Paper Citation Record · LEDGER

Improving fine-grained understanding in image-text pre-training

As of 3 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.09865.

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

pith.paper-citation-record.v1
2401.09865 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T22:25:57.884381Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 61d1197a-075e-4d58-852b-429f3ce781c9 · inbound

Attention Grounded Enhancement for Visual Document Retrieval cites this paper.

Attention Grounded Enhancement for Visual Document Retrieval Improving fine-grained understanding in image-text pre-training

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:55:15.304921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation bc6b390b-0fa7-4974-ba07-ac700ebf8f6d · inbound

Xray-Visual Models: Scaling Vision models on Industry Scale Data cites this paper.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Improving fine-grained understanding in image-text pre-training

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:57.884381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eb1d7db-baf2-4eef-8c1a-9a3f303c495e · inbound

All in One: A Unified Synthetic Data Pipeline for Multimodal Video Understanding cites this paper.

All in One: A Unified Synthetic Data Pipeline for Multimodal Video Understanding Improving fine-grained understanding in image-text pre-training

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:31:03.805393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5f5feb4e-38ea-4f69-92a4-f072077772b6 · inbound

Compared to What? Baselines and Metrics for Counterfactual Prompting cites this paper.

Compared to What? Baselines and Metrics for Counterfactual Prompting Improving fine-grained understanding in image-text pre-training

Reference 92

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T19:05:10.550927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation eac0458d-bad5-49f5-9cdd-f0cc0579e1a3 · inbound

Improving CLIP Adaptation by Breaking Tail Alignment for Source-Free Cross-Domain Few-Shot Learning cites this paper.

Improving CLIP Adaptation by Breaking Tail Alignment for Source-Free Cross-Domain Few-Shot Learning Improving fine-grained understanding in image-text pre-training

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:23:15.566401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.