Paper Citation Record · LEDGER

InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token Compression

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2503.21307.

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

pith.paper-citation-record.v1
2503.21307 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:01:33.396784Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:09:53.831006Z

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 e08e65ee-056b-403a-9f2a-8b6b957b00c7 · inbound

R1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPO cites this paper.

R1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPO InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token Compression

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:01:33.396784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a11f7e75-7d53-4f32-8fc8-0fb0710c46c6 · inbound

Uni3D-MoE: Scalable Multimodal 3D Scene Understanding via Mixture of Experts cites this paper.

Uni3D-MoE: Scalable Multimodal 3D Scene Understanding via Mixture of Experts InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token Compression

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:16.681525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48ae9154-6455-4740-9750-a32c2ad19818 · inbound

LaCo: Efficient Layer-wise Compression of Visual Tokens for Multimodal Large Language Models cites this paper.

LaCo: Efficient Layer-wise Compression of Visual Tokens for Multimodal Large Language Models InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token Compression

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:30.064975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65c1534e-1b89-400c-b96a-1bbc0500d2d5 · inbound

R1-SyntheticVL: Is Synthetic Data from Generative Models Ready for Multimodal Large Language Model? cites this paper.

R1-SyntheticVL: Is Synthetic Data from Generative Models Ready for Multimodal Large Language Model? InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token Compression

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T05:06:45.171417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8713d11-63f4-4866-8f3a-31267e02be27 · inbound

An Efficient Token Compression Framework for Visual Object Tracking cites this paper.

An Efficient Token Compression Framework for Visual Object Tracking InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token Compression

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:56:35.749787Z

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.

Observation 9caa1331-a672-4e77-995d-2ea219c237d4 · inbound

LLaVA-UHD v4: What Makes Efficient Visual Encoding in MLLMs? cites this paper.

LLaVA-UHD v4: What Makes Efficient Visual Encoding in MLLMs? InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token Compression

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:11:16.340053Z

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.

Observation 0e34dc88-bf54-4c21-bf7f-74d5a6de833e · inbound

CIVIC: End-to-End Sequence Compactness for Efficient Vision-Language Models cites this paper.

CIVIC: End-to-End Sequence Compactness for Efficient Vision-Language Models InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token Compression

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:13:26.442979Z

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.

Observation 8bd093a2-dbd9-4379-a643-7dbba2c8a816 · inbound

TOPS: First-Principles Visual Token Pruning via Constructing Token Optimal Preservation Sets for Efficient MLLM Inference cites this paper.

TOPS: First-Principles Visual Token Pruning via Constructing Token Optimal Preservation Sets for Efficient MLLM Inference InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token Compression

Reference 83

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T14:09:53.832588Z

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.

Observation 9ba06075-77b6-45c8-97a1-15ca8e42cf37 · inbound

CRAFT: Compression via Recursive Adaptive Fusion of Video Tokens for Vision-Language Models cites this paper.

CRAFT: Compression via Recursive Adaptive Fusion of Video Tokens for Vision-Language Models InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token Compression

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:51.576340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28c532bd-5bee-4187-a525-2142fc9a8462 · inbound

SmartMage: Dynamic Modality Orchestration for 3D Scene Understanding cites this paper.

SmartMage: Dynamic Modality Orchestration for 3D Scene Understanding InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token Compression

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T04:28:23.606938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.