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Paper Citation Record · LEDGER

Flow Matching for Scalable Simulation-Based Inference

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2305.17161.

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

pith.paper-citation-record.v1
2305.17161 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 2026-08-07T06:34:17.273281+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:58:15.704159Z

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

0 of 0 outbound references displayed

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  • malformed identifier0
  • metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f2896316-a4ce-4b62-a913-6670c7853892 · inbound

Evidence for eccentricity in the population of binary black holes observed by LIGO-Virgo-KAGRA cites this paper.

Evidence for eccentricity in the population of binary black holes observed by LIGO-Virgo-KAGRA Flow Matching for Scalable Simulation-Based Inference

Reference 116

Resolution
verified exact
arxiv_id, observed 2026-05-24T01:35:55.956340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T01:34:53.946159Z digest=sha256:f75f6c7e95a68047fabe2e65d080741fb60b88f02ea7d41a359c0beaffa5df3f

Observation 0de9403f-a520-4d37-ae1e-d2355d2fb0dc · inbound

CFMI: Flow Matching for Missing Data Imputation cites this paper.

CFMI: Flow Matching for Missing Data Imputation Flow Matching for Scalable Simulation-Based Inference

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:15.704159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:58:15.704159Z digest=sha256:e079e515227ccf544ea0952219071a88cc15019e77edc153f8f2193ddb63f8e3

Observation 8c336d6e-d2b7-4529-b085-0d01e6dbc1c2 · inbound

Inherited or produced? Inferring protein production kinetics when protein counts are shaped by a cell's division history cites this paper.

Inherited or produced? Inferring protein production kinetics when protein counts are shaped by a cell's division history Flow Matching for Scalable Simulation-Based Inference

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:37:14.796507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T10:34:08.515663Z digest=sha256:e98a07cfb0371441826d08a0516934fe78e118f214c006e551f3aaa431f6ded9

Observation d825aa79-b45f-4003-8f67-a6da77437d59 · inbound

Unlocking New Paths for Science with Extreme-Mass-Ratio Inspirals: Machine Learning-Enhanced MCMC for Accurate Parameter Inversion cites this paper.

Unlocking New Paths for Science with Extreme-Mass-Ratio Inspirals: Machine Learning-Enhanced MCMC for Accurate Parameter Inversion Flow Matching for Scalable Simulation-Based Inference

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T10:17:44.860638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:17:44.860638Z digest=sha256:95816af32a47907813360b7e2de63c3cf8e112a4dbdfcf85c96bbcd23374870e

Observation 510c3f98-fe7c-4f3a-b9ec-f7bda89c88e9 · inbound

Towards Precise Simulations and Inference for the Neutron EDM cites this paper.

Towards Precise Simulations and Inference for the Neutron EDM Flow Matching for Scalable Simulation-Based Inference

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T11:28:23.712236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:28:23.712236Z digest=sha256:ebfd50b8b629f8beec65d5773fb978483aa390adf1abb9e21d523d5925aae57d

Observation 0d4b2a74-5add-4138-81f1-8659a46df23a · inbound

Estimating Orbital Parameters of Direct Imaging Exoplanet Using Neural Network cites this paper.

Estimating Orbital Parameters of Direct Imaging Exoplanet Using Neural Network Flow Matching for Scalable Simulation-Based Inference

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-04T09:05:53.999320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:05:53.999320Z digest=sha256:dd68889e08de297b4f08af98135d15265e0bcf0521446970c56d7333698559c0

Observation 8f02497b-961b-4bf8-91f3-3bb6da920b1e · inbound

Generative Modeling from Black-box Corruptions via Self-Consistent Stochastic Interpolants cites this paper.

Generative Modeling from Black-box Corruptions via Self-Consistent Stochastic Interpolants Flow Matching for Scalable Simulation-Based Inference

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:03:39.135011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T23:01:37.752828Z digest=sha256:a1716d03a52662d781a294268f08a8e3c971c866c47a13e5e913c96bea5d9114

Observation 1d6512bf-c64e-489d-85c6-6c7d26832c4b · inbound

A Review of Diffusion-based Simulation-Based Inference: Foundations and Applications in Non-Ideal Data Scenarios cites this paper.

A Review of Diffusion-based Simulation-Based Inference: Foundations and Applications in Non-Ideal Data Scenarios Flow Matching for Scalable Simulation-Based Inference

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:58:18.227899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T18:57:06.742017Z digest=sha256:5a2431189052c32ad45b78b4725c3fbdca070f9cb3f34f8e5fdfde6e2eaa6c4b

Observation 2f1ddc96-e148-41be-bafc-f376ce49c7a2 · inbound

FluxMC: Rapid and High-Fidelity Inference for Space-Based Gravitational-Wave Observations cites this paper.

FluxMC: Rapid and High-Fidelity Inference for Space-Based Gravitational-Wave Observations Flow Matching for Scalable Simulation-Based Inference

Reference 60

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T18:33:06.844543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T18:28:38.652125Z digest=sha256:49415bead4496f26181807ffbe94bd9d446a9dacad610bf0bdd61bffeeaceba6

Observation 33f01d95-e1c6-4179-82b8-fc0886896a45 · inbound

Bayesian Inference for Estimating Generation Costs in Electricity Markets cites this paper.

Bayesian Inference for Estimating Generation Costs in Electricity Markets Flow Matching for Scalable Simulation-Based Inference

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:46:49.770860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:26:50.749846Z digest=sha256:9e61272ea736e113391ceb4a7f6606e5a25a7f9cbe20b8ec3ea0dfa0f00815a2

Observation 0168ad00-790f-47e3-95e0-a5ae4a6fa2ea · inbound

labrador: A domain-optimized machine-learning tool for gravitational wave inference cites this paper.

labrador: A domain-optimized machine-learning tool for gravitational wave inference Flow Matching for Scalable Simulation-Based Inference

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:10:54.873131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T18:16:58.113526Z digest=sha256:a699a965db801991695c41faf00af5b0ee23cc7d1a0fee92555d72e066329e1c

Observation 8995a115-939f-4c20-b634-1a16d15d8ef6 · inbound

Tokenised Flow Matching for Hierarchical Simulation Based Inference cites this paper.

Tokenised Flow Matching for Hierarchical Simulation Based Inference Flow Matching for Scalable Simulation-Based Inference

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T01:10:09.279925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T01:08:09.235936Z digest=sha256:d4b4687c7234cd420be518b6012609eb493c4bfc4a8dffe00c74441ff3137e77

Observation 5f0c8974-e369-4f3a-b61c-ce5f194bcfeb · inbound

GenSBI: Generative Methods for Simulation-Based Inference in JAX cites this paper.

GenSBI: Generative Methods for Simulation-Based Inference in JAX Flow Matching for Scalable Simulation-Based Inference

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:53:51.725916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T18:44:35.962392Z digest=sha256:4ff4408390caacfd2172aab522dc4f6a5bb15c0beb8834a426fc536e7c809f9e

Observation 3e6c1314-8543-4206-8817-d8c39fffff46 · 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 Flow Matching for Scalable Simulation-Based Inference

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-27T19:11:10.733073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T15:22:40.822607Z digest=sha256:e18c9714991dd9299a3e7da04f335664a93cad3bd1962f867bb73dd2014846d3

Observation a2631c70-e5bb-4f8a-a233-9bffc3f60ef0 · inbound

Amortized Simulation-Based Inference of Colliding-Wind Binaries from Short, Noisy Image Time Series cites this paper.

Amortized Simulation-Based Inference of Colliding-Wind Binaries from Short, Noisy Image Time Series Flow Matching for Scalable Simulation-Based Inference

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T12:00:52.926689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T11:59:17.077145Z digest=sha256:1c5200971f14769536d8f69edf27ae1de46ee0235858859375c7293e8e8a4325

Observation a5e4b52d-01d6-43a1-9af1-b3cb792afb71 · inbound

Artifact-Conditioned Interval Diagnostics for Flow-Matching Neural Posterior Estimation in a Controlled Gravitational-Wave Benchmark cites this paper.

Artifact-Conditioned Interval Diagnostics for Flow-Matching Neural Posterior Estimation in a Controlled Gravitational-Wave Benchmark Flow Matching for Scalable Simulation-Based Inference

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:18:12.938907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T08:16:15.068271Z digest=sha256:4bc32c82e5e7baca77986f492a0226c41835c61ba4e54ce763d06bc87a537fbb

Observation 90c1c6dd-65eb-4612-bfeb-d7096e432bed · inbound

One Generator, Any Process: LLM-Conditioning for the LHC cites this paper.

One Generator, Any Process: LLM-Conditioning for the LHC Flow Matching for Scalable Simulation-Based Inference

Reference 89

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T11:39:46.474501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T07:53:57.250401Z digest=sha256:0280fba9191e10f0caacd3ac99d370a910b932327a2f3af544a8b507e81e643b

Observation bed8ef38-3a68-43ad-b29c-b35ed5d66c92 · inbound

One Generator, Any Process: LLM-Conditioning for the LHC cites this paper.

One Generator, Any Process: LLM-Conditioning for the LHC Flow Matching for Scalable Simulation-Based Inference

Reference 94

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T10:14:36.145120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-30T10:13:09.503522Z digest=sha256:5ac41e1e3fdab7f9c52debb81e55bd638d5199a709b502482eba46ca5ef57d0c