Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:55:48.273031Z
Paper Citation Record · LEDGER
Deep Learning Surrogates for Real-Time Gas Emission Inversion
As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2506.14597.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
34 of 34 outbound references displayed
- verified exact1
- verified fuzzy28
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 50ccd85f-7dba-4a6f-a97a-9ef3b6262890 · outbound
This paper cites State space modeling of multiple time series.Econometric Reviews, 10(1):1–59, 1991.
Deep Learning Surrogates for Real-Time Gas Emission Inversion State space modeling of multiple time series.Econometric Reviews, 10(1):1–59, 1991
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:55:48.799055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0b44b073-c52d-4c65-b47d-addd73c80842 · outbound
This paper cites A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking.IEEE Transactions on Signal Processing, 50(2):174–188, 2002.
Deep Learning Surrogates for Real-Time Gas Emission Inversion A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking.IEEE Transactions on Signal Processing, 50(2):174–188, 2002
Reference 2
- Resolution
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- raw_fallback, observed 2026-08-15T19:55:48.783372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b29048c7-fe9c-438f-9882-a68cb3e757b1 · outbound
This paper cites The interacting multiple model algorithm for systems with Markovian switching coefficients.IEEE Transactions on Automatic Control, 33(8):780– 783, 2002.
Deep Learning Surrogates for Real-Time Gas Emission Inversion The interacting multiple model algorithm for systems with Markovian switching coefficients.IEEE Transactions on Automatic Control, 33(8):780– 783, 2002
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:55:48.769368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bc713340-d463-47b8-9b0c-8b4f53d8e1c0 · outbound
This paper cites CRC press, 2011.
Deep Learning Surrogates for Real-Time Gas Emission Inversion CRC press, 2011
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:55:48.754499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6140f541-0766-4f00-873d-728388316564 · outbound
This paper cites Stochastic problems in physics and astronomy.Reviews of Modern Physics, 15(1):1, 1943.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Stochastic problems in physics and astronomy.Reviews of Modern Physics, 15(1):1, 1943
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:55:48.739903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d43981e2-ef93-4f48-bbc4-cea8217a27c1 · outbound
This paper cites Comparison of resampling schemes for particle filtering.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Comparison of resampling schemes for particle filtering
Reference 6
- Resolution
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- raw_fallback, observed 2026-08-15T19:55:48.724606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 62f3eba5-aa95-4d31-98f6-0a71270a931c · outbound
This paper cites Scalable Monte Carlo for Bayesian Learning.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Scalable Monte Carlo for Bayesian Learning
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:55:48.152771Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2dc7304-4790-43db-adc3-91c8a1f2c708 · outbound
This paper cites Understanding the difficulty of training deep feedforward neural networks.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Understanding the difficulty of training deep feedforward neural networks
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:55:48.157428Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2850cf38-c6de-41a8-81db-30a33e844190 · outbound
This paper cites Novel approach to nonlinear/non- Gaussian Bayesian state estimation.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Novel approach to nonlinear/non- Gaussian Bayesian state estimation
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:55:48.699633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 214a3639-ecb6-4edf-bebc-2be9cd1cf1ab · outbound
This paper cites State-space models.Handbook of Econometrics, 4:3039–3080, 1994.
Deep Learning Surrogates for Real-Time Gas Emission Inversion State-space models.Handbook of Econometrics, 4:3039–3080, 1994
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:55:48.685555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8faad877-7828-4027-87fb-47641b8c4bb7 · outbound
This paper cites Methane emissions: remote mapping and source quantification using an open-path laser dispersion spectrometer.Geophysical Research Letters, 47(10), 2020.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Methane emissions: remote mapping and source quantification using an open-path laser dispersion spectrometer.Geophysical Research Letters, 47(10), 2020
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:55:48.671893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 730a7088-de8d-4f19-b618-861962ebd210 · outbound
This paper cites Mapping CO2 and CH4 emissions: field-trial evaluation of LightSource for remotely estimating the locations and mass emission rates of sources.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Mapping CO2 and CH4 emissions: field-trial evaluation of LightSource for remotely estimating the locations and mass emission rates of sources
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:55:48.657271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f65cc790-2cec-4feb-a1e7-67dfa73ee782 · outbound
This paper cites ΦFlow (PhiFlow): differentiable simulations for PyTorch, TensorFlow and Jax.
Deep Learning Surrogates for Real-Time Gas Emission Inversion ΦFlow (PhiFlow): differentiable simulations for PyTorch, TensorFlow and Jax
Reference 13
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- raw_fallback, observed 2026-08-15T19:55:48.641047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3be04f09-4de6-497b-9f9d-fb51bffaa9dc · outbound
This paper cites Parameterizing state–space models for infectious disease dynamics by generalized profiling: measles in ontario.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Parameterizing state–space models for infectious disease dynamics by generalized profiling: measles in ontario
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:55:48.626088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e6178ab6-a196-4fc1-9304-0c1abe3df275 · outbound
This paper cites Academic Press, 1970.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Academic Press, 1970
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:55:48.611748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b6f60df8-2552-4c79-8445-b73ad6f7b472 · outbound
This paper cites A new approach to linear filtering and prediction problems.Journal of Basic Engineering, 1960.
Deep Learning Surrogates for Real-Time Gas Emission Inversion A new approach to linear filtering and prediction problems.Journal of Basic Engineering, 1960
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:55:48.598011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ca141ceb-7f50-4c6e-9e41-b7d5ff3a6792 · outbound
This paper cites Monte Carlo filter and smoother for non-Gaussian nonlinear state space models.Journal of Computational and Graphical Statistics, 5(1):1–25, 1996.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Monte Carlo filter and smoother for non-Gaussian nonlinear state space models.Journal of Computational and Graphical Statistics, 5(1):1–25, 1996
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:55:48.583659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e23caf7a-7cd9-4257-82ea-805f9ec9205f · outbound
This paper cites Self-normalizing neural networks.Advances in Neural Information Processing Systems, 30, 2017.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Self-normalizing neural networks.Advances in Neural Information Processing Systems, 30, 2017
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:55:48.568951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 25e380cb-b0a9-42a1-8b87-c596045438c7 · outbound
This paper cites Sur les lois des mouvement des fluides, en ayant égard à l’adhesion des molecules.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Sur les lois des mouvement des fluides, en ayant égard à l’adhesion des molecules
Reference 19
- Resolution
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- raw_fallback, observed 2026-08-15T19:55:48.553982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3165543a-4206-4896-b0d6-12cede550e18 · outbound
This paper cites Sur les lois du mouvement des fluides.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Sur les lois du mouvement des fluides
Reference 20
- Resolution
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- raw_fallback, observed 2026-08-15T19:55:48.538936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c95fce9c-bebe-4b55-b33c-ddea15b2cac3 · outbound
This paper cites Particle learning methods for state and parameter estimation.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Particle learning methods for state and parameter estimation
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:55:48.524453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 85dff4af-6f6c-4bca-892c-a9639fd8e39f · outbound
This paper cites Probabilistic Inversion Modeling of Gas Emissions: A Gradient-Based MCMC Estimation of Gaussian Plume Parameters.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Probabilistic Inversion Modeling of Gas Emissions: A Gradient-Based MCMC Estimation of Gaussian Plume Parameters
Reference 22
- Resolution
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- local_arxiv, observed 2026-08-15T19:55:48.315923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bd1e6496-fc56-4031-981b-bc1b5f8ccb9c · outbound
This paper cites The Oil & Gas Methane Partnership 2.0.
Deep Learning Surrogates for Real-Time Gas Emission Inversion The Oil & Gas Methane Partnership 2.0
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:55:48.509885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ad163e70-133b-440b-8ff3-eea152173345 · outbound
This paper cites an unresolved cited work.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T19:55:48.494130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 94279496-463e-47b6-92cf-58cb744a0f40 · outbound
This paper cites Springer, 1999.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Springer, 1999
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:55:48.479227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 06844310-1cbe-4e5c-8273-6652dbc984f1 · outbound
This paper cites The perceptron: a probabilistic model for information storage and organiza- tion in the brain.Psychological Review, 65(6):386, 1958.
Deep Learning Surrogates for Real-Time Gas Emission Inversion The perceptron: a probabilistic model for information storage and organiza- tion in the brain.Psychological Review, 65(6):386, 1958
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:55:48.465268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3773b3b0-786d-4561-bcf5-3e7f0879b89d · outbound
This paper cites Global methane budget 2000–2020.Earth System Science Data, 17(5):1873–1958, 2025.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Global methane budget 2000–2020.Earth System Science Data, 17(5):1873–1958, 2025
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:55:48.450187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b5089da7-0dcc-4f75-b05e-e2779efb0493 · outbound
This paper cites Über Brownsche Molekularbewegung unter Einwirkung äußerer Kräfte und deren Zusammenhang mit der verallgemeinerten Diffusionsgleichung.Annalen der Physik, 353(24):1103–1112, 1916.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Über Brownsche Molekularbewegung unter Einwirkung äußerer Kräfte und deren Zusammenhang mit der verallgemeinerten Diffusionsgleichung.Annalen der Physik, 353(24):1103–1112, 1916
Reference 28
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- raw_fallback, observed 2026-08-15T19:55:48.433154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9b078d0f-2746-4401-9261-eaeca987a67c · outbound
This paper cites Cambridge University Press, 2014.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Cambridge University Press, 2014
Reference 29
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- verified fuzzy
- raw_fallback, observed 2026-08-15T19:55:48.417340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d12a09b3-9a7f-4ab8-aacb-7754177a8cc6 · outbound
This paper cites The mathematics of atmospheric dispersion modeling.Siam Review, 53(2):349– 372, 2011.
Deep Learning Surrogates for Real-Time Gas Emission Inversion The mathematics of atmospheric dispersion modeling.Siam Review, 53(2):349– 372, 2011
Reference 30
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- raw_fallback, observed 2026-08-15T19:55:48.402051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 21a1c953-bc6f-47b3-abb1-f9ea6fc0a5e0 · outbound
This paper cites Artech House, 2013.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Artech House, 2013
Reference 31
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- raw_fallback, observed 2026-08-15T19:55:48.387127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2439b718-2bff-4846-873b-b2377bfad5b4 · outbound
This paper cites an unresolved cited work.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Unresolved cited work
Reference 32
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- unresolved
- raw_fallback, observed 2026-08-15T19:55:48.372566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ae097efc-1f51-43d8-bac2-dab338648911 · outbound
This paper cites A survey of transfer learning.Journal of Big Data, 3:1–40, 2016.
Deep Learning Surrogates for Real-Time Gas Emission Inversion A survey of transfer learning.Journal of Big Data, 3:1–40, 2016
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:55:48.268475Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a304b2d-00a1-41f0-9fd6-9c4755e808e6 · outbound
This paper cites Springer Science & Business Media, 2006.
Deep Learning Surrogates for Real-Time Gas Emission Inversion Springer Science & Business Media, 2006
Reference 34
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- raw_fallback, observed 2026-08-15T19:55:48.349039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.