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Paper Citation Record · LEDGER

Boost Test-Time Performance with Closed-Loop Inference

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.10853.

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

pith.paper-citation-record.v1
2203.10853 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:56:01.710319Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:48:02.989456Z

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 344888a3-91ed-41a6-8438-1a5a9936afb7 · inbound

Test-Time Learning for Large Language Models cites this paper.

Test-Time Learning for Large Language Models Boost Test-Time Performance with Closed-Loop Inference

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T13:56:01.710319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:56:01.710319Z digest=sha256:bb6a97da221ebe9794f060558cf18e30dfbaa537d4065bf7b2421a589216a04b

Observation 5df9e73b-e12f-42f8-ab0c-58ef66e218be · inbound

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization cites this paper.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Boost Test-Time Performance with Closed-Loop Inference

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:48:03.083272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T05:47:53.625945Z digest=sha256:3107ea82554bc987a994c95c5e532986755e997c1a0d543a6b7dee9801031426