Pith. sign in

Paper Citation Record · LEDGER

Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.09808.

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

pith.paper-citation-record.v1
2211.09808 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:18:15.836297Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T23:07:42.855045Z

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 2c611f29-ff39-4f4a-80b6-43e21702f677 · inbound

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention cites this paper.

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks

Reference 281

Resolution
verified exact
arxiv_id, observed 2026-05-14T23:07:42.858139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-14T23:07:42.245641Z digest=sha256:72c4c2486f2588ed3e9ec9b09fe227ca2f75714c6f358051f882686c095f0039

Observation 7857c496-a36b-47bb-b9f3-a7c17606f43f · inbound

Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multi-Task Learning Perspective cites this paper.

Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multi-Task Learning Perspective Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:15.836297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:18:15.836297Z digest=sha256:7b1a1138678cadd4980a1879244e5bea4b2638c7dfbbb8aa7fbd7732797f9dc2