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Paper Citation Record · LEDGER

Misconfidence-based Demonstration Selection for LLM In-Context Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.06301.

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

pith.paper-citation-record.v1
2401.06301 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:32:28.193752Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:56:38.814255Z

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 8f41a1a2-8d64-4c19-b8d4-ccb077b165f4 · inbound

Towards AI-driven Sign Language Generation with Non-manual Markers cites this paper.

Towards AI-driven Sign Language Generation with Non-manual Markers Misconfidence-based Demonstration Selection for LLM In-Context Learning

Reference 162

Resolution
unresolved
no resolver link, observed 2026-08-08T18:32:28.193752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:32:28.193752Z digest=sha256:bc6a94c24c5cd686c75ce630d15b8bd0fbc45cca8d89c77cd7249c67315e90db

Observation be85b009-4086-4ba0-8a68-056b23e7e53c · inbound

Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor cites this paper.

Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor Misconfidence-based Demonstration Selection for LLM In-Context Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T15:37:53.331952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:37:53.331952Z digest=sha256:9748d33698f5d2a0d6e0a5f29e9f50dc90fb32863689439173564914d033aaa0

Observation 708778cb-95ce-487e-ab99-29b6faf0847a · inbound

DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer cites this paper.

DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer Misconfidence-based Demonstration Selection for LLM In-Context Learning

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T10:43:52.058149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:43:52.058149Z digest=sha256:25ca6926ea569a8aeef233d85453b93b8c149976437454dce296c5ae09b9a585

Observation ed213448-bfc2-4f0d-933d-e55e8b85d0bb · inbound

Self-Improving In-Context Learning cites this paper.

Self-Improving In-Context Learning Misconfidence-based Demonstration Selection for LLM In-Context Learning

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:56:38.817546Z

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=2026-05-25T04:55:34.529357Z digest=sha256:e61263fe1038f31adfdcadeaf02d4c17743c61e0ce1b6042b535e5ac3df9877f

Observation 1260f05c-6e06-4a56-b2f3-c78ed08721fe · inbound

From Errors to Rules: Iterative Prompt Optimization for Text Classification cites this paper.

From Errors to Rules: Iterative Prompt Optimization for Text Classification Misconfidence-based Demonstration Selection for LLM In-Context Learning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-02T11:09:21.339973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T11:09:21.339973Z digest=sha256:85ddf3d9123a5b424cb65f93a5c2b29edd14fa7fa1e14ec15c8f8ff66dbfdac9