Pith. sign in

Paper Citation Record · LEDGER

DICE: Discrete inverse continuity equation for learning population dynamics

As of 19 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 2026-08-18T06:34:40.430872+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

  • verified exact0
  • verified fuzzy44
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:19.435202Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.244251Z digest=sha256:373cc7d3a05b5904c892e7cd0fd902bb97c9102c8d96c87828be21a1ff8f9ca9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:42:18.250069Z digest=sha256:064f2f473e9a7e721af43590ec6b5d71222a70707fbdffc08ef2d8e0bfc9b5c6

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:42:18.254800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:42:18.254800Z digest=sha256:adb8d7bd8ed067ddf80c0d8c15a2ab363d4d6004167e9b391d3a6c403684ad8d

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
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:19.405323Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.260470Z digest=sha256:3fa574540ec064a43589edfdef9af751343d3de8701b74c47d670e2c73d879bc

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:19.389060Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.265524Z digest=sha256:c466e49668143027c94531cbbc4616d9e4cf8158430b1b098af04a73d6c734c2

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:19.369749Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.272657Z digest=sha256:26a8d33aa940966648f86814e056ad733f899d20abb8168749ec8414967a5e73

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:19.351333Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.278097Z digest=sha256:518a2d6e498d833d51d3bc0c60f6cbaf7b17f2f305ba8f6ebff65bb5909fcb9e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:19.332578Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.282394Z digest=sha256:bb8a87a14fbfcd2bdc6d562264d6f51ddaaaae6866c85837726ad1d28bbbe813

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
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:19.314522Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.286803Z digest=sha256:47e61d4d305f5b2a16fe14c5434e7ae777f5e82b90987d8f8f330b045c7886d8

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:19.296246Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.291627Z digest=sha256:0f3dadd93624d49871eeb6b93aa07a7516984977f7b67a5d54e7dd141fdfd39d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:19.275012Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.296374Z digest=sha256:24c1336c5ace62fd2a6a85932195c92bb37908db4f8273530ac2504a0d2056a3

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
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:19.256595Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.301058Z digest=sha256:23654ecf06a90cdfacff432d046eb56f58ee4fb7f7ac817e091885b9242e0b1d

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
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:19.235104Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.305642Z digest=sha256:7f34956d4dfebe556d75402e55ee88aae86f1c42821c2381b2f435f4d6a9ffd2

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:19.217487Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.310412Z digest=sha256:84df12a0f4ce59ada64f83729ef46355c8ee7c50a2945f16a2f78d348b4a149a

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
raw_fallback, observed 2026-08-06T19:42:19.198551Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.314988Z digest=sha256:fdd7ed5d293bd5fe5bb0ba7bcbd8f44c870397e999dc49a2e055daec106222f9

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
raw_fallback, observed 2026-08-06T19:42:19.174849Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.320224Z digest=sha256:96701a7482dc42818cd4c0f854079889b08faf72554d17e0fc5244d05f81f984

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
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:19.156757Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.324923Z digest=sha256:6a9632777560232fe73180996d0f2c7b9e0da923a2500dac021123e2421d7427

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
raw_fallback, observed 2026-08-06T19:42:19.137012Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.329740Z digest=sha256:d5a1a8b6f2b89814a865733cc76c518f34c28fbf63baa9a911927df02038db98

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
unresolved
no resolver link, observed 2026-08-06T19:42:18.336827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:42:18.336827Z digest=sha256:3794ee3c186e3e70a26c0b73a9b3d6b75a52c1c870cc83362c772b8de825929b

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
raw_fallback, observed 2026-08-06T19:42:19.119466Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.342047Z digest=sha256:d92f2a06eb9c47e465d69c0c33bc2769251a739ce5622416e4b33f1bb81171d2

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
raw_fallback, observed 2026-08-06T19:42:19.103449Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.348169Z digest=sha256:53a26e4b919409d4426213e4c92ee88824afa1f3c54c17390788cc0e08d40063

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:19.087624Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.352856Z digest=sha256:9cca3d9c82284c45140e3788a09984fe8eab8daed4f433c5a30104b104110b97

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:42:19.071762Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.357713Z digest=sha256:0c8e4401fb9f0cc90e2c81274af61ace9fbbf6976c13ada53c504737e23e12fe

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:19.052639Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.362688Z digest=sha256:a5d90387a738f191fad7b15913083254f0c71cb1d2ffae6d9c3f3edd0c1f481b

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:19.032304Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.367969Z digest=sha256:4a4ba6f07b8f9d5ec627d7f4814383a6798cd11c52f94055ac06c5116e7fdd9e

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

This paper cites an unresolved cited work.

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

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:42:19.016873Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.372352Z digest=sha256:97164eebce7a7211b7969b9bee7955496bdb7cb4d45e41446fb1d31747eb5a0a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.999813Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.376779Z digest=sha256:42e5c35bc35d4cff8820ba55ab47d1a5292195d042a59f08ed3192b3eefc1ba5

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:42:18.984190Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.381420Z digest=sha256:51754a4c1d302664102079484bebcac69822cdd3b8822bec3952f32ee422f40f

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
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.968233Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.385685Z digest=sha256:fea805ebe4b47a992d6cb2a638a3f2a27bfca8635e399c83b323a5e6675a0ffe

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
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.951700Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.390097Z digest=sha256:7dc94641aa66d1e445e128b7cf77a5a90225c288dcc0f18464e989925129da4a

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
raw_fallback, observed 2026-08-06T19:42:18.936127Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.394538Z digest=sha256:a8d4cf66ce8df6c8c56c59a9041e013ceace26226f68d843837e953160fc3931

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.921035Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.398966Z digest=sha256:c0a3d2b00ffb00b2a2fcf6a235cda3ba8f1a8cd0d8fb69291c66f885f6c6e345

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:42:18.905863Z

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.

source=arxiv_source observed=2026-08-06T19:42:18.403679Z digest=sha256:41e960e261f19b1aa7be2e58a0bb538c010f6c0c8a15d006fa222b5dae35ff18

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

Resolution
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.408238Z digest=sha256:a5f1bfee0eb30d4d85632dcd0d1aec8df4fa773266c783f2d2c47a24352a1076

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.412900Z digest=sha256:ecb0a47f4f3a39af528def2eb070609eb3967d67823de95349b2b6132247a19a

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.417928Z digest=sha256:2c372cf822b63f27b52ec14acc4113becd2ef84f776d0d3022ee1de6648f9a7c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.422127Z digest=sha256:d1b01384aba74177f620731a8669ab7e442a87810d7ef52c2fddb3eea35aded5

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.426591Z digest=sha256:c0a02b874dec43df05e2b395e118bc948925cb6375ca2e5f5145029999265873

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.431482Z digest=sha256:bbdc950c519c14d3f77543bc2b27b85c1560b06b315b92fb46e48f0a81532d09

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.436324Z digest=sha256:1fba821b34116329da8883d345b695b52853250103242b037e527adc7a9c5ef9

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.441612Z digest=sha256:f35410249b776f09a4bd400f7bfd3990ad1ec360856e223e873c951943783ac6

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.447194Z digest=sha256:214d7d7d8a1a6f26d9c91756cf826c7bea4ae098995d825fea1930b80db092e5

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:cb54d3c96417d4e4866783a90a82e81944f1a725799335721d25640514bccaa5

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.459634Z digest=sha256:e1cba972815ee306acb0069b6c1631b2f530883172adbf1948552c5271c078d9

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.464336Z digest=sha256:5bbfe31df9afc5812103228d7e935756a21bd1a47abb051fb919eed045ddcb0d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.468957Z digest=sha256:d0b84664d6f069c7bad50be5e8b41cdc0634af3e6447ace8527225c972213cc1

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=sha256:36553fb51213301bb42871d57f58ff67e726c08920d43b5116310892c7ccaaa3

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.480169Z digest=sha256:d383aeefea527fb0c63b300d6dde89777efee2372287463ee025fc3d07981449

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.484957Z digest=sha256:877f29fff2701b666650dda7b246a9ac468cc26ddc0d078d2c81dd75aec834eb

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.489575Z digest=sha256:abcf16b610079ad1f65e50b4cc2ee2dca91f544b23e672cc7a3218b4d39d4bd9

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.495009Z digest=sha256:e4450b243f74b318a4cadf099b0a58eac6d11aaf2925de2ecefc36f09eca8abb

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.500297Z digest=sha256:f23587c8fd671ea45a598f8d52b459b8140d65fdc133fc37d9cd55bf303b5bba

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:42:18.505376Z digest=sha256:d749751b87d5e890dbdfa61be849c44ce685386b0512a2b92f4d944dae1c20b9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T18:37:44.740900Z digest=sha256:ddb72cd7ca684506d687f6d07248eef7bfa9a2c17c0a3d8ab635595cafd17153

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-12T01:20:12.816671Z digest=sha256:adfa5ae108d400a68e4d734c446a9eb7bc9e08d088110ed31f623b16afb0f7aa

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-14T20:49:26.890463Z digest=sha256:e2b1cb16b1fbed239d0c5aa49641653a5cfea5c89642228e263fda4a2bdd9667

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-20T22:20:03.150386Z digest=sha256:1a7248e1766a3412f016e5625ab0a87c989ef6a742af2155376cd0dd2d750cfb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T22:42:40.840261Z digest=sha256:bb17dd4ec3b3c7da4a87053b22aec40fec704da681d0c40d9364d97f31d115f3