Paper Citation Record · LEDGER

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion

As of 7 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 3 inbound Pith citation observations for arXiv:2508.03252.

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

pith.paper-citation-record.v1
2508.03252 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:36:13.585628Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T06:52:01.602161Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T06:53:05.772050Z

Reference resolution

50 of 50 outbound references displayed

verified exact0
verified fuzzy19
unresolved31
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 632c0c43-8bbd-47ac-ae0e-ca850f88fcb3 · outbound

This paper cites A general theoretical paradigm to un- derstand learning from human preferences.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion A general theoretical paradigm to un- derstand learning from human preferences

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:36:14.391465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 38f0cbc9-f83c-41bf-b62c-24a819528964 · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.227412Z

Source-reported events for the cited work

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Observation 70ad7def-4fe4-4484-8640-940cf3e093e4 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.256733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17a1bcee-8b99-4b2b-8ed9-a75ca048eef6 · outbound

This paper cites Align your latents: High-resolution video synthesis with la- tent diffusion models.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.359408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7adc31fe-2168-4f9c-9f5b-b5975981d426 · outbound

This paper cites The perception-distortion tradeoff.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion The perception-distortion tradeoff

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:36:14.355147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0f5084f2-dba9-43d3-879e-b5599182f536 · outbound

This paper cites EdgeFusion: On-Device Text-to-Image Generation.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion EdgeFusion: On-Device Text-to-Image Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.368190Z

Source-reported events for the cited work

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Observation 41de01d6-d1bb-4260-b928-b1b55056fc06 · outbound

This paper cites Videocrafter2: Overcoming data limitations for high-quality video diffu- sion models.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Videocrafter2: Overcoming data limitations for high-quality video diffu- sion models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:36:14.340218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 237d4d74-4d65-4644-a8c1-843922c7c4ce · outbound

This paper cites Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.377813Z

Source-reported events for the cited work

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Observation 05bb116d-a9eb-4eb0-afdc-c876299a0c18 · outbound

This paper cites VPO: Aligning Text-to-Video Generation Models with Prompt Optimization.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion VPO: Aligning Text-to-Video Generation Models with Prompt Optimization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.382692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f61c79af-4b4b-4795-ac06-b51bd4c812d1 · outbound

This paper cites RLHF Workflow: From Reward Modeling to Online RLHF.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion RLHF Workflow: From Reward Modeling to Online RLHF

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.387559Z

Source-reported events for the cited work

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Observation cd2aaa50-123f-44c5-8747-4f42629cfed2 · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion KTO: Model Alignment as Prospect Theoretic Optimization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.392364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 803e3cde-bdbf-4e6e-849f-6e2179ecd459 · outbound

This paper cites Robust Preference Optimization through Reward Model Distillation.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Robust Preference Optimization through Reward Model Distillation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.397543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 235cfc1f-c472-4abe-82d0-59f16081d7fa · outbound

This paper cites A theory of the distortion-perception tradeoff in wasserstein space.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion A theory of the distortion-perception tradeoff in wasserstein space

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:36:14.323661Z

Source-reported events for the cited work

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Observation ec32f00b-56b3-44f2-9827-7b55ef1cea66 · outbound

This paper cites The devil is in the prompts: Retrieval-augmented prompt optimization for text-to-video generation.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion The devil is in the prompts: Retrieval-augmented prompt optimization for text-to-video generation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:36:14.306058Z

Source-reported events for the cited work

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Observation 4df43556-7ae8-4e49-82ab-d3e6024f1daa · outbound

This paper cites Generative adversarial networks.Commu- nications of the ACM, 63(11):139–144, 2020.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Generative adversarial networks.Commu- nications of the ACM, 63(11):139–144, 2020

Reference 15

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Source-reported events for the cited work

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Observation a9e3b838-9524-4038-8924-5fd067ad16f7 · outbound

This paper cites Direct Language Model Alignment from Online AI Feedback.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Direct Language Model Alignment from Online AI Feedback

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.417768Z

Source-reported events for the cited work

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Observation ea10c170-18c9-427e-8326-40712468e14a · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.423235Z

Source-reported events for the cited work

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Observation 22539301-87c3-4ef8-91cb-5d08fdaf0ed7 · outbound

This paper cites VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.428878Z

Source-reported events for the cited work

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Observation 7a9e5f69-3ce7-4d62-92a9-10192490ad59 · outbound

This paper cites Channel pruning for accelerating very deep neural networks.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Channel pruning for accelerating very deep neural networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:36:14.278528Z

Source-reported events for the cited work

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Observation 06b3874f-7676-4ad9-b2d1-55a327f60c23 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Distilling the Knowledge in a Neural Network

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.438561Z

Source-reported events for the cited work

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Observation 6fd42625-c92c-4098-a991-50cb0c6c58b4 · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.443125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef552e67-54f9-4b6f-9c72-79299b5c0a6d · outbound

This paper cites ORPO: Monolithic Preference Optimization without Reference Model.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion ORPO: Monolithic Preference Optimization without Reference Model

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.447632Z

Source-reported events for the cited work

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Observation 39059006-f283-4f00-bf04-bb2d78a67c49 · outbound

This paper cites Vbench: Comprehensive bench- mark suite for video generative models.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Vbench: Comprehensive bench- mark suite for video generative models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:36:14.252936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 71b96985-1aff-41ab-abec-cff0d3a55db4 · outbound

This paper cites Unpacking dpo and ppo: Dis- entangling best practices for learning from preference feed- back.Advances in neural information processing systems, 37:36602–36633, 2025.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Unpacking dpo and ppo: Dis- entangling best practices for learning from preference feed- back.Advances in neural information processing systems, 37:36602–36633, 2025

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:36:14.237193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 17694a07-6653-4fc7-abf0-14399d5e251b · outbound

This paper cites HuViDPO:Enhancing Video Generation through Direct Preference Optimization for Human-Centric Alignment.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion HuViDPO:Enhancing Video Generation through Direct Preference Optimization for Human-Centric Alignment

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.462247Z

Source-reported events for the cited work

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Observation b24fdadd-0f1d-4263-b7c9-7771ef88ead4 · outbound

This paper cites Bk-sdm: A lightweight, fast, and cheap ver- sion of stable diffusion.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Bk-sdm: A lightweight, fast, and cheap ver- sion of stable diffusion

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:36:14.220077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6abae9e3-e867-4128-8050-b003a875de91 · outbound

This paper cites Auto-encoding vari- ational bayes, 2013.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Auto-encoding vari- ational bayes, 2013

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.471300Z

Source-reported events for the cited work

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Observation 91df55b7-289f-441b-a200-cf31e57d590c · outbound

This paper cites Block Pruning For Faster Transformers.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Block Pruning For Faster Transformers

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.475418Z

Source-reported events for the cited work

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Observation 53f460a6-c475-454f-8a14-175e3d47424d · outbound

This paper cites T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.480170Z

Source-reported events for the cited work

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Observation 7112bad8-e6c6-40e5-8f09-8c2e5bcd269c · outbound

This paper cites Snap- fusion: Text-to-image diffusion model on mobile devices within two seconds.Advances in Neural Information Pro- cessing Systems, 36:20662–20678, 2023.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Snap- fusion: Text-to-image diffusion model on mobile devices within two seconds.Advances in Neural Information Pro- cessing Systems, 36:20662–20678, 2023

Reference 30

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Source-reported events for the cited work

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Observation 428af24a-063b-4889-90a0-928a7dcb2dc2 · outbound

This paper cites Evaluation of text-to-video generation models: A dy- namics perspective.Advances in Neural Information Pro- cessing Systems, 37:109790–109816, 2024.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Evaluation of text-to-video generation models: A dy- namics perspective.Advances in Neural Information Pro- cessing Systems, 37:109790–109816, 2024

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:36:14.181765Z

Source-reported events for the cited work

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Observation 0143b742-586e-4c9a-87d5-dde8964edb7b · outbound

This paper cites Evaluation of text-to-video generation models: A dy- namics perspective.Advances in Neural Information Pro- cessing Systems, 37:109790–109816, 2025.

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:36:14.165953Z

Source-reported events for the cited work

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Observation 09ae27cd-f644-4a37-9fd7-28533ce04417 · outbound

This paper cites AnimateDiff-Lightning: Cross-Model Diffusion Distillation.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion AnimateDiff-Lightning: Cross-Model Diffusion Distillation

Reference 33

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Observation 1a4f4e14-d71e-4f91-852e-95177a16d5bc · outbound

This paper cites SDXL-Lightning: Progressive Adversarial Diffusion Distillation.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion SDXL-Lightning: Progressive Adversarial Diffusion Distillation

Reference 35

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Observation 15e82785-5e46-4177-9137-2add6e89ec27 · outbound

This paper cites Improving Video Generation with Human Feedback.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Improving Video Generation with Human Feedback

Reference 36

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Source-reported events for the cited work

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Observation 224177d5-4bbd-4e69-92e5-da7163db341e · outbound

This paper cites VideoDPO: Omni-Preference Alignment for Video Diffusion Generation.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion VideoDPO: Omni-Preference Alignment for Video Diffusion Generation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.518047Z

Source-reported events for the cited work

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Observation 8644df19-b8ee-4525-84a2-f6004f9f61ba · outbound

This paper cites Learning efficient convolutional networks through network slimming.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Learning efficient convolutional networks through network slimming

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:36:14.150031Z

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Observation 4b856fd7-88d8-4400-897b-592296f9adef · outbound

This paper cites Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.529125Z

Source-reported events for the cited work

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Observation 047881ae-dfb9-4755-8ba6-63a507ef2769 · outbound

This paper cites Simpo: Sim- ple preference optimization with a reference-free reward.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Simpo: Sim- ple preference optimization with a reference-free reward

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:36:14.132285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b8568a7a-7c7a-4415-a747-250c11e0062a · outbound

This paper cites Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.539090Z

Source-reported events for the cited work

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Observation 21d0d155-60e5-48ab-a39d-f0c9fa3e647b · outbound

This paper cites Training language models to follow instructions with human feedback.Ad- vances in neural information processing systems, 35:27730– 27744, 2022.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Training language models to follow instructions with human feedback.Ad- vances in neural information processing systems, 35:27730– 27744, 2022

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.544259Z

Source-reported events for the cited work

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Observation 768872e6-31f0-40ef-831b-6e1710052e17 · outbound

This paper cites Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.548796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9943a228-dfc3-41de-94bb-f853bba5bb9f · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.553512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 005be49b-0c88-4989-9a92-846998f5448d · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.Advances in Neural Information Processing Systems, 36:53728–53741, 2023.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Direct preference optimization: Your language model is secretly a reward model.Advances in Neural Information Processing Systems, 36:53728–53741, 2023

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:36:14.103293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4db1fb50-de6b-458a-9aae-e8c32b57898e · outbound

This paper cites Refining Alignment Framework for Diffusion Models with Intermediate-Step Preference Ranking.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Refining Alignment Framework for Diffusion Models with Intermediate-Step Preference Ranking

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T04:36:13.562345Z

Source-reported events for the cited work

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Observation 5f578bf9-e756-4c76-bcb6-2acccb1009c5 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion High-resolution image synthesis with latent diffusion models

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:36:14.086300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0d6f56bd-f5fb-4a72-b4f2-b1bb09131135 · outbound

This paper cites - Excessive mentions of country names (distracts from motion evaluation).

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion - Excessive mentions of country names (distracts from motion evaluation)

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:36:14.069993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8a3bfad0-f598-462d-acda-1918389089e9 · outbound

This paper cites Visual Quality.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion Visual Quality

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:36:14.052190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8caaa602-5acd-4696-a3d8-8d0bc53a0de2 · outbound

This paper cites - Excessive mentions of country names (distracts evaluation).

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion - Excessive mentions of country names (distracts evaluation)

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:36:14.036093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fee566db-1d07-4e22-a929-90c94560f041 · outbound

This paper cites No mention of visual attributes like lighting, colors, resolution, or atmosphere.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion No mention of visual attributes like lighting, colors, resolution, or atmosphere

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:36:14.018941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

Observation 2ec9cb73-42d5-47d7-86af-6b9b3b68829d · inbound

Deep Image Clustering Based on Curriculum Learning and Density Information cites this paper.

Deep Image Clustering Based on Curriculum Learning and Density Information Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-14T00:03:28.574602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0f3e6d7a-1e6a-426f-b69f-83480d34a3ec · inbound

GEM: Generating LiDAR World Model via Deformable Mamba cites this paper.

GEM: Generating LiDAR World Model via Deformable Mamba Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:45:51.308753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1aa676fa-ca5f-47bd-a970-5e4f58673313 · inbound

B\'ezier Degradation Modeling for LiDAR-based Human Motion Capture cites this paper.

B\'ezier Degradation Modeling for LiDAR-based Human Motion Capture Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-20T06:53:05.774293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.