Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2412.09616.
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 2026-07-13T15:50:49.083652Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T09:22:16.152985Z
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 7567a43a-81e0-4548-bf55-f8e0092efe2b · inbound
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models cites this paper.
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:41:08.309183Z
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.
Observation 88919fe1-327b-4224-af79-8ca2fb029b26 · inbound
LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops cites this paper.
LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T09:22:16.157643Z
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.
Observation d8b617ae-c426-43db-9522-598b88ade219 · inbound
Mitigating Coordinate Prediction Bias from Positional Encoding Failures cites this paper.
Mitigating Coordinate Prediction Bias from Positional Encoding Failures V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:12:23.580165Z
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.
Observation 19e45ffc-f358-4f8f-8222-cda983d2581b · inbound
Internalized Reasoning for Long-Context Visual Document Understanding cites this paper.
Internalized Reasoning for Long-Context Visual Document Understanding V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T23:53:27.762573Z
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.
Observation 17745e31-98ca-40a7-a894-555f4669ce45 · inbound
Internalized Reasoning for Long-Context Visual Document Understanding cites this paper.
Internalized Reasoning for Long-Context Visual Document Understanding V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T15:50:49.083652Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.