Paper Citation Record · LEDGER

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation?

As of 10 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2502.07120.

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

pith.paper-citation-record.v1
2502.07120 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:48:15.497469Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:48:15.429574Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T13:48:15.570130Z

Reference resolution

27 of 27 outbound references displayed

verified exact0
verified fuzzy13
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e0cbaa9a-39a2-440f-a859-dbb72571d60f · outbound

This paper cites However, this task presents several challenges, variability in image quality and the complex anatomy of the colorectal region hinders precise delineation of tumors.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? However, this task presents several challenges, variability in image quality and the complex anatomy of the colorectal region hinders precise delineation of tumors

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:48:15.741559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e840fa4d-f690-466c-bc7e-161c0686e494 · outbound

This paper cites an unresolved cited work.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:48:15.732787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2866d860-df97-4785-848b-2f0786817ebd · outbound

This paper cites an unresolved cited work.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:48:15.723699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 201cc69c-8f29-482b-b99b-4960e69ffe52 · outbound

This paper cites Our results demonstrate that efficient channel mixing and spatially gated features can outperform many existing computationally intensive long- range modeling techniques.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? Our results demonstrate that efficient channel mixing and spatially gated features can outperform many existing computationally intensive long- range modeling techniques

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:48:15.715356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 85a4e49d-72aa-4d94-8fe4-fe67eca4c474 · outbound

This paper cites Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation?.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation?

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T13:48:15.575915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fbd258d2-931d-4398-b6ca-a3b5d844ba31 · outbound

This paper cites Assessing the impact of long range sequence modeling through Mamba requires a fair comparison with SegMamba [9].

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? Assessing the impact of long range sequence modeling through Mamba requires a fair comparison with SegMamba [9]

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:48:15.705742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 493e1481-6534-4d6e-9cd2-006a8ce84a59 · outbound

This paper cites The relevant baselines and all proposed architectures were trained on CTS- 204 for 200 epochs for the same learning rate and valida- tion interval.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? The relevant baselines and all proposed architectures were trained on CTS- 204 for 200 epochs for the same learning rate and valida- tion interval

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:48:15.696602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 325e4dab-3dd1-4994-b3e1-cc8c18c3d559 · outbound

This paper cites The results of these experiments are summarized in Tables 1.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? The results of these experiments are summarized in Tables 1

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:48:15.687272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9bbada5d-c861-4bea-b13d-2530e3adf403 · outbound

This paper cites an unresolved cited work.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:48:15.678452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c1649aec-d1b5-485c-803b-ea6ac1917cd2 · outbound

This paper cites Approval was granted by Northwest- ern University (No.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? Approval was granted by Northwest- ern University (No

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:48:15.668541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4db8cb01-3517-4cca-a0db-f5cd0f33734b · outbound

This paper cites an unresolved cited work.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:48:15.659304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d0dc5362-c213-4de2-9b3b-b5e1413be628 · outbound

This paper cites U-Net: convolutional networks for biomedical image segmentation,.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? U-Net: convolutional networks for biomedical image segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:48:15.651062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0b9d6d1b-cf30-4eab-b6df-3225eb8d06ad · outbound

This paper cites Swin- unet: Unet-like pure transformer for medical image seg- mentation,.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? Swin- unet: Unet-like pure transformer for medical image seg- mentation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:48:15.641566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f2c91a09-8e8a-4b94-aab3-a0ac2fd30604 · outbound

This paper cites Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images,.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:48:15.632580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 11b2c9b7-5f0e-4396-a2e6-e1a73d033cb6 · outbound

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

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T13:48:15.461410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9789cb4-3d2c-4225-89af-2339d127b998 · outbound

This paper cites Attention is all you need,.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? Attention is all you need,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T13:48:15.464955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81cab3b6-7d1e-4759-9228-923ee8099ca7 · outbound

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

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T13:48:15.467758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f0e5de1-dafd-472f-b336-c8c421a38175 · outbound

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

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T13:48:15.471256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17024a05-186b-4ace-a4c8-4c619714797a · outbound

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

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? nnu-net: a self- configuring method for deep learning-based biomedical image segmentation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:48:15.618733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ca4b687b-6688-4fc7-92d2-cb91432c2fc9 · outbound

This paper cites Segmamba: Long-range sequential model- ing mamba for 3d medical image segmentation,.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? Segmamba: Long-range sequential model- ing mamba for 3d medical image segmentation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:48:15.609738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0e25cfe6-802a-4f97-9597-597565d8db20 · outbound

This paper cites MambaOut: Do We Really Need Mamba for Vision?.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? MambaOut: Do We Really Need Mamba for Vision?

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T13:48:15.479776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3be5cbf2-ddf2-45f3-b0b7-dd09ab1fc162 · outbound

This paper cites Uncertainty-aware multi-dimensional mutual learning for brain and brain tumor segmentation,.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? Uncertainty-aware multi-dimensional mutual learning for brain and brain tumor segmentation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:48:15.601149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bd40c63f-1b0f-462d-a432-3e62e49dc5bc · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T13:48:15.486514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a99dc6d-99a5-47e5-80ff-aa54d6891cf8 · outbound

This paper cites MambaVision: A Hybrid Mamba-Transformer Vision Backbone.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T13:48:15.489354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5330b38f-27ea-4145-aef7-dc45d4b9abdc · outbound

This paper cites Language modeling with gated convolu- tional networks,.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? Language modeling with gated convolu- tional networks,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T13:48:15.491894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99a50906-33f2-415d-8a3f-f9f26884312c · outbound

This paper cites Metrics reloaded: Pitfalls and recommendations for image analysis validation,.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? Metrics reloaded: Pitfalls and recommendations for image analysis validation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:48:15.586809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 76b2ebe3-621b-432d-ba18-6fa43dad4492 · outbound

This paper cites Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers.

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation? Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T13:48:15.497469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 85a4e49d-72aa-4d94-8fe4-fe67eca4c474 · inbound