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Paper Citation Record · LEDGER

CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.06993.

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

pith.paper-citation-record.v1
2503.06993 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:34:05.566069Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T05:57:22.550079Z

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 2411a0e4-7a29-4db8-98d3-9b6618df4ac5 · inbound

Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning cites this paper.

Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:31:12.441016Z

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=2026-05-09T16:15:12.720659Z digest=sha256:04bf3304c1f7da185230c1f5e3df71a4e8bc9f6e509a8e1609d3f3df0183224e

Observation 0c036b97-5e50-4d9b-aa1c-430adbd42a37 · inbound

Cluster-Aware Neural Collapse Prompt Tuning for Long-Tailed Generalization of Vision-Language Models cites this paper.

Cluster-Aware Neural Collapse Prompt Tuning for Long-Tailed Generalization of Vision-Language Models CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:57:22.551843Z

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=2026-05-13T05:56:31.648428Z digest=sha256:e43e73eafaad76d5ff1c2c45f2a2f2a4e2b6841cdedfdf3d6066bbebdb9c63d1

Observation a8332bee-d1f0-4710-893c-cf1355e88ed2 · inbound

On the Effectiveness of Adaptation Strategies for VLM-Based Federated Learning in Remote Sensing cites this paper.

On the Effectiveness of Adaptation Strategies for VLM-Based Federated Learning in Remote Sensing CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T16:34:05.566069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:34:05.566069Z digest=sha256:e4de797c270c63923aca621eb5247a816f39a33e919065488eb02756d80c4ad6