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Paper Citation Record · LEDGER

SPT: Sequence Prompt Transformer for Interactive Image Segmentation

As of 13 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 4 inbound Pith citation observations for arXiv:2412.10224.

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

pith.paper-citation-record.v1
2412.10224 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:14:48.575006Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:19:58.241862Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T17:08:40.779535Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact0
  • verified fuzzy22
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ae4892b6-aa46-4f78-bbc6-cffdecc940ba · outbound

This paper cites Reviving iterative training with mask guidance for interactive segmentation,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Reviving iterative training with mask guidance for interactive segmentation,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4f8fe294-d1dd-4a1f-a653-2622bf1c8783 · outbound

This paper cites Focal loss for dense object detection,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Focal loss for dense object detection,

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 511201cc-639b-4705-9e18-576f82aa3242 · outbound

This paper cites Deep residual learning for image recognition,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Deep residual learning for image recognition,

Reference 4

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source=pdf_text observed=2026-08-11T16:14:48.437284Z digest=sha256:0f6efdea78bd91d41c0c0ec964dd94318b493968557fe75f2d972262c16c600c

Observation 5fd4d35d-46a7-456e-a925-ceb481b192e6 · outbound

This paper cites Exploring plain vision transformer backbones for object detection,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Exploring plain vision transformer backbones for object detection,

Reference 5

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source=pdf_text observed=2026-08-11T16:14:48.440098Z digest=sha256:8561915012f1f0f4ebb4fc0c9a1e5ff49334b183d8938152881a9086c424ef51

Observation cde5314b-fe25-4a98-9f08-ebadba3cba96 · outbound

This paper cites On certain integrals of lipschitz- hankel type involving products of bessel functions,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation On certain integrals of lipschitz- hankel type involving products of bessel functions,

Reference 6

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raw_fallback, observed 2026-08-11T16:14:48.925370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 7ac28c8a-7500-4ac3-82c5-fc7c35fb413b · outbound

This paper cites Bidirectional recurrent neural net- works,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Bidirectional recurrent neural net- works,

Reference 7

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source=pdf_text observed=2026-08-11T16:14:48.446243Z digest=sha256:b17a7c624f2e7285058404e7eac9a4379fa628fbd88653b88bf30f7c5629a4d5

Observation e1c4384b-ea15-4101-a4d9-316980d437a9 · outbound

This paper cites Simpleclick: Interactive image segmentation with simple vision transformers,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Simpleclick: Interactive image segmentation with simple vision transformers,

Reference 8

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raw_fallback, observed 2026-08-11T16:14:48.913062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:14:48.448819Z digest=sha256:14058300f992e9142cdd8475f9ea64ad8fcef6fa6e4888e51d1168de165fdf2b

Observation 1fa37f13-49b5-43bb-ad27-668d1d17fd39 · outbound

This paper cites Focalclick: Towards practical interactive image segmentation,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Focalclick: Towards practical interactive image segmentation,

Reference 9

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raw_fallback, observed 2026-08-11T16:14:48.904454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d73980bd-9fcd-4aec-89cc-428477c334b3 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 10

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Observation 88753768-e975-4fb7-a978-2cbff0fbbe14 · outbound

This paper cites Segment Anything.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Segment Anything

Reference 11

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T16:14:48.456986Z digest=sha256:85661fe36aeeecde5973e7ab21903f8a7bd708c5df0591a73a0f36554f1435d2

Observation 56dfc6e6-f8d1-4d29-bf5e-3cb89da454a6 · outbound

This paper cites Long short-term memory,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Long short-term memory,

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:14:48.459920Z digest=sha256:5224ae3dba5938ea9d3d72dc1ecc572d28dac7c19ac2fa02c2c610ded46971e1

Observation ba0cf5ab-7120-48ff-952d-7853d519006c · outbound

This paper cites Attention is all you need,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Attention is all you need,

Reference 13

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source=pdf_text observed=2026-08-11T16:14:48.462326Z digest=sha256:9c0376e810ba5b2a7bade26b3bd13d4e5b25d8dd7cbdfeae019579dbaa1f3ca1

Observation 7623d625-8f99-45af-aad9-52da8a7237c5 · outbound

This paper cites Scene parsing through ade20k dataset,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Scene parsing through ade20k dataset,

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2e302a43-0544-4c2d-bb0d-1311b584b9af · outbound

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

SPT: Sequence Prompt Transformer for Interactive Image Segmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 65b209e2-0cd0-431d-8478-ba59f9de66fd · outbound

This paper cites Interactive graph cuts for optimal bound- ary & region segmentation of objects in nd images,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Interactive graph cuts for optimal bound- ary & region segmentation of objects in nd images,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 08f97d05-20bc-40eb-a627-bcc127af9835 · outbound

This paper cites Geodesic star convexity for interactive image segmentation,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Geodesic star convexity for interactive image segmentation,

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:14:48.475176Z digest=sha256:024462bd0fed5becaa06284a6a9100ccde6124279e514e27a29619856783951c

Observation 3eb016a6-a080-4c63-8711-1dd8369ecc53 · outbound

This paper cites Graph cut algorithms for binocular stereo with occlusions,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Graph cut algorithms for binocular stereo with occlusions,

Reference 18

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raw_fallback, observed 2026-08-11T16:14:48.872541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 99237d69-229f-4025-9796-fb6f7211dbde · outbound

This paper cites Fast approximate energy min- imization via graph cuts,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Fast approximate energy min- imization via graph cuts,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4c9a766d-164a-4d01-a928-fb3dac171e0e · outbound

This paper cites Geodesic active contours,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Geodesic active contours,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6a1c752c-8183-4686-a3ed-be16874ab2c2 · outbound

This paper cites Level set methods: an overview and some recent results,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Level set methods: an overview and some recent results,

Reference 21

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Source-reported events for the cited work

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Observation b6ee72ab-64eb-4148-bb66-036241737a53 · outbound

This paper cites Deep interactive object selection,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Deep interactive object selection,

Reference 22

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raw_fallback, observed 2026-08-11T16:14:48.842766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation cd215e3c-53d4-49f2-a60a-266d65e9095c · outbound

This paper cites Pseudoclick: Interactive image segmentation with click imitation,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Pseudoclick: Interactive image segmentation with click imitation,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:14:48.833404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 14c9496e-4a92-440f-ac88-7b7babb3b205 · outbound

This paper cites Interactive image segmentation with first click attention,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Interactive image segmentation with first click attention,

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:14:48.496480Z digest=sha256:e03da5bea481a305c6324cbcdb46e19b74c106811916d232f1c244ddb0cb3bed

Observation a70b29f7-a034-4298-95aa-fa151e3fe9d2 · outbound

This paper cites Conditional diffusion for interactive segmentation,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Conditional diffusion for interactive segmentation,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 204a922a-3f17-4daf-9c27-a0bf0c95b23d · outbound

This paper cites Learning spatiotemporal features with 3d convolutional networks,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Learning spatiotemporal features with 3d convolutional networks,

Reference 26

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Observation f15f2397-bc7c-4fed-a90b-6692a5e622dd · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Quo vadis, action recognition? a new model and the kinetics dataset,

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:14:48.506130Z digest=sha256:815a2794421c65ee9a635f6d5d1dca2b84b910fba2704828914082297f16e06c

Observation 52a16b3e-fd45-4cd8-a2b2-d5e990b6b0da · outbound

This paper cites Slowfast networks for video recognition,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Slowfast networks for video recognition,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:14:48.509839Z digest=sha256:939e8054ad1c4d365b7a329bc99b47cfba26d0cf1a53671451b11f8fc9aaaa26

Observation e59b528d-2968-455e-8ada-c788e1746440 · outbound

This paper cites ActionCLIP: A New Paradigm for Video Action Recognition.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation ActionCLIP: A New Paradigm for Video Action Recognition

Reference 29

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no resolver link, observed 2026-08-11T16:14:48.513460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 99a46a02-42ed-4140-81f1-07132657bfa1 · outbound

This paper cites Clip4clip: An empirical study of clip for end to end video clip retrieval and captioning,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Clip4clip: An empirical study of clip for end to end video clip retrieval and captioning,

Reference 30

Resolution
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no resolver link, observed 2026-08-11T16:14:48.516393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f8f2e93a-75b7-431e-9660-a2a84df7eb01 · outbound

This paper cites X-clip: End- to-end multi-grained contrastive learning for video-text retrieval,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation X-clip: End- to-end multi-grained contrastive learning for video-text retrieval,

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a3cad335-41fb-4172-be55-9fbc8029b545 · outbound

This paper cites ” grabcut.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation ” grabcut

Reference 32

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raw_fallback, observed 2026-08-11T16:14:48.780952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation cfd0f010-b28a-4f9b-bbc2-fdc4a4390e75 · outbound

This paper cites A comparative evaluation of interactive segmentation algorithms,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation A comparative evaluation of interactive segmentation algorithms,

Reference 33

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raw_fallback, observed 2026-08-11T16:14:48.771344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:14:48.525356Z digest=sha256:52e6f6776dd553e99a8dcc1b0fa15c57fe737a58f0072d1f0529b58fb6a2e152

Observation 2d305f76-7f40-47a7-aa40-8bd1f9b169d7 · outbound

This paper cites A benchmark dataset and evaluation methodology for video object segmentation,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation A benchmark dataset and evaluation methodology for video object segmentation,

Reference 34

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raw_fallback, observed 2026-08-11T16:14:48.761146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:14:48.528601Z digest=sha256:8580dd78daa6c98fdad96d97787ffa54015e36a2fe38a68bd9a5829ba33ed068

Observation f060745b-6cb3-4415-abc1-da54f316e226 · outbound

This paper cites Microsoft coco: Common objects in context,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Microsoft coco: Common objects in context,

Reference 35

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no resolver link, observed 2026-08-11T16:14:48.530950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:14:48.530950Z digest=sha256:43aa3985d3933ef91e87345eca39ee9177eea10a5ea1edde3111b88fe5c18bb6

Observation dc74a7d4-8a96-4605-bad9-5844269b6eb2 · outbound

This paper cites Lvis: A dataset for large vocabulary instance segmentation,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Lvis: A dataset for large vocabulary instance segmentation,

Reference 36

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no resolver link, observed 2026-08-11T16:14:48.533706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:14:48.533706Z digest=sha256:4e3d39f71866eb1651147082e5f0349e5adf3fad42d9df03a1efde719db99583

Observation e1f39784-370f-4681-99e2-ba6c9dad2112 · outbound

This paper cites Edgeflow: Achieving practical interactive segmentation with edge-guided flow,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Edgeflow: Achieving practical interactive segmentation with edge-guided flow,

Reference 37

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raw_fallback, observed 2026-08-11T16:14:48.740955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:14:48.536860Z digest=sha256:8115f5c72143c5f57175bc281b2a65c2025b776b4ea38f4b23f8dd2499d7d32c

Observation c00459fa-1e73-41a6-b2d8-4f41e0333fe6 · outbound

This paper cites Efficient mask correction for click-based interactive image segmentation,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Efficient mask correction for click-based interactive image segmentation,

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-11T16:14:48.730846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 33be4197-c8e1-42fd-a890-c58b0a48731d · outbound

This paper cites Interformer: Real-time interactive image segmentation,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Interformer: Real-time interactive image segmentation,

Reference 39

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation c99574a3-84ea-4d8a-bd88-084b98210395 · outbound

This paper cites Dinov2: Learning robust visual features without supervision,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Dinov2: Learning robust visual features without supervision,

Reference 40

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e11f8985-7854-4909-819e-3f0d531b355f · outbound

This paper cites Segment Everything Everywhere All at Once.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Segment Everything Everywhere All at Once

Reference 41

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 791be4f1-9ab7-43bb-8c90-d34fc294a064 · outbound

This paper cites SegGPT: Segmenting Everything In Context.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation SegGPT: Segmenting Everything In Context

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T16:14:48.550883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a576080a-0648-44b8-a2f8-8d2eb65586dc · outbound

This paper cites Segment Anything in High Quality.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Segment Anything in High Quality

Reference 43

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 81a56794-204b-4b19-af00-960608a0943a · outbound

This paper cites Image Harmonization Dataset iHarmony4: HCOCO, HAdobe5k, HFlickr, and Hday2night.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Image Harmonization Dataset iHarmony4: HCOCO, HAdobe5k, HFlickr, and Hday2night

Reference 44

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a3e7f8ba-749e-4000-8374-242ad24ac48b · outbound

This paper cites Taming transformers for high- resolution image synthesis,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Taming transformers for high- resolution image synthesis,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T16:14:48.559031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0db71c6e-056a-4bdc-ba2e-ae3593febef2 · outbound

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

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Learning transferable visual models from natural language supervision,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T16:14:48.561152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:14:48.561152Z digest=sha256:1f8ebe35bc77655431c77e59aee18f22a3fdb38a853b411dae02e6d27f6a02db

Observation ab10486d-ebae-4bff-8492-8bffce845274 · outbound

This paper cites Modular interactive video object segmentation: Interaction-to-mask, propagation and difference- aware fusion,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Modular interactive video object segmentation: Interaction-to-mask, propagation and difference- aware fusion,

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5d6d7278-3c20-4565-8142-3ca5326cab2b · outbound

This paper cites Memory aggregation networks for efficient interactive video object segmentation,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Memory aggregation networks for efficient interactive video object segmentation,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:14:48.693980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:14:48.565885Z digest=sha256:79d5fb361181faf48fabdd794d9a52914570bd32e6f483ea9c9fc48622cadda9

Observation 130d9901-6f57-4c55-9f20-ac8904188364 · outbound

This paper cites Segmented anisotropic sstem dataset of neural tissue,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Segmented anisotropic sstem dataset of neural tissue,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:14:48.684301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:14:48.568813Z digest=sha256:3bf22da43a587adfb82f36e9f4bde2820bc499f404fff52f4aec793c60436050

Observation 42e152ad-fff5-409e-b67a-75045824c1c5 · outbound

This paper cites The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Reference 50

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9f44eaf0-2b91-4aeb-84cc-7b5cd5652f94 · outbound

This paper cites Automated segmen- tation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the osteoarthritis initia- tive,.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Automated segmen- tation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the osteoarthritis initia- tive,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:14:48.675192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T16:14:48.575006Z digest=sha256:164a3cda8d97545a0eca6f1372abdb572fea4a54db25524b0eeeb07841bd7e43

Pith citing papers

Observation 9e1d9cfd-9a64-4c99-a68b-616e55a9a44d · inbound

Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer cites this paper.

Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer SPT: Sequence Prompt Transformer for Interactive Image Segmentation

Reference 8

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dd3bd114-9c49-4a6e-a623-670c9dbe7b2d · inbound

STeInFormer: Spatial-Temporal Interaction Transformer Architecture for Remote Sensing Change Detection cites this paper.

STeInFormer: Spatial-Temporal Interaction Transformer Architecture for Remote Sensing Change Detection SPT: Sequence Prompt Transformer for Interactive Image Segmentation

Reference 57

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:45:22.591290Z digest=sha256:b72c1ab865639177d15a59ccb443b5a7c4da8fa7c141d0a8ae3e2f316d919b1f

Observation 4980a57a-de81-4a22-a6a0-2cc0c3dc7e40 · inbound

Multi-View Factorizing and Disentangling: A Novel Framework for Incomplete Multi-View Multi-Label Classification cites this paper.

Multi-View Factorizing and Disentangling: A Novel Framework for Incomplete Multi-View Multi-Label Classification SPT: Sequence Prompt Transformer for Interactive Image Segmentation

Reference 1

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:05:03.181076Z digest=sha256:39afa1aca12174088a3efb618b0c4510035e53a02ea16b5c915288bd3ceaa4cd

Observation 6f3004f8-434e-42fc-9c97-8c43581c0f5b · inbound

A Novel Scene Coupling Semantic Mask Network for Remote Sensing Image Segmentation cites this paper.

A Novel Scene Coupling Semantic Mask Network for Remote Sensing Image Segmentation SPT: Sequence Prompt Transformer for Interactive Image Segmentation

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:08:40.813043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T17:08:39.145473Z digest=sha256:79f0a4ccb7e56f060e751f80391faef64a811d9f11736a19c41407bee4435c49