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Paper Citation Record · LEDGER

Unsupervised Domain Adaptation through Self-Supervision

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1909.11825.

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

pith.paper-citation-record.v1
1909.11825 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:46:19.903728Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T10:09:24.384546Z

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 a2203eba-e29f-451c-9b1c-410fb4235dcd · inbound

Tent: Fully Test-time Adaptation by Entropy Minimization cites this paper.

Tent: Fully Test-time Adaptation by Entropy Minimization Unsupervised Domain Adaptation through Self-Supervision

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-16T10:09:24.386482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T10:09:24.356624Z digest=sha256:edfa47eb378dd1b47355f5c7816409e9846a0a3d46b19bfc57424a6c05946e01

Observation e4898237-482d-436a-8fc8-b453c1885907 · inbound

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment cites this paper.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Unsupervised Domain Adaptation through Self-Supervision

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T22:46:19.903728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:46:19.903728Z digest=sha256:53817f506fe4581d46a7a8de2762687ecc080fc1648313d33880bca2dc774dbc

Observation 89c5986f-210b-4224-a4f2-d88eb0a9cf12 · inbound

Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation cites this paper.

Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation Unsupervised Domain Adaptation through Self-Supervision

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T21:08:31.962874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:08:31.962874Z digest=sha256:8e478f6403a139a79a67c6c1825a14e65b8f52406ac67da53eab28a39285f5a0

Observation abafc62c-9046-49ee-9f00-a2ad4b6b1ba6 · inbound

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation cites this paper.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation Unsupervised Domain Adaptation through Self-Supervision

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T04:33:22.328089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:33:22.328089Z digest=sha256:65bc877796a9853ce77af0769ce40042e9acf56b5e3e630b2441423cbc88182f

Observation 24b2587a-a7a9-424d-b8d5-aa1a94cb4f30 · inbound

SynthGenNet: a self-supervised approach for test-time generalization using synthetic multi-source domain mixing of street view images cites this paper.

SynthGenNet: a self-supervised approach for test-time generalization using synthetic multi-source domain mixing of street view images Unsupervised Domain Adaptation through Self-Supervision

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T11:46:56.291957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:46:56.291957Z digest=sha256:8fc208d24efdc25751ae75706fd9f4898110cb2d32915958e918b259dfc6fe1f

Observation 49214346-8025-4c59-8a64-4f45bdc65e9d · inbound

MMEarth-Bench: Global Model Adaptation via Multimodal Test-Time Training cites this paper.

MMEarth-Bench: Global Model Adaptation via Multimodal Test-Time Training Unsupervised Domain Adaptation through Self-Supervision

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-03T04:01:59.631258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:01:59.631258Z digest=sha256:25339f55a8b6fce9f2e7c18dde26e5227f7d1747272d15c5aabe4526b231d090