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Paper Citation Record · LEDGER

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation

As of 20 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2508.19705.

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

pith.paper-citation-record.v1
2508.19705 v1

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:38:04.824713Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

77 of 77 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef5b46a3-d122-4214-a15e-f9f0ec477c68 · outbound

This paper cites Current and future colorectal cancer screening strategies.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Current and future colorectal cancer screening strategies

Reference 1

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Observation 0bc9f2cb-f972-4641-8864-59be3a2d4e6d · outbound

This paper cites Reduction in colorectal cancer incidence by screening endoscopy.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Reduction in colorectal cancer incidence by screening endoscopy

Reference 2

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Observation 847f3f95-e3da-4ff9-9103-f101d2d84229 · outbound

This paper cites Frontiers in intelligent colonoscopy.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Frontiers in intelligent colonoscopy

Reference 3

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Observation 8ea9fe67-19ca-4eab-9223-bad0dfb681c7 · outbound

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

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Selective feature aggregation network with area-boundary constraints for polyp segmentation

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation cdb2ffc3-e79a-4691-b0a7-df362ec1435d · outbound

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

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Pranet: Parallel reverse 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 2026-08-20T06:33:59.587034+00:00.

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Observation c18ac3d4-86ff-4b50-88ff-320537b8129b · outbound

This paper cites Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation.Medical image analysis, 78:102394, 2022.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation.Medical image analysis, 78:102394, 2022

Reference 6

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Source-reported events for the cited work

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Observation 1db6d02d-1881-4f16-bddc-ddaec9b000ac · outbound

This paper cites A deep weakly semi-supervised framework for endoscopic lesion segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation A deep weakly semi-supervised framework for endoscopic lesion segmentation

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0c64e617-5fc9-49e9-b235-07b7f889c770 · outbound

This paper cites Querynet: A unified framework for accurate polyp segmentation and detection.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Querynet: A unified framework for accurate polyp segmentation and detection

Reference 8

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Source-reported events for the cited work

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Observation a770057d-8564-46f3-a1f6-0cc2c433cce2 · outbound

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

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Video polyp segmentation: A deep learning perspective

Reference 9

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Source-reported events for the cited work

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Observation 5ebcd1a0-b8a6-49f2-a2d8-3a49fc13c291 · outbound

This paper cites Diff-vps: Video polyp segmentation via a multi-task diffusion network with adversarial temporal reasoning.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Diff-vps: Video polyp segmentation via a multi-task diffusion network with adversarial temporal reasoning

Reference 10

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Source-reported events for the cited work

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Observation 56f41cfb-aa8f-4d7b-a4f4-0aec1062369d · outbound

This paper cites Vivim: a Video Vision Mamba for Medical Video Segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Vivim: a Video Vision Mamba for Medical Video Segmentation

Reference 11

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Observation 7abdaffd-c089-487c-b5fe-7ef1f94ba274 · outbound

This paper cites Sali: Short- term alignment and long-term interaction network for colonoscopy video polyp segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Sali: Short- term alignment and long-term interaction network for colonoscopy video polyp segmentation

Reference 12

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Source-reported events for the cited work

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Observation 8ea9c8d5-0f5d-4691-be99-62c460bf0b95 · outbound

This paper cites Video instance segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Video instance segmentation

Reference 13

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Source-reported events for the cited work

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Observation b9cda6fe-abf5-48cd-993e-e246a1b1d423 · outbound

This paper cites Sipmask: Spatial information preservation for fast image and video instance segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Sipmask: Spatial information preservation for fast image and video instance segmentation

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation fe2fbc53-0164-406d-9f78-39757c01a47d · outbound

This paper cites Sg-net: Spatial granularity network for one-stage video instance segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Sg-net: Spatial granularity network for one-stage video instance segmentation

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1d5d9e46-56d1-46e9-8250-4b6c8a725d06 · outbound

This paper cites Crossover learning for fast online video instance segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Crossover learning for fast online video instance segmentation

Reference 16

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Source-reported events for the cited work

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Observation 052c732e-c734-468f-bcba-2d7586759a4c · outbound

This paper cites Deepsort: deep convolutional networks for sorting haploid maize seeds.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Deepsort: deep convolutional networks for sorting haploid maize seeds

Reference 17

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Source-reported events for the cited work

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Observation 872bc87c-9ffe-472d-9b6a-896309b04dcd · outbound

This paper cites Tracking anything with decoupled video segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Tracking anything with decoupled video segmentation

Reference 18

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Source-reported events for the cited work

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Observation 04eb8fcb-a316-4dca-ba7b-04594ce3bc03 · outbound

This paper cites Strongsort: Make deepsort great again.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Strongsort: Make deepsort great again

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e305398a-0334-42ba-b737-86b985d4ada0 · outbound

This paper cites A new approach to linear filtering and prediction problems.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation A new approach to linear filtering and prediction problems

Reference 20

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Source-reported events for the cited work

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Observation e6119b7a-43ed-45ad-82a2-0b5cb9f5bfe1 · outbound

This paper cites A strong baseline and batch normalization neck for deep person re-identification.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation A strong baseline and batch normalization neck for deep person re-identification

Reference 21

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Source-reported events for the cited work

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Observation 21e1f1d8-1f50-4209-873f-a26c3e66a348 · outbound

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

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation SAM 2: Segment Anything in Images and Videos

Reference 22

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Source-reported events for the cited work

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Observation 5a73349e-7290-4b8e-a92e-99ff2df20464 · outbound

This paper cites Segment Anything for Videos: A Systematic Survey.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Segment Anything for Videos: A Systematic Survey

Reference 23

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Source-reported events for the cited work

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Observation 3743a164-07d1-4cf3-a211-d30cc4cca597 · outbound

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

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Segment Anything in Medical Images and Videos: Benchmark and Deployment

Reference 24

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Source-reported events for the cited work

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Observation 42350f1c-4493-4bf9-89b8-8dffab3f3a32 · outbound

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

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation U-net: Convolutional networks for biomedical image segmentation

Reference 25

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Source-reported events for the cited work

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Observation fd6806cc-37e2-4f84-96af-c8a099434cc4 · outbound

This paper cites Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

Reference 26

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Source-reported events for the cited work

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Observation c4dfd964-6f33-45fa-94d2-63ab02e38713 · outbound

This paper cites Polyp-mamba: Polyp segmentation with visual mamba.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Polyp-mamba: Polyp segmentation with visual mamba

Reference 27

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Source-reported events for the cited work

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Observation ebd249b9-101e-4997-acbe-8d450ae64a46 · outbound

This paper cites Toward em- bedded detection of polyps in wce images for early diagnosis of colorectal cancer.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Toward em- bedded detection of polyps in wce images for early diagnosis of colorectal cancer

Reference 28

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Source-reported events for the cited work

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Observation 8d9c1123-a73e-438b-b7e9-aff2ba0a6a01 · outbound

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

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Wm-dova maps for accurate polyp highlighting in colonoscopy: Val- idation vs

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e817ed57-be2c-4d9d-a368-ab87eaa835b8 · outbound

This paper cites Automated polyp detection in colonoscopy videos using shape and context information.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Automated polyp detection in colonoscopy videos using shape and context information

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3e5de519-0dcf-4147-969e-c28184c3da2f · outbound

This paper cites A benchmark for endoluminal scene segmentation of colonoscopy images.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation A benchmark for endoluminal scene segmentation of colonoscopy images

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a574e09a-29be-40b1-a218-81b48bbb24f9 · outbound

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

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Kvasir-seg: A segmented polyp dataset

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ddd61c9e-cb09-48c8-9772-3599ef687ab0 · outbound

This paper cites Benchmarking polyp segmentation methods in narrow- band imaging colonoscopy images.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Benchmarking polyp segmentation methods in narrow- band imaging colonoscopy images

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c0de85d0-f4d0-45a4-9cb0-16b620d58635 · outbound

This paper cites Endoscopic polyp segmentation using a hybrid 2d/3d cnn.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Endoscopic polyp segmentation using a hybrid 2d/3d cnn

Reference 34

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raw_fallback, observed 2026-08-05T15:38:05.698530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.628223Z digest=sha256:0e1714b7c5c84be17b2605bfda02dae3553f6cfd0c2e88db9d3bc2688cdd2b14

Observation 006a9b58-68e5-446f-916f-c2147d6f80ce · outbound

This paper cites Progressively normalized self-attention network for video polyp segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Progressively normalized self-attention network for video polyp segmentation

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.683382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.632374Z digest=sha256:eee0d603ed86c40b4a111b50ab0a79b80f332fa34e544dceed95ada86a47d028

Observation b49ac9cf-bb9b-49a8-8048-7aacc59c4951 · outbound

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

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation An embedding-unleashing video polyp segmentation framework via region linking and scale alignment

Reference 36

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raw_fallback, observed 2026-08-05T15:38:05.668735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.637368Z digest=sha256:85fc9a9ec12ee4dce6ca97cc4d126e29d722e4602b795f0d545ced79bc22f63a

Observation 1dc3725c-c640-4ad1-bc4d-231a6406d4b3 · outbound

This paper cites Video object segmentation using space-time memory networks.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Video object segmentation using space-time memory networks

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.653760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.641824Z digest=sha256:f126dbafc4521d4b3fdd5164f9891def5876fb58ab2a027c456067fe663e1dd7

Observation f3cf72db-e2b3-4484-9a2a-9658d4413c99 · outbound

This paper cites Learning what to learn for video object segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Learning what to learn for video object segmentation

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.635929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.646210Z digest=sha256:72e4692f35ead0c47b6142b26ba0d3d2b808b121e162b9317a033bd2d5f4343a

Observation 5e11e754-7637-4a5c-bb4b-e7cc7b98f8cc · outbound

This paper cites Learning fast and robust target models for video object segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Learning fast and robust target models for video object segmentation

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.620421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.650368Z digest=sha256:f15adefdd90d8ff483bfb6f22a5bfc962c0a29ba7adcd117b5b93927d5cfd998

Observation 8c683e43-1dbd-4d99-bc51-da40ac58d1d1 · outbound

This paper cites Rethinking space-time networks with improved memory coverage for efficient video object segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Rethinking space-time networks with improved memory coverage for efficient video object segmentation

Reference 40

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raw_fallback, observed 2026-08-05T15:38:05.605579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.654913Z digest=sha256:9877a1cf7a69211826122df8a60b66a8c8862717601302507513dea897affe29

Observation 7ce06335-4bd5-45e6-a04f-417260d993cf · outbound

This paper cites Video object segmentation using kernelized memory network with multiple kernels.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Video object segmentation using kernelized memory network with multiple kernels

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.590799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.659355Z digest=sha256:961a024e139e4c767094137e51d46282fdd1e9030559a089226babbc640221eb

Observation ed137518-2281-4727-9952-f290beee25fa · outbound

This paper cites Boosting video object segmentation via space-time correspondence learning.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Boosting video object segmentation via space-time correspondence learning

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.576251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.663851Z digest=sha256:931a975471a6dce823ce28122961b5b19e667c162d781e1951260c2854df02fc

Observation 7a0af24f-033b-494e-82a2-51bacd051e66 · outbound

This paper cites SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 43

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no resolver link, observed 2026-08-05T15:38:04.668203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:38:04.668203Z digest=sha256:25c9682f06b2185650e47801268ec6b78b20f304ad06406ae796e964f3e68b7f

Observation 31ab42f7-a86f-4c91-a153-f91abef7ca0f · outbound

This paper cites SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree

Reference 44

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no resolver link, observed 2026-08-05T15:38:04.673410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:38:04.673410Z digest=sha256:aff4c047ccc5491fd9085c534fa43c6cd838eee6c2a4204eccf9d4beecad82eb

Observation b8d0b5b5-f3fb-4f83-999a-a15592e02808 · outbound

This paper cites A Distractor-Aware Memory for Visual Object Tracking with SAM2.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation A Distractor-Aware Memory for Visual Object Tracking with SAM2

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:38:04.677998Z digest=sha256:a53a3d11c7207e38f7f28653b1d164494b866bd9d80fcdff5da887098790ec49

Observation 0ba90a7c-f19e-4b77-bb56-77e41fc7c3b7 · outbound

This paper cites End-to-end object detection with transformers.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation End-to-end object detection with transformers

Reference 46

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no resolver link, observed 2026-08-05T15:38:04.682479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:38:04.682479Z digest=sha256:609667856474972d9d10b15fdc3bbc1ed182de7a58978a198148548502c465ed

Observation 32d83c3b-49ef-459b-89d0-76fce787f709 · outbound

This paper cites The hungarian method for the assignment problem.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation The hungarian method for the assignment problem

Reference 47

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no resolver link, observed 2026-08-05T15:38:04.687000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:38:04.687000Z digest=sha256:ab95d9c070e74c7861b7136a374fa459e3e5241bcc0c159db35d59f52a61e1c4

Observation 0406bb48-c012-4b11-90ef-7c5d732aeee8 · outbound

This paper cites Piccolo white-light and narrow-band imaging colonoscopic dataset: A performance comparative of models and datasets.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Piccolo white-light and narrow-band imaging colonoscopic dataset: A performance comparative of models and datasets

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.541814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.691363Z digest=sha256:6fc32cda9a9c68c5fc52bff375a054d93659679a9f87a19e2a84d42da55a6bff

Observation 6e091dec-49c0-4e11-9a54-5832d77e0b25 · outbound

This paper cites A multi- centre polyp detection and segmentation dataset for generalisability assessment.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation A multi- centre polyp detection and segmentation dataset for generalisability assessment

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.527608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.695598Z digest=sha256:4ac29c5a04702b074bf40b6ffefc9a64a1b8644ec8cc6907154a44531bf09f2b

Observation b062a769-96c0-4e58-9b87-7a517d2bc228 · outbound

This paper cites Polyper: Boundary sensitive polyp segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Polyper: Boundary sensitive polyp segmentation

Reference 50

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verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.512754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.700426Z digest=sha256:4bb2566ad56908641f67d3a3d2644e3416de3492e0ff1373785aaec3c6349ce6

Observation 486f5bf0-3628-4ae9-bfa8-800e3090f416 · outbound

This paper cites Efficient semantic video segmentation with per-frame inference.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Efficient semantic video segmentation with per-frame inference

Reference 51

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raw_fallback, observed 2026-08-05T15:38:05.497082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.705633Z digest=sha256:ba09b9ded504308abf1dd3cd74542f2a6b2277ee250535262d2ee2440aa5c3f6

Observation 8cb4c42c-ecac-4cfa-ad9c-66aa556e5ac0 · outbound

This paper cites Hiera: A hierarchical vision transformer without the bells-and-whistles.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Hiera: A hierarchical vision transformer without the bells-and-whistles

Reference 52

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raw_fallback, observed 2026-08-05T15:38:05.481834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.711442Z digest=sha256:e16ec60a981dbd6903b9acecc22fb7a912f80504070da6b7f4e5f8933afb81c4

Observation 223a5bed-071d-44b0-ae5e-e8ad56977c82 · outbound

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

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Pytorch: An imperative style, high-performance deep learning library

Reference 53

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unresolved
no resolver link, observed 2026-08-05T15:38:04.716008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:38:04.716008Z digest=sha256:3c2c119930728a822395e9b546be634ce03c40340e07cced2db5055bd4ae883e

Observation e1c52dd0-6a65-48f4-b9eb-8f223cd55d13 · outbound

This paper cites Ultralytics yolo11, 2024.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Ultralytics yolo11, 2024

Reference 54

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unresolved
no resolver link, observed 2026-08-05T15:38:04.720426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:38:04.720426Z digest=sha256:b3f9fc7b7d1fabeac0243712323295b7e9444ba665aafd3f4062a4b34c71f6ae

Observation 7fed3a0a-6647-4d47-bc08-def9e3939fec · outbound

This paper cites Relation detr: Exploring explicit position relation prior for object detection.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Relation detr: Exploring explicit position relation prior for object detection

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.447008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.724563Z digest=sha256:7e6ee4246acf2dbf8f2a4fefa3313657c75dfa4888f1f43c48a4893de6fc9887

Observation 5fba00fd-f2d0-4d90-bebb-91fd261db28b · outbound

This paper cites Tsdetector: Temporal–spatial self-correction collaborative learning for colonoscopy video detection.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Tsdetector: Temporal–spatial self-correction collaborative learning for colonoscopy video detection

Reference 56

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raw_fallback, observed 2026-08-05T15:38:05.432129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.728801Z digest=sha256:a242640c32c120e8f9d8732f64de7da089944a680ad22851339cb1cbafc80296

Observation 633013c5-b87d-42e8-8723-4c94903ce8db · outbound

This paper cites Masked-attention mask transformer for universal image segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Masked-attention mask transformer for universal image segmentation

Reference 57

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verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.416626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.733061Z digest=sha256:01c1eb9973406c6038caceacb10e79f0a29a62cb780f2d572cdbfdca81386ab7

Observation 2ad21bd4-5070-4ed8-8f84-25b9c9df7d01 · outbound

This paper cites Ctvis: Consistent training for online video instance segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Ctvis: Consistent training for online video instance segmentation

Reference 58

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raw_fallback, observed 2026-08-05T15:38:05.402529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.737521Z digest=sha256:be47447fa8dad2e417e6d314bf5a74a6a81b18c45faac30523a041dd13193c9f

Observation 3654d971-1464-4da4-8dea-1e66f4fc1bc8 · outbound

This paper cites an unresolved cited work.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Unresolved cited work

Reference 59

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unresolved
raw_fallback, observed 2026-08-05T15:38:05.387916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.742044Z digest=sha256:a1a0d22a09c46158db48ccca18781cf87cab9bb59028308154553ec5a5060945

Observation 83acba99-6fba-4a5c-87bf-9a36016c2ab8 · outbound

This paper cites Mask r-cnn.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Mask r-cnn

Reference 60

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raw_fallback, observed 2026-08-05T15:38:05.374535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.746713Z digest=sha256:3a48ecec3b18458c7c59d500f95e17ac2f25c40cff68468e9ede98a9f5001013

Observation 272081a3-4316-413c-bbdc-00026629e047 · outbound

This paper cites #IMG" and “#VID.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation #IMG" and “#VID

Reference 61

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raw_fallback, observed 2026-08-05T15:38:05.361049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.751175Z digest=sha256:8910f482a1713cf8029238be528c80e4a2e4bfc870194c2471a7c352341dbb03

Observation d129577f-6ef7-447b-9b75-22bb953d8440 · outbound

This paper cites Our experimental results also support our claim.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Our experimental results also support our claim

Reference 62

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raw_fallback, observed 2026-08-05T15:38:05.341879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.756065Z digest=sha256:983d6e6a699a2da79d2bbacb75837b2692301f568fd3ec9e0485c7b84f21c695

Observation 02589928-bdc2-40b0-9210-709dd4820e0a · outbound

This paper cites Limitations.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Limitations

Reference 63

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raw_fallback, observed 2026-08-05T15:38:05.327501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.760892Z digest=sha256:b3e75b6328cf65417306066328aac383e29ae4cd34e732c11b68ed5274fced4c

Observation d8f6ea5c-84e5-4bd8-a840-40420721a5b8 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include theoretical results.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Guidelines: • The answer NA means that the paper does not include theoretical results

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.312551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.765324Z digest=sha256:4145855cfdd6da307eb80066de95f3059b7416f8296fce00ecdf156dfa469fb3

Observation 52a9e5fc-096b-4e89-92d9-4c7868693651 · outbound

This paper cites The detailed training setting and experimental setup are given in Section 4.2.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation The detailed training setting and experimental setup are given in Section 4.2

Reference 65

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raw_fallback, observed 2026-08-05T15:38:05.297572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.770032Z digest=sha256:cfcd0ca3ed5d792c3377635c32a29fca1367e1e6c183ddbbf97ba6b04648ec6c

Observation e35ac2b0-601c-411c-90e0-338989426c62 · outbound

This paper cites The detailed descriptions of these datasets are presented in Section 4.1 and Appx.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation The detailed descriptions of these datasets are presented in Section 4.1 and Appx

Reference 66

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raw_fallback, observed 2026-08-05T15:38:05.282758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.774583Z digest=sha256:887e80faa3d833076fca35b180eda2f474aac45004dc5dbdfc31a63712ae967e

Observation 7852e8d7-5484-4ca1-886d-a04839504674 · outbound

This paper cites The trained model and code will be released after the review period.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation The trained model and code will be released after the review period

Reference 67

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verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.268235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.779143Z digest=sha256:a4d8e304be10927629726cd5a16bac6554a51ef98031b1cb2a0d402be68cd1d2

Observation 0a96908c-d25e-4aef-aa51-cd063440f2eb · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Guidelines: • The answer NA means that the paper does not include experiments

Reference 68

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verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.253113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.784231Z digest=sha256:b26b5c6b457cd18ea573c68272dcc47b8dc1b4f239d957fcd0f93a5035d229f2

Observation 7f559006-8bde-45ef-a913-05773cf85b3f · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Guidelines: • The answer NA means that the paper does not include experiments

Reference 69

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raw_fallback, observed 2026-08-05T15:38:05.238185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.788750Z digest=sha256:93728caee9f32836c7b4f99297f2f6d188e17b0e1144798c2651aff1787d0447

Observation 7e41f161-0928-4095-8fbf-e6550a39163e · outbound

This paper cites Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.223440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.793140Z digest=sha256:22260b01d1fa80d36c5859a09be92fb99003bd2eaf0dfda0a3d5d753cc5a3286

Observation 74b2063a-4e98-4e1a-a0e1-cdd1209ba7c2 · outbound

This paper cites Please refer to Appx.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Please refer to Appx

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.208400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.797564Z digest=sha256:5d7882aaaa7ba47371bf73368f85c4e16e59a9a35f1781a38d04836f37df5569

Observation e63d2049-f7de-4217-890b-a8709562a21c · outbound

This paper cites Guidelines: • The answer NA means that the paper poses no such risks.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Guidelines: • The answer NA means that the paper poses no such risks

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.191632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.802071Z digest=sha256:97d579e2cd3768c432d21c2f3766a45092510688a1eefb43cb0aa2566fcbf49d

Observation d2c44cd3-61a0-4d85-8b67-ef0571e6fdb3 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not use existing assets.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Guidelines: • The answer NA means that the paper does not use existing assets

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.174204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.806755Z digest=sha256:a38973e603c2624bcc7b6a3d8e711adede22900d2a01b5bb45e515c84e148a0e

Observation b7855519-52f0-4e85-8f37-07dc9b219e99 · outbound

This paper cites an unresolved cited work.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:38:05.156676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.811335Z digest=sha256:19bdd57c8d55e5d7606390310307b94e60836496cbec3f6a0973e8a92b9eefef

Observation 42d801f7-4744-4a95-92ac-83d79bcada3f · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.140903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.815808Z digest=sha256:47325addcc3e43d636450fcc7ea1e51194072fde2196b78a64d22bad8a826dc4

Observation 123c1c67-2764-4682-844e-fb09ffa715df · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.124264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.820460Z digest=sha256:745bac3cb443df1b9a44fb8a6654da6783620824ef548917447ebe3d7655f9e2

Observation 5d7dd02c-db3d-4cc2-9b4c-48647d8bbe75 · outbound

This paper cites Answer: [NA] Justification: Our research does not involve LLMs as any important, original, or non-standard components.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Answer: [NA] Justification: Our research does not involve LLMs as any important, original, or non-standard components

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:38:05.107294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T15:38:04.824713Z digest=sha256:70db23e73081f28698000627040ba18747f7afad90bf13cb44d5be34d84e5960

Pith citing papers

No inbound Pith citation observations are available.