Paper Citation Record · LEDGER

Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2205.12685.

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

pith.paper-citation-record.v1
2205.12685 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:20:38.731801Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7cc92492-85a1-435b-a447-06f6f65ea649 · inbound

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? cites this paper.

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations

Reference 211

Resolution: verified exact; arxiv_id, observed 2026-05-15T09:51:46.836439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c03ffb76-70c4-487c-8b84-28b58ab7dc65 · inbound

Discovering Latent Knowledge in Language Models Without Supervision cites this paper.

Discovering Latent Knowledge in Language Models Without Supervision Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T20:34:08.318512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 32fb9a7a-cbf1-44e8-8f1d-9d213e3fc7df · inbound

Towards Compute-Optimal Many-Shot In-Context Learning cites this paper.

Towards Compute-Optimal Many-Shot In-Context Learning Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T15:20:38.731801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecc2c13f-d889-4784-8aeb-4b153fd6e88a · inbound

InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity cites this paper.

InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T14:44:28.027144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eee7e8eb-c5c0-4635-b664-b7e46555a7e2 · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations

Reference 140

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:41:38.009853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ea2bb601-38e9-4086-8f53-19f2e846f15f · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations

Reference 141

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T16:41:37.525214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.