Paper Citation Record · LEDGER

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery

As of 15 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2605.10224.

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

pith.paper-citation-record.v1
2605.10224 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T03:40:35.629933Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T15:12:55.669868Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

verified exact11
verified fuzzy17
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 25f17683-4f2e-4e32-be2e-945a8109b509 · outbound

This paper cites Hutchinson.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery Hutchinson

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:36:46.692450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation df4b08eb-bec2-4f23-8611-3373e3fb3680 · outbound

This paper cites University of Chicago Press.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery University of Chicago Press

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:36:46.658030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9e45d27c-971c-473f-901a-e4d58d3823c2 · outbound

This paper cites Automated Hypothesis Validation with Agentic Sequential Falsifications.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery Automated Hypothesis Validation with Agentic Sequential Falsifications

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:11:23.562448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 93b7ff34-db53-46aa-b74f-96f9d7fb5efd · outbound

This paper cites Bayes-Entropy Collaborative Driven Agents for Research Hypotheses Generation and Optimization.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery Bayes-Entropy Collaborative Driven Agents for Research Hypotheses Generation and Optimization

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:11:23.556943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 08063056-bc7a-42bb-9599-a1e8d88cc768 · outbound

This paper cites Pearson, 4th edition.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery Pearson, 4th edition

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:36:46.635921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1f4c860b-3eb4-4bb2-8241-f656121a32f6 · outbound

This paper cites React: Synergizing reason- ing and acting in language models.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery React: Synergizing reason- ing and acting in language models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:36:46.653709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 39848510-d0c5-4ad5-935c-f4cf8de8b39f · outbound

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

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery Chain-of- thought prompting elicits reasoning in large language models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:36:46.648897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6ae9bb3f-cd5d-4fa8-a5fd-c9a416ed2b83 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery Reflexion: Language agents with verbal reinforcement learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:36:46.666711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 111f0aa5-54ff-40af-8a12-e0b4daa3c717 · outbound

This paper cites Model context protocol specifi- cation.https://modelcontextprotocol.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery Model context protocol specifi- cation.https://modelcontextprotocol

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:36:46.639775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 65d4802a-e350-4119-a123-478fd1526393 · outbound

This paper cites BestAIforresearch: Perplexityvs ChatGPT (2026).https://nesyona.com/ articles/best-ai-for-research.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery BestAIforresearch: Perplexityvs ChatGPT (2026).https://nesyona.com/ articles/best-ai-for-research

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:36:46.662539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 161933e6-c25f-4714-8afd-e603c2cc21a4 · outbound

This paper cites Google deep research vs perplexity vs ChatGPT (2026).

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery Google deep research vs perplexity vs ChatGPT (2026)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:36:46.643863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 93a4792a-25bc-4b12-82d1-373a25962a6a · outbound

This paper cites AI deep research 2026: Perplexity vs ChatGPT vs gemini.https://futurefactors.ai/ ai-deep-research-tools-comparison-2026/.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery AI deep research 2026: Perplexity vs ChatGPT vs gemini.https://futurefactors.ai/ ai-deep-research-tools-comparison-2026/

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:36:46.599389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2ab01f58-c5a0-4b1e-b7f0-3ecf71b45842 · outbound

This paper cites MIT Press.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery MIT Press

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:36:46.604164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b3323dd5-bf1b-455b-a7c6-0e54b61e45ed · outbound

This paper cites Highly accurate protein structure prediction with AlphaFold.Na- ture, 596(7873):583–589.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery Highly accurate protein structure prediction with AlphaFold.Na- ture, 596(7873):583–589

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:36:46.616661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f082c823-d3f4-4287-9542-25e5da4f065c · outbound

This paper cites GEOBIND: Binding Text, Image, and Audio through Satellite Images.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery GEOBIND: Binding Text, Image, and Audio through Satellite Images

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:11:23.520761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ef4f9598-f0d5-475d-9211-02a75d194f25 · outbound

This paper cites Logics for Contravariant Simulations.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery Logics for Contravariant Simulations

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:11:23.549241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e8050c53-ed48-48bf-ab41-071cdd100512 · outbound

This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-12T07:11:23.526187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 75b7774b-7420-4b21-bf65-5b99a8ce7b90 · outbound

This paper cites Deepresearch: Iterative retrieval-reasoning for complex question an- swering.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery Deepresearch: Iterative retrieval-reasoning for complex question an- swering

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:11:23.510019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a2bb167e-4969-4b61-b0c6-adde0a3558a3 · outbound

This paper cites Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:11:23.532070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f8d621a5-c3a9-4083-a894-fa8c8c595816 · outbound

This paper cites Autodiscovery: Open-ended scientific discovery via bayesian surprise.arXiv preprint arXiv:2507.00310.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery Autodiscovery: Open-ended scientific discovery via bayesian surprise.arXiv preprint arXiv:2507.00310

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:11:23.537603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 47886eb8-eb11-4334-bea7-40dfa03fb0e2 · outbound

This paper cites FEVER: A large-scale dataset for fact ex- traction and VERification.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery FEVER: A large-scale dataset for fact ex- traction and VERification

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:36:46.624679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 72d6cb36-28ce-4009-95ba-f83dc70223c4 · outbound

This paper cites HotpotQA: A dataset for diverse, ex- plainable multi-hop question answering.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery HotpotQA: A dataset for diverse, ex- plainable multi-hop question answering

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:36:46.620646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b56ce71d-e71e-4abe-a51e-976a2b6c2beb · outbound

This paper cites A sur- vey on knowledge graphs: Representation, acquisition, and applications.IEEE Trans- actions on Neural Networks and Learning Systems, 33(2):494–514.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery A sur- vey on knowledge graphs: Representation, acquisition, and applications.IEEE Trans- actions on Neural Networks and Learning Systems, 33(2):494–514

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:36:46.612528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ddcba892-d5f5-4649-b364-d8f10dfe282f · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery Retrieval-augmented generation for knowledge-intensive NLP tasks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:36:46.608376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2e56d6cb-5dd3-4a03-bd63-b4ec994cbfa8 · outbound

This paper cites Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-12T14:15:11.779838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f4a66c8c-63d8-4dfe-8818-450ffb6e6978 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery WebGPT: Browser-assisted question-answering with human feedback

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-12T07:11:23.502393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 952d3653-48f6-4ae0-b69d-bb671aa6e8cb · outbound

This paper cites Cambridge Univer- sity Press.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery Cambridge Univer- sity Press

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:36:46.631812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 29c4c190-72d3-4d7f-8a59-1b5a180dd238 · outbound

This paper cites Passage Re-ranking with BERT.

Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery Passage Re-ranking with BERT

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-12T07:11:23.544230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation d3545cc0-fdf7-48c6-b935-0e01a5557a62 · inbound

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents cites this paper.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.669868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.