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Paper Citation Record · LEDGER

3VL: Using Trees to Improve Vision-Language Models' Interpretability

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.17345.

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

pith.paper-citation-record.v1
2312.17345 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:28:21.986990Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T10:31:03.888372Z

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 45d68678-604d-4ed8-9009-15a463208fe4 · inbound

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs cites this paper.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs 3VL: Using Trees to Improve Vision-Language Models' Interpretability

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T20:28:21.986990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T20:28:21.986990Z digest=sha256:37f1b8da456f3a74a1837cb1181575e250f09f7f5ef3863645562830a5f3fc42

Observation d5dac9c3-cad0-4b04-93a0-86959c08f660 · 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 3VL: Using Trees to Improve Vision-Language Models' Interpretability

Reference 100

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:31:03.892950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:26:55.369840Z digest=sha256:f400cb2a5a2cea1d1e243d8c8a79dc0cb735ac4a5dd3bea7940c79cc46e62bd9