Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-11T07:38:37.734402Z
Paper Citation Record · LEDGER
Emergent Abilities of Large Language Models
As of 4 August 2026, this Paper Citation Record lists 100 of 103 outbound references and 100 inbound Pith citation observations for arXiv:2206.07682.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T20:58:34.051204Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T06:15:00.866473Z
Reference resolution
100 of 103 outbound references displayed
- verified exact52
- verified fuzzy29
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch16
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c041c63c-b090-4e12-aae1-a96a1769e97a · outbound
This paper cites Bootstrapping language acquisition.
Emergent Abilities of Large Language Models Bootstrapping language acquisition
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.522416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 357f1ad4-eed1-4b6c-b1a1-f4c4f7b54027 · outbound
This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.
Emergent Abilities of Large Language Models Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T07:38:37.972334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0bba0898-1685-4359-ae1d-b0edafcdd314 · outbound
This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.
Emergent Abilities of Large Language Models Flamingo: a Visual Language Model for Few-Shot Learning
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:22:31.147880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0701913c-02e3-48bb-b9bb-a0d38c05dcda · outbound
This paper cites Anderson.
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.525125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 864c92e4-f26c-4ced-9cfd-c20d113d2245 · outbound
This paper cites Ask Me Anything: A simple strategy for prompting language models.
Emergent Abilities of Large Language Models Ask Me Anything: A simple strategy for prompting language models
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:38:38.006224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f487086e-f9af-4a06-a760-1fba15f9477d · outbound
This paper cites Efficient Large Scale Language Modeling with Mixtures of Experts.
Emergent Abilities of Large Language Models Efficient Large Scale Language Modeling with Mixtures of Experts
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.018560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f1251446-5edd-4d04-a5dc-814d9ec00284 · outbound
This paper cites A General Language Assistant as a Laboratory for Alignment.
Emergent Abilities of Large Language Models A General Language Assistant as a Laboratory for Alignment
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:23:00.363778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4478e68f-8bd0-4df2-a79b-1916b2345481 · outbound
This paper cites gpt2tc: Text completion and compression using GPT -2.
Emergent Abilities of Large Language Models gpt2tc: Text completion and compression using GPT -2
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.461554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 737eaac5-acf6-4d38-93a4-3db26e34f4df · outbound
This paper cites Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell.
Emergent Abilities of Large Language Models Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:38:37.826618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8c9721d4-2582-4b35-b622-46b8cd1bcff6 · outbound
This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
Emergent Abilities of Large Language Models Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T07:38:37.880668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0871a49f-75d5-4a77-a306-9527142397ac · outbound
This paper cites On the Opportunities and Risks of Foundation Models.
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 2026-08-04T06:34:03.388597+00:00.
Observation 65a1d8b9-a720-464e-9997-1351f5d995f4 · outbound
This paper cites Improving language models by retrieving from trillions of tokens.
Emergent Abilities of Large Language Models Improving language models by retrieving from trillions of tokens
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T12:55:41.994998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b5f95b41-e31f-457c-b387-fab5e7fae1ce · outbound
This paper cites Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al.
Emergent Abilities of Large Language Models Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.554183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e49254ec-2d89-48af-ae4f-64e983df512f · outbound
This paper cites Extracting training data from large language models.
Emergent Abilities of Large Language Models Extracting training data from large language models
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.432312Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1963bff6-7469-4d8e-8bb0-c25f3963bd3e · outbound
This paper cites Quantifying Memorization Across Neural Language Models.
Emergent Abilities of Large Language Models Quantifying Memorization Across Neural Language Models
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T22:04:59.782633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 846f9e1e-8b42-444b-9941-d020166a3b2f · outbound
This paper cites Data Distributional Properties Drive Emergent In-Context Learning in Transformers.
Emergent Abilities of Large Language Models Data Distributional Properties Drive Emergent In-Context Learning in Transformers
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:38:37.918130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 477ede39-b964-4da5-80bc-83c8bf88284a · outbound
This paper cites PaLM: Scaling Language Modeling with Pathways.
Emergent Abilities of Large Language Models PaLM: Scaling Language Modeling with Pathways
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T07:38:37.925104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b4fda3d0-e23d-4ecf-a1c4-9f8fbf3a0a32 · outbound
This paper cites Scaling Instruction-Finetuned Language Models.
Emergent Abilities of Large Language Models Scaling Instruction-Finetuned Language Models
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T01:23:37.463337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 445f8fff-43b4-4747-bc82-ca6187bb2583 · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
Emergent Abilities of Large Language Models Training Verifiers to Solve Math Word Problems
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T07:38:37.938277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 48cd7f68-63f5-4959-a676-5ab9048af47b · outbound
This paper cites Wordcraft: a Human-AI Collaborative Editor for Story Writing.
Emergent Abilities of Large Language Models Wordcraft: a Human-AI Collaborative Editor for Story Writing
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:37.947937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2b1cfa37-8f6d-4999-806b-ebc516cfc7a2 · outbound
This paper cites Emergence in science and philosophy, volume 6.
Emergent Abilities of Large Language Models Emergence in science and philosophy, volume 6
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.426668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3434fa8a-6916-4a69-a1df-09912339d577 · outbound
This paper cites Universal Transformers.
Emergent Abilities of Large Language Models Universal Transformers
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T08:04:31.534239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 58e1af4b-8ecb-4896-a160-35d6d6cb8f7c · outbound
This paper cites BERT : Pre-training of deep bidirectional transformers for language understanding.
Emergent Abilities of Large Language Models BERT : Pre-training of deep bidirectional transformers for language understanding
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.406083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 40bc1e35-4afd-4601-a92a-77bdfc24d024 · outbound
This paper cites GLaM: Efficient Scaling of Language Models with Mixture-of-Experts.
Emergent Abilities of Large Language Models GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
Reference 24
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:38:38.291396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f8cfdd6f-173c-4270-9733-46378a805d61 · outbound
This paper cites Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity.
Emergent Abilities of Large Language Models Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T23:57:11.134962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bc7350d9-b5fd-414e-81e3-963a534cf2a9 · outbound
This paper cites Computation at the edge of chaos: Phase transitions and emergent computation.
Emergent Abilities of Large Language Models Computation at the edge of chaos: Phase transitions and emergent computation
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:38:38.307994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0137f471-9dea-4caa-abac-40e00a09c203 · outbound
This paper cites Predictability and Surprise in Large Generative Models.
Emergent Abilities of Large Language Models Predictability and Surprise in Large Generative Models
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.320008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c62b1b48-d080-4742-851b-d27400834ccc · outbound
This paper cites doi: 10.18653/v1/2021.acl-long.295.
Emergent Abilities of Large Language Models doi: 10.18653/v1/2021.acl-long.295
Reference 28
- Resolution
- metadata mismatch
- doi, observed 2026-05-11T07:38:37.863087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cc28eed9-a7a5-4bbd-ab15-c2ad38f5a71b · outbound
This paper cites doi: 10.18653/v1/2020.findings-emnlp.301.
Emergent Abilities of Large Language Models doi: 10.18653/v1/2020.findings-emnlp.301
Reference 29
- Resolution
- verified exact
- doi, observed 2026-05-11T07:38:37.848348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1a777a2f-cd77-474b-8ad2-51310427b823 · outbound
This paper cites Adaptive Computation Time for Recurrent Neural Networks.
Emergent Abilities of Large Language Models Adaptive Computation Time for Recurrent Neural Networks
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T11:53:22.734695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dc824220-0a07-460e-831a-ec6adb2ff17e · outbound
This paper cites REALM: Retrieval-Augmented Language Model Pre-Training.
Emergent Abilities of Large Language Models REALM: Retrieval-Augmented Language Model Pre-Training
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:59:16.231557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation db49046b-8769-40b0-87ba-4679f4c76934 · outbound
This paper cites Harper and Paul A.
Emergent Abilities of Large Language Models Harper and Paul A
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.453063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a5bfa2af-d8c4-4a97-bb8a-9eb4a0df283f · outbound
This paper cites Measuring massive multitask language understanding.
Emergent Abilities of Large Language Models Measuring massive multitask language understanding
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.456262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7bdf52be-7919-4997-9bec-a85faae62ff2 · outbound
This paper cites Unsolved Problems in ML Safety.
Emergent Abilities of Large Language Models Unsolved Problems in ML Safety
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T20:45:28.030299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 97d62675-bd67-4532-b373-062df090a1e8 · outbound
This paper cites Training Compute-Optimal Large Language Models.
Emergent Abilities of Large Language Models Training Compute-Optimal Large Language Models
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T07:38:38.342977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d2b329f5-3053-4630-8828-b66578c3bb20 · outbound
This paper cites Surface form competition: Why the highest probability answer isn ' t always right.
Emergent Abilities of Large Language Models Surface form competition: Why the highest probability answer isn ' t always right
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.467932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation aa49a1b3-ff9f-4203-b6fa-4d4740cdfb90 · outbound
This paper cites Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents.
Emergent Abilities of Large Language Models Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.351775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 42a5fe07-e56d-4eb4-b96c-5f430d83a907 · outbound
This paper cites Huberman and Tad Hogg.
Emergent Abilities of Large Language Models Huberman and Tad Hogg
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.355926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 79fca3b4-543b-4ad0-9c90-b55bfc5cd1b1 · outbound
This paper cites Hwang, Yoh Iwasa, Masashi Kawasaki, Bernhard Keimer, Naoto Nagaosa, and Yoshinori Tokura.
Emergent Abilities of Large Language Models Hwang, Yoh Iwasa, Masashi Kawasaki, Bernhard Keimer, Naoto Nagaosa, and Yoshinori Tokura
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.480569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d0c00c34-4f3d-4723-8f0a-3d1256dda383 · outbound
This paper cites Decoupled Neural Interfaces using Synthetic Gradients.
Emergent Abilities of Large Language Models Decoupled Neural Interfaces using Synthetic Gradients
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T22:02:38.427469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 119c9c37-02ec-4495-8fbb-3fa77a119412 · outbound
This paper cites an unresolved cited work.
Emergent Abilities of Large Language Models Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T07:38:38.495533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c32a4bdf-349b-4f45-a7fd-3ac9a825a0bb · outbound
This paper cites Language Models (Mostly) Know What They Know.
Emergent Abilities of Large Language Models Language Models (Mostly) Know What They Know
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T07:38:38.367361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 76310853-1be7-4e82-92f4-2eb3c78c766d · outbound
This paper cites Deduplicating Training Data Mitigates Privacy Risks in Language Models.
Emergent Abilities of Large Language Models Deduplicating Training Data Mitigates Privacy Risks in Language Models
Reference 43
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:38:38.372454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 45e6ea60-03c6-49a7-a41e-fe79e17679a3 · outbound
This paper cites Scaling Laws for Neural Language Models.
Emergent Abilities of Large Language Models Scaling Laws for Neural Language Models
Reference 44
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T07:38:38.383261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5ac72448-333c-49d6-afbe-864736cb40c0 · outbound
This paper cites Large Language Models are Zero-Shot Reasoners.
Emergent Abilities of Large Language Models Large Language Models are Zero-Shot Reasoners
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T19:04:13.904485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a0a602eb-cf70-4cfe-bfc5-ff876b830d89 · outbound
This paper cites Can language models learn from explanations in context?.
Emergent Abilities of Large Language Models Can language models learn from explanations in context?
Reference 46
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:38:38.390857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e7723f20-8c42-4e7f-b4a3-cd08692b2601 · outbound
This paper cites Deduplicating Training Data Makes Language Models Better.
Emergent Abilities of Large Language Models Deduplicating Training Data Makes Language Models Better
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.401920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5838ad83-9769-45ac-849d-2199d3811169 · outbound
This paper cites CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities.
Emergent Abilities of Large Language Models CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.042686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f154c86d-0de9-4b24-9209-ec57b508065d · outbound
This paper cites Gshard: Scaling giant models with conditional computation and automatic sharding.
Emergent Abilities of Large Language Models Gshard: Scaling giant models with conditional computation and automatic sharding
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.530402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 48ceb98b-dc41-4970-b5f5-58b42d96f751 · outbound
This paper cites Semi-supervised learning for natural language.
Emergent Abilities of Large Language Models Semi-supervised learning for natural language
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.536849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation df618c05-1893-4352-8278-9a096d9ac019 · outbound
This paper cites Creel, and Rob Reich.
Emergent Abilities of Large Language Models Creel, and Rob Reich
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.541037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e5d2ad12-dc8b-4ab8-88a2-2b9bba899d74 · outbound
This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.
Emergent Abilities of Large Language Models TruthfulQA: Measuring How Models Mimic Human Falsehoods
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:48:54.871535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 236af242-3973-4f11-8f43-2c440a995277 · outbound
This paper cites an unresolved cited work.
Emergent Abilities of Large Language Models Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T07:38:38.551428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4f4f8957-51b9-47f0-b2f3-8fbf84d4fba1 · outbound
This paper cites and Clark, Kevin and Hewitt, John and Khandelwal, Urvashi and Levy, Omer , year =.
Emergent Abilities of Large Language Models and Clark, Kevin and Hewitt, John and Khandelwal, Urvashi and Levy, Omer , year =
Reference 54
- Resolution
- verified exact
- doi, observed 2026-05-11T07:38:37.840150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4d4cf4ba-0425-47ad-8ce3-96998dc0cdf6 · outbound
This paper cites The Natural Language Decathlon: Multitask Learning as Question Answering.
Emergent Abilities of Large Language Models The Natural Language Decathlon: Multitask Learning as Question Answering
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.070031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 115fb8f7-11b5-4d32-b9d6-4b7b2703650b · outbound
This paper cites Pointer sentinel mixture models.
Emergent Abilities of Large Language Models Pointer sentinel mixture models
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.414217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8dbc5eaf-c56b-4ad7-b552-e43f9a876a4b · outbound
This paper cites Name tagging with word clusters and discriminative training.
Emergent Abilities of Large Language Models Name tagging with word clusters and discriminative training
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.417175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 05d66ed5-524e-4f5e-bb33-2241547deeb4 · outbound
This paper cites Noisy Channel Language Model Prompting for Few-Shot Text Classification.
Emergent Abilities of Large Language Models Noisy Channel Language Model Prompting for Few-Shot Text Classification
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.081729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d9508033-7390-454d-a583-c811abc5aaf7 · outbound
This paper cites Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?.
Emergent Abilities of Large Language Models Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:51:47.316034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0f36912f-37b9-4b92-880f-f3a216350b02 · outbound
This paper cites Show Your Work: Scratchpads for Intermediate Computation with Language Models.
Emergent Abilities of Large Language Models Show Your Work: Scratchpads for Intermediate Computation with Language Models
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T00:31:41.641039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 83cbec4b-f0d8-4090-9736-737da72e8230 · outbound
This paper cites In-context learning and induction heads.
Emergent Abilities of Large Language Models In-context learning and induction heads
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.459120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 472870c1-deae-4894-9b59-8819a7f21e82 · outbound
This paper cites Training language models to follow instructions with human feedback.
Emergent Abilities of Large Language Models Training language models to follow instructions with human feedback
Reference 62
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T07:38:38.111838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 838cfbf2-14a1-4198-93f7-ac1dcaaae64b · outbound
This paper cites BLEU : a method for automatic evaluation of machine translation.
Emergent Abilities of Large Language Models BLEU : a method for automatic evaluation of machine translation
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.470708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a684a18d-1ef3-4024-b432-0bcd63120327 · outbound
This paper cites BBQ: A Hand-Built Bias Benchmark for Question Answering.
Emergent Abilities of Large Language Models BBQ: A Hand-Built Bias Benchmark for Question Answering
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T19:55:11.638110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 27fe1a15-e4fb-421c-94e0-f363556462d3 · outbound
This paper cites Mapping language models to grounded conceptual spaces.
Emergent Abilities of Large Language Models Mapping language models to grounded conceptual spaces
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.485605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a43318ab-da14-4ce7-88ce-7137bd2305e5 · outbound
This paper cites Red Teaming Language Models with Language Models.
Emergent Abilities of Large Language Models Red Teaming Language Models with Language Models
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.141616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a7448227-30eb-476d-a1c8-b61e74581479 · outbound
This paper cites W i C : the word-in-context dataset for evaluating context-sensitive meaning representations.
Emergent Abilities of Large Language Models W i C : the word-in-context dataset for evaluating context-sensitive meaning representations
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.500944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d21dde8e-35e2-410d-92d2-443d398fc6a4 · outbound
This paper cites Language models are unsupervised multitask learners.
Emergent Abilities of Large Language Models Language models are unsupervised multitask learners
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.506698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 956d2b11-8306-4b1b-8936-abe777f35bfe · outbound
This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.
Emergent Abilities of Large Language Models Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 69
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T19:13:40.454049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a40fd531-c736-4454-a5a8-0144c68edf8d · outbound
This paper cites an unresolved cited work.
Emergent Abilities of Large Language Models Unresolved cited work
Reference 70
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T07:38:38.512124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6d45c1c6-c1e6-491e-b295-7be7791e9309 · outbound
This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.
Emergent Abilities of Large Language Models Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 71
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T07:38:38.154877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e8d86078-f8e2-48d7-8194-a57df04f238b · outbound
This paper cites Impact of Pretraining Term Frequencies on Few-Shot Reasoning.
Emergent Abilities of Large Language Models Impact of Pretraining Term Frequencies on Few-Shot Reasoning
Reference 72
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.165398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4552b4a3-0100-409c-bc74-547a8e3c7268 · outbound
This paper cites Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm.
Emergent Abilities of Large Language Models Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm
Reference 73
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:38:38.169908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d11e88ba-2f92-42bd-8608-8933ec07dfa5 · outbound
This paper cites Social bias in elicited natural language inferences.
Emergent Abilities of Large Language Models Social bias in elicited natural language inferences
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.409080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f32d2dae-8186-4c89-8efd-954c699464fe · outbound
This paper cites Multitask prompted training enables zero-shot task generalization.
Emergent Abilities of Large Language Models Multitask prompted training enables zero-shot task generalization
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.423605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9592a233-c6da-4021-9688-13211bf37c68 · outbound
This paper cites A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks.
Emergent Abilities of Large Language Models A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks
Reference 76
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.184926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 552d5f8e-f159-41bc-858c-af5c8bf35c5e · outbound
This paper cites It ' s not just size that matters: Small language models are also few-shot learners.
Emergent Abilities of Large Language Models It ' s not just size that matters: Small language models are also few-shot learners
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.439486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8068ada8-b59b-4a54-b446-d1e590ddaf57 · outbound
This paper cites Language Models are Multilingual Chain-of-Thought Reasoners.
Emergent Abilities of Large Language Models Language Models are Multilingual Chain-of-Thought Reasoners
Reference 78
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:06:10.854128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9de63696-b72b-475b-a8f8-818e496d1859 · outbound
This paper cites On the risks of emergent behavior in foundation models, October 2021.
Emergent Abilities of Large Language Models On the risks of emergent behavior in foundation models, October 2021
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.474931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a839be6d-4f99-4944-b4c7-52151c6582bd · outbound
This paper cites Future ml systems will be qualitatively different.
Emergent Abilities of Large Language Models Future ml systems will be qualitatively different
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.498338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f0333b25-5c63-40e7-8461-841883c1209d · outbound
This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.
Emergent Abilities of Large Language Models Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Reference 81
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T07:38:38.197917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0b227ba6-ef5a-4e11-8124-dfbec6ed900b · outbound
This paper cites UL2: Unifying Language Learning Paradigms.
Emergent Abilities of Large Language Models UL2: Unifying Language Learning Paradigms
Reference 82
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:38:38.204027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fe168ddd-4c7c-45e0-a28a-e9f065b56a78 · outbound
This paper cites Transformer Memory as a Differentiable Search Index.
Emergent Abilities of Large Language Models Transformer Memory as a Differentiable Search Index
Reference 83
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.209042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3e1a6c03-7ff3-46f2-81b3-102be6b4603c · outbound
This paper cites Transcending Scaling Laws with 0.1% Extra Compute.
Emergent Abilities of Large Language Models Transcending Scaling Laws with 0.1% Extra Compute
Reference 84
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.213482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8e9dda7a-1f7d-48ac-a15c-9b40a1618fca · outbound
This paper cites Emergent structures and training dynamics in large language models.
Emergent Abilities of Large Language Models Emergent structures and training dynamics in large language models
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.435332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ebeaed1a-9d1b-4ccb-bb44-32f92d275cdf · outbound
This paper cites LaMDA: Language Models for Dialog Applications.
Emergent Abilities of Large Language Models LaMDA: Language Models for Dialog Applications
Reference 86
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.217609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9501f5e2-3231-4eca-aef4-9e641769b10b · outbound
This paper cites A Simple Method for Commonsense Reasoning.
Emergent Abilities of Large Language Models A Simple Method for Commonsense Reasoning
Reference 87
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.229011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c2e2fcd7-b772-43f7-a518-6c368b7af8f0 · outbound
This paper cites What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?.
Emergent Abilities of Large Language Models What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?
Reference 88
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.233526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9a297e2c-994b-47d4-a7ca-185c83fb5b3b · outbound
This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.
Emergent Abilities of Large Language Models Self-Consistency Improves Chain of Thought Reasoning in Language Models
Reference 89
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T07:38:38.241152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fd117649-169a-4d97-ac92-1e6131be00ae · outbound
This paper cites Why do pretrained language models help in downstream tasks? A n analysis of head and prompt tuning.
Emergent Abilities of Large Language Models Why do pretrained language models help in downstream tasks? A n analysis of head and prompt tuning
Reference 90
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.543928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 67b8778d-34ef-42e2-94f6-08eb55eb9ab3 · outbound
This paper cites author Garrette, D.
Emergent Abilities of Large Language Models author Garrette, D
Reference 91
- Resolution
- metadata mismatch
- doi, observed 2026-05-11T07:38:37.872375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation effa2f77-15df-43a7-8fd9-2e956c4fde9e · outbound
This paper cites Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M.
Emergent Abilities of Large Language Models Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T07:38:38.509034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f78c3c6a-91da-47a3-8f71-6f451793d466 · outbound
This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.
Emergent Abilities of Large Language Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Reference 93
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T07:38:38.244938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8068f544-ee73-49d9-9c15-dac97c5a0a27 · outbound
This paper cites Ethical and social risks of harm from Language Models.
Emergent Abilities of Large Language Models Ethical and social risks of harm from Language Models
Reference 94
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:24:30.556046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2bd43404-74c5-4454-9eb2-272c6360b61d · outbound
This paper cites AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts.
Emergent Abilities of Large Language Models AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts
Reference 95
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.253443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9381c8c1-7999-412d-8a07-4f5229148934 · outbound
This paper cites PromptChainer: Chaining Large Language Model Prompts through Visual Programming.
Emergent Abilities of Large Language Models PromptChainer: Chaining Large Language Model Prompts through Visual Programming
Reference 96
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.261262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f42611a2-16fb-4e45-85b4-79505600d3e4 · outbound
This paper cites Memorizing Transformers.
Emergent Abilities of Large Language Models Memorizing Transformers
Reference 97
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:38:38.265155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 525c822b-1553-4daa-b2be-885ba8924286 · outbound
This paper cites An Explanation of In-context Learning as Implicit Bayesian Inference.
Emergent Abilities of Large Language Models An Explanation of In-context Learning as Implicit Bayesian Inference
Reference 98
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T22:22:08.467971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 238b72e3-a401-438a-8921-122fa5094db2 · outbound
This paper cites Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language.
Emergent Abilities of Large Language Models Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Reference 99
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T09:50:01.041344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 31769125-c945-4ef7-8c68-146c95877669 · outbound
This paper cites When Do You Need Billions of Words of Pretraining Data?.
Emergent Abilities of Large Language Models When Do You Need Billions of Words of Pretraining Data?
Reference 100
- Resolution
- verified exact
- doi, observed 2026-05-11T07:38:37.852689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation 6853969d-5d6f-4fcc-a987-4d506a18b6b2 · inbound
Atlas: Few-shot Learning with Retrieval Augmented Language Models cites this paper.
Atlas: Few-shot Learning with Retrieval Augmented Language Models Emergent Abilities of Large Language Models
Reference 26
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T13:48:43.187174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7cc0fdba-dd83-4a24-a5f3-cc835a78d9ca · inbound
Atlas: Few-shot Learning with Retrieval Augmented Language Models cites this paper.
Atlas: Few-shot Learning with Retrieval Augmented Language Models Emergent Abilities of Large Language Models
Reference 257
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T13:48:43.498827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dd9aad3a-6d13-4641-9d00-bb6de4987b85 · inbound
Large Language Models Can Self-Improve cites this paper.
Large Language Models Can Self-Improve Emergent Abilities of Large Language Models
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T17:00:48.282407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d0cd3606-387a-4966-b84e-6cd3416991a9 · inbound
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small cites this paper.
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small Emergent Abilities of Large Language Models
Reference 22
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 99228305-49a0-4c36-a676-a5d74aa87783 · inbound
Large Language Models Are Human-Level Prompt Engineers cites this paper.
Large Language Models Are Human-Level Prompt Engineers Emergent Abilities of Large Language Models
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T09:43:26.362112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d10e0a41-6e60-4b0a-aefe-cabf69f42c03 · inbound
Progress measures for grokking via mechanistic interpretability cites this paper.
Progress measures for grokking via mechanistic interpretability Emergent Abilities of Large Language Models
Reference 53
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b30c7fc9-64b1-4fb8-a142-a9acb7127a9f · inbound
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT cites this paper.
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Emergent Abilities of Large Language Models
Reference 23
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0d76d3da-662b-4834-89a3-a8e0d3877ae7 · inbound
ART: Automatic multi-step reasoning and tool-use for large language models cites this paper.
ART: Automatic multi-step reasoning and tool-use for large language models Emergent Abilities of Large Language Models
Reference 171
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f3599adb-7c54-4ef2-a12a-0175b26279ad · inbound
BloombergGPT: A Large Language Model for Finance cites this paper.
BloombergGPT: A Large Language Model for Finance Emergent Abilities of Large Language Models
Reference 126
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 99e38b9c-a4fa-406a-b7af-12cd54e0c5a2 · inbound
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face cites this paper.
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face Emergent Abilities of Large Language Models
Reference 19
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 868d9ca8-60dc-4b1c-afc7-5b3ad46aea2c · inbound
A Survey of Large Language Models cites this paper.
A Survey of Large Language Models Emergent Abilities of Large Language Models
Reference 33
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3e0a9b33-e47c-459b-8d47-4fd80dd50fa3 · inbound
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling cites this paper.
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling Emergent Abilities of Large Language Models
Reference 179
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T17:45:17.668699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b05350c4-aa35-44e0-9d5f-63a67ac46c21 · inbound
StarCoder: may the source be with you! cites this paper.
StarCoder: may the source be with you! Emergent Abilities of Large Language Models
Reference 225
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dd43b96c-d58f-4d8b-8b96-d30bac809ed8 · inbound
Towards Expert-Level Medical Question Answering with Large Language Models cites this paper.
Towards Expert-Level Medical Question Answering with Large Language Models Emergent Abilities of Large Language Models
Reference 58
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-24T04:32:33.521658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 187abd3b-a80d-4e11-b83f-6b61decf0f6e · inbound
Voyager: An Open-Ended Embodied Agent with Large Language Models cites this paper.
Voyager: An Open-Ended Embodied Agent with Large Language Models Emergent Abilities of Large Language Models
Reference 36
- Resolution
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- arxiv_id, observed 2026-05-11T07:38:38.557341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4f5a1443-9b46-4896-ab1a-eb93dc799768 · inbound
H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models cites this paper.
H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models Emergent Abilities of Large Language Models
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T18:00:50.130973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c9121710-739f-4bc4-bdf9-67dc62392e4f · inbound
Jailbroken: How Does LLM Safety Training Fail? cites this paper.
Jailbroken: How Does LLM Safety Training Fail? Emergent Abilities of Large Language Models
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T18:17:42.983677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 46bcbd97-f72d-4352-9415-87bde447b4c9 · 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 Emergent Abilities of Large Language Models
Reference 135
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T08:57:22.508828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 30f6f766-045b-46d7-a51b-f5c541740e31 · inbound
A Comprehensive Overview of Large Language Models cites this paper.
A Comprehensive Overview of Large Language Models Emergent Abilities of Large Language Models
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T20:32:45.572444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8955d826-60aa-4e4b-8e3c-0a45695e98e7 · inbound
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment cites this paper.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Emergent Abilities of Large Language Models
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.687309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1a21d127-f090-488c-938e-bfc91b89a115 · inbound
The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision) cites this paper.
The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision) Emergent Abilities of Large Language Models
Reference 135
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T23:26:06.421797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 283f633e-9c7a-429c-b807-f546a1cd8e1a · inbound
LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties cites this paper.
LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties Emergent Abilities of Large Language Models
Reference 2
- Resolution
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- local_arxiv, observed 2026-05-24T06:39:01.486433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 72b047ee-962d-4af7-bf54-5e5a2dbb2302 · inbound
MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices cites this paper.
MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices Emergent Abilities of Large Language Models
Reference 124
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T16:35:38.162089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 02025677-03fd-4f7c-859c-9c8b52f261cf · inbound
TrustLLM: Trustworthiness in Large Language Models cites this paper.
TrustLLM: Trustworthiness in Large Language Models Emergent Abilities of Large Language Models
Reference 87
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T11:17:08.451351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d864406d-1700-46c2-82f7-0c6a0912ad4e · inbound
CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology cites this paper.
CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology Emergent Abilities of Large Language Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T03:58:51.284684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eb1791a7-c616-4c5e-a2bf-f9cc0769db3c · inbound
Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts cites this paper.
Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts Emergent Abilities of Large Language Models
Reference 71
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-24T03:08:48.032124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 53140792-e07a-4483-b0a5-6d130e346d1e · inbound
WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? cites this paper.
WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? Emergent Abilities of Large Language Models
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T02:48:05.224731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e5dd4feb-0449-421c-9464-471a45b41e7f · inbound
LLM Agents can Autonomously Exploit One-day Vulnerabilities cites this paper.
LLM Agents can Autonomously Exploit One-day Vulnerabilities Emergent Abilities of Large Language Models
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T04:18:27.757421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 580745d5-4f8f-4a21-96e6-2086f9addc52 · inbound
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model cites this paper.
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model Emergent Abilities of Large Language Models
Reference 127
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:38:38.557341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2ebc0581-35a6-4aea-b51b-ed8538280270 · inbound
CHESS: Contextual Harnessing for Efficient SQL Synthesis cites this paper.
CHESS: Contextual Harnessing for Efficient SQL Synthesis Emergent Abilities of Large Language Models
Reference 75
- Resolution
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- local_arxiv, observed 2026-05-19T11:24:22.980779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 78e4f266-6a62-47be-a301-6cb7b3c4bf66 · inbound
Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions cites this paper.
Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Emergent Abilities of Large Language Models
Reference 67
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T00:53:40.693651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2dea03fb-5a99-45a4-b0d4-245ebf4621f9 · inbound
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation cites this paper.
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation Emergent Abilities of Large Language Models
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:09:17.091390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 946079db-9372-4e75-9da5-5c1f7f0fde65 · inbound
Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark cites this paper.
Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark Emergent Abilities of Large Language Models
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T20:05:47.859615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 15e242e8-bc3a-40c0-ab24-f0b2209e5ceb · inbound
$\pi_0$: A Vision-Language-Action Flow Model for General Robot Control cites this paper.
$\pi_0$: A Vision-Language-Action Flow Model for General Robot Control Emergent Abilities of Large Language Models
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.557341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d70bf8f5-c5eb-49df-a022-a4e406bfa51b · inbound
Exploring Cross-lingual Latent Transplantation: Mutual Opportunities and Open Challenges cites this paper.
Exploring Cross-lingual Latent Transplantation: Mutual Opportunities and Open Challenges Emergent Abilities of Large Language Models
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T07:05:29.063896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7990d5d0-19c3-4a94-8683-6567263e186d · inbound
A ghost mechanism: An analytical model of abrupt learning in recurrent networks cites this paper.
A ghost mechanism: An analytical model of abrupt learning in recurrent networks Emergent Abilities of Large Language Models
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T06:32:38.816815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f2df5dc4-3181-4768-bb50-54250f480f5f · inbound
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models cites this paper.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Emergent Abilities of Large Language Models
Reference 161
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.355545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ef61ae56-d75b-43f7-873d-a1a8fe758d8f · inbound
Large Language Models for Multi-Robot Systems: A Survey cites this paper.
Large Language Models for Multi-Robot Systems: A Survey Emergent Abilities of Large Language Models
Reference 121
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T04:32:32.434509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c0333d83-c47b-46d6-b5c1-97487bbc50a0 · inbound
Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model cites this paper.
Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Emergent Abilities of Large Language Models
Reference 157
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T08:02:23.789432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 98a36c55-5759-400b-9a7a-db4a231b02fb · inbound
Towards an AI co-scientist cites this paper.
Towards an AI co-scientist Emergent Abilities of Large Language Models
Reference 140
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T13:02:44.898177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b234d219-3bc4-41f8-919c-e8b04ede32fa · inbound
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey cites this paper.
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey Emergent Abilities of Large Language Models
Reference 185
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T17:18:53.325411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b0a446c2-90df-4ebe-8c2f-f2952e4e834d · inbound
Bridging Language Models and Financial Analysis cites this paper.
Bridging Language Models and Financial Analysis Emergent Abilities of Large Language Models
Reference 105
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T01:12:20.824081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 513943c6-83f8-488b-86a1-a8556609d876 · inbound
A Survey of Scaling in Large Language Model Reasoning cites this paper.
A Survey of Scaling in Large Language Model Reasoning Emergent Abilities of Large Language Models
Reference 215
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T21:22:09.122369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation deb0be3e-7613-4e73-b85d-a0b13a040b50 · inbound
TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning cites this paper.
TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Emergent Abilities of Large Language Models
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T14:01:38.420484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8b65a4f2-b929-464a-b458-e5195681bfd9 · inbound
Emerging Properties in Unified Multimodal Pretraining cites this paper.
Emerging Properties in Unified Multimodal Pretraining Emergent Abilities of Large Language Models
Reference 82
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:38:38.557341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 342cc62a-40bd-4087-ab76-0a0b8942dbe2 · inbound
Improving LLM First-Token Predictions in Multiple-Choice Question Answering via Output Prefilling cites this paper.
Improving LLM First-Token Predictions in Multiple-Choice Question Answering via Output Prefilling Emergent Abilities of Large Language Models
Reference 42
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T14:21:39.618072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4f32b0c1-03db-4b56-b295-a142c36e2f38 · inbound
Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models cites this paper.
Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models Emergent Abilities of Large Language Models
Reference 65
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:40:33.112614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b93c28db-1928-47d0-bbf6-5ca10437692a · inbound
Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning cites this paper.
Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning Emergent Abilities of Large Language Models
Reference 212
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T01:01:10.353590Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 26a70848-ea1f-4ad9-9304-2e8de352da07 · inbound
Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems cites this paper.
Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems Emergent Abilities of Large Language Models
Reference 140
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T04:42:04.889794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ec993b53-e6d7-43fc-8601-4aeed6d581fb · inbound
The Ratchet Effect in Silico: How Interaction Drives Cumulative Intelligence in Large Language Models cites this paper.
The Ratchet Effect in Silico: How Interaction Drives Cumulative Intelligence in Large Language Models Emergent Abilities of Large Language Models
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T02:41:59.967268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 69162499-f8bb-4f62-9f82-8a6ecb383cc9 · inbound
The Role of Quantum Computing in Advancing Scientific High-Performance Computing: A perspective from the ADAC Institute cites this paper.
The Role of Quantum Computing in Advancing Scientific High-Performance Computing: A perspective from the ADAC Institute Emergent Abilities of Large Language Models
Reference 143
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T22:21:52.832735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fc51e4cc-27d2-474d-85f2-f847e045a89e · inbound
Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey cites this paper.
Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey Emergent Abilities of Large Language Models
Reference 112
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T18:11:43.079829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5ee4405e-c1fa-4fce-889a-2ce71fb29c0f · inbound
Interpretable Physics Reasoning and Performance Taxonomy in Vision-Language Models cites this paper.
Interpretable Physics Reasoning and Performance Taxonomy in Vision-Language Models Emergent Abilities of Large Language Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:58:34.051204Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7af0801a-b696-463b-b888-82f546acb96b · inbound
TraceRAG: A LLM-Based Framework for Explainable Android Malware Detection and Behavior Analysis cites this paper.
TraceRAG: A LLM-Based Framework for Explainable Android Malware Detection and Behavior Analysis Emergent Abilities of Large Language Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:52:31.716223Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d611a4fc-ea2e-45be-ab13-5810a935396e · inbound
BRoverbs -- Measuring how much LLMs understand Portuguese proverbs cites this paper.
BRoverbs -- Measuring how much LLMs understand Portuguese proverbs Emergent Abilities of Large Language Models
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:58:55.511657Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d343159e-61e0-4b36-891a-d93de8ad145f · inbound
YouthSafe: A Youth-Centric Safety Benchmark and Safeguard Model for Large Language Models cites this paper.
YouthSafe: A Youth-Centric Safety Benchmark and Safeguard Model for Large Language Models Emergent Abilities of Large Language Models
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:55:56.581905Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f2e4771-c53b-441f-bcac-343264f18081 · inbound
Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference cites this paper.
Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference Emergent Abilities of Large Language Models
Reference 73
- Resolution
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- local_arxiv, observed 2026-05-18T17:51:42.079075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a4bc3e8f-0587-4874-971e-8cf2314ee91e · inbound
Public Data Assisted Differentially Private In-Context Learning cites this paper.
Public Data Assisted Differentially Private In-Context Learning Emergent Abilities of Large Language Models
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:28:50.610163Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc7910a8-b8fd-4838-99dc-0860e58cd55b · inbound
The Few-shot Dilemma: Over-prompting Large Language Models cites this paper.
The Few-shot Dilemma: Over-prompting Large Language Models Emergent Abilities of Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:31:55.506715Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4105b1b-f7ce-46a6-87d4-ba7f3fcd8efa · inbound
Towards a Physics Foundation Model cites this paper.
Towards a Physics Foundation Model Emergent Abilities of Large Language Models
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:33:00.321795Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4fecf760-912d-4157-8b5f-77a225f22400 · inbound
Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs cites this paper.
Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Emergent Abilities of Large Language Models
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:57:52.507655Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 348889bd-e45a-4be7-be25-ee6416d71be5 · inbound
Video models are zero-shot learners and reasoners cites this paper.
Video models are zero-shot learners and reasoners Emergent Abilities of Large Language Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T02:16:45.636483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 20356b6d-eea2-4abb-b4ae-36e7c904f3d1 · inbound
Resource-Aware LLM Reasoning for Mobile Edge General Intelligence cites this paper.
Resource-Aware LLM Reasoning for Mobile Edge General Intelligence Emergent Abilities of Large Language Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T14:49:49.353530Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7206f3ff-3703-49b9-bd9b-7eede5c2e6b6 · inbound
OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling cites this paper.
OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Emergent Abilities of Large Language Models
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T14:43:04.197536Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a32cf55a-0359-4b57-b055-0f8711cce19d · inbound
Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs cites this paper.
Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs Emergent Abilities of Large Language Models
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T05:30:55.072724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 17c3d065-b494-448f-80f4-4c536249bf21 · inbound
MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use Distillation cites this paper.
MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use Distillation Emergent Abilities of Large Language Models
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:55:58.778667Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac24e0fa-fbcd-4bf1-8767-3a99fce60394 · inbound
Empathic Prompting: Non-Verbal Context Integration for Multimodal LLM Conversations cites this paper.
Empathic Prompting: Non-Verbal Context Integration for Multimodal LLM Conversations Emergent Abilities of Large Language Models
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:26:52.258306Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce8f1c7a-1a20-4a3c-a6a7-a44c4d7a2c24 · inbound
Graph-Enhanced Policy Optimization in LLM Agent Training cites this paper.
Graph-Enhanced Policy Optimization in LLM Agent Training Emergent Abilities of Large Language Models
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:17:44.660790Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ca4b71f-68df-4d73-a506-d7b7e32daeeb · inbound
SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control cites this paper.
SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control Emergent Abilities of Large Language Models
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:31.954631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 85e88302-bf0f-45d7-a3f0-1deb6ac5536c · inbound
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs cites this paper.
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs Emergent Abilities of Large Language Models
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T19:54:20.293064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 912f8e12-235f-4dec-bcd4-fc186691ac67 · inbound
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs cites this paper.
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs Emergent Abilities of Large Language Models
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T21:44:02.867994Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 542dc519-6c11-4867-b0eb-0d02205cfe1f · inbound
The 4/$\delta$ Bound: Designing Predictable LLM-Verifier Systems for Formal Method Guarantee cites this paper.
The 4/$\delta$ Bound: Designing Predictable LLM-Verifier Systems for Formal Method Guarantee Emergent Abilities of Large Language Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:22:03.912388Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e35459ae-217d-4d84-b5ba-3460f5e9b2c0 · inbound
Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches cites this paper.
Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches Emergent Abilities of Large Language Models
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T07:25:29.082543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a61ec76d-2605-48e0-90bd-c02f548df89c · inbound
Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches cites this paper.
Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches Emergent Abilities of Large Language Models
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T16:38:11.339000Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b418ee40-11b2-4294-ac28-5a2b5f564e32 · inbound
Unifying Learning Dynamics and Generalization in Transformers Scaling Law cites this paper.
Unifying Learning Dynamics and Generalization in Transformers Scaling Law Emergent Abilities of Large Language Models
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T14:02:56.734806Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c605851-c43a-4ffb-b1de-8914a8557d8f · inbound
Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models cites this paper.
Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models Emergent Abilities of Large Language Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T12:36:13.023195Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3379b5f8-0c03-48b1-955a-b39812a63abd · inbound
Generative Semantic Multi-Object Tracking: A Large-Scale Benchmark and an MLLM-Driven Reasoning Framework cites this paper.
Generative Semantic Multi-Object Tracking: A Large-Scale Benchmark and an MLLM-Driven Reasoning Framework Emergent Abilities of Large Language Models
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T11:28:10.989364Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3015a1ff-9d4d-4135-b2d2-3b3af5947dc6 · inbound
LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities cites this paper.
LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities Emergent Abilities of Large Language Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T10:30:41.712632Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a51b0f2b-a215-4a1d-bccb-ea366060b5a9 · inbound
Large Language Model Agent for User-friendly Chemical Process Simulations cites this paper.
Large Language Model Agent for User-friendly Chemical Process Simulations Emergent Abilities of Large Language Models
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T11:51:30.106171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bf49e67f-2f5a-4c4e-925d-cfbd9a228d1e · inbound
"The Whole Is Greater Than the Sum of Its Parts": A Compatibility-Aware Multi-Teacher CoT Distillation Framework cites this paper.
"The Whole Is Greater Than the Sum of Its Parts": A Compatibility-Aware Multi-Teacher CoT Distillation Framework Emergent Abilities of Large Language Models
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T15:20:17.448838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3c0e65c0-5648-46ac-bff6-fe5a71dbfd8e · inbound
LLMOrbit: A Circular Taxonomy of Large Language Models -From Scaling Walls to Agentic AI Systems cites this paper.
LLMOrbit: A Circular Taxonomy of Large Language Models -From Scaling Walls to Agentic AI Systems Emergent Abilities of Large Language Models
Reference 157
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T12:47:53.764308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4b02c48d-e8e6-41fd-86f5-952c4fbc3e1f · inbound
Parameter-Efficient Multi-Task Fine-Tuning in Code-Related Tasks cites this paper.
Parameter-Efficient Multi-Task Fine-Tuning in Code-Related Tasks Emergent Abilities of Large Language Models
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T09:01:34.288512Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 929560b9-ad29-448b-880f-c4a4211356e5 · inbound
The Script is All You Need: An Agentic Framework for Long-Horizon Dialogue-to-Cinematic Video Generation cites this paper.
The Script is All You Need: An Agentic Framework for Long-Horizon Dialogue-to-Cinematic Video Generation Emergent Abilities of Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T08:16:22.448862Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 966541c9-6a62-4ef1-b1a0-375cd2fee106 · inbound
Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation cites this paper.
Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Emergent Abilities of Large Language Models
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T06:38:25.164751Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87c317db-1899-499d-bee1-d32b921a2897 · inbound
Benchmark Leakage Trap: Can We Trust LLM-based Recommendation? cites this paper.
Benchmark Leakage Trap: Can We Trust LLM-based Recommendation? Emergent Abilities of Large Language Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T23:32:09.314415Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1dd1d5f3-712b-49a5-91b9-1c5001637634 · inbound
Multi-Agent Home Energy Management Assistant cites this paper.
Multi-Agent Home Energy Management Assistant Emergent Abilities of Large Language Models
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:26:39.746741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9b7b649b-04ae-42b5-a531-feb2875e03ef · inbound
How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks cites this paper.
How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks Emergent Abilities of Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T19:32:20.112627Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 830fa83e-6708-46cb-8f58-e4ca9b34f78e · inbound
Identification of quantum generative circuits with parallel quantum neural network cites this paper.
Identification of quantum generative circuits with parallel quantum neural network Emergent Abilities of Large Language Models
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T17:26:22.229215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7da06efa-aa55-4472-95d9-d727cbf38e67 · inbound
Real Faults in Model Context Protocol (MCP) Software: a Comprehensive Taxonomy cites this paper.
Real Faults in Model Context Protocol (MCP) Software: a Comprehensive Taxonomy Emergent Abilities of Large Language Models
Reference 161
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T05:55:44.875944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1402d43b-96c7-4f94-8e23-7d33e5cf40fe · inbound
FactorEngine: A Program-level Knowledge-Infused Factor Mining Framework for Quantitative Investment cites this paper.
FactorEngine: A Program-level Knowledge-Infused Factor Mining Framework for Quantitative Investment Emergent Abilities of Large Language Models
Reference 18
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T10:35:27.677127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ad821678-c5e7-4073-bd1b-a4c557160484 · inbound
Demystifying Video Reasoning cites this paper.
Demystifying Video Reasoning Emergent Abilities of Large Language Models
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T23:27:11.006580Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1102ae90-26a7-48bd-b9d1-0cf1f919283e · inbound
Demystifying Video Reasoning cites this paper.
Demystifying Video Reasoning Emergent Abilities of Large Language Models
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T02:33:59.253418Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ccecc960-95d8-4147-8324-066092e8b1d8 · inbound
Beyond Code Snippets: Benchmarking LLMs on Repository-Level Question Answering cites this paper.
Beyond Code Snippets: Benchmarking LLMs on Repository-Level Question Answering Emergent Abilities of Large Language Models
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T22:28:04.948130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 165c81a2-6f5f-4e45-9b79-8d1763f94236 · inbound
MOOZY: A Patient-First Foundation Model for Computational Pathology cites this paper.
MOOZY: A Patient-First Foundation Model for Computational Pathology Emergent Abilities of Large Language Models
Reference 90
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T17:15:51.142086Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcd2c3ee-3cf9-4cf1-9702-3c2c58cd367d · inbound
When Do Hallucinations Arise? A Graph Perspective on the Evolution of Path Reuse and Path Compression cites this paper.
When Do Hallucinations Arise? A Graph Perspective on the Evolution of Path Reuse and Path Compression Emergent Abilities of Large Language Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T13:07:00.928770Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42e1162e-79d0-4a5b-803d-5b4bfe795354 · inbound
Social Dynamics as Critical Vulnerabilities that Undermine Objective Decision-Making in LLM Collectives cites this paper.
Social Dynamics as Critical Vulnerabilities that Undermine Objective Decision-Making in LLM Collectives Emergent Abilities of Large Language Models
Reference 10
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-11T07:38:38.557341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0577711f-10fc-4d59-8b56-6908abd485dc · inbound
MMEmb-R1: Reasoning-Enhanced Multimodal Embedding with Pair-Aware Selection and Adaptive Control cites this paper.
MMEmb-R1: Reasoning-Enhanced Multimodal Embedding with Pair-Aware Selection and Adaptive Control Emergent Abilities of Large Language Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.557341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 899f61ab-4818-45d8-80a6-f0e41fa39a08 · inbound
Limits of Difficulty Scaling: Hard Samples Yield Diminishing Returns in GRPO-Tuned SLMs cites this paper.
Limits of Difficulty Scaling: Hard Samples Yield Diminishing Returns in GRPO-Tuned SLMs Emergent Abilities of Large Language Models
Reference 3
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-11T07:38:38.557341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 57d76e04-e006-47b1-948d-1ddc52b6b185 · inbound
The Shrinking Lifespan of LLMs in Science cites this paper.
The Shrinking Lifespan of LLMs in Science Emergent Abilities of Large Language Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.557341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a7cae13d-ac24-4088-ab12-f0b4e308643d · inbound
The Cartesian Cut in Agentic AI cites this paper.
The Cartesian Cut in Agentic AI Emergent Abilities of Large Language Models
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:38:38.557341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.