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Paper Citation Record · LEDGER

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection

As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2509.07507.

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

pith.paper-citation-record.v1
2509.07507 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:14:13.953485Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 86c27151-58f1-4389-9fa4-631d04752c6c · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection nuscenes: A multi- modal dataset for autonomous driving

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-04T22:14:16.811400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:12.363481Z digest=sha256:35727c9729ef0a3506ea84e8b3ae8272168123b0d4f6227729a55c75dfade8e7

Observation 14ea457c-fd74-4928-99dd-1c978c0ae8c4 · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection A density-based algorithm for discovering clusters in large spatial databases with noise

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-04T22:14:16.687212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:12.432620Z digest=sha256:582752b3b2c68a47edbdac901f77409b020283eb04aa38c8e44111bc047fe97c

Observation 189ba0dd-67ce-4629-892e-e2b1b0e6bd51 · outbound

This paper cites Leveraging imagery data with spatial point prior for weakly semi-supervised 3d object detection.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection Leveraging imagery data with spatial point prior for weakly semi-supervised 3d object detection

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-04T22:14:16.515904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:12.513181Z digest=sha256:60f2ae76f85ede83644ff7a204652b96972220ff032442eafbea9d86cb5f1429

Observation 59842519-db72-4c91-b1fc-809743a412be · outbound

This paper cites Weakly supervised 3d object detection via multi-level vi- sual guidance.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection Weakly supervised 3d object detection via multi-level vi- sual guidance

Reference 4

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raw_fallback, observed 2026-08-04T22:14:16.382624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:12.593593Z digest=sha256:ce98969b5843ad07c985b91e2c9d44bb6ec964cfd04eda174d86496a89097158

Observation a1da9d19-1210-4877-a4c9-b6aafe6db097 · outbound

This paper cites Alpi: Auto-labeller with proxy injection for 3d object detection using 2d labels only.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection Alpi: Auto-labeller with proxy injection for 3d object detection using 2d labels only

Reference 5

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raw_fallback, observed 2026-08-04T22:14:16.249305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:12.659527Z digest=sha256:2a036afd295ce0ce28d8e13da7a98bf92e4664827b0e792d11f946ed1531ed73

Observation a34a778d-ad1e-4967-9de0-753d88ae9817 · outbound

This paper cites Lam, Siew-Chong Tan, and Ngai Wong.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection Lam, Siew-Chong Tan, and Ngai Wong

Reference 6

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raw_fallback, observed 2026-08-04T22:14:16.129612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:12.749091Z digest=sha256:42f9ef9f6c73aabba0eb92ee0fc22146422cfe460639fdd83475ba1a4f251fca

Observation d7995d94-9cd7-4253-b494-0ea205f0d464 · outbound

This paper cites Lam, Siew-Chong Tan, and Ngai Wong.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection Lam, Siew-Chong Tan, and Ngai Wong

Reference 7

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raw_fallback, observed 2026-08-04T22:14:15.985604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:12.824953Z digest=sha256:4d1032139c1bd0a449add56d7d8675cbcd504ecda066cce46c981306552c0eb9

Observation f67e5033-bb2d-4120-a3fa-0446f84a0393 · outbound

This paper cites Principal components analysis (pca).

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection Principal components analysis (pca)

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:12.904525Z digest=sha256:1c7a8552a7209a08dbbf339e8801d70f92d97abc34ee528bca12cb1251d09747

Observation 1a7584be-580b-42c6-8c6a-326d42c61926 · outbound

This paper cites Towards a weakly supervised framework for 3d point cloud object detection and annotation.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection Towards a weakly supervised framework for 3d point cloud object detection and annotation

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:12.991689Z digest=sha256:212f493aec853b9c0e37621b14efdfefb98c410e9f2fec508282a6994619623e

Observation f89a88bf-636a-4359-b504-bcbc60ce4a45 · outbound

This paper cites Extreme clicking for efficient object anno- tation.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection Extreme clicking for efficient object anno- tation

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:13.066448Z digest=sha256:9b45cee1b1248bc967ad4d171ecdbedd2233562f527b8fa43ce54e7c7cd6d534

Observation 1fcbc134-ccb4-467d-958d-6f09ea4911f0 · outbound

This paper cites Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:14:13.139572Z digest=sha256:d0beccfab494f71dc2c335068676a6091404f2c062576427f9b1eaa01f4b1df4

Observation ed5eafe8-c151-413d-b4b9-80c233e79141 · outbound

This paper cites Lam, and Ngai Wong.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection Lam, and Ngai Wong

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:14:15.516848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:13.183969Z digest=sha256:875ecb9f0cea6caebfdd622bfbe3f3a4c46b5ce99ec14eb583895d002716fa87

Observation 5d2023aa-1c06-4e26-98d5-423b27ceaddf · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection SAM 2: Segment Anything in Images and Videos

Reference 13

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unresolved
no resolver link, observed 2026-08-04T22:14:13.287124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:14:13.287124Z digest=sha256:ecf14c570fc56f5107fb985b787223b50a93d409b130d86f558965c4e93d2d26

Observation de89ad97-436e-4dd8-97bf-cf1a224ede58 · outbound

This paper cites Pv-rcnn: Point-voxel feature set abstraction for 3d object detection.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection Pv-rcnn: Point-voxel feature set abstraction for 3d object detection

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-04T22:14:15.368148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:13.355000Z digest=sha256:a6c81205045628c615ca969f5887c06d22fc459fa0a8c8e70a93d611a10eef03

Observation 4dea4500-fbd2-4aad-a643-02fd3cf8fe29 · outbound

This paper cites Sun rgb-d: A rgb-d scene understanding benchmark suite.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection Sun rgb-d: A rgb-d scene understanding benchmark suite

Reference 15

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raw_fallback, observed 2026-08-04T22:14:15.258218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:13.425674Z digest=sha256:2e769b44b409389037619eec628ce7ebde57f874b0ff6a48aabddd95bd22eaf4

Observation 8f81d221-46bf-4dda-9721-d441dea7d6ab · outbound

This paper cites Semi-supervised 3d object detection via temporal graph neural networks.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection Semi-supervised 3d object detection via temporal graph neural networks

Reference 16

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raw_fallback, observed 2026-08-04T22:14:15.132231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:13.488934Z digest=sha256:bbf89703c1066a3c50b6a4512b3d9d5e9f37d075492fc03cae08e6ecaadda24d

Observation 60e3ff47-6948-464f-8715-e436fca26087 · outbound

This paper cites Exploring object-centric temporal modeling for efficient multi-view 3d object detection.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection Exploring object-centric temporal modeling for efficient multi-view 3d object detection

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:13.555633Z digest=sha256:a9e43194af0ce85f43feefb5ea4ef68832d2f1dc87fa13678d7a5cd7934bd95b

Observation e935f6af-7a2c-414d-8a7a-1edbb5ab0e01 · outbound

This paper cites Fgr: Frustum- aware geometric reasoning for weakly supervised 3d vehi- cle detection.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection Fgr: Frustum- aware geometric reasoning for weakly supervised 3d vehi- cle detection

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:13.647847Z digest=sha256:dcf489dfb8f6adf5a841172cfe0298cbb1197d8f9c7d1fa4b40eb70b2ece6e1f

Observation 25ba7e43-b8d4-4067-99f0-e90723d47b2a · outbound

This paper cites Gal: Graph-induced adaptive learning for weakly super- vised 3d object detection.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection Gal: Graph-induced adaptive learning for weakly super- vised 3d object detection

Reference 19

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raw_fallback, observed 2026-08-04T22:14:14.714075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:13.738372Z digest=sha256:3b55b50147d75b54e1e6fba58990217a24bd6b36f8fe0032b65917dc55fdf0ab

Observation afebacda-a77b-412b-86b8-905cc117abf4 · outbound

This paper cites Center- based 3d object detection and tracking.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection Center- based 3d object detection and tracking

Reference 20

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raw_fallback, observed 2026-08-04T22:14:14.586840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:13.780209Z digest=sha256:c229781e42858069f5cb2d9108c762d029adf266d79a0720d6a9165492e2caca

Observation 1e7f55d1-a42b-4d6f-8171-7da8ceb6d57e · outbound

This paper cites A sim- ple vision transformer for weakly semi-supervised 3d object detection.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection A sim- ple vision transformer for weakly semi-supervised 3d object detection

Reference 21

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raw_fallback, observed 2026-08-04T22:14:14.472942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:13.849807Z digest=sha256:cce5ab2a174956be6e0b6313cdcd430c792776418807f8ba73d008ca368ad2ee

Observation e8353169-c17c-44a5-8f0b-600dd9435e07 · outbound

This paper cites General geometry-aware weakly 9 supervised 3d object detection.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection General geometry-aware weakly 9 supervised 3d object detection

Reference 22

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raw_fallback, observed 2026-08-04T22:14:14.316135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:13.903770Z digest=sha256:4a52f61b2b97a7b3bd5b52a0eb8d2082ab8302dbcef9badafa16e464263b07b0

Observation 273c5fbc-4d29-46de-9d74-47aade99b25f · outbound

This paper cites Temporal enhanced training of multi-view 3d object detector via historical object prediction.

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection Temporal enhanced training of multi-view 3d object detector via historical object prediction

Reference 23

Resolution
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raw_fallback, observed 2026-08-04T22:14:14.155276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:14:13.953485Z digest=sha256:3ab31ff5b7b7da0b10ccbc2df0f77e3825184466cb98c8aa18e52796727577b5

Pith citing papers

No inbound Pith citation observations are available.