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Paper Citation Record · LEDGER

A Survey on Retrieval-Augmented Text Generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2202.01110.

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

pith.paper-citation-record.v1
2202.01110 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:24:59.615010Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T02:15:55.494007Z

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 dc44ab41-300d-4d71-b197-abaa0a767c78 · 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 A Survey on Retrieval-Augmented Text Generation

Reference 107

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T19:03:06.130642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-16T19:03:05.597295Z digest=sha256:7cfa80eb0d94c9d301f3aaa5f5710bbe7c6021ade905bda95e50f8ae816e3b26

Observation 490d2b20-b3c7-4304-a9ac-92910e6a9ae7 · inbound

Corrective Retrieval Augmented Generation cites this paper.

Corrective Retrieval Augmented Generation A Survey on Retrieval-Augmented Text Generation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-12T11:19:17.327897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T11:19:17.120464Z digest=sha256:4c3bed6ce7e0cc6f47d1220d3d8d8de9f8d2b12d5cfe4f404c3357ad47f6aa8b

Observation 1496464f-c7af-405d-ba49-2bcf97116410 · inbound

Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.

Retrieval-Augmented Generation for AI-Generated Content: A Survey A Survey on Retrieval-Augmented Text Generation

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:32:17.325944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T13:32:17.177021Z digest=sha256:a918bfd3512d64ac4d146ea3667aa02d74ebadc05023a7666ba2787ef52d0b51

Observation e3cee78d-6ecf-4f4d-9d1a-24479855e858 · inbound

A Survey on Retrieval-Augmented Text Generation for Large Language Models cites this paper.

A Survey on Retrieval-Augmented Text Generation for Large Language Models A Survey on Retrieval-Augmented Text Generation

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:15:55.496041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T02:15:05.379583Z digest=sha256:b1dba15750f6567fae99715607b26bb456fa28ae4f005d1a80c9455c87b11c37

Observation 43ad76d4-315c-4460-aaec-940a381de2ca · inbound

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

Retrieval-Augmented Generation for Natural Language Processing: A Survey A Survey on Retrieval-Augmented Text Generation

Reference 103

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:08:35.714216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T23:06:41.081461Z digest=sha256:09aace3005aa2dfe74c02abb7d471c26fd4a4a6cda06c18ae24bb20b462ccada

Observation fb731016-e68f-4e27-a695-70cb3df7d58e · inbound

Retrieval Augmented Time Series Forecasting cites this paper.

Retrieval Augmented Time Series Forecasting A Survey on Retrieval-Augmented Text Generation

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:03:12.643885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T16:59:20.386522Z digest=sha256:8ba0c642dc5102fca663e86139c23db6ac875ede65560c34ecf8e3b1a8f58a0d

Observation 362b565d-e06b-4aaf-8d05-2de0bacc07a1 · inbound

Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.

Retrieval-Augmented Generation with Graphs (GraphRAG) A Survey on Retrieval-Augmented Text Generation

Reference 227

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.547538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:47e67dd14ba200091cbd4eed0104b2e0df6c7a3189120accd5e9fd8eeb081588

Observation d160bdeb-e920-48bd-90a8-0e718f3a8358 · inbound

DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search cites this paper.

DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search A Survey on Retrieval-Augmented Text Generation

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T14:24:59.615010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:24:59.615010Z digest=sha256:a3634291b47386f1ded1c8dff1d7729a63bb42730442e89363d4bfc440ec0a32

Observation 9a09beed-4d50-45cb-a721-356b1e78b51b · inbound

Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem cites this paper.

Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem A Survey on Retrieval-Augmented Text Generation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T05:22:49.541591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:22:49.541591Z digest=sha256:369676d45cd21a5c51758770d832c1ee4d6400c2216ce61f5980d85f09888291

Observation 63c30c01-4924-4d0e-af86-199942628ee1 · inbound

Enhancing Large Language Models with Reliable Knowledge Graphs cites this paper.

Enhancing Large Language Models with Reliable Knowledge Graphs A Survey on Retrieval-Augmented Text Generation

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:57.987668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:57.987668Z digest=sha256:b2a4fb3cc33b2657602da83ed2e0c30b05c35b03e8a0853cc7da31616a7444d5

Observation 8cfbbf79-a2f6-41db-9894-1338e104fc32 · inbound

Multi-Modal Requirements Data-based Acceptance Criteria Generation using LLMs cites this paper.

Multi-Modal Requirements Data-based Acceptance Criteria Generation using LLMs A Survey on Retrieval-Augmented Text Generation

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-05T22:34:14.589249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:34:14.589249Z digest=sha256:a9238d8795f48d84278ceb08cdec394a6c98d7703fc2fed3f71d928298e7b97b

Observation 24bc312a-511f-4491-8dc5-bf8365d947ee · inbound

NLKI: A lightweight Natural Language Knowledge Integration Framework for Improving Small VLMs in Commonsense VQA Tasks cites this paper.

NLKI: A lightweight Natural Language Knowledge Integration Framework for Improving Small VLMs in Commonsense VQA Tasks A Survey on Retrieval-Augmented Text Generation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T15:38:03.050139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:38:03.050139Z digest=sha256:0e7bb91ba55df590f1124ce72817b3cfe7fe46e048862483aa06ab21753ff072

Observation f770a0df-a182-4d87-9caa-2af73e774c18 · inbound

MSRS: Evaluating Multi-Source Retrieval-Augmented Generation cites this paper.

MSRS: Evaluating Multi-Source Retrieval-Augmented Generation A Survey on Retrieval-Augmented Text Generation

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-05T14:49:07.897501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:49:07.897501Z digest=sha256:df2d09df6ed39930b65f2c103555b4638e28bf6eade90bcdddc90e2cc2285076

Observation c442ac7c-b10b-42d0-86d8-f57d5d7395d3 · inbound

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses cites this paper.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses A Survey on Retrieval-Augmented Text Generation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-04T21:02:41.731654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:02:41.731654Z digest=sha256:9fdc1339df9beced9581389121757efc8cba9514bc7eab3064fa4b63462bd31b

Observation ff197e7b-50b0-4f80-9c86-26d063b6fe5b · inbound

DGAI: Decoupled On-Disk Graph-Based ANN Index for Efficient Updates and Queries cites this paper.

DGAI: Decoupled On-Disk Graph-Based ANN Index for Efficient Updates and Queries A Survey on Retrieval-Augmented Text Generation

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:42:22.540545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T03:42:04.427190Z digest=sha256:179585bfe1acb5dd6eae60d146d7c5a0229f796180ef57721c60f323afba6f45

Observation 43dc6232-130a-4225-896f-fe70011a31d6 · inbound

Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation cites this paper.

Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation A Survey on Retrieval-Augmented Text Generation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T03:04:47.700014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:04:47.700014Z digest=sha256:28b8226a48d33f80feaa4131dc617b46cc03fd4c6110ee6221470c037acf3484