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Paper Citation Record · LEDGER

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery

As of 9 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2506.09063.

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

pith.paper-citation-record.v1
2506.09063 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:57:47.962069Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

49 of 49 outbound references displayed

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External citation measurements

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Outbound references

Observation abadd8bf-9bf8-402e-bef1-d342547c046f · outbound

This paper cites K-Means++: The advantages of careful seeding.Proc.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery K-Means++: The advantages of careful seeding.Proc

Reference 1

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Observation b0543165-a5eb-4cc0-acff-f71847ff5147 · outbound

This paper cites Per- Gaussian embedding-based deformation for deformable 3d Gaussian splatting.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Per- Gaussian embedding-based deformation for deformable 3d Gaussian splatting

Reference 2

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Observation 16257682-0622-42cd-a41b-a209feb3cf8e · outbound

This paper cites Building proteins in a day: Efficient 3d molecular reconstruction.Proc IEEE Conf.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Building proteins in a day: Efficient 3d molecular reconstruction.Proc IEEE Conf

Reference 3

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Observation c25123ff-b6fb-40f2-9430-8a5329276977 · outbound

This paper cites Deep learning-based mixed-dimensional Gaussian mixture model for characterizing variability in cryo-EM.Nature Methods, 18(8):930–936, 2021.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Deep learning-based mixed-dimensional Gaussian mixture model for characterizing variability in cryo-EM.Nature Methods, 18(8):930–936, 2021

Reference 4

Resolution
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Source-reported events for the cited work

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Observation b72ada61-fc82-4a02-b9f0-9b89b1c0cb53 · outbound

This paper cites Schmid, and Wah Chiu.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Schmid, and Wah Chiu

Reference 5

Resolution
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Observation d23b7979-c180-4418-8838-7ffc16645481 · outbound

This paper cites Integrating molecular models into cryoem heterogeneity analysis using scalable high-resolution deep Gaussian mixture models.Journal of Molecular Biology, 435(9):168014, 2023.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Integrating molecular models into cryoem heterogeneity analysis using scalable high-resolution deep Gaussian mixture models.Journal of Molecular Biology, 435(9):168014, 2023

Reference 6

Resolution
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Observation 45262af2-208c-48e8-85d2-087917405178 · outbound

This paper cites Modular assembly of the bacterial large ribosomal subunit.Cell, 167(6):1610–1622,.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Modular assembly of the bacterial large ribosomal subunit.Cell, 167(6):1610–1622,

Reference 7

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Source-reported events for the cited work

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Observation 8ce4294b-4fa7-4351-938d-50bdc7cd7944 · outbound

This paper cites V olume rendering.ACM SIGGRAPH, 22(4):65–74, 1988.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery V olume rendering.ACM SIGGRAPH, 22(4):65–74, 1988

Reference 8

Resolution
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Source-reported events for the cited work

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Observation f91dd33a-9ebb-4699-a66b-566645f61ee4 · outbound

This paper cites Frank and L.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Frank and L

Reference 9

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Source-reported events for the cited work

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Observation 5ac6495a-c608-462b-93e2-50d928400350 · outbound

This paper cites Cryo-EM heterogeneity analysis using regularized covari- ance estimation and kernel regression.Proc.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Cryo-EM heterogeneity analysis using regularized covari- ance estimation and kernel regression.Proc

Reference 10

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Observation e6abdfe3-67cc-4a27-80c1-f05c73d55600 · outbound

This paper cites Sugar: Surface-aligned Gaussian splatting for efficient 3D mesh reconstruction and high-quality mesh rendering.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Sugar: Surface-aligned Gaussian splatting for efficient 3D mesh reconstruction and high-quality mesh rendering

Reference 11

Resolution
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Source-reported events for the cited work

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Observation 3c4064b7-129f-4c9f-ba27-d541c40b9f90 · outbound

This paper cites Harauz and M.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Harauz and M

Reference 12

Resolution
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Source-reported events for the cited work

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Observation 907af6ee-91f0-4747-a2e1-70f08f8730b2 · outbound

This paper cites Estimating confor- mational landscapes from cryo-em particles by 3d zernike polynomials.Nature Communications, 14(1):154, 2023.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Estimating confor- mational landscapes from cryo-em particles by 3d zernike polynomials.Nature Communications, 14(1):154, 2023

Reference 13

Resolution
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Source-reported events for the cited work

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Observation 86d4030a-0199-4814-958c-57b1041224aa · outbound

This paper cites High-resolution real-space reconstruction of cryo-em structures using a neural field network.Nature Machine Intelligence, 6:892–903, 2024.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery High-resolution real-space reconstruction of cryo-em structures using a neural field network.Nature Machine Intelligence, 6:892–903, 2024

Reference 14

Resolution
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Source-reported events for the cited work

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Observation fcd03008-9ce4-47f2-845e-c2957f97dcdd · outbound

This paper cites Hanson, Pilar Cossio, and Ellen D.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Hanson, Pilar Cossio, and Ellen D

Reference 15

Resolution
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Source-reported events for the cited work

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Observation dfc07691-39c1-4967-90e9-2b88180f2acf · outbound

This paper cites 3D Gaus- sian splatting for real-time radiance field rendering.ACM Transactions on Graphics (Proc.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery 3D Gaus- sian splatting for real-time radiance field rendering.ACM Transactions on Graphics (Proc

Reference 16

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Observation 37777e1d-af7c-4ece-8826-62ad42a17006 · outbound

This paper cites 3D Gaussian splatting as Markov chain Monte Carlo.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery 3D Gaussian splatting as Markov chain Monte Carlo

Reference 17

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Observation bf79cfc3-2cf1-4127-a866-145df0e75659 · outbound

This paper cites The Resolution Revolution: Advances in detector technology and image processing are yielding high-resolution electron cryo-microscopy structures of biomolecules.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery The Resolution Revolution: Advances in detector technology and image processing are yielding high-resolution electron cryo-microscopy structures of biomolecules

Reference 18

Resolution
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Observation 9afb4e25-6011-49dc-a38b-b2fb1f90e443 · outbound

This paper cites Revealing biomolecular structure and motion with neural ab initio cryo-em reconstruction.bioRxiv, 2024.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Revealing biomolecular structure and motion with neural ab initio cryo-em reconstruction.bioRxiv, 2024

Reference 19

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Observation bbfa2f13-1743-4b57-9a59-0ebc36ebd11a · outbound

This paper cites Amortized inference for heterogeneous reconstruction in cryo-EM.Advances in Neural Information Processing Systems, 35:13038–13049, 2022.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Amortized inference for heterogeneous reconstruction in cryo-EM.Advances in Neural Information Processing Systems, 35:13038–13049, 2022

Reference 20

Resolution
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Observation 56a1ab94-68b1-4b57-a1df-a184f4f797d7 · outbound

This paper cites Scaffold- gs: Structured 3d Gaussians for view-adaptive rendering.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Scaffold- gs: Structured 3d Gaussians for view-adaptive rendering

Reference 21

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Observation 9e25c902-42e3-4d3a-ace5-4fc667f592e6 · outbound

This paper cites Dynamic 3D Gaussians: Tracking by persistent dynamic view synthesis.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Dynamic 3D Gaussians: Tracking by persistent dynamic view synthesis

Reference 22

Resolution
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Observation e13ecc8c-1f97-42d1-ad43-16616bc916ad · outbound

This paper cites Optical models for direct volume rendering.IEEE Trans.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Optical models for direct volume rendering.IEEE Trans

Reference 23

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Observation 5a7067ec-c6be-4a83-9607-28f2508cf1ab · outbound

This paper cites NERF: Representing scenes as neural radiance fields for view synthesis.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery NERF: Representing scenes as neural radiance fields for view synthesis

Reference 24

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Observation 8a2ec6cd-fdcf-4558-803a-779cb7425795 · outbound

This paper cites Multi-body refinement of cryo-em images in relion.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Multi-body refinement of cryo-em images in relion

Reference 25

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This paper cites Deepsdf: Learning continuous signed distance functions for shape representation.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Deepsdf: Learning continuous signed distance functions for shape representation

Reference 26

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Observation 27e2fa94-eec6-4fe2-9a40-2f607c8a07b2 · outbound

This paper cites Nerfies: Deformable neural radiance fields.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Nerfies: Deformable neural radiance fields

Reference 27

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Observation 3d597140-630d-426c-9d63-6185132c9350 · outbound

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Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Unresolved cited work

Reference 28

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Observation 83f8d7a4-fa93-495f-8fa5-b064dd371144 · outbound

This paper cites Ucsf chimerax: Structure visualization for researchers, educators, and developers.Protein science, 30(1):70–82, 2021.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Ucsf chimerax: Structure visualization for researchers, educators, and developers.Protein science, 30(1):70–82, 2021

Reference 29

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Source-reported events for the cited work

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Observation b5fbc4b8-aa75-4f8a-babb-8d215c8d3d5a · outbound

This paper cites Structure of a pre-catalytic spliceosome.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Structure of a pre-catalytic spliceosome

Reference 30

Resolution
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Source-reported events for the cited work

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Observation b48842ca-d5ad-4def-84b0-cdf77f2af01c · outbound

This paper cites D-nerf: Neural radiance fields for dynamic scenes.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery D-nerf: Neural radiance fields for dynamic scenes

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a94f3b63-d46a-4ed0-9fcb-87f1ba8e33ea · outbound

This paper cites 3D Variability Analysis: Directly resolving continuous flexibility and discreteheterogeneity from single particle cryo-EM images.Journal of Structural Biology, 213:107702, 2021.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery 3D Variability Analysis: Directly resolving continuous flexibility and discreteheterogeneity from single particle cryo-EM images.Journal of Structural Biology, 213:107702, 2021

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:57:47.891952Z digest=sha256:98d9c9f2a9b5a44d3a5d009d26e7ad828a55d3f7e7710aee57f2e3cb99d7e819

Observation 0eed0d32-850b-4f43-8d46-5a3b5b20cf91 · outbound

This paper cites 3DFlex: Determining structure and motion of flexible proteins from cryo-em.Nature Methods, 20:860–870, 2023.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery 3DFlex: Determining structure and motion of flexible proteins from cryo-em.Nature Methods, 20:860–870, 2023

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:48.222320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:57:47.895737Z digest=sha256:7ee970aded55f96e5ef77ef03d6538147027ed21b299d6cc68c77eff2a87cb8c

Observation d3cdd3aa-bfb5-45ee-928f-bfb03b28951d · outbound

This paper cites CryoSPARC: Algorithms for rapid unsupervised cryo-em structure determination.Nature Methods, 14:290–296, 2017.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery CryoSPARC: Algorithms for rapid unsupervised cryo-em structure determination.Nature Methods, 14:290–296, 2017

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:48.208982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:57:47.899798Z digest=sha256:e621f5cf46879a7ecf9bf9ae596822602eba40582dd24e06502365235ac739a9

Observation 72a2f368-0290-44b3-95b2-2a7b7137432d · outbound

This paper cites Cryo-em captures early ribosome assembly in action.Nature Communications, 14(1):898, 2023.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Cryo-em captures early ribosome assembly in action.Nature Communications, 14(1):898, 2023

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:48.195758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:57:47.903678Z digest=sha256:0580da2b4668fe976b06ad2ff445770cd56650d59c10ad61a3c3a20ff79f3545

Observation 58dc1b99-1ee7-4333-aa09-c4fee8622ebf · outbound

This paper cites an unresolved cited work.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:57:48.182537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:57:47.907506Z digest=sha256:914e4314054cfb1dd022f5d25da7f0121b3dba273aeb8d70c589b65654fdb2e7

Observation 47def44c-d25e-4a9d-b16c-b56acdb9304f · outbound

This paper cites an unresolved cited work.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:57:48.169254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:57:47.911690Z digest=sha256:1ddb8391acd55a776bb67f5f0e764cef26ff776c28519c7ae23556ddda12ee7e

Observation 37a2823f-a280-46a2-8d71-9c04988d0cb3 · outbound

This paper cites Processing of structurally heterogeneous cryo-em data in RELION.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Processing of structurally heterogeneous cryo-em data in RELION

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:48.156245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:57:47.915616Z digest=sha256:97f59dabc466534ea5a87ab2f7426605ac158a205e3a58ca54e569c7cfb1c3f8

Observation 5ccc5a55-29b2-4e6b-890e-6c9f77c67d39 · outbound

This paper cites Disentangling conformational states of macromolecules in 3D-EM through likelihood optimization.Nature Methods, 4(1):27–29, 2007.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Disentangling conformational states of macromolecules in 3D-EM through likelihood optimization.Nature Methods, 4(1):27–29, 2007

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:48.142324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:57:47.919573Z digest=sha256:9f26805efae6c248b815f6428df25632915667ec9c888d17091b3a86648d9354

Observation d9a420b6-39d5-4b08-b4fd-baaa11197c9f · outbound

This paper cites an unresolved cited work.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:57:48.128645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:57:47.923432Z digest=sha256:e224ad6faddda83cbe47fe94d899f9da51e63be8ff3cd4702260804a3e570677

Observation ed1eaaac-a131-405e-8c0e-114a307b86ee · outbound

This paper cites Computational methods for single-particle electron cryomi- croscopy.Annual review of biomedical data science, 3(1):163–190, 2020.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Computational methods for single-particle electron cryomi- croscopy.Annual review of biomedical data science, 3(1):163–190, 2020

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:48.115707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:57:47.927313Z digest=sha256:dc3470725851bf9c9dd6c0bbf470ea9087e65dea3c7ed51e91c5fa296a297e6d

Observation 0b3a7cd1-7a3e-4c39-ad05-c4ae9f1ce083 · outbound

This paper cites Unser, B.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Unser, B

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:48.101741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:57:47.931206Z digest=sha256:8542dd0298ba2314e0ccaf12148ca5f213d5b146deb8db3e5a370c351cd3f48a

Observation 3b3514a7-4226-497f-8707-747cd0a959c9 · outbound

This paper cites Fourier shell correlation threshold criteria.Journal of structural biology, 151(3):250–262, 2005.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Fourier shell correlation threshold criteria.Journal of structural biology, 151(3):250–262, 2005

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:48.087161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:57:47.935257Z digest=sha256:ce30469a6b5330a97732a3198162361a3d567f365cf2d06a7837e2b102bd355a

Observation 2c3811a7-e5d9-4002-9274-1e71d5881516 · outbound

This paper cites 4D Gaussian splatting for real-time dynamic scene rendering.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery 4D Gaussian splatting for real-time dynamic scene rendering

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:48.072679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:57:47.939348Z digest=sha256:16ad9be3c626b380544d0802762324342ec7f54587a65823ece9918f1271bb2a

Observation 52051960-c04f-43cf-a1c6-9872b0669bee · outbound

This paper cites Deformable 3D Gaussians for high-fidelity monocular dynamic scene reconstruction.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Deformable 3D Gaussians for high-fidelity monocular dynamic scene reconstruction

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:48.056793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:57:47.944009Z digest=sha256:ce66e7b12156b9c7551b1a2129c67f49fa04fbd5e8533bdd1f5b0b3fcc1c95c4

Observation 8f223f39-2f66-49e3-8014-64beed6b078f · outbound

This paper cites Mip-splatting: Alias-free 3D Gaussian splatting.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Mip-splatting: Alias-free 3D Gaussian splatting

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:48.042760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:57:47.948173Z digest=sha256:f781eae4a785a5e9c20474eef4c09c962938e7492dec167f5846faf03772ec87

Observation f442ddef-7a78-421a-bf7c-7ff661528475 · outbound

This paper cites Zhong, Tristan Bepler, Bonnie Berger, and Joseph H.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Zhong, Tristan Bepler, Bonnie Berger, and Joseph H

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:48.028505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:57:47.952650Z digest=sha256:5ede3bb35a032131a0d7dc3242dae44a5745b390cf3db72a93b7462679d859d4

Observation 111fe80f-cdd8-4bda-b722-64f090c0205d · outbound

This paper cites gold standard.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery gold standard

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:47.999188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:57:47.962069Z digest=sha256:59ee9dd12b207d19463c37bd2670365caf6fbd6ef063bd4c270564aeb6d5a30c

Observation 4d3b9010-9281-4b5f-8ff9-58c2af370611 · outbound

This paper cites an unresolved cited work.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Unresolved cited work

Reference 2021

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:57:48.013690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:57:47.956740Z digest=sha256:cc995baaf4961816da1fb4c8a0f7086e764d763bb28eb6769abf47880931800a

Pith citing papers

No inbound Pith citation observations are available.