Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-15T08:28:47.531769Z
Paper Citation Record · LEDGER
MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models
As of 3 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2603.19044.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-11T19:11:37.739920Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
16 of 16 outbound references displayed
- verified exact0
- verified fuzzy7
- unresolved6
- parse uncertain0
- malformed identifier1
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation dc073be3-df1a-460c-b0c0-2a144234469e · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T08:29:52.108142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation a791e775-48b8-4723-a344-23b6e5b58918 · outbound
This paper cites Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains.
MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T08:29:52.112524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 19036c7c-b50e-4910-aada-bc66fb9f307e · outbound
This paper cites Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang, Yue Zhang, and Linyi Yang.
MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang, Yue Zhang, and Linyi Yang
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T08:29:52.983277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 515de110-0285-4474-a882-eb8ec047c0e5 · outbound
This paper cites CycleResearcher: Improving Automated Research via Automated Review.
MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models CycleResearcher: Improving Automated Research via Automated Review
Reference 4
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-15T08:29:52.103494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 05a22b1f-6c99-427e-bca4-14afd1c2c995 · outbound
This paper cites an unresolved cited work.
MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T08:29:52.973641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 207b58b7-0be3-4fd8-a58d-7a6115ca907f · outbound
This paper cites an unresolved cited work.
MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T08:29:52.954877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 72a9d75c-96d8-4789-b84f-69ff8dec8909 · outbound
This paper cites Multimodal LLMs show strong multimodal understanding, reasoning, and interaction capabilities.
MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models Multimodal LLMs show strong multimodal understanding, reasoning, and interaction capabilities
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T08:29:52.970780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 39c506d2-49ed-4383-a6e9-fe14a8862778 · outbound
This paper cites an unresolved cited work.
MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T08:29:52.947286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 8eddb8d5-9013-4378-8a90-466213bf5226 · outbound
This paper cites Domain Expert.
MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models Domain Expert
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T08:29:52.980230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 48c13078-a865-4260-8fd1-15051bec71d0 · outbound
This paper cites an unresolved cited work.
MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T08:29:52.957990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 3e6f0dd1-9730-4121-a155-2af9871c82b9 · outbound
This paper cites Hint-Before-Solving.
MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models Hint-Before-Solving
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T08:29:52.960941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 7fb781d0-ada1-471d-988d-9004b8adc3b3 · outbound
This paper cites an unresolved cited work.
MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T08:29:52.976612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 11522879-fd8c-45fc-a61b-cca670f64ddc · outbound
This paper cites • Apply reinforcement learning frameworks such as PPO augmented clearly by detailed success outcomes linked closely with baseline predictions to elevate derived qualitative outputs.
MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models • Apply reinforcement learning frameworks such as PPO augmented clearly by detailed success outcomes linked closely with baseline predictions to elevate derived qualitative outputs
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T08:29:52.986468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 64d6c7c4-4720-4b35-b7e9-028ebfd2057c · outbound
This paper cites • Platform parallel functionality with measures from constructs like STaR experience loops to individually assay sourced plan evaluations validating emergence effects.
MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models • Platform parallel functionality with measures from constructs like STaR experience loops to individually assay sourced plan evaluations validating emergence effects
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T08:29:52.964165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 1874bc5d-0c09-4dc3-8229-7727b6aa6241 · outbound
This paper cites an unresolved cited work.
MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T08:29:52.950450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0f029eb0-3e29-4917-ba4c-cee2535c3d75 · outbound
This paper cites The method must be lightweight — no auxiliary tasks or new data sets — merely using the existing local model parameters.[.
MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models The method must be lightweight — no auxiliary tasks or new data sets — merely using the existing local model parameters.[
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T08:29:52.967192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Pith citing papers
Observation b7af7ab0-ef18-456b-8daf-4be8bcad7f5b · inbound
ResearchStudio-Idea: An Evidence-Grounded Research-Ideation Skill Suite from ML Conference Outcomes cites this paper.
ResearchStudio-Idea: An Evidence-Grounded Research-Ideation Skill Suite from ML Conference Outcomes MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T19:11:37.739920Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.