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Paper Citation Record · LEDGER

Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points

As of 16 August 2026, this Paper Citation Record lists 1 of 1 outbound references and 4 inbound Pith citation observations for arXiv:2508.04351.

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

pith.paper-citation-record.v1
2508.04351 v1

Coverage vector

measured 1 of 1 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:54:39.311791Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:51:55.702816Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T08:35:32.324119Z

Reference resolution

1 of 1 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c5d655c3-8c3d-4b3a-9327-e074fa6052ef · outbound

This paper cites Is the cortical dynamics ergodic? A numerical study in partially symmetric networks of spiking neurons.

Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points Is the cortical dynamics ergodic? A numerical study in partially symmetric networks of spiking neurons

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:54:39.633032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T00:54:39.311791Z digest=sha256:ca866caa56442b645453d34cc4a168702e15a4d0e20c11050c552f8cb436eec9

Pith citing papers

Observation d7621163-164d-47da-b0ce-f7dd3f7c6f33 · inbound

CT-OT Flow: Estimating Continuous-Time Dynamics from Discrete Temporal Snapshots cites this paper.

CT-OT Flow: Estimating Continuous-Time Dynamics from Discrete Temporal Snapshots Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-22T02:24:30.937788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-22T02:22:57.536398Z digest=sha256:38130ae7519d50cc556a389d196e8f9fabc70e2f0152ab569124f1b12e95c3e8

Observation dd4f57f2-965d-44e1-8cd6-75e185e180c9 · inbound

CT-OT Flow: Estimating Continuous-Time Dynamics from Discrete Temporal Snapshots cites this paper.

CT-OT Flow: Estimating Continuous-Time Dynamics from Discrete Temporal Snapshots Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:35:32.327529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-25T08:35:05.422005Z digest=sha256:f1b5e547bdf3c1b7903fabaf7ac405a4851ec367fc171819a2a739a2f31f6dca

Observation 01fc928a-64d8-45a8-8c52-fcea4a3431cc · inbound

Is Flow Matching Just Trajectory Replay for Sequential Data? cites this paper.

Is Flow Matching Just Trajectory Replay for Sequential Data? Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:22:27.392993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-16T06:22:23.161815Z digest=sha256:fd4fa6b16559f4fbefb2a0e6b1536b65a52acbd3dab7396eb0a2d7d3a06c2d40

Observation df4e8c04-7014-41d1-92e5-7ae78b7e49bd · inbound

Trajectory inference via Acceleration Matching cites this paper.

Trajectory inference via Acceleration Matching Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T14:51:55.702816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:51:55.702816Z digest=sha256:21e809629e686c8d192b5c3243f61e6979f6a519ba867d5818abcac89d12f649