Paper Citation Record · LEDGER

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly

As of 17 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2505.00426.

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

pith.paper-citation-record.v1
2505.00426 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:48:50.632828Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:30:36.186369Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:30:36.905194Z

Reference resolution

37 of 37 outbound references displayed

verified exact0
verified fuzzy21
unresolved16
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc643ebd-1cc4-401b-a432-8deeac00fcd0 · outbound

This paper cites Label-Efficient Semantic Segmentation with Diffusion Models.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Label-Efficient Semantic Segmentation with Diffusion Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:49.856993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02c7e856-d282-418f-8d82-c7c183938628 · outbound

This paper cites Auto-assembly: a framework for automated robotic assembly directly from cad.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Auto-assembly: a framework for automated robotic assembly directly from cad

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:51.680369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 233a596f-72ae-49ff-8b45-dafe48039a0c · outbound

This paper cites Generative 3d part assembly via part-whole-hierarchy message passing.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Generative 3d part assembly via part-whole-hierarchy message passing

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:51.664350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a360cdc6-c9be-4a86-811e-5ce097f63149 · outbound

This paper cites Efficientdreamer: High-fidelity and robust 3d creation via orthogonal-view diffusion pri- ors.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Efficientdreamer: High-fidelity and robust 3d creation via orthogonal-view diffusion pri- ors

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:51.600236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ff6d669d-896a-4fc3-9a6b-0adf43dacae8 · outbound

This paper cites Assembly-based conceptual 3d modeling with unlabeled components using probabilistic factor graph.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Assembly-based conceptual 3d modeling with unlabeled components using probabilistic factor graph

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:51.524541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 15fa068f-626b-4292-bb38-e0ec4428ef3d · outbound

This paper cites DiffWave: A Versatile Diffusion Model for Audio Synthesis.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:50.139807Z

Source-reported events for the cited work

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Observation 3587a072-23f8-44f6-8e11-0121b00a3667 · outbound

This paper cites Your diffusion model is secretly a zero-shot classifier.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Your diffusion model is secretly a zero-shot classifier

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:51.505386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ec567287-ea3a-4f29-b029-85ba0ce8e581 · outbound

This paper cites Magic3d: High-resolution text-to-3d content creation.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Magic3d: High-resolution text-to-3d content creation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:51.484229Z

Source-reported events for the cited work

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Observation 07547233-e1ad-4851-9ef1-0d2d8325b5ef · outbound

This paper cites AudioLDM: Text-to-Audio Generation with Latent Diffusion Models.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly AudioLDM: Text-to-Audio Generation with Latent Diffusion Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:50.155152Z

Source-reported events for the cited work

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Observation 74f02038-c9ce-44f4-9101-cc1b02d0b2b5 · outbound

This paper cites One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimization.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:51.466330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c04561f4-649e-48cc-b27c-a6f06d291dd6 · outbound

This paper cites Diffusion probabilistic models for 3d point cloud generation.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Diffusion probabilistic models for 3d point cloud generation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:51.448425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cb76b12f-44ae-4e6a-863b-1e1db9189333 · outbound

This paper cites Partnet: A large-scale benchmark for fine-grained and hi- erarchical part-level 3d object understanding.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Partnet: A large-scale benchmark for fine-grained and hi- erarchical part-level 3d object understanding

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:51.431488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8c1493bf-e6d8-4fb7-bdc8-e5c99ab6fbbd · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 21

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Source-reported events for the cited work

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Observation 5c9da104-a1e2-4420-95bb-7c66205363b6 · outbound

This paper cites Scalable diffusion models with transformers.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Scalable diffusion models with transformers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:50.273779Z

Source-reported events for the cited work

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Observation 9e0d5a61-c2fa-428d-ac38-003e9484c651 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly DreamFusion: Text-to-3D using 2D Diffusion

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:50.279905Z

Source-reported events for the cited work

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Observation 0f4f9ede-93d8-4a1a-a6cc-85353d66c5a9 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language un- derstanding.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Photorealistic text-to-image diffusion models with deep language un- derstanding

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:50.285309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2aca4257-0c42-44bb-b347-fad7a15be0b6 · outbound

This paper cites Diffassemble: A unified graph-diffusion model for 2d and 3d reassembly.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Diffassemble: A unified graph-diffusion model for 2d and 3d reassembly

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:51.375723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 63fbced6-de25-4655-b4cd-c1bb507ae534 · outbound

This paper cites Breaking bad: A dataset for geometric fracture and reassembly.Advances in Neural Information Processing Systems, 35:38885–38898,.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Breaking bad: A dataset for geometric fracture and reassembly.Advances in Neural Information Processing Systems, 35:38885–38898,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:51.287849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fd106b33-f6fd-4b17-9703-b58b4b0f0624 · outbound

This paper cites MVDream: Multi-view Diffusion for 3D Generation.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly MVDream: Multi-view Diffusion for 3D Generation

Reference 27

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Source-reported events for the cited work

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Observation 8d30e116-f5c0-4399-bbea-c7e58eb66226 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Generative modeling by estimating gradients of the data distribution

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:50.306388Z

Source-reported events for the cited work

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Observation f6627fb7-546c-4ab2-a7a3-2a9d7813be4e · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Score-Based Generative Modeling through Stochastic Differential Equations

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:50.312053Z

Source-reported events for the cited work

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Observation 4287a929-d157-404c-b824-860424f8633c · outbound

This paper cites Com- plementme: Weakly-supervised component suggestions for 3d modeling.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Com- plementme: Weakly-supervised component suggestions for 3d modeling

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:51.130721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d5a9fb58-4fd0-4bda-ad5d-6d11fa6c570b · outbound

This paper cites Attention is all you need.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Attention is all you need

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:50.423756Z

Source-reported events for the cited work

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Observation 4d277c3b-4835-4c0e-883b-e414cd421e08 · outbound

This paper cites Fragmentdiff: A diffusion model for fractured object as- sembly.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Fragmentdiff: A diffusion model for fractured object as- sembly

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:51.079981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b45ad47d-cace-47bb-8562-34218ec3a939 · outbound

This paper cites Real-time tracking and pose estimation for industrial objects using geometric features.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Real-time tracking and pose estimation for industrial objects using geometric features

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:51.061049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9589bbc9-73b2-4205-9790-7c23d0072687 · outbound

This paper cites 3d part assembly gen- eration with instance encoded transformer.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly 3d part assembly gen- eration with instance encoded transformer

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:51.022752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7ce4e09c-70cd-4933-9837-fb876f055b92 · outbound

This paper cites Scalable geometric frac- ture assembly via co-creation space among assemblers.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Scalable geometric frac- ture assembly via co-creation space among assemblers

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:50.926541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 33418b12-906b-4ecc-b7c8-4fe7d740e653 · outbound

This paper cites Generative 3d part assembly via dynamic graph learn- ing.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Generative 3d part assembly via dynamic graph learn- ing

Reference 2003

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:51.043858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ba8dfe02-2468-41d6-bf6b-6c7432e7d3f6 · outbound

This paper cites Fantasia3d: Disentangling geometry and ap- pearance for high-quality text-to-3d content creation.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Fantasia3d: Disentangling geometry and ap- pearance for high-quality text-to-3d content creation

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:51.696418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8d344ee4-5a7d-45e9-b7de-5a71f5e25993 · outbound

This paper cites Diffusion Models for Open-Vocabulary Segmentation.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Diffusion Models for Open-Vocabulary Segmentation

Reference 2016

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Source-reported events for the cited work

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Observation 69f1647b-6032-43fd-bd76-75f819549b3e · outbound

This paper cites Diffuse attend and segment: Unsupervised zero-shot segmentation using stable diffusion.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Diffuse attend and segment: Unsupervised zero-shot segmentation using stable diffusion

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:51.110626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6b6054e8-a4f6-4117-944e-0c4318201c0f · outbound

This paper cites Rgl-net: A recurrent graph learning framework for progressive part assembly.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Rgl-net: A recurrent graph learning framework for progressive part assembly

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:51.414172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bc27b578-4500-4a83-abda-b273bbb75d46 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Imagen Video: High Definition Video Generation with Diffusion Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:50.118712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca7c344f-32d1-43c6-92c2-8929a98f7c3b · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly ShapeNet: An Information-Rich 3D Model Repository

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:49.863697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62f151c4-34cd-4c2e-881d-c83c001d0df5 · outbound

This paper cites Denoising diffusion probabilistic models.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Denoising diffusion probabilistic models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:50.094272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c44261f-b2bc-4a13-a851-12f9b96a5ae3 · outbound

This paper cites Score-PA: Score-based 3D Part Assembly.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Score-PA: Score-based 3D Part Assembly

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:49.876503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8e03667-047e-4bb4-ba0b-8a0864c3f639 · outbound

This paper cites Blocks assemble! learning to assemble with large-scale structured reinforcement learning.

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly Blocks assemble! learning to assemble with large-scale structured reinforcement learning

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:51.647668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 9ee74574-3030-40aa-96f4-f3a006b9984d · inbound

TCSinger 2: Customizable Multilingual Zero-shot Singing Voice Synthesis cites this paper.

TCSinger 2: Customizable Multilingual Zero-shot Singing Voice Synthesis Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:30:36.911286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.