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Paper Citation Record · LEDGER

Demystifying Transition Matching: When and Why It Can Beat Flow Matching

As of 4 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2510.17991.

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

pith.paper-citation-record.v1
2510.17991 v3

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T13:27:09.343975Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

13 of 13 outbound references displayed

  • verified exact9
  • verified fuzzy2
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ac8cb034-2752-4382-ac22-0c3f665f6926 · outbound

This paper cites Goku: Flow Based Video Generative Foundation Models.

Demystifying Transition Matching: When and Why It Can Beat Flow Matching Goku: Flow Based Video Generative Foundation Models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:31:36.514398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:27:09.343975Z digest=sha256:b827aa2852065c7ffb44f39416ee62058e334e9f7b8a34e49a360cb093d8ed7d

Observation 1b27cb4d-a4b5-4508-824d-7e779f0eab26 · outbound

This paper cites Diffu- sion meets flow matching: Two sides of the same coin.

Demystifying Transition Matching: When and Why It Can Beat Flow Matching Diffu- sion meets flow matching: Two sides of the same coin

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:34:54.803718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:27:09.343975Z digest=sha256:dcdb0095e997b0572368d387bcd44a5a7d0b8f3811682c261cc38bf774d3c4ca

Observation ee0587aa-c9b9-464c-afcd-dfaf06f68c69 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

Demystifying Transition Matching: When and Why It Can Beat Flow Matching HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.530182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:27:09.343975Z digest=sha256:5dead15b4c9b8f553141e9c998b0ed49b5c7a4c633e77134ac2b08105fc25829

Observation 188a0df6-95c9-4fd1-958d-6687a6db055d · outbound

This paper cites TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models.

Demystifying Transition Matching: When and Why It Can Beat Flow Matching TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.540591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:27:09.343975Z digest=sha256:c7ba6d125aca05ecb1b3318ed1e8bbf04cd6912e816d6477d02ed3b153cf76e5

Observation 1f30bf9e-d4a3-41c3-825d-d15e62f57597 · outbound

This paper cites Explicit Flow Matching: On The Theory of Flow Matching Algorithms with Applications.

Demystifying Transition Matching: When and Why It Can Beat Flow Matching Explicit Flow Matching: On The Theory of Flow Matching Algorithms with Applications

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:31:36.535545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:27:09.343975Z digest=sha256:eaf0406fc5706d9dd41730911487473cf5b0f321c3c4ec7f4a8890f12aea40ec

Observation 89cc0c4f-15f7-4a41-93df-824e6491d7db · outbound

This paper cites Closed-Form Diffusion Models.

Demystifying Transition Matching: When and Why It Can Beat Flow Matching Closed-Form Diffusion Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:31:36.546204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:27:09.343975Z digest=sha256:2605c52e12d7661aaf5153407d795ba7bae843cb75240c1f4743f376b95c1ddc

Observation 5177adb3-8866-4c04-877a-6a6bbfc7a939 · outbound

This paper cites Transition Matching: Scalable and Flexible Generative Modeling.

Demystifying Transition Matching: When and Why It Can Beat Flow Matching Transition Matching: Scalable and Flexible Generative Modeling

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:31:36.551775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:27:09.343975Z digest=sha256:05d46c5805f26aaad81ed9f96d84a8fa7d869796cfcd712d3829b0d570e4f3dd

Observation d3315559-b975-4283-afd9-4eb4c304eed0 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

Demystifying Transition Matching: When and Why It Can Beat Flow Matching Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.524757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:27:09.343975Z digest=sha256:1aea5bda91b6076b60ef09a72aea87519434405785731fc9d9153afed1fbed8e

Observation 9ed8b793-3a49-45ed-83a2-6f904947d8bc · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Demystifying Transition Matching: When and Why It Can Beat Flow Matching Wan: Open and Advanced Large-Scale Video Generative Models

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.507935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:27:09.343975Z digest=sha256:41c7e3dde0c5f7a5a18f6eb156583c900864d8fa87a21968c99a66ec0aa48f53

Observation 68ca8475-b4f4-40cc-af71-6a9be10d1758 · outbound

This paper cites Stable Target Field for Reduced Variance Score Estimation in Diffusion Models.

Demystifying Transition Matching: When and Why It Can Beat Flow Matching Stable Target Field for Reduced Variance Score Estimation in Diffusion Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:31:36.520187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:27:09.343975Z digest=sha256:6b682f6224aded3e879ab0df6a94730b43641c3a45cdb2e6edaa5177141aad2b

Observation 66f2e971-464c-46b7-b71b-91657c1c00e4 · outbound

This paper cites The bounds on∆are obtained by noting that1−ϵ≤w(x, k)≤1, completing the proof.

Demystifying Transition Matching: When and Why It Can Beat Flow Matching The bounds on∆are obtained by noting that1−ϵ≤w(x, k)≤1, completing the proof

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:34:54.800440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:27:09.343975Z digest=sha256:cbac31ae4bc4dc1cfcc6a4907dcda17fd31c6458989f7dc1c37c65e014ff7392

Observation c9379a88-4261-4ba5-9600-d8cf1cd78754 · outbound

This paper cites an unresolved cited work.

Demystifying Transition Matching: When and Why It Can Beat Flow Matching Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-05-22T13:34:54.807048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:27:09.343975Z digest=sha256:871710309a8b4785a0b052e31a77d6c8c15d8e6902c9935a8799494738cc6a53

Observation 16dd8781-8044-4683-92b9-1138c0e2f36a · outbound

This paper cites an unresolved cited work.

Demystifying Transition Matching: When and Why It Can Beat Flow Matching Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-05-22T13:34:54.803247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:27:09.343975Z digest=sha256:ea0c8b1224c7938574fcb0951506adcaf34d874a556ccd61caf83b5e2ebe3605

Pith citing papers

No inbound Pith citation observations are available.