Paper Citation Record · LEDGER

Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2

As of 7 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2507.14613.

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

pith.paper-citation-record.v1
2507.14613 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:56:39.687700Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

14 of 14 outbound references displayed

verified exact0
verified fuzzy7
unresolved5
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5deed596-dac0-4f54-9367-442e74444093 · outbound

This paper cites The results are presented in Table 1.

Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2 The results are presented in Table 1

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:56:41.084410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 44cf5867-ced4-4a77-9dc7-02b7aff617b2 · outbound

This paper cites Its architecture comprises three main components: an image encoder, a prompt encoder, and a mask decoder.

Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2 Its architecture comprises three main components: an image encoder, a prompt encoder, and a mask decoder

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:56:42.349896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 507f8c77-0451-4988-a830-54b3be5ee801 · outbound

This paper cites The architecture is composed of four key components: the image encoder, streaming memory, prompt encoder, and mask decoder.

Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2 The architecture is composed of four key components: the image encoder, streaming memory, prompt encoder, and mask decoder

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:56:42.052508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4e873f02-67ab-4f6f-91c0-3c5116435f3e · outbound

This paper cites an unresolved cited work.

Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2 Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:56:41.823349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49c5dd50-3c53-479a-b575-89382f6dabe2 · outbound

This paper cites an unresolved cited work.

Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2 Unresolved cited work

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T15:56:41.662648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3330d967-2867-4aee-bd27-b0fe0754ec16 · outbound

This paper cites an unresolved cited work.

Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2 Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:56:41.506185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e98db074-677c-42cc-b852-c7e987d9c7e0 · outbound

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

Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2 Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:56:39.022143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29129471-3484-4662-861f-bf6420c041c5 · outbound

This paper cites The corresponding performance metrics are summarized in Table 2.

Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2 The corresponding performance metrics are summarized in Table 2

Reference 9

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T15:56:40.914739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bc56d8cc-114c-4903-974b-0c2f517b93ee · outbound

This paper cites The first -frame prompt was a bounding box, while the middle -frame prompt varied across three types: mask, bounding box, and 10 positive points.

Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2 The first -frame prompt was a bounding box, while the middle -frame prompt varied across three types: mask, bounding box, and 10 positive points

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:56:40.742360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ab6548b2-b5ed-4855-a989-7ec505f77f36 · outbound

This paper cites an unresolved cited work.

Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2 Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:56:40.513094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e99df406-dc20-4eb0-872c-97fb33648973 · outbound

This paper cites The results, presented in Table 10, indicate that both models maintain competitive performance across all four evaluation metrics , even with as few as one or two training cases.

Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2 The results, presented in Table 10, indicate that both models maintain competitive performance across all four evaluation metrics , even with as few as one or two training cases

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:56:40.189368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 74d45e81-3666-40f4-97c6-dc70bd448c02 · outbound

This paper cites an unresolved cited work.

Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2 Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:56:41.299133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2ba5a18b-8da0-457c-a3c3-774f9d1a1308 · outbound

This paper cites The results are summarized in Table 11.

Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2 The results are summarized in Table 11

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:56:40.112130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49e7e743-ea47-4fbf-95e7-ef7e79c9cd59 · outbound

This paper cites In these visualizations, the ground truth annotations are shown in red, whereas the model predictions are depicted in green.

Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2 In these visualizations, the ground truth annotations are shown in red, whereas the model predictions are depicted in green

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:56:39.906465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.