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Paper Citation Record · LEDGER

Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.01430.

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

pith.paper-citation-record.v1
2304.01430 v3

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:16:52.769361Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:23:15.707434Z

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 be38bf00-edcf-4bd1-bd52-01e50dc9c187 · inbound

Learning segmentation from point trajectories cites this paper.

Learning segmentation from point trajectories Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T17:16:52.769361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:16:52.769361Z digest=sha256:48ab8820b7e4b05c1b8385edcd0f6d22c9e83da2c291f9d324b1a76535883c7c

Observation 61e53a34-ea8a-4087-a560-fe7d2ed1a3dc · inbound

GMOS: Grounding Moving Object Segmentation in 3D Space and Time cites this paper.

GMOS: Grounding Moving Object Segmentation in 3D Space and Time Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:23:15.709185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-29T08:14:44.138568Z digest=sha256:1fcb3f0f4954c60d876ac7d6dab6fbc1bada9a6782e548b055b7c10a94af38c3