Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.07022.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:59:33.726301Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T17:58:29.104450Z
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 b78e71a2-12a7-4abb-a751-b8e93525728f · inbound
VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision cites this paper.
VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:17:54.231007Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d78f15c0-b7e3-4db3-8dc0-380def64992e · inbound
VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models cites this paper.
VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:59:33.726301Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae2016cf-432c-4a34-a33f-3e6feffeb33d · inbound
EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World? cites this paper.
EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World? ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:29:10.258668Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ea50030-f356-41cf-8e3b-dffd43350ee0 · inbound
Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes? cites this paper.
Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes? ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:18:59.175905Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a7676cf-84d0-49ea-9aba-f61972b1194c · inbound
GLIMPSE: Do Large Vision-Language Models Truly Think With Videos or Just Glimpse at Them? cites this paper.
GLIMPSE: Do Large Vision-Language Models Truly Think With Videos or Just Glimpse at Them? ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
Reference 7
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T17:58:29.172776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.