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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:12.363481Z digest=sha256:bc237d299afc60ea9120472a12e5f4be9827abdc72b5635d40b70bcbbaeda5c3

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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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:12.432620Z digest=sha256:83189f9a08b0634a36f9ab186b26319d7370a198550f02c4827ec28703442081

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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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:12.513181Z digest=sha256:9cdb837fe7435cdc3829abb4e21deb97ea5d1eb9ab5dd2ff198a6eb706af0f44

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:12.593593Z digest=sha256:2ed53c8604eb2b2b3ed930dacc3e57958717b8b09b07a5431ee06e89434285e7

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:12.659527Z digest=sha256:798b6c49977c7777e0cfcb6951672650db7f658114053a4f5fd12e0a3b12aca8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:12.749091Z digest=sha256:30d3a63857f82e6e6a483b67c6280c7e0cc3f1a48a421fed81ea4392d1ea83c3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:12.824953Z digest=sha256:66e1c445fdd82b01f9b26a14df271cf68f6b8d2c9dad40fe2d6b00e37bce7181

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:12.904525Z digest=sha256:af8713bd3c11c1f333a79ad1be352d88515968f1978e1b6245a98d593451ac68

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:12.991689Z digest=sha256:2e5d7a8885c24689619804f5a546a10c55b553750a723a82d95e793f0c42cb53

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:13.066448Z digest=sha256:49c2399d795efceedd425ee3e088c79b132ce631daed2c4d32df482be9657bdd

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=sha256:8972b7f1baa40420f46accc8985f2fd009bb06862c3b752dd3eb6e77042a1398

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:13.183969Z digest=sha256:784a85d41cb26ff09af53cf189dd91cc54695e2260e3140311a03e3b137bfadf

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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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=sha256:342dda9958a73928f6dfb15cdc1f23f0893aae65ff924f4e1dd67c69fb3ae75f

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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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:13.355000Z digest=sha256:144ee6018cf7d7eb9dbd3b04a448f46dfa0752233b987874817ccb27add81a6f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:13.425674Z digest=sha256:f7f0d28f134438cf6a6642bbde432c243f975b44427a28165ec25323f8807dce

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:13.488934Z digest=sha256:b83a6ab9456aed2154c9e9190418334306a2a2f7fb1c1a5636615bb0fe153c09

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:13.555633Z digest=sha256:550ba0850bb6029b4134a6eedf1bb0b3373d8480a879cbbd672c830e91cdacae

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:13.647847Z digest=sha256:1aeac507eaf25a8654a0d69eac639d5c546d0c82355535e6718a4e1c27eb2be8

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:13.738372Z digest=sha256:2a5ce7ee3f790925b40a09dd31b5fed5cf905ed507dda5a9db60ce817d7fb928

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:13.780209Z digest=sha256:2381033c500e595eafef65fca03ba19ac10991b9cfadb61fdf93941abd1496e9

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:13.849807Z digest=sha256:8bc0e4c24f5bd341f4fea22ff483ed9435d2a4322c8590f99df5ccccabe6300d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:13.903770Z digest=sha256:466c081b0984621c736a537177688179050fb7d8c9e68f02cb3e09ebfac17642

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T22:14:13.953485Z digest=sha256:88f55807e33c902d9efaf55dca94fadfc92a0aa2e3377e9da521d19febdc10b6

Pith citing papers

No inbound Pith citation observations are available.