Paper Citation Record · LEDGER

Optimizing Prompts for Text-to-Image Generation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2212.09611.

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

pith.paper-citation-record.v1
2212.09611 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:29:12.116193Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:39:03.377522Z

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 96dfda78-b2f7-4886-aadc-0a50101dfd64 · inbound

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment cites this paper.

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment Optimizing Prompts for Text-to-Image Generation

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:46:56.788396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5b3915d3-4cb2-43df-a974-e463f5db488c · inbound

Directly Fine-Tuning Diffusion Models on Differentiable Rewards cites this paper.

Directly Fine-Tuning Diffusion Models on Differentiable Rewards Optimizing Prompts for Text-to-Image Generation

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T09:11:32.083105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8c78c11f-a17a-4084-bb14-1053003b7e95 · inbound

Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning cites this paper.

Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning Optimizing Prompts for Text-to-Image Generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T14:29:12.116193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80ce3f2d-e36e-4972-a64b-0bee5c49a276 · inbound

$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion cites this paper.

$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Optimizing Prompts for Text-to-Image Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:37.951089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b23f29e0-2ff7-4ce0-97bd-cb5b825ae593 · inbound

Seamless and Efficient Interactions within a Mixed-Dimensional Information Space cites this paper.

Seamless and Efficient Interactions within a Mixed-Dimensional Information Space Optimizing Prompts for Text-to-Image Generation

Reference 279

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:31.526503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db85158f-9fa5-4dad-8fbf-2fcf5b7a7894 · inbound

Prompt Engineering Guidelines for Using Large Language Models in Requirements Engineering cites this paper.

Prompt Engineering Guidelines for Using Large Language Models in Requirements Engineering Optimizing Prompts for Text-to-Image Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:14:47.889220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff06fb86-9fb0-462a-af86-982deee7e429 · inbound

Response Time Enhances Alignment with Heterogeneous Preferences cites this paper.

Response Time Enhances Alignment with Heterogeneous Preferences Optimizing Prompts for Text-to-Image Generation

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:46:00.090872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 24f2a2c4-5a43-4f66-b78f-ea013ef44a45 · inbound

Bridging Creative Intent and Visual Quality: Creator-Driven Recurrent Video Generation with Agentic Feedback Loops cites this paper.

Bridging Creative Intent and Visual Quality: Creator-Driven Recurrent Video Generation with Agentic Feedback Loops Optimizing Prompts for Text-to-Image Generation

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T23:39:03.379854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bbc79b8e-d78a-40f8-88a9-57e9910a2c6e · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay Optimizing Prompts for Text-to-Image Generation

Reference 172

Resolution: unresolved; no resolver link, observed 2026-07-11T13:53:36.775836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed642443-af5a-415a-8001-bbc48f00dce7 · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay Optimizing Prompts for Text-to-Image Generation

Reference 173

Resolution: unresolved; no resolver link, observed 2026-08-02T08:40:52.084480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8275118-1efe-4785-831e-a0cf0f5a9e5f · inbound

Learning Sampling Parameters for Diffusion Models cites this paper.

Learning Sampling Parameters for Diffusion Models Optimizing Prompts for Text-to-Image Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-30T21:02:13.378448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.