Paper Citation Record · LEDGER

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach

As of 10 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2506.15512.

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

pith.paper-citation-record.v1
2506.15512 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:58:43.712544Z

measured 17 of 17 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 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

17 of 17 outbound references displayed

verified exact3
verified fuzzy13
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f14c3a7b-428f-4975-b6dc-86ba544ce7f8 · outbound

This paper cites GPTEval: A Survey on Assessments of ChatGPT and GPT-4.

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach GPTEval: A Survey on Assessments of ChatGPT and GPT-4

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:58:45.430755Z

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 79148646-7e49-463a-bae6-ed044e3f1f5e · outbound

This paper cites A Ge neral Approach to Website Question Answering with Large Language Models,.

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach A Ge neral Approach to Website Question Answering with Large Language Models,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:47.893087Z

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 58d56c32-b18f-4a4e-b78e-e5c196e90923 · outbound

This paper cites Adapti ng LLMs for Efficient, Personalized Information Retrieval: Methods and Implications,.

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach Adapti ng LLMs for Efficient, Personalized Information Retrieval: Methods and Implications,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:47.680294Z

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 857e5e2d-3c1d-4534-a6c4-c712dc0ec7fa · outbound

This paper cites Comparative Analysis of Retrieval Systems in the Real World.

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach Comparative Analysis of Retrieval Systems in the Real World

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:58:45.142994Z

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 1cd767d8-d529-43d7-9038-903e4622b573 · outbound

This paper cites Towards mitigating LLM hallucination via self- reflection,.

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach Towards mitigating LLM hallucination via self- reflection,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:47.452806Z

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 af31926c-5416-4ee3-befe-76e55560be83 · outbound

This paper cites Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation.

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:42.740792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2fb241e-8748-457a-bd4b-555684650d2e · outbound

This paper cites E nhancing intention predicti on and interpretability in service robots with LLM and KG,.

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach E nhancing intention predicti on and interpretability in service robots with LLM and KG,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:47.283501Z

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 c3a3db28-7c45-456c-8b69-2ecf1c4ad527 · outbound

This paper cites Cross-Data Knowledge Graph Construction for LLM-enabled Educational Question- Answering System: A Case Study at HCMUT,.

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach Cross-Data Knowledge Graph Construction for LLM-enabled Educational Question- Answering System: A Case Study at HCMUT,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:47.066725Z

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 641049e1-b870-4fea-972b-fce816ada6ec · outbound

This paper cites Benchmarking OpenAI’s APIs and other Large Language Models for Repeatable and Efficient Question Answ ering Across Multiple Documents,.

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach Benchmarking OpenAI’s APIs and other Large Language Models for Repeatable and Efficient Question Answ ering Across Multiple Documents,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:46.885560Z

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 419995f4-59e4-4380-94e7-285d3ba32a21 · outbound

This paper cites Large language models are zero-shot reasoners,.

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach Large language models are zero-shot reasoners,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:46.705419Z

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 4c79ef83-eb36-49ae-ba89-e45d06cda965 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach Chain-of-thought prompting elicits reasoning in large language models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:46.538423Z

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 4c29c0fe-04d9-4ffd-afdd-0b8941698b02 · outbound

This paper cites Chain-of-Thoughts Prompting with Language Models for Accurate Math Problem-Solving,.

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach Chain-of-Thoughts Prompting with Language Models for Accurate Math Problem-Solving,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:46.388940Z

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 fe7a7a98-f1ad-418f-867e-dd4653449275 · outbound

This paper cites CoT-STS: A Zero Shot Chain-of-Thought Prompting for Semantic Textual Similarity,.

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach CoT-STS: A Zero Shot Chain-of-Thought Prompting for Semantic Textual Similarity,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:46.107065Z

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 2e1ee3ac-08f6-4f7a-a663-959de1570bc1 · outbound

This paper cites Creating large language model applica tions utilizing langchain: A primer on developing llm apps fast,.

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach Creating large language model applica tions utilizing langchain: A primer on developing llm apps fast,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:45.899146Z

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 c9e8c445-9a3a-467d-b895-32632f006465 · outbound

This paper cites Integrating Advanced Language Models and Vector Database for Enhanced AI Query Retrieval in Web Development,.

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach Integrating Advanced Language Models and Vector Database for Enhanced AI Query Retrieval in Web Development,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:45.750196Z

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 ccc4c12f-6ddd-4faa-9dbe-09b28b2e2285 · outbound

This paper cites Combining Cognitive and Generative AI for Self-explanation in Interactive AI Agents.

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach Combining Cognitive and Generative AI for Self-explanation in Interactive AI Agents

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:58:43.937104Z

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 b4ba863c-4e6f-4309-959d-cf01fa304cf2 · outbound

This paper cites Implementation and evaluation of an additional GPT-4-based reviewer in PRISMA-based medical systematic literature reviews,.

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach Implementation and evaluation of an additional GPT-4-based reviewer in PRISMA-based medical systematic literature reviews,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:45.600400Z

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.

Pith citing papers

No inbound Pith citation observations are available.