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Paper Citation Record · LEDGER

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

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.

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 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:20:33.395421Z

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-16T13:48:43.024120Z digest=sha256:756f7d75a511dfbf358a408752d2267e301f74c52df369534aa217306bc8447c

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-16T19:03:05.597295Z digest=sha256:a6be6374435a9e60bd8543212fabd9f002fd4b1f65f469e7a8e95b0c8a6ee0d9

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-14T18:36:18.342052Z digest=sha256:ec3014d5fd613f73b84948fda7e6caa28f7beb30ce6b9ebf028827774399a69b

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T23:22:16.879418Z digest=sha256:bf67eb02614927b99ffb99ef20e563ff94c18f6417ec88b34150ac08ebbf5272

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T18:15:55.525596Z digest=sha256:dad6c3750b023adb2ab298f4f2684ebcfa527278631dd9ed28f8925d6d29dcb5

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:2d67ef9f15d2f2f98b0242ad8ed4cdae2fbbf48c710a49a1dd0f42a52ad04022

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-11T18:57:46.756656Z digest=sha256:1a23963bb429bbe94bee4b2862ac69bc574c05feba3b0778bdc45b7bbede527f

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:06:41.081461Z digest=sha256:a8c3b49ddc9daf511a766c3ee103ff94fbb72ff315f4a95c796c6cc6928143ba

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T11:49:36.574471Z digest=sha256:d3d3ee3100e7f9602eb931921db6924248ff4bd6b434f03005c8f3d572e38172

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=sha256:58a40de965d7c4901c63b00439c57c3ae1f34ac7d9316f74ec526ede394d282f

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:a2cdcd234aaf41738fc73fbbd71e12f667de34d5b1c185c362c8604d7029d747

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:c00246e3f8340192cc83dd7807353f0351b42caecbb4c6c6f79a27fc415d5ba8

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:16:40.622915Z digest=sha256:7283e880a6202d55bc0f727e3b83298b56d64565d957ebc2a64dfe260e8a8298

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T17:12:38.618233Z digest=sha256:19c6108faa1a208c8136c6d6a228d2778bb21fcb5190813e8c2551b1a8bdc7d6

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T13:39:26.841016Z digest=sha256:ad6105e6d7b5150ae6fa9d56f5c26980503dbf69214e24c221ae1e8b237b3d21

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:df5f4a1bf63ab9262cf59ad2e876f04fdf18c6ce1786193c9320b4d6a37f73bc

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-07-02T23:42:23.695930Z digest=sha256:9680f8ba8c1d4f2c763747580fa3c7537304f4d99ba19270a58cddfac9b6b981