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Paper Citation Record · LEDGER

Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2206.04119.

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

pith.paper-citation-record.v1
2206.04119 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:53:47.513558Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:57:26.176864Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 01229903-951b-4723-a666-d0392c7e7d42 · inbound

D-Flow: Multi-modality Flow Matching for D-peptide Design cites this paper.

D-Flow: Multi-modality Flow Matching for D-peptide Design Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T17:43:17.760176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T17:39:47.507856Z digest=sha256:8e91efb04953a3c5ff3851bcf0436dc80c20efd515782b0f16a38dafce3c0b41

Observation 38c9c674-da20-4e9b-b180-192d9835bf2f · inbound

Recognizing and generating knotted molecular structures by machine learning cites this paper.

Recognizing and generating knotted molecular structures by machine learning Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-10T16:53:47.513558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:53:47.513558Z digest=sha256:86c6a24a88dcd3cd4a836f05fbffa72264a378c6e36675ad51b47b619266c1fb

Observation f68814dd-b9b8-48bf-b305-3cb447500ae0 · inbound

Efficient Controllable Diffusion via Optimal Classifier Guidance cites this paper.

Efficient Controllable Diffusion via Optimal Classifier Guidance Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:55.131666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:35:55.131666Z digest=sha256:0c01f89943861359c23ae24839942f5c9c5e10b4759549d8cd7d6be3ffb96a76

Observation 72b48db4-f96e-4536-aeda-94f7060ad114 · inbound

Energy-Based Flow Matching for Generating 3D Molecular Structure cites this paper.

Energy-Based Flow Matching for Generating 3D Molecular Structure Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-05T16:11:17.030710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:11:17.030710Z digest=sha256:7116b074e699ffea6bde8d0d867d2ebf0e63fa03b7102cc10f6066bd6fa9d5a7

Observation 653dedf2-a06b-4c90-af2c-a048be000795 · inbound

Blade: A Derivative-free Bayesian Inversion Method using Diffusion Priors cites this paper.

Blade: A Derivative-free Bayesian Inversion Method using Diffusion Priors Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-04T10:17:48.072508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:17:48.072508Z digest=sha256:e14f66e9f3404a993647fcf661d283ac7b111b8bd3702160bb29c6654d233876

Observation de07c279-60a7-4ec4-b697-36deca1ccd01 · inbound

Controllable protein design with particle-based Feynman-Kac steering cites this paper.

Controllable protein design with particle-based Feynman-Kac steering Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T23:35:31.585483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T23:33:46.198391Z digest=sha256:126052921a0ea385d401c7e6ea52a1073ee280dc473c447a8fe2ba6d82dd7982

Observation 5b404bc8-810c-46f4-a557-2e1398ce36f2 · inbound

VASR: Variance-Aware Systematic Resampling for Reward-Guided Diffusion cites this paper.

VASR: Variance-Aware Systematic Resampling for Reward-Guided Diffusion Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:26:00.548625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:08:03.771557Z digest=sha256:079e0d674095256c75b2eff14053fa20cdee6bf82b94e6fb5f0fde6d087219d7

Observation 7cf155d5-fe18-4703-b57b-1846544198e3 · inbound

VASR: Variance-Aware Systematic Resampling for Reward-Guided Diffusion cites this paper.

VASR: Variance-Aware Systematic Resampling for Reward-Guided Diffusion Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T01:52:06.465275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T01:08:01.321456Z digest=sha256:dc3fbfb772d9210a7aef17b9b588c3e16bdcfaa69e8a2ddc83b70b6517f9ca80

Observation 43d08761-6f3f-434f-84dd-7c211e251d6d · inbound

Proteo-R1: Reasoning Foundation Models for De Novo Protein Design cites this paper.

Proteo-R1: Reasoning Foundation Models for De Novo Protein Design Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:36:13.545271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T19:31:31.963035Z digest=sha256:fe5947420510b0a661302855ae89f869682e3b12f465c7a9387ef09248a9dc8a

Observation 02045e35-8f07-452a-a308-f7f23d078bab · inbound

DCFold: Efficient Protein Structure Generation with Single Forward Pass cites this paper.

DCFold: Efficient Protein Structure Generation with Single Forward Pass Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T12:03:15.500965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T11:58:32.802839Z digest=sha256:b83cdd02387eac25f0ec5f8f3bfa9e3561c28416d7fc549e9393d7cbac025ce5

Observation 08a3ff81-a416-4c99-ac2c-124052cbadb0 · inbound

GeoCycler: Reward-Aligned 3D Diffusion for Constraint-Conditioned Cyclic Peptide Design cites this paper.

GeoCycler: Reward-Aligned 3D Diffusion for Constraint-Conditioned Cyclic Peptide Design Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-25T02:46:33.471536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-25T02:46:03.894997Z digest=sha256:74c1371be3b43207ea8876417bdac7a5db2fcaf567e9ace292f728c282e548a9

Observation e73fb717-ebc9-400f-bceb-8c3e464b70a5 · inbound

Unbiased Diffusion Variational Inversion via Principled Posterior Matching cites this paper.

Unbiased Diffusion Variational Inversion via Principled Posterior Matching Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:14:39.453368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T12:12:44.016249Z digest=sha256:e56b6293d80ad653392aa3e497e4262dde940d2497cec6ca1a7895b6f3574d83

Observation 8dc296dd-72de-4184-a5ab-33b97342d648 · inbound

SurfDesign: Effective Protein Design on Molecular Surfaces cites this paper.

SurfDesign: Effective Protein Design on Molecular Surfaces Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:33:54.346499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T19:24:06.143427Z digest=sha256:8004dfabdacbf915e822f12b7a919dd6c8bc6f6b08d49278ba541a205ce7bb82

Observation 38abe123-bfb5-4a88-aecb-7d8c4ecae268 · inbound

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models cites this paper.

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:57:26.178369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T18:35:15.196183Z digest=sha256:2bce8ea651707ec2e6917f0d383e81b8b2262ac7046bea487e263b71e2e869f3

Observation e749f051-710e-4370-83ce-885e5f13710b · inbound

Diffeomorphic Optimization cites this paper.

Diffeomorphic Optimization Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:47:05.843706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-02T15:38:21.981595Z digest=sha256:6e05b867ce3e5c69f323322e36744fa791a1692be971df05b0726c728b540643

Observation 91112c9f-7b89-4757-b86b-0d1975e73ff3 · inbound

Sequentially-Controlled Interactive Multi-Particle Flow-Maps for Online Feedback-Driven Search cites this paper.

Sequentially-Controlled Interactive Multi-Particle Flow-Maps for Online Feedback-Driven Search Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:37:06.058521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-02T15:29:55.860573Z digest=sha256:db895f79aee91fd3683240b11a45f6201aa488da071675fd3ec726b4ec0feb80

Observation 24b22ac4-1168-4d5f-852e-07b995e05580 · inbound

Bootstrap Flow-Map Tree Sampling Enables Online Feedback Driven Search cites this paper.

Bootstrap Flow-Map Tree Sampling Enables Online Feedback Driven Search Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-12T06:09:18.074799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:09:18.074799Z digest=sha256:60078645107db162e44c8801c9b3f60f63d60703ab7be6760a9d574953372e71

Observation c181bebb-d426-4f36-b5ed-44ee097ca5bf · inbound

Provable diffusion-based posterior sampling for linear inverse problems via DDIM cites this paper.

Provable diffusion-based posterior sampling for linear inverse problems via DDIM Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-01T12:52:53.766395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:52:53.766395Z digest=sha256:debc1b4a513058eed3189d28c8ee6cb661b2aa024a1a7b3d906bee75832e361e