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Paper Citation Record · LEDGER

Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.05615.

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

pith.paper-citation-record.v1
2405.05615 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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:37:44.565913Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T11:39:22.440161Z

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 81239117-5035-4ef5-ba23-ea0e7c5a84fe · inbound

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos cites this paper.

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:39:22.442369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T11:39:22.340737Z digest=sha256:9e2f90406b287f60840091fd01a3c06defb4b65d3b7eb56b589c2f11cb8115e8

Observation d1dc0482-7b39-4693-b682-578cc52782db · inbound

Mixed-R1: Unified Reward Perspective For Reasoning Capability in Multimodal Large Language Models cites this paper.

Mixed-R1: Unified Reward Perspective For Reasoning Capability in Multimodal Large Language Models Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:44.565913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:37:44.565913Z digest=sha256:2ff217a9baedddd87cf9dd5c20fe55848fc0c409713135a8e59d2adc6d2878a2

Observation 0f4d2b99-c812-4e5e-8f72-6dee08f56bee · inbound

CyberV: Cybernetics for Test-time Scaling in Video Understanding cites this paper.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T05:26:47.126961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:47.126961Z digest=sha256:c09e86b79c299f53b5fd4be7d89e922b700eb61c7de988477135a3ab7bf00e3b