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Paper Citation Record · LEDGER

Concept-Guided Prompt Learning for Generalization in Vision-Language Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.07457.

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

pith.paper-citation-record.v1
2401.07457 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 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:49:54.442299Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:46:32.443883Z

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 87510e8a-dba6-4579-b447-1a9a27b3dc07 · inbound

SenCLIP: Enhancing zero-shot land-use mapping for Sentinel-2 with ground-level prompting cites this paper.

SenCLIP: Enhancing zero-shot land-use mapping for Sentinel-2 with ground-level prompting Concept-Guided Prompt Learning for Generalization in Vision-Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T17:49:54.442299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:49:54.442299Z digest=sha256:d60971fd74b067043da1660844d1bda3962a3299a5d17d7ea2dc658b195c7ed7

Observation 149ccda9-ba4c-4bdb-a47b-735cde55cbc5 · inbound

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP cites this paper.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Concept-Guided Prompt Learning for Generalization in Vision-Language Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T15:05:08.222986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:05:08.222986Z digest=sha256:e2fce303740efbd6cccc28a0a33e7c1ddc937a0d73f5e41bc8bdd81bcee3a23b

Observation 8a19fa93-33ae-410f-a338-95dc0eda8537 · 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 Concept-Guided Prompt Learning for Generalization in Vision-Language Models

Reference 77

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:46:32.447942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.297597Z digest=sha256:8d928d1d61a2bb73b846124cc26eae1862e49a1976e1b9272074f6a32df7be5a