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Paper Citation Record · LEDGER

Data-free Multi-label Image Recognition via LLM-powered Prompt Tuning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.01209.

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

pith.paper-citation-record.v1
2403.01209 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:06:21.794901Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T22:10:13.593867Z

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 f6fa1bdf-7939-4214-9c1f-10bd3cb6a78a · inbound

OpenLKA: an open dataset of lane keeping assist from market autonomous vehicles cites this paper.

OpenLKA: an open dataset of lane keeping assist from market autonomous vehicles Data-free Multi-label Image Recognition via LLM-powered Prompt Tuning

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:10:13.598597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:10:13.217604Z digest=sha256:5bf59f38cacf644464faafaa11771588776264cba0e758b8c33f45e958b1738c

Observation 17409eba-8036-4d25-bece-f14d7b70bba0 · inbound

Decoding Neighborhood Environments with Large Language Models cites this paper.

Decoding Neighborhood Environments with Large Language Models Data-free Multi-label Image Recognition via LLM-powered Prompt Tuning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T22:06:21.794901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:06:21.794901Z digest=sha256:17280841a580b8f923f54cf50e759e54b4176ee6424814de83002b78d61f42d0