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Paper Citation Record · LEDGER

Internet-augmented language models through few-shot prompting for open-domain question answering

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2203.05115.

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

pith.paper-citation-record.v1
2203.05115 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:40:42.520412Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T01:17:30.689351Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d9493924-86eb-47ba-bfc5-8776a2a3aec3 · inbound

Atlas: Few-shot Learning with Retrieval Augmented Language Models cites this paper.

Atlas: Few-shot Learning with Retrieval Augmented Language Models Internet-augmented language models through few-shot prompting for open-domain question answering

Reference 216

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T13:48:43.427860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-16T13:48:43.024120Z digest=sha256:f3bc9b4faba0ba4cb38dbf7a1eb3ed9f44225f7d2a41810b09eb02d66a9e85ea

Observation e400c8c3-6f78-4fc4-956a-199757ee495a · 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 Internet-augmented language models through few-shot prompting for open-domain question answering

Reference 162

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T19:03:06.296727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-16T19:03:05.597295Z digest=sha256:09c9f676be57d90cb076bbcf5cb303258a0d522ff85a417740749ae0ae6cd9c1

Observation 33759cfa-a6c1-4b2d-8db4-59ff08a0257f · inbound

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency cites this paper.

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

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T18:36:18.551998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T18:36:18.342052Z digest=sha256:94b60f568e66a869087eba0a9e67a67d2e87d568ea1636962f21ea154e8393fa

Observation de6fdfa6-a0eb-4973-8a9f-247ed0cf9cb2 · inbound

Gorilla: Large Language Model Connected with Massive APIs cites this paper.

Gorilla: Large Language Model Connected with Massive APIs Internet-augmented language models through few-shot prompting for open-domain question answering

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:22:17.356452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T23:22:16.879418Z digest=sha256:f9a55f73dd31f0c953204a3df0ed0486c9d938299f7ba3740d1109a7f75f8d2c

Observation c8d637db-7fe1-46a4-bf17-726b7ffc132f · inbound

ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models cites this paper.

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

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T18:15:55.679887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T18:15:55.525596Z digest=sha256:25a503c1a5bac267ec73b955987eb9cbbecbf0900778cbae0063c7f00d13e0c8

Observation 516d04e5-c94b-455b-bfc0-d5f768c48c0b · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models Internet-augmented language models through few-shot prompting for open-domain question answering

Reference 214

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:32:45.591384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:a352a16aeaf0b75e246ef8f1a98f2b359ad3ffd52e223a532253508036c4b2cb

Observation 13045fb0-f327-41fa-bf67-60127cf65800 · inbound

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines cites this paper.

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

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:57:47.424487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T18:57:46.756656Z digest=sha256:741269a8db5151bec25fd0690c5b98f3b79bea10df6482cb833d8887844f53c8

Observation 20becb79-1ab1-4273-86be-f1b99645dd67 · inbound

Retrieval-Augmented Generation for Natural Language Processing: A Survey cites this paper.

Retrieval-Augmented Generation for Natural Language Processing: A Survey Internet-augmented language models through few-shot prompting for open-domain question answering

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:08:35.679605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T23:06:41.081461Z digest=sha256:3e4eaf77de327fb3a3e12ce4f2b1f97044d798b5a1ec02d2839d93ca0d8e6365

Observation 6af1c6f2-1292-4161-b196-543d6ba26b1c · inbound

Syntriever: How to Train Your Retriever with Synthetic Data from LLMs cites this paper.

Syntriever: How to Train Your Retriever with Synthetic Data from LLMs Internet-augmented language models through few-shot prompting for open-domain question answering

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-09T00:40:42.520412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:40:42.520412Z digest=sha256:991818d8fe251dbe7e4d3919527e4671248b41f8ed5a19b6b47fa6a15c73ba27

Observation 21b1a432-20d4-4dee-986e-403b4b5517f2 · inbound

IA-T2I: Internet-Augmented Text-to-Image Generation cites this paper.

IA-T2I: Internet-Augmented Text-to-Image Generation Internet-augmented language models through few-shot prompting for open-domain question answering

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T15:17:27.299485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:17:27.299485Z digest=sha256:a5edace13984426f9b2849a9f33516095697de13877317087ea02882f169b91b

Observation 9b8a19e7-ea0b-43ce-98e6-35c4f913995f · inbound

KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing cites this paper.

KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing Internet-augmented language models through few-shot prompting for open-domain question answering

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T14:02:08.075117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:02:08.075117Z digest=sha256:848c8b6e1b4d0bf90d9e248379721238577f4d640e432481e5cf7e60ec5d1c42

Observation 2ee04ea2-5581-4a95-831b-22d7bbfc8eca · inbound

Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering cites this paper.

Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering Internet-augmented language models through few-shot prompting for open-domain question answering

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:35.352631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:35.352631Z digest=sha256:04ae12d0dacf66ada0e95348e37cf5b42dd87d1c90e5b0c102177c3836f1d4e9

Observation fcf35cfb-0034-4dcc-af43-7b1d709798da · inbound

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:52:16.148692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T11:49:36.574471Z digest=sha256:159860bd10dd13cd1942a1b2690ce3f2a9a53def6c3a5d37bfdc9ac86c0b8d0a

Observation 7538546d-82ba-4388-8348-3d50c4e685e2 · inbound

Harnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-Augmentation cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:33.395421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:33.395421Z digest=sha256:a76c7339733b2ef67e2a40d29d63add4d1a7c4340334b9df116203b7da5019bc

Observation a8c648a6-fee2-46a1-8c06-629b67439b5d · inbound

Beyond Independent Passages: Adaptive Passage Combination Retrieval for Retrieval Augmented Open-Domain Question Answering cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:01:29.189195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:01:29.189195Z digest=sha256:04a1d5d997a853f6d755b3e1f1a8b05b53d7f723ac93cb16c0883a6cf5974ebe

Observation 935a4d2f-bb3b-49f1-ba0f-a16d1982cffd · inbound

BLUEX Revisited: Enhancing Benchmark Coverage with Automatic Captioning cites this paper.

BLUEX Revisited: Enhancing Benchmark Coverage with Automatic Captioning Internet-augmented language models through few-shot prompting for open-domain question answering

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T14:29:24.903191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:29:24.903191Z digest=sha256:58c233c8df0937febb2dcefa4a497e3289f8ddbae59de576ed1b7831405082dc

Observation 001ca766-b6b8-4400-86dc-7cfae0dccca2 · inbound

Toward a Safe Internet of Agents cites this paper.

Toward a Safe Internet of Agents Internet-augmented language models through few-shot prompting for open-domain question answering

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-17T03:18:56.878307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T03:16:40.622915Z digest=sha256:41bfe601696fdcba269b270ba16f34f36994baff713bd2c2d09f6d0283612d98

Observation 8163d427-14bc-4774-87c9-e28f715ec748 · inbound

MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation cites this paper.

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

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T17:13:00.957432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T17:12:38.618233Z digest=sha256:4fd80bdd2466f0330e50931cbbf3aab81cd2584e55027062c397e64063ff97e5

Observation f09fea86-0b87-4b84-a046-3d104bb7d17a · inbound

MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-07-14T19:54:25.294067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T19:54:25.294067Z digest=sha256:063bcf0585b27db93cf431e1bdb4a1133796ddbbda0c44d37fa9be4a194a1ea8

Observation 51285c2c-bdbe-4999-9290-f0ecbc52d93f · inbound

ROSE: Retrieval-Oriented Segmentation Enhancement cites this paper.

ROSE: Retrieval-Oriented Segmentation Enhancement Internet-augmented language models through few-shot prompting for open-domain question answering

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T13:40:26.915321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T13:39:26.841016Z digest=sha256:0b426eaad1b3f11be0c2eb8ce61bbd523a7c7bf1def1289f258c4fb6cf90cf24

Observation 8cce9fde-8264-40e1-a5b1-31b92f0b0266 · inbound

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs cites this paper.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Internet-augmented language models through few-shot prompting for open-domain question answering

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T01:17:30.691003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:d0cc3214b7a6e336be038f54cf85a41078a565e032d549c04e6ac29c2b9f7bc6

Observation 0ea5e10c-ac78-4e3e-a63a-4a5171111fea · inbound

PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption cites this paper.

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

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T23:47:27.148156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-02T23:42:23.695930Z digest=sha256:b2d3383b00e46daf0afd603891f998e1bc9a2d9ee21d4cdc50ae79ff55e75b9a