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Paper Citation Record · LEDGER

DEJA VU: Continual Model Generalization For Unseen Domains

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.10418.

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

pith.paper-citation-record.v1
2301.10418 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:25:55.418629Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:17:50.585074Z

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 fe7e8e9c-5819-4462-92f9-8ca2b3761b42 · inbound

TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation cites this paper.

TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation DEJA VU: Continual Model Generalization For Unseen Domains

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T21:25:55.418629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:25:55.418629Z digest=sha256:84c973d9b79649bb6392f236001ec69c8ede336eb1db96832140e56f084d7cba

Observation 2804b8ff-7434-4a07-bf25-e20fdaf894b4 · inbound

Uncertainty-aware Test-Time Training (UT$^3$) for Efficient On-the-fly Domain Adaptive Dense Regression cites this paper.

Uncertainty-aware Test-Time Training (UT$^3$) for Efficient On-the-fly Domain Adaptive Dense Regression DEJA VU: Continual Model Generalization For Unseen Domains

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:17:50.589323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:17:50.424521Z digest=sha256:a16ebd9492400bdf63549fafcae77d9a0c8cfeb652b8c940d35b923d51bd111f