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Paper Citation Record · LEDGER

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation

As of 10 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2606.20140.

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

pith.paper-citation-record.v1
2606.20140 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T10:45:35.568212Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

51 of 51 outbound references displayed

  • verified exact5
  • verified fuzzy39
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d635651b-e7d8-438a-9dc2-40574ee76107 · outbound

This paper cites In: Computer Vision– ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XIV 16.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Computer Vision– ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XIV 16

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 24b6c561-6235-47bf-bebb-8cba59ea1ddf · outbound

This paper cites In: European conference on computer vision.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: European conference on computer vision

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T13:06:15.657642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 46758175-4b06-49e8-a5a7-1e1fe1319b2f · outbound

This paper cites Mask2Former for Video Instance Segmentation.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation Mask2Former for Video Instance Segmentation

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T10:54:37.012591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 6afe94e9-bf93-43f8-abab-c84804589974 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (June 2020).

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (June 2020)

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:6e6ab67bdc38655d8d4df33aba6b468ea127e8b402b08283dda557db00d99ed1

Observation aa478d70-ceb0-432f-97f0-cc53704997f7 · outbound

This paper cites an unresolved cited work.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation Unresolved cited work

Reference 5

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8ccef650-8855-4126-98c1-c585a17e3b60 · outbound

This paper cites an unresolved cited work.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation Unresolved cited work

Reference 6

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 6c4ccc24-7a33-43dd-bc07-2fdfead4b65b · outbound

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

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T13:06:15.653465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8c4abee5-1de5-4603-b957-acb54612cb64 · outbound

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

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 510c1fa1-d04c-4b93-9bd3-fca38afddb09 · outbound

This paper cites IEEE Transactions on Circuits and Systems for Video Technology pp.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation IEEE Transactions on Circuits and Systems for Video Technology pp

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-30T10:54:35.914385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 6157e3a2-43a6-4b85-af3c-f71339a031c6 · outbound

This paper cites an unresolved cited work.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation de4e9e78-4fa4-48ae-a4f1-b21fe7af54a4 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b5327cb4-ac73-4129-b33e-1e403e0b889e · outbound

This paper cites In: Proceedings of the IEEE International Conference on Computer Vision.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the IEEE International Conference on Computer Vision

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.871539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:c22f577ed795254968eaf72bb117b1a65fb635cc99fa5a8f71438d7b1f4ae83a

Observation a206314a-9377-40d6-ab40-6854c0154d7d · outbound

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

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.884115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:d5883c7d1c49f1d76bbf74aecfdfa53495e7b05e90d8aca49ff83126bb3748e1

Observation 5c75a7ed-b8fb-414a-bc0b-7640f0e530e1 · outbound

This paper cites GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-30T10:54:37.007153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:a125ee93db36ab6c64ac105d4d12cf54b94b379d5635f10cd3147433e7da6b9e

Observation 7a0a48c4-8bba-4c3b-b93d-381d805b6c8a · outbound

This paper cites Advances in Neural Information Processing Systems35, 19370–19383 (2022).

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation Advances in Neural Information Processing Systems35, 19370–19383 (2022)

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f0c658c6-ce50-4114-8ce3-58c6366635e4 · outbound

This paper cites In: Proceedings of the IEEE International Conference on Computer Vision (ICCV) (Oct 2017).

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the IEEE International Conference on Computer Vision (ICCV) (Oct 2017)

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 67b2f85c-8f9f-42ac-8392-e4ce07f8b9b9 · outbound

This paper cites In: Pro- ceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (June 2016).

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Pro- ceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (June 2016)

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.879408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a1abb3f3-9892-4156-8e39-106134deebff · outbound

This paper cites In: CVPR (2023).

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: CVPR (2023)

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 987c8db0-9371-48d1-87b3-2c72c28a5c79 · outbound

This paper cites In: Advances in Neural Information Processing Systems (2022) 10.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Advances in Neural Information Processing Systems (2022) 10

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 55a089d4-2887-433e-8b3c-84366a182e58 · outbound

This paper cites an unresolved cited work.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation Unresolved cited work

Reference 20

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 809811f1-0c7e-4096-bbcc-bf9b01063c23 · outbound

This paper cites Advances in Neural Information Processing Systems34, 13352– 13363 (2021).

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation Advances in Neural Information Processing Systems34, 13352– 13363 (2021)

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.867675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 00981fe2-07e2-466f-b852-1713430f29b7 · outbound

This paper cites In: Computer Vision – ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part IV (2023).

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Computer Vision – ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part IV (2023)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.871205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:6519ee2cc197575e24ab02f1a0026b10587210686cd351b9483013330348c61b

Observation 24272057-f678-4764-aab9-4fcd589370ab · outbound

This paper cites In: Proceedings of the IEEE International Conference on Computer Vision.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the IEEE International Conference on Computer Vision

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 22bf91ff-7caa-458a-91d4-d877652c848a · outbound

This paper cites In: CVPR (2023).

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: CVPR (2023)

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.880929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:608582b889bc0c23a38561f6543eff765b0b778a100e6de17899d70e7d8d8d88

Observation ae686b2b-ebfa-4041-9d70-f74cca7f5dd0 · outbound

This paper cites InstanceFormer: An Online Video Instance Segmentation Framework.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation InstanceFormer: An Online Video Instance Segmentation Framework

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-30T10:54:37.009864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 1002d36c-92d8-40f6-9a92-4567cea7289d · outbound

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

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.876129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f551c391-3b5f-4749-9c39-04c00a70db53 · outbound

This paper cites In: Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T13:06:15.672426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8b4c5020-46d3-4a67-8e23-6284839bf648 · outbound

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

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.857764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5c85c876-f3be-4df3-8688-0a79e55fef9b · outbound

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

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.859617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8af24e73-a2cc-46df-baf6-f343f9186ecd · outbound

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

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.861496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ff5ff4e8-27a0-4248-bb69-ef23ba645be6 · outbound

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

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.865939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d3c5a83a-0322-4c17-963a-2523008f6b6d · outbound

This paper cites In: Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.855795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:242b679cc2bdc9dd38b5d2b4b9ffceeec64a92e1e670ae19f45dc225a8f6fcd1

Observation 9ba9db2b-4476-43ba-955c-4ba7a40d4a72 · outbound

This paper cites an unresolved cited work.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-07-09T12:56:15.850076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:8b66f3992ab0f2edccafa3dc8ef5a6ffc68d0c47fd927c6e6318d784b88e19a1

Observation 47c5728b-6825-4bd0-a3f9-90a2271183a5 · outbound

This paper cites In: Com- puter Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part I 16.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Com- puter Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part I 16

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.852189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:f1ad737a9fd8431685a4a5f15fe831ae970752ebd946dc8669969d65ea9e9129

Observation 8f16f9a9-73cf-4456-b7c7-faa797adbb1d · outbound

This paper cites In: Guyon, I., Luxburg, U.V ., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Guyon, I., Luxburg, U.V ., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.848463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:a1a522a0fc56b87e1366188f577836e5ae456cbd9903a3afc266c3f1219bb637

Observation 4cf21fd7-fee6-4c50-b51e-3de69902dc76 · outbound

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

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (June 2019)

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.842743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:bf7f23becfe4b9fc5e527be20bddfab76d19f919bc8c40a6aaeb11326f8f9599

Observation 4b9f6f3b-d416-4c3c-b1c4-1272c3794278 · outbound

This paper cites In: Proc.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proc

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.840907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:eefdc99654a1a04a69260547b0e24ea5e5694a4e9e33c8252980a23d3f9ec779

Observation 0c96daad-b752-4c96-be50-94b5b6ca120a · outbound

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

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.844445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:780f485f1186519bc3a7947564019b045c850bd3a5674a4779d810e706bcc273

Observation 81a9070c-3436-4612-9e67-46db7805b261 · outbound

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

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.846376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:67177d2f216fdde267ca7d28caf20cf3c844b04ff33eba77fd58829593017765

Observation 60cd62b4-0ed1-4ee3-809e-7413d44307a2 · outbound

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

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.854057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:6f05958ae9a5b572cec51692d55a94c74d7413dbbf1a812fd340e56fad44c66c

Observation 552b16d1-2162-484e-813e-ce3396911b9f · outbound

This paper cites SeqFormer: Sequential Transformer for Video Instance Segmentation.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation SeqFormer: Sequential Transformer for Video Instance Segmentation

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-06-30T10:54:37.004244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:0b2dab1dcafb489615ca8c5e118796defdcad3d8fada6a9cd97b60cb2ab4bd04

Observation 3800e894-8e81-485d-894c-1905a5882cf1 · outbound

This paper cites In: ECCV (2022).

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: ECCV (2022)

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.863586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:28a3569524729e9040c438e47c74fb4e34c4ec75a1aeef1b66d64e6209ba6a0c

Observation ab5fca71-99d4-4d3d-97b5-47ae6a054238 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (October 2019).

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (October 2019)

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.837022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:fd840495b74a28d6d71f9efe27609c0392f1c7fc431725096e4b9cfc0809fbef

Observation d23c2078-e101-4515-be35-6b028d258337 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.835156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:32d5fa296d15495736eda7018574cd0ec489bd3ebe585a1c91dcca779038f3c2

Observation 3036d527-8df4-436b-a3e7-5acc6bf43770 · outbound

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

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.831251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:e41b56426ae4eebb1006b7daa168905f5099e420b783442863398236ce188c51

Observation 74440ff9-30fc-4d22-9c45-cab9a5ea6a10 · outbound

This paper cites Advances in Neural Information Processing Systems35, 36324–36336 (2022).

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation Advances in Neural Information Processing Systems35, 36324–36336 (2022)

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.833289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:3ef0af3ae57f25e29352089759402b9245ce2147d3008b79446d76741af5642d

Observation 2534968c-522d-4bba-aff7-bdbdb5496b37 · outbound

This paper cites an unresolved cited work.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-07-09T12:56:15.839005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:88dadf5f6c9aa12ee0d60c2a09851c497fbf5d7e5ca84f4d719b923366b9cd3d

Observation 51f39141-2824-4e44-8589-62be77a0d065 · outbound

This paper cites Robust Online Video Instance Segmentation with Track Queries.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation Robust Online Video Instance Segmentation with Track Queries

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-06-30T10:54:37.003234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:46a9a39ead3cdfc3e7c854ba81472a0894d70f2b87fbe53094a10d757b366f2c

Observation 3f25098c-fc88-469b-b06c-a5e9b7d5d3f7 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.827553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:638e6a761c1ca1cb66b407a4f73c4d8be6aa6d78e64c103baa5ba331c4f91631

Observation c79d1e83-9e48-4807-b819-af9c25b34e22 · outbound

This paper cites In: MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South Korea, January 5–8, 2020, Proceedings, Part I 26.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South Korea, January 5–8, 2020, Proceedings, Part I 26

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.829470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:55ce93dcff6c2a5c7db5da2a8de53e0c9d0900a9920c5bea1ec455b59757edb6

Observation e7221ae8-0177-448a-b783-a6ab00c0ad95 · outbound

This paper cites In: International Conference on Learning Representations (2021),https://openreview.net/forum?id=gZ9hCDWe6ke 12.

SA-VIS: Sparse frame Annotations for training Video Instance Segmentation In: International Conference on Learning Representations (2021),https://openreview.net/forum?id=gZ9hCDWe6ke 12

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T12:56:15.825994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:45:35.568212Z digest=sha256:c42fc958033903392d1599e4c8ecc44845fbdf6ddc95cf1396d51bd1bc285488

Pith citing papers

No inbound Pith citation observations are available.