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Paper Citation Record · LEDGER

Hierarchical Flow Matching for 3D Point Cloud Generation

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2608.05557.

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

pith.paper-citation-record.v1
2608.05557 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:00:53.186243Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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  • verified fuzzy27
  • unresolved15
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8061477a-a994-44d8-b523-ddcd717deaa6 · outbound

This paper cites Learning representations and generative models for 3d point clouds.

Hierarchical Flow Matching for 3D Point Cloud Generation Learning representations and generative models for 3d point clouds

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 45439fea-5e39-431d-9d15-9fa00b2d2128 · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Hierarchical Flow Matching for 3D Point Cloud Generation Building Normalizing Flows with Stochastic Interpolants

Reference 2

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Observation 9b4a2cab-b2d0-4125-85f9-1ea2a6f30d7c · outbound

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

Hierarchical Flow Matching for 3D Point Cloud Generation ShapeNet: An Information-Rich 3D Model Repository

Reference 3

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Observation 2b6d5edb-0763-4e92-a0c8-a37cf8f08a54 · outbound

This paper cites Pointgpt: Auto-regressively generative pre- training from point clouds.Advances in Neural Information Processing Systems, 36:29667–29679, 2023.

Hierarchical Flow Matching for 3D Point Cloud Generation Pointgpt: Auto-regressively generative pre- training from point clouds.Advances in Neural Information Processing Systems, 36:29667–29679, 2023

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d8dbce0d-2f0c-459e-969d-9c3d3a73a6bd · outbound

This paper cites Neural ordinary differential equa- tions.Advances in neural information processing systems, 31, 2018.

Hierarchical Flow Matching for 3D Point Cloud Generation Neural ordinary differential equa- tions.Advances in neural information processing systems, 31, 2018

Reference 5

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raw_fallback, observed 2026-08-08T11:00:53.796094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6447cd22-8150-44d7-8a39-3f0384c40f64 · outbound

This paper cites Autoregressive 3d shape generation via canon- ical mapping.

Hierarchical Flow Matching for 3D Point Cloud Generation Autoregressive 3d shape generation via canon- ical mapping

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0b8aafee-3c7a-453e-bc8c-ee491c9a3e46 · outbound

This paper cites NICE: Non-linear Independent Components Estimation.

Hierarchical Flow Matching for 3D Point Cloud Generation NICE: Non-linear Independent Components Estimation

Reference 7

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Observation 317f96cd-7547-48b3-a654-995b381b604e · outbound

This paper cites Density estimation using Real NVP.

Hierarchical Flow Matching for 3D Point Cloud Generation Density estimation using Real NVP

Reference 8

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Observation ca00389b-a710-4072-b55a-88b69ce8aab9 · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

Hierarchical Flow Matching for 3D Point Cloud Generation Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 9

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no resolver link, observed 2026-08-08T11:00:53.061962Z

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source=pdf_text observed=2026-08-08T11:00:53.061962Z digest=sha256:e16bcef7fb3fb6587bc7f5cd4236d964722dad876a0a03e1947437fdde6cdc8d

Observation 27f1a35d-0e06-41c5-b09f-3e5c4676011e · outbound

This paper cites Multires- olution tree networks for 3d point cloud processing.

Hierarchical Flow Matching for 3D Point Cloud Generation Multires- olution tree networks for 3d point cloud processing

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f6c33a81-fe22-482e-bbe4-c377344545e1 · outbound

This paper cites Get3d: A generative model of high quality 3d tex- tured shapes learned from images.Advances in neural infor- mation processing systems, 35:31841–31854, 2022.

Hierarchical Flow Matching for 3D Point Cloud Generation Get3d: A generative model of high quality 3d tex- tured shapes learned from images.Advances in neural infor- mation processing systems, 35:31841–31854, 2022

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d3768649-b412-438d-b73f-3c20860d498e · outbound

This paper cites FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models.

Hierarchical Flow Matching for 3D Point Cloud Generation FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models

Reference 12

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Source-reported events for the cited work

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Observation 89c981e1-9d3f-48ff-b4ab-70f344d543ce · outbound

This paper cites A papier-m ˆach´e ap- proach to learning 3d surface generation.

Hierarchical Flow Matching for 3D Point Cloud Generation A papier-m ˆach´e ap- proach to learning 3d surface generation

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e136294a-511c-48d9-a648-06e3573cd199 · outbound

This paper cites Not-so-optimal transport flows for 3d point cloud genera- tion.

Hierarchical Flow Matching for 3D Point Cloud Generation Not-so-optimal transport flows for 3d point cloud genera- tion

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-08T11:00:53.730709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 90cbd8eb-181b-4d81-8811-e76f0103a9b0 · outbound

This paper cites Softflow: Probabilis- tic framework for normalizing flow on manifolds.Advances in Neural Information Processing Systems, 33:16388–16397,.

Hierarchical Flow Matching for 3D Point Cloud Generation Softflow: Probabilis- tic framework for normalizing flow on manifolds.Advances in Neural Information Processing Systems, 33:16388–16397,

Reference 15

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 22fdb85b-992d-452a-83ac-c9efea0959f3 · outbound

This paper cites Setvae: Learning hierarchical composition for generative modeling of set-structured data.

Hierarchical Flow Matching for 3D Point Cloud Generation Setvae: Learning hierarchical composition for generative modeling of set-structured data

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-08T11:00:53.707661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 34516d68-67b8-42e2-9d2f-9e7a29bcb54f · outbound

This paper cites Auto-Encoding Variational Bayes.

Hierarchical Flow Matching for 3D Point Cloud Generation Auto-Encoding Variational Bayes

Reference 17

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Observation bb1b65f0-a04d-4d77-ab28-6fd32c3a1bc8 · outbound

This paper cites Glow: Generative flow with invertible 1x1 convolutions.Advances in neural information processing systems, 31, 2018.

Hierarchical Flow Matching for 3D Point Cloud Generation Glow: Generative flow with invertible 1x1 convolutions.Advances in neural information processing systems, 31, 2018

Reference 18

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raw_fallback, observed 2026-08-08T11:00:53.694752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2f1de0e6-7930-4817-9531-8c5f60da0d19 · outbound

This paper cites Discrete point flow networks for efficient point cloud generation.

Hierarchical Flow Matching for 3D Point Cloud Generation Discrete point flow networks for efficient point cloud generation

Reference 19

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raw_fallback, observed 2026-08-08T11:00:53.681701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a1716343-4b29-4416-b138-c0b871795128 · outbound

This paper cites Salad: Part-level latent diffusion for 3d shape gen- eration and manipulation.

Hierarchical Flow Matching for 3D Point Cloud Generation Salad: Part-level latent diffusion for 3d shape gen- eration and manipulation

Reference 20

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5af1ca11-b42b-406c-97a9-bad0a9db5552 · outbound

This paper cites Articflow: Gener- ative simulation of articulated mechanisms via flow match- ing.arXiv preprint arXiv:2511.17883, 2025.

Hierarchical Flow Matching for 3D Point Cloud Generation Articflow: Gener- ative simulation of articulated mechanisms via flow match- ing.arXiv preprint arXiv:2511.17883, 2025

Reference 21

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Observation e95a25f9-1c1f-49af-9dec-bdff7520a3ce · outbound

This paper cites Flow Matching for Generative Modeling.

Hierarchical Flow Matching for 3D Point Cloud Generation Flow Matching for Generative Modeling

Reference 22

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Observation 3ca1683b-c2db-4927-ba46-8ba5cd557ed2 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Hierarchical Flow Matching for 3D Point Cloud Generation Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 23

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Observation 8a18606b-58b3-4667-a3e6-d67282a3d930 · outbound

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

Hierarchical Flow Matching for 3D Point Cloud Generation Diffusion probabilistic models for 3d point cloud generation

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5261eaa5-63e1-4606-8cce-a74e5697fdbd · outbound

This paper cites Lt3sd: Latent trees for 3d scene diffusion.

Hierarchical Flow Matching for 3D Point Cloud Generation Lt3sd: Latent trees for 3d scene diffusion

Reference 25

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 88799c95-be22-4b71-ae56-d61592f17b7a · outbound

This paper cites Pointnsp: Au- toregressive 3d point cloud generation with next-scale level- of-detail prediction.

Hierarchical Flow Matching for 3D Point Cloud Generation Pointnsp: Au- toregressive 3d point cloud generation with next-scale level- of-detail prediction

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5e576cbb-34fb-4f2a-8113-63a337a34505 · outbound

This paper cites Dit-3d: Exploring plain diffusion transformers for 3d shape generation.Advances in neural information processing systems, 36:67960–67971,.

Hierarchical Flow Matching for 3D Point Cloud Generation Dit-3d: Exploring plain diffusion transformers for 3d shape generation.Advances in neural information processing systems, 36:67960–67971,

Reference 27

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Observation 59a8294d-a61e-4da7-a86a-ea1cf1793ef9 · outbound

This paper cites Mfm-point: Multi-scale flow matching for point cloud generation.arXiv preprint arXiv:2511.20041, 2025.

Hierarchical Flow Matching for 3D Point Cloud Generation Mfm-point: Multi-scale flow matching for point cloud generation.arXiv preprint arXiv:2511.20041, 2025

Reference 28

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verified exact
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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6d6c632b-8e4f-4c38-9bd3-8156ef3486fe · outbound

This paper cites Normalizing flows for probabilistic modeling and inference.

Hierarchical Flow Matching for 3D Point Cloud Generation Normalizing flows for probabilistic modeling and inference

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-08T11:00:53.614883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3ecc1365-ac1d-43f7-b57f-8ed3612250f4 · outbound

This paper cites Multisample Flow Matching: Straightening Flows with Minibatch Couplings.

Hierarchical Flow Matching for 3D Point Cloud Generation Multisample Flow Matching: Straightening Flows with Minibatch Couplings

Reference 30

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Source-reported events for the cited work

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Observation 3d776dd6-0d21-435e-9d29-9c39ada95902 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.Advances in neural information processing systems, 30, 2017.

Hierarchical Flow Matching for 3D Point Cloud Generation Pointnet++: Deep hierarchical feature learning on point sets in a metric space.Advances in neural information processing systems, 30, 2017

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-08T11:00:53.602771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 88f434ff-1809-456c-a49d-2fe4cff1cbd1 · outbound

This paper cites Tiger: Time-varying denoising model for 3d point cloud generation with diffusion process.

Hierarchical Flow Matching for 3D Point Cloud Generation Tiger: Time-varying denoising model for 3d point cloud generation with diffusion process

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-08T11:00:53.590786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5b808806-2e39-4cb5-925f-aa2e85daf056 · outbound

This paper cites Variational inference with normalizing flows.

Hierarchical Flow Matching for 3D Point Cloud Generation Variational inference with normalizing flows

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-08T11:00:53.578958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e298937c-4760-4d9c-89ab-19db4b6e6dd0 · outbound

This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport.

Hierarchical Flow Matching for 3D Point Cloud Generation Improving and generalizing flow-based generative models with minibatch optimal transport

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 081f2ed0-534c-491d-896b-02fdd3e614bc · outbound

This paper cites Lion: Latent point dif- fusion models for 3d shape generation.Advances in neural information processing systems, 35:10021–10039, 2022.

Hierarchical Flow Matching for 3D Point Cloud Generation Lion: Latent point dif- fusion models for 3d shape generation.Advances in neural information processing systems, 35:10021–10039, 2022

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:00:53.566794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation dcbbe07e-1ce6-433c-aa59-87a774a86fec · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Hierarchical Flow Matching for 3D Point Cloud Generation Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:00:53.554188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f8a148bd-da49-47dc-9351-01b7e197f833 · outbound

This paper cites Fast point cloud genera- tion with straight flows.

Hierarchical Flow Matching for 3D Point Cloud Generation Fast point cloud genera- tion with straight flows

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:00:53.541676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 940ae60e-21e9-4884-bdd3-9bc8285b2fa7 · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes.

Hierarchical Flow Matching for 3D Point Cloud Generation 3d shapenets: A deep representation for volumetric shapes

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:00:53.528925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4b056065-e0ee-4523-ad5e-58859f012175 · outbound

This paper cites Pointflow: 3d point cloud generation with continuous normalizing flows.

Hierarchical Flow Matching for 3D Point Cloud Generation Pointflow: 3d point cloud generation with continuous normalizing flows

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:00:53.515162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7e538108-2d75-411f-9af0-742c67d1e164 · outbound

This paper cites 3d shape generation and completion through point-voxel diffusion.

Hierarchical Flow Matching for 3D Point Cloud Generation 3d shape generation and completion through point-voxel diffusion

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:00:53.502647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cdee35db-6bd0-43b5-a519-a84375ad07ec · outbound

This paper cites The point velocity networkv θ consists of our proposed AdaptiveConditionLinear layers with 256 hidden units and Tanh activations.

Hierarchical Flow Matching for 3D Point Cloud Generation The point velocity networkv θ consists of our proposed AdaptiveConditionLinear layers with 256 hidden units and Tanh activations

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T11:00:53.490669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 946202ce-bdb5-43bb-8056-9091257fbb34 · outbound

This paper cites an unresolved cited work.

Hierarchical Flow Matching for 3D Point Cloud Generation Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-08T11:00:53.479085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e8057095-e689-420b-a1e4-d7c4f17ef684 · outbound

This paper cites an unresolved cited work.

Hierarchical Flow Matching for 3D Point Cloud Generation Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-08T11:00:53.468412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.