Paper Citation Record · LEDGER

Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities

As of 18 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2505.01169.

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

pith.paper-citation-record.v1
2505.01169 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:31:40.988489Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

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

12 of 12 outbound references displayed

verified exact0
verified fuzzy4
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 939a8f23-5f01-44a6-90b0-abdbc5a82a9d · outbound

This paper cites Comparison with Other Losses.

Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities Comparison with Other Losses

Reference 1

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T04:31:41.100703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 12759df0-220e-4002-a5a9-ef7aa654e2d9 · outbound

This paper cites We denote the push-forward withrφs˚p.

Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities We denote the push-forward withrφs˚p

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:31:41.109918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d862d772-de76-44a5-8e15-d3ec417b1f66 · outbound

This paper cites Here,τ is a small constant, which is fixed to 0.005.

Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities Here,τ is a small constant, which is fixed to 0.005

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:31:41.050375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d0a4be40-7043-4d41-b924-ffe933cd44d5 · outbound

This paper cites Physics Informed Distillation for Diffusion Models.

Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities Physics Informed Distillation for Diffusion Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T04:31:40.960859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 497a06eb-638d-49c1-b6db-45e56de9969e · outbound

This paper cites EM Distillation for One-step Diffusion Models.

Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities EM Distillation for One-step Diffusion Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T04:31:40.964622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71677e05-0317-4b51-ba81-2045e95b5a81 · outbound

This paper cites We tried a student architecture with such layers, but we found that samples quality degraded significantly.

Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities We tried a student architecture with such layers, but we found that samples quality degraded significantly

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:31:41.090469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9e2dc652-297e-4556-bf53-459bcd0a89ba · outbound

This paper cites In the teacher,t is converted to a 1024- dimensional vector via positional encoding, which is then processed by a 2-layered MLP to yield a 1024-dimensional conditioning vector.

Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities In the teacher,t is converted to a 1024- dimensional vector via positional encoding, which is then processed by a 2-layered MLP to yield a 1024-dimensional conditioning vector

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:31:41.080593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 48070f2a-3875-47f3-8336-da1cf274e10f · outbound

This paper cites an unresolved cited work.

Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:31:41.069858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7fa9f5b1-652b-482d-9088-93c784c75870 · outbound

This paper cites an unresolved cited work.

Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:31:41.060175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dbb61527-dd81-4ebc-b454-52ae221d73ea · outbound

This paper cites Variational Inference with Normalizing Flows.

Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities Variational Inference with Normalizing Flows

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T04:31:40.957307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0714a9d-89c6-4695-9784-e4d2de63863b · outbound

This paper cites Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion.

Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-16T04:31:40.949790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8edcd66e-7868-4d47-a594-00c354c672ec · outbound

This paper cites cc/paper_files/paper/2017/file/ 6c1da886822c67822bcf3679d04369fa-Paper.

Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities cc/paper_files/paper/2017/file/ 6c1da886822c67822bcf3679d04369fa-Paper

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-16T04:31:40.954332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.