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Paper Citation Record · LEDGER

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data

As of 22 August 2026, this Paper Citation Record lists 100 of 136 outbound references and 0 inbound Pith citation observations for arXiv:2507.03174.

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

pith.paper-citation-record.v1
2507.03174 v1

Coverage vector

measured 100 of 136 reference resolution

Typed states for the displayed outbound observations.

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measured 100 of 100 standing notices

One-hop event checks from named stored sources.

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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

100 of 136 outbound references displayed

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External citation measurements

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Outbound references

Observation cb81bc48-0dd6-4eac-b545-7c7f2d532d35 · outbound

This paper cites State predictive information bottleneck.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data State predictive information bottleneck

Reference 1

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

Reference 2

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Observation 079f5fc5-5e74-4921-afa1-d6fd6a10d3bc · outbound

This paper cites Calculating protein–ligand residence times through state predictive information bottleneck based enhanced sampling.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Calculating protein–ligand residence times through state predictive information bottleneck based enhanced sampling

Reference 3

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Observation 61b4285a-67d8-4da7-8c48-6f5d2cdb357a · outbound

This paper cites Alphafold2-rave: From sequence to boltzmann ranking.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Alphafold2-rave: From sequence to boltzmann ranking

Reference 4

Resolution
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Observation b44f6487-51c4-437b-b1b4-00daeb824298 · outbound

This paper cites The information bottleneck method.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data The information bottleneck method

Reference 5

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Observation 791a433e-d13f-49bf-87ad-158435036645 · outbound

This paper cites Deep Variational Information Bottleneck.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Deep Variational Information Bottleneck

Reference 6

Resolution
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Observation 03b3a337-909a-4b34-8b30-2068769d958c · outbound

This paper cites Auto-encoding variational bayes, 2013.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Auto-encoding variational bayes, 2013

Reference 7

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Observation 1c7e16eb-f4cf-48a6-ae66-59acd99f6ac5 · outbound

This paper cites f-VAEs: Improve VAEs with Conditional Flows.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data f-VAEs: Improve VAEs with Conditional Flows

Reference 8

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Observation db9f09ca-91b9-4924-8c1c-25da95a84653 · outbound

This paper cites Score-based generative modeling in latent space.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Score-based generative modeling in latent space

Reference 9

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Observation e3cd3421-28b2-4dc0-b0f9-81eed431ad14 · outbound

This paper cites Flow Matching in Latent Space.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Flow Matching in Latent Space

Reference 10

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Observation 0c2cc5a1-b540-47e1-bcba-291d9e62bec4 · outbound

This paper cites The tilted variational autoencoder: Improving out-of-distribution detec- tion.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data The tilted variational autoencoder: Improving out-of-distribution detec- tion

Reference 11

Resolution
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Observation 5eacd44b-0afb-4d72-b4c8-d2d84fd7affa · outbound

This paper cites Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning

Reference 12

Resolution
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Observation 1c4ba876-30cd-4f36-80f2-8720389f67a1 · outbound

This paper cites Inferring phase transitions and critical exponents from limited observations with thermodynamic maps.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Inferring phase transitions and critical exponents from limited observations with thermodynamic maps

Reference 13

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Observation 23cbbbe5-5cc7-4599-9602-442b37eb1967 · outbound

This paper cites From data to noise to data for mixing physics across temperatures with generative artificial intelligence.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data From data to noise to data for mixing physics across temperatures with generative artificial intelligence

Reference 14

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Observation ad161a3e-272c-4052-b30d-76986ae444db · outbound

This paper cites Density estimation using Real NVP.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Density estimation using Real NVP

Reference 15

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Observation 8262796d-049f-494f-95cc-ca125d2c00db · outbound

This paper cites Masked autoregressive flow for density estimation.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Masked autoregressive flow for density estimation

Reference 16

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Observation 3ecef294-a48e-44dd-96f8-c8055fd0dbf5 · outbound

This paper cites Stochastic normalizing flows.Advances in neural information processing systems , 33:5933–5944, 2020.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Stochastic normalizing flows.Advances in neural information processing systems , 33:5933–5944, 2020

Reference 17

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Observation 3b83a7ca-e9fe-40da-a4ae-32bb213e4258 · outbound

This paper cites Glow: Generative flow with invertible 1x1 convolutions.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Glow: Generative flow with invertible 1x1 convolutions

Reference 18

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Observation 9525731f-6e0a-4a0a-9dc2-9717b2d49199 · outbound

This paper cites Neural spline flows.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Neural spline flows

Reference 19

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Observation 3196ebb0-5d57-44a9-8389-55e3f666409e · outbound

This paper cites Efficient molecular dynamics using geodesic integration and solvent–solute splitting.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Efficient molecular dynamics using geodesic integration and solvent–solute splitting

Reference 20

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Observation aabff9c7-2b31-411f-a6b3-8cb97991275c · outbound

This paper cites 10 residue folded peptide designed by segment statistics.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data 10 residue folded peptide designed by segment statistics

Reference 21

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Observation 2be14445-580e-4dbb-a426-2988d6ae34bb · outbound

This paper cites Structure and dynamics of the tip3p, spc, and spc/e water models at 298 k.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Structure and dynamics of the tip3p, spc, and spc/e water models at 298 k

Reference 22

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Observation 1d7f3cf4-aa80-4ab9-9190-80146483f65e · outbound

This paper cites Development and testing of the opls all-atom force field on conformational energetics and properties of organic liquids.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Development and testing of the opls all-atom force field on conformational energetics and properties of organic liquids

Reference 23

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Observation 58c1977d-9c42-4c13-874d-c708fcd3c0b5 · outbound

This paper cites Improved peptide and protein torsional energetics with the opls-aa force field.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Improved peptide and protein torsional energetics with the opls-aa force field

Reference 24

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Observation fe2d5715-57c7-4505-a7e0-9b0f08260be7 · outbound

This paper cites An evaluation of force field accuracy for the mini-protein chignolin using markov state models.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data An evaluation of force field accuracy for the mini-protein chignolin using markov state models

Reference 25

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Observation 845d7552-5e85-445b-a478-1f0ecfe4aeb2 · outbound

This paper cites Particle mesh ewald: An n log (n) method for ewald sums in large systems.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Particle mesh ewald: An n log (n) method for ewald sums in large systems

Reference 26

Resolution
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Observation 81df6786-1085-44ed-98fd-146b2ec11b01 · outbound

This paper cites Lincs: A linear constraint solver for molecular simulations.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Lincs: A linear constraint solver for molecular simulations

Reference 27

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Observation dbb392c4-5530-47a2-b0fc-129d063d5005 · outbound

This paper cites Molecular dynamics with coupling to an external bath.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Molecular dynamics with coupling to an external bath

Reference 28

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Observation 86a9e5cb-4153-4581-914c-6e2f6a8e3d37 · outbound

This paper cites Strain fluctuations and elastic constants.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Strain fluctuations and elastic constants

Reference 29

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Observation 428a3bba-6486-487a-9fa7-a242ebaf9967 · outbound

This paper cites Gromacs: High performance molecular simulations through multi-level parallelism from laptops to supercomputers.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Gromacs: High performance molecular simulations through multi-level parallelism from laptops to supercomputers

Reference 30

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

Reference 31

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

Reference 32

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

Reference 33

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Observation 2d2a9f7a-4aec-4175-920b-76664ed69081 · outbound

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

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Observation 33e3cee1-3005-46da-9d19-c366f899a900 · outbound

This paper cites Pengmei, C.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Pengmei, C

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Observation 7a2996c2-6bf0-49e1-aa71-79d4de6461b4 · outbound

This paper cites Wu and F.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Wu and F

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Observation d2007ddc-6ecd-4b04-8c89-7bf50dc99859 · outbound

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

Reference 40

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Observation 72b439a4-0760-40f9-9212-0f4962547e96 · outbound

This paper cites Köhler, L.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Köhler, L

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Observation bdd6b211-b0b7-4b44-ab51-6865f8ed887d · outbound

This paper cites Dibak, L.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Dibak, L

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Observation 457f02c3-c46f-408b-9ffd-2b74846b125d · outbound

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Transferable Boltzmann Generators

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Observation 693cf682-23e3-4b67-807e-b914501fb639 · outbound

This paper cites Zheng, J.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Zheng, J

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Observation 5e32ccf1-df14-4b3c-84bb-4dedeffe7414 · outbound

This paper cites Moqvist, W.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Moqvist, W

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Observation 03271896-c1e3-4188-a9ae-004bcb7992ff · outbound

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

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Observation 4d8ad1cf-65f5-42f2-8c50-4f028daa1050 · outbound

This paper cites Herron, K.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Herron, K

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Observation e672ef76-38a8-4a48-ad1b-8a430b52c0e7 · outbound

This paper cites Exponentially Tilted Thermodynamic Maps (expTM): Predicting Phase Transitions Across Temperature, Pressure, and Chemical Potential.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Exponentially Tilted Thermodynamic Maps (expTM): Predicting Phase Transitions Across Temperature, Pressure, and Chemical Potential

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Observation 101a0ab8-ae40-433e-9878-794d51b453e7 · outbound

This paper cites Inferring the Isotropic-nematic Phase Transition with Generative Machine Learning.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Inferring the Isotropic-nematic Phase Transition with Generative Machine Learning

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Observation 44bff7fe-bfca-4aef-a339-5c44a7aa2368 · outbound

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

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Observation d254bfb4-eebc-4ea7-b0bb-8831c6a737ba · outbound

This paper cites Biroli, T.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Biroli, T

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Observation f79faa43-984a-43f1-a116-02e82602159c · outbound

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

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Observation f2d917e9-0594-41b8-8286-05781bf2d8ee · outbound

This paper cites Vahdat, K.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Vahdat, K

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Observation 5940380a-ee55-47b3-a1f4-b8a4662a4c10 · outbound

This paper cites Rombach, A.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Rombach, A

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Observation 33b766d5-0db4-45cd-b88a-95cf7d2af552 · outbound

This paper cites Papamakarios, E.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Papamakarios, E

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Observation 4f778f1b-13df-46aa-b3fe-4dc596d487e7 · outbound

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Wirnsberger, A

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Observation 17cf1a23-4221-4b60-879d-f0e4a94c7253 · outbound

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Rizzi, P

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Observation b429e378-d279-4535-b047-85309565db01 · outbound

This paper cites Olehnovics, Y.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Olehnovics, Y

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Observation 3ec5245e-f869-487a-8d7c-343c8e0423db · outbound

This paper cites A Boltzmann generator for the isobaric-isothermal ensemble.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data A Boltzmann generator for the isobaric-isothermal ensemble

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Observation 93fb85ab-ff17-4370-a03e-64abcf700067 · outbound

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

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Observation a576cc32-2e7c-46ec-9c87-ce1fd6ec5628 · outbound

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Floto, S

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Observation 26fed6f4-29b5-4965-a24c-7e59d6418c16 · outbound

This paper cites Prinz, H.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Prinz, H

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Observation 22ae6b4b-d971-4603-b23a-78a1ddd8ec9c · outbound

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

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Observation c639a820-e273-4d37-a216-7208d84128eb · outbound

This paper cites Shoemake, Animating rotation with quaternion curves, Proceedings of the 12th annual conference on Computer graphics and interactive techniques , 245 (1985).

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Shoemake, Animating rotation with quaternion curves, Proceedings of the 12th annual conference on Computer graphics and interactive techniques , 245 (1985)

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Observation 711ead7d-cc0a-4da4-823d-a40cea36125e · outbound

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Honda, K

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Observation 0e1055aa-d27d-4168-8fc5-ad966140ffd9 · outbound

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Observation 0f7f2e75-3d58-4668-b9fa-59fd951bfc24 · outbound

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

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Observation 471643c8-cbba-4948-bd3a-b42ffc907a95 · outbound

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

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Observation 9f8d5d97-b7fb-433e-84a6-72932d76e130 · outbound

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Trizio, P

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Observation 9036db64-afea-4f5c-9a8c-be3db42ef849 · outbound

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

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Observation ecc6e34a-075c-49f1-a243-eff14fd2ea77 · outbound

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Metzner, F

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Observation 26ce7e10-59ea-471a-84b7-ae26dbc66e4a · outbound

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Janson, A

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Observation 4a2a9c66-d54e-436b-b779-25f6f1afdef2 · outbound

This paper cites an unresolved cited work.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

Reference 76

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Observation 28caecfc-0c29-43b1-8e48-cb3bafd615e9 · outbound

This paper cites Schwerdtfeger and D.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Schwerdtfeger and D

Reference 77

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Observation 2df5cb1a-f262-4dc8-a085-62ebb0cc8243 · outbound

This paper cites an unresolved cited work.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

Reference 78

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Observation 69242d04-d919-430c-9388-f2b7c1f0f03e · outbound

This paper cites an unresolved cited work.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

Reference 79

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Observation 8bf7701b-0403-4c45-b9d1-c341625e4d4e · outbound

This paper cites Frauenfelder, S.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Frauenfelder, S

Reference 80

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Observation 098e35bf-4c4b-44ff-8308-36b84b0bd274 · outbound

This paper cites an unresolved cited work.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

Reference 81

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Observation d05695ac-ebe1-4cc2-a5a9-600963980b4c · outbound

This paper cites Chen and K.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Chen and K

Reference 82

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Observation 951b4a93-adc9-41b9-853b-21277895e5c9 · outbound

This paper cites Kuhrova, R.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Kuhrova, R

Reference 83

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Observation 9c20e1d1-4dc0-42e4-907d-7669cac3b10e · outbound

This paper cites Pagnani, G.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Pagnani, G

Reference 84

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source=pdf_text observed=2026-08-06T20:23:17.851207Z digest=sha256:f1fde38351490dbf5cd62f01ce495f1c75ddb3286c6c2c399b1de37c4f7bfc3d

Observation f8e8bb5f-906f-4e51-a9ae-e350011507e6 · outbound

This paper cites Chakraborty, R.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Chakraborty, R

Reference 85

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Observation fa2b3c0a-b288-4c1e-8d53-d81d128b17a7 · outbound

This paper cites an unresolved cited work.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

Reference 86

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Observation 794e5b33-7834-4635-95c7-297d72c9c49d · outbound

This paper cites Rahimi, P.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Rahimi, P

Reference 87

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Observation 965294e9-e08f-4a48-836f-03768f81111f · outbound

This paper cites Boccalini, Y.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Boccalini, Y

Reference 88

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Observation 34a75ea2-1c05-41fe-a1de-7319325bf054 · outbound

This paper cites Bottaro, A.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Bottaro, A

Reference 89

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Observation c0301f6c-bcff-4240-8f26-71c19e4cf1e1 · outbound

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

Reference 90

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source=pdf_text observed=2026-08-06T20:23:18.716592Z digest=sha256:da013464a090d5b91fdc5474fdf2cf2c4ef0f54e29fb76da7d20df3f66c10984

Observation cf7a03f2-0b72-4b7f-8ffb-22090b6b6f0a · outbound

This paper cites Vangaveti, S.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Vangaveti, S

Reference 91

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Observation 867cb49b-edb8-4511-9562-8100b11bab9e · outbound

This paper cites Sponer, G.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Sponer, G

Reference 92

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Observation 81ffa7ee-061f-48df-925d-c40423d2570f · outbound

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Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

Reference 93

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source=pdf_text observed=2026-08-06T20:23:19.029908Z digest=sha256:0eac29297b79ee6c9556904e4b228e32990582a0566c71a5d2b33b8c4d3b4ff6

Observation ad90b8bd-e7d5-425a-a75b-9d86cfb265a9 · outbound

This paper cites Frassek, A.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Frassek, A

Reference 94

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source=pdf_text observed=2026-08-06T20:23:19.111874Z digest=sha256:d1f36b640eca7831f370195833abed18b7a23df92637b2524b566f4dfaadc94e

Observation eec49983-9242-40a9-aefb-f659bfd8ec6a · outbound

This paper cites Lemke and C.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Lemke and C

Reference 95

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:23:19.214490Z digest=sha256:eeacee8065c2f93709ff4801455e97017b6a2bb822e4d3f1811e4e7a432d7497

Observation b7929865-3d10-4f93-8c5b-6b9227764af0 · outbound

This paper cites Flow Matching for Generative Modeling.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Flow Matching for Generative Modeling

Reference 96

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source=pdf_text observed=2026-08-06T20:23:19.285280Z digest=sha256:c6b9a066b75e9396db1d3fca67322292bbc09c6ce1d0942d46be42620ed37b98

Observation 8b77de24-7692-46b7-bb45-fd60482d1279 · outbound

This paper cites an unresolved cited work.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

Reference 97

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source=pdf_text observed=2026-08-06T20:23:19.374493Z digest=sha256:265f2503ba86398c4cab7363b568b48a9e0006a75e3eabe60701d087a68993ba

Observation f40f18f0-7318-418c-97ba-184dfb5b2af2 · outbound

This paper cites Denoising Diffusion Implicit Models.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Denoising Diffusion Implicit Models

Reference 98

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source=pdf_text observed=2026-08-06T20:23:19.444863Z digest=sha256:a54c59dbf0d49948cf3dd4fd65a1015f717e0f40dd45aaaa79d98288fe911339

Observation 66759737-c705-4713-a493-9332e450b7a3 · outbound

This paper cites Metzner, C.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Metzner, C

Reference 99

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:23:19.517679Z digest=sha256:be358febf1d96b0617b3933337105dddf4d5a8728467e6b7f061b0ebf52e69b1

Observation c3d380cd-4062-4631-900e-cbca302f8bcd · outbound

This paper cites an unresolved cited work.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

Reference 100

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raw_fallback, observed 2026-08-06T20:23:38.547830Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:23:19.605306Z digest=sha256:8830eba1b8612070fb2beadc34fd9e1912c5eefc3b3e6a4102465a9e0e4d8e36

Observation 146ec4f3-0e1d-40eb-a564-686ff0cec4fa · outbound

This paper cites an unresolved cited work.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

Reference 101

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:23:19.694235Z digest=sha256:b318a636a04278151b6c98787610fb14fb1b6a46e95fbe4c50c5b345bd990ce9

Observation c03b2b73-1ce7-4474-9c2b-9659937f4893 · outbound

This paper cites Mark and L.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Mark and L

Reference 102

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:23:19.769705Z digest=sha256:4b84a602b47da9bd41172360d02b2808e32864de49efa8c0fdc96f84919fb294

Observation 762b13a4-c19f-4817-910f-66ca4adbed0c · outbound

This paper cites an unresolved cited work.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Unresolved cited work

Reference 103

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:23:19.857609Z digest=sha256:23b6d7ef4eae1eabd21d8e36ad64ab7cb7a995b4f00195b7a6b76a37fa821c9e

Pith citing papers

No inbound Pith citation observations are available.