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Paper Citation Record · LEDGER

DALG: Deep Attentive Local and Global Modeling for Image Retrieval

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2207.00287.

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

pith.paper-citation-record.v1
2207.00287 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:21:56.818175Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T23:08:25.227052Z

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 df3db785-5fa5-48a9-b706-bbc7ce796a83 · inbound

UAVPairs: A Challenging Benchmark for Match Pair Retrieval of Large-scale UAV Images cites this paper.

UAVPairs: A Challenging Benchmark for Match Pair Retrieval of Large-scale UAV Images DALG: Deep Attentive Local and Global Modeling for Image Retrieval

Reference 2763

Resolution
unresolved
no resolver link, observed 2026-08-07T13:21:56.818175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:21:56.818175Z digest=sha256:68a38bd24fe6ede7118fe56a691724852ac17a4e36866d3350f3cbc88743f363

Observation 37562e3d-4101-463b-b7e7-8a30c93415bf · inbound

Revisiting Human-in-the-Loop Object Retrieval with Pre-Trained Vision Transformers cites this paper.

Revisiting Human-in-the-Loop Object Retrieval with Pre-Trained Vision Transformers DALG: Deep Attentive Local and Global Modeling for Image Retrieval

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:08:25.230194Z

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=2026-05-13T23:07:13.098350Z digest=sha256:3eda39b1a9ccf30340ca3f2b91df046397830c71ec227379e12bde93b3ae7b03