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Paper Citation Record · LEDGER

T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.05965.

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

pith.paper-citation-record.v1
2407.05965 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:11:21.492244Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:23:50.884692Z

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 f1d737cd-f450-40d5-8208-aeb54467e0f2 · inbound

A Red Teaming Roadmap Towards System-Level Safety cites this paper.

A Red Teaming Roadmap Towards System-Level Safety T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T12:11:21.492244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:11:21.492244Z digest=sha256:b6ca073600d59c85f1ea647377fba084a1e67b498ecff6732bd3a393f28f912f

Observation 88984ed8-2776-40b8-8c93-0f2a2082dd99 · inbound

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation cites this paper.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T21:03:02.376272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:03:02.376272Z digest=sha256:d96f8d7f4a24b4e0e348d47d18c1f15a50e4fb04e1df38e6d9dd28fbbdc3b5cd

Observation 5d736625-c8d2-4168-b6c0-ad591ff51ec4 · inbound

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models

Reference 151

Resolution
unresolved
no resolver link, observed 2026-08-03T08:15:25.580673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:15:25.580673Z digest=sha256:a1c329dbb8985e767308b2f36bd683f6b382b11c9115c353c5a5a9bf5691d4b2

Observation c795d8ec-3b3f-4446-9f67-284d2dff38fc · inbound

Latent Space Probing for Adult Content Detection in Video Generative Models cites this paper.

Latent Space Probing for Adult Content Detection in Video Generative Models T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:46:10.488251Z

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=2026-05-09T21:07:18.808339Z digest=sha256:4e2ee65ee84dcd5c98c794a4aea02e0f6be994452eef6b619a30e9f886227947

Observation 5cd5809e-0c8b-4b0c-9a7a-ff8724924d8d · 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 T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:23:50.886544Z

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=sha256:7c004889d5e4b12ef0c24fcc8c4fefa38826b79be853e0cc7fec4e15d8858f53

Observation 7af36925-915d-403b-b6d9-5052d4a95bbc · inbound

SafeGen-Bench: Benchmarking Safety in Image-Conditioned Text-to-Video Generation cites this paper.

SafeGen-Bench: Benchmarking Safety in Image-Conditioned Text-to-Video Generation T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-06-28T17:12:25.195366Z

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=2026-06-28T17:05:57.685728Z digest=sha256:9ddd62a69cdef694dfd6ebd9cf30244a51be878fef833b26cdd614994778832b