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Paper Citation Record · LEDGER

The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2103.06937.

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

pith.paper-citation-record.v1
2103.06937 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 2026-08-07T11:41:45.347662Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:41:45.414036Z

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 a55fd671-2900-42b6-9621-d4f8595f4a9e · inbound

Active Learning via Vision-Language Model Adaptation with Open Data cites this paper.

Active Learning via Vision-Language Model Adaptation with Open Data The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:41:45.419983Z

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=2026-08-07T11:41:45.347662Z digest=sha256:a57b74e75e9b7ee1a2087653aa56ca3c86ebf564af5b670655ab337a668aac3a

Observation 82188966-40a1-4360-a877-79315d3ad2db · inbound

Solving Semi-Supervised Few-Shot Learning from an Auto-Annotation Perspective cites this paper.

Solving Semi-Supervised Few-Shot Learning from an Auto-Annotation Perspective The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-03T17:19:00.645472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:19:00.645472Z digest=sha256:2ab157f1de4397cc12b87df96db749873a79c5ab121f50314a733830b0fde4e2

Observation 8f0ef4bb-d848-45cc-b7ea-5576c8404f04 · inbound

Visual Species Recognition with Large Multimodal Models as Post-Hoc Correctors cites this paper.

Visual Species Recognition with Large Multimodal Models as Post-Hoc Correctors The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-03T17:20:55.270657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:20:55.270657Z digest=sha256:d33d63385c8b9d64fb58dc88e37869fcfb38152b6dd7527bbd8151d68e12fc66