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Paper Citation Record · LEDGER

On-Policy Adversarial Flow Distillation for Autoregressive Video Generation

As of 14 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2605.26105.

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

pith.paper-citation-record.v1
2605.26105 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T22:24:40.342340Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

9 of 9 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 25a01bcf-ea86-445f-9c2c-21f1873af7eb · outbound

This paper cites Seedance 2.0: Advancing Video Generation for World Complexity.

On-Policy Adversarial Flow Distillation for Autoregressive Video Generation Seedance 2.0: Advancing Video Generation for World Complexity

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-06-29T22:34:02.361333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T22:24:40.342340Z digest=sha256:2d557617c05767609722a56032defc6eda9488d1d6552c91c06c58dba8519107

Observation 7aaa7346-c642-4912-9b93-3ab602ff5aa4 · outbound

This paper cites Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion.

On-Policy Adversarial Flow Distillation for Autoregressive Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T22:34:02.369176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T22:24:40.342340Z digest=sha256:3f43991b28d54cdd28d7291050c40277efab37402f41d0255a98f2035e80ad00

Observation 6cc78dce-c52e-4d43-96ce-cd280c755ed9 · outbound

This paper cites V.I.P. : Iterative Online Preference Distillation for Efficient Video Diffusion Models.

On-Policy Adversarial Flow Distillation for Autoregressive Video Generation V.I.P. : Iterative Online Preference Distillation for Efficient Video Diffusion Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:34:02.397927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T22:24:40.342340Z digest=sha256:5fdbd4d2626d48411a0a5e20f536287a46bbbeb177b574c77f90b10e8ca2b616

Observation fba01978-53e9-4ecb-bbb5-335fbc251ea7 · outbound

This paper cites On-policy distillation.Thinking Machines Lab: Con- nectionism.

On-Policy Adversarial Flow Distillation for Autoregressive Video Generation On-policy distillation.Thinking Machines Lab: Con- nectionism

Reference 4

Resolution
verified exact
doi, observed 2026-06-29T22:34:01.223066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T22:24:40.342340Z digest=sha256:9ee4927f3e44b518a3ad7da15007b2a11e458f8c01bcbf90e6507e6f5561a7c7

Observation ef7b05fd-0eaf-4473-a732-53d5c3e6873a · outbound

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

On-Policy Adversarial Flow Distillation for Autoregressive Video Generation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T22:34:02.397873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T22:24:40.342340Z digest=sha256:7ef4b15ac2d4866584f4ed9ed402ab77a41c9e31a50c878e344d68729cb6bb45

Observation f8f739a4-2c1c-4396-a079-44dd47fb73e3 · outbound

This paper cites The table lists the model, optimization, diffusion, regularization, and rollout settings used for AFD training.

On-Policy Adversarial Flow Distillation for Autoregressive Video Generation The table lists the model, optimization, diffusion, regularization, and rollout settings used for AFD training

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-29T22:24:40.342340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T22:24:40.342340Z digest=sha256:de687931420cc50dbfe6e43e79a315876fbbce15fe04d467b39617810c9ed46a

Observation 375affd2-f0de-4c71-9bbb-a44fbc4186a7 · outbound

This paper cites an unresolved cited work.

On-Policy Adversarial Flow Distillation for Autoregressive Video Generation Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-29T22:24:40.342340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T22:24:40.342340Z digest=sha256:5d59ae2c684034b25c0ff98333d5e0596393c933c2ed4e4b3dd46d1dacf2f2d5

Observation 1743b66d-0d5a-42f1-8072-af6cb07827a1 · outbound

This paper cites an unresolved cited work.

On-Policy Adversarial Flow Distillation for Autoregressive Video Generation Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-29T22:24:40.342340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T22:24:40.342340Z digest=sha256:26d1cf89d0d47bfa95165f07396e593b2bb6c5dc02759ae869c6091840dee10a

Observation 141c7dc8-f067-49e7-861d-835b795385a3 · outbound

This paper cites We reveal the connection between policy optimization in AFD to the KL-divergence on-policy distillation from teacher.

On-Policy Adversarial Flow Distillation for Autoregressive Video Generation We reveal the connection between policy optimization in AFD to the KL-divergence on-policy distillation from teacher

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-29T22:24:40.342340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T22:24:40.342340Z digest=sha256:9ff714f56a21e0cdfcc632e18da51e9557079f6b47f72593e7d2440aac448716

Pith citing papers

No inbound Pith citation observations are available.