Paper Citation Record · LEDGER

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters

As of 9 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 2 inbound Pith citation observations for arXiv:2605.05979.

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

pith.paper-citation-record.v1
2605.05979 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T15:32:01.798216Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:43:15.140929Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-11T16:41:09.005081Z

Reference resolution

26 of 26 outbound references displayed

verified exact3
verified fuzzy18
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d46eb68f-e3f2-4941-bcce-319cf3fc36b2 · outbound

This paper cites Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-11T16:41:09.007501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 709bf63c-101a-497b-88d0-de98adec9b7f · outbound

This paper cites an unresolved cited work.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-05-26T01:07:16.385575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1fca8514-9d54-4203-8b6f-10209c0115e8 · outbound

This paper cites an unresolved cited work.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-05-26T01:07:16.382141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d362c4c3-23db-461d-ba60-44ddb4a80d8a · outbound

This paper cites an unresolved cited work.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-05-26T01:07:16.389161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ac79e89a-8f12-41b0-9780-0036879d7905 · outbound

This paper cites Datasets and Metrics In our experiments, we focus on biomedical image seg- mentation across multiple modalities and input resolutions.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Datasets and Metrics In our experiments, we focus on biomedical image seg- mentation across multiple modalities and input resolutions

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T01:07:16.393587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e39047db-6d82-4c40-9aa5-ba609c2ad6fe · outbound

This paper cites an unresolved cited work.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-05-26T01:07:16.375343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 25518339-5937-4311-8ffc-86a525b1715f · outbound

This paper cites Segmentation of neuronal structures in em stacks challenge.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Segmentation of neuronal structures in em stacks challenge

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T01:07:16.361333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 91c2f3db-30c8-4eff-bff2-ee30de907725 · outbound

This paper cites Segment anything.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Segment anything

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T01:07:16.368114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 50e73b17-020a-4919-b0bf-668fad52c58e · outbound

This paper cites Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:41:09.012013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7aef5348-5a43-4cfb-a42b-1386cce882ac · outbound

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

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters U-net: Convo- lutional networks for biomedical image segmentation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T01:07:16.357600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5e1b14a3-32f7-4f1a-9df2-25995132eb22 · outbound

This paper cites SAM 2: Segment anything in images and videos.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters SAM 2: Segment anything in images and videos

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T01:07:16.353779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1c532237-fd6e-45da-9d33-930b14652d75 · outbound

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

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Hiera: A hierarchical vision transformer without the bells-and- whistles

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T01:07:16.364911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 20e97f0f-5b39-4948-a36b-a63058a5dd53 · outbound

This paper cites Generalized sam: Efficient fine-tuning of sam for variable input image sizes.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Generalized sam: Efficient fine-tuning of sam for variable input image sizes

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T01:07:16.378901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 758feeb5-bb8e-4f9d-a6a3-0371ec773c6b · outbound

This paper cites Condi- tional positional encodings for vision transformers.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Condi- tional positional encodings for vision transformers

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T01:07:16.361836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d0e755b4-7152-4e3b-bb86-a14f0580396a · outbound

This paper cites Deformable convnets v2: More deformable, better results.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Deformable convnets v2: More deformable, better results

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T01:07:16.345105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f774e0ba-24b5-4f45-a4ef-60d7a7d2199d · outbound

This paper cites Repvgg: Making vgg-style convnets great again.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Repvgg: Making vgg-style convnets great again

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T01:07:16.371644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2d7e4af6-af60-4ab1-832a-a9f23a88fc64 · outbound

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

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Kvasir- seg: A segmented polyp dataset

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T01:07:16.397273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3f8079dc-1513-4f01-9ff7-08e869444c4c · outbound

This paper cites Multi-atlas labeling beyond the cranial vault - workshop and challenge.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Multi-atlas labeling beyond the cranial vault - workshop and challenge

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T01:07:16.322083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ff394117-89ec-4795-a038-80f4ca97053a · outbound

This paper cites Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: Is the problem solved?.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: Is the problem solved?

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T01:07:16.330153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c85225db-f3b4-4b31-b1f9-6e28c5aace32 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Lora: Low-rank adaptation of large language models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T01:07:16.333788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7d932d9f-4658-4e58-91e7-134b8424f121 · outbound

This paper cites Adaptformer: Adapting vision transformers for scalable visual recognition.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Adaptformer: Adapting vision transformers for scalable visual recognition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T01:07:16.337552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d1eb2c0b-1960-4a1f-b7e4-26a2640aa8a6 · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T01:07:16.341767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b0cddb2a-1326-4b73-a888-e8387f6bd54e · outbound

This paper cites Con- volution meets lora: Parameter efficient finetuning for segment anything model.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Con- volution meets lora: Parameter efficient finetuning for segment anything model

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T01:07:16.401059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 738dd6e9-7036-4984-9dc7-ccac17a42adb · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Gaussian Error Linear Units (GELUs)

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-11T16:41:08.979529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation baffb584-6ef5-41ea-bf43-437141748150 · outbound

This paper cites Golden cudgel network for real-time semantic segmentation.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Golden cudgel network for real-time semantic segmentation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T01:07:16.326446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 15858b1c-e423-4dcd-ac75-4cfe27024894 · outbound

This paper cites Towards Efficient Visual Adaption via Structural Re-parameterization.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Towards Efficient Visual Adaption via Structural Re-parameterization

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:41:08.983516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation d46eb68f-e3f2-4941-bcce-319cf3fc36b2 · inbound