Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T16:15:53.870268Z
Paper Citation Record · LEDGER
On the Opportunities and Risks of Foundation Models
As of 3 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 100 inbound Pith citation observations for arXiv:2108.07258.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-11T00:07:42.444342Z
Reference resolution
18 of 18 outbound references displayed
- verified exact7
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier1
- metadata mismatch10
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a62f26bd-c159-4f6d-a08d-dbe349c1ad9b · outbound
This paper cites Invariant Risk Minimization.
On the Opportunities and Risks of Foundation Models Invariant Risk Minimization
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:53.138762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 3a548c76-cd2b-47ad-b25f-87bc46da62dd · outbound
This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.
On the Opportunities and Risks of Foundation Models Neural Machine Translation by Jointly Learning to Align and Translate
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T09:22:12.199759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 82201048-e084-4c8c-b100-879e998a7ae1 · outbound
This paper cites Documentation Debt.
On the Opportunities and Risks of Foundation Models Documentation Debt
Reference 3
- Resolution
- verified exact
- doi, observed 2026-05-10T16:15:53.922984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 4b77b466-0f29-4245-9be3-484e47ba8402 · outbound
This paper cites cost disease.
On the Opportunities and Risks of Foundation Models cost disease
Reference 4
- Resolution
- verified exact
- doi, observed 2026-05-10T16:15:53.926778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 905c4cc5-6de3-4cff-aee0-527f4ef6f495 · outbound
This paper cites The Benchmark Lottery.
On the Opportunities and Risks of Foundation Models The Benchmark Lottery
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T16:15:53.979822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 20aad6cd-78d4-4c3f-aabf-649592301942 · outbound
This paper cites ArXiv abs/2107.03451 (2021).
On the Opportunities and Risks of Foundation Models ArXiv abs/2107.03451 (2021)
Reference 6
- Resolution
- verified exact
- doi, observed 2026-05-10T16:15:53.930582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e6c5621c-8fcf-45a1-8975-697dd5a75da6 · outbound
This paper cites 2018 , isbn =.
On the Opportunities and Risks of Foundation Models 2018 , isbn =
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T16:15:53.936806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 55e4f2f3-72ad-427f-a595-67f089e38630 · outbound
This paper cites AI4People—An Ethical Framework for a Good AI Society.
On the Opportunities and Risks of Foundation Models AI4People—An Ethical Framework for a Good AI Society
Reference 8
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T16:15:53.941232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 097d3245-b3e4-4db8-bff6-e4adf19a11b1 · outbound
This paper cites doi: 10.18653/v1/2021.acl-long.150.
On the Opportunities and Risks of Foundation Models doi: 10.18653/v1/2021.acl-long.150
Reference 9
- Resolution
- verified exact
- doi, observed 2026-05-10T16:15:53.945195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 46654b1d-0399-42b3-865a-2acb8dc7b7a4 · outbound
This paper cites nutrition label.
On the Opportunities and Risks of Foundation Models nutrition label
Reference 10
- Resolution
- malformed identifier
- doi_truncated, observed 2026-05-10T16:15:53.949040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 417f3860-5dfa-4014-be7a-bcb5b5a5c19d · outbound
This paper cites Cognitive Science , author =.
On the Opportunities and Risks of Foundation Models Cognitive Science , author =
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T16:15:53.956596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f149cc26-d88d-4eae-b285-71453dc58d0d · outbound
This paper cites How Can We Accelerate Progress Towards Human-like Linguistic Generalization?.
On the Opportunities and Risks of Foundation Models How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
Reference 12
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T16:15:53.960556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 73183b9f-2d43-4c8e-b074-92ff2d3de9fc · outbound
This paper cites ISBN 978-1-4503-7110-0.
On the Opportunities and Risks of Foundation Models ISBN 978-1-4503-7110-0
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T16:15:53.965811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0160fc32-8216-48b4-81d1-b96ccb11eccc · outbound
This paper cites doi: 10.18653/v1/D19-1339.
On the Opportunities and Risks of Foundation Models doi: 10.18653/v1/D19-1339
Reference 14
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T16:15:53.969560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation a7e129b9-5df2-43cf-a981-43ff6f350bd2 · outbound
This paper cites Millen, Murray Campbell, Sadhana Kumaravel, and Wei Zhang.
On the Opportunities and Risks of Foundation Models Millen, Murray Campbell, Sadhana Kumaravel, and Wei Zhang
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T16:15:53.910174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 4eb7bb56-4078-47d1-91a5-12d501489103 · outbound
This paper cites Science , author =.
On the Opportunities and Risks of Foundation Models Science , author =
Reference 16
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T16:15:53.914610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 95d8a511-96a3-40e1-ab92-b3f6ffba0247 · outbound
This paper cites Clinical Pharmacology & Therapeutics 92, 4 (2012), 414–417.
On the Opportunities and Risks of Foundation Models Clinical Pharmacology & Therapeutics 92, 4 (2012), 414–417
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T16:15:53.919249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 738c2d56-9774-46bf-a4a0-fee2a3202e16 · outbound
This paper cites arXiv preprint arXiv:2010.11934 (2020).
On the Opportunities and Risks of Foundation Models arXiv preprint arXiv:2010.11934 (2020)
Reference 18
- Resolution
- verified exact
- doi, observed 2026-05-10T16:15:53.904840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Pith citing papers
Observation 448875a9-1fed-41fc-95ea-00ac76b64c54 · inbound
Multitask Prompted Training Enables Zero-Shot Task Generalization cites this paper.
Multitask Prompted Training Enables Zero-Shot Task Generalization On the Opportunities and Risks of Foundation Models
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T17:59:43.026746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 9ee358cf-341d-4271-81d1-4e8c34f83c33 · inbound
Florence: A New Foundation Model for Computer Vision cites this paper.
Florence: A New Foundation Model for Computer Vision On the Opportunities and Risks of Foundation Models
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T09:38:09.513167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d3c9bb15-572d-47f8-acda-5cd26cce0e81 · inbound
Ethical and social risks of harm from Language Models cites this paper.
Ethical and social risks of harm from Language Models On the Opportunities and Risks of Foundation Models
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T18:24:29.750621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 8ddf2fcd-70b3-4408-8709-672d587b0b86 · inbound
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models cites this paper.
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models On the Opportunities and Risks of Foundation Models
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T07:08:52.753784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c3e9e4bd-8b95-4171-85e9-f3bfb7104923 · inbound
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model cites this paper.
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model On the Opportunities and Risks of Foundation Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T12:14:26.642555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c6d16588-711c-4fc6-b067-2f884e1c40ac · inbound
ST-MoE: Designing Stable and Transferable Sparse Expert Models cites this paper.
ST-MoE: Designing Stable and Transferable Sparse Expert Models On the Opportunities and Risks of Foundation Models
Reference 109
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T23:14:25.736459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e48104c5-0d25-4585-8ad7-0b8fb7a72614 · inbound
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language cites this paper.
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language On the Opportunities and Risks of Foundation Models
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T09:50:00.667957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d233aaa9-1770-49bf-858a-2f99e31f977f · inbound
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances cites this paper.
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances On the Opportunities and Risks of Foundation Models
Reference 83
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T22:24:06.312015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 4e1c6679-720d-41a4-81a5-a1be9fa8f36c · inbound
PaLM: Scaling Language Modeling with Pathways cites this paper.
PaLM: Scaling Language Modeling with Pathways On the Opportunities and Risks of Foundation Models
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T23:45:07.105297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 216bde11-2389-4f7e-b36b-368339a15c83 · inbound
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback cites this paper.
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback On the Opportunities and Risks of Foundation Models
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T16:15:53.986238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation fdfe7392-d483-4273-8fd2-befb0967fc06 · inbound
MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning cites this paper.
MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning On the Opportunities and Risks of Foundation Models
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T07:31:08.367079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 32c0a0a2-5994-4401-b712-3bb353908ad2 · inbound
OPT: Open Pre-trained Transformer Language Models cites this paper.
OPT: Open Pre-trained Transformer Language Models On the Opportunities and Risks of Foundation Models
Reference 216
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-10T20:53:17.735596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ef83858b-1e7b-4601-ba93-62364ce27858 · inbound
CoCa: Contrastive Captioners are Image-Text Foundation Models cites this paper.
CoCa: Contrastive Captioners are Image-Text Foundation Models On the Opportunities and Risks of Foundation Models
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T10:53:08.345218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 32eb2f82-2ce5-4414-8c63-3e5ebd775cc1 · inbound
A Generalist Agent cites this paper.
A Generalist Agent On the Opportunities and Risks of Foundation Models
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T06:24:49.889779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation fccc22d1-56e2-4d45-a925-29e86d794ee7 · inbound
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models cites this paper.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models On the Opportunities and Risks of Foundation Models
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-10T23:26:25.529016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0871a49f-75d5-4a77-a306-9527142397ac · inbound
Emergent Abilities of Large Language Models cites this paper.
Emergent Abilities of Large Language Models On the Opportunities and Risks of Foundation Models
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T07:38:37.889023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 2887472c-5a7a-4148-bf10-86834a88fc41 · inbound
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation cites this paper.
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation On the Opportunities and Risks of Foundation Models
Reference 83
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T04:49:31.301985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 105c72da-ede5-435d-bd6d-c9989d2efd2f · inbound
Language Models (Mostly) Know What They Know cites this paper.
Language Models (Mostly) Know What They Know On the Opportunities and Risks of Foundation Models
Reference 111
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T16:15:53.986238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f71790b8-efd6-45f5-a891-f3db9bd3d416 · inbound
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned cites this paper.
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned On the Opportunities and Risks of Foundation Models
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T01:38:08.455121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 8bc7e237-5a09-4798-a4be-55c1c102da70 · inbound
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers cites this paper.
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers On the Opportunities and Risks of Foundation Models
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T19:17:50.723585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ff7620d4-1be5-4c82-843f-88a18b392ccb · inbound
InternVideo: General Video Foundation Models via Generative and Discriminative Learning cites this paper.
InternVideo: General Video Foundation Models via Generative and Discriminative Learning On the Opportunities and Risks of Foundation Models
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T00:36:53.354621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 41f2e11f-2b54-4efb-abe6-81569996d8c1 · inbound
Discovering Latent Knowledge in Language Models Without Supervision cites this paper.
Discovering Latent Knowledge in Language Models Without Supervision On the Opportunities and Risks of Foundation Models
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T20:34:08.278904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e3d767d0-0bfd-493e-bf24-3b981e5bb898 · inbound
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning cites this paper.
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning On the Opportunities and Risks of Foundation Models
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T09:14:16.541559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d0e92cf8-4206-49a4-ba7a-5ab149ccd701 · inbound
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT cites this paper.
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT On the Opportunities and Risks of Foundation Models
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T07:09:16.934390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 303298d0-28e9-4451-b9d2-c4fde0a67946 · inbound
PaLM-E: An Embodied Multimodal Language Model cites this paper.
PaLM-E: An Embodied Multimodal Language Model On the Opportunities and Risks of Foundation Models
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-10T22:29:29.750349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e718c7e0-b313-4399-85e4-1f2a38716985 · inbound
BloombergGPT: A Large Language Model for Finance cites this paper.
BloombergGPT: A Large Language Model for Finance On the Opportunities and Risks of Foundation Models
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T23:19:46.605713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 361737f4-c52e-4058-a752-a7387c05e6e8 · inbound
Segment Anything cites this paper.
Segment Anything On the Opportunities and Risks of Foundation Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T06:14:20.116045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 89fb094a-c2a8-45f7-9865-6ea3293e54ad · inbound
Generative Agents: Interactive Simulacra of Human Behavior cites this paper.
Generative Agents: Interactive Simulacra of Human Behavior On the Opportunities and Risks of Foundation Models
Reference 17
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T19:05:13.555508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 67e4e5b2-a6d4-4374-8179-129264ea4a36 · inbound
ChemCrow: Augmenting large-language models with chemistry tools cites this paper.
ChemCrow: Augmenting large-language models with chemistry tools On the Opportunities and Risks of Foundation Models
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T19:05:23.116960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation acdf0b50-6f4f-46c1-a3ee-8adf8eb6078b · inbound
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment cites this paper.
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment On the Opportunities and Risks of Foundation Models
Reference 86
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T00:46:56.803238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e9595bf0-923e-469b-ac36-f611f6ad4762 · inbound
DINOv2: Learning Robust Visual Features without Supervision cites this paper.
DINOv2: Learning Robust Visual Features without Supervision On the Opportunities and Risks of Foundation Models
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T16:15:53.986238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c2232e37-2a99-4322-92ee-be65c6b17095 · inbound
StarCoder: may the source be with you! cites this paper.
StarCoder: may the source be with you! On the Opportunities and Risks of Foundation Models
Reference 133
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T23:33:00.718738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation a6a02e4e-811a-49ab-a04a-50c167c632e7 · inbound
Towards Expert-Level Medical Question Answering with Large Language Models cites this paper.
Towards Expert-Level Medical Question Answering with Large Language Models On the Opportunities and Risks of Foundation Models
Reference 60
- Resolution
- metadata mismatch
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 2ab56e1d-c4c3-4396-9ebd-7157c5605b00 · inbound
PaLM 2 Technical Report cites this paper.
PaLM 2 Technical Report On the Opportunities and Risks of Foundation Models
Reference 239
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T11:59:27.159165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 1f116d0d-30b5-4666-bc69-5a6026eb30dd · inbound
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations cites this paper.
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations On the Opportunities and Risks of Foundation Models
Reference 232
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T17:25:08.173115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ee9f3a60-cd35-4a8c-b1a8-dd72f427f434 · inbound
QLoRA: Efficient Finetuning of Quantized LLMs cites this paper.
QLoRA: Efficient Finetuning of Quantized LLMs On the Opportunities and Risks of Foundation Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T13:29:53.832112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d88924c6-d6af-4cd4-8c34-2256bb77f1f5 · inbound
RoMa: Robust Dense Feature Matching cites this paper.
RoMa: Robust Dense Feature Matching On the Opportunities and Risks of Foundation Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T08:59:14.887223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 42233f16-0cc0-435b-8df3-347f3045850b · inbound
Voyager: An Open-Ended Embodied Agent with Large Language Models cites this paper.
Voyager: An Open-Ended Embodied Agent with Large Language Models On the Opportunities and Risks of Foundation Models
Reference 72
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T16:15:53.986238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation fcfd5f58-4ac0-4434-89c4-611ce2c82796 · inbound
Mind2Web: Towards a Generalist Agent for the Web cites this paper.
Mind2Web: Towards a Generalist Agent for the Web On the Opportunities and Risks of Foundation Models
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T20:05:16.256829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 58b129a4-fc41-4539-874b-1ee90ea9b19a · inbound
MiniLLM: On-Policy Distillation of Large Language Models cites this paper.
MiniLLM: On-Policy Distillation of Large Language Models On the Opportunities and Risks of Foundation Models
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T17:40:27.863850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation cd4945c6-f340-492e-8bfa-975613cd240f · inbound
Faster Segment Anything: Towards Lightweight SAM for Mobile Applications cites this paper.
Faster Segment Anything: Towards Lightweight SAM for Mobile Applications On the Opportunities and Risks of Foundation Models
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:41:43.446015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 752d83bb-2c77-46d4-ab79-046b4a032add · inbound
Jailbroken: How Does LLM Safety Training Fail? cites this paper.
Jailbroken: How Does LLM Safety Training Fail? On the Opportunities and Risks of Foundation Models
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T18:17:42.898804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 959517ac-717e-466e-92a3-f0789164ed41 · inbound
Secrets of RLHF in Large Language Models Part I: PPO cites this paper.
Secrets of RLHF in Large Language Models Part I: PPO On the Opportunities and Risks of Foundation Models
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T13:17:42.899373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 818bbc32-863f-4d3e-9e3a-299c53d284a2 · inbound
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models cites this paper.
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models On the Opportunities and Risks of Foundation Models
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T08:57:22.401921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 8f58deda-c278-4a39-88d4-ffdcc309c908 · inbound
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models cites this paper.
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models On the Opportunities and Risks of Foundation Models
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T01:52:01.390948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 678488a1-5b99-4d8a-b9e1-ba59d55c8040 · inbound
A Survey of Hallucination in Large Foundation Models cites this paper.
A Survey of Hallucination in Large Foundation Models On the Opportunities and Risks of Foundation Models
Reference 112
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T15:21:00.866635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ca14b624-0324-45de-bed2-7f54616cf0f9 · inbound
Language Modeling Is Compression cites this paper.
Language Modeling Is Compression On the Opportunities and Risks of Foundation Models
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:36:13.441666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 64ed10a5-0e49-42af-aee5-f9c83bb36411 · inbound
Vision Transformers Need Registers cites this paper.
Vision Transformers Need Registers On the Opportunities and Risks of Foundation Models
Reference 261
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T09:41:38.176158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 4aa5a121-f59c-4743-a130-e6771a53fa01 · inbound
Demystifying CLIP Data cites this paper.
Demystifying CLIP Data On the Opportunities and Risks of Foundation Models
Reference 82
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T09:20:20.328918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 7ec8fb25-407d-414b-807e-eb312e3b7151 · inbound
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines cites this paper.
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines On the Opportunities and Risks of Foundation Models
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T18:57:47.263815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation faeecae3-3ddd-4f6a-9884-56aecb3d5036 · inbound
Llemma: An Open Language Model For Mathematics cites this paper.
Llemma: An Open Language Model For Mathematics On the Opportunities and Risks of Foundation Models
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T08:17:46.502734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 43084f80-d0e1-4bb3-9e44-633d752bf39c · inbound
Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models cites this paper.
Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models On the Opportunities and Risks of Foundation Models
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T06:13:59.948702Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation bf3b491b-cb1d-40df-8d19-8d99f59853eb · inbound
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation cites this paper.
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation On the Opportunities and Risks of Foundation Models
Reference 163
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T17:56:23.564960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 16771eeb-ddf0-49c5-a101-79e1f2798bbf · inbound
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models cites this paper.
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models On the Opportunities and Risks of Foundation Models
Reference 7
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-21T14:12:08.534050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 02ac35bc-aad6-439b-8eee-4f4fb0d7be3f · inbound
The Falcon Series of Open Language Models cites this paper.
The Falcon Series of Open Language Models On the Opportunities and Risks of Foundation Models
Reference 61
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T09:46:09.867806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation a8529a8b-520d-407d-b4e5-171255ced97c · inbound
A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA cites this paper.
A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA On the Opportunities and Risks of Foundation Models
Reference 72
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T22:05:50.610962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 14a2685e-0a17-472a-bbc9-b732562bdcb2 · inbound
Steering Llama 2 via Contrastive Activation Addition cites this paper.
Steering Llama 2 via Contrastive Activation Addition On the Opportunities and Risks of Foundation Models
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T20:37:21.388941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 19e42316-f218-4ecb-9699-906d70ac6309 · inbound
Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.
Data-Centric Foundation Models in Computational Healthcare: A Survey On the Opportunities and Risks of Foundation Models
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T04:13:53.172949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 123a393a-5616-42ee-aeb3-7f56af05f063 · inbound
Agent AI: Surveying the Horizons of Multimodal Interaction cites this paper.
Agent AI: Surveying the Horizons of Multimodal Interaction On the Opportunities and Risks of Foundation Models
Reference 89
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T14:25:59.293477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation bab055e0-53da-48f5-a774-c333739217a5 · inbound
A Roadmap to Pluralistic Alignment cites this paper.
A Roadmap to Pluralistic Alignment On the Opportunities and Risks of Foundation Models
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T14:37:53.574960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5b0483eb-77d9-4a6a-a6e9-f63100f9143c · inbound
Whispers in the Machine: Confidentiality in Agentic Systems cites this paper.
Whispers in the Machine: Confidentiality in Agentic Systems On the Opportunities and Risks of Foundation Models
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T04:03:53.887103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 970824c6-f955-4db4-9983-7c6969419393 · inbound
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training cites this paper.
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training On the Opportunities and Risks of Foundation Models
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T04:09:36.132763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 9c547b3b-d1e3-468c-a4ad-52a8440097d1 · inbound
The Platonic Representation Hypothesis cites this paper.
The Platonic Representation Hypothesis On the Opportunities and Risks of Foundation Models
Reference 218
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T06:03:56.812482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 7f49b098-0a66-4410-ae3a-d5d87de3d819 · inbound
Pruning Federated Models through Loss Landscape Analysis and Client Agreement Scoring cites this paper.
Pruning Federated Models through Loss Landscape Analysis and Client Agreement Scoring On the Opportunities and Risks of Foundation Models
Reference 39
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-24T00:43:40.613927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 6104ae57-6802-4de9-a30d-93fb8671ff47 · inbound
A Survey on Large Language Models for Code Generation cites this paper.
A Survey on Large Language Models for Code Generation On the Opportunities and Risks of Foundation Models
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T20:18:06.679136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c25bd221-a4d5-46d9-b86c-095a107571e2 · inbound
TouchAI: Exploring human-AI perceptual alignment in touch through language model representations cites this paper.
TouchAI: Exploring human-AI perceptual alignment in touch through language model representations On the Opportunities and Risks of Foundation Models
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T00:05:52.668139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d2b183ab-043c-4d3e-b56b-40b7ac80d01c · inbound
TextGrad: Automatic "Differentiation" via Text cites this paper.
TextGrad: Automatic "Differentiation" via Text On the Opportunities and Risks of Foundation Models
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T11:27:58.197816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 05a829ad-b111-4cf3-89dd-847a37d426d8 · inbound
Prioritizing High-Consequence Biological Capabilities in Evaluations of Artificial Intelligence Models cites this paper.
Prioritizing High-Consequence Biological Capabilities in Evaluations of Artificial Intelligence Models On the Opportunities and Risks of Foundation Models
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T01:13:42.868912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f091f188-b160-42db-ad89-a94cd733623a · inbound
Deep Time Series Models: A Comprehensive Survey and Benchmark cites this paper.
Deep Time Series Models: A Comprehensive Survey and Benchmark On the Opportunities and Risks of Foundation Models
Reference 197
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T23:05:51.478185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 16873092-00a8-4933-b935-aec1d592b2de · inbound
Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models cites this paper.
Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models On the Opportunities and Risks of Foundation Models
Reference 63
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T06:38:36.757478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 099bee9e-662a-4393-abfe-c832bc729d16 · inbound
A Survey of Mamba cites this paper.
A Survey of Mamba On the Opportunities and Risks of Foundation Models
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T22:13:30.991474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 3559d0ce-d813-4ed3-bf91-85488f117211 · inbound
HexiScale: Facilitating Large Language Model Training over Heterogeneous Hardware cites this paper.
HexiScale: Facilitating Large Language Model Training over Heterogeneous Hardware On the Opportunities and Risks of Foundation Models
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T21:23:27.640852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation a3b41243-06f1-4d52-9c2c-d296acfe7f74 · inbound
Training Language Models to Self-Correct via Reinforcement Learning cites this paper.
Training Language Models to Self-Correct via Reinforcement Learning On the Opportunities and Risks of Foundation Models
Reference 169
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T12:04:10.740699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 9fcf0096-35d8-4c4e-901c-e4c99377572b · inbound
On Efficient Variants of Segment Anything Model: A Survey cites this paper.
On Efficient Variants of Segment Anything Model: A Survey On the Opportunities and Risks of Foundation Models
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-23T19:43:23.533644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 358d9809-a434-4a78-8c63-751b1332fddc · inbound
Evaluating Computational Pathology Foundation Models for Prostate Cancer Grading under Distribution Shifts cites this paper.
Evaluating Computational Pathology Foundation Models for Prostate Cancer Grading under Distribution Shifts On the Opportunities and Risks of Foundation Models
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T19:23:21.946599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 05b8c3a1-e78b-4844-9aba-48dbed262b4d · inbound
Causal Fine-Tuning under Latent Confounded Shift cites this paper.
Causal Fine-Tuning under Latent Confounded Shift On the Opportunities and Risks of Foundation Models
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T19:03:22.182055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 35a2a4fe-9413-4807-ae06-d1a0cdfc14f9 · 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 On the Opportunities and Risks of Foundation Models
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T18:53:21.059746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 12869ec9-d639-4aef-aa7f-db37fa338ac1 · inbound
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents cites this paper.
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents On the Opportunities and Risks of Foundation Models
Reference 92
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T09:29:27.707679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ed91a705-6e12-45c8-9520-e151de341b91 · inbound
Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning cites this paper.
Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning On the Opportunities and Risks of Foundation Models
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T05:55:27.522264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 7e625123-d0f3-4ccd-9700-edd3b9131c13 · inbound
Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving cites this paper.
Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving On the Opportunities and Risks of Foundation Models
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T05:17:35.622835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b549037a-e5a6-4e0e-80fa-26671e3c22ae · inbound
Sundial: A Family of Highly Capable Time Series Foundation Models cites this paper.
Sundial: A Family of Highly Capable Time Series Foundation Models On the Opportunities and Risks of Foundation Models
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-23T04:32:33.890926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation dddb38bb-222a-457d-82f8-84ce39882467 · inbound
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data cites this paper.
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data On the Opportunities and Risks of Foundation Models
Reference 44
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T13:35:02.196528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e4c349c3-1236-450f-8e33-e294b48ac311 · inbound
Towards an AI co-scientist cites this paper.
Towards an AI co-scientist On the Opportunities and Risks of Foundation Models
Reference 142
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T13:02:44.906081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 61e5d846-ffda-48ae-ac83-f2c97fa2b5cb · inbound
Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.
Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices On the Opportunities and Risks of Foundation Models
Reference 100
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T01:05:16.381004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 1a15c689-0a5e-40f1-b859-2e3e52818df1 · inbound
ManeuverGPT Agentic Control for Safe Autonomous Stunt Maneuvers cites this paper.
ManeuverGPT Agentic Control for Safe Autonomous Stunt Maneuvers On the Opportunities and Risks of Foundation Models
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T00:42:18.932339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 75d39bca-7af0-4960-b6f8-5bc9c56b8863 · inbound
Siamese Foundation Models for Crystal Structure Prediction cites this paper.
Siamese Foundation Models for Crystal Structure Prediction On the Opportunities and Risks of Foundation Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T00:15:15.075607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 70ac69e9-1a57-4b74-970f-429afd180a11 · inbound
GR00T N1: An Open Foundation Model for Generalist Humanoid Robots cites this paper.
GR00T N1: An Open Foundation Model for Generalist Humanoid Robots On the Opportunities and Risks of Foundation Models
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T19:09:10.185031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 64d244d6-baf1-45d3-8acd-a86a752920dc · inbound
Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.
Large Language Model Agent: A Survey on Methodology, Applications and Challenges On the Opportunities and Risks of Foundation Models
Reference 243
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T21:52:10.244393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 8b988a95-65ad-4a20-83a8-24587e6daab0 · inbound
The Paradox of Professional Input: How Expert Collaboration with AI Systems Shapes Their Future Value cites this paper.
The Paradox of Professional Input: How Expert Collaboration with AI Systems Shapes Their Future Value On the Opportunities and Risks of Foundation Models
Reference 34
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T20:17:03.018508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c7c56fdd-b2ec-4acd-a3a7-6f1a51f38b92 · inbound
Advancing AI Research Assistants with Expert-Involved Learning cites this paper.
Advancing AI Research Assistants with Expert-Involved Learning On the Opportunities and Risks of Foundation Models
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T16:21:46.984178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 365ec084-e6ec-413e-a8f1-1e99ea53bd36 · inbound
A Survey on Foundation Models for Personalized Federated Intelligence cites this paper.
A Survey on Foundation Models for Personalized Federated Intelligence On the Opportunities and Risks of Foundation Models
Reference 71
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T15:34:57.774144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 06ed8bf2-d09a-40a4-b91c-621296a8b2cb · inbound
Data Balancing Strategies: A Systematic Survey of Resampling and Augmentation Methods cites this paper.
Data Balancing Strategies: A Systematic Survey of Resampling and Augmentation Methods On the Opportunities and Risks of Foundation Models
Reference 135
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T14:41:41.544752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation a7d247b6-3044-4fe2-ae87-38ac1a8a321e · inbound
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap cites this paper.
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap On the Opportunities and Risks of Foundation Models
Reference 23
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T14:53:07.045779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 2dc323b4-c985-4f1b-ba90-3a27f02566d3 · inbound
Test-Time Distillation for Continual Model Adaptation cites this paper.
Test-Time Distillation for Continual Model Adaptation On the Opportunities and Risks of Foundation Models
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T11:07:15.162511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation eed05ac0-fac1-4537-a91c-02e6ed25111d · inbound
BacPrep: Lessons from Deploying an LLM-Based Bacalaureat Assessment Platform cites this paper.
BacPrep: Lessons from Deploying an LLM-Based Bacalaureat Assessment Platform On the Opportunities and Risks of Foundation Models
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T11:22:16.454815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c7616b45-e46c-4768-acc0-b81bd5906d5f · inbound
Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis cites this paper.
Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis On the Opportunities and Risks of Foundation Models
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T10:37:15.146708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 68c006e2-0e69-42f3-909e-e0f73ecc247d · inbound
AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models cites this paper.
AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models On the Opportunities and Risks of Foundation Models
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T11:13:02.890234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 256a46f9-3bfb-46f2-a2d1-7670deacde7e · inbound
A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation cites this paper.
A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation On the Opportunities and Risks of Foundation Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T09:32:16.519348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f1bee4f4-38fe-490d-9239-fa30f25c5e61 · inbound
Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers cites this paper.
Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers On the Opportunities and Risks of Foundation Models
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T09:32:15.565214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0282c55f-3bd8-4848-8068-ffcc52b534aa · inbound
A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset cites this paper.
A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset On the Opportunities and Risks of Foundation Models
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T08:22:11.114500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.