Paper Citation Record · LEDGER

Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models

As of 14 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2607.19257.

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

pith.paper-citation-record.v1
2607.19257 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:01:01.878418Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact1
verified fuzzy0
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4a2461e7-46b9-4203-a1b8-ba5d478b07d1 · outbound

This paper cites U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-Haystack.

Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-Haystack

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T13:01:00.797342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99ceddfb-4a6d-4e68-95d2-79cc50f7e3b4 · outbound

This paper cites trychroma.com/context-rot.

Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models trychroma.com/context-rot

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T13:01:00.981221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c17d24f-a1de-47d9-aa5a-77bf277a5dae · outbound

This paper cites How Many Instructions Can LLMs Follow at Once?.

Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models How Many Instructions Can LLMs Follow at Once?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T13:01:01.121178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baffd155-0b69-48c4-af98-f54c99205614 · outbound

This paper cites Nelson F.

Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models Nelson F

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T13:01:01.198646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 393bd399-8320-483b-9bcd-3a5244edca1c · outbound

This paper cites Jio Oh, Geon Heo, Seungjun Oh, Hyunjin Kim, JinYeong Bak, Jindong Wang, Xing Xie, and Steven Euijong Whang.

Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models Jio Oh, Geon Heo, Seungjun Oh, Hyunjin Kim, JinYeong Bak, Jindong Wang, Xing Xie, and Steven Euijong Whang

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T13:01:01.342266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b0ea08c-1156-4e34-8609-2df6254f4ff8 · outbound

This paper cites Karan Prasad.

Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models Karan Prasad

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T13:01:01.483519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a054cc92-1dfe-4ff8-9d36-d189d04d3418 · outbound

This paper cites Melanie Sclar, Yejin Choi, Yulia Tsvetkov, and Alane Suhr.

Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models Melanie Sclar, Yejin Choi, Yulia Tsvetkov, and Alane Suhr

Reference 12

Resolution: verified exact; doi, observed 2026-08-01T13:04:32.933080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8a6c7e48-a5a8-457c-95de-9d0822855397 · outbound

This paper cites Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting.

Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T13:01:01.724152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f820cc75-3d42-49c6-b3ee-b46b133a1924 · outbound

This paper cites Jeffrey Zhou, Tianjian Lu, Swaroop Mishra, Siddhartha Brahma, Sujoy Basu, Yi Luan, Denny Zhou, and Le Hou.

Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models Jeffrey Zhou, Tianjian Lu, Swaroop Mishra, Siddhartha Brahma, Sujoy Basu, Yi Luan, Denny Zhou, and Le Hou

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T13:01:01.800360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fee8fea-cca2-4db2-836e-2c07ecedef82 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models Instruction-Following Evaluation for Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-01T13:01:01.878418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebc593d1-0bb8-45b7-b291-d2cb003a23c5 · outbound

This paper cites Does Prompt Formatting Have Any Impact on LLM Performance?.

Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T13:01:00.903193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6652b408-21b1-420a-b79b-ac074f61346b · outbound

This paper cites doi:10.1145/3772318.3791915.

Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models doi:10.1145/3772318.3791915

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-01T13:01:01.058855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.