Paper Citation Record · LEDGER

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT

As of 13 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2411.18290.

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

pith.paper-citation-record.v1
2411.18290 v3

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:24:36.739118Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

34 of 34 outbound references displayed

verified exact0
verified fuzzy30
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c9e303f1-0799-4b6b-9e45-a1e19b52417a · outbound

This paper cites Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T11:24:36.852378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 394e7fd5-2cf6-42cc-b6b1-8dbb2aa0792f · outbound

This paper cites Biomedical Signal Processing and Control64, 102246 (2021) 2.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT Biomedical Signal Processing and Control64, 102246 (2021) 2

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.386835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1290aa17-e37a-4ce5-bf89-eadfe848e5bc · outbound

This paper cites In: ECCV.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT In: ECCV

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.365880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8f76624b-b2ac-4740-92fd-98e6de0b4e0f · outbound

This paper cites Neurocomputing394, 27–40 (2020) 2.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT Neurocomputing394, 27–40 (2020) 2

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.347336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 96912316-e623-46a1-b192-a4b294b72c1a · outbound

This paper cites Medical Image Analysis p.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT Medical Image Analysis p

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.330577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1e9b6e25-b457-424c-90c0-25e7b22e7f09 · outbound

This paper cites The Lancet394(10192), 64–80 (2019) 2.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT The Lancet394(10192), 64–80 (2019) 2

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.312899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 86aee17c-f042-4c5b-b652-391a0198ba19 · outbound

This paper cites The Lancet 387(10022), 1012–1024 (2016) 1 10 Z.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT The Lancet 387(10022), 1012–1024 (2016) 1 10 Z

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.297149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2c93d53b-ce77-4830-8bd2-2d3c12a6acca · outbound

This paper cites In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.282183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 294d5ec2-95cf-40f6-a21f-748a72817ff8 · outbound

This paper cites In: IEEE Winter Conference on Applications of Computer Vision.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT In: IEEE Winter Conference on Applications of Computer Vision

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.266351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 28f20346-bad1-4c68-9a00-ddc856044525 · outbound

This paper cites In: MICCAI.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT In: MICCAI

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.250343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c3063927-9cf5-41be-9859-4ea4f6e8f5a1 · outbound

This paper cites In: MICCAI.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT In: MICCAI

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.233564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b86b5f1e-68f2-4faa-945a-aca3179a865d · outbound

This paper cites In: MICCAI.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT In: MICCAI

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.214836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 193edd64-da37-4cce-ad75-8a648b94e874 · outbound

This paper cites In: MICCAI.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT In: MICCAI

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.196430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7b6b78a2-e85a-4e35-82d9-1badc4bab422 · outbound

This paper cites In: MICCAI.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT In: MICCAI

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.177762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 35349a18-316d-476d-abdc-5cad746df1c2 · outbound

This paper cites STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T11:24:36.632405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43e925ea-9474-4750-ac01-6f7b5b4eb316 · outbound

This paper cites In: MICCAI.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT In: MICCAI

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.159491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bfec49f6-d527-40a7-9eba-73849c75d4cf · outbound

This paper cites Oral Oncology110, 104862 (2020) 2.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT Oral Oncology110, 104862 (2020) 2

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.141963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6bae28ff-e781-4998-83e9-ebcfd2a2db32 · outbound

This paper cites Radiotherapy and Oncology126(1), 25–36 (2018) 6.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT Radiotherapy and Oncology126(1), 25–36 (2018) 6

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.119371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7a26de83-940e-474e-bc62-37d0e62b75d9 · outbound

This paper cites In: MICCAI.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT In: MICCAI

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.102753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 16e44784-2bc9-4e5b-a467-43432db78bd5 · outbound

This paper cites Technology in cancer research & treatment18, 153–160 (2019) 2.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT Technology in cancer research & treatment18, 153–160 (2019) 2

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.084410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 40a82128-16be-417b-90f8-ca7f186398b8 · outbound

This paper cites IEEE Transactions on Medical Imaging41(7), 1639–1650 (2022) 2.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT IEEE Transactions on Medical Imaging41(7), 1639–1650 (2022) 2

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.066387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7cfeeb0a-7553-4cd2-a39f-9fa0d72f1879 · outbound

This paper cites International Journal of Radiation Oncology* Biology* Physics113(4), 893–902 (2022) 2.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT International Journal of Radiation Oncology* Biology* Physics113(4), 893–902 (2022) 2

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.049163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3332b2d1-31bf-45c6-b111-4e9c63f0bf8e · outbound

This paper cites Magnetic resonance imaging64, 190–199 (2019) 2.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT Magnetic resonance imaging64, 190–199 (2019) 2

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.031966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7d20a81d-6e77-41b9-91ef-7beac2909a29 · outbound

This paper cites In: MICCAI.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT In: MICCAI

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:37.013842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7b31a622-8ce1-4c5f-9f94-6f6001df4e37 · outbound

This paper cites In: MICCAI.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT In: MICCAI

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:36.994686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d7220738-294b-4345-b725-60c5f7a70ece · outbound

This paper cites Radiotherapy and Oncology p.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT Radiotherapy and Oncology p

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:36.977194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 390635fa-93c8-4ad8-8bbc-f637bb670bf1 · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T11:24:36.698523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36c53ead-7ddb-4115-8484-7e153f2e4a6d · outbound

This paper cites Physics in Medicine & Biology64(2), 025005 (2019) 2.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT Physics in Medicine & Biology64(2), 025005 (2019) 2

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:36.960982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0604c071-8e95-486d-ab48-15bbee18ff4a · outbound

This paper cites Neurocomputing438, 211–222 (2021) 2.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT Neurocomputing438, 211–222 (2021) 2

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:36.943523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a30faca1-dba2-45d9-aa7e-fb786cacf6df · outbound

This paper cites Frontiers in oncology7, 315 (2017) 2.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT Frontiers in oncology7, 315 (2017) 2

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:36.924200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5bd9a5ed-5e14-4545-bad7-a7bc8e8ca525 · outbound

This paper cites American Journal of Roentgenology198(1), 11–18 (2012) 2.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT American Journal of Roentgenology198(1), 11–18 (2012) 2

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:36.906536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cee711f1-c16f-4c12-aec8-2212b6f1dbf8 · outbound

This paper cites In: MICCAI.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT In: MICCAI

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:36.888605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c27f49b4-5cf4-43ba-b604-16464b7a1edb · outbound

This paper cites SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T11:24:36.733189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2ffae1b-f52e-4550-8b3a-a838638d490e · outbound

This paper cites IEEE Transactions on Medical Imaging 42(9), 2751–2762 (2023) 2.

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT IEEE Transactions on Medical Imaging 42(9), 2751–2762 (2023) 2

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:24:36.870338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.