Pith. sign in

Paper Citation Record · LEDGER

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding

As of 6 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2604.13540.

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

pith.paper-citation-record.v1
2604.13540 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T14:15:02.723774Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

  • verified exact12
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 24737616-9a47-473b-88bd-6601e0d62702 · outbound

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

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:14:53.293790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T14:15:02.723774Z digest=sha256:7ffb251428ea67e38a7db8ffca143f9966e06096724ef692341e599496cdbede

Observation 6cf1abac-1d10-464f-8a97-e7fc89eb6710 · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-13T00:54:40.489660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T14:15:02.723774Z digest=sha256:006aba222fe181b2a199f005a1d3694f451b337b8a04cd4075392e3eb4944d69

Observation 5ecaf5bd-edb1-457d-90b4-bf7544875243 · outbound

This paper cites Emerging Properties in Unified Multimodal Pretraining.

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding Emerging Properties in Unified Multimodal Pretraining

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-10T16:23:42.412235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T14:15:02.723774Z digest=sha256:738c71fcf3cb34ed1181bd39a3dbbf4f206fc2931e1af5314bd10e0447e1eace

Observation 01332f9f-cd8b-4bb8-b7c3-553d3e57960d · outbound

This paper cites GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment.

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T14:15:28.974537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T14:15:02.723774Z digest=sha256:0466411a372ba1cfe3ec9b04ab200a7667f4b216847732ce590909ae9a9fc5db

Observation dabe7962-fcd2-4b9f-8c9a-f390a018f5b4 · outbound

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

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-10T14:15:29.017261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T14:15:02.723774Z digest=sha256:9b932a99ec6ca8fed68c18f347af50735353cf7ed2f2d982c5f0bb6247fda945

Observation 8c2d6a0a-44bf-4c92-9a5a-6c8cd116b812 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding Classifier-Free Diffusion Guidance

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-10T15:00:27.982267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T14:15:02.723774Z digest=sha256:b1c476a658a2f80b230fb757c1dd9818cf2da415481d7b827a34864836c31c87

Observation 03c50dd1-1e34-492c-a3f7-cc4d94827690 · outbound

This paper cites ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment.

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:43:03.755490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T14:15:02.723774Z digest=sha256:1e6653cb4b826d9a393535048079a36aa70f2ee70c01c7272515f99d9df94433

Observation 6cae96b6-9cd4-4ce6-8ef1-3fa5e551dabe · outbound

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

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-12T17:34:27.304691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T14:15:02.723774Z digest=sha256:d98d154beb4bc848ad61d7b15f3d4b09599cd0e590e3b27a94e13732fd250009

Observation 9aa61bb8-5042-4e6a-ab2e-7f96f3a8d085 · outbound

This paper cites Flow Matching for Generative Modeling.

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding Flow Matching for Generative Modeling

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-05-10T14:15:29.000052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T14:15:02.723774Z digest=sha256:abbedb346d26978414268bc97230c81cc464ac5c0e2c7ae50c85372040e32b85

Observation 544b655d-27ec-4060-964e-bfa509037882 · outbound

This paper cites Uni-cot: Towards unified chain-of-thought reasoning across text and vision.arXiv preprint arXiv:2508.05606.

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding Uni-cot: Towards unified chain-of-thought reasoning across text and vision.arXiv preprint arXiv:2508.05606

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:15:28.985902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T14:15:02.723774Z digest=sha256:e2e9fcec5abc1f12d45ce9a06d1b7a95aece91fdeccfcea2dafb8bf5fa392d44

Observation 85b178fd-4ad0-47f0-974e-080507de5924 · outbound

This paper cites TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation.

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T14:15:28.979944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T14:15:02.723774Z digest=sha256:ec9a2cde7a7f2986d6fd364e21e6c8119b05678fae2610e96e0613c04c199bc5

Observation b0800302-88df-4745-bf7b-dd720fc3f116 · outbound

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

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding LMFusion: Adapting Pretrained Language Models for Multimodal Generation

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T14:15:28.953805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T14:15:02.723774Z digest=sha256:1486e967b9c95a4c9c708ffdfdf6585d75ddafbedbb442c793699bf61fb59f59

Observation 76583375-fdc1-4add-9d4e-7f223ad8d26a · outbound

This paper cites Improving Image Captioning with Better Use of Captions.

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding Improving Image Captioning with Better Use of Captions

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T14:15:28.958910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T14:15:02.723774Z digest=sha256:f93bbd38339ab7aa208213ef5237bab1af0976a23b3368d42d290b3fca8289b4

Observation 0001630c-4456-4ef4-b068-4a49be2a21ba · outbound

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

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:03:28.218044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T14:15:02.723774Z digest=sha256:cdd7b768737ce4b6efa060b6f307678358a8fe64a981b67caf370e54a2227cf5

Observation 322f73f2-315e-47a4-b66d-991648ca7902 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-10T17:58:27.800589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T14:15:02.723774Z digest=sha256:c7b8a0e34b8ee4a5cb6831702ca17d0a62e4e0c2845b0c224a542f95554f1b01

Observation b143072c-af30-4f5a-b92a-4ef2688af517 · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding Emu3: Next-Token Prediction is All You Need

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:56:09.993852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T14:15:02.723774Z digest=sha256:7e394fab95be620de19cda2365babe9a491510cf661cffa737f93922b33a4a27

Observation 5c9b118e-708b-4639-8572-a17aa07ce5a2 · outbound

This paper cites arXiv:2510.22946 (2025) 3.

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding arXiv:2510.22946 (2025) 3

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:15:28.946140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T14:15:02.723774Z digest=sha256:986c99c81e101efb78dde74b229cb8ae1e1a726ec22ea2018311bdd949e05b24

Observation f16f6d0d-1bb4-4c3b-a7ef-7a96ce2d136e · outbound

This paper cites Unified multimodal understanding and generation models: Advances, challenges, and opportunities.arXiv preprint arXiv:2505.02567.

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding Unified multimodal understanding and generation models: Advances, challenges, and opportunities.arXiv preprint arXiv:2505.02567

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T14:15:28.950010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T14:15:02.723774Z digest=sha256:73051ad8febea320498d297e7951c4e90d07d737de1496bc3b978199f478fc2d

Pith citing papers

No inbound Pith citation observations are available.