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Paper Citation Record · LEDGER

Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.00860.

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

pith.paper-citation-record.v1
2404.00860 v1

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 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:20:50.420736Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:21:08.928484Z

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 88ec0e73-bd95-431d-a321-6e28259d4147 · inbound

Generalizing vision-language models to novel domains: A comprehensive survey cites this paper.

Generalizing vision-language models to novel domains: A comprehensive survey Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance

Reference 140

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:21:08.984763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T23:20:50.420736Z digest=sha256:922f12702b5e496bea76a992948e0ad4968e5531526f5a06009f6fc8eb919970

Observation 78d1a768-8889-455d-806f-1375a0ee2f6e · inbound

Model soups need only one ingredient cites this paper.

Model soups need only one ingredient Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T02:51:56.097742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:51:56.097742Z digest=sha256:b2c1f8d1c8548b7b99ec4f0b7951e2f5f9dad3af9f078db238aa5f562338f635

Observation a7f95b73-4018-405d-a31c-7f99c90a02f0 · inbound

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs cites this paper.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:22.358689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:40:22.358689Z digest=sha256:6f3aa07e553a3210ff55e9b9a130f5aba55041a4c36b3854f91942a83e572724