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Paper Citation Record · LEDGER

Synth$^2$: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.07750.

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

pith.paper-citation-record.v1
2403.07750 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:21:38.283921Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:24:55.402733Z

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 9f099f6a-0515-4613-a439-f37cb91ae3c0 · inbound

Vision-Language Model Dialog Games for Self-Improvement cites this paper.

Vision-Language Model Dialog Games for Self-Improvement Synth$^2$: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T11:21:38.283921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:21:38.283921Z digest=sha256:e39116d560fa252135fd6d729effc5c2e4340d235f97a1f550beb1509792d148

Observation d002c5df-03fe-4763-a28f-23eee2621d6b · inbound

Advancing Multimodal LLMs by Large-Scale 3D Visual Instruction Dataset Generation cites this paper.

Advancing Multimodal LLMs by Large-Scale 3D Visual Instruction Dataset Generation Synth$^2$: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:24:55.438877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:24:53.424779Z digest=sha256:08a22f33ce41fa440ad59d82d8c28392da0d5ce924c1411941d4b9b0ca40e30d