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Paper Citation Record · LEDGER

Tangent Transformers for Composition, Privacy and Removal

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.08122.

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

pith.paper-citation-record.v1
2307.08122 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:44:53.943463Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T08:12:10.580582Z

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 3a075bc0-8857-4406-bc47-acabc2163206 · inbound

DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation cites this paper.

DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Tangent Transformers for Composition, Privacy and Removal

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:12:10.584891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T08:08:43.995718Z digest=sha256:4ee407f8d5f46c3b7b6f5b8257d165a5c634499497ca704f014e7ff8684fcd1c

Observation 23c31a9e-10fb-4796-b45a-ea5c3666af9d · inbound

Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning cites this paper.

Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning Tangent Transformers for Composition, Privacy and Removal

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T19:44:53.943463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:44:53.943463Z digest=sha256:ac781fc9839f7fdca597d8ca029561292ffd3f7e828ee1af007605daa4296a3c