Paper Citation Record · LEDGER

A Survey on Generative AI and LLM for Video Generation, Understanding, and Streaming

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.16038.

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

pith.paper-citation-record.v1
2404.16038 v1

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 2026-08-04T06:34:03.388597+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:37:41.730222Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:53:16.516107Z

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 327f242e-180c-4be4-8507-b7071733fd43 · inbound

DeepFleet: Multi-Agent Foundation Models for Mobile Robots cites this paper.

DeepFleet: Multi-Agent Foundation Models for Mobile Robots A Survey on Generative AI and LLM for Video Generation, Understanding, and Streaming

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-19T00:16:55.388770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 31bcdc0b-7e56-40b2-81a7-758c6c21f8e3 · inbound

Video Understanding by Design: How Datasets Shape Video Models cites this paper.

Video Understanding by Design: How Datasets Shape Video Models A Survey on Generative AI and LLM for Video Generation, Understanding, and Streaming

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-04T19:37:41.730222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6606ec9b-e2b3-4c24-afbf-4f41539d6c15 · inbound

ML Defender (aRGus NDR): An Open-Source Embedded ML NIDS for Botnet and Anomalous Traffic Detection in Resource-Constrained Organizations cites this paper.

ML Defender (aRGus NDR): An Open-Source Embedded ML NIDS for Botnet and Anomalous Traffic Detection in Resource-Constrained Organizations A Survey on Generative AI and LLM for Video Generation, Understanding, and Streaming

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T13:44:20.231984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7efc1ed6-6d48-4af8-ad92-9b9d32b9261f · inbound

Generative AI for Video Trailer Synthesis: From Extractive Heuristics to Autoregressive Creativity cites this paper.

Generative AI for Video Trailer Synthesis: From Extractive Heuristics to Autoregressive Creativity A Survey on Generative AI and LLM for Video Generation, Understanding, and Streaming

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T20:23:13.422887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 62abd883-d43e-419c-a85b-56f951ca8f36 · inbound

DSIPA: Detecting LLM-Generated Texts via Sentiment-Invariant Patterns Divergence Analysis cites this paper.

DSIPA: Detecting LLM-Generated Texts via Sentiment-Invariant Patterns Divergence Analysis A Survey on Generative AI and LLM for Video Generation, Understanding, and Streaming

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:01:26.068051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b43cbcee-f6ba-4e2b-a58e-8625d12d2298 · inbound

Generative AI and Digital Ecosystem Resilience: A Proactive Lifecycle-Based Survey cites this paper.

Generative AI and Digital Ecosystem Resilience: A Proactive Lifecycle-Based Survey A Survey on Generative AI and LLM for Video Generation, Understanding, and Streaming

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:53:16.517625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.