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Paper Citation Record · LEDGER

VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by Video Spatiotemporal Augmentation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.00927.

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

pith.paper-citation-record.v1
2412.00927 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 2026-08-07T15:34:41.595618Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:28:29.703743Z

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 bf996667-5061-4349-b80f-fc06598e07a2 · inbound

SmolVLM: Redefining small and efficient multimodal models cites this paper.

SmolVLM: Redefining small and efficient multimodal models VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by Video Spatiotemporal Augmentation

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:23:51.762341Z

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=2026-05-13T20:23:50.552549Z digest=sha256:13f3e87db7aae4546fdf689e53e35f7baaf9b9b8e9d4212c03a8de6ff3614be3

Observation c716fa61-58fb-4624-89ce-fe750b5d2a98 · inbound

VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation cites this paper.

VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by Video Spatiotemporal Augmentation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T15:34:41.595618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:34:41.595618Z digest=sha256:fe23fa3ff9e5b191ab66798918b71e7d45203f26a733facbe1f2063d8f62831c

Observation 26db925f-c52a-466d-8a1a-c5ed4cb2acbb · inbound

ReFoCUS: Reinforcement-guided Frame Optimization for Contextual Understanding cites this paper.

ReFoCUS: Reinforcement-guided Frame Optimization for Contextual Understanding VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by Video Spatiotemporal Augmentation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T11:51:28.870229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:28.870229Z digest=sha256:4c70638fd843d38e9d17cd6f1491b0ebce5d73c995ac71bfa6686f5fd28e5fdb

Observation 05332f45-1df0-47e7-808a-5496febee91a · inbound

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers cites this paper.

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by Video Spatiotemporal Augmentation

Reference 218

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T14:28:29.705273Z

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=2026-06-27T07:01:07.362430Z digest=sha256:87eceadf987168dfa33f3cc97584cc4076b3a68e283c639df0fc1f18e725f967