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Paper Citation Record · LEDGER

ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2504.01934.

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

pith.paper-citation-record.v1
2504.01934 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:04:57.327788Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:09:57.571267Z

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 4daf39c0-2bfa-401f-8cad-40101393906b · inbound

FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities cites this paper.

FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T14:04:57.327788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:04:57.327788Z digest=sha256:93d65523b9a0cb189242508ba90b02bdcef4321e8fa1f5423c39a17ed52bbdcb

Observation 43704b8b-80fe-414f-a110-4534367892ca · inbound

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

Show-o2: Improved Native Unified Multimodal Models ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-12T18:51:15.630664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T18:51:15.428692Z digest=sha256:ea5fa3192e9202ba4b04398e7e9ea2c87788c7d3e0cfc94da345a1789a5b4352

Observation 4d2afe1e-87aa-4b55-9add-f11e96ef60c8 · inbound

UniCode$^2$: Cascaded Large-scale Codebooks for Unified Multimodal Understanding and Generation cites this paper.

UniCode$^2$: Cascaded Large-scale Codebooks for Unified Multimodal Understanding and Generation ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T23:01:49.658476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:01:49.658476Z digest=sha256:fb99cc614e3068a668dd4b725649c3a67939c8a5c9d4fda0806e8a51a3f72646

Observation 932a5cdb-1a85-473e-8ed1-3bfe15289b71 · inbound

X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again cites this paper.

X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T12:10:08.209695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:10:08.209695Z digest=sha256:b4ae27cba80c7cb359f9f4f05b543ddfec3a3f4e307c4925fc00df1e71f47e4a

Observation 0347559b-86c1-4bf3-827b-e6a317cc33c2 · inbound

SynerMedGen: Synergizing Medical Multimodal Understanding with Generation via Task Alignment cites this paper.

SynerMedGen: Synergizing Medical Multimodal Understanding with Generation via Task Alignment ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 60

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:26:31.184342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T02:52:01.518301Z digest=sha256:a91fcccb3911f9170f5cf034b0c9db6b5d700708455d0890bb2bff1000058b1d

Observation f84d59dc-7e92-4d70-942f-7d3ea52f80a0 · inbound

SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture cites this paper.

SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:17:18.739464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T05:12:37.339084Z digest=sha256:7e14af0f91719344da2010fee4dcb1a4b437c92dd02dc52890591e9655c96217

Observation ce777720-40b2-4b67-aa85-edf3cd6130f5 · inbound

What Semantics Survive the Connector? Diagnosing VLM-to-DiT Alignment in Video Editing cites this paper.

What Semantics Survive the Connector? Diagnosing VLM-to-DiT Alignment in Video Editing ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:39:40.468452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T05:38:29.361039Z digest=sha256:501e4332e372384bcb0282e4264bacdfc382b77afbf4dd6d6ee60af02ef676cf

Observation 7861ae28-fc63-4f95-9608-6e24f611400e · inbound

What Semantics Survive the Connector? Diagnosing VLM-to-DiT Alignment in Video Editing cites this paper.

What Semantics Survive the Connector? Diagnosing VLM-to-DiT Alignment in Video Editing ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:34:57.967088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T17:25:59.714252Z digest=sha256:a3ed18dbfff078fe926111fc25ad9b5d1669e2c3ae108c5eaa45d0cc27dd65c9

Observation 750863bb-62c3-4cdf-815e-4f3281272cf1 · inbound

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers cites this paper.

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 78

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T14:28:32.222192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T07:01:07.362430Z digest=sha256:5f4671a2526d7f5a9d0852ea58cc20398d73c8714cd667122b127180d73fdd19

Observation 388066f3-c35c-45c3-889d-0a19721a087c · inbound

Pareto LoRA: Mitigating Modality Imbalance in Unified Multimodal Models via Pareto-Optimal Gradient Integration cites this paper.

Pareto LoRA: Mitigating Modality Imbalance in Unified Multimodal Models via Pareto-Optimal Gradient Integration ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:58:47.389066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T03:31:02.911020Z digest=sha256:9c87dddbb45187902d1caa3f29016718c6030b233057df01298c0624bfc7296f

Observation cce911e2-b428-46f1-ae8f-81ab74205182 · inbound

Intend, Reflect, Refine: An Adaptive Multimodal Reflection Framework for Autonomous Driving cites this paper.

Intend, Reflect, Refine: An Adaptive Multimodal Reflection Framework for Autonomous Driving ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:09:44.912134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T09:06:54.669489Z digest=sha256:ab55c3b61bd4205879e7549854025e611fee21774effa9a201fe00b7d6d12079

Observation 58b9e8fc-443d-457e-b6c6-dfc495fe8ed1 · inbound

SPAR: Semantic-Pixel Self-Alignment and Adaptive Routing for Unified Multimodal Models cites this paper.

SPAR: Semantic-Pixel Self-Alignment and Adaptive Routing for Unified Multimodal Models ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:09:44.708433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T09:08:25.661515Z digest=sha256:cc2b612a29ad85b348d24d8b5d76fa12c5b0adeab50a6e64477980d41929a761

Observation 740ae8ea-17d4-4e6a-bfb5-422545af3055 · inbound

SPAR: Semantic-Pixel Self-Alignment and Adaptive Routing for Unified Multimodal Models cites this paper.

SPAR: Semantic-Pixel Self-Alignment and Adaptive Routing for Unified Multimodal Models ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T23:19:02.473947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T23:15:09.253879Z digest=sha256:6b475d10543ac510262b19c6b4527f23dd1a36ac3a28ac97fd81109ed92c3442

Observation b437c9e2-933c-49a3-8422-a190783f68a6 · inbound

UniTranslator: A Unified Multi-modal Framework for End-to-end In-Image Machine Translation cites this paper.

UniTranslator: A Unified Multi-modal Framework for End-to-end In-Image Machine Translation ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T16:09:57.572651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T00:50:22.839005Z digest=sha256:9de2a3314caa46c10356aa41c2d9d0c0d74dc3574dc6b5db61524c5d308e6c64

Observation fa1e1c4e-3533-479e-8772-52519c6e6ed3 · inbound

Unison: Benchmarking Unified Multimodal Models via Synergistic Understanding and Generation cites this paper.

Unison: Benchmarking Unified Multimodal Models via Synergistic Understanding and Generation ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:19:51.174095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T05:16:44.939060Z digest=sha256:cf50a3d243d6bdffcbe18dd1e0686279afc1389a02b8ae112b7d5fcaaf746c51

Observation 3467ec6f-e69c-48c3-a7ae-55ca4b738f89 · inbound

Illuminating Unified Multimodal Model for Free-form Interleaved Text-Image Generation cites this paper.

Illuminating Unified Multimodal Model for Free-form Interleaved Text-Image Generation ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T06:04:20.902472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T06:04:07.327934Z digest=sha256:a05b6b207552562a729271de3e8e974525b2acb5517347cae8102bfbbd84e5a8

Observation 7895d0fd-ca38-4bb5-a4ae-81d75ad93b6f · inbound

Show Me Examples: Inferring Visual Concepts from Image Sets cites this paper.

Show Me Examples: Inferring Visual Concepts from Image Sets ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T15:18:32.872960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T15:12:00.041335Z digest=sha256:313bd2df34caa9f16a9b7208ee9e0739c96c5d7451d947170f54f6f050961be9

Observation 731cae44-cc2c-495a-9f54-25de3491eecf · inbound

Show Me Examples: Inferring Visual Concepts from Image Sets cites this paper.

Show Me Examples: Inferring Visual Concepts from Image Sets ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-12T08:05:49.527175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T08:05:49.527175Z digest=sha256:b8685048af59559e05e61d338e9e63d3b39462b6f9da69683f2ff1f60b734ec9

Observation 82893f1e-c6e1-4bca-a3b1-889a69ab00c5 · inbound

Show Me Examples: Inferring Visual Concepts from Image Sets cites this paper.

Show Me Examples: Inferring Visual Concepts from Image Sets ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-02T09:02:24.638272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:02:24.638272Z digest=sha256:fae09de429630ca9ce63f5a17627bb5e4de079f193e7ebe2cb84285d4177e8c1

Observation a9d508e7-7344-4c8b-8c59-e7b9dba04e31 · inbound

Twins: Learn to Predict Unified Representations with Focal Loss cites this paper.

Twins: Learn to Predict Unified Representations with Focal Loss ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-01T04:29:51.425483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:29:51.425483Z digest=sha256:f43979b98794096e875ffd82c23e1b54b7fa303f39ef95141af9c1b689ecb183

Observation 6b2073f1-f657-4d1f-9533-62ddf20c180d · inbound

Argus-Unified: Towards A Compact and Economical Unified Model for Image Understanding and Generation cites this paper.

Argus-Unified: Towards A Compact and Economical Unified Model for Image Understanding and Generation ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-01T02:14:09.798269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T02:14:09.798269Z digest=sha256:9482e9c0d6bde0420c23c7aafe15f6c45081d6e32a7e318e77eece620b3d3d0b