Pith. sign in

Paper Citation Record · LEDGER

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation

As of 8 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.06606.

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

pith.paper-citation-record.v1
2507.06606 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:02:36.177251Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c268555-e3e9-4f14-81aa-226cfc1ccc9b · outbound

This paper cites Applied Spectroscopy Reviews59(7), 935–958 (2024).

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation Applied Spectroscopy Reviews59(7), 935–958 (2024)

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:02:36.634381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.025197Z digest=sha256:5a17636460a890b8c346185431e66f404a98b23c0373ac033cc74ee2f9449453

Observation 10821302-9fd8-48cb-803e-b3b1727f7a1e · outbound

This paper cites In: Proceedings of Medical Image Computing and Computer-Assisted Intervention.

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation In: Proceedings of Medical Image Computing and Computer-Assisted Intervention

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:02:36.619554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.031462Z digest=sha256:f18f68b86d81404f86d13c267e29367118b70cfa0e64ab5e298104cf254ce293

Observation a4c4308c-e9fd-4a82-aecd-07f8ba0442bb · outbound

This paper cites an unresolved cited work.

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:02:36.605127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.036965Z digest=sha256:40c417544f097e866facfcd2a9de5379aee082fdadd491ff269e384fd251bb50

Observation 7bd98f0d-a732-4554-8a7a-6ce3418291e6 · outbound

This paper cites an unresolved cited work.

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:02:36.588792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.043543Z digest=sha256:c37f3f4432d87acf94a87cdefe7a4401cc40fa7690f90cb9c53ce81f3d439cc5

Observation 04600184-6655-4d6f-9067-dd706a39e3e4 · outbound

This paper cites In: Proceedings of Medical Image Computing and Computer-Assisted Intervention.

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation In: Proceedings of Medical Image Computing and Computer-Assisted Intervention

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:02:36.570942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.050294Z digest=sha256:b7cbe5089dd9bf9ad8c6d50c66cdb8f26d92ad39f2c3a4c974814c901d85a1fe

Observation 4768a3e5-e87f-44f4-bee2-96552390ec92 · outbound

This paper cites In: Proceedings of Medical Image Computing and Computer-Assisted Intervention.

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation In: Proceedings of Medical Image Computing and Computer-Assisted Intervention

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:02:36.553184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.056146Z digest=sha256:a3b9d1fe3f7fb934ebc48fb793c177d36f92fd343ffc6befd84727dd9497f1be

Observation 88772be3-a4d4-422e-9d92-339940e7cd6d · outbound

This paper cites Advances in Neural Information Processing Systems 33, 21271–21284 (2020).

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation Advances in Neural Information Processing Systems 33, 21271–21284 (2020)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:02:36.534074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.062563Z digest=sha256:b06a217c8b06df88f8f18a4696864c5cfd6851a2e82b1d552696713bea9afaaf

Observation b674f9d9-19c4-407e-abf5-449b48d2ec30 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing60, 1–15 (2021).

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation IEEE Transactions on Geoscience and Remote Sensing60, 1–15 (2021)

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:02:36.518386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.068630Z digest=sha256:e8ea8e6e58bd58770038082034794196a59475c90493c78a2113b0e29b128804

Observation 078aa84e-6b59-4ee1-9ed0-75390904c22f · outbound

This paper cites Nature Methods 18(2), 203–211 (2021).

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation Nature Methods 18(2), 203–211 (2021)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:02:36.500574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.073803Z digest=sha256:e5fd0f0c62c9a020cc2f33edeb07e69da2d2c8a159caa6e670231f502687384b

Observation 3187ed40-5b25-4e5a-919e-c88fe7f55555 · outbound

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

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T19:02:36.079061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:02:36.079061Z digest=sha256:4761b660dedf279de9253027a63e2e47163c0354fc7f060e357ef399f39630eb

Observation f0686b32-8ad0-4acf-a7e4-8ce2478b2979 · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems34(10), 8057–8070 (2022).

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation IEEE Transactions on Neural Networks and Learning Systems34(10), 8057–8070 (2022)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:02:36.468987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.084815Z digest=sha256:49387500e623445c09ef5c809af2c90fe1a6ab05997c5498a6cc0dafa11939ec

Observation 7f83598e-9b14-47ef-abcd-10b051b6e573 · outbound

This paper cites In: ICASSP 2025- 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation In: ICASSP 2025- 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:02:36.452696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.089726Z digest=sha256:661be1d907eb93e0e22f01bb618b403e0a202ad96f5cd44da7c8f60e312e978c

Observation cf544a3c-4a38-4eb4-b908-616d59dcd452 · outbound

This paper cites an unresolved cited work.

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:02:36.434123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.095134Z digest=sha256:16b05b3fce91482a2540e826941aa1d3f1e3a68a6cc0645dc7c1f907a00756d4

Observation a81e4a56-af7a-42b3-9a03-1f74e0cf6431 · outbound

This paper cites an unresolved cited work.

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T19:02:36.102657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:02:36.102657Z digest=sha256:91648347d7933369033897fdd6903fe1f93f627ef1ed853c96a84b5902fafd1d

Observation ef529d0d-cf6b-4623-a889-ed725d16184e · outbound

This paper cites VM-UNet: Vision Mamba UNet for Medical Image Segmentation.

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T19:02:36.108306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:02:36.108306Z digest=sha256:b5201071da956fa384c94ae54f613630f88c63c3036404c255b0d4a02a8026fb

Observation e88be3c6-175a-447d-860b-41d937861ab3 · outbound

This paper cites IEEE Transactions on Circuits and Systems for Video Technology (2024).

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation IEEE Transactions on Circuits and Systems for Video Technology (2024)

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:02:36.403253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.118516Z digest=sha256:f0cb1b420d8196040b1f91110557066244b081e39c515a8f71cbf5b5065b5db1

Observation 163f1263-e9bd-4cd4-95a7-f619f05df817 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:02:36.387057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.126728Z digest=sha256:b182ae2fbcf2df025d122d37d2bbf0598ff76c1056b348a8fa8efb02eea524dd

Observation 672e058b-e216-491b-83c2-e69ebf38da2d · outbound

This paper cites IEEE Transactions on Medical Imaging40(1), 218–227 (2021).

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation IEEE Transactions on Medical Imaging40(1), 218–227 (2021)

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:02:36.371907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.131256Z digest=sha256:36aa54a162597a70cbdbb0de9ec4de665f3377e8ae594ce2e28822cd890958ad

Observation 5ae011c8-1cec-4304-a15e-8dc489edb02b · outbound

This paper cites In: Proceedings of the 31st ACM International Conference on Multimedia.

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation In: Proceedings of the 31st ACM International Conference on Multimedia

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:02:36.353031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.137844Z digest=sha256:74b2cbf55c01066a17b6f0174be5910af985c379d446ba5200be1878fa5b7848

Observation 3e601b26-753a-46f4-8a7d-25f003a8e1f3 · outbound

This paper cites In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:02:36.332326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.143009Z digest=sha256:26ee3fc223b4ed8782f645e1897d9f14a099a9bc26db68dfd9db3787a072f94d

Observation 3e5ddbba-9fef-4588-90d8-8b49f8a6990a · outbound

This paper cites IEEE Transactions on Circuits and Systems for Video Technology (2023).

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation IEEE Transactions on Circuits and Systems for Video Technology (2023)

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:02:36.315146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.148434Z digest=sha256:65ed5dc6b2123c864034d42aa4f326bf9f85fb62b7e4001b275a51161a0f6b0b

Observation fbff67b9-870f-4f31-9e5b-0b917ab42f7e · outbound

This paper cites In: Proceedings of Medical Image Computing and Computer-Assisted Intervention.

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation In: Proceedings of Medical Image Computing and Computer-Assisted Intervention

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:02:36.295742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.155381Z digest=sha256:384604001e4b2cbfcb664c24d6c102d09db7ab581623e368f49d4037d0bf0713

Observation e080452d-882f-4b2a-90e1-320c5783fa3f · outbound

This paper cites Remote Sensing15(12), 2990 (2023).

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation Remote Sensing15(12), 2990 (2023)

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:02:36.275527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.163451Z digest=sha256:32793e3878c7189365c4550f696a4cc21adb1c9cf1fbe7d2ec92d4abd1b4e7b4

Observation a49a2eb0-8bba-419d-bf04-5aece094a088 · outbound

This paper cites IEEE Access7, 149414–149421 (2019).

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation IEEE Access7, 149414–149421 (2019)

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:02:36.248189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:02:36.177251Z digest=sha256:a365a5f662b2106ebf0d9101d61eb2fb93cdfb4b78ebe51e005806e8935aed97

Pith citing papers

No inbound Pith citation observations are available.