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Paper Citation Record · LEDGER

Countering Language Drift via Visual Grounding

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1909.04499.

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

pith.paper-citation-record.v1
1909.04499 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 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:17:29.536519Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T21:56:08.123335Z

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 c074c173-18ef-450d-b47e-ab1dab3e744d · inbound

MyTimeMachine: Personalized Facial Age Transformation cites this paper.

MyTimeMachine: Personalized Facial Age Transformation Countering Language Drift via Visual Grounding

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T15:17:29.536519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:17:29.536519Z digest=sha256:24b336256f958395f4af367b4fd191384bd1eaeaa9cbd254ea26438330598efc

Observation 50fc3447-b174-461c-99c3-511321c1afd3 · inbound

DreamBlend: Advancing Personalized Fine-tuning of Text-to-Image Diffusion Models cites this paper.

DreamBlend: Advancing Personalized Fine-tuning of Text-to-Image Diffusion Models Countering Language Drift via Visual Grounding

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T10:17:11.775899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:17:11.775899Z digest=sha256:318ea481d5312444eaea94e7040c9f48ca11e1645f1de7fb82477c09e685b703

Observation 14e339c8-fa07-4b9d-95c9-130deb36e274 · inbound

SceneBooth: Diffusion-based Framework for Subject-preserved Text-to-Image Generation cites this paper.

SceneBooth: Diffusion-based Framework for Subject-preserved Text-to-Image Generation Countering Language Drift via Visual Grounding

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:56:08.130646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:56:07.696770Z digest=sha256:5c8188e2aa24b4468fc85d7b63962f80d4a7cc9f99bc2408fdca553ac4653bac