Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:48:48.922727Z
Paper Citation Record · LEDGER
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation
As of 18 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 9 inbound Pith citation observations for arXiv:2506.12689.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:31:23.816102Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T03:39:30.157192Z
Reference resolution
56 of 56 outbound references displayed
- verified exact0
- verified fuzzy22
- unresolved33
- parse uncertain1
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4dceb13d-b872-4e9a-8bd0-860ee8c9ed68 · outbound
This paper cites Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:55.125645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a7aa45c4-02ce-42db-b95b-5ba98a9c58a2 · outbound
This paper cites Autosurvey: Large language models can automatically write surveys.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Autosurvey: Large language models can automatically write surveys
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:43.152945Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0a4f52a-51bf-4992-9aca-634b2fdc650e · outbound
This paper cites Deep reinforcement learning: A survey.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Deep reinforcement learning: A survey
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:54.883834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 566e8994-46be-4007-b06e-b1316194723d · outbound
This paper cites A survey on large language models: Applications, challenges, limitations, and practical usage.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation A survey on large language models: Applications, challenges, limitations, and practical usage
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:43.359978Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f511dfde-57c0-4e0a-8fc0-c4653f2884cf · outbound
This paper cites A survey on large language model based autonomous agents.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation A survey on large language model based autonomous agents
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:43.480494Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9e8edbd-e0d7-42ad-8137-cafb7bbb7c64 · outbound
This paper cites GPT-4o System Card.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation GPT-4o System Card
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:43.628517Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f08b4e2-590d-4b3c-b131-b0937e7b3c6e · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Gemini: A Family of Highly Capable Multimodal Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:43.746394Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6385fb7-daac-4764-a1f4-89cca97e1ed8 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:43.877744Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a4ba309d-8e0e-4879-8a6d-ebce417a8059 · outbound
This paper cites Qwen3 Technical Report.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Qwen3 Technical Report
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:43.975368Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a965e07e-8a4f-452d-a75a-1d7e106ff881 · outbound
This paper cites Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:44.102860Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f271e5d6-0a84-48b6-821c-b900948cf944 · outbound
This paper cites Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:44.177037Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9adacc2-cd03-4ac7-a2e8-21139493983b · outbound
This paper cites LLM$\times$MapReduce-V2: Entropy-Driven Convolutional Test-Time Scaling for Generating Long-Form Articles from Extremely Long Resources.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation LLM$\times$MapReduce-V2: Entropy-Driven Convolutional Test-Time Scaling for Generating Long-Form Articles from Extremely Long Resources
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:44.287304Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f8ae3be-f29d-4781-a686-da2b649094cf · outbound
This paper cites Reflexion: Language agents with verbal reinforcement learning.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Reflexion: Language agents with verbal reinforcement learning
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:44.392498Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d642446-65dd-4883-ac87-25daf94cdd3b · outbound
This paper cites Self-rag: Learning to retrieve, gener- ate, and critique through self-reflection.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Self-rag: Learning to retrieve, gener- ate, and critique through self-reflection
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:54.675141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8765105a-35da-4500-9b55-1965900a170a · outbound
This paper cites Self-Reflection in LLM Agents: Effects on Problem-Solving Performance.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Self-Reflection in LLM Agents: Effects on Problem-Solving Performance
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:44.590766Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f88c159-cfd3-40b2-9644-4ed5e7a3f11f · outbound
This paper cites OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:44.731916Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c437b15c-6237-487f-a9f8-fd38d82107a5 · outbound
This paper cites SurveyForge: On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation SurveyForge: On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:44.879565Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d2161a6-ced9-49cc-a9ff-b1636fe57ef2 · outbound
This paper cites InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation System.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation System
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:44.994539Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26c3b9a4-54a6-43fd-a449-13b9311e462c · outbound
This paper cites Introducing deep research, 2024.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Introducing deep research, 2024
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:54.467915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0cc143f3-8a0c-4f01-9d03-8877057927ef · outbound
This paper cites Gemini deep research overview, 2024.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Gemini deep research overview, 2024
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:54.195720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation beb58428-fcda-4609-bf33-cf96781a2dc8 · outbound
This paper cites A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:45.335644Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71125da4-086f-4baa-9323-24460cb6d6f7 · outbound
This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Large Language Model based Multi-Agents: A Survey of Progress and Challenges
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:45.454773Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d27a019-a596-4f62-b2df-ffa30b8672fb · outbound
This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:45.539277Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3820ebc5-a1c0-41a1-87d1-d0ee7111494b · outbound
This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:45.628679Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd2e424f-ac9c-4982-bb87-5e135a6a8932 · outbound
This paper cites Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:45.763301Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7c0d89c-635d-40bc-96ad-dd9665ce03ae · outbound
This paper cites Generative agents: Interactive simulacra of human behavior.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Generative agents: Interactive simulacra of human behavior
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:45.874337Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aeb0d0be-b9cc-4b36-984b-21875b5737f7 · outbound
This paper cites AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:45.985974Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7bb9c024-4934-4624-befa-a6101f927e7f · outbound
This paper cites ChatDev: Communicative Agents for Software Development.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation ChatDev: Communicative Agents for Software Development
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:46.124222Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 972be171-c09f-400a-978e-8e7357b49945 · outbound
This paper cites A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:46.233678Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1989c9b-ffb0-4517-8af8-5a3af3a4b128 · outbound
This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:46.385707Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2cd9e233-f9d6-4f12-b963-fd1b0e1d8a02 · outbound
This paper cites Improving factuality and reasoning in language models through multiagent debate.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Improving factuality and reasoning in language models through multiagent debate
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:46.480079Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84a205ca-b0ab-42a0-bbab-1b8b1d9d1127 · outbound
This paper cites AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:46.588005Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbbe646f-cf02-40c7-938d-255f8e112d6e · outbound
This paper cites Chatgpt and open-ai models: A preliminary review.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Chatgpt and open-ai models: A preliminary review
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:53.981684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 566b35f9-caeb-4e6b-8d03-74c11e1ab766 · outbound
This paper cites A probabilistic interpretation of precision, recall and f-score, with implication for evaluation.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation A probabilistic interpretation of precision, recall and f-score, with implication for evaluation
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:53.775949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e533e7ad-340b-4dc6-847b-eeab334ba244 · outbound
This paper cites Machine Learning.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Machine Learning
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:53.579842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation de3ac89c-d65f-4e2e-8cc7-30317a420760 · outbound
This paper cites You MUST choose one of the following predefined types: survey, method, application, analysis, position, theory, benchmark, dataset, OTHER.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation You MUST choose one of the following predefined types: survey, method, application, analysis, position, theory, benchmark, dataset, OTHER
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:53.351020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c40776a4-d18b-4a4e-875f-bdd6b5ab9fbe · outbound
This paper cites latest advancements in using LLMs for code generation.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation latest advancements in using LLMs for code generation
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:53.109451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6c17fbc8-3ed5-40e4-847e-051ff1e5d326 · outbound
This paper cites an unresolved cited work.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Unresolved cited work
Reference 38
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-07T00:48:52.896112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ba865ca9-d0bc-4a36-9d67-36f41af50b11 · outbound
This paper cites an unresolved cited work.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:48:52.640813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 699dfd61-e4f9-4ec8-bd77-4461f7f8f4d8 · outbound
This paper cites Based on the following paper title, please complete the two tasks below:.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Based on the following paper title, please complete the two tasks below:
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:52.393870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d10b3f1c-a691-4e0d-ad7d-58220a41a210 · outbound
This paper cites an unresolved cited work.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:48:52.176595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d747485c-6758-4a95-b858-751808265072 · outbound
This paper cites an unresolved cited work.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:48:51.944990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d6d3e6b3-1672-40f4-994d-1e9bca245250 · outbound
This paper cites an unresolved cited work.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:48:51.737747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a3d8c958-15bc-407a-ac8b-72f83aad01f5 · outbound
This paper cites an unresolved cited work.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:48:51.518479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a7c7b1a4-8226-4fd3-9d89-94e02b3cfc21 · outbound
This paper cites an unresolved cited work.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:48:51.359134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d97e9720-35e9-4f1a-91e0-5b1cd2aa6952 · outbound
This paper cites Now I want to gain a comprehensive overview of the current research hotspots across the field.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Now I want to gain a comprehensive overview of the current research hotspots across the field
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:51.148620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6a1a6a2e-44f2-4aaf-a931-5c8d442c4f8b · outbound
This paper cites Uses precise terminology consistently, avoids colloquial language entirely, and maintains a scholarly tone throughout.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Uses precise terminology consistently, avoids colloquial language entirely, and maintains a scholarly tone throughout
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:50.941632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7d7d5b69-b588-4331-a72c-b34d8be019ff · outbound
This paper cites Sentences are logically structured with seamless transitions.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Sentences are logically structured with seamless transitions
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:50.718603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f4351e54-69b7-47a9-8e8d-04948628b449 · outbound
This paper cites Repetition is only acceptable for structural clarity, such as reinforcing terminology or aiding transitions.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Repetition is only acceptable for structural clarity, such as reinforcing terminology or aiding transitions
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:50.575656Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 631487ba-a7bb-4ab1-be15-5ff3d6ed45f5 · outbound
This paper cites Clearly identifies significant gaps, weaknesses, and areas for improvement.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Clearly identifies significant gaps, weaknesses, and areas for improvement
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:50.381748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6ece0e27-0dac-46c5-b5a1-c31ddf39a6bc · outbound
This paper cites Demon- strates strong subject-matter understanding and contributes genuinely original perspectives.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Demon- strates strong subject-matter understanding and contributes genuinely original perspectives
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:50.177316Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a160b4a1-236b-479b-9506-c6ef8ebc5d87 · outbound
This paper cites Suggestions are concrete, actionable, and closely tied to gaps identified in the literature.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Suggestions are concrete, actionable, and closely tied to gaps identified in the literature
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:49.988192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0551abcb-730b-43c5-a821-0d47879e733b · outbound
This paper cites Sections and subsections are clearly organized, transitions are smooth, and the narrative progression is coherent.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Sections and subsections are clearly organized, transitions are smooth, and the narrative progression is coherent
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:49.805595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d7639412-f28a-4ac4-95ca-afdaf7e3c4ba · outbound
This paper cites There is a balance of breadth and depth, with core debates and historical development of the field clearly reflected.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation There is a balance of breadth and depth, with core debates and historical development of the field clearly reflected
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:49.646144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3b90b827-88ba-4702-901e-bf35496fab31 · outbound
This paper cites It synthesizes viewpoints into a coherent scholarly vision.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation It synthesizes viewpoints into a coherent scholarly vision
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:49.420112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 988233c3-2977-4ee6-8767-2bd90bcef0be · outbound
This paper cites SurveyScope exhibits broader and more balanced domain coverage.
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation SurveyScope exhibits broader and more balanced domain coverage
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:48:49.214372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
Observation 0178a7e0-9bd8-42d8-b575-b85e8443e18e · inbound
DeepSurvey-Bench: Evaluating Academic Value of Automatically Generated Scientific Surveys cites this paper.
DeepSurvey-Bench: Evaluating Academic Value of Automatically Generated Scientific Surveys SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T06:25:16.395119Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03b9fc20-48de-4789-bc64-72fc6e6660a9 · inbound
SurveyLens: A Discipline-Aware Benchmark for Automatic Survey Generation cites this paper.
SurveyLens: A Discipline-Aware Benchmark for Automatic Survey Generation SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:57:05.055563Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ed604ea-ccbf-499b-bc37-31b4e1cc97a5 · inbound
Paper Circle: An Open-source Multi-agent Research Discovery and Analysis Framework cites this paper.
Paper Circle: An Open-source Multi-agent Research Discovery and Analysis Framework SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:20:53.535880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation abda4cb9-43aa-4eaa-b7dc-bb20fbe47534 · inbound
AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery cites this paper.
AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T04:50:21.905251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b0e571be-21cb-4a0f-bb99-65cc474d4614 · inbound
DeepSurvey: Enhancing Analytical Depth and Citation Reliability in Automated Survey Generation cites this paper.
DeepSurvey: Enhancing Analytical Depth and Citation Reliability in Automated Survey Generation SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T07:13:16.211986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c372d4c0-4d96-407d-b529-2be1ad5bf86a · inbound
Externalizing Research Synthesis and Validation in AI Scientists through a Research Harness cites this paper.
Externalizing Research Synthesis and Validation in AI Scientists through a Research Harness SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T00:19:13.930508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6e6d73b1-5f6f-402c-8d75-c5da9520281b · inbound
Externalizing Research Synthesis and Validation in AI Scientists through a Research Harness cites this paper.
Externalizing Research Synthesis and Validation in AI Scientists through a Research Harness SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T10:58:01.327736Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a285e68b-1a87-4dca-aad6-76543b474b42 · inbound
ScaffoldAgent: Utility-Guided Dynamic Outline Optimization for Open-Ended Deep Research cites this paper.
ScaffoldAgent: Utility-Guided Dynamic Outline Optimization for Open-Ended Deep Research SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T03:39:30.159086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c0f0c7a2-0c72-4bb1-a593-625530128592 · inbound
SurveyReview: A Reviewer-Aligned Benchmark for Survey Evaluators cites this paper.
SurveyReview: A Reviewer-Aligned Benchmark for Survey Evaluators SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:31:23.816102Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.