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Paper Citation Record · LEDGER

$\alpha$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2504.10283.

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

pith.paper-citation-record.v1
2504.10283 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:54:21.141659Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:29:56.561330Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0fb3c777-6e23-4ca6-a0fe-deb63a33ad0d · inbound

Deep Neural Networks Inspired by Differential Equations cites this paper.

Deep Neural Networks Inspired by Differential Equations $\alpha$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T10:54:21.141659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:54:21.141659Z digest=sha256:78b847bb888bd53e10e8025405bb63d87b466de782b51734d8b97dcbd4220491

Observation 15fd4f60-e5c7-46f3-9bc4-e37b6cc89f1b · inbound

Generative Modeling of Discrete Data Using Geometric Latent Subspaces cites this paper.

Generative Modeling of Discrete Data Using Geometric Latent Subspaces $\alpha$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:47:41.826442Z

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=2026-05-16T09:46:05.835850Z digest=sha256:2a335c6a49fe443ea169c5ed8e2d36b86e2e850485f4a4a06c4d54544ae1f7d6

Observation 2ae91c62-8258-481d-8cfd-1b444156360a · inbound

LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling cites this paper.

LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling $\alpha$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:50:59.536034Z

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=2026-05-10T16:26:53.241071Z digest=sha256:5bb17ac9bbba438a3c7eb6e716179fa9d47d45f526cc937405baeb91a323987a

Observation f964ae63-73a2-4c87-b6c3-78b929e3d081 · inbound

Towards Faster Language Model Inference Using Mixture-of-Experts Flow Matching cites this paper.

Towards Faster Language Model Inference Using Mixture-of-Experts Flow Matching $\alpha$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:29:24.656778Z

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=2026-05-10T10:28:00.424341Z digest=sha256:c93ba2f0237e7d62f889c07991d11e78bcff67607c1c76e896180b6cc9e44158

Observation 2ac53db0-f56b-4033-90a1-1aa0abcd585b · inbound

A Time-Reparameterized Cumulative Intensity Extrapolation Sampler for Discrete Flow Matching cites this paper.

A Time-Reparameterized Cumulative Intensity Extrapolation Sampler for Discrete Flow Matching $\alpha$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:29:56.563199Z

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=2026-06-26T00:43:23.068231Z digest=sha256:b491a48e0ac7bda76e62ca023d1dc86fe2c12ca1146902263728e44dca70caba

Observation d26bf328-f78c-4c8b-9af8-806fdf93fa55 · inbound

Variable-Length Generative Protein Design via Generalized Poisson Flow cites this paper.

Variable-Length Generative Protein Design via Generalized Poisson Flow $\alpha$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-13T00:48:08.651522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T00:48:08.651522Z digest=sha256:adf1a2ad9e413e6ea5cefa030bc97b9e8723642660a701746b5ca0dc2c4db202

Observation ea4c1f80-5755-4398-b5c4-90dcbf9b7637 · inbound

Expanding Flow Maps cites this paper.

Expanding Flow Maps $\alpha$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-01T07:05:50.126125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:05:50.126125Z digest=sha256:087b40adf6eebb9193202d46899906795db4aff37ecae0b0bd3918c4511970da