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Paper Citation Record · LEDGER

A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.17376.

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

pith.paper-citation-record.v1
2303.17376 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 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-11T13:10:19.972353Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:51:30.655684Z

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 49b839cc-6b5b-49fa-b61f-58c49002dbc0 · inbound

PaliGemma: A versatile 3B VLM for transfer cites this paper.

PaliGemma: A versatile 3B VLM for transfer A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:10:21.019875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T13:10:19.972353Z digest=sha256:6929efcc99db3a8d54fb83f178a2ffe2869f53036502b87eaf0b619d3da0a7bd

Observation d5bfa6ae-47d7-4378-9baa-4f9dce7f84d5 · inbound

Text-Conditional JEPA for Learning Semantically Rich Visual Representations cites this paper.

Text-Conditional JEPA for Learning Semantically Rich Visual Representations A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:51:30.658323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-07T17:58:43.650308Z digest=sha256:3bcaf77a999f38c07021289b169dbeeae39e00c8cad36c12200e2805e824ab3a