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Paper Citation Record · LEDGER

TeaserGen: Generating Teasers for Long Documentaries

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.05586.

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

pith.paper-citation-record.v1
2410.05586 v2

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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:29:15.410134Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:23:13.407103Z

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 aca99c3f-e2a1-49bc-af14-dc0ae6b84918 · inbound

REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing cites this paper.

REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing TeaserGen: Generating Teasers for Long Documentaries

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:15.410134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:15.410134Z digest=sha256:ece2401975648c5d4a62cbc34d631b55535f374b5091028070ef0f0ac9dac15e

Observation 4799cefd-2193-40fc-a7d3-0a70dd655e0d · inbound

Video-Guided Text-to-Music Generation Using Public Domain Movie Collections cites this paper.

Video-Guided Text-to-Music Generation Using Public Domain Movie Collections TeaserGen: Generating Teasers for Long Documentaries

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T00:49:42.511515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:42.511515Z digest=sha256:93f502e0e2420e85016f3e2a228d2b1fba4ec5eb6695ba0097d192b8b4dcc05c

Observation b67ec7a0-99fc-44b6-95e3-2dcd47b4e4a4 · 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 TeaserGen: Generating Teasers for Long Documentaries

Reference 25

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T13:44:20.231984Z digest=sha256:8e76ce5512cce55ae1167f216ce17bcc037c1e51b26ae25edbe6b77397d21203

Observation 4148ea5a-3f04-4eea-87a0-98975b4fb138 · 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 TeaserGen: Generating Teasers for Long Documentaries

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:23:13.410000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T20:22:06.312532Z digest=sha256:fe4a4ee20195cd39d5435f7818c94b31c23720b7028ca64dabf851f0f2b6671d

Observation 1b972979-3899-43ad-88ed-4d624840e65a · inbound

GLANCE: A Global-Local Coordination Multi-Agent Framework for Music-Grounded Non-Linear Video Editing cites this paper.

GLANCE: A Global-Local Coordination Multi-Agent Framework for Music-Grounded Non-Linear Video Editing TeaserGen: Generating Teasers for Long Documentaries

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:20:51.188073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T19:13:30.400059Z digest=sha256:055f9497f1616cacfe94bbc7a403ca1b4ca9051bafb8aaafec9f8608cd662b8b