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Paper Citation Record · LEDGER

Learning Multi-dimensional Human Preference for Text-to-Image Generation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.14705.

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

pith.paper-citation-record.v1
2405.14705 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:30:30.721052Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:07:27.912429Z

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 9e6a89ab-7a6c-4720-9514-279507aafc5a · inbound

ImageReFL: Balancing Quality and Diversity in Human-Aligned Diffusion Models cites this paper.

ImageReFL: Balancing Quality and Diversity in Human-Aligned Diffusion Models Learning Multi-dimensional Human Preference for Text-to-Image Generation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T13:09:42.325218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:09:42.325218Z digest=sha256:e8120c2744055d8f5ebbeedae1ba81fb96c8e24f49f5d9a4a3e1b9aa4cd5cb8c

Observation b5ab8a8b-c5e8-425e-a35e-0be8b40ec6e4 · inbound

Position: Universal Aesthetic Alignment Narrows Artistic Expression cites this paper.

Position: Universal Aesthetic Alignment Narrows Artistic Expression Learning Multi-dimensional Human Preference for Text-to-Image Generation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:48:45.944712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-17T00:46:09.546420Z digest=sha256:eb899bd833540496b069837324595cab2fbf32aef0f2d2c9368eccfef0b184de

Observation 2db7b864-e4a2-4ca6-9f4c-5199a3680e8e · inbound

Z-Reward: Beyond Scalar Rewards by Internalizing Reasoning into Score Distributions cites this paper.

Z-Reward: Beyond Scalar Rewards by Internalizing Reasoning into Score Distributions Learning Multi-dimensional Human Preference for Text-to-Image Generation

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:07:27.914199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T17:30:57.001021Z digest=sha256:0352c6c0b67be76eedd9be41ff69b0c534be8e44d25de0ce132d5219a0b3451a

Observation dac49f4d-1bc7-4185-8462-3a17d1e932fc · inbound

Z-Reward: Beyond Scalar Rewards by Internalizing Reasoning into Score Distributions cites this paper.

Z-Reward: Beyond Scalar Rewards by Internalizing Reasoning into Score Distributions Learning Multi-dimensional Human Preference for Text-to-Image Generation

Reference 66

Resolution
unresolved
no resolver link, observed 2026-07-15T10:53:37.186361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T10:53:37.186361Z digest=sha256:b31b5c29ddb7bfbadd98c73ca9368983aaf42de95f8311d7516f534f7a87cf73

Observation 75627252-bbce-456b-971a-37e71d79e2ad · inbound

Sample-Adaptive Latent Rewards for Uncertainty-Guided Diffusion Post-Training cites this paper.

Sample-Adaptive Latent Rewards for Uncertainty-Guided Diffusion Post-Training Learning Multi-dimensional Human Preference for Text-to-Image Generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T14:30:30.721052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:30:30.721052Z digest=sha256:2a9c0c37f62e8fec16588b2402659ae9e12e4c42cd5ceafe4508c076b39293e8