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Paper Citation Record · LEDGER

AutoVFX: Physically Realistic Video Editing from Natural Language Instructions

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2411.02394.

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

pith.paper-citation-record.v1
2411.02394 v1

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 2026-08-13T06:32:02.005865+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:53:00.612074Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T17:07:12.382545Z

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 db48138e-16aa-4c90-aefb-5f4c4b7528e6 · inbound

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

Generative Physical AI in Vision: A Survey AutoVFX: Physically Realistic Video Editing from Natural Language Instructions

Reference 148

Resolution
unresolved
no resolver link, observed 2026-08-10T18:53:00.612074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:53:00.612074Z digest=sha256:b2ec07a7b9d5895b60488247d91a04b688f7bb6635267caad3a60e98a42ab05e

Observation 7fa485d5-044a-446c-899b-eecc94215623 · inbound

AccidentSim: Generating Vehicle Collision Videos with Physically Realistic Collision Trajectories from Real-World Accident Reports cites this paper.

AccidentSim: Generating Vehicle Collision Videos with Physically Realistic Collision Trajectories from Real-World Accident Reports AutoVFX: Physically Realistic Video Editing from Natural Language Instructions

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:27:12.500710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-22T22:25:57.796922Z digest=sha256:e7d1dc57af67ecfada3b2b6fe6044dad695c979ef401395f207ae4e80f17f8db

Observation 96205219-279a-4e2a-9b2e-f2dfc8d83235 · inbound

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs cites this paper.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs AutoVFX: Physically Realistic Video Editing from Natural Language Instructions

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:23.607708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.607708Z digest=sha256:9789029f87f21e502e822cdb7fc6e18b6500997b3efbf2c569e2fbd3a41a501e

Observation f78edd3a-e5ec-4925-80fe-945628e6e637 · inbound

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels cites this paper.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels AutoVFX: Physically Realistic Video Editing from Natural Language Instructions

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T18:15:09.674260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:15:09.674260Z digest=sha256:618265147cb11b4ffd72b80ec888a8b84fec3729bf11be23ed98485742578669

Observation be84c337-5243-4879-9e9a-b07d421a2784 · inbound

FieryGS: In-the-Wild Fire Synthesis with Physics-Integrated Gaussian Splatting cites this paper.

FieryGS: In-the-Wild Fire Synthesis with Physics-Integrated Gaussian Splatting AutoVFX: Physically Realistic Video Editing from Natural Language Instructions

Reference 96

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:31:05.877199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T19:52:57.426347Z digest=sha256:601f548489d577b8bf2723cb8e3c3f48ad3ef4cf1024686b543b0a407b25f530

Observation 8203b813-cb45-4117-a722-16c1e361f959 · inbound

FieryGS: In-the-Wild Fire Synthesis with Physics-Integrated Gaussian Splatting cites this paper.

FieryGS: In-the-Wild Fire Synthesis with Physics-Integrated Gaussian Splatting AutoVFX: Physically Realistic Video Editing from Natural Language Instructions

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T02:28:24.647289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T02:28:24.647289Z digest=sha256:e90906afd1dc5c72bf9e2e856667837e64861638798a4807391693137e0da452

Observation dedf94c7-18e2-4aa0-bb5c-d44206de231f · inbound

OptiWorld: Optimal Control for Video World Generation under Physical Constraints cites this paper.

OptiWorld: Optimal Control for Video World Generation under Physical Constraints AutoVFX: Physically Realistic Video Editing from Natural Language Instructions

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:32:35.533971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-28T19:02:51.848742Z digest=sha256:3d59955d032f8d967adfd810e81f46b7752e6347c8ee54e03fbb7bd3706e80b2

Observation eb7963c7-3480-4a63-8908-af06d5aeb5a0 · inbound

STaR-Quant: State-Time Consistent Post-Training Quantization for Diffusion Large Language Models cites this paper.

STaR-Quant: State-Time Consistent Post-Training Quantization for Diffusion Large Language Models AutoVFX: Physically Realistic Video Editing from Natural Language Instructions

Reference 104

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T07:06:43.708189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-28T07:14:26.441339Z digest=sha256:774f71e64625d542536fbc9d648b3d286153e743808b75bf1d985448d14cbbb5

Observation 38c9379d-a1d2-4125-b34c-5ae82f6520c1 · inbound

Streaming Video Generation with Streaming Force Control cites this paper.

Streaming Video Generation with Streaming Force Control AutoVFX: Physically Realistic Video Editing from Natural Language Instructions

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-02T17:07:12.384017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T22:14:32.465663Z digest=sha256:c9b846c4989428461fcf52ec3c3d1acf1df4c81108b8048186b8a07e6f7b2116