Paper Citation Record · LEDGER

Effects of Prompt Length on Domain-specific Tasks for Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.14255.

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

pith.paper-citation-record.v1
2502.14255 v1

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

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:11:11.163381Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T05:08:05.323869Z

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 d5026bfe-4438-49f3-9ca2-c463ebfe1142 · inbound

Brewing Knowledge in Context: Distillation Perspectives on In-Context Learning cites this paper.

Brewing Knowledge in Context: Distillation Perspectives on In-Context Learning Effects of Prompt Length on Domain-specific Tasks for Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T04:11:11.163381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 696f5e5c-d852-49ef-989a-7945cf6f8d8c · inbound

When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents cites this paper.

When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents Effects of Prompt Length on Domain-specific Tasks for Large Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T08:06:12.280621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f50cb900-c798-46d4-8fb8-5d0cd1d0a7a5 · inbound

Using street view images and visual LLMs to predict heritage values for governance support: Risks, ethics, and policy implications cites this paper.

Using street view images and visual LLMs to predict heritage values for governance support: Risks, ethics, and policy implications Effects of Prompt Length on Domain-specific Tasks for Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T14:53:01.694646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6227975-71eb-4c0d-a249-e3c4486146e8 · inbound

Implicit Framing in Obstetric Counseling Notes: A Grounded LLM Pipeline on a VBAC-Eligible Cohort cites this paper.

Implicit Framing in Obstetric Counseling Notes: A Grounded LLM Pipeline on a VBAC-Eligible Cohort Effects of Prompt Length on Domain-specific Tasks for Large Language Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:36:13.457524Z

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.

Observation 3e8a07b1-fcc3-4f5a-a30c-e363e0be106b · inbound

MuMuTestUp: Mutation-based Multi-Agent Test Case Update cites this paper.

MuMuTestUp: Mutation-based Multi-Agent Test Case Update Effects of Prompt Length on Domain-specific Tasks for Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:08:05.327485Z

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.

Observation 1e19264e-001d-4bb8-9396-c3d2756fa64f · inbound

Asking Questions the Right Way: A Multi-Agent Conversational System for Prompt Formulation in Complex Task Resolution cites this paper.

Asking Questions the Right Way: A Multi-Agent Conversational System for Prompt Formulation in Complex Task Resolution Effects of Prompt Length on Domain-specific Tasks for Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T00:20:37.179373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.