Paper Citation Record · LEDGER

PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 45 inbound Pith citation observations for arXiv:2312.07559.

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

pith.paper-citation-record.v1
2312.07559 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 45 of 45 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 45 of 45 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:35:44.171915Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

52
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4f95880c-83a7-4b17-a56b-99a18f0a6350 · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-24T05:13:57.005109Z

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 65074474-94e3-48f2-a5ef-778bee4660e3 · inbound

In Context Learning and Reasoning for Symbolic Regression with Large Language Models cites this paper.

In Context Learning and Reasoning for Symbolic Regression with Large Language Models PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:53:21.097485Z

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 5081a730-76b5-4983-9dd5-d8c057e8a1b9 · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:32:33.293021Z

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 37472bf7-d708-4ed4-8380-1aca462acc57 · inbound

Supervising the search process produces reliable and generalizable information-seeking agents cites this paper.

Supervising the search process produces reliable and generalizable information-seeking agents PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:22:25.386606Z

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 a4b6c8f7-c663-46af-a879-ffad90f5bca7 · inbound

XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration cites this paper.

XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:44:55.166540Z

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 a58a1df5-fa8b-4564-81cc-b1a410462f83 · inbound

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models cites this paper.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.171915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 728a4fef-ddf4-494e-a76b-bf7c2b42ec42 · inbound

Single-agent or Multi-agent Systems? Why Not Both? cites this paper.

Single-agent or Multi-agent Systems? Why Not Both? PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:38:03.284936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e71d6dcf-1794-45a6-8881-30706222e167 · inbound

EXP-Bench: Can AI Conduct AI Research Experiments? cites this paper.

EXP-Bench: Can AI Conduct AI Research Experiments? PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T12:20:44.552368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceea8abd-ef3f-44d3-881e-21f998c2e107 · inbound

On the Comprehensibility of Multi-structured Financial Documents using LLMs and Pre-processing Tools cites this paper.

On the Comprehensibility of Multi-structured Financial Documents using LLMs and Pre-processing Tools PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:36.780129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fec61084-7634-407c-97d2-09d132ee4d14 · inbound

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey cites this paper.

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:19.453993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03c2cddd-d405-4d9a-a940-c0d0cf0730e3 · inbound

DeepResearch$^{\text{Eco}}$: A Recursive Agentic Workflow for Complex Scientific Question Answering in Ecology cites this paper.

DeepResearch$^{\text{Eco}}$: A Recursive Agentic Workflow for Complex Scientific Question Answering in Ecology PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:34:29.994737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94f787ff-e637-4978-9e50-e66e97f21d13 · inbound

Diverse LLMs or Diverse Question Interpretations? That is the Ensembling Question cites this paper.

Diverse LLMs or Diverse Question Interpretations? That is the Ensembling Question PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T23:25:45.151726Z

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 30617272-5b5b-4fd2-aae0-ce1126120ec5 · inbound

Reading Between the Timelines: RAG for Answering Diachronic Questions cites this paper.

Reading Between the Timelines: RAG for Answering Diachronic Questions PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T15:41:51.784033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb18634d-87c8-4c38-8707-df63b7c84292 · inbound

How Far Are AI Scientists from Changing the World? cites this paper.

How Far Are AI Scientists from Changing the World? PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:14.818183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bb55385-2823-4ffc-9f8d-d234aa0c19d0 · inbound

Open-Source Agentic Hybrid RAG Framework for Scientific Literature Review cites this paper.

Open-Source Agentic Hybrid RAG Framework for Scientific Literature Review PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:15.890214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ef4e293-29ca-496e-8ecd-99a0ac550be9 · inbound

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models cites this paper.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:55.971449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d195cb44-3d54-4fef-9a66-5c52cc5c1e1f · inbound

VASP Agent: An Agentic Framework for Autonomous First-principles Calculations cites this paper.

VASP Agent: An Agentic Framework for Autonomous First-principles Calculations PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T14:45:40.928946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9772702c-b0f4-4491-ab12-e9840e4abf34 · inbound

Multi-Dimensional Knowledge Profiling with Large-Scale Literature Database and Hierarchical Retrieval cites this paper.

Multi-Dimensional Knowledge Profiling with Large-Scale Literature Database and Hierarchical Retrieval PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:12:51.156947Z

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 ef409306-edbd-4473-a191-2eef7a76748d · inbound

FactReview: Evidence-Grounded Reviews with Literature Positioning and Execution-Based Claim Verification cites this paper.

FactReview: Evidence-Grounded Reviews with Literature Positioning and Execution-Based Claim Verification PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T17:33:02.290698Z

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 187ade78-38e7-4063-8f4f-20afa4e55638 · inbound

Plasma GraphRAG: Physics-Grounded Parameter Selection for Gyrokinetic Simulations cites this paper.

Plasma GraphRAG: Physics-Grounded Parameter Selection for Gyrokinetic Simulations PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:25:51.839784Z

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 ba0d5b4d-8fb4-47c4-b1a1-c53e8a2ad49f · inbound

PaperMind: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs cites this paper.

PaperMind: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:41:54.269387Z

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 d956d90d-007a-4105-9c63-98366d59f4b3 · inbound

RAG over Thinking Traces Can Improve Reasoning Tasks cites this paper.

RAG over Thinking Traces Can Improve Reasoning Tasks PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T00:41:25.371711Z

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 24220d00-3745-4d03-a9d5-3512a3045412 · inbound

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery cites this paper.

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:31:07.928181Z

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 5c2daf95-081f-4395-bbfb-d8225aa4e62e · inbound

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery cites this paper.

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T00:13:52.858437Z

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 6588c3a6-0d14-4aa8-b75d-d56a0667d9cb · inbound

Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale cites this paper.

Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:25:56.460113Z

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 0c70de19-4fae-46c1-b473-055bd37dfbb0 · inbound

Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale cites this paper.

Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T22:29:09.199587Z

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 3784f2af-f459-4cbc-9328-09c6980be63f · inbound

Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale cites this paper.

Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T23:05:07.354686Z

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 de7b5574-81e2-4edc-9527-cd94e1f99f64 · inbound

FAME: Forecasting Academic Impact via Continuous-Time Manifold Evolution cites this paper.

FAME: Forecasting Academic Impact via Continuous-Time Manifold Evolution PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:05:55.199335Z

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 4f0b8870-d0c5-41bc-b62b-4edf35ebf9b4 · inbound

Re$^2$Math: Benchmarking Theorem Retrieval in Research-Level Mathematics cites this paper.

Re$^2$Math: Benchmarking Theorem Retrieval in Research-Level Mathematics PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T02:11:16.047227Z

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 37e3c433-9c48-4992-bc9d-33e5560bd5fc · inbound

NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation cites this paper.

NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:31:27.276216Z

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 51e65b5e-4235-4380-a8ba-f5e1f5677c21 · inbound

Evidence-Grounded Frontier Mapping and Agentic Hypothesis Generation in Nanomedicine cites this paper.

Evidence-Grounded Frontier Mapping and Agentic Hypothesis Generation in Nanomedicine PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:43:12.349095Z

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 7d7af89e-05b8-4e7e-94d1-3e04068a04f2 · inbound

AI for Auto-Research: Roadmap & User Guide cites this paper.

AI for Auto-Research: Roadmap & User Guide PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 128

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:33:12.618461Z

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 76d9c9b9-0d6e-4858-8856-5860a66e2f82 · inbound

AI for Auto-Research: Roadmap & User Guide cites this paper.

AI for Auto-Research: Roadmap & User Guide PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 128

Resolution: unresolved; no resolver link, observed 2026-08-02T13:43:39.407361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd92b5ba-28b6-4b27-b06a-00e797e68668 · inbound

Eliot: Interactively $\underline{E}$xploring Fast-Changing Scientific $\underline{Li}$terature Trends with $\underline{O}$nline Da$\underline{t}$a and Learning cites this paper.

Eliot: Interactively $\underline{E}$xploring Fast-Changing Scientific $\underline{Li}$terature Trends with $\underline{O}$nline Da$\underline{t}$a and Learning PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-29T15:43:32.867396Z

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 8c39775b-20e3-4a04-88c0-dc4f8f8a96a9 · inbound

Compass: Navigating Global Marine Lead Data Integration through Expert-Guided LLM Agent cites this paper.

Compass: Navigating Global Marine Lead Data Integration through Expert-Guided LLM Agent PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:33:13.765450Z

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 36058e1a-aba7-4b3b-becc-ecf5bb6be6e3 · inbound

ForeSci: Evaluating LLM Agents for Forward-Looking AI Research Judgment cites this paper.

ForeSci: Evaluating LLM Agents for Forward-Looking AI Research Judgment PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:52:35.962802Z

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 2bd170a5-8424-4fbd-9a61-b7a86e51a56e · inbound

Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation cites this paper.

Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T20:37:22.670917Z

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 d4e5435f-6dc1-4b52-9063-d13df7b6f26d · inbound

SafeClawBench: Separating Semantic, Audit-Evidence, and Sandbox Harm in Tool-Using LLM Agents cites this paper.

SafeClawBench: Separating Semantic, Audit-Evidence, and Sandbox Harm in Tool-Using LLM Agents PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T22:09:00.227200Z

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 6a238961-e4f4-4a09-84d7-21453ea32c01 · inbound

A Technical Taxonomy of LLM Agent Communication Protocols cites this paper.

A Technical Taxonomy of LLM Agent Communication Protocols PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T03:09:28.734020Z

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 cc0cd239-52fa-4a82-b5ff-4174270df6a4 · inbound

NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers? cites this paper.

NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers? PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:49:57.795739Z

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 3484000b-a205-4f9f-8586-fca6f5c5826b · inbound

NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers? cites this paper.

NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers? PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-12T12:32:39.706055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c1ae19a-6c80-423e-8786-ba3a1a9a12be · inbound

Lacuna: A Research Map for Machine Learning cites this paper.

Lacuna: A Research Map for Machine Learning PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:09:57.427235Z

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 7ad7793b-8998-4ce9-98de-30c22575fe6a · inbound

OrchestrXR: A Multi-Agent System for Idea-to-Prototype XR Study Authoring cites this paper.

OrchestrXR: A Multi-Agent System for Idea-to-Prototype XR Study Authoring PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-03T07:27:43.928981Z

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 785b9a92-9fee-43ad-bdf4-6d70436882fd · inbound

AISE-Bench: A Full-Cycle Curated Benchmark for Information Seeking on Academic Knowledge Graphs cites this paper.

AISE-Bench: A Full-Cycle Curated Benchmark for Information Seeking on Academic Knowledge Graphs PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T11:06:38.724748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91553fed-4bf9-4a6e-8186-16af2be78974 · inbound

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy cites this paper.

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T03:56:19.526420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.