Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:51:41.274853Z
Paper Citation Record · LEDGER
Distribution-Conditional Generation: From Class Distribution to Creative Generation
As of 16 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 2 inbound Pith citation observations for arXiv:2505.03667.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T12:23:30.122689Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T19:53:42.566031Z
Reference resolution
48 of 48 outbound references displayed
- verified exact3
- verified fuzzy38
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e0d21cf5-056c-4130-930a-13b1b38fb9f7 · outbound
This paper cites GPT-4 Technical Report.
Distribution-Conditional Generation: From Class Distribution to Creative Generation GPT-4 Technical Report
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:51:41.068249Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6fdc34de-c08c-48cc-9f21-e17934d5cdcc · outbound
This paper cites Prompting for discovery: Flexible sense-making for ai art-making with dreamsheets.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Prompting for discovery: Flexible sense-making for ai art-making with dreamsheets
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.992424Z
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.
Observation c05826f2-4ace-4d33-a29f-578a7a487b20 · outbound
This paper cites Flux: Diffusion models for layered image generation.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Flux: Diffusion models for layered image generation
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.978033Z
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.
Observation e718ed7c-b36e-458c-a81e-cb7a673c4e73 · outbound
This paper cites Artadapter: Text-to-image style transfer using multi-level style encoder and explicit adaptation.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Artadapter: Text-to-image style transfer using multi-level style encoder and explicit adaptation
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.963858Z
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.
Observation 055f471d-0b6f-44e0-9331-ca3e16df1238 · outbound
This paper cites Tailored visions: Enhancing text-to-image generation with personalized prompt rewriting.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Tailored visions: Enhancing text-to-image generation with personalized prompt rewriting
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.949721Z
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.
Observation d6a3cbca-4bcd-4bf0-b7a2-c17c54bd566b · outbound
This paper cites IP-Composer: Semantic Composition of Visual Concepts.
Distribution-Conditional Generation: From Class Distribution to Creative Generation IP-Composer: Semantic Composition of Visual Concepts
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T23:51:41.440955Z
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.
Observation 2bed09c7-ce40-4a01-97fa-f270c5fb14ff · outbound
This paper cites Scaling rectified flow trans- formers for high-resolution image synthesis.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Scaling rectified flow trans- formers for high-resolution image synthesis
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.934717Z
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.
Observation 1866b2f9-bd7f-435e-9c8c-5b644bf2b19b · outbound
This paper cites Genes in Intelligent Agents.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Genes in Intelligent Agents
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:51:41.100634Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22721dde-4d86-43f1-908e-9db7552f5a87 · outbound
This paper cites Redefining <creative> in dictionary: Towards an enhanced semantic understanding of creative generation.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Redefining <creative> in dictionary: Towards an enhanced semantic understanding of creative generation
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.920662Z
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.
Observation b80df57e-7d7d-4b7c-be3a-806242696b76 · outbound
This paper cites An image is worth one word: Personalizing text-to-image generation using textual inversion.
Distribution-Conditional Generation: From Class Distribution to Creative Generation An image is worth one word: Personalizing text-to-image generation using textual inversion
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.906728Z
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.
Observation 005c66e7-bdef-46c9-9eb0-1d52c09d5b4d · outbound
This paper cites Enhancing creative generation on stable diffusion-based models.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Enhancing creative generation on stable diffusion-based models
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.893542Z
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.
Observation 2cc65eb6-967c-43fa-91ea-363052201d3d · outbound
This paper cites Svdiff: Compact parameter space for diffusion fine-tuning.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Svdiff: Compact parameter space for diffusion fine-tuning
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.880263Z
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.
Observation 54e0d812-120e-4332-9dea-1899101683f5 · outbound
This paper cites One more step: A versatile plug-and-play module for rectifying diffusion schedule flaws and enhancing low-frequency controls.
Distribution-Conditional Generation: From Class Distribution to Creative Generation One more step: A versatile plug-and-play module for rectifying diffusion schedule flaws and enhancing low-frequency controls
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.866343Z
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.
Observation 59b22f2c-143d-4077-9ec1-4a9680588ae7 · outbound
This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Pick-a-pic: An open dataset of user preferences for text-to-image generation
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.852602Z
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.
Observation ba60ca84-4b65-4804-a7e5-b9619f470468 · outbound
This paper cites Multi- concept customization of text-to-image diffusion.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Multi- concept customization of text-to-image diffusion
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.838908Z
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.
Observation 5cbe45fa-5d10-4b31-9441-6836f82e2616 · outbound
This paper cites A path towards autonomous machine intelligence.
Distribution-Conditional Generation: From Class Distribution to Creative Generation A path towards autonomous machine intelligence
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.825165Z
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.
Observation ad2268a7-c297-4edc-9c0d-13614f3792e2 · outbound
This paper cites Tp2o: Creative text pair-to-object generation using balance swap-sampling.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Tp2o: Creative text pair-to-object generation using balance swap-sampling
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.811686Z
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.
Observation 729ae71f-bc5e-4254-ba8c-e78d6ed0be38 · outbound
This paper cites MagicMix: Semantic Mixing with Diffusion Models.
Distribution-Conditional Generation: From Class Distribution to Creative Generation MagicMix: Semantic Mixing with Diffusion Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:51:41.142748Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd490341-fb14-46c8-89b6-7a2f867e09ed · outbound
This paper cites Evaluating text-to-visual generation with image-to-text generation.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Evaluating text-to-visual generation with image-to-text generation
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.797500Z
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.
Observation 0e9b4d5b-eff7-464f-b608-3fc8eaa6d475 · outbound
This paper cites Procreate, don’t reproduce! propulsive energy diffusion for creative generation.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Procreate, don’t reproduce! propulsive energy diffusion for creative generation
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.781926Z
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.
Observation 63443cfd-3ed4-4e6f-a913-b33477e7b498 · outbound
This paper cites Towards machine learning as an enabler of computational creativity.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Towards machine learning as an enabler of computational creativity
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.766854Z
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.
Observation 63d4973b-e45d-4f9e-bcd4-f2554ed4439b · outbound
This paper cites Art, creativity, and the potential of artificial intelligence.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Art, creativity, and the potential of artificial intelligence
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.751723Z
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.
Observation 4abf15ea-956d-4fe6-80a0-f90e44c7b342 · outbound
This paper cites Midjourney.com.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Midjourney.com
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.736953Z
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.
Observation 2dce0f8d-8fa0-48f4-94ff-a0913f93bc82 · outbound
This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.
Distribution-Conditional Generation: From Class Distribution to Creative Generation T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.723463Z
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.
Observation a59f1c13-b4f9-47c6-af50-03547e157d95 · outbound
This paper cites Chirpy3D: Part-Aware Multi-View Diffusion for Creative Fine-Grained Object Generation.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Chirpy3D: Part-Aware Multi-View Diffusion for Creative Fine-Grained Object Generation
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T23:51:41.393570Z
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.
Observation 25701549-5072-4935-88fa-daf4461f292f · outbound
This paper cites Partcraft: Crafting creative objects by parts.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Partcraft: Crafting creative objects by parts
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.709133Z
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.
Observation 9363868f-597d-4fbe-8e61-9be05af046aa · outbound
This paper cites Gpt-4: Openai language model.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Gpt-4: Openai language model
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.695541Z
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.
Observation 1ac6b422-33f0-430b-bc44-2e4dbbe4b50b · outbound
This paper cites Prompting ai art: An investiga- tion into the creative skill of prompt engineering.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Prompting ai art: An investiga- tion into the creative skill of prompt engineering
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.681652Z
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.
Observation 84b1b782-f3aa-4ea4-884d-0be504269d56 · outbound
This paper cites Portraitbooth: A versatile portrait model for fast identity-preserved personalization.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Portraitbooth: A versatile portrait model for fast identity-preserved personalization
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.667968Z
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.
Observation 37e12223-5c36-49dc-be7e-c7d3fc21a92b · outbound
This paper cites Learning transferable visual models from natural language supervision.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Learning transferable visual models from natural language supervision
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.654151Z
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.
Observation 7c392bb2-0725-4233-ba9a-031db24e6d70 · outbound
This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:51:41.201804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64bb7cb8-e117-4e5d-bfe1-ee4006dd7f42 · outbound
This paper cites Kandinsky: An improved text-to-image synthesis with image prior and latent diffusion.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Kandinsky: An improved text-to-image synthesis with image prior and latent diffusion
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.640526Z
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.
Observation e69bbced-4484-4ef8-8dd8-0aab8ba95c36 · outbound
This paper cites Conceptlab: Creative concept generation using vlm-guided diffusion prior constraints.ACM Transactions on Graphics, 43(3):1–14, 2024.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Conceptlab: Creative concept generation using vlm-guided diffusion prior constraints.ACM Transactions on Graphics, 43(3):1–14, 2024
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.626623Z
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.
Observation 5de82470-da64-4edc-a575-47d3eab7b66f · outbound
This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.612973Z
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.
Observation b8f4a088-9da6-437a-b34d-62c14a48e23e · outbound
This paper cites Hyperdreambooth: Hypernetworks for fast personaliza- tion of text-to-image models.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Hyperdreambooth: Hypernetworks for fast personaliza- tion of text-to-image models
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.599568Z
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.
Observation 024161af-d3c3-4bc9-8048-f8b7795984e1 · outbound
This paper cites Stable diffusion 3.5.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Stable diffusion 3.5
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.585335Z
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.
Observation b0cdaad4-f70f-495c-b5f1-0536ac69c929 · outbound
This paper cites Multimodal large language models make text-to-image generative models align better.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Multimodal large language models make text-to-image generative models align better
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.571199Z
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.
Observation 9d5c4187-380c-45ca-9cd7-d2117b9a4569 · outbound
This paper cites Novel Object Synthesis via Adaptive Text-Image Harmony.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Novel Object Synthesis via Adaptive Text-Image Harmony
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T23:51:41.360154Z
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.
Observation aec47730-e747-4c73-844d-cad9b97e3e56 · outbound
This paper cites Imagereward: Learning and evaluating human preferences for text-to-image generation.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Imagereward: Learning and evaluating human preferences for text-to-image generation
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.556482Z
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.
Observation 8b4f3ecc-d3ff-424a-ad20-9d590df43cc0 · outbound
This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.
Distribution-Conditional Generation: From Class Distribution to Creative Generation IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:51:41.239026Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c588d2b-ef5d-4296-9384-6ae1817fb8b2 · outbound
This paper cites Few-shot learner parameterization by diffusion time-steps.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Few-shot learner parameterization by diffusion time-steps
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.541366Z
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.
Observation 54f5d36e-64b2-4985-a554-68d9cef58abe · outbound
This paper cites Diffmorpher: Unleashing the capability of diffusion models for image morphing.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Diffmorpher: Unleashing the capability of diffusion models for image morphing
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.526406Z
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.
Observation 38e621ad-d5cc-44e9-a38b-3faf97137ca1 · outbound
This paper cites Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:51:41.252141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b554452-5eaf-4420-b348-5ac66849495c · outbound
This paper cites Multi-LoRA Composition for Image Generation.
Distribution-Conditional Generation: From Class Distribution to Creative Generation Multi-LoRA Composition for Image Generation
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:51:41.256703Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4e9fe79-6c4f-462a-a5fe-0d474dff3e6c · outbound
This paper cites A high score signifies that the elements are intricately merged, creating a new, unified entity.
Distribution-Conditional Generation: From Class Distribution to Creative Generation A high score signifies that the elements are intricately merged, creating a new, unified entity
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.512571Z
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.
Observation f47cc152-ce8b-4117-8e70-b5b67d12344f · outbound
This paper cites The image should refrain from including irrelevant elements that detract from the primary concepts.
Distribution-Conditional Generation: From Class Distribution to Creative Generation The image should refrain from including irrelevant elements that detract from the primary concepts
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.498665Z
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.
Observation 7d549199-6933-431d-9c7b-4955b0d8f0ff · outbound
This paper cites The depicted concept should not mimic existing animals, plants, or widely recognized mythical creatures unless specifically mentioned in the prompt.
Distribution-Conditional Generation: From Class Distribution to Creative Generation The depicted concept should not mimic existing animals, plants, or widely recognized mythical creatures unless specifically mentioned in the prompt
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.483952Z
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.
Observation 81f47eef-529a-4b24-b96b-7b27aed84ce7 · outbound
This paper cites A high score is awarded when the image is not only conceptually robust but also visually engaging.
Distribution-Conditional Generation: From Class Distribution to Creative Generation A high score is awarded when the image is not only conceptually robust but also visually engaging
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:51:41.470031Z
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.
Pith citing papers
Observation 73f6d013-da17-44b3-b606-ebca06e4f2d6 · inbound
Muses: Designing, Composing, Generating Nonexistent Fantasy 3D Creatures without Training cites this paper.
Muses: Designing, Composing, Generating Nonexistent Fantasy 3D Creatures without Training Distribution-Conditional Generation: From Class Distribution to Creative Generation
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T12:23:30.122689Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb189708-b6fc-47b9-b4dd-e0d4be2cc420 · inbound
Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning cites this paper.
Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning Distribution-Conditional Generation: From Class Distribution to Creative Generation
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