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Paper Citation Record · LEDGER

POP: Prompt Of Prompts for Continual Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.08200.

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

pith.paper-citation-record.v1
2306.08200 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:01:30.211965Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:37:21.889087Z

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 528e1909-0ffc-4f79-be98-9dee6402cef1 · inbound

Parameter-Efficient Continual Fine-Tuning: A Survey cites this paper.

Parameter-Efficient Continual Fine-Tuning: A Survey POP: Prompt Of Prompts for Continual Learning

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T12:01:30.211965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:01:30.211965Z digest=sha256:9ac0390bc93f866f82c11093fe29ae3e0e5d7305d20b57073d95bb0177d6373c

Observation 44cf247d-0914-4b6a-9be5-ba9abed59c9f · inbound

Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement cites this paper.

Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement POP: Prompt Of Prompts for Continual Learning

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T13:37:21.961441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:37:15.039670Z digest=sha256:0a6e3941a3b484ff620b56ea5ebc4ffc5e38b2332a28c33fb9f30bd922090fe4