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Paper Citation Record · LEDGER

Visual Variational Autoencoder Prompt Tuning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.17650.

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

pith.paper-citation-record.v1
2503.17650 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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:37:35.551807Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:49:56.356391Z

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 dec57766-4b5c-4ea3-b230-1a2945b3d7e3 · inbound

Visual Instance-aware Prompt Tuning cites this paper.

Visual Instance-aware Prompt Tuning Visual Variational Autoencoder Prompt Tuning

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T18:37:35.551807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:37:35.551807Z digest=sha256:d1fc40a604b1f849d3deef246afa6c7f9a0b5afdced2f0fe4520e406a99339f6

Observation 78899d35-5ae8-4c5d-bf14-87cc3919893a · inbound

Layer-Specific Prompt Fusion Discovery via Differentiable Search in Vision Foundation Models cites this paper.

Layer-Specific Prompt Fusion Discovery via Differentiable Search in Vision Foundation Models Visual Variational Autoencoder Prompt Tuning

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:49:56.359808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T01:27:24.402364Z digest=sha256:9ed4f552cefafdc7c217fb1efbf287499c097e54f7f0dd282721a9976e3253d1

Observation 9c38101f-60b9-4a30-aaa2-31f3869fe526 · inbound

Rethinking Layer-Wise Information Allocation for Vision Foundation Model Adaptation cites this paper.

Rethinking Layer-Wise Information Allocation for Vision Foundation Model Adaptation Visual Variational Autoencoder Prompt Tuning

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-01T06:14:16.488088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:14:16.488088Z digest=sha256:74264c699d9ab80992b0c4f2b07bf235bc930fd4cdba95ef003b6b7f1b9f055d