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Paper Citation Record · LEDGER

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision

As of 17 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2412.19533.

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

pith.paper-citation-record.v1
2412.19533 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:18:34.773961Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7336ab64-f7a8-44af-bf0a-c06b650c2d47 · outbound

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

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 1

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Observation dee394d0-acd6-4421-8b04-0e9fc70c7eca · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Adding conditional control to text-to-image diffusion models

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 07e7b2a4-f7cc-47e9-bbab-64f8fe052b02 · outbound

This paper cites Ssr-encoder: Encoding selective subject representation for subject-driven generation, 2024.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Ssr-encoder: Encoding selective subject representation for subject-driven generation, 2024

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6435ca8a-5268-4271-a926-0746e860867a · outbound

This paper cites Learning transferable visual models from natural language supervision.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Learning transferable visual models from natural language supervision

Reference 4

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Observation deeb24db-3da3-493a-b000-88de908f69e5 · outbound

This paper cites Denoising diffusion prob- abilistic models.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Denoising diffusion prob- abilistic models

Reference 5

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Observation 21ae2443-4aa7-4563-a3be-fe11982aa647 · outbound

This paper cites Diffusion models beat gans on image synthesis.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Diffusion models beat gans on image synthesis

Reference 6

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source=pdf_text observed=2026-08-11T00:18:34.346557Z digest=sha256:5988b624449c4e2c75055967a185bf089343179e10f1796f66fdf2c46dc72ac9

Observation 3b654060-1e62-4830-a8a6-70e80c56446b · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision High-resolution image synthesis with latent diffusion models

Reference 7

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source=pdf_text observed=2026-08-11T00:18:34.351910Z digest=sha256:7612056bb38ca0f97aeff9b1cd2a3e6d6df4905f3a8c76a21d2b90af23051bcc

Observation fcc3b068-66db-40e2-ad99-2ff3bf7b0b4a · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 8

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Observation 73ac5409-c949-4620-b72b-db6a026551ca · outbound

This paper cites Photorealistic text-to-image dif- fusion models with deep language understanding.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Photorealistic text-to-image dif- fusion models with deep language understanding

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1def3fcd-9a3c-41ed-bb83-03d390692c6e · outbound

This paper cites Scalable diffusion models with transformers.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Scalable diffusion models with transformers

Reference 10

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Observation 0b6b5722-5cd2-4521-8b5b-071c068a6daa · outbound

This paper cites Playground v2.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Playground v2

Reference 11

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Observation 977a4bd6-73d5-4b0d-b4f8-0b511ef223f7 · outbound

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

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 12

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Unavailable: canonical work link unavailable.

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Observation c3643931-15d8-43b8-a20e-cffdaa1144e5 · outbound

This paper cites DiffEdit: Diffusion-based semantic image editing with mask guidance.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision DiffEdit: Diffusion-based semantic image editing with mask guidance

Reference 13

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Observation 67e9c5fc-f3f5-4224-87a3-6b11d87bc9c2 · outbound

This paper cites Noisecollage: A layout-aware text-to-image diffusion model based on noise cropping and merging.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Noisecollage: A layout-aware text-to-image diffusion model based on noise cropping and merging

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 32254edc-6ce7-4e55-ade7-e5c8f003308e · outbound

This paper cites DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing

Reference 15

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source=pdf_text observed=2026-08-11T00:18:34.391980Z digest=sha256:d5d6e918d0b5630f6f8e81ab0140dc82d2fe0763f859b5ecace5ef89943bb69c

Observation 7a7da9a6-af9b-43df-a693-cb7ea044acfb · outbound

This paper cites Denoising Diffusion Implicit Models.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Denoising Diffusion Implicit Models

Reference 16

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Unavailable: canonical work link unavailable.

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Observation 3ecb8cdc-cdc5-45f6-8953-590192802391 · outbound

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

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 17

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Observation 6bd88097-7042-4a8b-bce1-106d4feb035f · outbound

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

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Multi-concept customization of text-to-image diffusion

Reference 18

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raw_fallback, observed 2026-08-11T00:18:35.470716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b0d83c01-f2cd-4070-a8ba-0db2f7e2f67f · outbound

This paper cites Svdiff: Compact parameter space for diffusion fine-tuning.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Svdiff: Compact parameter space for diffusion fine-tuning

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b364566f-2fcc-4446-885f-94290b03495d · outbound

This paper cites Elite: Encoding visual concepts into textual embed- dings for customized text-to-image generation.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Elite: Encoding visual concepts into textual embed- dings for customized text-to-image generation

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 72ebf90d-6abe-4589-896a-27ae81639a8d · outbound

This paper cites Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models

Reference 21

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Observation c8425efb-6512-475a-a019-220cc139dedf · outbound

This paper cites Encoder-based domain tuning for fast personal- ization of text-to-image models.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Encoder-based domain tuning for fast personal- ization of text-to-image models

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:18:34.707274Z digest=sha256:97e2f8d12492bdc613c5931ae7dcf3682eae899ab6328d982a0075d9b3a4f5f3

Observation f0fa9c5f-2e49-4927-a07d-9ed205df0881 · outbound

This paper cites FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention

Reference 23

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Observation 96e94e4e-e0fc-4094-a656-6b9176194af8 · outbound

This paper cites Blip-diffusion: Pre-trained subject representation for controllable text-to-image generation and editing.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Blip-diffusion: Pre-trained subject representation for controllable text-to-image generation and editing

Reference 24

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:18:34.744885Z digest=sha256:b33a9920addcd7c2414bc1abd027c74cc1b5d65b6e667519f26e9ddb1b541577

Observation f2b7865a-9512-4ade-b1f0-0fbede29e9c1 · outbound

This paper cites InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning

Reference 25

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source=pdf_text observed=2026-08-11T00:18:34.749977Z digest=sha256:533418f69a17f0563c28c471679380afb97bdaa88e7adff7a243b45bbcdba1bf

Observation ec3fdf8d-216e-47d2-a429-7ccd27564310 · outbound

This paper cites MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model

Reference 26

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source=pdf_text observed=2026-08-11T00:18:34.755096Z digest=sha256:ad4f0004249d49d4c4a7eacf15664e5be59b1fb4c1d454f48ac19e95d3be9f9a

Observation 1514fc8c-a4bc-42bf-a6d0-906889e65c42 · outbound

This paper cites Pivotal tuning for latent-based editing of real images.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Pivotal tuning for latent-based editing of real images

Reference 27

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raw_fallback, observed 2026-08-11T00:18:35.357283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b3c3568e-4129-4999-888a-186ed9c6ed6c · outbound

This paper cites Designing an encoder for fast personalization of text-to-image models.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Designing an encoder for fast personalization of text-to-image models

Reference 28

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raw_fallback, observed 2026-08-11T00:18:35.199278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:18:34.765439Z digest=sha256:6d87dd340143b19af21e03a7d6f8bc82190b2052b4997f8534e9901da0d7813e

Observation bbc2fb89-3957-40de-8e1e-b418f6347f5c · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision A style-based generator architecture for generative adversarial networks

Reference 29

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source=pdf_text observed=2026-08-11T00:18:34.769465Z digest=sha256:309a86c09510bee27b24940ded8cc73d40c078f13591657969d659932d44126a

Observation 0c6d2b14-6dcc-49eb-8f86-176825c91e0e · outbound

This paper cites Emerging properties in 9 self-supervised vision transformers.

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision Emerging properties in 9 self-supervised vision transformers

Reference 30

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raw_fallback, observed 2026-08-11T00:18:35.030543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

No inbound Pith citation observations are available.