Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2203.05115.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:20:33.395421Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T01:17:30.689351Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation d9493924-86eb-47ba-bfc5-8776a2a3aec3 · inbound
Atlas: Few-shot Learning with Retrieval Augmented Language Models Internet-augmented language models through few-shot prompting for open-domain question answering
Reference 216
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e400c8c3-6f78-4fc4-956a-199757ee495a · inbound
ART: Automatic multi-step reasoning and tool-use for large language models Internet-augmented language models through few-shot prompting for open-domain question answering
Reference 162
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 33759cfa-a6c1-4b2d-8db4-59ff08a0257f · inbound
LLM+P: Empowering Large Language Models with Optimal Planning Proficiency Internet-augmented language models through few-shot prompting for open-domain question answering
Reference 60
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation de6fdfa6-a0eb-4973-8a9f-247ed0cf9cb2 · inbound
Gorilla: Large Language Model Connected with Massive APIs Internet-augmented language models through few-shot prompting for open-domain question answering
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c8d637db-7fe1-46a4-bf17-726b7ffc132f · inbound
ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models Internet-augmented language models through few-shot prompting for open-domain question answering
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 516d04e5-c94b-455b-bfc0-d5f768c48c0b · inbound
A Comprehensive Overview of Large Language Models Internet-augmented language models through few-shot prompting for open-domain question answering
Reference 214
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 13045fb0-f327-41fa-bf67-60127cf65800 · inbound
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines Internet-augmented language models through few-shot prompting for open-domain question answering
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 20becb79-1ab1-4273-86be-f1b99645dd67 · inbound
Retrieval-Augmented Generation for Natural Language Processing: A Survey Internet-augmented language models through few-shot prompting for open-domain question answering
Reference 99
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fcf35cfb-0034-4dcc-af43-7b1d709798da · inbound
From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems Internet-augmented language models through few-shot prompting for open-domain question answering
Reference 80
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7538546d-82ba-4388-8348-3d50c4e685e2 · inbound
Harnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-Augmentation Internet-augmented language models through few-shot prompting for open-domain question answering
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8c648a6-fee2-46a1-8c06-629b67439b5d · inbound
Beyond Independent Passages: Adaptive Passage Combination Retrieval for Retrieval Augmented Open-Domain Question Answering Internet-augmented language models through few-shot prompting for open-domain question answering
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 935a4d2f-bb3b-49f1-ba0f-a16d1982cffd · inbound
BLUEX Revisited: Enhancing Benchmark Coverage with Automatic Captioning Internet-augmented language models through few-shot prompting for open-domain question answering
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 001ca766-b6b8-4400-86dc-7cfae0dccca2 · inbound
Toward a Safe Internet of Agents Internet-augmented language models through few-shot prompting for open-domain question answering
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8163d427-14bc-4774-87c9-e28f715ec748 · inbound
MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation Internet-augmented language models through few-shot prompting for open-domain question answering
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f09fea86-0b87-4b84-a046-3d104bb7d17a · inbound
MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation Internet-augmented language models through few-shot prompting for open-domain question answering
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51285c2c-bdbe-4999-9290-f0ecbc52d93f · inbound
ROSE: Retrieval-Oriented Segmentation Enhancement Internet-augmented language models through few-shot prompting for open-domain question answering
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8cce9fde-8264-40e1-a5b1-31b92f0b0266 · inbound
Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Internet-augmented language models through few-shot prompting for open-domain question answering
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0ea5e10c-ac78-4e3e-a63a-4a5171111fea · inbound
PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption Internet-augmented language models through few-shot prompting for open-domain question answering
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.