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Paper Citation Record · LEDGER

NLVR2 Visual Bias Analysis

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1909.10411.

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

pith.paper-citation-record.v1
1909.10411 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:05:19.537088Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T10:14:26.572008Z

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 072f0cd2-45ba-4135-88d6-0ead62ec9e8c · inbound

Evaluating MLLMs with Multimodal Multi-image Reasoning Benchmark cites this paper.

Evaluating MLLMs with Multimodal Multi-image Reasoning Benchmark NLVR2 Visual Bias Analysis

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T11:05:19.537088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:19.537088Z digest=sha256:323106a7dbe63552a4008dda6da8448d620e227f0d688d3bf6c5e6dfcbaf1dff

Observation 7482c423-93bf-4643-bbc4-1e277a0f76ca · inbound

LaCo: Efficient Layer-wise Compression of Visual Tokens for Multimodal Large Language Models cites this paper.

LaCo: Efficient Layer-wise Compression of Visual Tokens for Multimodal Large Language Models NLVR2 Visual Bias Analysis

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T20:38:30.958476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:38:30.958476Z digest=sha256:525b68cc31a1c8072c01b50c88a59113c06454c3521fd0999b75aa07dd24a4fa

Observation 64e5c2e6-8ee0-4e94-9298-2f298e1ed724 · inbound

Analyze-Prompt-Reason: A Collaborative Agent-Based Framework for Multi-Image Vision-Language Reasoning cites this paper.

Analyze-Prompt-Reason: A Collaborative Agent-Based Framework for Multi-Image Vision-Language Reasoning NLVR2 Visual Bias Analysis

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-06T10:14:26.577064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:14:26.501485Z digest=sha256:554ba09508b686d0fb27eec158a7e69c4f5a4b597e660847117fba2aab051e5b