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Paper Citation Record · LEDGER

Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.19101.

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

pith.paper-citation-record.v1
2412.19101 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:20:58.760619Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:34:01.829913Z

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 df2303d5-507c-498c-88b3-031c071eb3b3 · inbound

Random Registers for Cross-Domain Few-Shot Learning cites this paper.

Random Registers for Cross-Domain Few-Shot Learning Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T11:20:58.760619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:20:58.760619Z digest=sha256:ea1abe88c8a6116209c408bad7ebb256755f870ac2983c441af9b9861f91e807

Observation 4103f902-4876-496a-b02c-ec632b8d8aac · inbound

Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning cites this paper.

Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T11:14:01.153846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:14:01.153846Z digest=sha256:877e49b67889b34e40fd2dc516ee0ed805d5a1fa5d5633c51f244c9528ecca01

Observation 22a47278-d96e-4114-9986-657bf0da08f4 · inbound

Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning cites this paper.

Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:34:01.832282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T22:28:35.155099Z digest=sha256:87956b7a8f06cf0aefac5bd8e15b507896fd3a9e111862572107e0284a5f85eb

Observation 3f857f3d-04ee-49d9-b1bd-3f08a34c066f · inbound

Improving CLIP Adaptation by Breaking Tail Alignment for Source-Free Cross-Domain Few-Shot Learning cites this paper.

Improving CLIP Adaptation by Breaking Tail Alignment for Source-Free Cross-Domain Few-Shot Learning Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:23:15.565947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T08:16:57.329872Z digest=sha256:bb4230da198f4c37e33463253a4b3553b8bdf3f11cf98e8440a5cbe6bbcedb20