Paper Citation Record · LEDGER

MM-R1: Unleashing the Power of Unified Multimodal Large Language Models for Personalized Image Generation

As of 19 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 3 inbound Pith citation observations for arXiv:2508.11433.

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

pith.paper-citation-record.v1
2508.11433 v2

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:02:05.174401Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T05:14:14.053344Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:29:50.927089Z

Reference resolution

2 of 2 outbound references displayed

verified exact0
verified fuzzy0
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ecb4f518-6afb-4ab4-88f1-a657399841ce · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

MM-R1: Unleashing the Power of Unified Multimodal Large Language Models for Personalized Image Generation Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:05.164731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58fbd31c-baa7-4843-ab93-983b6af95af6 · outbound

This paper cites OmniMamba: Efficient and Unified Multimodal Understanding and Generation via State Space Models.

MM-R1: Unleashing the Power of Unified Multimodal Large Language Models for Personalized Image Generation OmniMamba: Efficient and Unified Multimodal Understanding and Generation via State Space Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:05.174401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 9ade3170-4907-49f5-aa0c-c93e25793fac · inbound

Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization cites this paper.

Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization MM-R1: Unleashing the Power of Unified Multimodal Large Language Models for Personalized Image Generation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:08:04.418131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 89207f15-40e8-4782-a202-6b5d6a80336f · inbound

Uni-Synergy: Bridging Understanding and Generation for Personalized Reasoning via Co-operative Reinforcement Learning cites this paper.

Uni-Synergy: Bridging Understanding and Generation for Personalized Reasoning via Co-operative Reinforcement Learning MM-R1: Unleashing the Power of Unified Multimodal Large Language Models for Personalized Image Generation

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:21:24.053346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6f1ef7bf-2182-4079-a05c-91575ca553aa · inbound

PortraitGen: Exemplar-Driven GRPO with Dual-Reward Guidance for Photorealistic Portrait Generation cites this paper.

PortraitGen: Exemplar-Driven GRPO with Dual-Reward Guidance for Photorealistic Portrait Generation MM-R1: Unleashing the Power of Unified Multimodal Large Language Models for Personalized Image Generation

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:29:50.928569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.