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Paper Citation Record · LEDGER

3D Shape Tokenization via Latent Flow Matching

As of 18 August 2026, this Paper Citation Record lists 100 of 126 outbound references and 6 inbound Pith citation observations for arXiv:2412.15618.

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

pith.paper-citation-record.v1
2412.15618 v3

Coverage vector

measured 100 of 126 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:23:35.827686Z

measured 106 of 106 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T22:24:37.183447Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T01:44:26.176571Z

Reference resolution

100 of 126 outbound references displayed

  • verified exact0
  • verified fuzzy32
  • unresolved68
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c4e4c853-6205-4bcb-8571-6d67e6a841b4 · outbound

This paper cites New project ( 10 ), n.d.

3D Shape Tokenization via Latent Flow Matching New project ( 10 ), n.d

Reference 1

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source=pdf_text observed=2026-08-11T11:23:33.420694Z digest=sha256:c3268bd3dc381ec1e636b0573efb8619733b8f94efa977b57057d5d458f19233

Observation 1423e470-5c1d-4dda-81a1-a18beaaed38b · outbound

This paper cites Building nor- malizing flows with stochastic interpolants.

3D Shape Tokenization via Latent Flow Matching Building nor- malizing flows with stochastic interpolants

Reference 2

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source=pdf_text observed=2026-08-11T11:23:33.504874Z digest=sha256:143dab3e0ccafb81f61ec371fe7852bf10429be1596d47cc03b7082c92fb3ed1

Observation f31d298e-49d4-4247-905a-f03e52a00d4f · outbound

This paper cites Gohome1, n.d.

3D Shape Tokenization via Latent Flow Matching Gohome1, n.d

Reference 3

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source=pdf_text observed=2026-08-11T11:23:33.511079Z digest=sha256:34eed7fbd26b7dcb2af7c6115b2a94bf39131d908a97406f71879df804f6b1e9

Observation 05997d20-3f15-4caf-bc45-aead6946e729 · outbound

This paper cites Red low-poly glowing mushroom, n.d.

3D Shape Tokenization via Latent Flow Matching Red low-poly glowing mushroom, n.d

Reference 4

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source=pdf_text observed=2026-08-11T11:23:33.515815Z digest=sha256:791d3a9e2256c8813f75629f2b30b36e385099aefbabdb17498a7d5257a97db6

Observation 6872cc06-d1c4-4c58-a346-522af992d121 · outbound

This paper cites 20 librero repisas, n.d.

3D Shape Tokenization via Latent Flow Matching 20 librero repisas, n.d

Reference 5

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source=pdf_text observed=2026-08-11T11:23:33.520562Z digest=sha256:3ac8247bd021e8f5fc334596a2089a6757c3d0e0bc413c5495a2346bffc881c1

Observation b2a6931f-e15b-407b-ba86-46c39ab35c0b · outbound

This paper cites Arkitscenes: A di- verse real-world dataset for 3d indoor scene understanding using mobile rgb-d data.

3D Shape Tokenization via Latent Flow Matching Arkitscenes: A di- verse real-world dataset for 3d indoor scene understanding using mobile rgb-d data

Reference 6

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source=pdf_text observed=2026-08-11T11:23:33.525037Z digest=sha256:1e8644a1dde5e366aace2cd6128170259e46d88575958a367e522ae9c34c3625

Observation e5eba6d6-c32d-4dfd-b4c5-5e38c4b366e6 · outbound

This paper cites Bennett graham bracelet 2, n.d.

3D Shape Tokenization via Latent Flow Matching Bennett graham bracelet 2, n.d

Reference 7

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Observation 96b6e0d5-0d64-4b1c-ae00-d6465beb2f47 · outbound

This paper cites Galactic truckstop restrooms, n.d.

3D Shape Tokenization via Latent Flow Matching Galactic truckstop restrooms, n.d

Reference 8

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source=pdf_text observed=2026-08-11T11:23:33.572739Z digest=sha256:fd8e5a378aea1f4387b156127dddcc29e486716b6d7f933998fb2c47bfa36f55

Observation 9c7951ad-b57b-4327-9fd8-ea035d81aefe · outbound

This paper cites Galactic truckstop restrooms, n.d.

3D Shape Tokenization via Latent Flow Matching Galactic truckstop restrooms, n.d

Reference 9

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Observation 19b51345-9a72-481c-84dd-515072f62c88 · outbound

This paper cites Simulation of clothing with folds and wrinkles.

3D Shape Tokenization via Latent Flow Matching Simulation of clothing with folds and wrinkles

Reference 10

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source=pdf_text observed=2026-08-11T11:23:33.738051Z digest=sha256:bacdbdcb575c7d51e7be154d51896e5e667b141456a0d580b5e401f8bec0bf49

Observation 6ddb7950-7d1c-457d-a74e-3b59a8087090 · outbound

This paper cites test fabric 1, n.d.

3D Shape Tokenization via Latent Flow Matching test fabric 1, n.d

Reference 11

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source=pdf_text observed=2026-08-11T11:23:33.778243Z digest=sha256:23a0c6105a19bfacfff618a740ff7b658315147b2d3db699dcebab317f25bf69

Observation d1f2e3a4-911d-4604-b473-00c6910d6667 · outbound

This paper cites Chang, T.

3D Shape Tokenization via Latent Flow Matching Chang, T

Reference 12

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source=pdf_text observed=2026-08-11T11:23:33.782981Z digest=sha256:e87806eb856ba86d9d6b470e24db0aca05b66a8f12092e0875ae23e5848547ba

Observation 8af348a8-ba35-4cd3-9b34-a468cccfcab7 · outbound

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

3D Shape Tokenization via Latent Flow Matching ShapeNet: An Information-Rich 3D Model Repository

Reference 13

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source=pdf_text observed=2026-08-11T11:23:33.788177Z digest=sha256:123a70edda838b39286fc28199ff93c63931e1dd87f243c2d7a629ed1300b8cd

Observation 43e3bbe8-65dd-4631-a7ef-d2e4bd499f91 · outbound

This paper cites Pointersect: Neural ren- dering with cloud-ray intersection.

3D Shape Tokenization via Latent Flow Matching Pointersect: Neural ren- dering with cloud-ray intersection

Reference 14

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source=pdf_text observed=2026-08-11T11:23:33.793800Z digest=sha256:797801a7274b248a085325eb19e296c6dcdc129c0976cb0a125c93ffc0e4a5dc

Observation 2e1addda-8215-48fe-9653-fa669a7d06a4 · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

3D Shape Tokenization via Latent Flow Matching PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 15

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source=pdf_text observed=2026-08-11T11:23:33.818574Z digest=sha256:8bd6601e549f83f31af13c9cc9181045366a7ba62ee42705eef9d03b62861d2f

Observation fd65caf9-102d-467b-b284-1b891c7da846 · outbound

This paper cites Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders.

3D Shape Tokenization via Latent Flow Matching Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders

Reference 16

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Observation 5417546a-f75f-4a3b-a4bd-64a026d9cfd6 · outbound

This paper cites Neural ordinary differential equa- tions.

3D Shape Tokenization via Latent Flow Matching Neural ordinary differential equa- tions

Reference 17

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Observation e12987a6-628a-49e7-a35a-d0b8464f99df · outbound

This paper cites an unresolved cited work.

3D Shape Tokenization via Latent Flow Matching Unresolved cited work

Reference 18

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source=pdf_text observed=2026-08-11T11:23:34.018585Z digest=sha256:73e9565a4d8c49d20e415960ba4cf1d984afd752f4700d5a115fc96fa1070c23

Observation cda122a7-9e5c-4d70-bd60-7a36eae3ae85 · outbound

This paper cites MeshXL: Neural Coordinate Field for Generative 3D Foundation Models.

3D Shape Tokenization via Latent Flow Matching MeshXL: Neural Coordinate Field for Generative 3D Foundation Models

Reference 19

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source=pdf_text observed=2026-08-11T11:23:34.023260Z digest=sha256:b035e580254e8117fb718558edb8576fbca7b0d3b5bf1afd8dca5170c5b76cf8

Observation 9e403f18-b92b-4636-9bc8-c38f38308274 · outbound

This paper cites Diffusion Autoencoders are Scalable Image Tokenizers.

3D Shape Tokenization via Latent Flow Matching Diffusion Autoencoders are Scalable Image Tokenizers

Reference 20

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source=pdf_text observed=2026-08-11T11:23:34.104214Z digest=sha256:1e69f25b6707bfd7173e33b5d125e05d7db2a5b1b52726cc97ae6107131f6bd9

Observation 0c83ff6e-5043-4c99-9670-cb2bf4b20358 · outbound

This paper cites Neural unsigned distance fields for implicit function learning.

3D Shape Tokenization via Latent Flow Matching Neural unsigned distance fields for implicit function learning

Reference 21

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source=pdf_text observed=2026-08-11T11:23:34.181463Z digest=sha256:2640c7b3075366b50bc7f7eab17c99878122101e1e1a83cc63e77433ee4e9165

Observation ab0858bc-a4e8-4747-8726-77d8995db617 · outbound

This paper cites Diffusion-sdf: Conditional generative modeling of signed distance func- tions.

3D Shape Tokenization via Latent Flow Matching Diffusion-sdf: Conditional generative modeling of signed distance func- tions

Reference 22

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source=pdf_text observed=2026-08-11T11:23:34.186528Z digest=sha256:5e5261e84fe0d0eb0a86a47648c3a0db43074b9f7c894a1fbed80b3bffc51fb9

Observation 80881ac1-56a2-4065-8935-b16fed1c7d04 · outbound

This paper cites Abo: Dataset and benchmarks for real-world 3d ob- ject understanding.

3D Shape Tokenization via Latent Flow Matching Abo: Dataset and benchmarks for real-world 3d ob- ject understanding

Reference 23

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source=pdf_text observed=2026-08-11T11:23:34.191212Z digest=sha256:5e53be0128546d5a1eb77f8e535fcee19554a94b506b6e4fa60dbfc2bdea3705

Observation 28ce8ba0-eeae-4605-9871-a80cddf66e70 · outbound

This paper cites Objaverse: A Universe of Annotated 3D Objects.

3D Shape Tokenization via Latent Flow Matching Objaverse: A Universe of Annotated 3D Objects

Reference 24

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Observation 2e2f2413-23d4-4e1c-b30d-8f50a0b56531 · outbound

This paper cites V oxel r-cnn: Towards high performance voxel-based 3d object detection.

3D Shape Tokenization via Latent Flow Matching V oxel r-cnn: Towards high performance voxel-based 3d object detection

Reference 25

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Observation 1e05600d-22e3-4c49-8a04-15f3ec6089ba · outbound

This paper cites Monk statue, n.d.

3D Shape Tokenization via Latent Flow Matching Monk statue, n.d

Reference 26

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Observation b3d48438-5ba6-4e57-b849-27b13a842ae4 · outbound

This paper cites Google scanned ob- jects: A high-quality dataset of 3d scanned household items.

3D Shape Tokenization via Latent Flow Matching Google scanned ob- jects: A high-quality dataset of 3d scanned household items

Reference 27

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Observation 7284c5d2-285b-426d-be42-a2007335ff53 · outbound

This paper cites Qseg isolation - single - full print, n.d.

3D Shape Tokenization via Latent Flow Matching Qseg isolation - single - full print, n.d

Reference 28

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Observation 23a533d7-e0a3-4e99-a7f9-c167259425cd · outbound

This paper cites Lyustra 2054-10p favourite, n.d.

3D Shape Tokenization via Latent Flow Matching Lyustra 2054-10p favourite, n.d

Reference 29

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source=pdf_text observed=2026-08-11T11:23:34.308901Z digest=sha256:28fd4ad035e1073f82709f4bec071b277d8713f33e9f45e332fb5454e52384a2

Observation 0a31c88a-8c99-443d-8bdb-8c49d7ffa2fc · outbound

This paper cites Svetilnik 3885/25la odeon light, n.d.

3D Shape Tokenization via Latent Flow Matching Svetilnik 3885/25la odeon light, n.d

Reference 30

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source=pdf_text observed=2026-08-11T11:23:34.418940Z digest=sha256:c6b377ba245523f94f551d2ba0ab9ef320f141211878ffac796de4cef0ac91c8

Observation c9e00925-6b2e-4e4e-b150-31df3f894468 · outbound

This paper cites 3d-future: 3d furniture shape with texture.

3D Shape Tokenization via Latent Flow Matching 3d-future: 3d furniture shape with texture

Reference 31

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source=pdf_text observed=2026-08-11T11:23:34.424321Z digest=sha256:27aba01dd5a0a50b4e5484f2549d75b1238c976e5bdba23394be2d0e5d6c0c57

Observation f2079b59-bd41-4608-9812-caf3659a776c · outbound

This paper cites Srini- vasan, Jonathan T.

3D Shape Tokenization via Latent Flow Matching Srini- vasan, Jonathan T

Reference 32

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Observation dd22b77e-7e69-4b3d-b69c-94080d27d0d3 · outbound

This paper cites Op220667, n.d.

3D Shape Tokenization via Latent Flow Matching Op220667, n.d

Reference 33

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source=pdf_text observed=2026-08-11T11:23:34.436252Z digest=sha256:d3bedc7817b5be7754cec596e648ceb2a53261d26f15a2733ddf1567cdba0083

Observation 2af58706-ac2f-4210-90e2-f6e53a98b130 · outbound

This paper cites Nonconvex rigid bodies with stacking.

3D Shape Tokenization via Latent Flow Matching Nonconvex rigid bodies with stacking

Reference 34

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source=pdf_text observed=2026-08-11T11:23:34.441358Z digest=sha256:4b1413ebe8d0460e0af65d0b4ba2e207d8a3865c6ec2f586c86991d2460abe80

Observation 086e82c8-8feb-4adb-b6d2-5dc45f344163 · outbound

This paper cites LRM: Large reconstruction model for single im- age to 3d.

3D Shape Tokenization via Latent Flow Matching LRM: Large reconstruction model for single im- age to 3d

Reference 35

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source=pdf_text observed=2026-08-11T11:23:34.445426Z digest=sha256:864f81fd8a82d188750c65af13a76f1b0dd735f60c478f2273fceb78c14dfa13

Observation dad20e06-df05-4bfc-a40f-5bc34cfdc07e · outbound

This paper cites Make-a-shape: a ten-million-scale 3d shape model.

3D Shape Tokenization via Latent Flow Matching Make-a-shape: a ten-million-scale 3d shape model

Reference 36

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Observation dba029a7-8a7b-41f6-b074-9ad4e929d4f2 · outbound

This paper cites Open- clip, 2021.

3D Shape Tokenization via Latent Flow Matching Open- clip, 2021

Reference 37

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source=pdf_text observed=2026-08-11T11:23:34.454307Z digest=sha256:a8a194dfa55a405e54cd3976e850ec770cdd5e899bb56e01d4793a0df33956e8

Observation 8044915c-3849-4631-811b-3fd803196120 · outbound

This paper cites Jaegle, S.

3D Shape Tokenization via Latent Flow Matching Jaegle, S

Reference 38

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source=pdf_text observed=2026-08-11T11:23:34.458064Z digest=sha256:7e45f3269f4d71dd3a3377fae1090d19c056fea7d0184105c935b59b69706223

Observation ca6dc641-8a1d-43a0-84fb-c50de217e243 · outbound

This paper cites Shap-E: Generating Conditional 3D Implicit Functions.

3D Shape Tokenization via Latent Flow Matching Shap-E: Generating Conditional 3D Implicit Functions

Reference 39

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source=pdf_text observed=2026-08-11T11:23:34.597162Z digest=sha256:893b11c07ff13140260de592375d0944470a529892e3928ce03482f8626ce74f

Observation 45fa2e4e-adc8-40a6-99fa-afaee2ee7ab9 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

3D Shape Tokenization via Latent Flow Matching Elucidating the design space of diffusion-based generative models

Reference 40

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source=pdf_text observed=2026-08-11T11:23:34.602101Z digest=sha256:49db230227d712c38839284e1eb605e0e2c0e6daf67ec5287783ff753baf1989

Observation 57bb9634-4bcf-4589-9c79-c8e3b085b5ef · outbound

This paper cites Screened poisson surface reconstruction.

3D Shape Tokenization via Latent Flow Matching Screened poisson surface reconstruction

Reference 41

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source=pdf_text observed=2026-08-11T11:23:34.606282Z digest=sha256:78b7c5d3769553dcc39fd773a795e3cc7840831acebbca168559960492bbb7d3

Observation 5dcb6b24-c68b-40ac-8b5d-ac75bb2f4478 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

3D Shape Tokenization via Latent Flow Matching 3d gaussian splatting for real-time radiance field rendering

Reference 42

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no resolver link, observed 2026-08-11T11:23:34.609895Z

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source=pdf_text observed=2026-08-11T11:23:34.609895Z digest=sha256:b67228a8785c84ed3e7218d1fbb42a1aaf4d1090f7dc70bedc4c6b72c9306c21

Observation 7032f592-aa7d-4333-9001-aded4c975066 · outbound

This paper cites 3d scene understanding by voxel-crf.

3D Shape Tokenization via Latent Flow Matching 3d scene understanding by voxel-crf

Reference 43

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no resolver link, observed 2026-08-11T11:23:34.614103Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T11:23:34.614103Z digest=sha256:bab27d26e4580243fd1a53830295687d3695e2e0bcb491e06fc08c5acd2d0e8b

Observation 391adf8b-b82e-45d1-a253-a343010bb475 · outbound

This paper cites Pulsar: Efficient sphere-based neural rendering.

3D Shape Tokenization via Latent Flow Matching Pulsar: Efficient sphere-based neural rendering

Reference 44

Resolution
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no resolver link, observed 2026-08-11T11:23:34.618309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:23:34.618309Z digest=sha256:159ddfa103a394f6039312780b406c37700ee879cdf4eab89c30c45fa6e32600

Observation 3c8a5a01-b43e-4a3c-aa98-89382bfce52c · outbound

This paper cites Point Cloud GAN.

3D Shape Tokenization via Latent Flow Matching Point Cloud GAN

Reference 45

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no resolver link, observed 2026-08-11T11:23:34.621682Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T11:23:34.621682Z digest=sha256:30ce714d05c2922e89deb2dc282707b09da329c987352271f236947dd61588a1

Observation ca57c6c0-4736-4c7d-8e39-9e2cdf561e93 · outbound

This paper cites Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model.

3D Shape Tokenization via Latent Flow Matching Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model

Reference 46

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no resolver link, observed 2026-08-11T11:23:34.659868Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T11:23:34.659868Z digest=sha256:43b668fa438ff26e5456cadedcb5e89530125f9093974a3156ff838a562c16f6

Observation 753b0e78-44fb-4cec-b190-c8053b5d0bd7 · outbound

This paper cites TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models.

3D Shape Tokenization via Latent Flow Matching TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models

Reference 47

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no resolver link, observed 2026-08-11T11:23:34.727151Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T11:23:34.727151Z digest=sha256:8876f8828f17fb03bfb8298668b053943a9ada6b9f819579f604f9af343a5ff4

Observation 46285e03-381b-46e2-aa41-b77a4219142d · outbound

This paper cites an unresolved cited work.

3D Shape Tokenization via Latent Flow Matching Unresolved cited work

Reference 48

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no resolver link, observed 2026-08-11T11:23:34.771994Z

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source=pdf_text observed=2026-08-11T11:23:34.771994Z digest=sha256:fe6797077d5cce4a92bc53f9ec272c58ae6e1e24206a524672cdd89f30ea46a1

Observation 92c03018-172f-44f6-802d-df99f27dd828 · outbound

This paper cites Openshape: Scaling up 3d shape representation towards open-world understanding.

3D Shape Tokenization via Latent Flow Matching Openshape: Scaling up 3d shape representation towards open-world understanding

Reference 49

Resolution
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no resolver link, observed 2026-08-11T11:23:34.777942Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T11:23:34.777942Z digest=sha256:2ac2f3584a839028e41e15685ab96ba6655ac9caea4c99ece35b931f2373eddd

Observation 5aea2730-0841-42f0-ab25-9c30650ae1e7 · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object.

3D Shape Tokenization via Latent Flow Matching Zero-1-to-3: Zero-shot one image to 3d object

Reference 50

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no resolver link, observed 2026-08-11T11:23:34.783031Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T11:23:34.783031Z digest=sha256:4723b345d8596d80939e2d5ebc5e6e796e5243657050456f828d7ae6e27f3c2f

Observation be072e41-9b3d-47ba-97c9-a76567a7586f · outbound

This paper cites Neudf: Leaning neural unsigned distance fields with volume rendering.

3D Shape Tokenization via Latent Flow Matching Neudf: Leaning neural unsigned distance fields with volume rendering

Reference 51

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no resolver link, observed 2026-08-11T11:23:34.787478Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T11:23:34.787478Z digest=sha256:ce6418c9c2a10fee0666322b4a9f419c65408d382370b85bd9e7f90b06f4ba3b

Observation 31457f51-8de2-441b-91cc-a0b20b562670 · outbound

This paper cites Point- voxel cnn for efficient 3d deep learning.Advances in Neural Information Processing Systems (NeurIPS), 32, 2019.

3D Shape Tokenization via Latent Flow Matching Point- voxel cnn for efficient 3d deep learning.Advances in Neural Information Processing Systems (NeurIPS), 32, 2019

Reference 52

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no resolver link, observed 2026-08-11T11:23:34.792158Z

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source=pdf_text observed=2026-08-11T11:23:34.792158Z digest=sha256:06587e835b65b9a9a49e8aec464f63ec5c1e89edc013e370511085a85241b524

Observation c58544e2-7fbc-403b-9878-7e715b3876a0 · outbound

This paper cites Decoupled Weight Decay Regularization.

3D Shape Tokenization via Latent Flow Matching Decoupled Weight Decay Regularization

Reference 53

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no resolver link, observed 2026-08-11T11:23:34.797037Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T11:23:34.797037Z digest=sha256:eb6ef3c3f5d92ebb256213735027684bfabb6d426cfb0eecb9d886b4f64bdc7e

Observation ab8ea6ff-60a2-4277-9ae4-96bd09de011a · outbound

This paper cites Decoupled weight de- cay regularization.

3D Shape Tokenization via Latent Flow Matching Decoupled weight de- cay regularization

Reference 54

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no resolver link, observed 2026-08-11T11:23:34.858556Z

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source=pdf_text observed=2026-08-11T11:23:34.858556Z digest=sha256:2d1659d745aec3059086e895f99ccc356972ea26cedc9859c36e72f7d1276e68

Observation eb457212-c6b1-434c-a428-6b6c80d98624 · outbound

This paper cites Luo and W.

3D Shape Tokenization via Latent Flow Matching Luo and W

Reference 55

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no resolver link, observed 2026-08-11T11:23:34.919307Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T11:23:34.919307Z digest=sha256:e13da28ae9fdd30077f056bac2c728717746ef5f4ca3feeaf51d956448eebcc0

Observation 3ec26226-8dae-4856-aae5-52da86f9da82 · outbound

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

3D Shape Tokenization via Latent Flow Matching Diffusion probabilistic models for 3d point cloud generation

Reference 56

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no resolver link, observed 2026-08-11T11:23:34.945661Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T11:23:34.945661Z digest=sha256:a8b398dd2874685f44cbe2698399c00d85c79e775c81758619d29368ad453c21

Observation ab6b7d41-41bc-4356-bfa3-acd9a530a175 · outbound

This paper cites SiT: Exploring flow and diffusion-based generative models with scalable interpolant transformers.

3D Shape Tokenization via Latent Flow Matching SiT: Exploring flow and diffusion-based generative models with scalable interpolant transformers

Reference 57

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no resolver link, observed 2026-08-11T11:23:34.950601Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T11:23:34.950601Z digest=sha256:0e9135f1013e6b17b4ff6708ba70df47f089cc1fc3c27ffd4fcade7ccf39a810

Observation 03b22456-4e10-4820-9c68-f60ff8cae301 · outbound

This paper cites domik-house, n.d.

3D Shape Tokenization via Latent Flow Matching domik-house, n.d

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:40.065677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:34.956483Z digest=sha256:fcd8603035312050c38cc3666534d6f66788aeba0b87e1c079e48358da9c1215

Observation 8a18f6c6-dfc8-4100-baf9-cbca9b64f616 · outbound

This paper cites Occupancy net- works: Learning 3d reconstruction in function space.

3D Shape Tokenization via Latent Flow Matching Occupancy net- works: Learning 3d reconstruction in function space

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:40.053536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:34.960854Z digest=sha256:8cf95ce93700c2c57b19ee12eabc39aab0ebe2b4f3272db1ed44b350915d87e9

Observation bd59ad0e-a0d5-44f8-9caf-090541b00c1f · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

3D Shape Tokenization via Latent Flow Matching Srinivasan, Matthew Tancik, Jonathan T

Reference 60

Resolution
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raw_fallback, observed 2026-08-11T11:23:40.041353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:34.965088Z digest=sha256:be426f8668a029d889fbf4ef8666c31587cc99349c9373c920704c712fe40707

Observation 7c2e2b9b-b444-4be2-bb86-20bce07a6ce9 · outbound

This paper cites AutoSDF: Shape priors for 3d completion, reconstruction and generation.

3D Shape Tokenization via Latent Flow Matching AutoSDF: Shape priors for 3d completion, reconstruction and generation

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:40.029013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:34.968792Z digest=sha256:120c263d8005631fcb6e7942e6ac50a625d634f0a9246e635f6abf4aea038e47

Observation 04b8119e-d9b6-49a7-889b-5b0614ef7301 · outbound

This paper cites Polygen: An autoregressive generative model of 3d meshes.

3D Shape Tokenization via Latent Flow Matching Polygen: An autoregressive generative model of 3d meshes

Reference 62

Resolution
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raw_fallback, observed 2026-08-11T11:23:40.013991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:34.973554Z digest=sha256:501c606fa2a7f5e700a5768ef79d3856dcde73f3eee65d7078031d03eb24f918

Observation 1abfdd09-dc35-4409-ab91-90ee077f2a7d · outbound

This paper cites Point-E: A System for Generating 3D Point Clouds from Complex Prompts.

3D Shape Tokenization via Latent Flow Matching Point-E: A System for Generating 3D Point Clouds from Complex Prompts

Reference 63

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T11:23:35.015034Z digest=sha256:1a8d90863bad55127c6ef38ab86b3df77c117ee995b0ddf62d11c2a3dee04b14

Observation 442c5a81-4e18-43c8-bd20-43bfa7fa8719 · outbound

This paper cites an unresolved cited work.

3D Shape Tokenization via Latent Flow Matching Unresolved cited work

Reference 64

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raw_fallback, observed 2026-08-11T11:23:40.000562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.071934Z digest=sha256:eec611e1fe47f90b5cbdc5aaf275335aac0fe9362107f975664ffbcdb771a0a2

Observation 2ed0af45-1b45-4def-9172-1f7f32d5919b · outbound

This paper cites Scalable diffusion mod- els with transformers.

3D Shape Tokenization via Latent Flow Matching Scalable diffusion mod- els with transformers

Reference 65

Resolution
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raw_fallback, observed 2026-08-11T11:23:39.986138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.077294Z digest=sha256:e5e2053ba41b0609c0fad8fcf2ebacad1cff881c667197a606065f3bd45df3a9

Observation 810d5421-ff81-4f36-8171-1252904c61a5 · outbound

This paper cites Convolutional occupancy networks.

3D Shape Tokenization via Latent Flow Matching Convolutional occupancy networks

Reference 66

Resolution
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raw_fallback, observed 2026-08-11T11:23:39.810024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.081734Z digest=sha256:4583947194d0ea78b59467b482c3edc30c3cdd6b82ad5a3cb8b77d568995a1cf

Observation 40bb5043-2745-4303-a711-a58f201409c5 · outbound

This paper cites an unresolved cited work.

3D Shape Tokenization via Latent Flow Matching Unresolved cited work

Reference 67

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raw_fallback, observed 2026-08-11T11:23:39.674413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.086989Z digest=sha256:8d09e0ae7cd1e9f611cc8da9f5960eeec073c44a9c70b0e2b0503f28a405be4c

Observation 1a0cfbf8-4909-42f0-9f12-cce9ff1b61ad · outbound

This paper cites Barron, and Ben Milden- hall.

3D Shape Tokenization via Latent Flow Matching Barron, and Ben Milden- hall

Reference 68

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raw_fallback, observed 2026-08-11T11:23:39.639582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.091120Z digest=sha256:c1674e65042c3ea6db61ce3befc1f67e9c7b4d60fb1fb1a505c7aaccb9e12628

Observation de681f66-527b-4f3a-a8ef-211188e7e5dd · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

3D Shape Tokenization via Latent Flow Matching Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:39.614130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.095409Z digest=sha256:8e9713139471de52d5247ac565d994c37a617302cb11a57009472ec9b0630ec0

Observation ce10e692-71fb-4a67-8903-f7b8450fce01 · outbound

This paper cites Habitat-matterport 3d dataset (hm3d): 1000 large-scale 3d environments for embodied ai.

3D Shape Tokenization via Latent Flow Matching Habitat-matterport 3d dataset (hm3d): 1000 large-scale 3d environments for embodied ai

Reference 70

Resolution
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raw_fallback, observed 2026-08-11T11:23:39.470840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.099791Z digest=sha256:89e53b05c48dfefb63abbde80c26b7212e579a96252c007ee0489636c0ba8cee

Observation e2d570e3-47de-4202-b0d9-2498cd91e036 · outbound

This paper cites Xcube: Large-scale 3d generative modeling using sparse voxel hierarchies.

3D Shape Tokenization via Latent Flow Matching Xcube: Large-scale 3d generative modeling using sparse voxel hierarchies

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:39.356091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.104161Z digest=sha256:33446eb9bb6ad3b5a438add7c033f3517d8fcf7c443b6fd656220731164f574d

Observation e26d99ea-f38a-4aec-bda4-c542418e9803 · outbound

This paper cites Early morning by the lake, n.d.

3D Shape Tokenization via Latent Flow Matching Early morning by the lake, n.d

Reference 72

Resolution
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raw_fallback, observed 2026-08-11T11:23:39.342047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.126593Z digest=sha256:e64005ed490a927569a96800dcdee2218249637c1f6b6c4122d213d4e250db7d

Observation 1520e38d-ae2b-4461-bac4-72e496cc7d67 · outbound

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

3D Shape Tokenization via Latent Flow Matching High-resolution image synthesis with latent diffusion models

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:39.328992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.176710Z digest=sha256:65edba5734172ca7034da4ec52c2a8cd0be31041c787599242fe9c2ea2f6bcc5

Observation e2f121ac-d1fb-479e-8c50-06fee24efebb · outbound

This paper cites MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models.

3D Shape Tokenization via Latent Flow Matching MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-11T11:23:35.186890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:23:35.186890Z digest=sha256:50fae76864ad4843aee3fd44ed972d07ff9f529c91426d5fda997f1f0f0465b2

Observation eb366821-1e2e-4b58-b944-9c1328887868 · outbound

This paper cites Pony, n.d.

3D Shape Tokenization via Latent Flow Matching Pony, n.d

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:39.254124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.191392Z digest=sha256:401f49d5cc8992322e8142883836e5ce834da778a373d99f883f1e88fc6c8507

Observation 4d207e1d-d9f5-4c22-9ad5-34c9f635e4e2 · outbound

This paper cites GLU Variants Improve Transformer.

3D Shape Tokenization via Latent Flow Matching GLU Variants Improve Transformer

Reference 76

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unresolved
no resolver link, observed 2026-08-11T11:23:35.195091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:23:35.195091Z digest=sha256:a1ae7292a9541e5b5c22c0b672df4414e56c1356fd2d397390786f57e8b403c0

Observation 05b974fb-abf8-4bab-aace-44dbb3ded315 · outbound

This paper cites Flexible isosur- face extraction for gradient-based mesh optimization.

3D Shape Tokenization via Latent Flow Matching Flexible isosur- face extraction for gradient-based mesh optimization

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:39.091631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.263305Z digest=sha256:5efc9a3946bf348b790b8cc2f430fcdd12fecf5b56b9048a48ef60b3d3403808

Observation 127d6a4d-1b27-4dd8-a3cb-429c0d9d5cb1 · outbound

This paper cites Meshgpt: Generating triangle meshes with decoder-only transformers.

3D Shape Tokenization via Latent Flow Matching Meshgpt: Generating triangle meshes with decoder-only transformers

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:39.078603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.375128Z digest=sha256:75daadd93c819c35e40c254cf5d390d1c43578c9c052c8aea67e36299aba567d

Observation 246be111-4a88-4b11-a0ec-ca582a2af02f · outbound

This paper cites Cali in the garden!, n.d.

3D Shape Tokenization via Latent Flow Matching Cali in the garden!, n.d

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:39.064693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.446365Z digest=sha256:04af55909c2fc89348acd450bcf8319e8a862fa6c9c1b6af46e0991f47ec4d1e

Observation 1333aeae-4c36-418c-98b0-c683292df326 · outbound

This paper cites Score- based generative modeling through stochastic differential equations.

3D Shape Tokenization via Latent Flow Matching Score- based generative modeling through stochastic differential equations

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:38.997077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.482272Z digest=sha256:42b0788ac1df35aafbea9a119c855b7d5d7a9db2174ac5c18071f165f6393922

Observation 67022a55-d2b7-4491-88b5-42c628e6aa74 · outbound

This paper cites Pointgrow: Autoregressively learned point cloud generation with self-attention.

3D Shape Tokenization via Latent Flow Matching Pointgrow: Autoregressively learned point cloud generation with self-attention

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:38.824688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.486449Z digest=sha256:1cd6b56c6b141f3c68fb8dede5a293d13f2afc5237435f4ca624fbc4d64cd407

Observation fbcd26ae-8c04-430b-a745-2045fdd22454 · outbound

This paper cites Splatter image: Ultra-fast single-view 3d recon- struction.

3D Shape Tokenization via Latent Flow Matching Splatter image: Ultra-fast single-view 3d recon- struction

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:38.812387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.491367Z digest=sha256:7f10d651009f3659bf2658c88ee3fcb40e6ad9a9b77c12dd1d52d43ba1790cc0

Observation 8d466d30-883f-40d1-b7b2-da3e6c3835d5 · outbound

This paper cites Lgm: Large multi-view 11 gaussian model for high-resolution 3d content creation.

3D Shape Tokenization via Latent Flow Matching Lgm: Large multi-view 11 gaussian model for high-resolution 3d content creation

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:38.798364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.495775Z digest=sha256:a1502bfc3171b5191aa3d7e6cfbe75116c239a382ef998e3e1bf1ac5b90307f3

Observation 83ee27dd-0fa5-4e5e-a6ab-2ffc73a8fc1c · outbound

This paper cites VolumeDiffusion: Flexible Text-to-3D Generation with Efficient Volumetric Encoder.

3D Shape Tokenization via Latent Flow Matching VolumeDiffusion: Flexible Text-to-3D Generation with Efficient Volumetric Encoder

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-11T11:23:35.499679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:23:35.499679Z digest=sha256:15cf4068d35eeb96c6d034994eee617a34dca1f530c158df33cc802647c5d5d5

Observation e9461371-87c1-448d-943e-7566f44d591b · outbound

This paper cites Tewari, J.

3D Shape Tokenization via Latent Flow Matching Tewari, J

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:38.727241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.504170Z digest=sha256:fff8776122a8d430265189f4b2d764aeeb86c669bd0e84e4335dd0b45ec04ac4

Observation bf6a4a89-0760-4c0b-967a-76d8939fdc43 · outbound

This paper cites Lion: Latent point dif- fusion models for 3d shape generation.

3D Shape Tokenization via Latent Flow Matching Lion: Latent point dif- fusion models for 3d shape generation

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:38.541283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.507731Z digest=sha256:b3fe8af7cef1378c4c535e79bf6ea87d5b2699da85c1ffd12484c0125e77b53d

Observation d55ef85f-df8e-4d9e-b46a-90d54e7b8023 · outbound

This paper cites Lion: Latent point dif- fusion models for 3d shape generation.

3D Shape Tokenization via Latent Flow Matching Lion: Latent point dif- fusion models for 3d shape generation

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:38.529132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.511512Z digest=sha256:7de953e305abde3d23d6dc032e01f6086955bd710e424fa842bcea226895ecc4

Observation 184f56f6-89e2-4a82-bba2-a0bc9f4e232b · outbound

This paper cites Attention is All You Need.

3D Shape Tokenization via Latent Flow Matching Attention is All You Need

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:38.514687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.515406Z digest=sha256:484f9ec4d6ae09dabade1a3e0632e2633ec00f27d714738054a5411ecfaef2c2

Observation 8640804e-1e61-46dc-95aa-c9d9289d227a · outbound

This paper cites Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer.

3D Shape Tokenization via Latent Flow Matching Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-11T11:23:35.519957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:23:35.519957Z digest=sha256:fd5d76d62eedc2c745e06bfeeff8c49152b34f4b836325330f66d2368fe12fa2

Observation b1701281-7579-4a7c-bc5e-1e9880c01c77 · outbound

This paper cites Structured 3D Latents for Scalable and Versatile 3D Generation.

3D Shape Tokenization via Latent Flow Matching Structured 3D Latents for Scalable and Versatile 3D Generation

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-11T11:23:35.524542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:23:35.524542Z digest=sha256:9ccb96902245dbdca332d519935bf76f118b846e5029b14cdbf47231b0f2bf03

Observation 18b7b3f9-37cd-4a1e-b4a7-f445cfd10341 · outbound

This paper cites an unresolved cited work.

3D Shape Tokenization via Latent Flow Matching Unresolved cited work

Reference 91

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:23:38.393259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.594739Z digest=sha256:68408e2c9cc6a4c987d61522f9b05fd0e0343464aa2c127fa2a911433389ab8e

Observation b52ea120-19b0-4c9f-8823-a5668a9644f4 · outbound

This paper cites GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation.

3D Shape Tokenization via Latent Flow Matching GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-11T11:23:35.734846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:23:35.734846Z digest=sha256:164a1d9ca482991869f665c68eb78e97d759052b31e5812a0122626ae77d80d9

Observation 9a8261de-48b2-4675-ba0c-429c9c5416b1 · outbound

This paper cites DMV3d: Denoising multi-view diffusion using 3d large reconstruction model.

3D Shape Tokenization via Latent Flow Matching DMV3d: Denoising multi-view diffusion using 3d large reconstruction model

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:38.248094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.798928Z digest=sha256:5a1fd35247034a6065336a921629d962c8433f0f813941af75d74723c61466c9

Observation 3a2256ba-e82f-419c-9be1-9bb75ce24a54 · outbound

This paper cites Ulip: Learning a unified representation of language, images, and point clouds for 3d understand- ing.

3D Shape Tokenization via Latent Flow Matching Ulip: Learning a unified representation of language, images, and point clouds for 3d understand- ing

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:38.234445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.803121Z digest=sha256:f0d1897a2c05e613a5f2b3cffddeccc41d5866011d12e87fa35f1e6d27799403

Observation 5fde9883-9f53-4d28-814e-8bdcbda5c654 · outbound

This paper cites Ulip-2: Towards scal- able multimodal pre-training for 3d understanding.

3D Shape Tokenization via Latent Flow Matching Ulip-2: Towards scal- able multimodal pre-training for 3d understanding

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:38.219570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.806896Z digest=sha256:ab2dfbe740bf2d752cd676fbe6822b910081311467bd3838757df146f6733039

Observation 0393e205-1d14-4868-8bab-365ec1dd7c49 · outbound

This paper cites PointFlow: 3D point cloud generation with continuous normalizing flows.

3D Shape Tokenization via Latent Flow Matching PointFlow: 3D point cloud generation with continuous normalizing flows

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:38.202442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.810768Z digest=sha256:6f03ae1f2b6b30f98afa1dc476d2e76ade2f0709df788e2a534d451d31ff5340

Observation dad6c60f-a995-4122-93fd-09b196058e72 · outbound

This paper cites Pandora3D: A Comprehensive Framework for High-Quality 3D Shape and Texture Generation.

3D Shape Tokenization via Latent Flow Matching Pandora3D: A Comprehensive Framework for High-Quality 3D Shape and Texture Generation

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-11T11:23:35.814669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:23:35.814669Z digest=sha256:065e12bcd71cd3554425ba6fdd7c47cfbed0c406aa17f7d656a0aa976ca1f6c1

Observation 318a20bf-0e9f-4cf1-a869-947b549d8f98 · outbound

This paper cites Mosaic-sdf for 3d generative models.

3D Shape Tokenization via Latent Flow Matching Mosaic-sdf for 3d generative models

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:38.185311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.819176Z digest=sha256:546c33f512f9de2fb344039c23bd7a886f9a8978cb721d67d6154da0c37c8559

Observation 082ced01-366e-4578-8787-ff6c92addef1 · outbound

This paper cites 3dilg: Irregular latent grids for 3d generative modeling.

3D Shape Tokenization via Latent Flow Matching 3dilg: Irregular latent grids for 3d generative modeling

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:38.003309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.823501Z digest=sha256:4b9e67989be6e0382af49b8ba25a696367797fa4a089ea35ecc3252ab15441fb

Observation 6a780612-1098-49fd-9619-ee3f0243ef2c · outbound

This paper cites 3dshape2vecset: A 3d shape representation for neural fields and generative diffusion models.

3D Shape Tokenization via Latent Flow Matching 3dshape2vecset: A 3d shape representation for neural fields and generative diffusion models

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:23:37.858123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T11:23:35.827686Z digest=sha256:108d198298d5192e1dc8d81cce7fec4911fa910f6955b8b803c655fa9ae7afdf

Pith citing papers

Observation d3f9e035-5ba2-4a76-b6c3-7f500663f330 · inbound

VesselTok: Tokenizing Vessel-like 3D Biomedical Graph Representations for Reconstruction and Generation cites this paper.

VesselTok: Tokenizing Vessel-like 3D Biomedical Graph Representations for Reconstruction and Generation 3D Shape Tokenization via Latent Flow Matching

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-13T22:24:37.183447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T22:24:37.183447Z digest=sha256:f0711422c9c89ad4d923a3d0f59a0935b7fcb793ad947951be9033e5c7e23d60

Observation cd1f929f-0f04-421f-bdb8-ba588f7b9776 · inbound

Towards Realistic and Consistent Orbital Video Generation via 3D Foundation Priors cites this paper.

Towards Realistic and Consistent Orbital Video Generation via 3D Foundation Priors 3D Shape Tokenization via Latent Flow Matching

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:31:01.686528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T14:50:20.837112Z digest=sha256:282e3c5a3a0f5c4f623fe40c5b0b3e7c1df835c157bb5d239984f2aa784e4955

Observation 2d4211cc-21fc-414c-81af-4a22e36e11c8 · inbound

Generative Modeling with Orbit-Space Particle Flow Matching cites this paper.

Generative Modeling with Orbit-Space Particle Flow Matching 3D Shape Tokenization via Latent Flow Matching

Reference 111

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:56:14.536432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T02:16:13.282275Z digest=sha256:55ab5f97902ba8cf315b1c941e856fae1a4a54550c2c819968e6298d23e28ab4

Observation 241972a9-32b7-4f9a-8d18-6a23da5deec4 · inbound

Generative 3D Gaussians with Learned Density Control cites this paper.

Generative 3D Gaussians with Learned Density Control 3D Shape Tokenization via Latent Flow Matching

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:33:48.309021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-20T22:32:45.251599Z digest=sha256:6bd7952df0f417dcff686dde2dda55e9b213d61c622706a91b186c1ad672e256

Observation a98156b1-159a-4998-acfe-732f46633886 · inbound

DynaTok: Token-Based 4D Reconstruction from Partial Point Clouds cites this paper.

DynaTok: Token-Based 4D Reconstruction from Partial Point Clouds 3D Shape Tokenization via Latent Flow Matching

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T10:48:02.553386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T09:50:09.378585Z digest=sha256:5cb9925085fb08af158f7a66f9409c70667d5b57bad1567a547104bdfb8de6f0

Observation a6e25a22-da92-45d7-b022-89cd32bc0db7 · inbound

ELSA3D: Elastic Semantic Anchoring for Unified 3D Understanding and Generation cites this paper.

ELSA3D: Elastic Semantic Anchoring for Unified 3D Understanding and Generation 3D Shape Tokenization via Latent Flow Matching

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-08T01:44:26.178320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-08T01:40:40.690020Z digest=sha256:31c379da266b4431d336fbf69c545c2d9fd2d7fde1506df1968280c409cccc2b