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Paper Citation Record · LEDGER

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model

As of 19 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2507.15008.

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

pith.paper-citation-record.v1
2507.15008 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:47:42.022764Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

40 of 40 outbound references displayed

  • verified exact10
  • verified fuzzy3
  • unresolved17
  • parse uncertain0
  • malformed identifier5
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5266e805-39ac-416f-a647-63df0f3e450e · outbound

This paper cites Digital Signal Processing 132:103812.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model Digital Signal Processing 132:103812

Reference 1

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a36116be-e3f7-47c8-b4b5-a641947d179d · outbound

This paper cites Interna- tional Journal of Computational Intelligence Systems 16(1):126.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model Interna- tional Journal of Computational Intelligence Systems 16(1):126

Reference 2

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7d5882a5-576d-4995-b02f-db7b1056a1af · outbound

This paper cites EAI Endorsed Transactions on Pervasive Health and Technology 7(27):e6–e6.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model EAI Endorsed Transactions on Pervasive Health and Technology 7(27):e6–e6

Reference 3

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Unavailable: canonical work link unavailable.

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Observation 6c8b7483-5199-4207-a15b-5527974142c3 · outbound

This paper cites IEEE Transactions on Intelligent Transportation Systems 22(3):1341–1360.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model IEEE Transactions on Intelligent Transportation Systems 22(3):1341–1360

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T15:47:41.708178Z digest=sha256:8ebe3545d875c8f2a6bee5f1b29d1db31b5295f33455de834fed479f19c1483a

Observation cbaadecb-0812-46bc-98bd-f434d4393fc0 · outbound

This paper cites IEEE Transactions on Intel- ligent Transportation Systems 23(11):21405–21417.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model IEEE Transactions on Intel- ligent Transportation Systems 23(11):21405–21417

Reference 5

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Observation e7a54478-3af7-44a3-aafc-494e4d11e600 · outbound

This paper cites In: 2023 IEEE/CVF Inter- national Conference on Computer Vision (ICCV), pp 3992–4003, https://doi.org/10.1109/ ICCV51070.2023.00371 17.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model In: 2023 IEEE/CVF Inter- national Conference on Computer Vision (ICCV), pp 3992–4003, https://doi.org/10.1109/ ICCV51070.2023.00371 17

Reference 6

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:47:41.893069Z digest=sha256:7d5233e4989704872e3eda5cf13657522c1a6f133d51cef077da0a064f6c7fe7

Observation 2285025d-f06e-43ef-9bd3-fc403f47629f · outbound

This paper cites Nature Communica- tions 15(1):654.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model Nature Communica- tions 15(1):654

Reference 7

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Observation bbe0c6c1-d215-450a-962f-2b480f6eccbf · outbound

This paper cites In: Medical Image Segmentation Challenge.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model In: Medical Image Segmentation Challenge

Reference 8

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verified exact
doi, observed 2026-08-06T15:47:42.263838Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 42980cb2-846a-4da3-89db-ca530d4890fb · outbound

This paper cites In: Annual Conference on Medical Image Understand- ing and Analysis, Springer, pp 187–201, https://doi.org/10.1007/978-3-031-66958-3 14.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model In: Annual Conference on Medical Image Understand- ing and Analysis, Springer, pp 187–201, https://doi.org/10.1007/978-3-031-66958-3 14

Reference 9

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verified exact
doi, observed 2026-08-06T15:47:42.252643Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c8d4ba7f-63f3-4f14-8f32-7d2c8306ca0f · outbound

This paper cites Electronics 12(12):2730.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model Electronics 12(12):2730

Reference 10

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verified exact
doi, observed 2026-08-06T15:47:42.242354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d827d296-f814-4c6f-a753-424f07f03f81 · outbound

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

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

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Unavailable: canonical work link unavailable.

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Observation 15c5014d-caf0-46e4-b03f-550f627191c6 · outbound

This paper cites Engineering Applications of Artificial Intelligence 126:106669.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model Engineering Applications of Artificial Intelligence 126:106669

Reference 12

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Observation 47a7cf75-ee5e-4032-bffa-08739de83731 · outbound

This paper cites SegViT: Semantic Segmentation with Plain Vision Transformers.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model SegViT: Semantic Segmentation with Plain Vision Transformers

Reference 13

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Observation 1133b1b6-3a86-48fd-92e3-213d7d373f78 · outbound

This paper cites International Journal of Computer Vision 132(4):1126–1147.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model International Journal of Computer Vision 132(4):1126–1147

Reference 14

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verified exact
doi, observed 2026-08-06T15:47:42.207816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7f5f4971-28c1-4a93-a532-7265977a5b44 · outbound

This paper cites Fast Segment Anything.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model Fast Segment Anything

Reference 15

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Unavailable: canonical work link unavailable.

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Observation 06b89140-0f33-4118-94a9-95334c4ac2fc · outbound

This paper cites an unresolved cited work.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model Unresolved cited work

Reference 16

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a3328406-3b5f-4403-8d93-13634589e083 · outbound

This paper cites In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp 10062–10071, https://doi.org/10.1109/CVPR52729.2023.00970.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp 10062–10071, https://doi.org/10.1109/CVPR52729.2023.00970

Reference 17

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Unavailable: canonical work link unavailable.

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Observation 4e3a7381-3d27-4691-9dbc-0251348077a3 · outbound

This paper cites mesh-based multi-objective deformable image registration.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model mesh-based multi-objective deformable image registration

Reference 18

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verified exact
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 98f83ec7-7681-4b15-8039-0a517732873f · outbound

This paper cites IEEE Transactions on pat- tern analysis and machine intelligence (6):679–698.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model IEEE Transactions on pat- tern analysis and machine intelligence (6):679–698

Reference 19

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Observation 01d21c2c-e304-4ee4-aeba-a44c13877b2a · outbound

This paper cites Faster Segment Anything: Towards Lightweight SAM for Mobile Applications.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model Faster Segment Anything: Towards Lightweight SAM for Mobile Applications

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e7c45d1d-5a6d-4c1e-a2e0-ebc7db65f343 · outbound

This paper cites MobileSAMv2: Faster Segment Anything to Everything.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model MobileSAMv2: Faster Segment Anything to Everything

Reference 21

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Observation 0a910371-b8ce-4e05-b908-4ccce8c8f31c · outbound

This paper cites In: 2024 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR), pp 16111–16121, https://doi.org/10.1109/ CVPR52733.2024.01525 18.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model In: 2024 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR), pp 16111–16121, https://doi.org/10.1109/ CVPR52733.2024.01525 18

Reference 22

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Observation 9a8a1e5f-2369-4066-acee-7c1bcfca6171 · outbound

This paper cites In: Pro- ceedings of the 37th International Conference on Neural Information Processing Systems.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model In: Pro- ceedings of the 37th International Conference on Neural Information Processing Systems

Reference 23

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Unavailable: canonical work link unavailable.

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Observation f392def0-4f7c-4726-922d-32e1864c6361 · outbound

This paper cites Segment Anything without Supervision.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model Segment Anything without Supervision

Reference 25

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local_arxiv, observed 2026-08-06T15:47:42.129541Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a6222e2b-aa18-4c77-a455-793554488f13 · outbound

This paper cites In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), pp 9156–9165, https: //doi.org/10.1109/ICCV.2019.00925.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), pp 9156–9165, https: //doi.org/10.1109/ICCV.2019.00925

Reference 26

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 578ace32-fac7-44f6-8c0c-45739866ab42 · outbound

This paper cites Remote Sensing 13(18):3551.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model Remote Sensing 13(18):3551

Reference 27

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c1f728f2-cc18-4340-8465-e78e973ba47b · outbound

This paper cites Remote Sensing 12(5):829.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model Remote Sensing 12(5):829

Reference 28

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doi, observed 2026-08-06T15:47:42.111120Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 29437781-21fc-4a27-bdbe-393eba97ad52 · outbound

This paper cites Computers & Geosciences 178:105408.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model Computers & Geosciences 178:105408

Reference 29

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raw_fallback, observed 2026-08-06T15:47:42.585684Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8fffdc46-6c59-4375-b40b-88119bafba6b · outbound

This paper cites Com- puter Methods in Applied Mechanics and Engineering 299:337–365.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model Com- puter Methods in Applied Mechanics and Engineering 299:337–365

Reference 30

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raw_fallback, observed 2026-08-06T15:47:43.272192Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 30b12ef5-2012-4c3a-ad8e-442a8c767425 · outbound

This paper cites In: Proceedings of the ACM SIGGRAPH Symposium on High Performance Graphics.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model In: Proceedings of the ACM SIGGRAPH Symposium on High Performance Graphics

Reference 31

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raw_fallback, observed 2026-08-06T15:47:42.514467Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c6b722e1-aa91-4603-a0f6-44c4d752a424 · outbound

This paper cites Information Sciences 472:145–162.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model Information Sciences 472:145–162

Reference 32

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8a32952f-cf83-4e08-abdd-59cb2945c494 · outbound

This paper cites In: Computer Vision–ECCV 2014, Springer.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model In: Computer Vision–ECCV 2014, Springer

Reference 33

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Unavailable: canonical work link unavailable.

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Observation 6fcabb68-27f6-465a-a925-5e9368ae6d24 · outbound

This paper cites In: Navab N, Hornegger J, Wells WM, et al (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model In: Navab N, Hornegger J, Wells WM, et al (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015

Reference 34

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Observation 44c9189b-6c1e-4ad2-85ce-6e2ca1494e2a · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence 33(5):898–.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model IEEE Transactions on Pattern Analysis and Machine Intelligence 33(5):898–

Reference 35

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raw_fallback, observed 2026-08-06T15:47:43.261587Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation be1a86d1-b75d-43cb-96fa-5c12c95b800f · outbound

This paper cites a talk at the Stanford Artificial Project in 1968:271–272.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model a talk at the Stanford Artificial Project in 1968:271–272

Reference 36

Resolution
malformed identifier
no resolver link, observed 2026-08-06T15:47:42.009424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:47:42.009424Z digest=sha256:ac1b97f6aee8ddde37977446a5093af8d22e9f593bba71131dac90e824d3e27e

Observation ec7ff983-ea9e-42cb-9981-38532b3d8680 · outbound

This paper cites In: 2015 IEEE International Con- ference on Computer Vision (ICCV), pp 1395–1403, https://doi.org/10.1109/ICCV.2015.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model In: 2015 IEEE International Con- ference on Computer Vision (ICCV), pp 1395–1403, https://doi.org/10.1109/ICCV.2015

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T15:47:42.012885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:47:42.012885Z digest=sha256:172cd259fbae005c3f87fa073d77f972d14a71a06d337f04c332af1d5df21a8d

Observation b79a9a7e-c065-4a44-8656-d80eb007f4af · outbound

This paper cites In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp 1392– 1402, https://doi.org/10.1109/CVPR52688.2022.00146.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp 1392– 1402, https://doi.org/10.1109/CVPR52688.2022.00146

Reference 38

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-06T15:47:42.718341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T15:47:42.016030Z digest=sha256:bea43e816cde5d943aeb853c05973680d82d2dcc9880f4981ba4d8d74ea6211a

Observation bbf1065b-0ff7-43b0-b7e9-ec8257e8bd72 · outbound

This paper cites International journal of computer vision 59:167–181.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model International journal of computer vision 59:167–181

Reference 39

Resolution
malformed identifier
no resolver link, observed 2026-08-06T15:47:42.019400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:47:42.019400Z digest=sha256:2c3f4edb33bfddb4290c9dfd383c92211b565e9b5e989947f3f0a2c4d165e138

Observation 3515a9a9-44a6-47d7-8a28-d0c78fab24d3 · outbound

This paper cites International journal of computer vision 111:98–136.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model International journal of computer vision 111:98–136

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T15:47:42.022764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:47:42.022764Z digest=sha256:474a2d7506567aa5e8973e68e415ceafe594d95379b3fcb3024775cb476273f3

Observation a3c3dcd2-440f-4aa8-8bbe-38f61c684827 · outbound

This paper cites an unresolved cited work.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model Unresolved cited work

Reference 916

Resolution
unresolved
no resolver link, observed 2026-08-06T15:47:42.006153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:47:42.006153Z digest=sha256:4e6fdeb56a24e3ec23724fd965b6a7ef04132c00783af26939ae7e8f380621d3

Pith citing papers

No inbound Pith citation observations are available.