Paper Citation Record · LEDGER

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models

As of 14 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2505.22935.

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

pith.paper-citation-record.v1
2505.22935 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:01:53.363678Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

45 of 45 outbound references displayed

verified exact3
verified fuzzy23
unresolved17
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 550daa1d-2cf0-4825-b077-1a0580ce4676 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Diffusion models beat gans on image synthesis

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:01.733594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 41596a75-1385-4c26-ba7f-5e6dee3ebc3c · outbound

This paper cites Weiss, Mohammad Norouzi, and William Chan.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Weiss, Mohammad Norouzi, and William Chan

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:01.457035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 21ee3500-5d32-429d-afa4-e4ce6236bb78 · outbound

This paper cites Diffwave: A versatile diffusion model for audio synthesis.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Diffwave: A versatile diffusion model for audio synthesis

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:01.182583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a0b38dfa-c1ea-4e2c-90ea-059e1470a6da · outbound

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

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Diffusion probabilistic models for 3d point cloud generation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:00.951494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 15936408-c82c-4d14-a7d5-f54c8327b5e2 · outbound

This paper cites Geodiff: A geometric diffusion model for molecular conformation generation.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Geodiff: A geometric diffusion model for molecular conformation generation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:00.729002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 61009879-feeb-4f84-a8c9-ef702f8e3328 · outbound

This paper cites Difusco: Graph-based diffusion solvers for combinatorial optimization.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Difusco: Graph-based diffusion solvers for combinatorial optimization

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:00.533500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation de6ea5ca-b90e-4b7c-8039-788ea73d4bf8 · outbound

This paper cites DiGress: Discrete diffusion for graph generation.Advances in Neural Information Processing Systems (NeurIPS), 2022.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models DiGress: Discrete diffusion for graph generation.Advances in Neural Information Processing Systems (NeurIPS), 2022

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:00.331767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4678c830-fa4f-47d0-8d86-01b7eb98b27f · outbound

This paper cites Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems (NeurIPS), 33:6840–6851, 2020.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems (NeurIPS), 33:6840–6851, 2020

Reference 8

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Source-reported events for the cited work

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Observation 69e9c9df-2896-4b7c-927b-c9bc68be813a · outbound

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

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Score-based generative modeling through stochastic differential equations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:49.311445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b7acbaa-75c6-4361-b294-2914bb6a8a36 · outbound

This paper cites Is noise conditioning necessary for denoising generative models?, 2025.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Is noise conditioning necessary for denoising generative models?, 2025

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:49.405620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e569455-2a86-47d1-a088-d612682f5451 · outbound

This paper cites Margossian, Ruben Ohana, and Bruno Régaldo-Saint Blan- card.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Margossian, Ruben Ohana, and Bruno Régaldo-Saint Blan- card

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:02:00.122976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 00dda2ec-34b2-4edc-9373-eba9ebb09847 · outbound

This paper cites Dif- fusion models with learned adaptive noise.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Dif- fusion models with learned adaptive noise

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:59.913578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d3fe70ab-e0ba-46bb-aae8-7114bfedaa12 · outbound

This paper cites Non Gaussian Denoising Diffusion Models.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Non Gaussian Denoising Diffusion Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:49.663095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf100ad1-127a-4e39-bb10-d26d063f5a3b · outbound

This paper cites Diffusion Models for Graphs Benefit From Discrete State Spaces.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Diffusion Models for Graphs Benefit From Discrete State Spaces

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:49.772369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a29f25dc-26af-4b96-9e24-45215b20bade · outbound

This paper cites GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T13:01:54.677493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7d46e506-a48d-4e03-963a-e98ad23dfeb9 · outbound

This paper cites Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:59.681152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4b87ea2f-7002-4dde-bbc4-5c0073882af2 · outbound

This paper cites Discrete-state Continuous-time Diffusion for Graph Generation.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Discrete-state Continuous-time Diffusion for Graph Generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:50.016296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41dc0826-62a2-4fab-af6e-24b71836f130 · outbound

This paper cites Score-based generative modeling of graphs via the system of stochastic differential equations.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Score-based generative modeling of graphs via the system of stochastic differential equations

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:59.458578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a8106df5-3721-41e0-b479-a38e363ddcb4 · outbound

This paper cites Deep unsuper- vised learning using nonequilibrium thermodynamics.International Conference on Machine Learning (ICML), pages 2256–2265, 2015.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Deep unsuper- vised learning using nonequilibrium thermodynamics.International Conference on Machine Learning (ICML), pages 2256–2265, 2015

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:59.227149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aa9996f4-28ac-4ec9-91bf-bb6443172b8c · outbound

This paper cites Equivariant Diffusion for Molecule Generation in 3D.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Equivariant Diffusion for Molecule Generation in 3D

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:50.449886Z

Source-reported events for the cited work

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Observation b9bdb079-1628-4264-8d09-df58b5868b5e · outbound

This paper cites Noise2self: Blind denoising by self-supervision.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Noise2self: Blind denoising by self-supervision

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:58.918535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ff738497-8cc0-48ff-b98a-06e51e875776 · outbound

This paper cites Permutation invariant graph generation via score-based generative modeling.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Permutation invariant graph generation via score-based generative modeling

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:58.621016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9eda7613-88cb-41da-85fa-d3ccfa7e33a7 · outbound

This paper cites Hyperbolic graph diffusion model.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Hyperbolic graph diffusion model

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:58.382652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e8c3004a-cb9b-4f6e-bcff-0d4692d120e6 · outbound

This paper cites Advancing Graph Generation through Beta Diffusion.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Advancing Graph Generation through Beta Diffusion

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:50.966144Z

Source-reported events for the cited work

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Observation 72b7c63b-67f6-40d8-9c5b-3bc9c576a7b9 · outbound

This paper cites Fisher information and stochastic complexity.IEEE transactions on information theory, 42(1):40–47, 1996.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Fisher information and stochastic complexity.IEEE transactions on information theory, 42(1):40–47, 1996

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:58.077018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4af7c889-f951-4c28-9bdc-a81e810323d7 · outbound

This paper cites an unresolved cited work.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:01:57.807871Z

Source-reported events for the cited work

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Observation c43db5ef-e297-48bb-b711-f3567735349c · outbound

This paper cites an unresolved cited work.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:51.281331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5830799c-fe72-40cd-a0c8-f0d295f6405d · outbound

This paper cites Higher-order interactions shape col- lective dynamics differently in hypergraphs and simplicial complexes.Nature Communications, 14:1605, 2023.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Higher-order interactions shape col- lective dynamics differently in hypergraphs and simplicial complexes.Nature Communications, 14:1605, 2023

Reference 28

Resolution: verified exact; doi, observed 2026-08-07T13:01:53.653840Z

Source-reported events for the cited work

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Observation 5322f021-53e5-4a39-80c0-442dd947648c · outbound

This paper cites Dynamic networks and behavior: Separating selection from influence.Sociological methodology, 40(1):329–393, 2010.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Dynamic networks and behavior: Separating selection from influence.Sociological methodology, 40(1):329–393, 2010

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:57.541743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b194b303-c3e8-46c0-8cb0-818bf6f76d52 · outbound

This paper cites Complex contagion process in spreading of online innovation.Journal of the Royal Society Interface, 11(101):20140694,.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Complex contagion process in spreading of online innovation.Journal of the Royal Society Interface, 11(101):20140694,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:57.270114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 39fa7d3f-afe2-4869-bf46-28707fc15375 · outbound

This paper cites Gnnguard: Defending graph neural networks against adversarial attacks.arXiv preprint, 2020.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Gnnguard: Defending graph neural networks against adversarial attacks.arXiv preprint, 2020

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:57.053449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d9365125-da38-4b50-a6af-894b52ce8d58 · outbound

This paper cites Provably robust explainable graph neural networks against graph perturbation attacks.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Provably robust explainable graph neural networks against graph perturbation attacks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:56.779336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f8655676-fa4c-4b33-a7ab-af25bf949ef4 · outbound

This paper cites Adversarial Examples on Graph Data: Deep Insights into Attack and Defense.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Adversarial Examples on Graph Data: Deep Insights into Attack and Defense

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:52.082536Z

Source-reported events for the cited work

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Observation d8071f01-5b25-4cac-986d-380e670f81cd · outbound

This paper cites an unresolved cited work.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:01:56.499188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1867e828-460c-4cfe-8516-65e7161feb77 · outbound

This paper cites Optimal Inference in Contextual Stochastic Block Models.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Optimal Inference in Contextual Stochastic Block Models

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:01:53.916976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b069ea1e-5310-4115-8e4d-a97f2ce023f9 · outbound

This paper cites Aegraph: Node attribute-enhanced graph encoder method.Expert Systems with Applications, 236:121382, 2024.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Aegraph: Node attribute-enhanced graph encoder method.Expert Systems with Applications, 236:121382, 2024

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:56.208407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1eb34b7f-73c0-4157-bb17-b5c59307e4fc · outbound

This paper cites On the evolution of random graphs.Publ.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models On the evolution of random graphs.Publ

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:52.523012Z

Source-reported events for the cited work

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Observation c660244d-7031-4a9f-a805-01ab1a81f34b · outbound

This paper cites Stochastic blockmodels: First steps.Social networks, 5(2):109–137, 1983.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Stochastic blockmodels: First steps.Social networks, 5(2):109–137, 1983

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:52.652117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5355bb2a-7249-4ed9-bc81-1b084ab53302 · outbound

This paper cites Quantum chemistry structures and properties of 134 kilo molecules.Scientific data, 1(1):1–7, 2014.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Quantum chemistry structures and properties of 134 kilo molecules.Scientific data, 1(1):1–7, 2014

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:52.757529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3a58f8c-3543-4085-bf9b-0f1e93fb0a95 · outbound

This paper cites Graph evolution: Densification and shrinking diameters.ACM transactions on Knowledge Discovery from Data (TKDD), 1(1):2–es, 2007.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Graph evolution: Densification and shrinking diameters.ACM transactions on Knowledge Discovery from Data (TKDD), 1(1):2–es, 2007

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:52.864154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16232ae7-081b-4572-a50e-b9336b08317d · outbound

This paper cites Large deviations for sums of partly dependent random variables.Random Structures & Algorithms, 24(3):234–248, 2004.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Large deviations for sums of partly dependent random variables.Random Structures & Algorithms, 24(3):234–248, 2004

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:55.915010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0176d312-1631-40f8-9387-07b1f9f2826c · outbound

This paper cites an unresolved cited work.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:01:55.680589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2757d249-e47f-4aa5-866e-5927572ed9d7 · outbound

This paper cites This is first done by assuming a Beta conjugate prior to derive an exact analytical form for the variance.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models This is first done by assuming a Beta conjugate prior to derive an exact analytical form for the variance

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:55.399093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d52c4496-7cfa-4394-8abb-b9aabaf6132c · outbound

This paper cites sharp rate.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models sharp rate

Reference 45

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T13:01:55.115815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5446453f-fb7d-4a97-8a42-9064cf942f0d · outbound

This paper cites an unresolved cited work.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Unresolved cited work

Reference 2014

Resolution: verified exact; raw_fallback, observed 2026-08-07T13:01:54.318794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

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