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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-11T13:10:19.972353Z digest=sha256:02d7acffdac585938125cb6a51a8a11b85965c3538fb13f5761c54233cac06f6

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:fb89caf6800fe08808b59f030d816237d68f039b7298645a00486dde0787ae08

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=sha256:416a4a87bd7fd636552a0d3ea9700c5f1d3de54084a995541fb94bc1296ac2f0

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=sha256:61e9d378af8170fb01d30d4ef693c3e89db2c858c20aba696ef934a2589ad948

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-07T17:58:43.650308Z digest=sha256:f2eb40c12e118ba00439e012674ec9c0586fc77cc67a9676e6b39f78f9534e9a