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Paper Citation Record · LEDGER

WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2103.06561.

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

pith.paper-citation-record.v1
2103.06561 v6

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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:41:22.706885Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T03:21:19.131815Z

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 6f3319e5-8c7f-40b5-b4fa-daefab66bc62 · inbound

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges cites this paper.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training

Reference 295

Resolution
unresolved
no resolver link, observed 2026-08-11T22:41:22.706885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:41:22.706885Z digest=sha256:5cadd3eb072bdbc72fc883b7bede326693115c454ca6bc762e01e99b888b6961

Observation ad48293e-7269-4dea-b663-5e103da3bdea · inbound

LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation cites this paper.

LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T18:48:31.198006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:31.198006Z digest=sha256:569f913dcd58af02f3d78af19510571d67abadaed67891aa7f26febe2c7cf192

Observation cbc9bf25-acce-46a7-9ebe-a687392a4f4d · inbound

Learning Invariant Modality Representation for Robust Multimodal Learning from a Causal Inference Perspective cites this paper.

Learning Invariant Modality Representation for Robust Multimodal Learning from a Causal Inference Perspective WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training

Reference 137

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:51:03.247313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-10T04:32:29.428080Z digest=sha256:38627c3fc86988933fae5dec0290360f36567186a3ca872f72838b4a55a41b0e

Observation b24e32b8-a468-4bde-a4fd-2b533aae2a3c · inbound

MPerS: Dynamic MLLM MixExperts Perception-Guided Remote Sensing Scene Segmentation cites this paper.

MPerS: Dynamic MLLM MixExperts Perception-Guided Remote Sensing Scene Segmentation WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:21:19.133866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-12T03:17:06.383426Z digest=sha256:27ec18244e40dbc28aa64941eaf2bbc6fc90d9689dadb12f18676d9a0917997f