Paper Citation Record · LEDGER

VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2504.02949.

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

pith.paper-citation-record.v1
2504.02949 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:26:40.459291Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:39:51.514306Z

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 252ec1b0-aecb-4c11-b068-5b2db3f1d3d5 · inbound

Do we really have to filter out random noise in pre-training data for language models? cites this paper.

Do we really have to filter out random noise in pre-training data for language models? VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T15:04:29.499875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 633ce0f2-9aee-47c4-85f3-34d9dc5e2575 · inbound

Multiscale Adaptive Conflict-Balancing Model For Multimedia Deepfake Detection cites this paper.

Multiscale Adaptive Conflict-Balancing Model For Multimedia Deepfake Detection VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:40.459291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 718b9d08-fcda-45bb-80b5-c6cbb9b3e23f · inbound

FractalMamba++: Scaling Vision Mamba Across Resolutions via Hilbert Fractal Geometry cites this paper.

FractalMamba++: Scaling Vision Mamba Across Resolutions via Hilbert Fractal Geometry VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.128586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e4523b3a-873e-4504-abfe-4967ea71a8ad · inbound

UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation cites this paper.

UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T15:34:55.925498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2de3076-eb6e-40b3-a718-a37c94f2152c · inbound

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL cites this paper.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.582550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddbc6c60-3570-43a6-9b8d-48291b355686 · inbound

JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent cites this paper.

JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:18.220796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d2b9971-13da-4115-bc7e-010a4a03ba73 · inbound

MENTOR: Efficient Multimodal-Conditioned Tuning for Autoregressive Vision Generation Models cites this paper.

MENTOR: Efficient Multimodal-Conditioned Tuning for Autoregressive Vision Generation Models VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:58:39.566054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28fb7f48-9ed4-43ae-be87-a56507d34d44 · inbound

Channel-wise Vector Quantization cites this paper.

Channel-wise Vector Quantization VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:44:01.509628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 30abff80-c703-4850-967a-31abb8309eda · inbound

Ask, Solve, Generate: Self-Evolving Unified Multimodal Understanding and Generation via Self-Consistency Rewards cites this paper.

Ask, Solve, Generate: Self-Evolving Unified Multimodal Understanding and Generation via Self-Consistency Rewards VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:39:51.516511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.