Paper Citation Record · LEDGER

SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation

As of 8 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 8 inbound Pith citation observations for arXiv:2506.12689.

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

pith.paper-citation-record.v1
2506.12689 v2

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:48:48.922727Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:25:16.395119Z

measured 0 of 1 external citation measurements

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

Observation 6c17fbc8-3ed5-40e4-847e-051ff1e5d326 · outbound

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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.