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Paper Citation Record · LEDGER

Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.18301.

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

pith.paper-citation-record.v1
2411.18301 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:21:36.425140Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:02:50.398472Z

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 856ae90a-91db-4aef-bce8-f6a7f4ba09ff · inbound

JEDI: The Force of Jensen-Shannon Divergence in Disentangling Diffusion Models cites this paper.

JEDI: The Force of Jensen-Shannon Divergence in Disentangling Diffusion Models Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:21:36.425140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:36.425140Z digest=sha256:a5370b30ea9de64b21637f8b1b46ae10e616bddeba47f2248b92173e858c4c07

Observation 4de35d14-f731-4746-ba70-481e00658dbf · inbound

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling cites this paper.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T15:19:24.182520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:19:24.182520Z digest=sha256:7b93fd4822ea639a315c0fe673ab099b71fb3a96f0cf0c0abd1b6548b5940216

Observation 9bfe246e-1ad4-4f52-8f8e-d93c200fa060 · inbound

Detail++: Training-Free Detail Enhancer for T2I Diffusion Models cites this paper.

Detail++: Training-Free Detail Enhancer for T2I Diffusion Models Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:53.470401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:53.470401Z digest=sha256:da788fac3ab98625cb5f3b18125d2eae3bae9d22d31c6dc54c4c6c6ca4c388c2

Observation 50c1ff24-d2f5-4c3c-a041-996742e60fc0 · inbound

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering cites this paper.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:02:50.403741Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T22:02:50.152765Z digest=sha256:cd699235005c9956e25f4183daa7fb9dbb3cf998fc8381a6de0f5cb2d73d0b30

Observation d5ea9f5f-5257-4c32-a219-cd3e9235ba5b · inbound

RubricRL: Simple Generalizable Rewards for Text-to-Image Generation cites this paper.

RubricRL: Simple Generalizable Rewards for Text-to-Image Generation Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-03T20:15:30.592173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:15:30.592173Z digest=sha256:0e9cc8000cfce2298d9d85bd907a9329054f79f6eabd86acce5a6f43c41d4b2f