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Paper Citation Record · LEDGER

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation

As of 19 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 2 inbound Pith citation observations for arXiv:2509.05659.

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

pith.paper-citation-record.v1
2509.05659 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:20:00.980909Z

measured 28 of 28 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:15:42.201352Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:36:10.197896Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd1b8979-408b-4267-ba71-3eeca7e9e143 · outbound

This paper cites Uno: Unsupervised occupancy fields for perception and forecasting.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation Uno: Unsupervised occupancy fields for perception and forecasting

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-05T05:20:01.454155Z

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=2026-08-05T05:19:59.392458Z digest=sha256:87493e1e6d2f73fcb8005581b70ec3ab6e0c918aacb612d5f96a8ae6cf624337

Observation 019efb57-85f6-4bfa-881c-5e0e162ffb03 · outbound

This paper cites an unresolved cited work.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation Unresolved cited work

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:19:59.466748Z digest=sha256:3721a2b5bc25b9173c84945b6cce00636ae21281a70177b190a1bd2938567777

Observation 19927f7f-b8c2-4d30-b728-7f6573860d98 · outbound

This paper cites XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation

Reference 3

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source=pdf_text observed=2026-08-05T05:19:59.576677Z digest=sha256:8ed0aeeee784533b60b65d356e52d5092d9a316dae73bbb37e23f93004e3cf7d

Observation 2bb8c29c-b7b0-40a2-83dc-ce4198e602df · outbound

This paper cites Unireal: Universal image generation and editing via learning real-world dynamics.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation Unireal: Universal image generation and editing via learning real-world dynamics

Reference 4

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no resolver link, observed 2026-08-05T05:19:59.666800Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T05:19:59.666800Z digest=sha256:4be45e6ec5c24d0bc0c0b856558a9f121bb81ba03d2fbc26a1c9c4f86add8e7a

Observation 68b90037-c94a-417c-b36f-96ea022d3b1a · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation Arcface: Additive angular margin loss for deep face recognition

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:19:59.775968Z digest=sha256:36b5462e0105a6156fe82312f0c989fc6c52ef4b6b80ccc2012877e5821537af

Observation 8c19e9ac-abc8-4e5c-87d9-1725828ede85 · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:19:59.919498Z digest=sha256:cadeaf8f1edf582ce8875d7142a75ab29a84a42790fd3e783aa0acbd09261733

Observation 05615523-8d4a-4800-b6f3-09173754f5ee · outbound

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

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 7

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no resolver link, observed 2026-08-05T05:19:59.975813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:19:59.975813Z digest=sha256:c88882a390e1260701f67ab3e3588c7182971b726debaed92eb6d5087002a406

Observation 5204bbe2-bfa1-4bef-9aaf-41a09147647f · outbound

This paper cites Pulid: Pure and lightning id customization via contrastive alignment.Advances in neural information pro- cessing systems, 37:36777–36804, 2024.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation Pulid: Pure and lightning id customization via contrastive alignment.Advances in neural information pro- cessing systems, 37:36777–36804, 2024

Reference 8

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raw_fallback, observed 2026-08-05T05:20:01.418139Z

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=2026-08-05T05:20:00.149096Z digest=sha256:a15ffb47829ef90bf6a087afddaf7dea87cc5cea9e51118c3da157419f2ca563

Observation 53bb62a0-9734-4527-aaa2-706a98acbea4 · outbound

This paper cites InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:20:00.243410Z digest=sha256:ce163494d81179c8294dce2ade81f787de9b03611281a0e0d772d7f5bcc38f0f

Observation db5a3299-f44e-4e3d-9c13-4674a32400c3 · outbound

This paper cites Multi-concept customization of text-to-image diffusion.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation Multi-concept customization of text-to-image diffusion

Reference 10

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source=pdf_text observed=2026-08-05T05:20:00.329262Z digest=sha256:f5bc6a411c46c0b3b2835acae96d5590390f08d5c1114f2964286e262fa94238

Observation 2ba38534-ed75-4c5b-959b-7a5876c48857 · outbound

This paper cites EditID: Training-Free Editable ID Customization for Text-to-Image Generation.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation EditID: Training-Free Editable ID Customization for Text-to-Image Generation

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:20:00.405072Z digest=sha256:46e809c6b06c606c6637c807f6609a1d958448c1bab62bb19ba3cf894a398a01

Observation 7fdb1013-ce0d-4f33-9eeb-8feb5a18014b · outbound

This paper cites Flow Matching for Generative Modeling.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation Flow Matching for Generative Modeling

Reference 12

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source=pdf_text observed=2026-08-05T05:20:00.552973Z digest=sha256:ed67540370c43d529ddf3dc24db90544336f1c9329992993c651d69d48c13212

Observation b679775d-1a69-461f-83e9-34d64fecba70 · outbound

This paper cites FaceChain: A Playground for Human-centric Artificial Intelligence Generated Content.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation FaceChain: A Playground for Human-centric Artificial Intelligence Generated Content

Reference 13

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verified exact
local_arxiv, observed 2026-08-05T05:20:01.301083Z

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=2026-08-05T05:20:00.669128Z digest=sha256:cd43711269e6f1b857d6c2eedd7dc6ecfacb572b36740aae5667213ec447fa36

Observation 5c6563f8-b2f9-4347-8e5e-d5ce285050fe · outbound

This paper cites Dreamo: A unified framework for image customization.arXiv preprint arXiv:2504.16915,.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation Dreamo: A unified framework for image customization.arXiv preprint arXiv:2504.16915,

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:20:00.815475Z digest=sha256:796b7c119adfa83816ec41b2cdfc9644ad82e32c174a7da2c9bf7240cf83c41d

Observation 8f7e6856-5c2e-47ad-9cf4-eacacc3b1edc · outbound

This paper cites Mystyle: A personalized generative prior.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation Mystyle: A personalized generative prior

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-05T05:20:01.401859Z

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=2026-08-05T05:20:00.948198Z digest=sha256:1611e3f9a7e1736668b6c613d7a31654c271a605f36e6302ab4b5a5aa1f2abe0

Observation b98e5054-f7ba-49bf-bedd-2ce9a43c7748 · outbound

This paper cites Scalable diffusion models with transformers.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation Scalable diffusion models with transformers

Reference 16

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T05:20:00.951849Z digest=sha256:6e17e666ced738b4920e875f1d1e368a108870249ed45a57e44cd72337551de3

Observation 81dca6bb-b07a-4824-81d9-1e5e15c40297 · outbound

This paper cites Portraitbooth: A versatile portrait model for fast identity-preserved personalization.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation Portraitbooth: A versatile portrait model for fast identity-preserved personalization

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-05T05:20:01.385268Z

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=2026-08-05T05:20:00.955209Z digest=sha256:1b5c2b1f6b637ae4bd31175e37c2443859d1f1f50412b57d8ca6c5d355f0a4f8

Observation 81bb58aa-a2fd-4d32-aa17-06bc0675b819 · outbound

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

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 18

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source=pdf_text observed=2026-08-05T05:20:00.957811Z digest=sha256:cf9e109cf0a96ccffc824097c27afa3f17d3356c04d8fb1ccff183e3cc641ff6

Observation 89ced0c7-c257-4acf-a08e-48fbb129af26 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 19

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source=pdf_text observed=2026-08-05T05:20:00.960784Z digest=sha256:929d956f20635b5a6f6dab91a7b06857abfe31b13378fa3f60e2bbe0dba8524f

Observation e627282e-42a3-4f9b-b6dc-ab948a7b2dd6 · outbound

This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation EVA-CLIP: Improved Training Techniques for CLIP at Scale

Reference 20

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source=pdf_text observed=2026-08-05T05:20:00.963413Z digest=sha256:768fd2c912fcd6cc20326b7e50be4fee96b140c7927334f7ac9ab199d731ea39

Observation f79817e1-cbef-49f9-8b53-ddfdeae11c28 · outbound

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

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation OminiControl: Minimal and Universal Control for Diffusion Transformer

Reference 21

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source=pdf_text observed=2026-08-05T05:20:00.966530Z digest=sha256:bdd18f1b837c377b63a03ce95cc2cd6eca86f4d4d99d1ab2e4a13b5e3be55594

Observation 2ada14cb-129d-402b-b979-94b01c382c48 · outbound

This paper cites Training-free consis- tent text-to-image generation.ACM Transactions on Graph- ics (TOG), 43(4):1–18, 2024.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation Training-free consis- tent text-to-image generation.ACM Transactions on Graph- ics (TOG), 43(4):1–18, 2024

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-05T05:20:01.368891Z

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=2026-08-05T05:20:00.969637Z digest=sha256:6ee32fedfeb3fe132030a1e0cf4d2ca50ea6d76fa6d649622c28d59f50c8715b

Observation 2bae9a30-e521-4019-a44a-b1fe7a86bbf7 · outbound

This paper cites USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning

Reference 23

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source=pdf_text observed=2026-08-05T05:20:00.972643Z digest=sha256:550a4633c833be73cf629a2a743600e09b2efe07f6106b4b5bc8b69fc421490c

Observation 299a3d50-ab0c-4d08-9f21-970dc41eb57f · outbound

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

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:20:00.975597Z digest=sha256:06480fa2a975b87024423fba8f60b120bea7b052a22065d1def5fa6b9b5f692a

Observation 603dc82d-2c1b-4087-9632-a1cd68e42b95 · outbound

This paper cites Fastcomposer: Tuning-free multi- subject image generation with localized attention.Interna- tional Journal of Computer Vision, 133(3):1175–1194, 2025.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation Fastcomposer: Tuning-free multi- subject image generation with localized attention.Interna- tional Journal of Computer Vision, 133(3):1175–1194, 2025

Reference 25

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source=pdf_text observed=2026-08-05T05:20:00.978425Z digest=sha256:13b336bf29e054694354e5b202da96084de09fc0f7f7173743e0a5f5b713afdd

Observation d74e3745-90a5-4989-9740-ba12e673773c · outbound

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

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:20:00.980909Z digest=sha256:f81ed2419b988a6bdab439f384815176429c10a364ac030e6e1dc17e39b083ba

Pith citing papers

Observation cff09d23-ed81-49b3-8522-017c75711e15 · inbound

LayerCache: Exploiting Layer-wise Velocity Heterogeneity for Efficient Flow Matching Inference cites this paper.

LayerCache: Exploiting Layer-wise Velocity Heterogeneity for Efficient Flow Matching Inference EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation

Reference 10

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arxiv_id, observed 2026-05-11T10:56:05.181551Z

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=2026-05-10T15:15:42.201352Z digest=sha256:dd180a046566fdbeb3767e96ebe69ca783ea1cf52d3b329df7a6a79f51eb9939

Observation d775123b-791e-401b-9cd0-8cc46afcee1f · inbound

PhysEdit: Physically-Consistent Region-Aware Image Editing via Adaptive Spatio-Temporal Reasoning cites this paper.

PhysEdit: Physically-Consistent Region-Aware Image Editing via Adaptive Spatio-Temporal Reasoning EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation

Reference 13

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arxiv_id, observed 2026-05-11T15:36:10.202677Z

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=2026-05-09T19:33:13.609552Z digest=sha256:f502b73ed1c2de1800dc98a92c542936bc000c43014b7700e18df535f2a29731