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Paper Citation Record · LEDGER

Domain Generalization using Pretrained Models without Fine-tuning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2203.04600.

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

pith.paper-citation-record.v1
2203.04600 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 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:24:12.932909Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:59:26.813266Z

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 814bb228-c1ca-452d-8f66-1a1340005871 · inbound

Collaborative Editable Model cites this paper.

Collaborative Editable Model Domain Generalization using Pretrained Models without Fine-tuning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.932909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.932909Z digest=sha256:23dcbce2b619d79fa389e4c737e12fd35c1f51d028ad3f0fbdc5ec732c1fa90b

Observation 093ed1a4-4ab0-47e8-8db3-979337861cb7 · inbound

Deep neural networks with Fisher vector encoding for medical image classification cites this paper.

Deep neural networks with Fisher vector encoding for medical image classification Domain Generalization using Pretrained Models without Fine-tuning

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:00:58.919775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T16:22:00.015928Z digest=sha256:393f6cbad9d6f6d4420d13bd02a85fbd52f14ebbd64fc28c44a7012dd3387261

Observation d117682a-406b-4142-9dff-7c69e0ebc2dd · inbound

FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion Model cites this paper.

FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion Model Domain Generalization using Pretrained Models without Fine-tuning

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-07-04T02:59:26.815201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T18:34:56.810124Z digest=sha256:eb0b52e35a75b1e8fafd61a570635254fffee09ef790d049b36ed7919a1039e7

Observation 25e08dc3-094f-4c84-89d7-126b8d8c67af · inbound

Domain Generalization via Text-Anchored Information Bottleneck cites this paper.

Domain Generalization via Text-Anchored Information Bottleneck Domain Generalization using Pretrained Models without Fine-tuning

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:48:39.343076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T16:44:58.332510Z digest=sha256:01a3ac45fdf21bd796401d18f2721de6d58e633b82f19a2e74b5422d74d82147

Observation 543e3f04-0256-4729-a738-556d30607139 · inbound

Test-Time Scaling via Error Localization cites this paper.

Test-Time Scaling via Error Localization Domain Generalization using Pretrained Models without Fine-tuning

Reference 163

Resolution
unresolved
no resolver link, observed 2026-08-01T07:28:34.909431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:28:34.909431Z digest=sha256:f2161f65e138522bfa88b67c77a1e71f4e2b1af907b5fe9f9ca6bcf5fbe3b91a