{"id":"https://openalex.org/W7168248154","doi":"https://doi.org/10.48550/arxiv.2607.10144","title":"IdeaTrail: Full-Process Agent Trajectories for Scientific Ideation","display_name":"IdeaTrail: Full-Process Agent Trajectories for Scientific Ideation","publication_year":2026,"publication_date":"2026-07-11","ids":{"openalex":"https://openalex.org/W7168248154","doi":"https://doi.org/10.48550/arxiv.2607.10144"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2607.10144","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2607.10144","pdf_url":"https://arxiv.org/pdf/2607.10144","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2607.10144","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101310365","display_name":"Hengquan Guo","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Guo, Hengquan","raw_affiliation_strings":["University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5101310365"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12648","display_name":"Academic Writing and Publishing","score":0.14830000698566437,"subfield":{"id":"https://openalex.org/subfields/1207","display_name":"History and Philosophy of Science"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12648","display_name":"Academic Writing and Publishing","score":0.14830000698566437,"subfield":{"id":"https://openalex.org/subfields/1207","display_name":"History and Philosophy of Science"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13904","display_name":"Artificial Intelligence Applications","score":0.06629999727010727,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14185","display_name":"Research, Science, and Academia","score":0.0658000037074089,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/evidence-collection","display_name":"evidence collection","score":0.5019999742507935},{"id":"https://openalex.org/keywords/concept-selection","display_name":"concept selection","score":0.5830000042915344},{"id":"https://openalex.org/keywords/brainstorming","display_name":"brainstorming","score":0.46700000762939453}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7121000289916992},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6662999987602234},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.6365000009536743},{"id":"https://openalex.org/C170477896","wikidata":"https://www.wikidata.org/wiki/Q17039022","display_name":"Ideation","level":2,"score":0.6201000213623047},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5710999965667725},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5658000111579895},{"id":"https://openalex.org/C2984917352","wikidata":"https://www.wikidata.org/wiki/Q12772819","display_name":"Scientific discovery","level":2,"score":0.5523999929428101},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.49880000948905945},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4909000098705292},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.39070001244544983},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.3855000138282776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36550000309944153},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.3578000068664551},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.33899998664855957},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C182449105","wikidata":"https://www.wikidata.org/wiki/Q3099732","display_name":"Technical report","level":2,"score":0.2888000011444092},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2858000099658966},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C23213167","wikidata":"https://www.wikidata.org/wiki/Q2351730","display_name":"Scientific progress","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.2655999958515167},{"id":"https://openalex.org/C195732255","wikidata":"https://www.wikidata.org/wiki/Q981008","display_name":"Sociology of scientific knowledge","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C2781083858","wikidata":"https://www.wikidata.org/wiki/Q17327049","display_name":"Scientific literature","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26109999418258667},{"id":"https://openalex.org/C124056412","wikidata":"https://www.wikidata.org/wiki/Q3320364","display_name":"Scientific evidence","level":2,"score":0.2549999952316284}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2607.10144","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2607.10144","pdf_url":"https://arxiv.org/pdf/2607.10144","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2607.10144","doi":"https://doi.org/10.48550/arxiv.2607.10144","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.10144","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2607.10144","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2607.10144","pdf_url":"https://arxiv.org/pdf/2607.10144","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7168248154.pdf","grobid_xml":"https://content.openalex.org/works/W7168248154.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7223104971","https://openalex.org/W7220673753","https://openalex.org/W4403579374","https://openalex.org/W7158429652","https://openalex.org/W4416186453","https://openalex.org/W4414808567","https://openalex.org/W7103980123","https://openalex.org/W7202288391","https://openalex.org/W7147148365","https://openalex.org/W7220909814"],"abstract_inverted_index":{"Scientific":[0],"ideation":[1,52],"unfolds":[2],"over":[3],"multiple":[4],"stages,":[5],"including":[6],"literature":[7],"search,":[8],"paper":[9],"reading,":[10],"tool":[11,74],"use,":[12,75,142],"claim":[13],"checking,":[14],"cross-paper":[15],"synthesis,":[16],"brainstorming,":[17],"rejection":[18],"of":[19,46,102,147],"weak":[20],"directions,":[21],"and":[22,53,80,89,105,122,143,156],"iterative":[23],"writing.":[24],"Yet":[25],"most":[26],"existing":[27],"resources":[28],"capture":[29],"isolated":[30],"components":[31],"or":[32,69],"final":[33],"artifacts":[34,91,136],"rather":[35],"than":[36],"the":[37,99,109,112,139],"process":[38,61,154],"connecting":[39],"them.":[40],"We":[41],"introduce":[42],"IdeaTrail,":[43],"a":[44,59,93,157],"dataset":[45],"1,170":[47],"multi-turn":[48],"trajectories":[49,131],"for":[50,160],"scientific":[51,135],"proposal":[54,70,90],"generation.":[55],"Each":[56],"trajectory":[57],"follows":[58],"research":[60,87,148],"from":[62,85,124],"evidence":[63,141],"gathering":[64],"to":[65,116],"either":[66],"idea":[67],"selection":[68],"construction,":[71],"jointly":[72],"recording":[73],"acquired":[76],"evidence,":[77],"intermediate":[78],"artifacts,":[79],"reasoning.":[81],"IdeaTrail":[82,150],"is":[83],"synthesized":[84],"human-selected":[86],"papers":[88],"through":[92],"Generator--Advisor":[94],"loop.":[95],"The":[96],"Generator":[97],"produces":[98],"visible":[100],"sequence":[101],"actions,":[103],"observations,":[104],"artifact":[106],"edits,":[107],"while":[108,137],"Advisor":[110],"uses":[111],"full":[113],"generation":[114],"context":[115],"check":[117],"grounding,":[118],"causal":[119],"order,":[120],"naturalness,":[121],"leakage":[123],"hidden":[125],"targets.":[126],"This":[127],"reverse-to-forward":[128],"design":[129],"keeps":[130],"aligned":[132],"with":[133],"real":[134],"retaining":[138],"uncertainty,":[140],"staged":[144],"convergence":[145],"characteristic":[146],"practice.":[149],"provides":[151],"both":[152],"reusable":[153],"supervision":[155],"general":[158],"recipe":[159],"constructing":[161],"scientific-research-agent":[162],"data.":[163]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-07-15T00:00:00"}