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Paper Citation Record · LEDGER

Information-geometric adaptive sampling for graph diffusion

As of 11 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2605.00250.

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

pith.paper-citation-record.v1
2605.00250 v1

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measured 50 of 50 reference resolution

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measured 50 of 50 standing notices

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

50 of 50 outbound references displayed

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External citation measurements

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Outbound references

Observation 560b1df9-e75f-46bd-98c8-786478cbdffb · outbound

This paper cites Information geometry and its applications: Survey.

Information-geometric adaptive sampling for graph diffusion Information geometry and its applications: Survey

Reference 1

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Information-geometric adaptive sampling for graph diffusion Unresolved cited work

Reference 2

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Information-geometric adaptive sampling for graph diffusion Unresolved cited work

Reference 3

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This paper cites Analytic-DPM: An analytic estimate of the optimal reverse variance in diffusion probabilistic models.

Information-geometric adaptive sampling for graph diffusion Analytic-DPM: An analytic estimate of the optimal reverse variance in diffusion probabilistic models

Reference 4

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This paper cites Equiv- ariant energy-guided SDE for inverse molecular design.

Information-geometric adaptive sampling for graph diffusion Equiv- ariant energy-guided SDE for inverse molecular design

Reference 5

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This paper cites N.Statistical decision rules and optimal infer- ence.

Information-geometric adaptive sampling for graph diffusion N.Statistical decision rules and optimal infer- ence

Reference 6

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This paper cites On the trajectory regularity of ODE-based diffusion sampling.

Information-geometric adaptive sampling for graph diffusion On the trajectory regularity of ODE-based diffusion sampling

Reference 7

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Information-geometric adaptive sampling for graph diffusion Unresolved cited work

Reference 8

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This paper cites and De Grave, K.

Information-geometric adaptive sampling for graph diffusion and De Grave, K

Reference 9

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Information-geometric adaptive sampling for graph diffusion and Calderhead, B

Reference 10

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Observation 509d0aa6-f391-4762-bfd5-5bcb812af39b · outbound

This paper cites Graphite: Iterative generative modeling of graphs.

Information-geometric adaptive sampling for graph diffusion Graphite: Iterative generative modeling of graphs

Reference 11

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This paper cites Denoising diffusion proba- bilistic models.

Information-geometric adaptive sampling for graph diffusion Denoising diffusion proba- bilistic models

Reference 12

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Information-geometric adaptive sampling for graph diffusion W., Laskey, K

Reference 13

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Information-geometric adaptive sampling for graph diffusion G., Vignac, C., and Welling, M

Reference 14

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Information-geometric adaptive sampling for graph diffusion J., Sterling, T., Mysinger, M

Reference 15

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Information-geometric adaptive sampling for graph diffusion Unresolved cited work

Reference 16

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Information-geometric adaptive sampling for graph diffusion Unresolved cited work

Reference 17

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Information-geometric adaptive sampling for graph diffusion Elucidating the design space of diffusion-based generative models

Reference 19

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Information-geometric adaptive sampling for graph diffusion and Ye, J

Reference 20

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Information-geometric adaptive sampling for graph diffusion Unresolved cited work

Reference 21

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Information-geometric adaptive sampling for graph diffusion and Ping, W

Reference 22

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Reference 23

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Information-geometric adaptive sampling for graph diffusion Crafting papers on machine learning

Reference 24

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This paper cites Alleviating exposure bias in diffusion models through sampling with shifted time steps.

Information-geometric adaptive sampling for graph diffusion Alleviating exposure bias in diffusion models through sampling with shifted time steps

Reference 25

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Information-geometric adaptive sampling for graph diffusion Fisher-Rao metric, geometry, and complexity of neural networks

Reference 26

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Observation 3e1eb128-2c20-400a-a860-70adaf2ef04e · outbound

This paper cites I 2SB: Image-to-image Schr¨odinger bridge.

Information-geometric adaptive sampling for graph diffusion I 2SB: Image-to-image Schr¨odinger bridge

Reference 27

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This paper cites DPM- solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps.

Information-geometric adaptive sampling for graph diffusion DPM- solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps

Reference 28

Resolution
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Observation 1a4141f3-a85c-45f3-bfe6-6d18f7acc57a · outbound

This paper cites GraphDF: A discrete flow model for molecular graph generation.

Information-geometric adaptive sampling for graph diffusion GraphDF: A discrete flow model for molecular graph generation

Reference 29

Resolution
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This paper cites Spectre: Spectral conditioning helps to overcome the expressivity limits of one-shot graph generators.

Information-geometric adaptive sampling for graph diffusion Spectre: Spectral conditioning helps to overcome the expressivity limits of one-shot graph generators

Reference 30

Resolution
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This paper cites Continuous markov processes and stochastic equations.Rendiconti del Circolo Matematico di Palermo, 4(1):48–90.

Information-geometric adaptive sampling for graph diffusion Continuous markov processes and stochastic equations.Rendiconti del Circolo Matematico di Palermo, 4(1):48–90

Reference 31

Resolution
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Source-reported events for the cited work

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This paper cites Constraint Ornstein-Uhlenbeck bridges.Jour- nal of Mathematical Physics, 58(9).

Information-geometric adaptive sampling for graph diffusion Constraint Ornstein-Uhlenbeck bridges.Jour- nal of Mathematical Physics, 58(9)

Reference 32

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

Information-geometric adaptive sampling for graph diffusion Permutation invariant graph generation via score-based generative modeling

Reference 33

Resolution
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Observation 1a3c101e-9f6c-432d-98b8-daeca27fec4b · outbound

This paper cites Jump your steps: Optimizing sampling schedule of discrete diffusion models.

Information-geometric adaptive sampling for graph diffusion Jump your steps: Optimizing sampling schedule of discrete diffusion models

Reference 34

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Source-reported events for the cited work

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Observation c756af4e-afe5-4833-b481-48e57c80d3fc · outbound

This paper cites Fr ´echet chemnet distance: a metric for generative models for molecules in drug discovery.Jour- nal of Chemical Information and Modeling, 58(9):1736– 1741.

Information-geometric adaptive sampling for graph diffusion Fr ´echet chemnet distance: a metric for generative models for molecules in drug discovery.Jour- nal of Chemical Information and Modeling, 58(9):1736– 1741

Reference 35

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Observation 01cf1373-538b-4e5c-bba8-a3dfe0d819ef · outbound

This paper cites DeFoG: Discrete flow matching for graph generation.

Information-geometric adaptive sampling for graph diffusion DeFoG: Discrete flow matching for graph generation

Reference 36

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raw_fallback, observed 2026-05-24T22:36:26.390905Z

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.

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Observation df8bf507-8f2d-4067-a179-af4193b16b63 · outbound

This paper cites O., Rupp, M., and V on Lilienfeld, O.

Information-geometric adaptive sampling for graph diffusion O., Rupp, M., and V on Lilienfeld, O

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T22:36:26.393555Z

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.

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Observation 004586c2-06f8-48ce-a413-beeba32ffd35 · outbound

This paper cites Align your steps: Optimizing sampling schedules in diffusion models.

Information-geometric adaptive sampling for graph diffusion Align your steps: Optimizing sampling schedules in diffusion models

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T22:36:26.427888Z

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.

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Observation 503a014f-f13b-4e5a-a63b-ffd440540024 · outbound

This paper cites Collective classification in network data.AI Magazine, 29(3):93–93.

Information-geometric adaptive sampling for graph diffusion Collective classification in network data.AI Magazine, 29(3):93–93

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T22:36:26.375957Z

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=2026-05-09T19:35:38.775572Z digest=sha256:9c51fb0fe04b70a7a15e285a420dff0d995f768eedd0bcfb71b0b2708ae4360f

Observation 5be30a5f-fe3f-4643-87bb-c9d6bc3d4d39 · outbound

This paper cites GraphAF: a flow-based autoregressive model for molecu- lar graph generation.

Information-geometric adaptive sampling for graph diffusion GraphAF: a flow-based autoregressive model for molecu- lar graph generation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T22:36:26.405396Z

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=2026-05-09T19:35:38.775572Z digest=sha256:ab07becc0402d1fefe8f1b138db8374dce898211b9f5267e850dbbd370e7f9ad

Observation f9bedf94-7e61-4d6b-a04f-92ecf651d422 · outbound

This paper cites Improving Training-free Conditional Diffusion Model via Fisher Information.

Information-geometric adaptive sampling for graph diffusion Improving Training-free Conditional Diffusion Model via Fisher Information

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:36:08.122049Z

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.

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Observation f66ccb8e-03fd-42df-8454-6759758b3cca · outbound

This paper cites and Ermon, S.

Information-geometric adaptive sampling for graph diffusion and Ermon, S

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T22:36:26.369807Z

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=2026-05-09T19:35:38.775572Z digest=sha256:9075d22a658903bb7743d71753f51bf31acb547b7ccad7fae210a81d8f38a97d

Observation 61c02c7c-8604-4a4b-95d8-db012723a24f · outbound

This paper cites V ., and Niepert, M.

Information-geometric adaptive sampling for graph diffusion V ., and Niepert, M

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T22:36:26.368891Z

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=2026-05-09T19:35:38.775572Z digest=sha256:0f543b2560f59f4e8861c5c0af1c289c435fdad034a6bfd7622708e69f25625a

Observation b37415f8-8649-4552-a889-9a5125005a96 · outbound

This paper cites an unresolved cited work.

Information-geometric adaptive sampling for graph diffusion Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-05-24T22:36:26.392974Z

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=2026-05-09T19:35:38.775572Z digest=sha256:421bb39842f4623e17acb3788f1102e68b45484e5ff42d92f08d9869a91d0c25

Observation 4f4e8e78-e6f7-45a0-b046-c95c89617936 · outbound

This paper cites DiGress: Discrete denoising diffusion for graph generation.

Information-geometric adaptive sampling for graph diffusion DiGress: Discrete denoising diffusion for graph generation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T22:36:26.390420Z

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=2026-05-09T19:35:38.775572Z digest=sha256:a75d31e06c8a1d49ed766ebda83b0d48c8ef32cd4cd0c958b29eb89a456173ce

Observation c711ded8-6594-4363-8879-53661682239d · outbound

This paper cites Learning fast samplers for diffusion models by differentiating through sample quality.

Information-geometric adaptive sampling for graph diffusion Learning fast samplers for diffusion models by differentiating through sample quality

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T22:36:26.399789Z

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=2026-05-09T19:35:38.775572Z digest=sha256:7be3c8dfbaa14e144d84e91741da26749a744411fb36e9985f8afce197b86aba

Observation 0a10241b-cb4b-4196-af1c-1313422c67f3 · outbound

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

Information-geometric adaptive sampling for graph diffusion GeoDiff: A geometric diffusion model for molecular conformation generation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T22:36:26.378934Z

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=2026-05-09T19:35:38.775572Z digest=sha256:107cba43928e2742ce7032ff5a0136fd39de42287e2e830934da17d7a0a3e2e5

Observation e52538d1-14f1-41ee-b3cf-ece1e9aabb5b · outbound

This paper cites Accelerating diffusion sampling with optimized time steps.

Information-geometric adaptive sampling for graph diffusion Accelerating diffusion sampling with optimized time steps

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T22:36:26.458244Z

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=2026-05-09T19:35:38.775572Z digest=sha256:5d2aed069a9fbbb06af2465c50d72d6cddc7edf11ba04f4e3aac255275527bb5

Observation 507ed9f2-63d1-440a-8d5d-9256f8629278 · outbound

This paper cites and Chen, Y.

Information-geometric adaptive sampling for graph diffusion and Chen, Y

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T22:36:26.378167Z

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=2026-05-09T19:35:38.775572Z digest=sha256:37e88f528b2a7e8575f407462edaa0b5297e6bf919d51e7af41072040bd46186

Observation b23b3114-f1c5-45d9-b0ee-dab065702c67 · outbound

This paper cites GraphVite: A high- performance CPU-GPU hybrid system for node embed- ding.

Information-geometric adaptive sampling for graph diffusion GraphVite: A high- performance CPU-GPU hybrid system for node embed- ding

Reference 50

Resolution
malformed identifier
raw_fallback, observed 2026-05-24T22:36:26.449344Z

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=2026-05-09T19:35:38.775572Z digest=sha256:4391e051f9683d1a697ec3864743e82ff8e466b591ba34d96301197f83ac2884

Pith citing papers

No inbound Pith citation observations are available.