Pith. sign in

Paper Citation Record · LEDGER

FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.01813.

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

pith.paper-citation-record.v1
2311.01813 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:14:35.617067Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:54:00.764516Z

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 99fd2706-140c-47f0-81f2-4bff03c18ae7 · inbound

We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback cites this paper.

We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-22T18:56:58.159507Z

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=2026-05-22T18:56:39.735334Z digest=sha256:bef656a4c0ec179a1044459691bbdf34e497b1d22d989632a56fcf1b9d133919

Observation 216da338-cbcc-4efc-955b-3425461459dd · inbound

How Far Are Video Models from True Multimodal Reasoning? cites this paper.

How Far Are Video Models from True Multimodal Reasoning? FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:51:03.923156Z

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=2026-05-10T02:44:52.920816Z digest=sha256:31b9e850586c12e4b2c5b8aff561846f49a2abd18c70122d40d6fead00864b3e

Observation b2078459-455c-4a9a-b2c6-dff2f5ce1dbc · inbound

LongAV-Compass: Towards Unified Evaluation of Minute-Scale Audio-Visual Generation Across T2AV, I2AV, and V2AV cites this paper.

LongAV-Compass: Towards Unified Evaluation of Minute-Scale Audio-Visual Generation Across T2AV, I2AV, and V2AV FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:54:00.766237Z

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=2026-06-29T22:52:38.330851Z digest=sha256:71ee31f1e8071dab561b0abfeb714d154c37cb99a81a2e3246bf5bb01f36c003

Observation a73ea158-4690-4752-b760-97aa19c20fbf · inbound

Are Video Models Zero-Shot Learners and Reasoners in Education? EduVideoBench, A Knowledge-Skills-Attitude Benchmark for Educational Video Generation cites this paper.

Are Video Models Zero-Shot Learners and Reasoners in Education? EduVideoBench, A Knowledge-Skills-Attitude Benchmark for Educational Video Generation FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:23:50.889184Z

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=arxiv_source observed=2026-06-29T18:17:52.284353Z digest=sha256:48cc5adec49dbd1fc65189cc80be099c1b7a35b0f1c0d134a47392b6bce4a7a3

Observation eb651483-7cde-4a54-89d2-2109ec93c665 · inbound

DSTAR: Accelerating Diffusion Transformers via Spatial and Temporal Redundancy Reduction cites this paper.

DSTAR: Accelerating Diffusion Transformers via Spatial and Temporal Redundancy Reduction FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T22:14:35.617067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:14:35.617067Z digest=sha256:07120c550b3bdc8f91bc2f57df0ecfe0f729164a744ccedf62a4e8e7cfb6dff5