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Paper Citation Record · LEDGER

In-Context Learning Learns Label Relationships but Is Not Conventional Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.12375.

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

pith.paper-citation-record.v1
2307.12375 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:39:04.462810Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T13:45:28.252611Z

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 8d932875-a9b1-4da4-ac3a-be3d9ba9b328 · inbound

Don't Just Demo, Teach Me the Principles: A Principle-Based Multi-Agent Prompting Strategy for Text Classification cites this paper.

Don't Just Demo, Teach Me the Principles: A Principle-Based Multi-Agent Prompting Strategy for Text Classification In-Context Learning Learns Label Relationships but Is Not Conventional Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T13:39:04.462810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:39:04.462810Z digest=sha256:d5517f168098bc63e9dc3dde7db9de953545758f366bc8ed6c89cc21b985f7e4

Observation 6f8215d5-9b8f-48d8-ac21-8d5d05745e2b · inbound

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

Towards Compute-Optimal Many-Shot In-Context Learning In-Context Learning Learns Label Relationships but Is Not Conventional Learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T15:20:38.665510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:38.665510Z digest=sha256:f70eb5751951f4f144192e5184d8b6f7ffd87c536b2da61f8bc831e5ba40cb42

Observation 7f4529eb-2cd7-4732-a11b-15b1eb9a7db2 · inbound

Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks cites this paper.

Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks In-Context Learning Learns Label Relationships but Is Not Conventional Learning

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:45:28.255234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T13:41:37.942145Z digest=sha256:4eb114b2f1210c4c911f1630db9099a81011424f37928ca4d2e16caa01c3ce77