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Paper Citation Record · LEDGER

Efficient Prompting via Dynamic In-Context Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.11170.

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

pith.paper-citation-record.v1
2305.11170 v1

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 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:12:16.454808Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T02:39:33.254724Z

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 c5afef2f-405f-4fe8-aa82-eb201347b2f3 · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models Efficient Prompting via Dynamic In-Context Learning

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:39:33.256294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T02:39:33.007894Z digest=sha256:107a0fc41477de5817d43eb0fd331794aea26dee1436ea7d2cfbe6dae0e5ab69

Observation 2c58fcf9-3969-446c-bae8-2e75cae6f798 · inbound

ComMer: a Framework for Compressing and Merging User Data for Personalization cites this paper.

ComMer: a Framework for Compressing and Merging User Data for Personalization Efficient Prompting via Dynamic In-Context Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T22:12:16.454808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:12:16.454808Z digest=sha256:4c0d49c87fe2af33db542404f164de6f310d7b530a5e82c5ada275b15151c0f4

Observation ee3dc50d-ee9a-495b-b346-3fff87007e04 · inbound

Dynamic Context-Aware Prompt Recommendation for Domain-Specific AI Applications cites this paper.

Dynamic Context-Aware Prompt Recommendation for Domain-Specific AI Applications Efficient Prompting via Dynamic In-Context Learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T22:44:52.245879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:44:52.245879Z digest=sha256:1eb8bea5da1cf4955fa25027d2b59f7d5d7fbfb565e65ef9b684e87c69a7d4de