Paper Citation Record · LEDGER

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI

As of 11 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 3 inbound Pith citation observations for arXiv:2507.00514.

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

pith.paper-citation-record.v1
2507.00514 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:18:47.644150Z

measured 35 of 35 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T16:37:05.583858Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy21
unresolved11
parse uncertain0
malformed identifier0
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 2b402408-ab68-4aa1-93a7-4c3659f7c3b0 · outbound

This paper cites Optuna: A next-generation hyperparameter optimization framework.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI Optuna: A next-generation hyperparameter optimization framework

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:54.181538Z

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.

Observation 8e7acde3-d610-4b11-9294-8a4ff5b9a659 · outbound

This paper cites How many simulations do we need for simulation-based inference in cosmology?, 2025.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI How many simulations do we need for simulation-based inference in cosmology?, 2025

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:44.898372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2ef504b-da9e-44f2-8988-3a16eb78e94c · outbound

This paper cites K., Witte, S.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI K., Witte, S

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:53.839740Z

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.

Observation fce36aac-8536-46f5-9f98-038c6c44d3f5 · outbound

This paper cites The frontier of simulation-based inference.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI The frontier of simulation-based inference

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:53.558353Z

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.

Observation cd7f4bb6-e958-4f49-b293-1d2cd8206676 · outbound

This paper cites Neural spline flows.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI Neural spline flows

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:53.264398Z

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.

Observation 730908f8-2fcc-41f7-be4b-d56db1c3580e · outbound

This paper cites nflows : normalizing flows in PyTorch , 2020.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI nflows : normalizing flows in PyTorch , 2020

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:45.298916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d21e31b1-16da-4a0c-ad90-5b22f0a4bae8 · outbound

This paper cites Fastpm: a new scheme for fast simulations of dark matter and haloes.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI Fastpm: a new scheme for fast simulations of dark matter and haloes

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:53.034280Z

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.

Observation 336d00cb-1029-45db-bda8-4bec40ddff07 · outbound

This paper cites T., Dodelson , S., Doux , C., Eckert , K., Elvin-Poole , J., Everett , S., Ferte , A., Gruen , D., Gruendl , R., Harrison , I., Hartley , W.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI T., Dodelson , S., Doux , C., Eckert , K., Elvin-Poole , J., Everett , S., Ferte , A., Gruen , D., Gruendl , R., Harrison , I., Hartley , W

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:52.767131Z

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.

Observation 004c3788-dd70-4d3e-bcee-2cf00d588179 · outbound

This paper cites Automatic posterior transformation for likelihood-free inference.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI Automatic posterior transformation for likelihood-free inference

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:52.424583Z

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.

Observation 0322ff1e-bb84-468e-acbc-ea0a5294d34b · outbound

This paper cites M., Rasch, M.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI M., Rasch, M

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:52.121226Z

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.

Observation c342cc0b-0090-4af7-baff-bcbd6d2c5d69 · outbound

This paper cites Cosmological constraints from non-Gaussian and nonlinear galaxy clustering using the SIMBIG inference framework.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI Cosmological constraints from non-Gaussian and nonlinear galaxy clustering using the SIMBIG inference framework

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:51.842719Z

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.

Observation 5f2c774f-3e67-4184-b05c-fc94c27df5a4 · outbound

This paper cites Likelihood-free MCMC with amortized approximate ratio estimators.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI Likelihood-free MCMC with amortized approximate ratio estimators

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:51.583195Z

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.

Observation cea462f9-71f3-4271-a62c-68ac03b7b9cd · outbound

This paper cites A trust crisis in simulation-based inference? Beware , your posterior approximations can be unfaithful.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI A trust crisis in simulation-based inference? Beware , your posterior approximations can be unfaithful

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:51.276609Z

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.

Observation 7087debd-3098-4638-8d24-700e0b0e01b3 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI Distilling the Knowledge in a Neural Network

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:46.177799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fa52642-e65c-41d7-a560-cb15dcb0962f · outbound

This paper cites Simulation-based inference has its own Dodelson-Schneider effect (but it knows that it does).

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI Simulation-based inference has its own Dodelson-Schneider effect (but it knows that it does)

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:46.246474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6142fa77-2f52-494d-bb80-eabde9be8f67 · outbound

This paper cites Cosmological Analysis with Calibrated Neural Quantile Estimation and Approximate Simulators.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI Cosmological Analysis with Calibrated Neural Quantile Estimation and Approximate Simulators

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:46.317230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0bc2dc2-100d-4812-b7c6-1b23e347f637 · outbound

This paper cites Simulation-based inference with quantile regression.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI Simulation-based inference with quantile regression

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:50.979669Z

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.

Observation 45196961-7142-40df-a887-40090924bfc4 · outbound

This paper cites N., Johnson, H.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI N., Johnson, H

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:46.500090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16046967-fb57-4bb6-bcc7-66850a55630d · outbound

This paper cites M., Blancard, B.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI M., Blancard, B

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:50.702242Z

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.

Observation 55c0a45c-6871-4d93-8586-9fb7c800a04d · outbound

This paper cites Revisiting Classifier Two-Sample Tests.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI Revisiting Classifier Two-Sample Tests

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:46.650580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e10b3bd-2dbc-4358-80d9-39208fc81fe9 · outbound

This paper cites J., Bassetto, G., \" O cal, K., Nonnenmacher, M., and Macke, J.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI J., Bassetto, G., \" O cal, K., Nonnenmacher, M., and Macke, J

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:50.461698Z

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.

Observation 212e9aff-d26e-484a-a18f-cf015e2ba7e2 · outbound

This paper cites an unresolved cited work.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:18:50.146191Z

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.

Observation 85384e22-717a-4cc6-8524-e3d749396735 · outbound

This paper cites Benchmarking simulation-based inference.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI Benchmarking simulation-based inference

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:49.824764Z

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.

Observation d4a390bf-a591-4fa8-a3e2-cf043d2eba1a · outbound

This paper cites Hybrid SBI or How I Learned to Stop Worrying and Learn the Likelihood.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI Hybrid SBI or How I Learned to Stop Worrying and Learn the Likelihood

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:46.938326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dd39383-5c0d-408b-b979-370f8a03a3ce · outbound

This paper cites P., Thiele , L., Armijo , J., Cheng , S., Cowell , J.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI P., Thiele , L., Armijo , J., Cheng , S., Cowell , J

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:49.471373Z

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.

Observation 0fe93a92-f11c-4cd8-b634-3af3790f1366 · outbound

This paper cites and Murray, I.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI and Murray, I

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:49.195742Z

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.

Observation 9fc04fc2-a2ae-400f-b515-2939a28479c9 · outbound

This paper cites Sequential neural likelihood: Fast likelihood-free inference with autoregressive flows.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI Sequential neural likelihood: Fast likelihood-free inference with autoregressive flows

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:48.928945Z

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.

Observation aad93391-3342-42cc-833c-15386965aedb · outbound

This paper cites A., Piras, D., Jeffrey, N., Mancini, A.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI A., Piras, D., Jeffrey, N., Mancini, A

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:47.298001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3efa37a7-4279-4320-8aed-f222d2383af7 · outbound

This paper cites J., Greenberg, D.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI J., Greenberg, D

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:48.705027Z

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.

Observation fadf8b1b-d5a2-477e-863b-5265f87b4ebf · outbound

This paper cites N., Ho , S., and Wandelt , B.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI N., Ho , S., and Wandelt , B

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:48.391059Z

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.

Observation d0925d95-a840-4491-ad42-3fa0cb8b1258 · outbound

This paper cites M., Ramanah, D.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI M., Ramanah, D

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:48.162938Z

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.

Observation 414d0fcf-d93e-4c60-bf64-98edfc3af2dc · outbound

This paper cites Modeling Galaxy Surveys with Hybrid SBI.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI Modeling Galaxy Surveys with Hybrid SBI

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:47.644150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 94cfe9b8-582f-4129-9037-e166075e5867 · inbound

Machine Learning Techniques for Astrophysics and Cosmology: Simulation-Based Inference cites this paper.

Machine Learning Techniques for Astrophysics and Cosmology: Simulation-Based Inference Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.844057Z

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.

Observation f4a9f6fc-ac12-46f2-8be8-102e99f55270 · inbound

Bridged SBI: Correcting Biased Low-Fidelity Posteriors for Cost-Efficient High-Fidelity Inference cites this paper.

Bridged SBI: Correcting Biased Low-Fidelity Posteriors for Cost-Efficient High-Fidelity Inference Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:17:31.408228Z

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.

Observation b2d649d0-9b8d-4199-afaa-f00ccf1667c8 · inbound

Learning the Universe: Posterior Reliability of Neural Generative Models in High-Dimensional Field-Level Inference of Cosmic Initial Conditions cites this paper.

Learning the Universe: Posterior Reliability of Neural Generative Models in High-Dimensional Field-Level Inference of Cosmic Initial Conditions Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI

Reference 120

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T19:11:10.759747Z

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.