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Paper Citation Record · LEDGER

LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.10294.

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

pith.paper-citation-record.v1
2402.10294 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:34:16.403556Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:29:44.531545Z

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 d729cb52-643c-4ecd-b6b6-68f93b8ee771 · inbound

SimTube: Generating Simulated Video Comments through Multimodal AI and User Personas cites this paper.

SimTube: Generating Simulated Video Comments through Multimodal AI and User Personas LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-12T20:34:16.403556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:34:16.403556Z digest=sha256:e8074c330f089212771e3a6862f04cd77115309b4014a87ea9d17c4980686eb0

Observation df3facec-fc82-496b-8ce5-71814b4714c2 · inbound

LEGO Co-builder: Exploring Fine-Grained Vision-Language Modeling for Multimodal LEGO Assembly Assistants cites this paper.

LEGO Co-builder: Exploring Fine-Grained Vision-Language Modeling for Multimodal LEGO Assembly Assistants LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:29:44.591808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:29:43.181424Z digest=sha256:e5508aa877c41964534f77219e1613b23fc77b904ff14df689528a1d2e904db6