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Paper Citation Record · LEDGER

Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens

As of 18 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2505.17317.

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

pith.paper-citation-record.v1
2505.17317 v2

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:51:49.745623Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

9 of 9 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 81914e19-6979-473a-8e14-f806d91d780e · outbound

This paper cites an unresolved cited work.

Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:49.034841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:49.034841Z digest=sha256:d54a0a91a307c134ba2cb253851a3921596f6ef297e946fb730ef7fe2539791d

Observation 4b8bab7e-058a-4682-9329-9dc5d51903f9 · outbound

This paper cites VisDA: The Visual Domain Adaptation Challenge.

Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens VisDA: The Visual Domain Adaptation Challenge

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:49.492923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:49.492923Z digest=sha256:559898b5f0d123efdf3a1916ba004b34ce3dcc8269f6df3c2da946ba4478a114

Observation 5828587a-c666-4916-bcb4-2ec06af88f57 · outbound

This paper cites 121–135).

Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens 121–135)

Reference 5

Resolution
verified exact
doi, observed 2026-08-07T14:51:49.957725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:51:49.376841Z digest=sha256:a3e8068f515904a8e3195b1df77641c74f3fc9d19ce61b8c50eddb39b59d6cdd

Observation bb0d8f39-2312-41f4-bb9e-945a36171f49 · outbound

This paper cites an unresolved cited work.

Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens Unresolved cited work

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:49.594835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:49.594835Z digest=sha256:9e74a2f796b846c59cb96622ff342908576ba5edf071b4ddcbf118ae01b1f49c

Observation ae19e57d-8296-437e-8770-7866b8fc28b0 · outbound

This paper cites BioCLIP: A Vision Foundation Model for the Tree of Life.

Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens BioCLIP: A Vision Foundation Model for the Tree of Life

Reference 122

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:49.642319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:49.642319Z digest=sha256:d2cb92b1ac247216f93e151c639d5a10a47d494f3b75c1ae2f09f0e311cab402

Observation 393e30ad-4ff5-4cc9-8216-09efbc8ab057 · outbound

This paper cites an unresolved cited work.

Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens Unresolved cited work

Reference 774

Resolution
verified exact
doi, observed 2026-08-07T14:51:50.124112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:51:49.208375Z digest=sha256:65e51ae751e876cef87a562d23e6a5c453fe605a772af1befcd230cf5efd6223

Observation 9875b0eb-3dcd-450b-840a-e51c27735932 · outbound

This paper cites Proceedings of the National Academy of Sciences 118:e2002545117.

Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens Proceedings of the National Academy of Sciences 118:e2002545117

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:49.295091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:49.295091Z digest=sha256:5cf7bc3bda6787bcf79009fc40df25f77794777d9464c05aa5d6dadcce5c572e

Observation c8551664-89f7-467e-bdbd-0b4b13060223 · outbound

This paper cites Adversarial Discriminative Domain Adaptation.

Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens Adversarial Discriminative Domain Adaptation

Reference 4117

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:49.745623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:49.745623Z digest=sha256:77a1e1911e779b3e18d3555a16c884d88295d93f86b631eaff6f90127c2f084b

Observation fbccbb85-8325-4932-9a9a-d38c42f5a13c · outbound

This paper cites Static Segmentation by Tracking: A Label-Efficient Approach for Fine-Grained Specimen Image Segmentation.

Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens Static Segmentation by Tracking: A Label-Efficient Approach for Fine-Grained Specimen Image Segmentation

Reference 7586

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:51:50.299275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:51:49.117680Z digest=sha256:fe6d8f4ffb264c2a36cfbd7364600960ae036647d6edbdd30960c62425667c39

Pith citing papers

No inbound Pith citation observations are available.