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Paper Citation Record · LEDGER

PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 55 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 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 55 of 55 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:42:31.508906Z

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T05:10:25.171044Z digest=sha256:01a784bb01c9458ac3ee2d8488bddb492a80d51912bfa1e8364b4335a3f818eb

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T18:50:40.378720Z digest=sha256:73b727a6da3728b7c8da4a0d653daffb85139e3fbf8b2c7129c956ab82c210bb

Observation 32973430-9df0-4b51-8395-2be737200a38 · inbound

SynthLens: Visual Analytics for Facilitating Multi-step Synthetic Route Design cites this paper.

SynthLens: Visual Analytics for Facilitating Multi-step Synthetic Route Design PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T05:08:42.026841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:08:42.026841Z digest=sha256:17bc9313143a175f61e746d0e7ea2a5eb0fa62d56591f2e17fb41a769fee9dbd

Observation 4a3c12ba-0330-4d8c-b723-991338ed7282 · inbound

VISION: A Modular AI Assistant for Natural Human-Instrument Interaction at Scientific User Facilities cites this paper.

VISION: A Modular AI Assistant for Natural Human-Instrument Interaction at Scientific User Facilities PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T05:02:00.953288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:02:00.953288Z digest=sha256:3e6cfc797c70d0d2342c3263e0210f4c1bfbf248eba5a15fa55adf237ea625ed

Observation a6302a04-7e35-4184-ac23-0c5bc906c2b4 · inbound

Aviary: training language agents on challenging scientific tasks cites this paper.

Aviary: training language agents on challenging scientific tasks PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T23:07:33.578665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:33.578665Z digest=sha256:06b5ee914be7d6917d0d54fcfe13d04692ae7b644a50c17c86bafdba7a0134d6

Observation c0ca2436-f775-4333-a92a-cdf5777354af · inbound

ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrieval cites this paper.

ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrieval PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T14:32:37.942723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:32:37.942723Z digest=sha256:9f8a76cdc6e522ab9243b5cebc5b4d9f419cf65b8d20e2b05ca289a087d5b5e1

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:0f4266eb75b858673ddb557be7ad3cf930c954068e19739016917deea2bce66b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T02:18:27.204122Z digest=sha256:c44a1bb9c9a9c302787fad80c399b7e9e639ff6e51d981e7677866a88e2dd714

Observation 966e81ee-92b9-4691-97dd-889f08f95a75 · inbound

Making Sense of Data in the Wild: Data Analysis Automation at Scale cites this paper.

Making Sense of Data in the Wild: Data Analysis Automation at Scale PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 168

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:51.899890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:51.899890Z digest=sha256:ad0dfe751ac1622e114317d4cc38d3c80b4277badace8e6653454094d6cbb199

Observation 0b0a8082-d567-41c1-934b-571634c7e42b · inbound

WindVE: Collaborative CPU-NPU Vector Embedding cites this paper.

WindVE: Collaborative CPU-NPU Vector Embedding PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T11:42:31.508906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:31.508906Z digest=sha256:f747b7839a3d9acb7a2e3512a4617412b2a8f45f8280791c6f72424f3b2418c3

Observation 1bc10629-4b32-4258-827e-b98c2c32d05c · inbound

Spark: A System for Scientifically Creative Idea Generation cites this paper.

Spark: A System for Scientifically Creative Idea Generation PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-16T10:14:50.359732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:14:50.359732Z digest=sha256:0c4d476adf0ebdd4245e367e26cd474603388bed2e37e6f9ff0e6737a37223da

Observation 7f8636ac-05b0-406a-9643-49537aa655cc · inbound

HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights cites this paper.

HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T23:24:46.578684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:24:46.578684Z digest=sha256:33b53242283d1cfe1585f2a9c7971d52830b4c043d0077963e56c3555f71aee6

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-22T14:43:19.221814Z digest=sha256:9455c0731315526cd10c549d71c060c63067b8789a0d763fde496efc23feb37b

Observation a2e89c30-85a1-4549-b8a2-9b7a7c214eb0 · inbound

Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation cites this paper.

Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T20:50:57.365783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:57.365783Z digest=sha256:159762a9e735c06f80215e45592b45762b60a01ff39b065ccb08948a7f5551e2

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.

source=arxiv_source observed=2026-08-07T15:35:44.171915Z digest=sha256:cd19875ad3dced25c149f3e65db29a4446e89186e184d8821f208bc68901872a

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.

source=pdf_text observed=2026-08-07T14:38:03.284936Z digest=sha256:300804063d9490e8669736693e1b316182fe22de65111b250518c858eb733f4b

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.

source=pdf_text observed=2026-08-07T12:20:44.552368Z digest=sha256:1142c0c16c851db8da91a14fcdd44ac58cfed156f5110a038d4b2a40a200ceb0

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.

source=arxiv_source observed=2026-08-07T10:27:36.780129Z digest=sha256:9d7825452f874decf11c689ecdeea5ab13074cbef2aba764386f5bdaa43413d8

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.

source=pdf_text observed=2026-08-07T06:00:19.453993Z digest=sha256:abcaf9c4a456fa5d732a88a1c66d6cb1f972ed0f0cd6ac19cc7f77bb0ae1a2af

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.

source=pdf_text observed=2026-08-06T17:34:29.994737Z digest=sha256:6168f56f54dff6af66ff1f8e1c116908e30168951b804063766a81a3a6c9abdf

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T23:25:31.174513Z digest=sha256:38c85be33ffa42cedc526c11fa239d868771a9b16d4068decfa71f0b8c2463a5

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.

source=pdf_text observed=2026-08-06T15:41:51.784033Z digest=sha256:8f1d80a886178d83c929740e13a0992960e3e92dabb7bf7adb1d573b5db637e4

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:55:14.818183Z digest=sha256:8f311c63c13645c85b572cdf436dd73b6f0ed11a31ced828b2fbba1b485ed842

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.

source=pdf_text observed=2026-08-06T11:12:15.890214Z digest=sha256:b4368890b9a72dc469d80c1f9760f2269a83d87254cab42866037151e28ab77f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:37:55.971449Z digest=sha256:ed058c325e697e6de77f9152a833681997e7433b484dc7bf27ca15212e0dbfc4

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.

source=pdf_text observed=2026-08-03T14:45:40.928946Z digest=sha256:fb95f0769c3886f3c8b19887b80f3b738eb33b217970059a008cafff1e8cb961

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T12:12:05.837814Z digest=sha256:2bd614d63fb4fb5c3c0b76d3a469bed9cfcd9826c0e939c3d6149058dcafff15

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T17:32:06.864338Z digest=sha256:74ee47e875a74048cd8987ab57c004520547d9cac9fb7eeec5991074557f53fa

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T19:09:52.716545Z digest=sha256:ec650b0aad87a37ad0ae42391150ac893c8f7733cf146851a33ea8d907358c28

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-09T21:09:26.626179Z digest=sha256:b07c767d8aacf3ce9124b7b043a55e685d8dca3159cc3494b4a3c8d44a7119f8

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

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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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-07T14:37:48.165452Z digest=sha256:d20fc7b26cd3ed70f0bd2ef2d525eb10a4e9510390308477329d61e7ccbd8b81

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-08T17:28:41.217810Z digest=sha256:5b4c881c28086408b709cd0c540c20dff84b026df9d2c82f60d0cecfb73410cf

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-21T00:13:07.546472Z digest=sha256:a4c92d6ab9722e47c717a23821c913729d6471ad951e2fd85d637811c4593df5

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-11T01:26:47.595917Z digest=sha256:8e8fa40f5adcdedfe211881f2375eb70a10bbcc4f51a4385ec4c1e556ccbb89d

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

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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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-20T22:27:32.898710Z digest=sha256:595170145174f5576dd1c82a4200d6468c2e6a8841b65636f3148c419fe42177

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T23:02:18.961663Z digest=sha256:c20ecaac08c56711797ddf07ef7e07f70374d8dcc68ded6ac41b921749ac1998

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-11T02:48:15.074349Z digest=sha256:a14dda4e69698dc2ddbbde0831212e041c88f56462d27490f1d50018f7b39af7

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T02:07:39.648269Z digest=sha256:beb496a288e395cc011b915a53f102800eb92c35a348683b1cda51818b142e68

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T04:12:49.742272Z digest=sha256:aab14be31721313e152b0db0900e57e19a6ce7d379a4e2da09eb1aff7cdb0cbe

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-20T10:40:04.949334Z digest=sha256:ffaf532f303c689193fd221a855f7050a34ba980890f0839b309d433fd35b60b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-20T10:30:50.256635Z digest=sha256:9ac9f5d812a650efaf9b79aee57efcb923f8dbda3acf7b6e3a1808c61d8e0ab3

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.

source=pdf_text observed=2026-08-02T13:43:39.407361Z digest=sha256:2e7932f816801dd723777041eb1a3dfb64b2b5813835318a075402bc8e42c74e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T15:30:46.208758Z digest=sha256:0b20eebef0fcf56462827076d9cfe716ca24c22f148a1bc42071e59dbd478d61

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T07:29:35.013051Z digest=sha256:b26c530215b1f8abd39f8145a922098e2ef5e2555c4a4a225c548a39da0d1b47

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T18:46:16.099080Z digest=sha256:b72c1a4f6e1b48fc0d96e5ed09aa998ae070fceaeaf49ddc3c3f0c1609097360

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-27T20:20:08.996005Z digest=sha256:59830463794ceeb6bb5b28d7f63aba6d8fc679963a3ba4515ac8fbb75dbd5164

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T23:40:53.439549Z digest=sha256:ba91e7c77a5985b87952c004d13d8bfbc20ad7f0e95e828fdfb21829663c8e5e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T18:34:15.845033Z digest=sha256:d1a3d3b859e19e493db49f11c6d8f98931557ba2b3276bbd37023a177cdefa56

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-26T00:13:14.940915Z digest=sha256:e68d89d732f2923efabb51da7b955f0feedf6278946c27b984dacb54a03bb3cf

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.

source=arxiv_source observed=2026-07-12T12:32:39.706055Z digest=sha256:893021b9ccdd1d64d737886c338e56786e34c7d2ef2aa6d470731bcc9734fcda

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T00:51:24.834719Z digest=sha256:51db5c02739c1447d371e1b18b2da337089c445bb0dad5849d8c1213fbf76b05

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T07:18:43.640074Z digest=sha256:1f2d125af328563597f136f780984cd8ad32b0b50e8e3163bf57ea297145a7b0

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.

source=pdf_text observed=2026-08-02T11:06:38.724748Z digest=sha256:b43a69d603ebd5c916058058f1c35715b632e745a7af54bb3271308f0764805f

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.

source=arxiv_source observed=2026-08-01T03:56:19.526420Z digest=sha256:b5f3647bae633ab9cbc51f4c9a72841c01e5911f901bbc88978ea5497af9ca99

Observation 20b53561-cd31-45df-a79e-1075dc16da3b · inbound

LitTraceQA: A Benchmark for Multi-Stage Grounding and Verification in Scientific Question Answering cites this paper.

LitTraceQA: A Benchmark for Multi-Stage Grounding and Verification in Scientific Question Answering PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T14:30:54.559909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:30:54.559909Z digest=sha256:0a38aef84c59347b07620127e7979764a8a6ebe980495ac7856652ffc9a166ca