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Paper Citation Record · LEDGER

M2-Encoder: Advancing Bilingual Image-Text Understanding by Large-scale Efficient Pretraining

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.15896.

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

pith.paper-citation-record.v1
2401.15896 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:12:36.237485Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T14:16:06.977958Z

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 9e0b1b62-817f-4084-90a5-43d6be4a29fc · inbound

LR0.FM: Low-Res Benchmark and Improving Robustness for Zero-Shot Classification in Foundation Models cites this paper.

LR0.FM: Low-Res Benchmark and Improving Robustness for Zero-Shot Classification in Foundation Models M2-Encoder: Advancing Bilingual Image-Text Understanding by Large-scale Efficient Pretraining

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T00:12:36.237485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:12:36.237485Z digest=sha256:fe00da073317b62ff55656e55e1cafc66ee3e7142ed8740a2228e677c88d985e

Observation bc0068a8-ea5c-4ad5-a898-504743919152 · inbound

From Codebooks to VLMs: Evaluating Automated Visual Discourse Analysis for Climate Change on Social Media cites this paper.

From Codebooks to VLMs: Evaluating Automated Visual Discourse Analysis for Climate Change on Social Media M2-Encoder: Advancing Bilingual Image-Text Understanding by Large-scale Efficient Pretraining

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:16:06.988351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-09T22:55:33.247678Z digest=sha256:d8e1f47be092f6cc3e58bd1d168564ff1862bfee36575a71a9804ef6611ac5bf