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Paper Citation Record · LEDGER

Attention-based Joint Detection of Object and Semantic Part

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.02419.

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

pith.paper-citation-record.v1
2007.02419 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:26:48.641056Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:42:33.519493Z

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 82d9ca40-f113-4f9b-aef1-02cdf97cca54 · inbound

Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models cites this paper.

Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models Attention-based Joint Detection of Object and Semantic Part

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T22:26:48.641056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:26:48.641056Z digest=sha256:cba22ae4d140d3d6ce96e29092cdb1a3d8db2d535b69aaafa602e99ec6e81340

Observation 7a7f6e5e-2bca-44ad-82f8-6d3ec8f62971 · inbound

Unlocking the Power of SAM 2 for Few-Shot Segmentation cites this paper.

Unlocking the Power of SAM 2 for Few-Shot Segmentation Attention-based Joint Detection of Object and Semantic Part

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:42:33.596880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T15:42:29.913387Z digest=sha256:c6f421df686ab504001b3ef0ddbd16ea52b10794f8188a243fafd97c29217ad8