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Paper Citation Record · LEDGER

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network

As of 16 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2412.16503.

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

pith.paper-citation-record.v1
2412.16503 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:35:53.681911Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

31 of 31 outbound references displayed

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  • verified fuzzy13
  • unresolved15
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e0d2936-8c49-4d17-8ca8-731767172a29 · outbound

This paper cites Frontiers in intelligent colonoscopy,.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Frontiers in intelligent colonoscopy,

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 26729379-0e5c-4115-a4ef-e162bb50628e · outbound

This paper cites DACAT: Dual-stream Adaptive Clip-aware Time Modeling for Robust Online Surgical Phase Recognition.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network DACAT: Dual-stream Adaptive Clip-aware Time Modeling for Robust Online Surgical Phase Recognition

Reference 2

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local_arxiv, observed 2026-08-11T10:35:53.815522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0ec8417a-d8b1-4a4c-b961-cd32272daf43 · outbound

This paper cites Pranet: Parallel reverse attention network for polyp segmentation,.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Pranet: Parallel reverse attention network for polyp segmentation,

Reference 3

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Observation 95e25951-2b45-4efb-8dc6-72e6dafac090 · outbound

This paper cites Learn to threshold: Thresholdnet with confidence-guided manifold mixup for polyp segmentation,.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Learn to threshold: Thresholdnet with confidence-guided manifold mixup for polyp segmentation,

Reference 4

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raw_fallback, observed 2026-08-11T10:35:54.103354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1b483917-7888-4947-8456-673939665f87 · outbound

This paper cites Shallow attention network for polyp segmentation,.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Shallow attention network for polyp segmentation,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9a33d5b7-fa57-45ef-a854-b180bedd4ea9 · outbound

This paper cites Cross- level feature aggregation network for polyp segmentation,.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Cross- level feature aggregation network for polyp segmentation,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4163d580-eb2b-4147-9104-3ba2bbed9fcd · outbound

This paper cites IBoxCLA: Towards Robust Box-supervised Segmentation of Polyp via Improved Box-dice and Contrastive Latent-anchors.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network IBoxCLA: Towards Robust Box-supervised Segmentation of Polyp via Improved Box-dice and Contrastive Latent-anchors

Reference 7

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local_arxiv, observed 2026-08-11T10:35:53.802886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2b03e29b-9348-4f53-9a57-9d130e9e55ab · outbound

This paper cites Monobox: Tightness-free box-supervised polyp segmentation using monotonicity constraint,.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Monobox: Tightness-free box-supervised polyp segmentation using monotonicity constraint,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c37890a2-bdb3-4471-aef0-f5daae2a1011 · outbound

This paper cites Video polyp segmentation: A deep learning perspective,.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Video polyp segmentation: A deep learning perspective,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7fd87b4a-3928-49f0-8d18-935f35615775 · outbound

This paper cites An embedding-unleashing video polyp segmentation framework via region linking and scale align- ment,.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network An embedding-unleashing video polyp segmentation framework via region linking and scale align- ment,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6ad38e0a-ff7f-41fe-816f-243d2be677d3 · outbound

This paper cites SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation

Reference 11

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local_arxiv, observed 2026-08-11T10:35:53.788646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8c89d19d-2d32-4007-b66c-cd765600fb3a · outbound

This paper cites Perturbed and strict mean teachers for semi-supervised semantic seg- mentation,.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Perturbed and strict mean teachers for semi-supervised semantic seg- mentation,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0a3dce49-a7e6-45e3-8af3-62c1cd0551dc · outbound

This paper cites Acl-net: semi-supervised polyp segmentation via affinity contrastive learning,.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Acl-net: semi-supervised polyp segmentation via affinity contrastive learning,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 71cb7be5-da9b-4814-a637-8241c21e073b · outbound

This paper cites Corrmatch: Label propagation via correlation matching for semi-supervised semantic segmentation,.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Corrmatch: Label propagation via correlation matching for semi-supervised semantic segmentation,

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 78857546-7ad0-4926-b733-99903f31f863 · outbound

This paper cites Tccnet: Temporally consistent context-free network for semi- supervised video polyp segmentation.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Tccnet: Temporally consistent context-free network for semi- supervised video polyp segmentation

Reference 15

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raw_fallback, observed 2026-08-11T10:35:54.015826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bf9011c8-14f0-4e53-a456-a84c95a5af2d · outbound

This paper cites Semi- supervised spatial temporal attention network for video polyp segmen- tation,.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Semi- supervised spatial temporal attention network for video polyp segmen- tation,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1e75b64d-233d-4c7d-a199-a0c6c5f387b1 · outbound

This paper cites Semi-supervised video semantic segmentation with inter-frame feature reconstruction,.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Semi-supervised video semantic segmentation with inter-frame feature reconstruction,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5266facb-2286-42e2-a4b6-26f1c251aaa9 · outbound

This paper cites Infer from what you have seen before: Temporally-dependent classifier for semi-supervised video segmentation,.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Infer from what you have seen before: Temporally-dependent classifier for semi-supervised video segmentation,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b1283816-161c-4bb0-9927-7e2b41b04bac · outbound

This paper cites Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model,.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model,

Reference 19

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Observation 57c9414e-7bfe-4968-bd09-8789eb4e1881 · outbound

This paper cites Segment and Track Anything.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Segment and Track Anything

Reference 20

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Unavailable: canonical work link unavailable.

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Observation 26342eca-07d4-4492-a276-18356c532f47 · outbound

This paper cites Track Anything: Segment Anything Meets Videos.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Track Anything: Segment Anything Meets Videos

Reference 21

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Observation a8d5a000-da88-496c-bfa4-dd28058980fd · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network SAM 2: Segment Anything in Images and Videos

Reference 22

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Observation bfea3c40-51d8-4481-8c40-5c6cd4fa819d · outbound

This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network The 2017 DAVIS Challenge on Video Object Segmentation

Reference 23

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Observation 2a9505e6-4291-4228-8db8-067761d6160f · outbound

This paper cites YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark

Reference 24

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Observation 90ba7552-69d5-4611-8124-4bf4e534becb · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Pytorch: An imperative style, high-performance deep learning library,

Reference 25

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Unavailable: canonical work link unavailable.

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Observation 2834bd81-974d-447f-8dd9-ec64f913ef4b · outbound

This paper cites Pvt v2: Improved baselines with pyramid vision transformer,.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Pvt v2: Improved baselines with pyramid vision transformer,

Reference 26

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Unavailable: canonical work link unavailable.

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Observation ead4d8d3-f097-4a3a-80bb-0036a9798f92 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Imagenet: A large-scale hierarchical image database,

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dd112f46-f987-44e7-9484-5cf60e89a136 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Adam: A Method for Stochastic Optimization

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 67bab0bc-8882-42e4-91ce-a71b29edd472 · outbound

This paper cites A novel parallel cooperative mean- teacher framework (pcmt) combined with prediction uncertainty guide and class contrastive learning for semi-supervised polyp segmentation,.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network A novel parallel cooperative mean- teacher framework (pcmt) combined with prediction uncertainty guide and class contrastive learning for semi-supervised polyp segmentation,

Reference 29

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raw_fallback, observed 2026-08-11T10:35:53.950603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0c731847-924f-4874-af3f-16303212aca9 · outbound

This paper cites Segment Anything in Medical Images and Videos: Benchmark and Deployment.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Segment Anything in Medical Images and Videos: Benchmark and Deployment

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 915588b8-04c5-44b2-ac0d-3a0f32d8465d · outbound

This paper cites Medical SAM 2: Segment medical images as video via Segment Anything Model 2.

First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 31

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Pith citing papers

No inbound Pith citation observations are available.