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Paper Citation Record · LEDGER

VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.17404.

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

pith.paper-citation-record.v1
2311.17404 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 2026-08-07T15:21:04.771148Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T09:27:44.133230Z

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 3e0b4f05-200e-4fc6-8095-ab521ef5464b · inbound

TempCompass: Do Video LLMs Really Understand Videos? cites this paper.

TempCompass: Do Video LLMs Really Understand Videos? VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models

Reference 98

Resolution
verified exact
arxiv_id, observed 2026-05-17T02:46:16.722076Z

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=arxiv_source observed=2026-05-17T02:46:16.632743Z digest=sha256:8a8831d0b1ade8af033c14b251fa27b16b878bc87a3e5a45d4d7733c21381d26

Observation 3fe391ec-30ef-4c0f-a138-364edf22685b · inbound

Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces cites this paper.

Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:27:44.136867Z

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=2026-05-22T09:27:43.919941Z digest=sha256:6e5f0a4d41582932ac4710353228d7c50efc08830f401fa7385015fef4f4046c

Observation 59ad81f0-88ca-41c0-8374-acbe6a98c6cb · inbound

Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos cites this paper.

Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-14T00:32:41.123945Z

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=2026-05-14T00:32:41.059558Z digest=sha256:8be09d4fca111380196d431332d3ffcc2acf008e5cfa709d2bcda95e45a47acc

Observation 01a14c51-e559-4fa9-a653-a5299ebf00c5 · inbound

TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models cites this paper.

TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T15:21:04.771148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:21:04.771148Z digest=sha256:604a7b5938017e36adcab500fcce9041169d2e72b39c01d92f6ac50a6e694151

Observation 0db68e14-2a3e-477c-bb32-eed69fd73537 · inbound

RTime-QA: A Benchmark for Atomic Temporal Event Understanding in Large Multi-modal Models cites this paper.

RTime-QA: A Benchmark for Atomic Temporal Event Understanding in Large Multi-modal Models VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:24:08.500461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:08.500461Z digest=sha256:482ccbdf2a5dc0f6e10c315742bd5068040dc316bf41cd45f06313f35f578b75