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Paper Citation Record · LEDGER

Structured Prompting: Scaling In-Context Learning to 1,000 Examples

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2212.06713.

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

pith.paper-citation-record.v1
2212.06713 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:21:13.570245Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:22:08.944336Z

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 aef5268c-3d53-438a-9b56-6ec19a4dab27 · inbound

PaLI-X: On Scaling up a Multilingual Vision and Language Model cites this paper.

PaLI-X: On Scaling up a Multilingual Vision and Language Model Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 96

Resolution
verified exact
arxiv_id, observed 2026-05-17T14:36:10.066909Z

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.

source=pdf_text observed=2026-05-17T14:36:09.971825Z digest=sha256:bc6e8a822278f12d7d9f9dca0113e41dc0c5e357dabfc128175419351e1d448a

Observation 1ada1392-5218-49c4-aa60-9aeb96d2ffb2 · inbound

Retentive Network: A Successor to Transformer for Large Language Models cites this paper.

Retentive Network: A Successor to Transformer for Large Language Models Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:29:59.865378Z

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.

source=pdf_text observed=2026-05-11T20:29:59.633357Z digest=sha256:32db33af80e921cbe719694d8824f320aa6923848e4eed90bf9378ade1067e4c

Observation 28ce86d2-f281-4e86-88fb-8132e564bfc9 · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:22:08.947253Z

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.

source=pdf_text observed=2026-05-22T21:20:07.238992Z digest=sha256:bd3a405d307d8d3c2582a0c7d982938f7d653e4172e65f67102704ebd0661b40

Observation b24fca87-565f-40b9-a7f3-1fac78b68f44 · inbound

Unveiling Effective In-Context Configurations for Image Captioning: An External & Internal Analysis cites this paper.

Unveiling Effective In-Context Configurations for Image Captioning: An External & Internal Analysis Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-06T19:21:13.570245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:13.570245Z digest=sha256:a32e3322487475d274cae89260bf41a84282955c9fe618bb63ff4ab85cb8bcad

Observation 9611d3c9-7e26-4b39-9233-d0419d37f5eb · inbound

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

Towards Compute-Optimal Many-Shot In-Context Learning Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T15:20:38.648781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:38.648781Z digest=sha256:ade2277ea9d6276c2ddba922144a8b092add011fcb1c751be6340d14aebdf84e

Observation 74b6face-b88e-47ce-94dc-ab36ccb882d4 · 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 Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T10:43:45.931534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:43:45.931534Z digest=sha256:52ac88da10ceeb85bd45c7df430d90a0675387926a967602fe748d9defc52e53

Observation 9c6eb0b7-8d6a-486c-8726-75aca7c61064 · inbound

Prompting Large Language Models with Partial Knowledge for Answering Questions with Unseen Entities cites this paper.

Prompting Large Language Models with Partial Knowledge for Answering Questions with Unseen Entities Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T05:49:49.908118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:49:49.908118Z digest=sha256:c5456c978d091a2ed5f4f64c10a59206ec64f0dbf9c570ace1827ed9de150892

Observation 44b14da5-14d8-433a-80c5-31688df9c1a8 · inbound

Learning to Select Visual In-Context Demonstrations cites this paper.

Learning to Select Visual In-Context Demonstrations Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T05:46:05.881750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:46:05.881750Z digest=sha256:f84d28137ea3fb7d5c06240f96833174506bafac54c3c2b3eb5900e5ccf55c93

Observation 05fca705-b70b-43a8-b5b4-7ad50a31aade · inbound

ONTO: A Token-Efficient Columnar Notation for LLM Input Optimization cites this paper.

ONTO: A Token-Efficient Columnar Notation for LLM Input Optimization Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:23:37.784801Z

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.

source=arxiv_source observed=2026-05-10T05:21:56.826488Z digest=sha256:62ac1ec592f71abdeca8106c20da8a33cf4dbf2c845651ead50d7ec41130601c

Observation b28ed8c0-3d2e-4979-b3ab-b39a46dff738 · inbound

LLM-as-a-Coach: Experiential Learning for Non-Verifiable Tasks cites this paper.

LLM-as-a-Coach: Experiential Learning for Non-Verifiable Tasks Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 243

Resolution
unresolved
no resolver link, observed 2026-08-01T16:08:01.093162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:08:01.093162Z digest=sha256:c8ed6527f79d11af373a0b1690412f5d983a60de5c9f06516caedec35624a223