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Paper Citation Record · LEDGER

LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.00737.

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

pith.paper-citation-record.v1
2407.00737 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:31:56.530948Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T01:35:19.434117Z

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 2770a15b-9161-4cdb-99e3-72a92a1136d2 · inbound

Future Research Avenues for Artificial Intelligence in Digital Gaming: An Exploratory Report cites this paper.

Future Research Avenues for Artificial Intelligence in Digital Gaming: An Exploratory Report LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation

Reference 120

Resolution
unresolved
no resolver link, observed 2026-08-11T12:31:56.530948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:31:56.530948Z digest=sha256:b6f959c09c68ae7da4e1153a2408777642004e08e779ca02f3658e6b175eb518

Observation 6750fe47-0303-42bc-9b69-7406b385724d · inbound

RectifiedHR: Enable Efficient High-Resolution Synthesis via Energy Rectification cites this paper.

RectifiedHR: Enable Efficient High-Resolution Synthesis via Energy Rectification LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:35:19.438148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-23T01:33:49.962427Z digest=sha256:e770a31a7d422a31f29435ab2a90e697cc70116165f7706de1cf599bf83f7dcc

Observation 7e1c098a-d8a7-4da8-b075-f87bedb09b00 · inbound

ELiTeFormer: An Efficient Transformer for FPGAs cites this paper.

ELiTeFormer: An Efficient Transformer for FPGAs LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-12T00:55:09.690245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T00:55:09.690245Z digest=sha256:d7597146a666bfd3cf3dbca9848be741dde5e4e7cb9addfe3aafc02d6cdf5843