Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.04334.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:03:02.529236Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation c6747194-ffa5-4fad-a468-8e298098a2ef · inbound
Fast3D: Accelerating 3D Multi-modal Large Language Models for Efficient 3D Scene Understanding cites this paper.
Fast3D: Accelerating 3D Multi-modal Large Language Models for Efficient 3D Scene Understanding DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:03:02.529236Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a8f9037-a292-480c-a907-1bb878ebd52c · inbound
CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models cites this paper.
CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T14:50:14.761238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.