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Paper Citation Record · LEDGER

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting

As of 7 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2607.29033.

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

pith.paper-citation-record.v1
2607.29033 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:00:02.546915Z

measured 57 of 57 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

57 of 57 outbound references displayed

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Outbound references

Observation f168ea8a-e975-447b-88e7-88fc71a869b9 · outbound

This paper cites Nature communications13(1), 4128 (2022).

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Nature communications13(1), 4128 (2022)

Reference 1

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Observation 086006ae-0569-4deb-9f0e-9de4b735a89a · outbound

This paper cites In: European Conference on Computer Vision.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting In: European Conference on Computer Vision

Reference 2

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Observation a85782c1-8145-4921-b76a-7847c549dec0 · outbound

This paper cites Medical image analysis84, 102680 (2023).

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Medical image analysis84, 102680 (2023)

Reference 3

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Observation b7fef7a2-718e-43e6-9402-79b25d598d24 · outbound

This paper cites bioRxiv pp.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting bioRxiv pp

Reference 4

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Observation eb2a3d3e-4fb6-4b97-892b-29ebaa35302b · outbound

This paper cites In: European Conference on Computer Vision.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting In: European Conference on Computer Vision

Reference 5

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Observation d88243e2-19e0-4ec0-9865-46eedc442451 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting SAM 3: Segment Anything with Concepts

Reference 6

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Observation f69ab27c-9b03-4679-a60d-21d8b2404fec · outbound

This paper cites Medical Image Analysis98, 103310 (2024).

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Medical Image Analysis98, 103310 (2024)

Reference 7

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Observation 69ad80e2-4ba4-4eb4-b324-a547ec300466 · outbound

This paper cites Advances in Neural Information Processing Systems35, 16664–16678 (2022).

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Advances in Neural Information Processing Systems35, 16664–16678 (2022)

Reference 8

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Observation 278d3b9d-097f-475d-85fc-1e4c3cd59539 · outbound

This paper cites In: International Workshop on Foundation Models for General Medical AI.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting In: International Workshop on Foundation Models for General Medical AI

Reference 9

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Observation f94d96c2-4fae-4c29-a689-27e838f11d01 · outbound

This paper cites In: International conference on medical image computing and computer-assisted intervention.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting In: International conference on medical image computing and computer-assisted intervention

Reference 10

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Observation 796a3df0-f049-4d14-a053-c159945b8bcd · outbound

This paper cites Advances in neural information processing systems36, 10088–10115 (2023).

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Advances in neural information processing systems36, 10088–10115 (2023)

Reference 11

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Observation bf68fa9e-6e69-4abe-a760-3f96347b1062 · outbound

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

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 12

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Observation 026b8e1e-0272-49e3-93cd-4bae41fc5c12 · outbound

This paper cites Advances in Neural Information Processing Systems 37, 110746–110783 (2024).

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Advances in Neural Information Processing Systems 37, 110746–110783 (2024)

Reference 13

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Observation 6be0bd36-5fbf-41ce-a791-bf792ca98200 · outbound

This paper cites In: European conference on computer vision.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting In: European conference on computer vision

Reference 14

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Observation 3f98f463-572f-49c3-9ecf-174789a2e0c8 · outbound

This paper cites Medical Image Analysis98, 103324 (2024).

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Medical Image Analysis98, 103324 (2024)

Reference 15

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Observation 22971acd-bdc6-4247-ba34-bcb0ecac9a3a · outbound

This paper cites Medical image analysis67, 101821 (2021).

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Medical image analysis67, 101821 (2021)

Reference 16

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Observation 6ce2bf1d-ac53-4901-8ea1-520605757388 · outbound

This paper cites In: International conference on machine learning.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting In: International conference on machine learning

Reference 17

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Observation 7d91cb58-644e-46dc-8547-9f28c0da541e · outbound

This paper cites ICLR1(2), 3 (2022).

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting ICLR1(2), 3 (2022)

Reference 18

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Observation f2d37d0b-7927-4cb3-9c74-276a933e40fd · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 19

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Observation ef2f3f99-31bc-4214-8be9-30297cc5be58 · outbound

This paper cites Nature Methods18(2), 203–211 (2021).

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Nature Methods18(2), 203–211 (2021)

Reference 20

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Observation c44f23db-5457-4298-b154-eb5ebf06ec3e · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 21

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Observation 95591b00-77ba-4f95-9164-9f747ad058cc · outbound

This paper cites In: European conference on computer vision.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting In: European conference on computer vision

Reference 22

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Observation 18d2c941-3892-45c5-8ac7-7a13b6d8949d · outbound

This paper cites Auto-Encoding Variational Bayes.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Auto-Encoding Variational Bayes

Reference 23

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Observation a0f85b30-d93c-44da-a4fb-8254d7f23b7b · outbound

This paper cites In: IEEE Conf.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting In: IEEE Conf

Reference 24

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Observation 83197892-ef7e-4e4f-ad48-185fb57450e4 · outbound

This paper cites 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

Reference 25

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Observation 9d155537-105a-4d0b-9610-209f9e321103 · outbound

This paper cites In: Proceedings of the 2021 conference on empirical methods in natural language processing.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting In: Proceedings of the 2021 conference on empirical methods in natural language processing

Reference 26

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Observation 181c21b2-d382-4ee7-bd71-5f5ffdb61819 · outbound

This paper cites MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 27

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SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Unresolved cited work

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Observation 0c51a154-9652-4e01-978b-a14381414658 · outbound

This paper cites In: IEEE Conf.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting In: IEEE Conf

Reference 29

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Observation dc69bf50-3e77-497a-9aff-3358bf5baedb · outbound

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SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting In: Forty-first International Conference on Machine Learning (2024)

Reference 30

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Observation c2617fe9-32f8-4e3e-ab58-dd5a7595b9d6 · outbound

This paper cites Medical image analysis72, 102102 (2021).

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Medical image analysis72, 102102 (2021)

Reference 31

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Observation 85a4323a-7bff-498f-8223-092666ad29fe · outbound

This paper cites MedSAM2: Segment Anything in 3D Medical Images and Videos.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting MedSAM2: Segment Anything in 3D Medical Images and Videos

Reference 32

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Observation fb0630de-5fca-48ef-ae81-b8d6e64b040a · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting DINOv2: Learning Robust Visual Features without Supervision

Reference 33

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Observation f9b6874d-625a-434b-b265-bc9427df8d47 · outbound

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

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting SAM 2: Segment Anything in Images and Videos

Reference 34

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Observation 44ca71b3-7fe7-4762-bb1d-6e22ab812e40 · outbound

This paper cites In: IEEE Conf.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting In: IEEE Conf

Reference 35

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Observation de33d592-f4ca-4cca-82e8-8636d5e37552 · outbound

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SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Unresolved cited work

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Observation dce52539-c2ce-4a30-89f7-4991bb656bb0 · outbound

This paper cites IEEE Transac- tions on Medical Imaging43(9), 3377–3390 (2024).

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting IEEE Transac- tions on Medical Imaging43(9), 3377–3390 (2024)

Reference 37

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source=pdf_text observed=2026-08-03T15:00:00.939822Z digest=sha256:bcbb7c3dd8d18b535b396cd62b980e1c8a45f7ca9c6ecd5dd3a5a94cfc46957e

Observation 8109e155-4fe4-4474-b8b9-c36d9887dfea · outbound

This paper cites Nature methods18(1), 100–106 (2021).

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Nature methods18(1), 100–106 (2021)

Reference 38

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source=pdf_text observed=2026-08-03T15:00:00.998599Z digest=sha256:d4582143afbce9b032ed36b0bb8d2a0c9048cf812b1fccb673c64aa83e90b9a7

Observation b7e9373b-2953-494f-9d85-729e9f4d3b12 · outbound

This paper cites IEEE transactions on medical imaging36(1), 310–321 (2016).

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting IEEE transactions on medical imaging36(1), 310–321 (2016)

Reference 39

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source=pdf_text observed=2026-08-03T15:00:01.063269Z digest=sha256:f093531e376f20431c5c5a3c3b60e3d1867f76b1b5a749bb9232023c4418f5bc

Observation dc1cd1c4-e36b-45a5-8dae-eca420ce65ec · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 40

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source=pdf_text observed=2026-08-03T15:00:01.142211Z digest=sha256:554a3ce7b8038f6e86a7380dfb2a189c366cbaa6a5a29a91c19b83ee7265bcae

Observation df44414b-6e68-43be-b3d5-93ed82c3a161 · outbound

This paper cites Nature methods14(12), 1141–1152 (2017) 18 Y.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Nature methods14(12), 1141–1152 (2017) 18 Y

Reference 41

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source=pdf_text observed=2026-08-03T15:00:01.226811Z digest=sha256:3cd8578600bdb49cf71d5c5460165e8acbefba7ae7bad4e2343337d9f9415746

Observation 71aeff22-7401-446a-98ed-0f500353af1b · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems (2025).

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting IEEE Transactions on Neural Networks and Learning Systems (2025)

Reference 42

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source=pdf_text observed=2026-08-03T15:00:01.338979Z digest=sha256:3730512294e314f6be183e1d9b6e5e73d359b3eef5896e64eb63e59578d96f0c

Observation 2f0df447-1bb2-44a0-a9b8-29405759bc90 · outbound

This paper cites In: International conference on medical image computing and computer-assisted intervention.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting In: International conference on medical image computing and computer-assisted intervention

Reference 43

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source=pdf_text observed=2026-08-03T15:00:01.457614Z digest=sha256:8d4e863c86a9eebd8fdbf6eea6fde00a4b78573975850cdbf9b028e7982a287e

Observation 2993c81c-b97d-4223-a8c0-c2d8f7e7c8e9 · outbound

This paper cites In: International conference on medical image computing and computer-assisted intervention.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting In: International conference on medical image computing and computer-assisted intervention

Reference 44

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source=pdf_text observed=2026-08-03T15:00:01.534540Z digest=sha256:ad5f4b0b5346e825c18e60645aec324b4a2424072e9fb072d5c25adea800a1d4

Observation 984fadee-7e45-40db-ad3c-0e8f24f1850a · outbound

This paper cites Medical image analysis102, 103547 (2025).

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Medical image analysis102, 103547 (2025)

Reference 45

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source=pdf_text observed=2026-08-03T15:00:01.618353Z digest=sha256:6ce2eb82cbc6d73511c6291541231d7796f40fc9f0eee19efbf263a6c27ab116

Observation 37d8ab5a-cb8b-4f28-ba32-843a21bbdaf7 · outbound

This paper cites Mixture of LoRA Experts.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Mixture of LoRA Experts

Reference 46

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source=pdf_text observed=2026-08-03T15:00:01.697877Z digest=sha256:76e8ccb9e6c3aa19215b8648fa1233c5b5764222863d09247455758d68a51d52

Observation c5a1f4c1-eb11-40b1-8ddd-f9f2d1a14f6a · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 47

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source=pdf_text observed=2026-08-03T15:00:01.779446Z digest=sha256:6736b1ccf93258214821376e9f5c07e4db11682e1a3843cc638e6d98194c1a54

Observation d38ba13c-8434-44c4-911b-1982fbad3410 · outbound

This paper cites arXiv preprint arXiv:2510.08967 (2025).

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting arXiv preprint arXiv:2510.08967 (2025)

Reference 48

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source=pdf_text observed=2026-08-03T15:00:01.860477Z digest=sha256:6165d296169e8e942c1e0965dc08ce9034d50387db693cd56a59372ab360429f

Observation e32156a8-7ccc-4df2-94e0-a83994b27623 · outbound

This paper cites Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning

Reference 49

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source=pdf_text observed=2026-08-03T15:00:01.944124Z digest=sha256:7e294d0033c978b7f3d62038cd3e13db1c8cad564e1fbd58c78173efcb51e63e

Observation 25fab67c-0d63-44d4-b860-595a5aa32468 · outbound

This paper cites Customized Segment Anything Model for Medical Image Segmentation.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Customized Segment Anything Model for Medical Image Segmentation

Reference 50

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source=pdf_text observed=2026-08-03T15:00:02.045148Z digest=sha256:2e634e0d8f99152b52dbf745fcdb1e9701203b7534657f3fa475fe09cc375f9d

Observation 91c69597-e249-446c-941c-65be0230ff8d · outbound

This paper cites AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 51

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source=pdf_text observed=2026-08-03T15:00:02.125985Z digest=sha256:9d80da479b1f37251475ba45a025821e9f80782a8d494b856f394078aed2a1a2

Observation bd3e0292-2353-4925-bbde-116350a90f0d · outbound

This paper cites nnFormer: Interleaved Transformer for Volumetric Segmentation.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 52

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source=pdf_text observed=2026-08-03T15:00:02.206248Z digest=sha256:870a29d8d3e50e6d764d6e2024ccf09b51dde3d6962fce69e3d0cac3dacd4482

Observation 37146069-45f5-46aa-9cab-38572c8831e8 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 53

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source=pdf_text observed=2026-08-03T15:00:02.284633Z digest=sha256:6adc8010fab00790f0b97fe2ea50c7ad1d40eca48df7db3c203ce9cfabadeafd

Observation fac99308-8b69-44c3-94ad-88515e090351 · outbound

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

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 54

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source=pdf_text observed=2026-08-03T15:00:02.337984Z digest=sha256:1ff6fc26177b72e5492d7b935c4f82972d2a7456b95aff36901a5eee0c3d613e

Observation f3907957-6d79-43b5-b7a1-0b7f5fa81fb8 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 55

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source=pdf_text observed=2026-08-03T15:00:02.410221Z digest=sha256:1eb4295d6ba6055939df22fcae5f53396fae04dc744c9a08fe79de5b85502f92

Observation 1cd9dc63-9401-431b-ba72-799687d789a4 · outbound

This paper cites an unresolved cited work.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Unresolved cited work

Reference 56

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source=pdf_text observed=2026-08-03T15:00:02.490650Z digest=sha256:71289fc23e8764045b997cd7a4b8c830be9a27e772d6d4ee49afbbe121b28e3b

Observation b3916603-e3c3-482f-9e1f-c6afadcc4b3e · outbound

This paper cites a computerized tomography of a kidney tumor.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting a computerized tomography of a kidney tumor

Reference 57

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source=pdf_text observed=2026-08-03T15:00:02.546915Z digest=sha256:82939fd822deeae6451bae507804667ca0f5203cc4ae58b64db0a35e38986a70

Pith citing papers

No inbound Pith citation observations are available.