Pith. sign in

Paper Citation Record · LEDGER

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction

As of 21 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.18331.

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

pith.paper-citation-record.v1
2507.18331 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:19:43.779994Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

44 of 44 outbound references displayed

  • verified exact1
  • verified fuzzy33
  • unresolved9
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06f9ca8e-89da-4606-9b1c-91b13df80361 · outbound

This paper cites Objectron: A large scale dataset of object-centric videos in the wild with pose annotations.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Objectron: A large scale dataset of object-centric videos in the wild with pose annotations

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.276044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.622308Z digest=sha256:4605006efc510c6862c21b122bc38c8817bc84f832d2c27505ced4cc87b37e2b

Observation 35cc0d22-a0c8-4c7f-b035-82a913237079 · outbound

This paper cites ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:43.627531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.627531Z digest=sha256:8e5ead55dac93695eaa76913fea3865f670e60ac274b63b3e1b85bc8eeae8c93

Observation 2aff32a9-5339-4d58-99ca-939785001a5c · outbound

This paper cites End-to- end object detection with transformers.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction End-to- end object detection with transformers

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.263960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.631741Z digest=sha256:418c018b130059d78cb5a9ec4ff4474bc1e371e216b35de7f81c21f59f81f229

Observation e9e762e2-8ac2-4b59-abf1-72de3323b8e1 · outbound

This paper cites MVSplat: Efficient 3d gaussian splatting from sparse multi-view images.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction MVSplat: Efficient 3d gaussian splatting from sparse multi-view images

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.251914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.635523Z digest=sha256:606339472583735f58790e72f6fcacb31c0564c40345bb187c9286e76e7a582b

Observation e35a0e99-3511-4706-9634-93525dbbcb6a · outbound

This paper cites A space-sweep approach to true multi- image matching.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction A space-sweep approach to true multi- image matching

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.240420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.639437Z digest=sha256:156319a7421b66d44537e3ec60aa0517d045d362495af55e4bd76f767fbab0bc

Observation e23deab3-db4a-4495-9fa1-9a7715b72e06 · outbound

This paper cites ScanNet: Richly-annotated 3d reconstructions of indoor scenes.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction ScanNet: Richly-annotated 3d reconstructions of indoor scenes

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.229361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.642914Z digest=sha256:a0ab746bc44d6c5699c7d1bf1cce4968c7994c73e6105bce04bf1b7dc885df42

Observation f7e56130-a8f6-4118-bb63-767e3ee5d7e3 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction An image is worth 16x16 words: Transformers for image recognition at scale

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:43.646393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.646393Z digest=sha256:2dca838b631d1ec57f456edcafbe14f57d3a0477dc1ff5219bbf4ae820155c31

Observation 28314dbb-710f-4138-953e-65d53d0ba1ae · outbound

This paper cites Deep residual learning for image recognition.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Deep residual learning for image recognition

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:43.650187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.650187Z digest=sha256:4c7a8b98cb09e000a5a2dc85d15f5c1c68074f3c0f7f617f1b40118d1952a7b8

Observation 80d14f6c-b082-4dfc-b082-710e91c53502 · outbound

This paper cites NeRF-Det++: Incorporat- ing semantic cues and perspective-aware depth supervision for indoor multi-view 3d detection.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction NeRF-Det++: Incorporat- ing semantic cues and perspective-aware depth supervision for indoor multi-view 3d detection

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.206120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.653535Z digest=sha256:4a9b7919e830f778c0e1d977f825a3435c6a09dfc84d25e5f6381a683c7446c9

Observation d6087566-1791-4af1-8c24-4885ba77b7a1 · outbound

This paper cites BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:43.657076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.657076Z digest=sha256:92e102abe675d7daac93f35110c8417a246a06eb6c552ea811b0cab2e1a223e1

Observation aa9126a0-7f33-4cd2-96fb-abf6338dbb08 · outbound

This paper cites UniDet3D: Multi-dataset Indoor 3D Object Detection.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction UniDet3D: Multi-dataset Indoor 3D Object Detection

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:43.661984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.661984Z digest=sha256:b87c02a25882bd538e7ee4bd1860eadbd3872d86ae7296cd6cc7a596e6063f06

Observation abc0bbd7-7425-4e61-9a34-bc982aa7a266 · outbound

This paper cites DFA3D: 3d deformable attention for 2d-to-3d feature lifting.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction DFA3D: 3d deformable attention for 2d-to-3d feature lifting

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.195516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.665669Z digest=sha256:99a2ed5295b975ce8145847fae897661e35c9e4b960eaac727a3aba00921b90e

Observation 9a41abaf-2be6-423c-b6dd-53d242239b6b · outbound

This paper cites VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:43.669437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.669437Z digest=sha256:ff255996ad7a912d5f5d0c702431ef49b6bfff0e98cdfa5a25615dad37a7918e

Observation 5956a0b1-c958-4136-8571-c6361e00a16b · outbound

This paper cites BEVDepth: Acquisition of reliable depth for multi-view 3d object detec- tion.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction BEVDepth: Acquisition of reliable depth for multi-view 3d object detec- tion

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.183560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.673938Z digest=sha256:bfa23276f47cd5678778a693a8ebc0cad8ee8b2b3604949f37ac43c97c54e2f1

Observation d21a3c97-1116-4653-a8f9-42a57a67dcc3 · outbound

This paper cites V oxFormer: Sparse voxel transformer for camera- based 3d semantic scene completion.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction V oxFormer: Sparse voxel transformer for camera- based 3d semantic scene completion

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.172344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.677167Z digest=sha256:4dbbecb8b5c6880c0c5b9488f0390dc286d51535a1e4e487b81441f9aff078dd

Observation 4db7cc86-732d-4dfc-ac46-fed5729689df · outbound

This paper cites BEVFormer: Learning bird’s-eye-view representation from lidar-camera via spatiotemporal transformers.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction BEVFormer: Learning bird’s-eye-view representation from lidar-camera via spatiotemporal transformers

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.162018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.680324Z digest=sha256:a5aa82447d313c78e60009361baf8062973ba56ec20b08517ebe99f820b93e19

Observation 0e8c5d07-1ff0-4b0b-89b9-21ccd4a707db · outbound

This paper cites GO-N3RDet: Geometry opti- mized nerf-enhanced 3d object detector.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction GO-N3RDet: Geometry opti- mized nerf-enhanced 3d object detector

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.150427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.683615Z digest=sha256:ee858f3241df0112530937ae588197e4f7a3a6cdb0e002c03cb3fe7953dc17f8

Observation e6dca1ba-2e33-4f2f-a130-22bd2bd8bd14 · outbound

This paper cites CascadeV-Det: Cascade Point Voting for 3D Object Detection.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction CascadeV-Det: Cascade Point Voting for 3D Object Detection

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:19:43.842521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.686821Z digest=sha256:ed015ac9c087bc49369a2ca76c71149d70f115c01db50df30a26f5bd631cf03b

Observation 5db0572c-1543-46bb-ac3c-4fe09fd76408 · outbound

This paper cites Feature pyramid networks for object detection.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Feature pyramid networks for object detection

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.138596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.690261Z digest=sha256:6a0a32cad108ee2bef274cc38d6e299c1626a83accad3f590cb27806d52404f2

Observation 2e750016-6751-4ff3-8f6a-aa5b3f1d724a · outbound

This paper cites SparseBEV: High-performance sparse 3d object de- tection from multi-camera videos.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction SparseBEV: High-performance sparse 3d object de- tection from multi-camera videos

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.127557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.693223Z digest=sha256:ddd535b261a911099c1c92d574590dcfa6ae58a4170742f8f84dd1b1e5b02484

Observation 4aa453ce-c816-47a3-aed3-9194716cc3ff · outbound

This paper cites Fully sparse 3d occupancy prediction.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Fully sparse 3d occupancy prediction

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.117309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.696665Z digest=sha256:6defd39578f6409bc04c8022f72119105c0765728a096c674703a1dbde34ed83

Observation 66174b45-ede6-49bc-aa7d-12d34f682187 · outbound

This paper cites PETR: Position embedding transformation for multi-view 3d object detection.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction PETR: Position embedding transformation for multi-view 3d object detection

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.107122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.699989Z digest=sha256:ade6e60f7888c90ba27e7fa2b2c1d21407f7ff8a92d8308b5c7a4454a99ebb07

Observation 6f469e3d-2756-41f7-8cdd-c0cafa5aa9ff · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:43.703218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.703218Z digest=sha256:bffcae9d405c8dfc47d556ee8654032fa015450852dcfef5857990fb853dd0dc

Observation e1560505-822f-48ac-ad29-0c3820536142 · outbound

This paper cites Decoupled Weight Decay Regularization.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Decoupled Weight Decay Regularization

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:43.706805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.706805Z digest=sha256:3e25a2652a823ae742a498726bbcdb09df21a8509f1743704d6bb77415402729

Observation 9ea7fa02-9f5a-4bdb-9656-e61103b445bc · outbound

This paper cites Oc- treeOcc: Efficient and multi-granularity occupancy predic- tion using octree queries.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Oc- treeOcc: Efficient and multi-granularity occupancy predic- tion using octree queries

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.096518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.710096Z digest=sha256:19238e0c3e6f89e1e69939c23759582865fa4bf20da287d24c11f49472e6d4e0

Observation 6a95996b-5dc1-485d-b619-7c02df888c3b · outbound

This paper cites Deep hough voting for 3d object detection in point clouds.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Deep hough voting for 3d object detection in point clouds

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.086639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.714161Z digest=sha256:c095f434f3c103bbf12eb17dac21bb6a155ef848abbfc14df5d39cc4b47f0e43

Observation d3c5df1d-a52c-4866-a2a5-efb4e4bf05ae · outbound

This paper cites Language- grounded indoor 3d semantic segmentation in the wild.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Language- grounded indoor 3d semantic segmentation in the wild

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:43.718174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.718174Z digest=sha256:f230b76fe415e9c4778be0b856e39f27cecbd08dc1fdd8503b99846168204e75

Observation 161f481c-1d0c-4f0d-a02e-9e3bbc2d6eb7 · outbound

This paper cites FCAF3D: Fully convolutional anchor-free 3d object detec- tion.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction FCAF3D: Fully convolutional anchor-free 3d object detec- tion

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.070164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.721460Z digest=sha256:8428ee3917b8a42e1623b45dc7c1f503fa11c923bb03aea749314567f8527d37

Observation 656d4941-5da4-4543-9bbc-697a407240c6 · outbound

This paper cites ImV oxelNet: Image to voxels projection for monocular and multi-view general-purpose 3d object detection.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction ImV oxelNet: Image to voxels projection for monocular and multi-view general-purpose 3d object detection

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.060175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.724963Z digest=sha256:8d5c6fb20126c5d1c147569f2f808360057ae69954041cb179d2d409f2d91252

Observation eb9192f1-80dc-4929-a5b9-364992fcde9a · outbound

This paper cites CN-RMA: Combined network with ray marching aggrega- tion for 3d indoor object detection from multi-view images.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction CN-RMA: Combined network with ray marching aggrega- tion for 3d indoor object detection from multi-view images

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.049849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.728281Z digest=sha256:a1df4ccdbe408ec07600356f09822ffd1c788ba2f6a54fcb0e5fcaf9229eb0e4

Observation dfff186b-5d02-4615-bbc7-bbfbdc68a26b · outbound

This paper cites Im- GeoNet: Image-induced geometry-aware voxel representa- tion for multi-view 3d object detection.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Im- GeoNet: Image-induced geometry-aware voxel representa- tion for multi-view 3d object detection

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.038016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.732622Z digest=sha256:c0aa8736661177bbd65e0c3ceaf94c5dce24eeee2cb07569a9d4bafc708ceac5

Observation 52c1815b-234e-456a-aeff-da7457c1d12c · outbound

This paper cites CA- Group3D: Class-aware grouping for 3d object detection on point clouds.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction CA- Group3D: Class-aware grouping for 3d object detection on point clouds

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.026338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.735851Z digest=sha256:8760cd4f69687bf856efeefc812887baea9d275d41e9803c5d38cd9590f2649f

Observation da89db84-621b-48f6-8e89-477d60c7943c · outbound

This paper cites OPUS: Occupancy prediction using a sparse set.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction OPUS: Occupancy prediction using a sparse set

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.014299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.739140Z digest=sha256:4b8794e41fa045859902419a861fd9207573e1f8fe0787b45fe10aa815287cc9

Observation a0f73c7a-51e6-4acd-bd19-184aed544d0c · outbound

This paper cites EmbodiedScan: A holistic multi- modal 3d perception suite towards embodied AI.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction EmbodiedScan: A holistic multi- modal 3d perception suite towards embodied AI

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:44.002828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.742367Z digest=sha256:6f2ae26006a3e25259f1c4f54033ab47e2ee52a671463b3b8da5c8f83d495ead

Observation 77eb54a6-1578-4448-a9e9-ad789959d202 · outbound

This paper cites DETR3D: 3d object detection from multi-view images via 3d-to-2d queries.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction DETR3D: 3d object detection from multi-view images via 3d-to-2d queries

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:43.992553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.746582Z digest=sha256:07948616da3b5b25782644825dff1ab2e0584ff0b54828c68a79589d048fafb6

Observation e34383c4-80c0-4bf1-b66a-504161d38455 · outbound

This paper cites Attention is all you need.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Attention is all you need

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:43.981300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.750444Z digest=sha256:973a9211650d90482207bc89804dba926898c8a2760c630f512a878081d1320b

Observation a1569dcf-dc0a-43ed-8f26-4fe66b556e32 · outbound

This paper cites Pixel-aligned recurrent queries for multi-view 3d object detection.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Pixel-aligned recurrent queries for multi-view 3d object detection

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:43.970296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.754280Z digest=sha256:ea04ccd01a5e4f9a5854f8584ddc51de4ce2663912ee416215783c50355a3113

Observation 16183f49-ee0c-4c03-9673-6b115103dfd8 · outbound

This paper cites NeRF-Det: Learning geometry-aware volumetric representation for multi-view 3d object detection.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction NeRF-Det: Learning geometry-aware volumetric representation for multi-view 3d object detection

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:43.959268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.757725Z digest=sha256:079f3d39e1468722be26219ee4e9cfd2e2b0e2728ba685327e2ef7a1efcd199d

Observation aab3ae61-3671-4cd8-9996-90a1a380dd41 · outbound

This paper cites Unifying flow, stereo and depth estimation.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Unifying flow, stereo and depth estimation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:43.941402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.764637Z digest=sha256:58e8c772e950e1adee650d4a74e2491d047c491db191860ab758890bc1d8564a

Observation 402b0588-40b0-433c-b66a-b8999abb7279 · outbound

This paper cites MVSDet: Multi- view indoor 3d object detection via efficient plane sweeps.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction MVSDet: Multi- view indoor 3d object detection via efficient plane sweeps

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:43.929570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.768056Z digest=sha256:8304ac4115741ae71e70018d3140e73e5865b2e5a3f2bcdd71da75190624720b

Observation 1f2fb457-35e3-4890-b48c-97d2ede8f69d · outbound

This paper cites MVSNet: Depth inference for unstructured multi- view stereo.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction MVSNet: Depth inference for unstructured multi- view stereo

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:43.918972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.772661Z digest=sha256:bb96d904dba15fc84ec7b736ebc474b9d12b95a67158ee40b9c9b96ac312ffa8

Observation 077bbc2f-64b5-447d-9263-654229fd2320 · outbound

This paper cites Context and geometry aware voxel transformer for semantic scene completion.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Context and geometry aware voxel transformer for semantic scene completion

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:43.907844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.776468Z digest=sha256:a15beea155e6c1ea25f26e778ff3d6cf98db81f933ecf5d920b6cbf92dc14b87

Observation a70232c2-60cf-4043-974e-9dbc2130329d · outbound

This paper cites H3DNet: 3d object detection using hybrid geometric prim- itives.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction H3DNet: 3d object detection using hybrid geometric prim- itives

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:43.895048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:43.779994Z digest=sha256:850610ab8da51ba079249dfeeb2280f805a7f3dc92dd727e1c3b2a7707fa87f5

Observation 501fbb30-549c-4080-9105-6aacf674fd2c · outbound

This paper cites an unresolved cited work.

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction Unresolved cited work

Reference 2023

Resolution
parse uncertain
no resolver link, observed 2026-08-15T18:19:43.761346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.761346Z digest=sha256:4d2c74377c957029678cc7d142b838b4e9a317456370035d330d8f3a8837532a

Pith citing papers

No inbound Pith citation observations are available.