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Paper Citation Record · LEDGER

VideoAgent: Self-Improving Video Generation

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2410.10076.

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

pith.paper-citation-record.v1
2410.10076 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:49:08.623756Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T05:54:38.689979Z

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 a897df8d-f6e3-4e7a-8dfe-13e88d87d733 · inbound

HANDI: Hand-Centric Text-and-Image Conditioned Video Generation cites this paper.

HANDI: Hand-Centric Text-and-Image Conditioned Video Generation VideoAgent: Self-Improving Video Generation

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T21:45:10.088431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:45:10.088431Z digest=sha256:d2d74484eff9a417243095b3febf85ad078d17791b58c3c09453fb25c1a02b0b

Observation 9ab290a7-286e-4f85-9f2f-f34179fd1f21 · inbound

Generative Physical AI in Vision: A Survey cites this paper.

Generative Physical AI in Vision: A Survey VideoAgent: Self-Improving Video Generation

Reference 197

Resolution
unresolved
no resolver link, observed 2026-08-10T18:53:00.745789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:53:00.745789Z digest=sha256:68588e2e2b4023cf11c7d92adf647c5e384376ebe6ccfe1e1320853b1137edbf

Observation 6be90b29-d3d8-4e7b-9f61-ba1ff139b3b3 · inbound

FlowLoss: Dynamic Flow-Conditioned Loss Strategy for Video Diffusion Models cites this paper.

FlowLoss: Dynamic Flow-Conditioned Loss Strategy for Video Diffusion Models VideoAgent: Self-Improving Video Generation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T11:49:08.623756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:49:08.623756Z digest=sha256:29478d9204f795b091986b6051b9f58bebd81a8bc8715f264c9084d1f7057583

Observation e423d689-7017-4bce-a6ee-1baa6651bd2a · inbound

A Challenge to Build Neuro-Symbolic Video Agents cites this paper.

A Challenge to Build Neuro-Symbolic Video Agents VideoAgent: Self-Improving Video Generation

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T20:12:37.838575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:12:37.838575Z digest=sha256:6e22567bc181666a3b617f7dacd427d5bfc85eea4da29b69fb5fd0643cacc2ce

Observation 13d75b34-ae20-4441-806d-4682344e22b4 · inbound

Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics cites this paper.

Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics VideoAgent: Self-Improving Video Generation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T06:07:24.256971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:07:24.256971Z digest=sha256:9ff137ebaa264ab5641d76a8c2127b3cbfcdc718d478868dd5873543233843da

Observation bb9a2f4f-e8cd-4ca9-949d-7106bdbfec88 · inbound

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation cites this paper.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation VideoAgent: Self-Improving Video Generation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T14:43:28.431568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:43:28.431568Z digest=sha256:9ed4f39619ebc86e34b94373ce7042add5b467d51516d56c2edce5dac51cd397

Observation 8c3d42f7-24b3-4e21-872e-0f766ad3a7cb · inbound

Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms cites this paper.

Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms VideoAgent: Self-Improving Video Generation

Reference 209

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T01:38:36.074534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-14T01:35:14.878069Z digest=sha256:278bd235fc09d3bf9daa2c6286d4d279ef71f2284b4ec7fa7e54c0c75c2fbe6c

Observation 5990fbb1-74e0-4fc6-873b-cd5e0009c85d · inbound

MotiMotion: Motion-Controlled Video Generation with Visual Reasoning cites this paper.

MotiMotion: Motion-Controlled Video Generation with Visual Reasoning VideoAgent: Self-Improving Video Generation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:54:38.692652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-22T05:51:17.890788Z digest=sha256:dfc7f16211187e742987fedf6a9eac11993d27cc304217b93aedd4438afd6ab5

Observation 0d07be31-0dc4-419e-89cc-62edb62bb9b2 · inbound

Distilling Physical Priors into Streaming World Models cites this paper.

Distilling Physical Priors into Streaming World Models VideoAgent: Self-Improving Video Generation

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-12T00:40:08.288517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:40:08.288517Z digest=sha256:0d054205434ec46cde8972e18afbcbcf2c8bc64eaf3e69fb52919a4f9247321c