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Paper Citation Record · LEDGER

DICE: Discrete inverse continuity equation for learning population dynamics

As of 8 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 5 inbound Pith citation observations for arXiv:2507.05107.

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

pith.paper-citation-record.v1
2507.05107 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:42:18.505376Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T22:42:40.840261Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:44:01.353689Z

Reference resolution

53 of 53 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92aa8f0e-31ae-458a-acd2-250aff115b2e · outbound

This paper cites Marsden, and Tudor Ratiu.

DICE: Discrete inverse continuity equation for learning population dynamics Marsden, and Tudor Ratiu

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5ec4e842-96cf-4c13-a9f9-6ca9266ac8b3 · outbound

This paper cites Albergo and Eric Vanden-Eijnden.

DICE: Discrete inverse continuity equation for learning population dynamics Albergo and Eric Vanden-Eijnden

Reference 2

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no resolver link, observed 2026-08-06T19:42:18.250069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a749a958-13b9-496b-afa7-c13f1788a948 · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

DICE: Discrete inverse continuity equation for learning population dynamics Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1c35f2a1-37a4-4983-84cc-5632a48fd537 · outbound

This paper cites Alligood, Tim D.

DICE: Discrete inverse continuity equation for learning population dynamics Alligood, Tim D

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0932cb23-5117-4b2f-a884-98688470f23a · outbound

This paper cites Gradient Flows.

DICE: Discrete inverse continuity equation for learning population dynamics Gradient Flows

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d96147ca-5255-47a1-ae07-8143fc43a6a5 · outbound

This paper cites A simple proof of the Poincaré inequality for a large class of probability measures.

DICE: Discrete inverse continuity equation for learning population dynamics A simple proof of the Poincaré inequality for a large class of probability measures

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4d804532-5e84-4a9e-9bf1-ea2c93faaff4 · outbound

This paper cites A computational fluid mechanics solution to the Monge - Kantorovich mass transfer problem.

DICE: Discrete inverse continuity equation for learning population dynamics A computational fluid mechanics solution to the Monge - Kantorovich mass transfer problem

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c1a9034e-1a03-4f34-b583-b1c08b923708 · outbound

This paper cites Gallouët, and François-Xavier Vialard.

DICE: Discrete inverse continuity equation for learning population dynamics Gallouët, and François-Xavier Vialard

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 74c9e192-2714-4170-9ffc-fb7395fabe89 · outbound

This paper cites A survey of projection-based model reduction methods for parametric dynamical systems.

DICE: Discrete inverse continuity equation for learning population dynamics A survey of projection-based model reduction methods for parametric dynamical systems

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4166a84d-fd5f-45c5-b770-725f2efbc6b7 · outbound

This paper cites Parametric model reduction of mean-field and stochastic systems via higher-order action matching.

DICE: Discrete inverse continuity equation for learning population dynamics Parametric model reduction of mean-field and stochastic systems via higher-order action matching

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c332b139-6ea3-409c-9dd5-716a61b5f5e5 · outbound

This paper cites A registration method for reduced basis problems using linear optimal transport.

DICE: Discrete inverse continuity equation for learning population dynamics A registration method for reduced basis problems using linear optimal transport

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 50d3e388-713f-4bb3-a904-71cb38514ed7 · outbound

This paper cites Supervised training of conditional Monge maps.

DICE: Discrete inverse continuity equation for learning population dynamics Supervised training of conditional Monge maps

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 48ce603d-4af8-4fa1-b547-a2607b0be7df · outbound

This paper cites Proximal optimal transport modeling of population dynamics.

DICE: Discrete inverse continuity equation for learning population dynamics Proximal optimal transport modeling of population dynamics

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7b183162-8293-4ed5-adc8-485fca84a895 · outbound

This paper cites Deep momentum multi-marginal S chr\" o dinger bridge.

DICE: Discrete inverse continuity equation for learning population dynamics Deep momentum multi-marginal S chr\" o dinger bridge

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation da343cd0-2d11-4a26-8f79-3621ad047ef2 · outbound

This paper cites Fast and smooth interpolation on wasserstein space.

DICE: Discrete inverse continuity equation for learning population dynamics Fast and smooth interpolation on wasserstein space

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ff37be7c-a28e-4004-be8f-ae3bd370ddf6 · outbound

This paper cites Nonlinear model reduction on metric spaces.

DICE: Discrete inverse continuity equation for learning population dynamics Nonlinear model reduction on metric spaces

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 428ee039-f59b-484e-9e38-230877022ff7 · outbound

This paper cites Second order analysis on ( P _2(M), W_2 ).

DICE: Discrete inverse continuity equation for learning population dynamics Second order analysis on ( P _2(M), W_2 )

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 056336b6-8059-4c02-9aa9-3b0b08d4d4e1 · outbound

This paper cites Trudinger.

DICE: Discrete inverse continuity equation for learning population dynamics Trudinger

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 82cc4f49-6f28-4686-8ec1-1e86afb803cc · outbound

This paper cites Trajectory Inference with Smooth Schr\"odinger Bridges.

DICE: Discrete inverse continuity equation for learning population dynamics Trajectory Inference with Smooth Schr\"odinger Bridges

Reference 19

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e3f5236a-c4f3-498d-8c2b-970d8872682b · outbound

This paper cites Mapping of coherent structures in parameterized flows by learning optimal transportation with Gaussian models.

DICE: Discrete inverse continuity equation for learning population dynamics Mapping of coherent structures in parameterized flows by learning optimal transportation with Gaussian models

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 55e1d6b6-8a87-4963-9081-0cc025c07f53 · outbound

This paper cites The variational formulation of the Fokker -- Planck equation.

DICE: Discrete inverse continuity equation for learning population dynamics The variational formulation of the Fokker -- Planck equation

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e698bc90-b3df-4960-b71b-eef2d6bcfb7a · outbound

This paper cites Optimal transport–inspired deep learning framework for slow-decaying K olmogorov n -width problems: E xploiting S inkhorn loss and W asserstein kernel.

DICE: Discrete inverse continuity equation for learning population dynamics Optimal transport–inspired deep learning framework for slow-decaying K olmogorov n -width problems: E xploiting S inkhorn loss and W asserstein kernel

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a9129e3d-0a5e-49f5-a7ef-055244ca94eb · outbound

This paper cites an unresolved cited work.

DICE: Discrete inverse continuity equation for learning population dynamics Unresolved cited work

Reference 23

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fe798559-ea8b-40c4-a192-29250e84168c · outbound

This paper cites Toward a mathematical theory of trajectory inference.

DICE: Discrete inverse continuity equation for learning population dynamics Toward a mathematical theory of trajectory inference

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 37e32cea-6de6-42e1-8ad3-e2b35b62c94d · outbound

This paper cites Deep JKO : Time -implicit particle methods for general nonlinear gradient flows.

DICE: Discrete inverse continuity equation for learning population dynamics Deep JKO : Time -implicit particle methods for general nonlinear gradient flows

Reference 25

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 810e070e-5ba4-4d42-b66e-57571804bd61 · outbound

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DICE: Discrete inverse continuity equation for learning population dynamics Unresolved cited work

Reference 26

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e2d463fc-48dd-4b1e-a685-7938145e0752 · outbound

This paper cites Flow Straight and Fast : Learning to generate and transfer data with rectified flow.

DICE: Discrete inverse continuity equation for learning population dynamics Flow Straight and Fast : Learning to generate and transfer data with rectified flow

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 462f15ef-6d09-45f0-9cb1-b683db2a062f · outbound

This paper cites an unresolved cited work.

DICE: Discrete inverse continuity equation for learning population dynamics Unresolved cited work

Reference 28

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4c23dbf5-a697-4a26-9fb6-9480dcc24f25 · outbound

This paper cites A survey of the Schrödinger problem and some of its connections with optimal transport.

DICE: Discrete inverse continuity equation for learning population dynamics A survey of the Schrödinger problem and some of its connections with optimal transport

Reference 29

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 54db64c5-b423-40a5-9b79-5511af8f5c1a · outbound

This paper cites Ergodicity for SDEs and approximations: locally Lipschitz vector fields and degenerate noise.

DICE: Discrete inverse continuity equation for learning population dynamics Ergodicity for SDEs and approximations: locally Lipschitz vector fields and degenerate noise

Reference 30

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bcfa98d1-42c9-4df2-b91b-409515e8f7f1 · outbound

This paper cites Sampling in unit time with kernel F isher-rao flow.

DICE: Discrete inverse continuity equation for learning population dynamics Sampling in unit time with kernel F isher-rao flow

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6213a6af-c4f9-45d3-bdcd-29236618916b · outbound

This paper cites Almost sure invariance principle for nonuniformly hyperbolic systems.

DICE: Discrete inverse continuity equation for learning population dynamics Almost sure invariance principle for nonuniformly hyperbolic systems

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.398966Z digest=sha256:f8658d95a56788274b8917c76eb1c74b1bf1bc9cf9d49c08f06778c67b3d427b

Observation 8ba6c147-92d2-4181-870d-ac88c8796306 · outbound

This paper cites Large deviations for nonuniformly hyperbolic systems.

DICE: Discrete inverse continuity equation for learning population dynamics Large deviations for nonuniformly hyperbolic systems

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.403679Z digest=sha256:c0c82090844076c697180806f30ac788a88a2ab05b0e2f1e09a721a2934f4ba3

Observation c9844a73-d166-44d8-8054-7a80fbef728f · outbound

This paper cites Thiéry, Kainan Wang, and Tan Bui-Thanh.

DICE: Discrete inverse continuity equation for learning population dynamics Thiéry, Kainan Wang, and Tan Bui-Thanh

Reference 34

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raw_fallback, observed 2026-08-06T19:42:18.889833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.408238Z digest=sha256:cc593323b57a7309694b8ac63c5df3d74f149ade077baa8677dd5d260c97ed33

Observation 2f730f01-855c-48e7-a330-906c8599ca60 · outbound

This paper cites Action Matching : Learning stochastic dynamics from samples.

DICE: Discrete inverse continuity equation for learning population dynamics Action Matching : Learning stochastic dynamics from samples

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.873504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.412900Z digest=sha256:0e197a27a7e4f25944247db8dd1b0ba9c49caf5682c3397ac36d4535accbcf63

Observation 86d2bd1f-a5ef-4453-893f-9cc06e1a88ea · outbound

This paper cites OT-Flow : Fast and accurate continuous normalizing flows via optimal transport.

DICE: Discrete inverse continuity equation for learning population dynamics OT-Flow : Fast and accurate continuous normalizing flows via optimal transport

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.857852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.417928Z digest=sha256:76723249c2eb865211a92071350b4173a91f7b4d8138966465248e79904da6cc

Observation 4bbc1c8d-f544-41f9-85b4-aea8e59e55fd · outbound

This paper cites The geometry of dissipative evolution equations: the porous medium equation.

DICE: Discrete inverse continuity equation for learning population dynamics The geometry of dissipative evolution equations: the porous medium equation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.841535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.422127Z digest=sha256:6e891ee022866266545dd292320bdc99e6a53762d7d3cb348c431f09d05bfea8

Observation 4ab60154-235f-4288-9037-62b9301822df · outbound

This paper cites Peherstorfer.

DICE: Discrete inverse continuity equation for learning population dynamics Peherstorfer

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.823425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.426591Z digest=sha256:1adc514d7f2e320c4d872ddcc2c5d008828c7f2b75d6609153cf4071fde5828d

Observation 5f678268-2cac-47d1-86d2-328b7a995808 · outbound

This paper cites High- Order structure-preserving algorithms for plasma hybrid models.

DICE: Discrete inverse continuity equation for learning population dynamics High- Order structure-preserving algorithms for plasma hybrid models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.806892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.431482Z digest=sha256:c4701104c2c16a4ad13e577c93e1b8d614c3278d5c6399ae8bd39d310e06e638

Observation deada3ae-5d68-460a-b8f9-a0654e688d8d · outbound

This paper cites A nonparametric ensemble transform method for Bayesian inference.

DICE: Discrete inverse continuity equation for learning population dynamics A nonparametric ensemble transform method for Bayesian inference

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.787451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.436324Z digest=sha256:19f9acd07e5e5f9e2ea61b55f1dee5c66e4fb839715c80659ad931115bc3854c

Observation 85e2c77e-cd14-4f7e-97d8-bbe34662c47e · outbound

This paper cites A nine-dimensional Lorenz system to study high-dimensional chaos.

DICE: Discrete inverse continuity equation for learning population dynamics A nine-dimensional Lorenz system to study high-dimensional chaos

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.770851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.441612Z digest=sha256:33da21c0e760929364f4df3f9886625a3826094fd96e31896bfbc3496a1f05d7

Observation 5da8877b-85a1-42f3-82b6-3f911a652fd4 · outbound

This paper cites an unresolved cited work.

DICE: Discrete inverse continuity equation for learning population dynamics Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:42:18.754593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.447194Z digest=sha256:e04bc01bc52c3eb3adac0c78d30d3e733a8c1963bf4cf0f1658f37cbd9e54c3f

Observation dbbb23aa-216a-40a0-b8ae-1fe7e8703a1e · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

DICE: Discrete inverse continuity equation for learning population dynamics High-resolution image synthesis with latent diffusion models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T19:42:18.454378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:42:18.454378Z digest=sha256:90a58b53c7230f4b4325e23ab91d2758a968935b426314f3681c5b3249f14d69

Observation b9699c69-9913-4b27-a77e-a031bdd551ea · outbound

This paper cites Rozza, D.

DICE: Discrete inverse continuity equation for learning population dynamics Rozza, D

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.728199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.459634Z digest=sha256:b32786ba6fd193f5d6399d0cd859c75534e60dfcbc6ea5acc37ddd365a4fe14b

Observation f8dab3c7-e831-4065-ba2f-901b36b8efa8 · outbound

This paper cites Fast hybrid tempered ensemble transform filter formulation for Bayesian elliptical problems via Sinkhorn approximation.

DICE: Discrete inverse continuity equation for learning population dynamics Fast hybrid tempered ensemble transform filter formulation for Bayesian elliptical problems via Sinkhorn approximation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.711923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.464336Z digest=sha256:97f3c76b3b928d3d68f66fb040eb38ebefebbbf37b1f4b7f7e65466da12c81e6

Observation f07fd2a6-7753-444b-af81-e70a9b8b293a · outbound

This paper cites Optimal Transport for Applied Mathematicians, volume 87 of Progress in Nonlinear Differential Equations and Their Applications.

DICE: Discrete inverse continuity equation for learning population dynamics Optimal Transport for Applied Mathematicians, volume 87 of Progress in Nonlinear Differential Equations and Their Applications

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.695934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.468957Z digest=sha256:0e72e89d6afb32eb0dba08558f0a506355495c68d8aae8bf74a9ed69b51cef12

Observation ba2cb2ba-af12-41be-b6cb-b36af39581c9 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

DICE: Discrete inverse continuity equation for learning population dynamics Generative modeling by estimating gradients of the data distribution

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T19:42:18.475624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:42:18.475624Z digest=sha256:792549defda8b471cc7ad782f81f6b4b5d338787dd96ec119d6ac88c28e63d72

Observation ef57e4eb-aa4f-4616-a0dc-02f1471c0e85 · outbound

This paper cites Learning diffusion at lightspeed.

DICE: Discrete inverse continuity equation for learning population dynamics Learning diffusion at lightspeed

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.667410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.480169Z digest=sha256:cc37081deaf3aff2e02d13b7264d344dc177262b7c4529d9f94032b34e167871

Observation c0b3da4c-509f-4516-9988-bce315d172db · outbound

This paper cites Liouville flow importance sampler.

DICE: Discrete inverse continuity equation for learning population dynamics Liouville flow importance sampler

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.650717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.484957Z digest=sha256:5d482716c3e55a0b31aef7d5c7fb91fdd40847963c3f37266705c5708a18eb24

Observation f0e1a922-566b-49a2-853d-237dbee02c8e · outbound

This paper cites T rajectory N et: A dynamic optimal transport network for modeling cellular dynamics.

DICE: Discrete inverse continuity equation for learning population dynamics T rajectory N et: A dynamic optimal transport network for modeling cellular dynamics

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.634501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.489575Z digest=sha256:1d5b5199b223631c9bd661a352efb8bf230ca8d0bf0898e4b3dd4e13fde4ad3b

Observation 183b977a-750f-4064-85c6-274452df43b8 · outbound

This paper cites The Lorenz attractor exists.

DICE: Discrete inverse continuity equation for learning population dynamics The Lorenz attractor exists

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.617990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.495009Z digest=sha256:4dad28998a28aaa9f3f6397e6a8b0e4bb4e60b57353a9ab3c48158421fae6f40

Observation 55d7813f-555b-4296-93ac-918ba6e39a88 · outbound

This paper cites Optimal transport: old and new.

DICE: Discrete inverse continuity equation for learning population dynamics Optimal transport: old and new

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.602442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.500297Z digest=sha256:f5c03a6e38e63c03b874af72aa27575165920c14d1bf65e17befad9d91ba9e7f

Observation 4adf0ef3-2dc7-40fd-ae04-790d86c0f318 · outbound

This paper cites Topics in optimal transportation.

DICE: Discrete inverse continuity equation for learning population dynamics Topics in optimal transportation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.586004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.505376Z digest=sha256:6d9e424ea0ef6218bdbac31a3f78160f2b3142ea7ab465e670d2c7940bd089d5

Pith citing papers

Observation f36ba70e-2c93-49bb-8a03-d30ebf1feb2a · inbound

On the Unique Recovery of Transport Maps and Vector Fields from Finite Measure-Valued Data cites this paper.

On the Unique Recovery of Transport Maps and Vector Fields from Finite Measure-Valued Data DICE: Discrete inverse continuity equation for learning population dynamics

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:15:53.901775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T18:37:44.740900Z digest=sha256:a5d6617a63c3d443f5a1388bf1403ea45e4cf1399a92f79a56d919e01b311cc7

Observation 8d2f7063-be73-4957-a167-d9276c1a0126 · inbound

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots DICE: Discrete inverse continuity equation for learning population dynamics

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:06:27.122156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T01:20:12.816671Z digest=sha256:d9346eec68c7e9b46e8703e09ee8c2818f7e0f979b19ae8bebc952f506eb881e

Observation daa62fc2-b4ff-4bc3-a9e8-1918280354a2 · inbound

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots DICE: Discrete inverse continuity equation for learning population dynamics

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:52:59.181624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-14T20:49:26.890463Z digest=sha256:d647bbe1898c2d4584f7fe477ec0f7fcdff06d825b8e7af4f5a8b91e11bf2fb8

Observation bee8af92-fdbf-46b6-941b-3053430d12b2 · inbound

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots DICE: Discrete inverse continuity equation for learning population dynamics

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:23:48.127621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T22:20:03.150386Z digest=sha256:75612710e1264ded0cd5c9c844ecd5f069f380aa0d38ff2b4b9751820dd65c7e

Observation 3a9fa223-37d7-432f-bd71-fdc9ff378dc5 · inbound

Two-Parameter Flows for Learning Population Dynamics of Physical Systems cites this paper.

Two-Parameter Flows for Learning Population Dynamics of Physical Systems DICE: Discrete inverse continuity equation for learning population dynamics

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T22:44:01.355173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T22:42:40.840261Z digest=sha256:1954a1ec77605c7b03dbd7aec025fcff5e11e71bcc94d246c586aa7eea5ee59e