detection with noisy clients

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:36.763917Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:24.207289Z digest=sha256:be113b8b59dbb801a7db174c87c1120d85875da7207d571c48a6ae7848eafbc9

Observation 28444657-2af1-45c8-b0c8-3d94b186ab0f · outbound

This paper cites Underwater binocular meta-lens.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Underwater binocular meta-lens

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:36.460981Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:24.466503Z digest=sha256:9652f3e05607f0371a631bef3d7929166070a6ae68df8dbd265ce32153263e8b

Observation 8fe272e4-3e5d-4dcb-b60f-e860ce6c42f5 · outbound

This paper cites Decoupled unbiased teacher for source-free domain adaptive medical object detection.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Decoupled unbiased teacher for source-free domain adaptive medical object detection

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:36.206250Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:24.638525Z digest=sha256:794f65674852d2d88b2783dc9496e775ca198ac1c70ed099ad11fa7fd427010d

Observation 8536d51d-e17f-46da-b780-03a24df0aa97 · outbound

This paper cites Stereo vision meta-lens-assisted driving vision.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Stereo vision meta-lens-assisted driving vision

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:35.905196Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:24.835858Z digest=sha256:5f4123b5d6b40321f3c3c9a623be2b45a862e8eb20947f533e580be729dff9eb

Observation 899e699f-8ef0-4c08-98ea-1252c51e1198 · outbound

This paper cites Diffrect: Latent diffusion label rectification for semi-supervised medical image segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Diffrect: Latent diffusion label rectification for semi-supervised medical image segmentation

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:35.812070Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:25.002126Z digest=sha256:376deb6cc542e727c7f8e8b4b9b63fc858e901c8bc50ebde55836dc80acb5144

Observation 7da81fb8-5b8d-4059-8509-b24c0d86d0f6 · outbound

This paper cites Meta-lens particle image velocimetry.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Meta-lens particle image velocimetry

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:35.665281Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:25.176969Z digest=sha256:a1d7ef35efe7ebfb79a150c54937dbef3f875029bebbbea47215495804fef0d3

Observation aa3d90de-dfde-429a-842c-e11162c88779 · outbound

This paper cites Rolling-unet: Revitalizing mlp’s ability to efficiently extract long-distance dependencies for medical image segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Rolling-unet: Revitalizing mlp’s ability to efficiently extract long-distance dependencies for medical image segmentation

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:35.507215Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:25.351603Z digest=sha256:3c491423fdf899804fa806f9cc5d135098fd930ea65d727af78da9197eda131d

Observation fe683dab-e70b-49a9-bf78-e77bc64ec2b1 · outbound

This paper cites Dc-unet: rethinking the u-net architecture with dual channel efficient cnn for medical image segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Dc-unet: rethinking the u-net architecture with dual channel efficient cnn for medical image segmentation

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:35.332507Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:25.459301Z digest=sha256:b7ca52c05520553ef472e4d773d43a1bd71240c0cae5329c644b77c3633db0ee

Observation 414dc717-f7a3-47ee-9701-f73ac25d03a3 · outbound

This paper cites Varifocal metalens for optical sectioning fluorescence microscopy.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Varifocal metalens for optical sectioning fluorescence microscopy

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:35.216575Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:25.555259Z digest=sha256:8183a97e151e30951bfd2eceab8f29297483bc0449684eaef626ad97e0083941

Observation 51b15111-27d1-441b-842b-5c9202125e5b · outbound

This paper cites Llm-guided decoupled probabilistic prompt for continual learning in medical image diagnosis.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Llm-guided decoupled probabilistic prompt for continual learning in medical image diagnosis

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:35.103506Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:25.660892Z digest=sha256:def3a75d6ef57bc550ceed72d57b6791d440e7f78f2ad33e3fcc1ea40b17a6a1

Observation 332fdb55-6001-4f13-9e60-69d42ee183d1 · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T04:24:25.773518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:24:25.773518Z digest=sha256:cbe8ddeebc69d00f953c83425055e8f1636f4611073e26279f2db5ba3338586d

Observation d4be9ac2-05c0-4116-985d-c6a8ae5e64f8 · outbound

This paper cites Shape-guided configuration-aware learning for endoscopic-image-based pose estimation of flexible robotic instruments.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Shape-guided configuration-aware learning for endoscopic-image-based pose estimation of flexible robotic instruments

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:34.925933Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:25.882676Z digest=sha256:a10f513558fa1c002a35dcec3417763df1ec0dd38f348c08396159c7715a8313

Observation dd0c4da0-9d61-4715-8cad-6883a3e11e11 · outbound

This paper cites Real-time hyperspectral imaging in hardware via trained metasurface encoders.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Real-time hyperspectral imaging in hardware via trained metasurface encoders

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:34.796819Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:25.995534Z digest=sha256:3c554cee92ef4babe869f845ed06d0d0fcd5e4b98780342f72f8525655bad2de

Observation 9f4008fc-2005-481c-a02f-794a40c05468 · outbound

This paper cites Hardware-accelerated integrated optoelectronic platform towards real-time high-resolution hyperspectral video understanding.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Hardware-accelerated integrated optoelectronic platform towards real-time high-resolution hyperspectral video understanding

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:34.579595Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:26.113468Z digest=sha256:1db2e22a95130e38a1d4c9328e8be0e4f536dd9e7edbd73c43e4c8d6dee41982

Observation 2fe645ba-52c1-4fc3-b6c0-ecd7083d32cc · outbound

This paper cites Mixture of experts: a literature survey.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Mixture of experts: a literature survey

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:34.433896Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:26.222571Z digest=sha256:888477fd25710f0812ad25b10cd9d27b90c41ee866964f7542651b3936bad11c

Observation 4c76e46b-e3fd-4454-b078-b7c59a6391ae · outbound

This paper cites Artificial intelligence and upper gastrointestinal endoscopy: Current status and future perspective.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Artificial intelligence and upper gastrointestinal endoscopy: Current status and future perspective

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:34.309651Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:26.335027Z digest=sha256:4134c84b6e42a6481ef4fbac6e1beb65c936ca70aa58e2befc40c3fa3ff2e255

Observation 0e569877-ecd4-4000-a5cc-87c7349b7119 · outbound

This paper cites Artificial intelligence in endoscopy.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Artificial intelligence in endoscopy

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:34.079575Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:26.418085Z digest=sha256:43149c7e2a5e806df40c5bbb59be4e84cccdee1fa5daed9d4061ed51f49f1e54

Observation cdff82b2-5be3-48f5-9d01-42218aae8d51 · outbound

This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Attention U-Net: Learning Where to Look for the Pancreas

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-06T04:24:26.523912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:24:26.523912Z digest=sha256:a450f6084793dd5d0f2c1b640bacd3f306005f551f2bae1ffb467fcbc6c66e4d

Observation 27c04296-e4f9-4655-86dc-e6b7649dc441 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy DINOv2: Learning Robust Visual Features without Supervision

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-06T04:24:26.645408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:24:26.645408Z digest=sha256:b23a86a3cae75ed2b16565fecf1ba7445b7dccd17eb457f3204dd5e9ccfbd9cd

Observation 1d91412c-d3f2-4dea-90b2-668e911859b8 · outbound

This paper cites Semi-supervised Semantic Segmentation Meets Masked Modeling:Fine-grained Locality Learning Matters in Consistency Regularization.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Semi-supervised Semantic Segmentation Meets Masked Modeling:Fine-grained Locality Learning Matters in Consistency Regularization

Reference 83

Resolution
verified exact
local_arxiv, observed 2026-08-06T04:24:29.431287Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:26.712650Z digest=sha256:760cc0e4130721866d8cfe8b567fdd0fd7c2434c6935630658ded577a8aac386

Observation cbd2962a-8d43-4efc-9f3e-589b36f9d7a6 · outbound

This paper cites Human-machine interactive tissue prototype learning for label-efficient histopathology image segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Human-machine interactive tissue prototype learning for label-efficient histopathology image segmentation

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:33.944870Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:26.802171Z digest=sha256:4de6f7125e5abc66f2eaef314f071d3cf6ff6c631cee7cb0b402fdfa734f9dbb

Observation c796a7d1-4a71-46a5-a6ba-54841e355894 · outbound

This paper cites Leveraging near-field lighting for monocular depth estimation from endoscopy videos.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Leveraging near-field lighting for monocular depth estimation from endoscopy videos

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:33.776386Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:26.920536Z digest=sha256:c49d54f6b65cbf3a3380215d61651a3b83ad85c9f66684a24ee869f62c0416e2

Observation 057ce20e-e0b4-4522-80df-ef4fe08aba4c · outbound

This paper cites Fresnel diffraction and the fractional-order fourier transform.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Fresnel diffraction and the fractional-order fourier transform

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:33.598516Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:27.028236Z digest=sha256:c74280d5d1f2370acd7e4b18d9f533d51d123a812feefcfe171007b8130e1eae

Observation 20ec6182-a7f8-44ad-8da3-84370a95478b · outbound

This paper cites High-efficiency, large-area, topology-optimized metasurfaces.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy High-efficiency, large-area, topology-optimized metasurfaces

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:33.473070Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:27.139171Z digest=sha256:0300520156c6b701e8a6cf1b70db651c2783d9faddab722d0ed92e34fe5f1d29

Observation 7f3415ba-be1e-4c59-88cc-7a1f9bd5a331 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy U-net: Convolutional networks for biomedical image segmentation

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:33.331410Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:27.253968Z digest=sha256:3f0bea8375c56464231a68ff8513bdb62078eb4ba79848fc8a18c5ad4220700e

Observation 480f6523-7dcf-49fb-a3c2-38e5182d7f08 · outbound

This paper cites Deep-learning-driven end-to-end metalens imaging.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Deep-learning-driven end-to-end metalens imaging

Reference 89

Resolution
verified exact
local_arxiv, observed 2026-08-06T04:24:29.194078Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:27.337699Z digest=sha256:2fbf7b1f3bcd5d78394146b3a97a2936612142624a23006b5ba9af9bf39215e0

Observation 60487b49-f121-4be5-910f-a085c6ab0095 · outbound

This paper cites Procedure-aware surgical video-language pretraining with hierarchical knowledge augmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Procedure-aware surgical video-language pretraining with hierarchical knowledge augmentation

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:33.121525Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:27.431158Z digest=sha256:3e7931a8016019ed399a5a3ddde43108e4945a7c3346d8e73ace0a3f89a82f32

Observation b4b2fe6a-accd-4b7a-863c-eae1ade0c5fa · outbound

This paper cites Neural nano-optics for high-quality thin lens imaging.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Neural nano-optics for high-quality thin lens imaging

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:32.925104Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:27.516462Z digest=sha256:31fb87bbefd5cbde79354df1f098769b8a23b284389c802318756949946c1306

Observation c4f2b6a6-689f-4c2b-8746-a35c8de4c531 · outbound

This paper cites Metalenses: advances and applications.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Metalenses: advances and applications

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:32.796279Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:27.606947Z digest=sha256:910a89e2827a439730e41e97a7c34a52a6d7961a12b9d7828eacd624ea9aec7e

Observation 79ae0a2f-7fac-44a0-a570-58aaa1bf1061 · outbound

This paper cites Ai for optical metasurface.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Ai for optical metasurface

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:32.645201Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:27.742100Z digest=sha256:20e0a96b67a89f22d697b2f946538eaf9804c47f6e61fd3ecf8d83ba7333eaf7

Observation fa77b905-aca2-4f60-8238-e4b784502b2e · outbound

This paper cites Unext: Mlp-based rapid medical image segmentation network.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Unext: Mlp-based rapid medical image segmentation network

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:32.454836Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:27.842605Z digest=sha256:bf64f947157df69f17de0f19542fedea52c7a6e15e16539c8a85cc0125826130

Observation ca1c32cf-bf2a-4c9f-9b60-aad17e88b06f · outbound

This paper cites Dense u-net based on patch-based learning for retinal vessel segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Dense u-net based on patch-based learning for retinal vessel segmentation

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:32.303861Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:27.924161Z digest=sha256:e8a65b9452928c5d90a20bd0257bf0bfa87ce61eb45ad4320fcdb5a000842602

Observation 5e577b65-931c-45d9-aa23-2329c040610f · outbound

This paper cites A broadband achromatic metalens in the visible.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy A broadband achromatic metalens in the visible

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:32.145489Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:28.017308Z digest=sha256:66545307669f9a226f9945a2e52c062bed1f436ae2797574fabe371403d56fcd

Observation 35c9cf35-c165-4b65-98eb-4451937f1a6b · outbound

This paper cites Robust freeform metasurface design based on progressively growing generative networks.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Robust freeform metasurface design based on progressively growing generative networks

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:31.919299Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:28.116212Z digest=sha256:a2df5014ff0371a50575eaabc1ca007d240047e8d197cafba63674522bd24368

Observation bf8ab717-4015-494f-947c-8c314b33e629 · outbound

This paper cites Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-06T04:24:28.200681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:24:28.200681Z digest=sha256:1113aa64b970d554d2ba2d20a808d6939f6211fdd19c66092ae3d76e28ed9550

Observation 421c6d12-023a-45b9-a580-e208b3988215 · outbound

This paper cites Self-supervised video desmoking for laparoscopic surgery.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Self-supervised video desmoking for laparoscopic surgery

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:31.758681Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:28.271286Z digest=sha256:2cdb8199e1f90c0d37ccb6f62f7694841d25fd996223817ff3fd7b38225670d2

Observation 7a130eaf-7f2f-4bac-b17b-ace99d81831a · outbound

This paper cites Unified perceptual parsing for scene understanding.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Unified perceptual parsing for scene understanding

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:24:31.581835Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T04:24:28.358743Z digest=sha256:579905fd73551101e28e2ee923edb92b63a466044269c1fd7e338507f00f29dc

Pith citing papers

No inbound Pith citation observations are available.