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Paper Citation Record · LEDGER

ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2412.06673.

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

pith.paper-citation-record.v1
2412.06673 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:34:55.804718Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:58:47.404850Z

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 7b92c927-cf8b-47f9-a2ee-be6698e0a8ec · inbound

Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling cites this paper.

Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:14:52.984207Z

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=2026-05-11T08:14:52.890145Z digest=sha256:271e3e79b99eed6af29f3372a7210566b2863a29b82e45fc183d678eb544665e

Observation 7657d805-3d0b-40cc-8b3b-bbabef44b146 · inbound

Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation cites this paper.

Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-17T07:24:04.662047Z

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=2026-05-17T07:24:04.460276Z digest=sha256:ccf6684eac9fd98b4d7c1b91b8f3b5f18287622c0769ffef03795ad8001f1043

Observation c7126fe6-580b-4126-8f5d-7bf49f15da5a · 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 ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T15:34:55.804718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:34:55.804718Z digest=sha256:d2717f773dc1133c8b4d8e87acfd7143aca7ce33dda9dea074eb8df996fdfb42

Observation 2d264584-d095-445b-b87e-ec1af679e1db · inbound

Emerging Properties in Unified Multimodal Pretraining cites this paper.

Emerging Properties in Unified Multimodal Pretraining ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-10T16:23:42.005417Z

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=2026-05-10T16:23:41.854132Z digest=sha256:e597f3468156b5bc40d946cb56314e53d2435628683bc937af980ed3febc7bf9

Observation db875de0-41c6-4727-8f47-d6645ac9edc0 · inbound

Muddit: Liberating Generation Beyond Text-to-Image with a Unified Discrete Diffusion Model cites this paper.

Muddit: Liberating Generation Beyond Text-to-Image with a Unified Discrete Diffusion Model ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:02:18.414325Z

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=2026-05-19T12:59:31.454155Z digest=sha256:1f131088b9697faa14ea1392e14997da459e53bf0092596b0a9ab9d65e063c16

Observation 5c9ce947-b55b-4545-be2e-997b370492f3 · inbound

OpenUni: A Simple Baseline for Unified Multimodal Understanding and Generation cites this paper.

OpenUni: A Simple Baseline for Unified Multimodal Understanding and Generation ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T12:44:15.148096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:15.148096Z digest=sha256:9d79bea78121bc0108ee556dbc5fec061daa81b20e9685fcff20f505ae5fce54

Observation 0c6a2e07-2921-4c2e-b479-9cfde000df1a · inbound

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL cites this paper.

ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T12:19:24.393195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:19:24.393195Z digest=sha256:eb0ad7c170052deb5649bf97caf1373e2cfa9ebfac58482c636fe70a75aed748

Observation 55b058cf-fc10-4d8d-8c92-7e0ebf2249d5 · inbound

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

SUDER: Self-Improving Unified Large Multimodal Models for Understanding and Generation with Dual Self-Rewards ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T05:30:27.164874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:30:27.164874Z digest=sha256:6e57593de4a73cce76fe5cd426a3e2368e53ba0ec2556b3c95575f5ef0156111

Observation 49e22908-1699-482f-8649-5911137894fc · inbound

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

Show-o2: Improved Native Unified Multimodal Models ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance

Reference 111

Resolution
verified exact
arxiv_id, observed 2026-05-12T18:51:15.730535Z

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=sha256:5a3fb112919cee4b60ce9b92a78a5602f79938920b71a0f5b9c6eab024f1b4d1

Observation 8fe5a1de-7e37-4c94-9eb1-8fc0804bb377 · 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 Your LLMs to See, Draw, and Self-Enhance

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T23:01:49.819756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:01:49.819756Z digest=sha256:cb2d8bba07ff45f0b186558e6b73a894ca46ded3d4b8b399ad687778f631aaad

Observation f7a83eec-5066-409a-87c3-31ec6c7fb86f · inbound

Interleaving Reasoning for Better Text-to-Image Generation cites this paper.

Interleaving Reasoning for Better Text-to-Image Generation ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-04T22:55:44.963071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:55:44.963071Z digest=sha256:e3692cd02ed138d0cfe906883206398f59f2e5d3395792d4702996fc2c363e6b

Observation dbabc6ae-253a-4a84-af00-9a0b29091d0a · inbound

Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching cites this paper.

Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:16:27.827544Z

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=2026-05-18T14:13:48.523955Z digest=sha256:f48c9a6b550986e707ec127589b7baeb38a6653e765cfea7f416d40d89ed9429

Observation 6831a40b-0b95-46e9-a4b1-5bd3a654a024 · inbound

A Unified and Controllable Framework for Layered Image Generation with Visual Effects cites this paper.

A Unified and Controllable Framework for Layered Image Generation with Visual Effects ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:57:50.209325Z

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=2026-05-16T11:54:46.989748Z digest=sha256:8b159ebb92d7494f28a9187694e88adc231ac455437f2cc5866bd44761b037ed

Observation 2fe808b7-d894-4cdd-a37e-c15a761e98e2 · inbound

ChatUMM: Robust Context Tracking for Conversational Interleaved Generation cites this paper.

ChatUMM: Robust Context Tracking for Conversational Interleaved Generation ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T03:57:32.187422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:57:32.187422Z digest=sha256:79da79977873e1b8ca4d4d4e07ea038074825bf7bc8974b3c7b971ab46af7c10

Observation 8b979bfd-5b5e-4258-bc7a-b3181546b5a9 · inbound

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving cites this paper.

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance

Reference 120

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:31:26.157791Z

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=2026-05-12T04:13:37.421188Z digest=sha256:6aefb1c504beb28958c26a2cca5367fbcc263a5c38817b4ca6daffb29efe40a9

Observation f9b83be8-c696-47eb-8e19-0c08e7c9a01d · inbound

ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment cites this paper.

ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-13T08:53:07.449867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T08:53:07.449867Z digest=sha256:ff1f5a00bf7ddcd39067804f5c41706d5a0ce2a8d35f873e0aea7e84b94bc235

Observation 3383bfe0-8243-4391-98a0-1699edfd775d · 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 Your LLMs to See, Draw, and Self-Enhance

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:38:28.860881Z

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:e8dc947789789d30940b56750ece87a635cc79695e31ce83519bdaa269f02ef2

Observation 3ae144de-6c0d-4abd-947b-fc6c2c87456a · 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 Your LLMs to See, Draw, and Self-Enhance

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:58:47.406447Z

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=sha256:21bb5211f30abdaec1c83dd0af7b395805e623701a85d2f8147c3cf022847917

Observation eb24eef9-46b5-4de4-b4d0-b995405ff35d · inbound

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

Twins: Learn to Predict Unified Representations with Focal Loss ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-01T04:29:49.136963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:29:49.136963Z digest=sha256:bde2100c56308d34430d1f1204fde47d19d3b8dcf129669f96f67d53afe5152c