Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:42:54.362361Z
Paper Citation Record · LEDGER
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection
As of 22 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 0 inbound Pith citation observations for arXiv:2608.09147.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
90 of 90 outbound references displayed
- verified exact1
- verified fuzzy52
- unresolved36
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 78187b37-94e9-4dd8-b4af-ff1488dd0a7c · outbound
This paper cites Qwen3-VL Technical Report.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Qwen3-VL Technical Report
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:52.373661Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7ac1406-829b-40fc-b1e9-169ad44954c1 · outbound
This paper cites Qwen2.5-VL Technical Report.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Qwen2.5-VL Technical Report
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:52.454808Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3ad01e8-def6-4e6c-8e24-bc721f91da91 · outbound
This paper cites Omni3d: A large benchmark and model for 3D object detection in the wild.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Omni3d: A large benchmark and model for 3D object detection in the wild
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:52.504746Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90a70e41-f54d-47b9-98c3-3f3cd25b3930 · outbound
This paper cites M3D-RPN: Monocular 3D region proposal network for object detection.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection M3D-RPN: Monocular 3D region proposal network for object detection
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:52.554749Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ce193aa-cddf-4f74-8175-91e0ac7532a8 · outbound
This paper cites Kinematic 3d object detection in monocular video.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Kinematic 3d object detection in monocular video
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:52.604817Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f1303ee-8007-4af9-bfb5-4c4363cff98c · outbound
This paper cites nuscenes: A multimodal dataset for autonomous driving.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection nuscenes: A multimodal dataset for autonomous driving
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:52.654732Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24e6dcf1-8213-4c00-8286-fc3476ad42fc · outbound
This paper cites Vip-llava: Making large multimodal models understand arbitrary visual prompts.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Vip-llava: Making large multimodal models understand arbitrary visual prompts
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:52.724730Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e130e7f-2d26-456c-baa8-617872a5d2ca · outbound
This paper cites End-to-end object detection with transformers.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection End-to-end object detection with transformers
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:52.793808Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83832680-966a-4a5f-8c4e-db20adbe28da · outbound
This paper cites Spatialvlm: Endowing vision-language models with spatial reasoning capabilities.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Spatialvlm: Endowing vision-language models with spatial reasoning capabilities
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:52.824736Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6c6e7a1-3ae5-4715-be06-b98e34dc481e · outbound
This paper cites End-to-end autonomous driving: Challenges and frontiers.TPAMI, 2024.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection End-to-end autonomous driving: Challenges and frontiers.TPAMI, 2024
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:52.874733Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8330c96b-fc03-4c7e-9145-d3301ba91440 · outbound
This paper cites Group detr: Fast detr training with group-wise one-to-many assignment.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Group detr: Fast detr training with group-wise one-to-many assignment
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:52.944744Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2417d19-70ef-4c87-bf52-e655c967885d · outbound
This paper cites Monocular 3D object detection for autonomous driving.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Monocular 3D object detection for autonomous driving
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:57.700479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation dd181c65-09b5-4bea-b858-2538d2300357 · outbound
This paper cites Spatialrgpt: Grounded spatial reasoning in vision-language models.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Spatialrgpt: Grounded spatial reasoning in vision-language models
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:57.674561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0c82e4ce-98f5-4ea0-a26e-f96ecbe88d26 · outbound
This paper cites VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:53.000772Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a4f199b9-b3b4-4dc8-a599-45da86db1309 · outbound
This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Are we ready for autonomous driving? the kitti vision benchmark suite
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:57.649205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2841caaf-7f15-4478-9468-6ef4ea17803c · outbound
This paper cites Omni-rgpt: Unifying image and video region-level understanding via token marks.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Omni-rgpt: Unifying image and video region-level understanding via token marks
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:57.628430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 522112df-aa3b-401d-8aee-8c89481b5409 · outbound
This paper cites 3d-llm: Injecting the 3d world into large language models.NeurIPS, 2023.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection 3d-llm: Injecting the 3d world into large language models.NeurIPS, 2023
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:57.599219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3881e149-4a7e-4de0-a851-8ce5edee5fcc · outbound
This paper cites G 2vlm: Geometry grounded vision language model with unified 3d reconstruction and spatial reasoning.arXiv preprint arXiv:2511.21688, 2025.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection G 2vlm: Geometry grounded vision language model with unified 3d reconstruction and spatial reasoning.arXiv preprint arXiv:2511.21688, 2025
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:53.174829Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18419ca6-7380-4cf1-aff1-ad51f31b019a · outbound
This paper cites Monodtr: Monocular 3D object detection with depth-aware transformer.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Monodtr: Monocular 3D object detection with depth-aware transformer
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:57.579065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 08e3fa61-7058-4d04-8939-88d2ac4f9c22 · outbound
This paper cites 3D-R1: Enhancing Reasoning in 3D VLMs for Unified Scene Understanding.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection 3D-R1: Enhancing Reasoning in 3D VLMs for Unified Scene Understanding
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:53.308959Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b3aeba7-04ee-4f29-902a-354be8ffe679 · outbound
This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:53.321616Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7904973-73c8-45a1-89f2-b77e58085ba8 · outbound
This paper cites MonoMAE: Enhancing monocular 3D detection through depth-aware masked autoencoders.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection MonoMAE: Enhancing monocular 3D detection through depth-aware masked autoencoders
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:57.526359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6a05925d-86a8-43d2-a165-6ff18efb440a · outbound
This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection OpenVLA: An Open-Source Vision-Language-Action Model
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:53.333231Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 854d2589-ba1f-4f56-8e6f-747c5a5ef5cb · outbound
This paper cites Deviant: Depth equivariant network for monocular 3D object detection.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Deviant: Depth equivariant network for monocular 3D object detection
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:57.481595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2fb6ed6b-45af-4bfa-8ef9-154926dcb3a3 · outbound
This paper cites GrooMeD-NMS: Grouped mathematically differen- tiable nms for monocular 3D object detection.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection GrooMeD-NMS: Grouped mathematically differen- tiable nms for monocular 3D object detection
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:57.384023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e6c1ab68-4aab-4800-bec9-de66a139910f · outbound
This paper cites Lisa: Reasoning segmentation via large language model.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Lisa: Reasoning segmentation via large language model
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:53.356112Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18000c34-1f1c-4aa3-bfdd-8bcec243e38f · outbound
This paper cites Spatial forcing: Implicit spatial representation alignment for vision-language-action model.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Spatial forcing: Implicit spatial representation alignment for vision-language-action model
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:53.377319Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cba93358-baad-4f5c-83e3-dfc086a59282 · outbound
This paper cites Diversity matters: Fully exploiting depth clues for reliable monocular 3D object detection.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Diversity matters: Fully exploiting depth clues for reliable monocular 3D object detection
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:57.330239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 119f86c7-41cd-4bff-8152-1b4cccf1686d · outbound
This paper cites Unimode: Unified monocular 3d object detection.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Unimode: Unified monocular 3d object detection
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:57.280631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8fa1b647-66f7-4b60-a412-b5f0b4ff52c9 · outbound
This paper cites Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:53.434907Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f483add-fae9-40b5-a7c2-0fd6e8f13984 · outbound
This paper cites Monotakd: Teaching assistant knowledge distillation for monocular 3d object detection.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Monotakd: Teaching assistant knowledge distillation for monocular 3d object detection
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:57.240456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation eabbbc06-55f9-49f3-8c57-32305fff15f0 · outbound
This paper cites Edge assisted real-time object detection for mobile augmented reality.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Edge assisted real-time object detection for mobile augmented reality
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:57.200955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b0bc0143-b102-4693-8248-9b421bbfada8 · outbound
This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:53.483168Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a606330-b530-4f66-8ae2-80de9a39a6b7 · outbound
This paper cites Monocular 3D object detection with bounding box denoising in 3D by perceiver.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Monocular 3D object detection with bounding box denoising in 3D by perceiver
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:57.151658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7da3dcbf-0e6a-4bdc-9567-7f86343cfc96 · outbound
This paper cites SMOKE: Single-stage monocular 3D object detection via keypoint estimation.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection SMOKE: Single-stage monocular 3D object detection via keypoint estimation
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:57.090921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 879ac075-af12-42e5-bac9-025c6a08f40f · outbound
This paper cites Geometry uncertainty projection network for monocular 3D object detection.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Geometry uncertainty projection network for monocular 3D object detection
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:57.045583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation aec03b03-f803-4a25-b210-5627b9eb3029 · outbound
This paper cites Delving into localization errors for monocular 3D object detection.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Delving into localization errors for monocular 3D object detection
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:57.008203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ee06c864-b72f-4a19-9421-5aadf4f8dd37 · outbound
This paper cites Spatiallm: Training large language models for structured indoor modeling.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Spatiallm: Training large language models for structured indoor modeling
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:56.972882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation de0e65f4-6035-4210-bfc4-513c3c0464cf · outbound
This paper cites 3D bounding box estimation using deep learning and geometry.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection 3D bounding box estimation using deep learning and geometry
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:56.930618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d2edd1d2-f4b0-4ee1-a4aa-9b64798b99b1 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection DINOv2: Learning Robust Visual Features without Supervision
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:53.654995Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4efcfa78-7ee7-4a20-a2dc-9449d139d4b3 · outbound
This paper cites Learning occupancy for monocular 3D object detection.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Learning occupancy for monocular 3D object detection
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:56.883468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e5878834-c7d7-4dae-b050-5a6e29c0a0e9 · outbound
This paper cites UniDepthV2: Universal monocular metric depth estimation made simpler, 2025.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection UniDepthV2: Universal monocular metric depth estimation made simpler, 2025
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:56.861742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 953e5b24-f537-4c0e-aaec-96d8beb345df · outbound
This paper cites MonoDGP: Monocular 3D Object Detection with Decoupled-Query and Geometry-Error Priors.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection MonoDGP: Monocular 3D Object Detection with Decoupled-Query and Geometry-Error Priors
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T22:42:54.776140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1ea534cc-fa1d-4cfd-94df-c0252b11ad62 · outbound
This paper cites Monoground: Detecting monocular 3D objects from the ground.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Monoground: Detecting monocular 3D objects from the ground
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:56.804138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 16df908f-e0ad-450b-939a-d13e814696af · outbound
This paper cites Loc3r-vlm: Language- based localization and 3d reasoning with vision-language models, 2026.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Loc3r-vlm: Language- based localization and 3d reasoning with vision-language models, 2026
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:56.756753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bca78183-3112-4a8d-96c9-4d8e2608b023 · outbound
This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:53.802940Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b3fb06e-6f17-4803-91ac-a99841a826c4 · outbound
This paper cites PointRCNN: 3D object proposal generation and detection from point cloud.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection PointRCNN: 3D object proposal generation and detection from point cloud
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:56.712804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3cd6c1ee-10c7-48bc-846a-b76ec98288cb · outbound
This paper cites Geometry- based distance decomposition for monocular 3D object detection.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Geometry- based distance decomposition for monocular 3D object detection
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:56.689327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2d0e8530-136e-49d9-bc0b-c832c3f409d0 · outbound
This paper cites Geometry- based distance decomposition for monocular 3D object detection.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Geometry- based distance decomposition for monocular 3D object detection
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:56.664185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3736ae73-b70a-4964-976f-10b93280fe06 · outbound
This paper cites What does clip know about a red circle? visual prompt engineering for vlms.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection What does clip know about a red circle? visual prompt engineering for vlms
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:56.625339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5d14ff63-74d3-463f-8b45-db1aa07dab8e · outbound
This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection EVA-CLIP: Improved Training Techniques for CLIP at Scale
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:53.929902Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a94ea378-f03e-426e-a421-ac98d58523bf · outbound
This paper cites Cambrian-1: A fully open, vision-centric exploration of multimodal llms, 2024.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Cambrian-1: A fully open, vision-centric exploration of multimodal llms, 2024
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:56.533136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fdf1289f-5f3e-4688-a90a-bdd4fcf1a7a2 · outbound
This paper cites Vggt: Visual geometry grounded transformer.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Vggt: Visual geometry grounded transformer
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:56.510886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9ca04145-97e4-400f-a4e4-0db12d266f7e · outbound
This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:53.951768Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 464d571d-5e91-490f-9035-36f154fe330c · outbound
This paper cites Moge-2: Accurate monocular geometry with metric scale and sharp details.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Moge-2: Accurate monocular geometry with metric scale and sharp details
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:56.424408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 264621be-d8a0-4199-98c3-3d909f425a0a · outbound
This paper cites Embodiedscan: A holistic multi-modal 3d perception suite towards embodied ai.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Embodiedscan: A holistic multi-modal 3d perception suite towards embodied ai
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:56.341262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation cdecedf8-bf46-43f3-92fe-1aefe629245a · outbound
This paper cites Probabilistic and geometric depth: Detecting objects in perspective.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Probabilistic and geometric depth: Detecting objects in perspective
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:56.294761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e19fcf69-9e6f-48f5-851e-8e80b33591d3 · outbound
This paper cites N3d-vlm: Native 3d grounding enables accurate spatial reasoning in vision-language models.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection N3d-vlm: Native 3d grounding enables accurate spatial reasoning in vision-language models
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:54.081262Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46524032-23a2-4784-bae8-7f75f1d48cda · outbound
This paper cites Ov-uni3detr: Towards unified open-vocabulary 3d object detection via cycle-modality propagation.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Ov-uni3detr: Towards unified open-vocabulary 3d object detection via cycle-modality propagation
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:56.224751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 280fb01e-b9ca-4d1e-8300-ce9f1f413955 · outbound
This paper cites Monopgc: Monocular 3D object detection with pixel geometry contexts.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Monopgc: Monocular 3D object detection with pixel geometry contexts
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:56.164805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5480dcd5-e064-4aa8-9866-feecab4c74cf · outbound
This paper cites FD3D: Exploiting foreground depth map for feature-supervised monocular 3D object detection.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection FD3D: Exploiting foreground depth map for feature-supervised monocular 3D object detection
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:56.128861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8f9e0e7d-8bea-491f-939f-0d4de752dd4a · outbound
This paper cites Pointllm: Empower- ing large language models to understand point clouds.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Pointllm: Empower- ing large language models to understand point clouds
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:56.036818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c64dd527-500d-4641-88e4-5c8dc94b5f5f · outbound
This paper cites MonoCD: Monocular 3D object detection with complementary depths.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection MonoCD: Monocular 3D object detection with complementary depths
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:56.008213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 86720c4b-872d-48b3-8306-8fab8ba7e1a6 · outbound
This paper cites Qwen3 Technical Report.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Qwen3 Technical Report
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:54.139970Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 666854ce-4354-4e33-9547-1adc3248a3a9 · outbound
This paper cites Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:54.156474Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a210ecc5-89bc-4640-b532-515336f80c78 · outbound
This paper cites LISA++: An Improved Baseline for Reasoning Segmentation with Large Language Model.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection LISA++: An Improved Baseline for Reasoning Segmentation with Large Language Model
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:54.163754Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6e47b97-ee27-49f9-906d-13d45745190f · outbound
This paper cites 3d-mood: Lifting 2d to 3d for monocular open-set object detection.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection 3d-mood: Lifting 2d to 3d for monocular open-set object detection
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:55.945609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation caaacff0-c253-4a51-aff0-1cb35087c041 · outbound
This paper cites Open vocabulary monocular 3d object detection.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Open vocabulary monocular 3d object detection
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:55.884809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a4526452-68b2-42d3-989d-a256912ba07c · outbound
This paper cites Dwyer, and Zezhou Cheng.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Dwyer, and Zezhou Cheng
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:55.786661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bae92556-470c-47af-b0b5-9125361f0e94 · outbound
This paper cites Center-based 3D object detection and tracking.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Center-based 3D object detection and tracking
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:55.767320Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f71b29e5-d9df-4b87-922b-94e788bf33e9 · outbound
This paper cites Videorefer suite: Advancing spatial-temporal object understanding with video llm.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Videorefer suite: Advancing spatial-temporal object understanding with video llm
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:55.745716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 265460b4-e427-4e2b-bb7b-22a006fc1663 · outbound
This paper cites Detect anything 3d in the wild.arXiv preprint arXiv:2504.07958, 2025.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Detect anything 3d in the wild.arXiv preprint arXiv:2504.07958, 2025
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:54.233876Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68317237-466c-47b3-ba67-da854cbe601c · outbound
This paper cites Monodetr: Depth-guided transformer for monocular 3D object detection.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Monodetr: Depth-guided transformer for monocular 3D object detection
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:55.713522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 067c0e06-798b-4c3b-aa8c-2bb5dde42f51 · outbound
This paper cites Objects are different: Flexible monocular 3D object detection.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Objects are different: Flexible monocular 3D object detection
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:55.687279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 25ffde4e-e80a-4ab3-a81a-fdbdc20ed98a · outbound
This paper cites Unleashing the power of chain-of-prediction for monocular 3d object detection.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Unleashing the power of chain-of-prediction for monocular 3d object detection
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:55.656889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 209120c8-ddd5-4d61-af5d-9a23c15c4629 · outbound
This paper cites Detrs beat yolos on real-time object detection.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Detrs beat yolos on real-time object detection
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:55.623346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 09ba0257-7335-4fdc-a8f0-51d918e6005e · outbound
This paper cites 3D-VLA: A 3D Vision-Language-Action Generative World Model.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection 3D-VLA: A 3D Vision-Language-Action Generative World Model
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:54.268139Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48466a47-025c-463c-abaa-6a85fd4ab12c · outbound
This paper cites Monoatt: Online monocular 3D object detection with adaptive token transformer.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Monoatt: Online monocular 3D object detection with adaptive token transformer
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:55.593413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 78c634d8-8a69-4f21-9457-e6c66febb797 · outbound
This paper cites Single image 3d object detection and pose estimation for grasping.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Single image 3d object detection and pose estimation for grasping
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:55.560087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a4b1f79c-a60d-42a6-9eb1-19685acb8aa7 · outbound
This paper cites move closer to camera.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection move closer to camera
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:55.535717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fe137f5a-5526-4908-8936-156107be54eb · outbound
This paper cites 16 Table 8: Oracle study under the Omni3D evaluation protocol.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection 16 Table 8: Oracle study under the Omni3D evaluation protocol
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:55.474764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9ce2ca16-51c1-4e81-beb9-a133e672eac4 · outbound
This paper cites an unresolved cited work.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Unresolved cited work
Reference 83
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T22:42:55.424527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation cecaa751-2c39-4b7a-8475-e19b7c5e7c95 · outbound
This paper cites an unresolved cited work.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Unresolved cited work
Reference 84
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T22:42:55.402688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f375d25c-8e8e-419b-9642-eeb43dda1b2e · outbound
This paper cites We use Tmax = 2 in all experiments.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection We use Tmax = 2 in all experiments
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:55.354741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 792b567a-df36-4b27-ba30-44d6946a4c14 · outbound
This paper cites Indoor Scenes.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Indoor Scenes
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:42:55.329673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bd82f07e-8e42-4f5f-9ca6-0f0d5ec7da7a · outbound
This paper cites an unresolved cited work.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Unresolved cited work
Reference 87
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T22:42:55.311937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6d395df3-d3f2-4dce-88e0-920eabc80a69 · outbound
This paper cites an unresolved cited work.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Unresolved cited work
Reference 88
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T22:42:55.273178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2b7222f0-37fa-4f99-b2a5-68ba5b59e96d · outbound
This paper cites a black car viewed from behind on a street.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection a black car viewed from behind on a street
Reference 89
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-11T22:42:55.253604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 232eaabc-dc06-47de-89f1-54293262a824 · outbound
This paper cites an unresolved cited work.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Unresolved cited work
Reference 90
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T22:42:55.220328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 09cdadc8-5e8d-4111-bacf-209a8e6eda34 · outbound
This paper cites an unresolved cited work.
RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection Unresolved cited work
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:42:52.414751Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.