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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.622308Z digest=sha256:bb9530a2d6472d0be6e6b2427e0d75a137d56f44dd6802f3947b516cb3bdda00

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

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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=sha256:87d28464e455fe7d807c8c5cdebf42d21fb007f4ad8e9badc85059c5d82bc9bc

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.631741Z digest=sha256:4f1bf089a9955425df369aa2efd953eab71cfc11314e268dc92ec38c9d7e7d23

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.635523Z digest=sha256:c6bfe82d108eab04d7d24142fdf7f539968b332a80f1924448bb1cf7e706eff9

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.639437Z digest=sha256:eb23f0485edacc3e6e3665e409ab8108d2a4907e274a80e6340de40f0b2af085

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.642914Z digest=sha256:0a083a2850c6d22afba7f8f9cd5ee48cd3ac43ba7074937a0c8617722d5c0b4b

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.646393Z digest=sha256:3e4a6eaf92d90ba1df1e8c742f622f98f41b9be9c6e658c6537c28893100e814

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

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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=sha256:60d01bbc36e8a0a8dd54d00996753f98f259b50cc8ba1ad2fba6719d9ff4a84d

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
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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.653535Z digest=sha256:ea21666f8a385f8d318dbd1e17b614653b019d363f3bbf2dbf2c74845b45bfec

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

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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=sha256:514bbee6decd897ffb045a98a6937ee8bcf44927e4d717c212f83bb0a1595934

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

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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=sha256:7a21c90041f6eb3eb282eb9cdd2b1a450c3e2e6c438189a1c18462147ed8d461

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
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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.665669Z digest=sha256:0be21220c336bbeedbafa94c2a0b5af773bf77a5942aeb8c5ac2a9a10e1f47da

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
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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=sha256:27d45c0aa36bf19a27f47819b6ee0c4c32a5567de8c0905d9881693b962f9c4e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.673938Z digest=sha256:dd677c5d5b2d5448b4c331f5e87e07d8b92a5207ea6e61f1a3bd54024f106f8a

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
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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.677167Z digest=sha256:f545fe9a77c0d9de2cf0726d21c41170d340b5bef3983cf18ee8a4402a614fa2

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.680324Z digest=sha256:ba62665089b36c89b99ca8e813176be9219c38ea7c7ed370bcb971d57b048d15

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.683615Z digest=sha256:f313b12bf07c13be4bb69bfcf556e7da10c859e19cbd4f6ecb78b735c20a666e

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
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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.686821Z digest=sha256:d907aa9ffa9232fe5be023e323c74bd9603fa0da28147662f649a6cb437288ce

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.690261Z digest=sha256:08c79d38f623effa271d29402cd54548840910746c6d057dc965404186059318

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.693223Z digest=sha256:c6ccfaebeb0f62848978775198d376986d1b8937e810483bdf0cbb75a7d3c0cb

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.696665Z digest=sha256:7c9b2f321451d2c6fd74904fc18f628eba77a9a3ceadd6183fe06ac4eac5f57d

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.699989Z digest=sha256:41391549234aba3f27d471003adf9b97757575a0498b8b7687d5c871156bfb43

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:43.703218Z digest=sha256:3a5e0e3432f417af262366ffa15cfb1f9c4e961de4ddfe0e126c1c396c34934d

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
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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=sha256:56fd2003520ea4f015789035fe288f68190ff98d30f91add1295d47d5f23e5ac

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.710096Z digest=sha256:e2ddd5b73ee9145127dafb7f062516d1270b7f67a924002d7144e42075ce6437

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
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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.714161Z digest=sha256:c20e65cd5d767ed982cd0a87f270fb3a84687de938f217269e01c7a1d2d1db60

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=sha256:7dae1cdef7cb00e4624ff3b5c00f9c90347861abff6e01258b3567402ea74237

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
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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.721460Z digest=sha256:a979be1cee95818daaa8acbb8a8837d29b14494bdf56fa678168fd7fb0911e0e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.724963Z digest=sha256:e4ccb1c31c6f209bfbfbc5e5d67e48e1b5c426401e2ca33bddf703a8dc417683

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.728281Z digest=sha256:064a1d092d7c3ba0df765d3ce1976855631e87a166067eb6bdb6810b4facd54c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.732622Z digest=sha256:aea3b38e18338e720ba5c8f5825e929c5ca971658346e97a7b401f4e94a2a379

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.735851Z digest=sha256:2a6d30c5261b22412ca2406d66f97de9fc643100e5006b584dedde8befbce146

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.739140Z digest=sha256:c5b0d698ea329371932aa211910d5cb5a3f3b801c4fd49376cafd81db8498f6f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.742367Z digest=sha256:c09c606617bc98fd2114f884e2b90c73a96f74d8b957114dcdce75dcf2f87587

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.746582Z digest=sha256:c55d9dc157a2829aa680546159c0bb524673d7f6e2d58ece280bb8395d401422

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.750444Z digest=sha256:5d3388be80e8de4b1840f37fc6541488fda47cd531a9afdb46d987d137716148

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.754280Z digest=sha256:e35b9518208efcc4ea9289b1d035a1bedf95631a5ad3923e36469a0a68d40e9a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.757725Z digest=sha256:8d9d5cf0ecc14abebe3a5f5424d5f9085357fa573be36a5f0037f8386f453ed7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.764637Z digest=sha256:e9f4a4511e4c1e4f1a9bf128f874f4e20dc70668881bc7203bd96394297a5da2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.768056Z digest=sha256:1f7ad9d61867c637e9209c4b024de09ad2efef2cfff6dce39c246eac8efcf344

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.772661Z digest=sha256:82ac19960a7b16083697f58ff83132fbb78692ae94dfe8c92dc9c5231b33b346

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.776468Z digest=sha256:288a84c11028c1fdec4bafde5417c8063981b3a2ef07e760faadd15378a6b84d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:19:43.779994Z digest=sha256:f2d8c6843f390099a5b0f12962ea7333e16d60b275227daf038fde8ff9e55a10

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=sha256:14e61b18dfb33ca590d8ff3c04585e78e6af8a4b47f50f3f102d18eb4652785e

Pith citing papers

No inbound Pith citation observations are available.