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Paper Citation Record · LEDGER

Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.14859.

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

pith.paper-citation-record.v1
2309.14859 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:43:45.391712Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T22:26:21.561543Z

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 77207682-f853-4976-93d1-317f382e7f51 · inbound

DoRA: Weight-Decomposed Low-Rank Adaptation cites this paper.

DoRA: Weight-Decomposed Low-Rank Adaptation Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation

Reference 115

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:26:21.565047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:c4ccbbbde0a3cd31e944503f6b0625e6e9da22169c8c734602f5c0c85f5dc8d0

Observation 1aeea808-5bf2-4bac-8b32-24960708afc9 · inbound

Can Smaller LLMs do better? Unlocking Cross-Domain Potential through Parameter-Efficient Fine-Tuning for Text Summarization cites this paper.

Can Smaller LLMs do better? Unlocking Cross-Domain Potential through Parameter-Efficient Fine-Tuning for Text Summarization Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:45.391712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:43:45.391712Z digest=sha256:956230d96289d79ae001eb2e5fdb559ad343bfa57903c29ad7994852cf1395a3