Pith. sign in

Paper Citation Record · LEDGER

Improving Personalized Image Generation through Social Context Feedback

As of 16 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2507.16095.

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

pith.paper-citation-record.v1
2507.16095 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:22:32.874746Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

34 of 34 outbound references displayed

  • verified exact3
  • verified fuzzy20
  • unresolved9
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8aa495c3-2270-47f3-8379-b22de623db12 · outbound

This paper cites Blended latent diffusion.

Improving Personalized Image Generation through Social Context Feedback Blended latent diffusion

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:30.453905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:30.453905Z digest=sha256:15d4536e94e98e720021169251c0919092ecd5b9900c8298412ee022a2ff0445

Observation 3fc27bf0-9e8c-4475-b392-37d291b27d1f · outbound

This paper cites Emerging properties in self-supervised vision trans- formers.

Improving Personalized Image Generation through Social Context Feedback Emerging properties in self-supervised vision trans- formers

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:30.540511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:30.540511Z digest=sha256:3fdacf42c5a68134dfcf965749139a52a1739ce2a865c322e51f240e0858282b

Observation eadb3ac1-bcfb-4afe-87fd-def0f8c15274 · outbound

This paper cites Learning to detect human-object interactions.

Improving Personalized Image Generation through Social Context Feedback Learning to detect human-object interactions

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:33.693621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:30.636587Z digest=sha256:9d39cd4404e1d9a1bde73c18b6ca77f4f24ed7cdc4a2b123a3b01464f33887f2

Observation bf35d2ea-c0be-49d5-bf2b-59d6b0621c24 · outbound

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

Improving Personalized Image Generation through Social Context Feedback Arcface: Additive angular margin loss for deep face recognition

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:33.680842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:30.694775Z digest=sha256:1101ea56429ee0590af3b908535ad3b259dc0082aec8b9148cb5489a5c12d57f

Observation cef7a48a-efe2-45e4-8b6f-cb61510225e6 · outbound

This paper cites Bermano, Gal Chechik, and Daniel Cohen-Or.

Improving Personalized Image Generation through Social Context Feedback Bermano, Gal Chechik, and Daniel Cohen-Or

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:33.667410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:30.768295Z digest=sha256:6e5a5af09228b9483639c0cd6541aff4b0296dc82c2271e3889b26121cf05a54

Observation e1b242df-0fcc-4e9c-a469-5c248daa25d3 · outbound

This paper cites Mix-of-show: Decentralized low-rank adaptation for multi-concept customization of diffusion models.

Improving Personalized Image Generation through Social Context Feedback Mix-of-show: Decentralized low-rank adaptation for multi-concept customization of diffusion models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:33.654731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:30.833669Z digest=sha256:277ac4949da44000d6638f8b4666ba48d70e00fc6a9f90f291cd43690098eb59

Observation e2e153c8-23d8-4b5a-b37d-a11b5fc834f0 · outbound

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

Improving Personalized Image Generation through Social Context Feedback Svdiff: Compact parameter space for diffusion fine-tuning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:33.641812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:30.898043Z digest=sha256:cd6efe9a2960a52d7829dd6e7f613d98fb970a30e1004997feda9e18ef2ffef5

Observation 2fa283f8-c8a8-44aa-b912-42eff5f57674 · outbound

This paper cites In- teractdiffusion: Interaction control in text-to-image diffusion models.

Improving Personalized Image Generation through Social Context Feedback In- teractdiffusion: Interaction control in text-to-image diffusion models

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:33.629120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:30.989776Z digest=sha256:6e9f153b4a9413c2c6fca38273119d1e55fcb1270b2ad98aaa6245419b8a3de7

Observation e6e7ecbd-7783-4472-aa5e-0f04b369a65d · outbound

This paper cites Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation.

Improving Personalized Image Generation through Social Context Feedback Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:31.034573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:31.034573Z digest=sha256:cc838d90b7c98e76eab78ba83e24aad5f95b6ff9e7cb3fa6163b82142a78bd37

Observation 854c3ce9-0615-48c4-9e25-65341307f747 · outbound

This paper cites MagiCapture: High-Resolution Multi-Concept Portrait Customization.

Improving Personalized Image Generation through Social Context Feedback MagiCapture: High-Resolution Multi-Concept Portrait Customization

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:22:33.334589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:31.095296Z digest=sha256:e4a0575ab2a7f282731fb62c109fb2d19fcb49e2dd0d51e85c6d45e6fae5f54d

Observation a66199f6-2608-4aac-b78b-ba13d7c1e9ce · outbound

This paper cites Segment Anything.

Improving Personalized Image Generation through Social Context Feedback Segment Anything

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:31.162881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:31.162881Z digest=sha256:412a507353a71b6b226d8a8987996deb7e5a91ccb747e9d5a63d758ee870adc1

Observation cc3e9b05-16bd-4add-b72f-851b3766db29 · outbound

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

Improving Personalized Image Generation through Social Context Feedback Multi-concept customization of text-to-image diffusion

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:33.616944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:31.167203Z digest=sha256:c636365258fc6a96d0f704c79766b8bfe5095b74c3677c6640f215a2d1bd643a

Observation 77b19293-9a31-43dd-88a7-d005152cf65d · outbound

This paper cites Exploring conditional multi-modal prompts for zero-shot hoi detection.

Improving Personalized Image Generation through Social Context Feedback Exploring conditional multi-modal prompts for zero-shot hoi detection

Reference 13

Resolution
verified exact
doi, observed 2026-08-06T15:22:32.932701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:31.175621Z digest=sha256:84d41d69d99cc591f89bb0a9863caba6387729e02ad614fd4465b9e36a35f377

Observation 974c15a1-de13-4f68-9171-901784229470 · outbound

This paper cites an unresolved cited work.

Improving Personalized Image Generation through Social Context Feedback Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:22:33.604742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:31.362488Z digest=sha256:67e4c0d3517271da348ecd6c56dc5bfca199bfb3d4b524350b7414a93af76fed

Observation d2934cd0-a3d8-4328-a039-b09f380ca182 · outbound

This paper cites Focal loss for dense object detection.

Improving Personalized Image Generation through Social Context Feedback Focal loss for dense object detection

Reference 15

Resolution
malformed identifier
no resolver link, observed 2026-08-06T15:22:31.475135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:31.475135Z digest=sha256:5b37667fb2ecce90c722b4d5aa37938ac36566e6d6d8f84c59b4379be4245338

Observation d8be7ac8-d59e-44af-a3ed-33fa67fe8e6d · outbound

This paper cites Grounding dino: Mar- rying dino with grounded pre-training for open-set object detection.

Improving Personalized Image Generation through Social Context Feedback Grounding dino: Mar- rying dino with grounded pre-training for open-set object detection

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:33.593144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:31.643903Z digest=sha256:55445ff8037c1e111f3b40218694117c2a1628b9ee0329d1fb86b3e25c2f4f7f

Observation d3ccb11d-96ec-4250-859a-423f093792b1 · outbound

This paper cites Subject-diffusion: Open do- main personalized text-to-image generation without test-time fine-tuning.

Improving Personalized Image Generation through Social Context Feedback Subject-diffusion: Open do- main personalized text-to-image generation without test-time fine-tuning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:31.742087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:31.742087Z digest=sha256:101fcd68bea0981d8f3c6b949fdf885b4a659acb8c3f669127fb22a5b9fc17b8

Observation 413df68a-a5e8-49da-8106-a140e852678f · outbound

This paper cites spacy: Industrial-strength natural language processing in python, 2020.

Improving Personalized Image Generation through Social Context Feedback spacy: Industrial-strength natural language processing in python, 2020

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:31.897869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:31.897869Z digest=sha256:3932803ff831400c0b0f0d58624467903b0b4e56f9b5b24e1b02e83b1a685112

Observation 54be97df-7d45-47d6-a8ff-2abcbe06136f · outbound

This paper cites Boost- ing diffusion models with moving average sampling in frequency domain.

Improving Personalized Image Generation through Social Context Feedback Boost- ing diffusion models with moving average sampling in frequency domain

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:33.580605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:32.016811Z digest=sha256:79e4bbeb969a2d8784e8a671465173d8d0e3c6659f66d55cadfed75f7cb1d180

Observation b721414e-cb53-4545-be59-079441837256 · outbound

This paper cites Learning transferable visual models from natural lan- guage supervision.

Improving Personalized Image Generation through Social Context Feedback Learning transferable visual models from natural lan- guage supervision

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:33.567908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:32.120745Z digest=sha256:7f4d7142cec59fed69be22e80648df18b4dd20f811cda01d2415ba85bc24ebf5

Observation b4ddf6fe-04cd-4989-b2d1-cd1907893560 · outbound

This paper cites Where are they looking? In Advances in Neural Information Processing Systems (NIPS), 2015.

Improving Personalized Image Generation through Social Context Feedback Where are they looking? In Advances in Neural Information Processing Systems (NIPS), 2015

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:33.554561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:32.265282Z digest=sha256:1a49844ce055260a355dbc9c6584b4867dceaf869312c32285f623ae7a545490

Observation d641b511-e052-4245-91d7-0b65632261c7 · outbound

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

Improving Personalized Image Generation through Social Context Feedback Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:33.541074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:32.338026Z digest=sha256:14c575d592aed407ba587ca9ca7f0fe2745565951727c86aeb772b9acd7fa0f4

Observation 0a34ff4c-eff9-4127-80f7-f4ee7e67a865 · outbound

This paper cites Instantbooth: Personalized text- to-image generation without test-time finetuning.

Improving Personalized Image Generation through Social Context Feedback Instantbooth: Personalized text- to-image generation without test-time finetuning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:32.341891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:32.341891Z digest=sha256:7232381e2304b2b3027150dfc9627c52601c542ffadf296c782176b76f098057

Observation a2dbbaa5-da02-42f5-83ac-74f50be30d07 · outbound

This paper cites Sharingan: A transformer archi- tecture for multi-person gaze following.

Improving Personalized Image Generation through Social Context Feedback Sharingan: A transformer archi- tecture for multi-person gaze following

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:33.527837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:32.345374Z digest=sha256:3ab1f3a51cea787caf86a38e957523405d24a3c1b01763d3ddbbd68255e3634a

Observation bd18aaa2-1d41-4151-a5e4-a7e8c3a6e7f7 · outbound

This paper cites Textgaze: Gaze-controllable face generation with natural language.

Improving Personalized Image Generation through Social Context Feedback Textgaze: Gaze-controllable face generation with natural language

Reference 25

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T15:22:33.068001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:32.358697Z digest=sha256:66d168f394dbc6a81c3fa16473a430241adb18207257188f1b4ab0492e04c15d

Observation 6632bdb5-f29f-4e7a-9503-862b390f2c3f · outbound

This paper cites MS-diffusion: Multi-subject zero-shot image personalization with layout guidance.

Improving Personalized Image Generation through Social Context Feedback MS-diffusion: Multi-subject zero-shot image personalization with layout guidance

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:33.515686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:32.423441Z digest=sha256:4a384662d6ce3da71e7929482c1c971b1eac6f89a81f899446abe622a0102e69

Observation 02a6a90b-abb2-453b-86f7-90e293c952d7 · outbound

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

Improving Personalized Image Generation through Social Context Feedback Elite: Encoding visual concepts into textual embeddings for customized text-to-image generation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:33.503294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:32.472053Z digest=sha256:520cca54e6e7f7fa9a2cb9db7d67772f3fa92e811f6f10ba6bed0ea4c0452a99

Observation 18837f24-f081-4127-8112-ccac8b478eb1 · outbound

This paper cites Freeman, Frédo Durand, and Song Han.

Improving Personalized Image Generation through Social Context Feedback Freeman, Frédo Durand, and Song Han

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:33.488947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:32.553594Z digest=sha256:06ad6f5cb22ff6c4a19b4b5f5bee0afc68dae65b365fa5bcde0423332f4ef01e

Observation 94b8d928-7468-44fa-8b51-52feefd3863d · outbound

This paper cites Semantic-aware human object in- teraction image generation.

Improving Personalized Image Generation through Social Context Feedback Semantic-aware human object in- teraction image generation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:33.476580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:32.615879Z digest=sha256:0f8ef4d5033ecfbacce058e164e6dbd62eea40c73099215a33f2e2f8be33a168

Observation 1ae62dc0-1d25-4792-b552-52a430221736 · outbound

This paper cites X-pose: Detecting any keypoints.

Improving Personalized Image Generation through Social Context Feedback X-pose: Detecting any keypoints

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:33.463146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:32.669530Z digest=sha256:9766cf684a0dbdbb0aa1acc52281e5b73eade9ddbb792562b93d4f3e3fe7cfd7

Observation cba88a9a-687c-4829-8bcd-c29b78996ff6 · outbound

This paper cites URL https://doi.org/10.1007/ 978-3-031-72952-2_15.

Improving Personalized Image Generation through Social Context Feedback URL https://doi.org/10.1007/ 978-3-031-72952-2_15

Reference 31

Resolution
verified exact
doi, observed 2026-08-06T15:22:32.908705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:32.725264Z digest=sha256:ac311209d9111d35137512930020d62877310c7b854047ca9d38581cacd03251

Observation aacc5bf3-08f0-48fb-b284-bfec12e011b5 · outbound

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

Improving Personalized Image Generation through Social Context Feedback IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:32.786424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:32.786424Z digest=sha256:863cd2340b41ae8835ad369dcb7e8f9d70036300cc6884f606cb3bc128b99e5a

Observation f83918dd-865f-4cf1-81e2-fab0d648bf37 · outbound

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

Improving Personalized Image Generation through Social Context Feedback Ssr-encoder: Encoding selective subject representation for subject-driven generation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:33.451176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:32.845139Z digest=sha256:d9e1f810a77c5995a0e23fae1a95c7687516163ab742cebbbfba2e982aac7f22

Observation 7513dfa8-9c82-40df-b6db-bf85a039eb6a · outbound

This paper cites Unipc: a unified predictor-corrector framework for fast sampling of diffusion models.

Improving Personalized Image Generation through Social Context Feedback Unipc: a unified predictor-corrector framework for fast sampling of diffusion models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:33.438480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:22:32.874746Z digest=sha256:760fffdab71a25837da952ef2f9af8ae57c5eeb3b71df068b92a0a0a434325a9

Pith citing papers

No inbound Pith citation observations are available.