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Paper Citation Record · LEDGER

Unified Continuous Generative Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2505.07447.

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

pith.paper-citation-record.v1
2505.07447 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:19:54.482983Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T10:11:01.756825Z

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 013941b4-868a-44bf-966b-d9b4378790f2 · inbound

Transition Models: Rethinking the Generative Learning Objective cites this paper.

Transition Models: Rethinking the Generative Learning Objective Unified Continuous Generative Models

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-05T10:19:54.482983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:19:54.482983Z digest=sha256:a8b6f3c3cef3dcc85f5ff19fd66116ccd4f369b4dbb4ca6f3f0dad2e66f8c0fd

Observation 0611a257-3859-4b29-a303-08abf920d6f7 · inbound

Transition Matching Distillation for Fast Video Generation cites this paper.

Transition Matching Distillation for Fast Video Generation Unified Continuous Generative Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-03T10:35:06.599060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:35:06.599060Z digest=sha256:f67a5fdd4b3d09c28cb3c4e19a8948a2345986c3800c55b5f9ab478d8cbcd2da

Observation df2a2ba1-251c-4ded-85c3-2da0c3cdb4e2 · inbound

Stabilizing Consistency Training: A Flow Map Analysis and Self-Distillation cites this paper.

Stabilizing Consistency Training: A Flow Map Analysis and Self-Distillation Unified Continuous Generative Models

Reference 6851

Resolution
unresolved
no resolver link, observed 2026-08-03T06:33:25.026644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:33:25.026644Z digest=sha256:44a10e0b182a091ac08188b67090ec0631aa38dc327f6e761ae27b73b505d651

Observation 7b194ae7-4857-420d-9e05-34282f6b6f50 · inbound

Self-Adversarial One Step Generation via Condition Shifting cites this paper.

Self-Adversarial One Step Generation via Condition Shifting Unified Continuous Generative Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:11:01.760247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:37:36.994169Z digest=sha256:693ee22f45e228baa25c1ab16940d53c2ebee12fad3877b234f82fc1ae4b3371

Observation acf92aee-f3a4-4b3a-8348-b4d9862dfa14 · inbound

LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model cites this paper.

LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model Unified Continuous Generative Models

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T00:49:48.322712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T00:49:38.156237Z digest=sha256:8e374c7de628e150ef7bd274bd0ef002de1b89606ce0dc6102713307bd0d1365

Observation 429aa4a3-ea4b-46be-b6f0-ba7e3a6cc9b4 · inbound

Three-Body Scattering for Generative Modeling cites this paper.

Three-Body Scattering for Generative Modeling Unified Continuous Generative Models

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-01T15:49:34.306071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:49:34.306071Z digest=sha256:4343accbdced3649e6b8c91e33b4ff7f8749d7b42da0f309fe576d06630f845d

Observation e2f72065-b2b4-44a6-861b-4b6816f0ab1a · inbound

Amortized Moment Matching for Visual Generation cites this paper.

Amortized Moment Matching for Visual Generation Unified Continuous Generative Models

Reference 95

Resolution
unresolved
no resolver link, observed 2026-07-30T18:58:28.186475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T18:58:28.186475Z digest=sha256:f8d365a037b5bf670466d93029bcb59642e6643b7053fc7b2dabe55b2dfbcf24

Observation 52574316-9c96-4a09-993e-de09bc29a79e · inbound

CMuon: Accelerating and Stabilizing Diffusion Transformer Training via Chunked Momentum Orthogonalization cites this paper.

CMuon: Accelerating and Stabilizing Diffusion Transformer Training via Chunked Momentum Orthogonalization Unified Continuous Generative Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-04T06:04:05.398635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:04:05.398635Z digest=sha256:6eb07f7f5b117e20471e518a2cd3bd99a0daf74eeaf53fd5a4522c4e4989cedb