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Paper Citation Record · LEDGER

Learning Clustering-based Prototypes for Compositional Zero-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:2502.06501.

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

pith.paper-citation-record.v1
2502.06501 v2

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 2026-08-06T05:46:32.185679Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T12:21:21.367200Z

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 66588149-311d-4d5d-825d-9fa5da80cc49 · inbound

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models cites this paper.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Learning Clustering-based Prototypes for Compositional Zero-shot Learning

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:32.185679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.185679Z digest=sha256:1de241fe2a0f103b7d535b14b7d9084f506f54139d074bda63a45b7bba9af84a

Observation 175ef203-bfb9-46fd-872d-f8c4b555679e · inbound

GRAPE: Let GRPO Supervise Query Rewriting by Ranking for Retrieval cites this paper.

GRAPE: Let GRPO Supervise Query Rewriting by Ranking for Retrieval Learning Clustering-based Prototypes for Compositional Zero-shot Learning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:21:21.369554Z

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=2026-05-18T12:18:06.259724Z digest=sha256:23073cf10a3bf3ca677766e2d3fb53102a49dcabf54fad9698c953d4dfdba68c

Observation 7162f7b5-b5fb-463a-9d65-9925c1085830 · inbound

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation cites this paper.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Learning Clustering-based Prototypes for Compositional Zero-shot Learning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-03T19:06:02.912825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:06:02.912825Z digest=sha256:203de1ed1b8e93e692ae57b94cc47a9b6de81a06e8c613c575327df352ececb0

Observation 3d5b1163-4c82-45e0-9660-42f245e78471 · inbound

Alleviating Regional Shortcuts for Few-Shot Class-Incremental Learning cites this paper.

Alleviating Regional Shortcuts for Few-Shot Class-Incremental Learning Learning Clustering-based Prototypes for Compositional Zero-shot Learning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T05:58:27.893675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:58:27.893675Z digest=sha256:482dd761b91f622c420f7081544b4a7cabe7a3c3af9ad06eac35939f76fd2fe5