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Paper Citation Record · LEDGER

EDMB: Edge Detector with Mamba

As of 11 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2501.04846.

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

pith.paper-citation-record.v1
2501.04846 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:28:15.518922Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

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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

55 of 55 outbound references displayed

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  • verified fuzzy38
  • unresolved17
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1285e923-446b-41bf-869d-2d7826376ece · outbound

This paper cites Contour detection and hierarchical image seg- mentation.

EDMB: Edge Detector with Mamba Contour detection and hierarchical image seg- mentation

Reference 1

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Observation 69202657-f4a7-44e2-92fc-f52b012a4df5 · outbound

This paper cites A computational approach to edge detection.

EDMB: Edge Detector with Mamba A computational approach to edge detection

Reference 2

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Observation aa65c20a-7008-426d-916f-853ce83f196b · outbound

This paper cites Ranked: Addressing imbalance and uncertainty in edge detection using ranking-based losses.

EDMB: Edge Detector with Mamba Ranked: Addressing imbalance and uncertainty in edge detection using ranking-based losses

Reference 3

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Observation 79d8b349-8610-4b29-a604-9f073878b7c5 · outbound

This paper cites Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning.

EDMB: Edge Detector with Mamba Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning

Reference 4

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Observation 08c64c11-4ab1-40db-8138-9518c4362190 · outbound

This paper cites A survey of edge detection techniques.

EDMB: Edge Detector with Mamba A survey of edge detection techniques

Reference 5

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Source-reported events for the cited work

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Observation 414915e7-1f21-47a1-b078-ca5a3d3b9a6a · outbound

This paper cites Deep structural contour de- tection.

EDMB: Edge Detector with Mamba Deep structural contour de- tection

Reference 6

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Observation 85619024-2063-4b5e-a804-fc95943a178f · outbound

This paper cites Learning to decode con- textual information for efficient contour detection.

EDMB: Edge Detector with Mamba Learning to decode con- textual information for efficient contour detection

Reference 7

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Observation 1fa6ea1c-6f1b-4bae-8164-f8b219b08739 · outbound

This paper cites Learning to predict crisp boundaries.

EDMB: Edge Detector with Mamba Learning to predict crisp boundaries

Reference 8

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Source-reported events for the cited work

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Observation 9df3c189-d02a-419b-912b-b2dff8d47aa1 · outbound

This paper cites Fast edge detection us- ing structured forests.

EDMB: Edge Detector with Mamba Fast edge detection us- ing structured forests

Reference 9

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Source-reported events for the cited work

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Observation 49062548-3cbb-437a-a4f8-f973f9fcde7b · outbound

This paper cites Fast edge detection using structured forests.

EDMB: Edge Detector with Mamba Fast edge detection using structured forests

Reference 10

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Source-reported events for the cited work

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Observation 5c13e000-9b1d-4837-ad52-8e9dc2c92f1d · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

EDMB: Edge Detector with Mamba An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

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Observation 0c1ef0cd-c941-44d1-8dc3-ac57b5975ec4 · outbound

This paper cites Practical edge detection via ro- bust collaborative learning.

EDMB: Edge Detector with Mamba Practical edge detection via ro- bust collaborative learning

Reference 12

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Source-reported events for the cited work

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Observation 84d4c0f4-7016-4428-9980-48507fe7697b · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

EDMB: Edge Detector with Mamba Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 13

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Observation e18fcfbc-a028-431a-a160-1d85c7910aaa · outbound

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EDMB: Edge Detector with Mamba Unresolved cited work

Reference 14

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Observation a724dbf7-550f-4c08-a0bf-fc6bca9ca4c9 · outbound

This paper cites Oriented edge forests for boundary detection.

EDMB: Edge Detector with Mamba Oriented edge forests for boundary detection

Reference 15

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Observation 0bf511ee-d547-4348-8978-d10c35a0cb5b · outbound

This paper cites Bdcn: Bi-directional cascade network for per- ceptual edge detection.

EDMB: Edge Detector with Mamba Bdcn: Bi-directional cascade network for per- ceptual edge detection

Reference 16

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Observation 8f954c7b-bfae-45ae-98e6-5f72d25ba180 · outbound

This paper cites Deep residual learning for image recognition.

EDMB: Edge Detector with Mamba Deep residual learning for image recognition

Reference 17

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Source-reported events for the cited work

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Observation c3df83a9-e9c5-441b-8aff-754e56d44937 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

EDMB: Edge Detector with Mamba MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 18

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Observation fcc35af9-2104-4c06-bbc7-d5e047e4fec4 · outbound

This paper cites LocalMamba: Visual State Space Model with Windowed Selective Scan.

EDMB: Edge Detector with Mamba LocalMamba: Visual State Space Model with Windowed Selective Scan

Reference 19

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Observation 87b1fd8d-dd38-47e8-afc0-8765852b38cd · outbound

This paper cites Pushing the Boundaries of Boundary Detection using Deep Learning.

EDMB: Edge Detector with Mamba Pushing the Boundaries of Boundary Detection using Deep Learning

Reference 20

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Observation 7084265b-770e-4c7c-9a34-cc136a0d76cf · outbound

This paper cites Auto-Encoding Variational Bayes.

EDMB: Edge Detector with Mamba Auto-Encoding Variational Bayes

Reference 21

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Source-reported events for the cited work

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Observation d55c28d3-04e9-4253-b3d4-b79622d3b9cd · outbound

This paper cites Beta net- work for boundary detection under nondeterministic labels.

EDMB: Edge Detector with Mamba Beta net- work for boundary detection under nondeterministic labels

Reference 22

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Source-reported events for the cited work

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Observation c5de8ad6-91c1-43d9-9c01-971bffa23233 · outbound

This paper cites LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation.

EDMB: Edge Detector with Mamba LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation

Reference 23

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Observation fe4e12bc-152d-479e-846b-e433b3a7fd9f · outbound

This paper cites Richer convolutional features for edge detection.

EDMB: Edge Detector with Mamba Richer convolutional features for edge detection

Reference 24

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Observation e20bed75-333d-4099-90c7-d6dd40fccf30 · outbound

This paper cites Learning relaxed deep su- pervision for better edge detection.

EDMB: Edge Detector with Mamba Learning relaxed deep su- pervision for better edge detection

Reference 25

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Observation 2b0fd48b-2329-4458-a5c6-069b73a12a52 · outbound

This paper cites Understanding the effective receptive field in deep convolu- tional neural networks.

EDMB: Edge Detector with Mamba Understanding the effective receptive field in deep convolu- tional neural networks

Reference 26

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Observation db49770d-4580-48aa-8619-b474b267e11c · outbound

This paper cites Dense extreme inception network: Towards a robust cnn model for edge detection.

EDMB: Edge Detector with Mamba Dense extreme inception network: Towards a robust cnn model for edge detection

Reference 27

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Observation ab41fdab-76fa-467d-9f53-73093124f65e · outbound

This paper cites Edter: Edge detection with transformer.

EDMB: Edge Detector with Mamba Edter: Edge detection with transformer

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 6b033729-649e-496b-b1b2-5498a046e4e3 · outbound

This paper cites Discriminatively trained sparse code gradients for contour detection.

EDMB: Edge Detector with Mamba Discriminatively trained sparse code gradients for contour detection

Reference 29

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Observation 24f6b8e5-fe8c-4be5-8eaf-c0e97339bfcd · outbound

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

EDMB: Edge Detector with Mamba U- net: Convolutional networks for biomedical image segmen- tation

Reference 30

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Observation ddcd534a-6ea2-4c64-8d7f-1f34940e4b17 · outbound

This paper cites A classified and comparative study of edge de- tection algorithms.

EDMB: Edge Detector with Mamba A classified and comparative study of edge de- tection algorithms

Reference 31

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Source-reported events for the cited work

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Observation 2ab53a3d-c907-4b06-878e-5a309029d2f9 · outbound

This paper cites Deepcontour: A deep convolutional feature learned by positive-sharing loss for contour detection.

EDMB: Edge Detector with Mamba Deepcontour: A deep convolutional feature learned by positive-sharing loss for contour detection

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 8d8ee6ba-e65e-49c4-93ff-af97a625ecb0 · outbound

This paper cites The edge of depth: Explicit constraints between segmentation and depth.

EDMB: Edge Detector with Mamba The edge of depth: Explicit constraints between segmentation and depth

Reference 33

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Source-reported events for the cited work

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Observation 5c0530f0-c4b5-4f47-b33d-5ccea1e31136 · outbound

This paper cites Indoor segmentation and support inference from rgbd images.

EDMB: Edge Detector with Mamba Indoor segmentation and support inference from rgbd images

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 5435557f-e29b-41b8-848c-5da5bd959576 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

EDMB: Edge Detector with Mamba Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 35

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Source-reported events for the cited work

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Observation 2755089a-7b92-4a77-b974-6906e1679dd2 · outbound

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EDMB: Edge Detector with Mamba A 3x3 isotropic gradient operator for image processing

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0ac8bc7b-c190-4a80-8ac0-7a5e57d0c26a · outbound

This paper cites Ldc: Lightweight dense cnn for edge detection.IEEE Access, 10:68281–68290, 2022.

EDMB: Edge Detector with Mamba Ldc: Lightweight dense cnn for edge detection.IEEE Access, 10:68281–68290, 2022

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-10T21:28:15.939107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:28:15.436159Z digest=sha256:261fe6113c091ddfb2f5282b22a67d7312181ad2c09f67e4d2ad80bbd6cd79d5

Observation d58f8712-218b-4c67-916f-adcb66eea221 · outbound

This paper cites Dense extreme inception network for edge detec- tion.

EDMB: Edge Detector with Mamba Dense extreme inception network for edge detec- tion

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:28:15.926016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:28:15.440785Z digest=sha256:979f83e9481ad3828b9020bc284a84ec0ba1a6ae272d8ed8021f62cc18912c8b

Observation 7ac41fa6-b7dd-47d9-ba0f-2bedfc457460 · outbound

This paper cites Lightweight pixel dif- ference networks for efficient visual representation learning.

EDMB: Edge Detector with Mamba Lightweight pixel dif- ference networks for efficient visual representation learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:28:15.913004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:28:15.445016Z digest=sha256:d517d343fe7754d4dbc8feced4fd0312d74a3b57776c2c3400f4f708e9277de4

Observation 68291d5b-c7be-41f2-82a6-e10c1785a3da · outbound

This paper cites State Space Model for New-Generation Network Alternative to Transformers: A Survey.

EDMB: Edge Detector with Mamba State Space Model for New-Generation Network Alternative to Transformers: A Survey

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T21:28:15.448923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:15.448923Z digest=sha256:13b52029ce4dc9b376519e0193a070d8c93e726aef7032a09cb9161906d8f931

Observation 8dd7aa0e-7542-49d3-9c99-2aa0282694bf · outbound

This paper cites Deep crisp bound- aries.

EDMB: Edge Detector with Mamba Deep crisp bound- aries

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:28:15.898798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:28:15.453000Z digest=sha256:4b44a931b3a121f0f6626798ab11d7f70ba288c38bd5c7f1fe67b0c24a880601

Observation 57ba3ee2-b03b-487c-93ac-52cca6bcf5f2 · outbound

This paper cites UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation.

EDMB: Edge Detector with Mamba UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T21:28:15.457098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:15.457098Z digest=sha256:9946cfb7f92fd682e4cf557b991f83ddd925a6c34dfd1cc2912db40e8fc06c55

Observation c4511597-6702-42b2-9e73-21e48eb8389d · outbound

This paper cites Holistically-nested edge de- tection.

EDMB: Edge Detector with Mamba Holistically-nested edge de- tection

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:28:15.886320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:28:15.461466Z digest=sha256:d2f8a771a7329aa3db805a9df0bae5122e5041afd8b8dd50868f966b7d11d2bf

Observation 84359e28-cd64-438a-b475-1e23834a6c18 · outbound

This paper cites Learning deep struc- tured multi-scale features using attention-gated crfs for con- tour prediction.

EDMB: Edge Detector with Mamba Learning deep struc- tured multi-scale features using attention-gated crfs for con- tour prediction

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:28:15.872863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:28:15.466008Z digest=sha256:c4f84125f5d3f735274a4aaa9845d399c49e95346608c98b3ec9ed8e9ddafce0

Observation c37ce51e-3efb-465d-92fd-53f8c78f52a3 · outbound

This paper cites PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers.

EDMB: Edge Detector with Mamba PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T21:28:15.470473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:15.470473Z digest=sha256:5b9d8f3bc5e5caa6347a04a7925b036c671f96a8269970fa79f09dfeabaffb32

Observation f0989644-892b-42fc-bd0e-8b94fbf7640b · outbound

This paper cites Fcl- net: Towards accurate edge detection via fine-scale correc- tive learning.

EDMB: Edge Detector with Mamba Fcl- net: Towards accurate edge detection via fine-scale correc- tive learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:28:15.859202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:28:15.475076Z digest=sha256:41976052ca796c11ae713ac2d2eb8cc675465397f0bca6b3bd4b3f92c7396218

Observation de02df08-4219-4501-b356-08cd2fd54fb7 · outbound

This paper cites Object contour detection with a fully convolutional encoder-decoder network.

EDMB: Edge Detector with Mamba Object contour detection with a fully convolutional encoder-decoder network

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:28:15.844857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:28:15.479945Z digest=sha256:789ec9d8202b7f60095d4432a55c06d10ceb9c5e74617c1b10c5196ed427a006

Observation e2390c2c-19d9-4c6d-99fc-5164a89dfcd5 · outbound

This paper cites ReMamber: Referring Image Segmentation with Mamba Twister.

EDMB: Edge Detector with Mamba ReMamber: Referring Image Segmentation with Mamba Twister

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T21:28:15.484573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:15.484573Z digest=sha256:e29cc311b9fc6ec3521fe681ff2b4265d2119cae37f78bd0595de1c14a52268e

Observation df8e6d62-79f3-4c00-983c-c5a7f4bcc3b2 · outbound

This paper cites DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection.

EDMB: Edge Detector with Mamba DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T21:28:15.489669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:15.489669Z digest=sha256:8ed208b805d78ab48eca416a5e201f43c60c63e611d7baefdf710fe51fbeeaef

Observation 6a09da47-a127-4531-8cf1-1a587562d66b · outbound

This paper cites Sketch me that shoe.

EDMB: Edge Detector with Mamba Sketch me that shoe

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:28:15.830493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:28:15.495023Z digest=sha256:58b9b0cc9a5c366c51e48bd299e2d33f46e5ed05068fccabd81358b062c93b9a

Observation 9c03d77b-b8d7-4ff3-8026-b74b6e86fb78 · outbound

This paper cites A survey on visual mamba.

EDMB: Edge Detector with Mamba A survey on visual mamba

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:28:15.817288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:28:15.500005Z digest=sha256:0a239a496dfd412322b49e4f396f5b5558c6747df3603923191f8d3424018dcf

Observation ed9afc79-3e58-4ad2-a2ea-dab51d3cd486 · outbound

This paper cites Egnet: Edge guid- ance network for salient object detection.

EDMB: Edge Detector with Mamba Egnet: Edge guid- ance network for salient object detection

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:28:15.803981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:28:15.504434Z digest=sha256:5af2cdd1203fcc9b26102a1ae0e84eb065ee56ce603c81b6e4cbd4619309af91

Observation 31fbde20-67f1-4182-8833-28c32c42d9bf · outbound

This paper cites Muge: Multiple granularity edge detection.

EDMB: Edge Detector with Mamba Muge: Multiple granularity edge detection

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:28:15.787628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:28:15.509318Z digest=sha256:3405641adbeece37a9c92f139fbf896b85d8b73ef6ab1a8cc7c6acec4bf8e6ae

Observation 0f9aa9b7-ca07-4ba8-bdfc-f9ff608398f6 · outbound

This paper cites The treasure beneath multiple an- notations: An uncertainty-aware edge detector.

EDMB: Edge Detector with Mamba The treasure beneath multiple an- notations: An uncertainty-aware edge detector

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:28:15.773001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:28:15.514302Z digest=sha256:33cc9fc93955a19d39c4ac3d0d710add87b06b75330d60060db9eb80723eaa4e

Observation 5a52c1ba-dc09-4b86-baab-e73b7042d5bb · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

EDMB: Edge Detector with Mamba Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T21:28:15.518922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:15.518922Z digest=sha256:d9a4b2496c0b70109122025f8d2a1edc79934b7831b15316090069e80bff3c44

Pith citing papers

No inbound Pith citation observations are available.