Pith. sign in

Paper Citation Record · LEDGER

Zero-Shot Video Question Answering via Frozen Bidirectional Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.08155.

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

pith.paper-citation-record.v1
2206.08155 v2

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:20:13.284415Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T20:37:01.727348Z

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 193cf10f-1ea6-4f6a-9ebb-f51d23520f54 · inbound

MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models cites this paper.

MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models Zero-Shot Video Question Answering via Frozen Bidirectional Language Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-10T20:37:01.746934Z

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=2026-05-10T20:37:01.617345Z digest=sha256:020bd021aa3a28e3104b1142c3d18669d82fdf7db51d5f081c0ced393037ae6b

Observation ec97086f-91a3-4ef2-95fd-5df53212c9d5 · inbound

DIVE: Deep-search Iterative Video Exploration A Technical Report for the CVRR Challenge at CVPR 2025 cites this paper.

DIVE: Deep-search Iterative Video Exploration A Technical Report for the CVRR Challenge at CVPR 2025 Zero-Shot Video Question Answering via Frozen Bidirectional Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T22:20:13.284415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:20:13.284415Z digest=sha256:1c269be80c5f66e7c13b2afd0b66d7722068c60930dd89288db36e26313e5b64