Pith. sign in

Paper Citation Record · LEDGER

Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2503.08979.

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

pith.paper-citation-record.v1
2503.08979 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:59:33.373618Z

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

13
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 87b0cd32-b274-4db6-95f1-ead57117c393 · inbound

IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery cites this paper.

IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T10:59:33.373618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:59:33.373618Z digest=sha256:fa7620a45afd915e2e34a9ecf812e045e3614559a844eb05c542c432fc8e3e2d

Observation 62952958-f72c-4c96-91dd-9241cd25de67 · inbound

Generative to Agentic AI: Survey, Conceptualization, and Challenges cites this paper.

Generative to Agentic AI: Survey, Conceptualization, and Challenges Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T10:10:24.865846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:10:24.865846Z digest=sha256:ba6a5de7495e7d85dffabdaf2bc50eff92e2fa2080fa193b9d8583b9f6aee0ac

Observation 8936a9f8-635a-4f7c-8d55-aac0e214d8f7 · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:57:38.041513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T02:57:37.873567Z digest=sha256:e8211a20485ca5b14cbb70c88744248bb36e9c83b9279d785265b9811d3342d7

Observation 854bc904-774d-4e2a-8f47-d54bc1d99ed1 · inbound

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions cites this paper.

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T23:45:43.661652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:45:43.661652Z digest=sha256:872bf1bfba3146716005f9125e684f07aa240fe3cb3a293bf128bedbb6a26cf5

Observation 0264c713-3cdc-4436-96ec-2652e63dd585 · inbound

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications cites this paper.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:46.245117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:46.245117Z digest=sha256:4ccde07db1c16df3c5c75dcdce62f58c4b647f57930df9931db8f16e88405a1e

Observation a8acdf7e-9d01-4b86-b006-8bc6d84d5f32 · inbound

A Grassroots Network and Community Roadmap for Interconnected Autonomous Science Laboratories for Accelerated Discovery cites this paper.

A Grassroots Network and Community Roadmap for Interconnected Autonomous Science Laboratories for Accelerated Discovery Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T19:09:03.561586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:09:03.561586Z digest=sha256:2c8155534105aadc10a54301e49c00be734d0980ceb7b7306f7b3cf87e5fe797

Observation 234e949c-fd06-4f4c-8548-5c1b78c5926c · inbound

URSA: The Universal Research and Scientific Agent cites this paper.

URSA: The Universal Research and Scientific Agent Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:22:09.373201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T07:17:43.033909Z digest=sha256:9e0eefc65063aa4f651efb212170233eb2bfd04845d471e18ab1011214dab45f

Observation db8e473e-b600-4e5b-b04b-3673f57626a9 · inbound

AI4Research: A Survey of Artificial Intelligence for Scientific Research cites this paper.

AI4Research: A Survey of Artificial Intelligence for Scientific Research Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 255

Resolution
unresolved
no resolver link, observed 2026-08-06T20:45:12.801206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:45:12.801206Z digest=sha256:3422a5b9165ea9fce56f07219ae0922d8171e4944320dea12098b196497c8c42

Observation 8ecb03ac-a8ef-40f2-86e4-44e511ef0556 · inbound

Automating MD simulations for Proteins using Large language Models: NAMD-Agent cites this paper.

Automating MD simulations for Proteins using Large language Models: NAMD-Agent Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T18:33:51.850776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:33:51.850776Z digest=sha256:194f3b270f5a1efb67d47ffb3a71202bf0421cdbc916b77861bba3350bdbe590

Observation 21b6ad91-9d95-48eb-b446-d1587c4d0b09 · inbound

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

How Far Are AI Scientists from Changing the World? Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T10:55:14.681812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:55:14.681812Z digest=sha256:7dd28a198055764a3f719eae62e6759d73d27cc5dd8247c8495e9ffcd4c4e97d

Observation 511c973b-e6e0-4ba6-ae1a-8898daf71d6b · inbound

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges cites this paper.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T21:02:04.193153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:02:04.193153Z digest=sha256:fffcb32ec2f3a3147e594dd1c9036d04981b093cf2c2df35ccb0e3c4295f1249

Observation 6b8d91f3-24c9-4c25-9829-ff155c080812 · inbound

LLM-based Agentic Reasoning Frameworks: A Survey from Methods to Scenarios cites this paper.

LLM-based Agentic Reasoning Frameworks: A Survey from Methods to Scenarios Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-15T17:04:47.127839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:04:47.127839Z digest=sha256:8a8f8b8da832eabfa4072d637ba6d8ee081747acce64879f40814f9408033140

Observation d2056ae9-d8e5-45bb-ac61-625c518fb8f8 · inbound

GenCellAgent: Generalizable, Training-Free Cellular Image Segmentation via Large Language Model Agents cites this paper.

GenCellAgent: Generalizable, Training-Free Cellular Image Segmentation via Large Language Model Agents Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T07:26:03.502294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-18T07:22:58.072356Z digest=sha256:4cef4fd5008e0928745b0323f20425da15d40b1b75d166e1fab5afe4ac7788a0

Observation 9cbb9c7d-17cf-45e5-afc8-f3be41e45a13 · inbound

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges cites this paper.

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:42:22.469256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-18T03:42:10.703369Z digest=sha256:c277772e861f1c0703a3e82bb48622c3fd2d7d228a48d6bd6bb711188e5f8235

Observation fa1043e6-b500-4bc0-b007-bde966c0b03f · inbound

The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems cites this paper.

The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:46:36.224834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T20:41:49.137745Z digest=sha256:b3b6e810a204f1980e641aad849dfaf21a42bb5eecc6795755826d3b566f6e46

Observation 6f9c03ff-e058-4d1a-9ad6-f621b3c674f3 · inbound

Prompt Programming for Cultural Bias and Alignment of Large Language Models cites this paper.

Prompt Programming for Cultural Bias and Alignment of Large Language Models Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T18:01:39.289393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:01:39.289393Z digest=sha256:9ddd4f4b87c2faa0400f01cdd3fdb83cf61f26d43cbf538525424704d03f3197

Observation e18a3569-4d22-485a-9176-44a97e8b64a4 · inbound

In-situ process monitoring for defect detection in wire-arc additive manufacturing: an agentic AI approach cites this paper.

In-situ process monitoring for defect detection in wire-arc additive manufacturing: an agentic AI approach Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-05-10T21:20:50.554966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T16:51:36.295771Z digest=sha256:02e8753117e23c2a624f4dd807304974f4f6b9f87eca30c53724808d3566d0ef

Observation 82e3f5e7-f937-4c34-93ce-7ccd28217a93 · inbound

Coding-Free and Privacy-Preserving Agentic Framework for Data-Driven Clinical Research cites this paper.

Coding-Free and Privacy-Preserving Agentic Framework for Data-Driven Clinical Research Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:16:00.749191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T16:09:57.634528Z digest=sha256:42f8227df1720f093b5e5c9267aa91e513d53d896e4d2a97072793fb533ca601

Observation bb7428b5-460d-4e59-bf6e-7c019ce4c4f4 · inbound

AblateCell: A Reproduce-then-Ablate Agent for Virtual Cell Repositories cites this paper.

AblateCell: A Reproduce-then-Ablate Agent for Virtual Cell Repositories Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:01:04.368560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-10T02:30:39.346257Z digest=sha256:110bec851080120d4ff81024aecc2af0690976838cbc0dcdb387780eac2df1fd

Observation 85e7c22a-d931-4d00-9563-a6978544fa03 · inbound

Towards a Virtual Neuroscientist: Autonomous Neuroimaging Analysis via Multi-Agent Collaboration cites this paper.

Towards a Virtual Neuroscientist: Autonomous Neuroimaging Analysis via Multi-Agent Collaboration Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:21:19.102069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T03:17:59.537765Z digest=sha256:d9ce74b76d76bd90089f04ad5a581356ecf7e5c5997fe09b93d5a8d92d5d951f

Observation ba3bec90-9083-4418-84dc-bda9a3d5550b · inbound

Towards a Virtual Neuroscientist: Autonomous Neuroimaging Analysis via Multi-Agent Collaboration cites this paper.

Towards a Virtual Neuroscientist: Autonomous Neuroimaging Analysis via Multi-Agent Collaboration Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:12:41.072764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T17:11:24.574083Z digest=sha256:c419dcbb45141c19f8958170c1a286005af9c91a1aa194bc6c663039dad51448

Observation 0761a9f5-51b9-44a6-a7ad-05975b0f7c34 · inbound

Towards a Virtual Neuroscientist: Autonomous Neuroimaging Analysis via Multi-Agent Collaboration cites this paper.

Towards a Virtual Neuroscientist: Autonomous Neuroimaging Analysis via Multi-Agent Collaboration Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-30T22:45:07.207642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T22:44:36.377524Z digest=sha256:95fc1ea654be2133581336d9e16cb919e9d4cd85f36e6aa77ed8d5ef793e8d14

Observation 7d6615e3-505d-450b-abdb-7be236fea8d9 · inbound

Train the Trainers -- An Agentic AI Framework for Peer-Based Mental Health Support in Battlefield Environments cites this paper.

Train the Trainers -- An Agentic AI Framework for Peer-Based Mental Health Support in Battlefield Environments Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-21T10:19:59.819265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-21T10:17:29.611062Z digest=sha256:9008c4d9c2ec034f37cffa74ed0c906a7ed4a99bb67dfc389d4f329119c26a94

Observation 3a9892b4-747b-402d-b1a7-6cd6b6dc66a2 · inbound

Teaching Language Models to Forecast Research Success Through Comparative Idea Evaluation cites this paper.

Teaching Language Models to Forecast Research Success Through Comparative Idea Evaluation Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T01:50:54.734463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T01:46:49.952433Z digest=sha256:757a5331b84aafe2a3da9d98fdb8acd405bca036ae664d5220208d941bb55881

Observation 1737c47e-a596-4219-91ef-26b5e773be46 · inbound

AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery cites this paper.

AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:50:21.574603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-25T04:46:43.679185Z digest=sha256:9164ee9c8f87c5fc2275f46dbc1294fd6f947d7b4760fe050f60dddbf3e9374a

Observation 4a4f22ec-29da-421b-9e3a-a86f89ab5b41 · inbound

AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation cites this paper.

AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:43:25.722148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T12:39:00.460842Z digest=sha256:0253b43da4fb71bb7b212f911eead954a9eb7a5865a8dc848d693ab24ef84473

Observation e64533b0-0157-454d-afd9-fb19002e73e9 · inbound

Validation-Gated Multi-Agent Governance for Online Adaptation of Thermal-Hydraulic Surrogate Models under Operating-Regime Shift cites this paper.

Validation-Gated Multi-Agent Governance for Online Adaptation of Thermal-Hydraulic Surrogate Models under Operating-Regime Shift Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-06-28T12:22:08.098634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T11:32:10.611944Z digest=sha256:35d4f7305a5003f553fc035c267cb02407867ae95df8dad68f2e5fd3260ea206

Observation 5b2fb1b7-1580-4928-bca1-12db9b9cb440 · inbound

Toward decision-aware AI for LSST-scale time-domain astronomy cites this paper.

Toward decision-aware AI for LSST-scale time-domain astronomy Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T03:51:35.519189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T03:46:08.276270Z digest=sha256:3c1577487d8b49cd68f18e112c793683aeaa5e373adb1a9bd7343999730f704f

Observation 1a195998-a7d6-4128-9d46-013431692892 · inbound

Benchmarking AI Agents for Addressing Scientific Challenges Across Scales cites this paper.

Benchmarking AI Agents for Addressing Scientific Challenges Across Scales Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:28:04.348973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T09:34:09.347912Z digest=sha256:6404a6e158f9792f285112240aa09d64944cd7fd182d65204db53a758a23e58b

Observation 2eeaae1b-31ee-4ff3-93d9-e7ec40c1d2b0 · inbound

PseudoBench: Measuring How Agentic Auto-Research Fuels Pseudoscience cites this paper.

PseudoBench: Measuring How Agentic Auto-Research Fuels Pseudoscience Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 111

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:18:56.466494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-27T01:29:12.725865Z digest=sha256:e336cd11a053b6e7469a54e5a0d00e07d15e397e51fc3f48b9dc8956af66e97c

Observation eeffbe96-a00b-4312-9e84-fa20f42ab2ba · inbound

Thinking Like a Scientist? A Structural Study of LLM-Generated Research Methods cites this paper.

Thinking Like a Scientist? A Structural Study of LLM-Generated Research Methods Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T17:28:44.415994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-27T04:09:11.258587Z digest=sha256:b9c9669526935f40dbaabb5a12bbc838d15b70e06c197a7da454db52b63cec96

Observation 6c18e75c-4d0c-4209-8242-6bb372feb993 · inbound

Agentic Orchestration of HPC Applications in Cloud cites this paper.

Agentic Orchestration of HPC Applications in Cloud Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-12T06:04:31.383714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:04:31.383714Z digest=sha256:1205587a309a9d4c412a2da86c1b57ed3fb9914252372bd5785271b5bdf77b58

Observation 7b9a39ba-8452-422d-a49a-683fe29bc664 · inbound

Networked Intelligence: Active Shared Context Graphs for Human-AI Team Science cites this paper.

Networked Intelligence: Active Shared Context Graphs for Human-AI Team Science Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T05:55:21.682373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:55:21.682373Z digest=sha256:f010372642cce18748ec5c6c30c851dad014e37e1303d35ddac08159077901a5

Observation c5a3c3a1-80b6-4f54-946b-1fd82b9e3bbb · inbound

An Agentic Interface for End-to-End Probabilistic Seismic Hazard and Risk Analysis cites this paper.

An Agentic Interface for End-to-End Probabilistic Seismic Hazard and Risk Analysis Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T09:48:46.135510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:48:46.135510Z digest=sha256:d892ef8e9f695432e447398a999dde5a4c642d5c3d1da568056a58fb2f422037

Observation a37d57b5-e722-46df-85cc-9bfb6718105a · inbound

Agent Security Needs Redefinition through a Holistic Framework cites this paper.

Agent Security Needs Redefinition through a Holistic Framework Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

Reference 260

Resolution
unresolved
no resolver link, observed 2026-08-01T06:04:46.564068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:04:46.564068Z digest=sha256:e791f9ab8281b9884a63d610207902c08b91ba8624165158963ac0034c6a5538