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Paper Citation Record · LEDGER

Multi-Modal Adapter for Vision-Language Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.02958.

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

pith.paper-citation-record.v1
2409.02958 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:24:51.290207Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T22:19:31.819815Z

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 ba610698-d4fc-4acf-8499-e6bdba964571 · inbound

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays cites this paper.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays Multi-Modal Adapter for Vision-Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T14:24:51.290207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:24:51.290207Z digest=sha256:8d952dadc8f43ff780b8cc04a92881b4e33a5da1f304b2e79d3ed6231fe3dbc8

Observation 05938c62-8d35-4d8e-8ce0-905c7eaf035c · inbound

Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics cites this paper.

Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics Multi-Modal Adapter for Vision-Language Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:19:31.823326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-14T22:18:21.952872Z digest=sha256:dba70b93cd58bb49639014d216ed955940346eeb6d44efab7be83d62a046c90e