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Paper Citation Record · LEDGER

Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.03248.

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

pith.paper-citation-record.v1
2312.03248 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T05:31:12.070781Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T05:29:48.310349Z

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 3e62ada4-2b7f-45db-8bc7-8dcdc53d1213 · inbound

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts cites this paper.

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:29:48.313903Z

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=arxiv_source observed=2026-05-15T05:25:38.967645Z digest=sha256:2eacddf8501f868f6427ee8cb5bd26ca5dfde7f3658cb166e2550c3635cc3594

Observation aed9428d-393f-46e0-8b60-c8dac728636e · inbound

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling cites this paper.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-12T05:31:12.070781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:31:12.070781Z digest=sha256:5ca7e2e7eaad79d7f366a70a475bf1a6696df0c0a787c3d7d239c26008a1ef35