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Paper Citation Record · LEDGER

Optimizing Prompts for Text-to-Image Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:03:37.951089Z

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T00:46:56.664582Z digest=sha256:33284e932cb8c47b63dad152013c53d0996c6f558f4ac06044e635930001f167

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T09:11:32.018262Z digest=sha256:493e0a70c71afe0fa71ddbbd79c0aa846a6279dccd7780e117de1a8791f32bae

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.

source=arxiv_source observed=2026-08-07T15:03:37.951089Z digest=sha256:9e61a02da3afe526798bc240d7e78602399397a2965a4c1604649598e2e8241c

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.

source=pdf_text observed=2026-08-07T10:45:31.526503Z digest=sha256:e0a93c1cf150eb661816a4ec633d8d15a1b89c66236c9c3c7752adb14a9fddea

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.

source=pdf_text observed=2026-08-06T20:14:47.889220Z digest=sha256:78f3a4a8a133b16f650550360450d6702bcd8ec3d7c30cbc0492ce895e7dd0ff

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-11T01:04:26.288913Z digest=sha256:60ffa2ba73a648649a5b31ea29b1f9c3693862a1a039c9adfa36ef355212c36b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T22:02:18.035999Z digest=sha256:a7e5abe988ea7d3e4111f85c438ffdea4c154770c889bee7e0e9b47436f1ead6

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.

source=arxiv_source observed=2026-07-11T13:53:36.775836Z digest=sha256:06d035cdb73078d89a21f39e2509826155c7a543e9a8b90440c7c7723590e614

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.

source=arxiv_source observed=2026-08-02T08:40:52.084480Z digest=sha256:23945b1f8077e7592ba98d655638d351bd34cd84afcd8b69aa20446c2464f12a

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.

source=pdf_text observed=2026-07-30T21:02:13.378448Z digest=sha256:721898b09c06fc67932849ff6b32f1e66a017e0973314a0e7594583936c1e9c8