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Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:06:35.661047Z

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T13:10:19.972353Z digest=sha256:e7fc4feb7177e2002a24ad742c9481747e115ac428df7aedef4627eef080cbae

Observation 0851874e-f440-4a09-9fdf-98e78df3eda8 · inbound

Active Data Curation Effectively Distills Large-Scale Multimodal Models cites this paper.

Active Data Curation Effectively Distills Large-Scale Multimodal Models A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T11:06:35.661047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:06:35.661047Z digest=sha256:3d4172faf47c110a0a94dc7f643d106d4605bb99a43b1b60cfdc9cc65eda2493

Observation cc6d2620-6e05-4b34-addc-572fb4834fe5 · inbound

Contextual Generative Auction with Permutation-level Externalities for Online Advertising cites this paper.

Contextual Generative Auction with Permutation-level Externalities for Online Advertising A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T14:56:26.067209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:56:26.067209Z digest=sha256:6e09ecf10583a88f9bc3c7298578393bd4de1ebb4f9ac426d883b8ebdf9ecb11

Observation 982bad9c-2405-4585-98d1-765740d04638 · inbound

Visual Pre-Training on Unlabeled Images using Reinforcement Learning cites this paper.

Visual Pre-Training on Unlabeled Images using Reinforcement Learning A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T01:06:16.896594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:06:16.896594Z digest=sha256:20d83b9f2a58c867187bddcf16a5df6fd17c726dcd14f7370c71ef845732ee10

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-07T17:58:43.650308Z digest=sha256:2d7ee0be5810cc3666c777a71884e1e80839e6ec084523e81278517b27d75e14