Pith. sign in

Paper Citation Record · LEDGER

Zero-Shot Dynamic Concept Personalization with Grid-Based LoRA

As of 7 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2507.17963.

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

pith.paper-citation-record.v1
2507.17963 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:44:58.688616Z

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 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

5 of 5 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f235a6d6-3aa6-4e59-87d7-e0f4528a543d · outbound

This paper cites FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models.

Zero-Shot Dynamic Concept Personalization with Grid-Based LoRA FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T14:44:58.682508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:44:58.682508Z digest=sha256:b5bf72eb38d6e65f476c956772b6d1d88153e34ad1b9f42837f3272c836ff081

Observation 6f9d28eb-dc3b-4c00-84d9-cef221d8d2c9 · outbound

This paper cites MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation.

Zero-Shot Dynamic Concept Personalization with Grid-Based LoRA MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T14:44:58.688616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:44:58.688616Z digest=sha256:e6901c250a050f04e5800fc048868d5c83b86f34e298d045db521049d7026e00

Observation 6f13703d-fb49-4765-b6a9-a29ad4d50051 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence44, 10 (oct 2022), 5962–5979.

Zero-Shot Dynamic Concept Personalization with Grid-Based LoRA IEEE Transactions on Pattern Analysis and Machine Intelligence44, 10 (oct 2022), 5962–5979

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T14:44:58.505066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:44:58.505066Z digest=sha256:ca5de40458d48556c2bd54da1aa122b346ee332fb2fae7bf1c0e00262cba73ec

Observation 59ed7d7d-b2bb-48c4-aa95-8c18c010fdc9 · outbound

This paper cites Break-A-Scene: Extracting Multiple Concepts from a Single Image.

Zero-Shot Dynamic Concept Personalization with Grid-Based LoRA Break-A-Scene: Extracting Multiple Concepts from a Single Image

Reference 2023

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T14:44:58.962776Z

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=2026-08-06T14:44:58.440458Z digest=sha256:76231a4cf4c83f0133f779985250bfe3c0a28ccba710693e3b8e7eb274fe56af

Observation ecf3f779-7e1b-49c2-88ef-5d99bd2b302e · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

Zero-Shot Dynamic Concept Personalization with Grid-Based LoRA HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T14:44:58.590618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:44:58.590618Z digest=sha256:0a94842a8c171cf5a6d85098fdfb505141edfa0e0745b5212e124fe37525d72c

Pith citing papers

No inbound Pith citation observations are available.