Paper Citation Record · LEDGER

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models

As of 7 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 9 inbound Pith citation observations for arXiv:2510.12784.

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

pith.paper-citation-record.v1
2510.12784 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:54:26.490129Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T07:03:12.753735Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T13:39:51.508184Z

Reference resolution

38 of 38 outbound references displayed

verified exact0
verified fuzzy0
unresolved38
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 13b77b4b-7b0e-436d-9ec5-675cc5d63b2a · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:23.856369Z

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Observation 532963aa-c400-4198-8e4f-e39c5f12a212 · outbound

This paper cites BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:24.057136Z

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Observation 947d853c-d5f8-4a92-aaad-6d0b9e6cc133 · outbound

This paper cites Emerging Properties in Unified Multimodal Pretraining.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models Emerging Properties in Unified Multimodal Pretraining

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:24.131408Z

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Observation c317703b-34b2-4365-81ba-33f4da95b3ef · outbound

This paper cites GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:24.239016Z

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Observation 426f6dc4-ea4d-4757-936b-199b4552a7d2 · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:24.247164Z

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Observation a9b203f2-4f05-4091-8918-ba685e9797a7 · outbound

This paper cites Classifier-Free Diffusion Guidance.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models Classifier-Free Diffusion Guidance

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:24.551754Z

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Observation f6930a8a-66d4-4f86-9732-625c7dd4a24e · outbound

This paper cites HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:25.111416Z

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Observation 17a19361-0ea5-4e8b-9ff8-16d408649dd5 · outbound

This paper cites OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:25.305850Z

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Observation 73fba6df-8a41-49d9-a88c-9f7610cd1f28 · outbound

This paper cites Langbridge: Interpreting image as a combination of language embeddings.arXiv preprint arXiv:2503.19404,.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models Langbridge: Interpreting image as a combination of language embeddings.arXiv preprint arXiv:2503.19404,

Reference 16

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Observation 6fc03e94-81fb-42c7-a47d-c53ada4e7b1d · outbound

This paper cites UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:25.696314Z

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Observation b0332082-7bb8-4834-b58e-31bdf2308bff · outbound

This paper cites Decoupled Weight Decay Regularization.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models Decoupled Weight Decay Regularization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:25.973674Z

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Observation 1b38343b-63f0-4da6-9d9e-c2958e2738fb · outbound

This paper cites UniRL: Self-Improving Unified Multimodal Models via Supervised and Reinforcement Learning.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models UniRL: Self-Improving Unified Multimodal Models via Supervised and Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.172394Z

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Observation 69d936c1-0a4b-4c8d-a1ed-c26e1e006dbd · outbound

This paper cites A Theory on Adam Instability in Large-Scale Machine Learning.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models A Theory on Adam Instability in Large-Scale Machine Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.229865Z

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Observation c46305d4-fff1-43f3-9648-b6231f0a8772 · outbound

This paper cites WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.236524Z

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Observation 43ca6ec3-72ee-4f1d-be10-ee0266735696 · outbound

This paper cites Transfer between Modalities with MetaQueries.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models Transfer between Modalities with MetaQueries

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.356247Z

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Observation 527a0908-9afd-40e7-91e4-9cdb4c2ca112 · outbound

This paper cites LMFusion: Adapting Pretrained Language Models for Multimodal Generation.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models LMFusion: Adapting Pretrained Language Models for Multimodal Generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.449060Z

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Observation 3d150c1d-1de3-42bd-b40a-4a5b6f331dc0 · outbound

This paper cites T2I-ReasonBench: Benchmarking Reasoning-Informed Text-to-Image Generation.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models T2I-ReasonBench: Benchmarking Reasoning-Informed Text-to-Image Generation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.459094Z

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Observation a631c8ce-52d5-436a-aa24-2d3cd8ab1869 · outbound

This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.461078Z

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Observation 4bde2f6d-1143-4f64-9030-7ec9e531620b · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models Gemini: A Family of Highly Capable Multimodal Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.463571Z

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Observation 9279a138-2b4f-4018-bcff-553a3dc28fcc · outbound

This paper cites MetaMorph: Multimodal Understanding and Generation via Instruction Tuning.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models MetaMorph: Multimodal Understanding and Generation via Instruction Tuning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.465656Z

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Observation 9c34c403-4ceb-4df0-a2ec-b05a656ffa54 · outbound

This paper cites Reconstructive Visual Instruction Tuning.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models Reconstructive Visual Instruction Tuning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.467952Z

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Observation 4bac751c-412b-4afe-b8f8-d54e3c22c915 · outbound

This paper cites Qwen-Image Technical Report.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models Qwen-Image Technical Report

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.470131Z

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Observation a54366fb-566a-446d-90c4-5088e15327a5 · outbound

This paper cites Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.472229Z

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Observation fd171dc8-e761-4fe5-81e1-ac08122995db · outbound

This paper cites Show-o2: Improved Native Unified Multimodal Models.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models Show-o2: Improved Native Unified Multimodal Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.474337Z

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Observation 8afffa9f-1194-44f1-b8fb-40e94f36eee3 · outbound

This paper cites DanceGRPO: Unleashing GRPO on Visual Generation.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models DanceGRPO: Unleashing GRPO on Visual Generation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.476843Z

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Observation 6373a76c-d776-48cb-b9c9-e52ee0f9deef · outbound

This paper cites AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.479280Z

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Observation 3b9d40d5-b6bd-490f-9d3f-24a5d8907f3b · outbound

This paper cites MonoFormer: One Transformer for Both Diffusion and Autoregression.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models MonoFormer: One Transformer for Both Diffusion and Autoregression

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.483487Z

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Observation 97895aa8-09d5-4beb-8f1d-93c72b8a4cfc · outbound

This paper cites Drawing inspiration from (Molybog et al., 2023), we set the epsilon value to1.0×10 −15 to mitigate loss spikes.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models Drawing inspiration from (Molybog et al., 2023), we set the epsilon value to1.0×10 −15 to mitigate loss spikes

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.485681Z

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Observation 36ba23e2-6abe-4e01-8f55-e3824ca83694 · outbound

This paper cites an unresolved cited work.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.488117Z

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Observation 884fcefc-72a3-4dee-bc33-1b25b51dd186 · outbound

This paper cites {original_prompt}.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models {original_prompt}

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.490129Z

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Observation 514b78db-af38-44dc-9eff-39a5e4047e4d · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:24.405328Z

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Observation 0e88a398-161a-422f-9793-868b228fd1dc · outbound

This paper cites GLU Variants Improve Transformer.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models GLU Variants Improve Transformer

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.434173Z

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Observation b5313f9c-29ab-4476-ab86-95b5e6ea8956 · outbound

This paper cites Training Compute-Optimal Large Language Models.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models Training Compute-Optimal Large Language Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:24.763296Z

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Observation caa6bf72-8cd2-47eb-9a59-4c222b40aa02 · outbound

This paper cites GoT-R1: Unleashing Reasoning Capability of MLLM for Visual Generation with Reinforcement Learning.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models GoT-R1: Unleashing Reasoning Capability of MLLM for Visual Generation with Reinforcement Learning

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:24.184568Z

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Observation 7b72bc66-ff7d-4a96-9026-21567ceda278 · outbound

This paper cites SUDER: Self-Improving Unified Large Multimodal Models for Understanding and Generation with Dual Self-Rewards.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models SUDER: Self-Improving Unified Large Multimodal Models for Understanding and Generation with Dual Self-Rewards

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:24.937137Z

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Observation 3c77074f-a62d-4241-ad3b-60d46aa71d6f · outbound

This paper cites HumanEdit: A High-Quality Human-Rewarded Dataset for Instruction-based Image Editing.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models HumanEdit: A High-Quality Human-Rewarded Dataset for Instruction-based Image Editing

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:23.900864Z

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Observation 01701d6b-77cd-40d3-8742-3dc98c7057ec · outbound

This paper cites Qwen2.5-VL Technical Report.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models Qwen2.5-VL Technical Report

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:23.983819Z

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Observation ad0c698d-34f5-4faf-b73b-d71726bf7048 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:24.241226Z

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Pith citing papers

Observation 4cf4f63b-3c5e-4d8a-ab65-2a4809a517b3 · inbound

WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation cites this paper.

WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T02:16:10.489172Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 50317f72-eb0a-44f4-a0d9-edf4bd10776d · inbound

Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback cites this paper.

Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-30T02:16:10.489172Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4310b37d-95b0-4a97-a2c1-5e300df3591e · inbound

Generation Enhances Understanding in Unified Multimodal Models via Multi-Representation Generation cites this paper.

Generation Enhances Understanding in Unified Multimodal Models via Multi-Representation Generation SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T07:03:12.753735Z

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Observation 951fc723-3b58-4cf2-aa41-eccb5dad1761 · inbound

LatentUMM: Dual Latent Alignment for Unified Multimodal Models cites this paper.

LatentUMM: Dual Latent Alignment for Unified Multimodal Models SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T02:16:10.489172Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e1b01783-1022-4eb3-b66e-130f2affe4b0 · inbound

DIVA: Harnessing the Representation Divergence in Unified Multimodal Models for Mutual Reinforcement cites this paper.

DIVA: Harnessing the Representation Divergence in Unified Multimodal Models for Mutual Reinforcement SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T02:16:10.489172Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 23c978e2-9b35-48b7-a8ae-758dbddb341a · inbound

MetaPoint: Unlocking Precise Spatial Control in Agentic Visual Generation cites this paper.

MetaPoint: Unlocking Precise Spatial Control in Agentic Visual Generation SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T08:16:48.490594Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3c66c9a6-e1d5-434b-840b-80d287bbf7af · 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 SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T13:39:51.510296Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9ae340f2-453f-444f-8f11-073b87cde87f · inbound

Seeing Touch from Motion: A Unified Modality-Aware Visuo-Tactile Policy with Tactile Motion Correlation cites this paper.

Seeing Touch from Motion: A Unified Modality-Aware Visuo-Tactile Policy with Tactile Motion Correlation SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models

Reference 33

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T13:24:41.122344Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a544d83d-0cbe-4b99-aa04-ec25b715ca85 · inbound

ReBind: Multi-Reference Video Editing via Structured Instructions with Explicit Reference Relationships cites this paper.

ReBind: Multi-Reference Video Editing via Structured Instructions with Explicit Reference Relationships SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T01:27:21.368364Z

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