Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization | Paper Citation Record

Observation f3274e1f-e533-450c-81db-4e9e9a536120 · outbound

This paper cites International Journal of Computer Vision130(4), 947–969 (2022).

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization International Journal of Computer Vision130(4), 947–969 (2022)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:13.975151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81c00508-af4d-424c-9a9f-e5cc81963689 · outbound

This paper cites In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.911292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ebf14c16-f163-43ca-a2c1-22fe0d69075d · outbound

This paper cites International Conference on Learning Repre- sentations (2019).

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization International Conference on Learning Repre- sentations (2019)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.895838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9c0d462a-2401-47dc-86f0-e23d491d4641 · outbound

This paper cites Advances in neural information processing systems 35, 39090–39102 (2022) Prototype-based anomaly detection with optimal transport 15.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization Advances in neural information processing systems 35, 39090–39102 (2022) Prototype-based anomaly detection with optimal transport 15

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.881381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d31c1999-680b-4300-91bd-1b68921cbc48 · outbound

This paper cites Advances in neural information processing systems33, 9912–9924 (2020).

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization Advances in neural information processing systems33, 9912–9924 (2020)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:13.994506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62e54316-5f5d-4e2e-a389-b3ff3a256d24 · outbound

This paper cites Sub-Image Anomaly Detection with Deep Pyramid Correspondences.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:13.999155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 634b0c3a-754d-4df5-82d6-96d117472174 · outbound

This paper cites an unresolved cited work.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.004917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1893c0bc-eb37-4c20-ac21-b17caccb86ea · outbound

This paper cites In: Advances in Neural Information Processing Systems.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: Advances in Neural Information Processing Systems

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.847795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3275a4c3-7326-4c90-958b-65eac3768ee8 · outbound

This paper cites In: Proceedings of the European conference on computer vision (ECCV).

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: Proceedings of the European conference on computer vision (ECCV)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.832672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d78007ea-d1a7-4ec5-8439-35ddba1b97f6 · outbound

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

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.817991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 58e2e1ca-f3c7-4923-9c78-f70c87054969 · outbound

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

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: Proceedings of the IEEE/CVF interna- tional conference on computer vision

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.025265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f519d8a0-f251-41a6-b5f4-3227d2add14c · outbound

This paper cites Communications of the ACM 63(11), 139–144 (2020).

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization Communications of the ACM 63(11), 139–144 (2020)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.029841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a277b25-f9ef-4b24-9f1f-03fbfb067203 · outbound

This paper cites In: Pro- ceedings of the IEEE/CVF International Conference on Computer Vision.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: Pro- ceedings of the IEEE/CVF International Conference on Computer Vision

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.784486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ec41eafa-3634-4c4c-b8ca-daacf255f372 · outbound

This paper cites an unresolved cited work.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.038906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2cb1b07-c7d7-43aa-b1bf-ec1260ebffd0 · outbound

This paper cites Advances in neural information processing systems33, 6840–6851 (2020).

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization Advances in neural information processing systems33, 6840–6851 (2020)

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.043179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfb76e88-fddd-4aa6-9685-14a9785e8002 · outbound

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

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: Proceedings of the ieee/cvf conference on computer vision and pattern recognition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.047510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3e79e5f-4b5e-4a86-9d83-e985fb433bff · outbound

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

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.743211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3fec44ec-b7f2-442b-949b-0897f5ed8129 · outbound

This paper cites ZegOT: Zero-shot Segmentation Through Optimal Transport of Text Prompts.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization ZegOT: Zero-shot Segmentation Through Optimal Transport of Text Prompts

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.064427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abd73644-0eb8-4e23-99d6-4f1d5b71c1ee · outbound

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

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.069049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 391d1933-66ee-4897-9221-e6d8bde52e14 · outbound

This paper cites Learning with Mixture of Prototypes for Out-of-Distribution Detection.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization Learning with Mixture of Prototypes for Out-of-Distribution Detection

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.073269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28b52ef8-d14b-4160-afcb-724fab0c0b46 · outbound

This paper cites Advances in Neural Information Processing Systems36, 17602–17622 (2023) 16 R.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization Advances in Neural Information Processing Systems36, 17602–17622 (2023) 16 R

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.719921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5a5a3242-b12e-4b44-8c21-f3cc1506abbb · outbound

This paper cites ArXiv e-prints (2018).

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization ArXiv e-prints (2018)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.705105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a2d4e600-a746-4b02-b592-fb81c36038c9 · outbound

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

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.690906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d3f2de27-2810-4158-810e-e2f86db53d2c · outbound

This paper cites In: International conference on machine learning.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: International conference on machine learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.092440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa3394cc-cfdd-4a31-8029-dc3a552b4d53 · outbound

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

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.096489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53de3f46-95f0-4be2-917f-5757408783f9 · outbound

This paper cites In: Proceedings of the 35th International Conference on Machine Learning.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: Proceedings of the 35th International Conference on Machine Learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.657692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0f3d4a78-5cb5-4e0d-998f-e230bf90a9a5 · outbound

This paper cites an unresolved cited work.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-15T17:22:14.642864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 84d870f6-603a-41f0-8c60-e453ab1baafe · outbound

This paper cites In: European Conference on Com- puter Vision.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: European Conference on Com- puter Vision

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.109443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd62d320-1421-4117-8747-486f4db347d2 · outbound

This paper cites IEEE Transactions on Industrial Informatics 19(7), 8072–8082 (2023).

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization IEEE Transactions on Industrial Informatics 19(7), 8072–8082 (2023)

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.113597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f3531de-d6b8-4989-b655-a243f63c0fe1 · outbound

This paper cites Ad- vances in neural information processing systems30 (2017).

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization Ad- vances in neural information processing systems30 (2017)

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.118075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c68cc9f-b5d8-4292-8511-354dc9d00de7 · outbound

This paper cites Machine learning 54, 45–66 (2004).

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization Machine learning 54, 45–66 (2004)

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.122340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5025743-3150-41d9-9350-cdc7f8cc3774 · outbound

This paper cites Advances in neural information processing systems35, 21792–21804 (2022).

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization Advances in neural information processing systems35, 21792–21804 (2022)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.599734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5cf9be92-0467-4f44-86e9-4f98551fc169 · outbound

This paper cites FastRef:Fast Prototype Refinement for Few-Shot Industrial Anomaly Detection.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization FastRef:Fast Prototype Refinement for Few-Shot Industrial Anomaly Detection

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.130790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c8b7ff4-c42a-48b8-86d7-7e7e36495072 · outbound

This paper cites Advances in neural information processing systems30 (2017).

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization Advances in neural information processing systems30 (2017)

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.136990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab9ff164-d12b-411c-a142-634a410fbbab · outbound

This paper cites In: Proceedings of the 36th International Conference on Machine Learning.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: Proceedings of the 36th International Conference on Machine Learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.575368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c00dc70a-b9ff-40da-87e3-dec6c9488f7b · outbound

This paper cites Advances in Neural Infor- mation Processing Systems35, 11800–11814 (2022).

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization Advances in Neural Infor- mation Processing Systems35, 11800–11814 (2022)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.560987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 53aa4b0a-7a43-4f3c-8e83-a8801ca33e4d · outbound

This paper cites Student-Teacher Feature Pyramid Matching for Anomaly Detection.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization Student-Teacher Feature Pyramid Matching for Anomaly Detection

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.150607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4ea4b99-7170-4e26-9a34-84a6fc08cf21 · outbound

This paper cites IEEE Transac- tions on Cybernetics54(5), 2720–2733 (2024).

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization IEEE Transac- tions on Cybernetics54(5), 2720–2733 (2024)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.545369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 442c68e5-ab73-4704-a0f0-7e9837d4d785 · outbound

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

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.528628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5c0f3b88-b253-4265-a36e-0380503e3e4c · outbound

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

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.514428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2a654734-e55f-41b9-a7c9-a6d2620432e7 · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: Proceedings of the AAAI conference on artificial intelligence

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.498514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 017a0aeb-6bf1-4e09-99ba-fefd60c2c88e · outbound

This paper cites In: European Conference on Computer Vision.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: European Conference on Computer Vision

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.482693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8031da30-bfe1-4563-8c76-13022fd89fcf · outbound

This paper cites In: Proceedings of the Asian conference on computer vision (2020).

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: Proceedings of the Asian conference on computer vision (2020)

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.467969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fabf0df1-dd14-45ba-8e62-a4dd4de7fc96 · outbound

This paper cites FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.183591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe4e704b-2296-4e0c-a12b-b425f6f37981 · outbound

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

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.188194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 483a1da3-d9cf-4254-83b8-e3c3e302fd95 · outbound

This paper cites Pattern Recognition112, 107706 (2021).

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization Pattern Recognition112, 107706 (2021)

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.443041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7f4f650b-4623-4511-beeb-b8e8602649b8 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Ap- plications of Computer Vision.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: Proceedings of the IEEE/CVF Winter Conference on Ap- plications of Computer Vision

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.427232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 162f7a58-1c06-4b29-ab1d-d77e136e1202 · outbound

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

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:14.202242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 660748db-c4ad-41ec-bb1c-2354feba01ce · outbound

This paper cites IEEE Transactions on Neural Net- works and Learning Systems (2024) 18 R.

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization IEEE Transactions on Neural Net- works and Learning Systems (2024) 18 R

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:14.401046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers