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Paper Citation Record · LEDGER

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework

As of 19 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 6 inbound Pith citation observations for arXiv:2504.12395.

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

pith.paper-citation-record.v1
2504.12395 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:35:23.044278Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:48:44.086426Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T03:51:29.458587Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 39dbd01e-ba3c-4be3-8244-7d9c62884975 · outbound

This paper cites ACM transactions on Graphics (TOG) 42(4), 1–10 (2023).

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework ACM transactions on Graphics (TOG) 42(4), 1–10 (2023)

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:35:23.481742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:35:22.938213Z digest=sha256:620464bc0493c4db06bb0ec95e38ae858bb8e91165f938c786a496b3a9116401

Observation 38405a51-d66a-4049-97d5-a1dbf9a1f1ea · outbound

This paper cites In: Forty-first international conference on machine learning (2024).

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework In: Forty-first international conference on machine learning (2024)

Reference 2

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no resolver link, observed 2026-08-16T12:35:22.943074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:22.943074Z digest=sha256:548ac20e165d58e24a69373201c017efef7bf56f3610219951ab1f84261ed405

Observation 4ead6ac9-6535-4f9e-932c-66dbca2417cd · outbound

This paper cites Personalize Anything for Free with Diffusion Transformer.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework Personalize Anything for Free with Diffusion Transformer

Reference 3

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no resolver link, observed 2026-08-16T12:35:22.947117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:22.947117Z digest=sha256:fcedfc844880f9171a4239330202df4b82c39bec8d45269f9cbe99e4c7a2332a

Observation 4750cf2c-9891-43b6-bddd-eea59b006e53 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 4

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unresolved
no resolver link, observed 2026-08-16T12:35:22.952058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:22.952058Z digest=sha256:fb4b7bf9790e78866476bbe51b9936d6b723320c81348779412777f808b220d7

Observation 3a5b53b9-64d7-42e8-9d0f-ec00af1af80a · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:35:23.457638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:35:22.956643Z digest=sha256:660e74baa0005011505a9805e2489d60c964de3f8f58e834dc48e517ab2a1095

Observation 60f72950-ed2a-4eef-9954-f35d961c1449 · outbound

This paper cites GPT-4o System Card.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework GPT-4o System Card

Reference 6

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unresolved
no resolver link, observed 2026-08-16T12:35:22.960863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:22.960863Z digest=sha256:f707b28828125b4615b488ba4f45a2e9bcbef12889ad8e663b1ca55c67debfce

Observation 994c2614-d066-4bbf-8853-d3ca7be765d7 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:35:23.444037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:35:22.965662Z digest=sha256:c9123f65c19a3a870e39b752a648d343a62da338b8f17fe1abe15f36dd26ead7

Observation 2dd8bdc4-ab07-49ec-a5bb-1271584634bd · outbound

This paper cites an unresolved cited work.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework Unresolved cited work

Reference 8

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unresolved
raw_fallback, observed 2026-08-16T12:35:23.429422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:35:22.969734Z digest=sha256:7f4f4e4af06bb120613ce6bbcbdf9657cbc18fa99e6aadd366247a00d92cc86a

Observation bd27bdb2-5da3-4c55-8e53-6643515a840d · outbound

This paper cites Advances in Neural Information Processing Systems 36, 30146–30166 (2023).

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework Advances in Neural Information Processing Systems 36, 30146–30166 (2023)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:35:23.415769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:35:22.973731Z digest=sha256:7eae3574ea0fcceb640d0357c542277fb1dc89f82ad4886536348317cbe952c8

Observation eac6e038-d6a9-4853-b7aa-efe8689b1931 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:35:23.401058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:35:22.977678Z digest=sha256:39eba1e33cd31e9fb5538a7f5ae1352c8604a32a498ae728a85cfe0e3c0da9e0

Observation 228d1020-e708-4b8f-99b6-34e25361630a · outbound

This paper cites ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling

Reference 11

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no resolver link, observed 2026-08-16T12:35:22.981677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:22.981677Z digest=sha256:7e9c540be698127b54f4d27385c0f74dc166c37cd200693e99d42c7e9c50a975

Observation e4259ab3-93ee-43d2-b34a-464cded263c4 · outbound

This paper cites arXiv preprint arXiv:2408.09744 (2024) 8.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework arXiv preprint arXiv:2408.09744 (2024) 8

Reference 12

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unresolved
no resolver link, observed 2026-08-16T12:35:22.985834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:22.985834Z digest=sha256:1d424fc3e4a53a582a3618d4766d960a7b490b6e43284844f123f3b1da7b8565

Observation 29ab4a5b-2c0c-43ef-87a9-621a8d9bcf39 · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework In: Proceedings of the AAAI conference on artificial intelligence

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T12:35:22.990230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:22.990230Z digest=sha256:4a8e4c0bc6fc90c086aaaff2f652078d77e6c2a25531a32f34e0feda5f508570

Observation 4df09472-b3bb-432b-9814-8b97bbeb5278 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework DINOv2: Learning Robust Visual Features without Supervision

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T12:35:22.994159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:22.994159Z digest=sha256:a2cd0238af97538c8fb82847e6c84e8a2821b04dd4d630edb3aadd98c06feca3

Observation 798f2f9b-91e5-4b09-ad4c-19eef76ccdd3 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T12:35:22.998437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:22.998437Z digest=sha256:7b7ca337e09995746bf8ee0e2eae668df7198529a6d13d7d41dcc344873fe8c4

Observation 5c287332-d526-4e44-bda4-acb6650f0458 · outbound

This paper cites In: International conference on machine learning.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework In: International conference on machine learning

Reference 16

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no resolver link, observed 2026-08-16T12:35:23.002645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:23.002645Z digest=sha256:b2bac5a38bc0aaedcb988c7f8588e9a79597e19c9fc165ffe6c24692bf5ff1a5

Observation 0a0e7c80-32f6-4814-8083-790b0038a531 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T12:35:23.006682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:23.006682Z digest=sha256:4006e0fe74d6ee49d582e8860aaaeafe2b69e53a71723cc0d96d0e19da2bcdc8

Observation 5c3f15bf-a397-47d8-9ac4-941e304ebaa1 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T12:35:23.010741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:23.010741Z digest=sha256:c9bdc3a7014404421344b3819c70024fe6fb0ae71e04ca44902807afa7aea4a2

Observation dd829872-2aa1-4205-8873-b256f88af542 · outbound

This paper cites In: European Conference on Computer Vision.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework In: European Conference on Computer Vision

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:35:23.353534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T12:35:23.014695Z digest=sha256:1fe9af835140d775f74bab750aec22f44e52ab47047a293abea282f6b285f999

Observation ebe09026-1380-4078-9e33-7fd3150a51f7 · outbound

This paper cites OminiControl: Minimal and Universal Control for Diffusion Transformer.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework OminiControl: Minimal and Universal Control for Diffusion Transformer

Reference 20

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unresolved
no resolver link, observed 2026-08-16T12:35:23.018704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:23.018704Z digest=sha256:a81cdb42e972dc83e3ed7ebf07f99e7e58582668334af1fae9e65c9694dd4d87

Observation 358df40a-a657-4c17-9306-7677ab85f47f · outbound

This paper cites CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models

Reference 21

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unresolved
no resolver link, observed 2026-08-16T12:35:23.023282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:23.023282Z digest=sha256:caae9bdbe3ae8d86323f6f582ef82def6f9f7cdd341679abc9a87c544fbaf430

Observation 1d656fa4-2786-4dd4-b87e-4ea689fb8f22 · outbound

This paper cites InstantID: Zero-shot Identity-Preserving Generation in Seconds.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework InstantID: Zero-shot Identity-Preserving Generation in Seconds

Reference 22

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no resolver link, observed 2026-08-16T12:35:23.027664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:23.027664Z digest=sha256:52848c15db9d5303af8266c3b6334df733cbdae92566325077a93b1ac5922f17

Observation be8c8d76-661d-4503-acfa-de7ea0b70cb9 · outbound

This paper cites Less-to-More Generalization: Unlocking More Controllability by In-Context Generation.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 23

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no resolver link, observed 2026-08-16T12:35:23.031855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:23.031855Z digest=sha256:fbae3c42323470192b18860c91736cccf6ccf212ad7da59f1906566c340a334b

Observation a0c79a0e-1cb7-43c4-9b17-3cbbafa2ca64 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 24

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no resolver link, observed 2026-08-16T12:35:23.036035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:23.036035Z digest=sha256:263d0d2e51a5bfd5914f06ca3acafebe683d12c97291790980da0584f73d653e

Observation 19c0af8e-d238-4553-bc48-26183a7a82ee · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 25

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unresolved
no resolver link, observed 2026-08-16T12:35:23.040189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:23.040189Z digest=sha256:dab71797fcaa433f021e18d321b85dccdb01b9b95650aff830493fbb1d959e25

Observation b6f24679-f250-43e1-8ea4-6b7e01767250 · outbound

This paper cites EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer.

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer

Reference 26

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no resolver link, observed 2026-08-16T12:35:23.044278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:35:23.044278Z digest=sha256:c8af2813dd5872d3d92e04083f9386a8b5842f177a7fbe8afb5f96504d694729

Pith citing papers

Observation 4e020307-4300-4ade-baf9-2a66862b4b2a · inbound

RepText: Rendering Visual Text via Replicating cites this paper.

RepText: Rendering Visual Text via Replicating InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework

Reference 40

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unresolved
no resolver link, observed 2026-08-16T05:48:44.086426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:48:44.086426Z digest=sha256:0df51bb1edb1f230f7968e2994ac2f86f81e5112734a5263c078ec66c24e0917

Observation a8899e6e-bf72-4845-89a6-0ab9694ecf98 · inbound

Hunyuan-Game: Industrial-grade Intelligent Game Creation Model cites this paper.

Hunyuan-Game: Industrial-grade Intelligent Game Creation Model InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:34.737370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:34.737370Z digest=sha256:e33e0dc4e91ec5120cc3146062145557e9ab8c0c0cbb7b4987bdc59f28118d2e

Observation 611d81e7-fc38-4357-a04b-789ef2f9fd45 · inbound

PSR: Scaling Multi-Subject Personalized Image Generation with Pairwise Subject-Consistency Rewards cites this paper.

PSR: Scaling Multi-Subject Personalized Image Generation with Pairwise Subject-Consistency Rewards InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-17T03:51:29.460887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-17T03:49:05.489626Z digest=sha256:48cca81a07b97b48f54c74352aded0879fed7aac6462cfd137e0abadf4178ee0

Observation 84c625a4-9051-4f34-b8bf-441123b38487 · inbound

VOSR: A Vision-Only Generative Model for Image Super-Resolution cites this paper.

VOSR: A Vision-Only Generative Model for Image Super-Resolution InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:33:14.605813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T20:33:09.233852Z digest=sha256:05e840dda0f40a55e6539a02ad94be2ed28e3431a2114e924eba419c0472b9d3

Observation 7c6420ec-3284-4d02-98d6-12d4e56b3f0a · inbound

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling cites this paper.

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:16:28.874266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-07T06:38:04.459129Z digest=sha256:a63dbe71c96858ea96ea8d1f641ee7b8600ed01346a2fda97e9345fefb2d5444

Observation bc0758ba-8b99-4226-84d4-d5f25d036341 · inbound

Beyond Facial Consistency: Personalized Person Image Generation with Holistic Identity Preservation cites this paper.

Beyond Facial Consistency: Personalized Person Image Generation with Holistic Identity Preservation InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework

Reference 23

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unresolved
no resolver link, observed 2026-08-01T01:55:51.546257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:55:51.546257Z digest=sha256:d7afae296153da274dbee718ecd3ac5802ec52574c7303032c390a21388dc6e1