Paper Citation Record · LEDGER

E-VRAG: Enhancing Long Video Understanding with Resource-Efficient Retrieval Augmented Generation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2508.01546.

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

pith.paper-citation-record.v1
2508.01546 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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T14:09:54.549499Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:28:33.975112Z

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 55511384-0997-4dbd-b61c-2f0fe70d7439 · inbound

VideoStir: Understanding Long Videos via Spatio-Temporally Structured and Intent-Aware RAG cites this paper.

VideoStir: Understanding Long Videos via Spatio-Temporally Structured and Intent-Aware RAG E-VRAG: Enhancing Long Video Understanding with Resource-Efficient Retrieval Augmented Generation

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:15:50.153440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f7f43c79-4062-49b3-a78e-b0175fbb6a0a · inbound

SagaQA: A Multi-hop Reasoning Benchmark for Long-form Narrative Understanding in TV Series cites this paper.

SagaQA: A Multi-hop Reasoning Benchmark for Long-form Narrative Understanding in TV Series E-VRAG: Enhancing Long Video Understanding with Resource-Efficient Retrieval Augmented Generation

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T03:16:33.473907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 704b4b4e-7fce-4355-bed2-05f7c584de12 · inbound

Rethinking RAG in Long Videos: What to Retrieve and How to Use It? cites this paper.

Rethinking RAG in Long Videos: What to Retrieve and How to Use It? E-VRAG: Enhancing Long Video Understanding with Resource-Efficient Retrieval Augmented Generation

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:28:33.976618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7fe0792e-6847-40d6-b4b0-8e4102b67200 · inbound

QCA: Query- and Content-Aware Keyframe Selection for Long Video Understanding cites this paper.

QCA: Query- and Content-Aware Keyframe Selection for Long Video Understanding E-VRAG: Enhancing Long Video Understanding with Resource-Efficient Retrieval Augmented Generation

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T14:17:02.653182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.