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Paper Citation Record · LEDGER

Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.02103.

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

pith.paper-citation-record.v1
2408.02103 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 2026-08-07T14:09:25.930063Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:26:16.865172Z

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 37b5cd25-7488-41e2-8277-9f141a931f5d · inbound

Learning to Select In-Context Demonstration Preferred by Large Language Model cites this paper.

Learning to Select In-Context Demonstration Preferred by Large Language Model Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:25.930063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:25.930063Z digest=sha256:ca0a92e6f69d74a30af1b716884fb94b7c386f28fbd77bcd2d2fabdb4b084fde

Observation 12c106b6-835e-4a80-a9ee-cadb24ef98b6 · inbound

Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries cites this paper.

Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:26:16.932078Z

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=2026-08-07T13:26:14.186753Z digest=sha256:fa3f15a350ed9b9f347c071c63841c4b8654193b3dadafb7bd4da324a0559108