Paper Citation Record · LEDGER

Improved baselines for vision-language pre-training

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.08675.

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

pith.paper-citation-record.v1
2305.08675 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:17:22.515438Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:58:16.333412Z

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 bf53a0a5-6d35-4b63-9e11-ce2d0c64349b · inbound

Multimodal Autoregressive Pre-training of Large Vision Encoders cites this paper.

Multimodal Autoregressive Pre-training of Large Vision Encoders Improved baselines for vision-language pre-training

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T15:17:22.515438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d6152d3-944f-4766-ba2c-87ff0c6d2b23 · inbound

ResCLIP: Residual Attention for Training-free Dense Vision-language Inference cites this paper.

ResCLIP: Residual Attention for Training-free Dense Vision-language Inference Improved baselines for vision-language pre-training

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T13:53:32.887371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 048aaf41-1698-41c2-aa7e-09ab37edfb3e · inbound

HyperCLIP: Adapting Vision-Language models with Hypernetworks cites this paper.

HyperCLIP: Adapting Vision-Language models with Hypernetworks Improved baselines for vision-language pre-training

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T10:19:24.021583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69cdd656-8c2b-477e-a295-e79ba726b29a · inbound

TAPS : Frustratingly Simple Test Time Active Learning for VLMs cites this paper.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Improved baselines for vision-language pre-training

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:58:16.459417Z

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.