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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 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:19:59.392458Z digest=sha256:2492887dc6eadefbbb92b3ced2f3ac02c197f5641c7606f775f6f1e3896bc9cf

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=sha256:956d6fe08ff70fe688781012047abeea57dc75c5d8edc86a832be831eaad9928

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=sha256:26ee71a9305d760ebac83fae528cefa35a466b61e95bfecfc7a3fc16193b0ca2

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:19:59.666800Z digest=sha256:5488e3e097c2c61722170d7c55e756a9ca3584fbfad975960bca31a77f7343d4

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=sha256:88de9ce782e6833b5deb94d566e70b49ffa8c2dcc2b084394f3c7eaddce05c8d

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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no resolver link, observed 2026-08-05T05:19:59.919498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:19:59.919498Z digest=sha256:e8565a1dfb7f75e612b395a9212c75932d33e90f7e03954a60c87fb030baee98

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=sha256:1346a8ff5151e01478bee3a4c02f198a579e2adee2f4c08e6ff4ca4ecdff4d73

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:20:00.149096Z digest=sha256:eda8c73b43780908817652843c908b73ebe9979f6a525677d7636e0139176f70

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:fd58bb72f3d0c0f9389ed105a681076283a1625c1310b06b7dd02a1ddfe27ee4

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=sha256:49de35bd9b2710e7c1d1c94a3686c9c9a7c9418a89328257b7652c10e4355d25

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:fc8c7ac4e329604cfad1f147b0c920d7915e720687241988aae8f7a7c141b519

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:20:00.552973Z digest=sha256:3e737bd8f313b45f90dd8e9c07d796fb4d40c5852e24d494a9ebeaa186e42e4f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:20:00.669128Z digest=sha256:ec749987e5e041426cba17e54336f7e8fe97bcec1456318d927a833a6821fd60

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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no resolver link, observed 2026-08-05T05:20:00.815475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:20:00.815475Z digest=sha256:055bf0c94138972c124abac371c984bbe0f43f683657996e22fa1e684ca175f3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:20:00.948198Z digest=sha256:9da3963031a0e17d05e99909bf90f2509fcb37d4b8e0ba34d1919e13b287d187

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=pdf_text observed=2026-08-05T05:20:00.951849Z digest=sha256:55659b2c3b3c706092a75d69dacc4402239e7e5d027da3a22667cd4d0d3f33b6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:20:00.955209Z digest=sha256:fda09dd43914f2a77659c9e766db50998ff78d24371ddccd034bef2524a0482c

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:a85ba97c71fca8e4e4693040fe36ce477c1fe6879e60945e653f87a75e3a386f

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=sha256:45fd7a23216a7a2f5b72a442463864e678eb96fb58142ee0cd37f3ac73287fbb

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=sha256:20f75213905d8cfe14f0fdee6c883a5a7215386b643416e1385c35a24f1c8f34

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=sha256:36cfa56fa207a9032c11d2141aabd18ed8acb83ae739218d87311678530c6f83

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:20:00.969637Z digest=sha256:1d3c9f4856059018305b418db84990dd6c3a2572a3f93275dc024ad6aa43657d

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=sha256:9c614c98c197f2e08965af7585015aaf3dfd71b9b5572dee6cc32c1b61701874

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=sha256:11d5b917256e60a58c1e18fab21a6b1e2b9214ade1ec68c38f67edbd4cc5df70

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:20:00.978425Z digest=sha256:a23be63f7bf7359d6194efefe774e7c14bdb7548d506b40e295007012c68b2de

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:d7db6153e58aeec47af2819d7a4860075c44aaaa30e2f3716b524f84abb8305f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T15:15:42.201352Z digest=sha256:96832898aceeac2ebd4c076811d0c2ef73233d8682436a545214ef3b262e4a8e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T19:33:13.609552Z digest=sha256:750f4271ca535e55b755c17776e31eb27d448394bd72328302f0659b77f282ba