Paper Citation Record · LEDGER

Investigating Prompt Engineering in Diffusion Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2211.15462.

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

pith.paper-citation-record.v1
2211.15462 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:14:24.638092Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-10T23:57:09.140459Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c5ff5d13-ecb0-4c17-8208-5ea4ab36e628 · inbound

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

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models Investigating Prompt Engineering in Diffusion Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:57:09.143297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 134a9c24-c024-40f4-8b7b-bf26fec94ed2 · inbound

Stylecodes: Encoding Stylistic Information For Image Generation cites this paper.

Stylecodes: Encoding Stylistic Information For Image Generation Investigating Prompt Engineering in Diffusion Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T17:14:24.638092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 706d41fe-8f25-4a42-9736-5b0e03171bec · inbound

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis cites this paper.

CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis Investigating Prompt Engineering in Diffusion Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T13:32:27.724590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e24bd065-4a3a-40b3-a0b7-f3fb9599204a · inbound

Reward Incremental Learning in Text-to-Image Generation cites this paper.

Reward Incremental Learning in Text-to-Image Generation Investigating Prompt Engineering in Diffusion Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T12:22:17.933808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 386e4eb0-ce3a-4e38-9ec9-68c1cb288040 · inbound

Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation cites this paper.

Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation Investigating Prompt Engineering in Diffusion Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T11:23:38.935021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d957a185-b34e-4d60-a271-a07aa32d33c2 · inbound

ReNeg: Learning Negative Embedding with Reward Guidance cites this paper.

ReNeg: Learning Negative Embedding with Reward Guidance Investigating Prompt Engineering in Diffusion Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T00:13:43.647701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9b2ed42-302f-42aa-8570-66ae28118dd6 · inbound

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers cites this paper.

RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Investigating Prompt Engineering in Diffusion Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:29.533343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f25f0715-04c9-402d-a76c-64563532367d · inbound

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection cites this paper.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection Investigating Prompt Engineering in Diffusion Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:06.705475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.