Paper Citation Record · LEDGER

VideoExpert: Augmented LLM for Temporal-Sensitive Video Understanding

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.07519.

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

pith.paper-citation-record.v1
2504.07519 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:32:18.037452Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T02:40:06.544083Z

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 d49be883-0dc4-4ac5-91cc-2ff3762cb4ee · inbound

Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding cites this paper.

Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding VideoExpert: Augmented LLM for Temporal-Sensitive Video Understanding

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-17T02:40:06.546326Z

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.

Observation 8ebf504b-4389-47a8-95ac-a09c5e042336 · inbound

A Survey on Video Temporal Grounding with Multimodal Large Language Model cites this paper.

A Survey on Video Temporal Grounding with Multimodal Large Language Model VideoExpert: Augmented LLM for Temporal-Sensitive Video Understanding

Reference 126

Resolution: unresolved; no resolver link, observed 2026-08-05T23:32:18.037452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59a300d9-b8e6-4ef6-a34b-318b14e219a4 · inbound

Strefer: Empowering Video LLMs with Space-Time Referring and Reasoning via Synthetic Instruction Data cites this paper.

Strefer: Empowering Video LLMs with Space-Time Referring and Reasoning via Synthetic Instruction Data VideoExpert: Augmented LLM for Temporal-Sensitive Video Understanding

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-05T10:58:19.515582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be915d0f-8ff6-4fc2-9c1e-2db36c3554ff · inbound

A Paradigm Shift: Fully End-to-End Training for Temporal Sentence Grounding in Videos cites this paper.

A Paradigm Shift: Fully End-to-End Training for Temporal Sentence Grounding in Videos VideoExpert: Augmented LLM for Temporal-Sensitive Video Understanding

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:48:11.511171Z

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.