Paper Citation Record · LEDGER

PUMA: Empowering Unified MLLM with Multi-granular Visual Generation

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.13861.

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

pith.paper-citation-record.v1
2410.13861 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:50:49.062861Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-01T00:16:37.248943Z

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 e4aca15d-b16a-413f-9639-fba6578f3de1 · inbound

Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation cites this paper.

Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation PUMA: Empowering Unified MLLM with Multi-granular Visual Generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T04:50:49.062861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91ffc050-6bdf-4276-b8f7-e5323a8c47c7 · inbound

ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance cites this paper.

ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance PUMA: Empowering Unified MLLM with Multi-granular Visual Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T19:29:52.594114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e38279b1-d0d4-49ef-bde6-99226a0032bb · inbound

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models cites this paper.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models PUMA: Empowering Unified MLLM with Multi-granular Visual Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T05:36:15.528322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3c5cd98-926e-4ae3-afbd-c637bb033a3c · inbound

FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark cites this paper.

FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark PUMA: Empowering Unified MLLM with Multi-granular Visual Generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T18:48:03.640677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ee746e9-4511-49a6-a392-8991fc6675e0 · inbound

One Patch Is Enough: Reinforcement-Optimized Visual Token Grounding for MLLM-Based Scene Text Spotting cites this paper.

One Patch Is Enough: Reinforcement-Optimized Visual Token Grounding for MLLM-Based Scene Text Spotting PUMA: Empowering Unified MLLM with Multi-granular Visual Generation

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-31T23:26:27.967706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 747e83ae-07e7-4aac-89f3-25c83b3a7ebd · inbound

One Patch Is Enough: Reinforcement-Optimized Visual Token Grounding for MLLM-Based Scene Text Spotting cites this paper.

One Patch Is Enough: Reinforcement-Optimized Visual Token Grounding for MLLM-Based Scene Text Spotting PUMA: Empowering Unified MLLM with Multi-granular Visual Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T03:22:09.894169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.