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Paper Citation Record · LEDGER

Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.16048.

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

pith.paper-citation-record.v1
2306.16048 v3

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 2026-08-04T20:28:21.896837Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T05:51:26.129093Z

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 f50ca788-eafd-4f1c-9579-2ae256909e5c · inbound

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

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T20:28:21.896837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T20:28:21.896837Z digest=sha256:6c0f8a26e45d848e79f4e736ace6ccfde5db181f914b26149514e1316302929f

Observation 62a6791a-c977-4ac9-b054-91b15c94b01c · inbound

Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression cites this paper.

Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:51:09.391581Z

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=arxiv_source observed=2026-05-09T14:36:29.666730Z digest=sha256:1b31daacea0f5f13b984e09d55516b7306fa5ad8ea21869262f424db6385b931

Observation ec283876-007d-41ac-9ee9-e906e9cecd34 · inbound

Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression cites this paper.

Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:51:26.134745Z

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=arxiv_source observed=2026-05-12T04:52:09.685243Z digest=sha256:0604601d7bd014c35c376bed2c71faabd43c9e088e75fd4fab8fce0636bcdc77