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Paper Citation Record · LEDGER

A Unified Sequence Interface for Vision Tasks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.07669.

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

pith.paper-citation-record.v1
2206.07669 v2

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:10:40.671530Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T09:29:06.207175Z

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 12a4acb0-4a40-480a-a358-83aabdbd50f8 · inbound

PaLI: A Jointly-Scaled Multilingual Language-Image Model cites this paper.

PaLI: A Jointly-Scaled Multilingual Language-Image Model A Unified Sequence Interface for Vision Tasks

Reference 197

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:29:06.209751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-16T09:29:05.956863Z digest=sha256:c2e747cbac98033026fb9e1409ed1987cade72d482e934a02ea82d3daed4c377

Observation 63341173-fefd-42f3-bdce-6bfaa1798857 · inbound

ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model cites this paper.

ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model A Unified Sequence Interface for Vision Tasks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T10:10:40.671530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:10:40.671530Z digest=sha256:e66cd1f801b527ffafb750d49dc595c2c5be1bc7cbc049a6f05b3d3bdb0d92ce