Paper Citation Record · LEDGER

Lyrics: Boosting Fine-grained Language-Vision Alignment and Comprehension via Semantic-aware Visual Objects

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.05278.

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

pith.paper-citation-record.v1
2312.05278 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 2026-08-07T12:50:47.074049Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T11:10:02.368241Z

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 00026dee-e404-40f1-8214-4e932b35e34c · inbound

VModA: An Effective Framework for Adaptive NSFW Image Moderation cites this paper.

VModA: An Effective Framework for Adaptive NSFW Image Moderation Lyrics: Boosting Fine-grained Language-Vision Alignment and Comprehension via Semantic-aware Visual Objects

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T12:50:47.074049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec4507db-6f9d-4bfd-9647-eec124ec6c8b · inbound

DFLOP: A Data-driven Framework for Multimodal LLM Training Pipeline Optimization cites this paper.

DFLOP: A Data-driven Framework for Multimodal LLM Training Pipeline Optimization Lyrics: Boosting Fine-grained Language-Vision Alignment and Comprehension via Semantic-aware Visual Objects

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:10:02.370223Z

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.