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Paper Citation Record · LEDGER

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.17952.

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

pith.paper-citation-record.v1
2410.17952 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:05:25.293071Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:49:30.547084Z

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 e5d23e4e-4ab7-44d0-97a9-b6466208f064 · inbound

A Flexible Large Language Models Guardrail Development Methodology Applied to Off-Topic Prompt Detection cites this paper.

A Flexible Large Language Models Guardrail Development Methodology Applied to Off-Topic Prompt Detection SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T17:05:25.293071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:05:25.293071Z digest=sha256:adb8efc8d0bf60c1fd9616c20374ef14a1f0c870948fbded1f28d028d438a370

Observation 1eee98a1-016c-498d-b988-9ecfe506582a · inbound

An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems cites this paper.

An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-10T22:51:52.465674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:51:52.465674Z digest=sha256:e8041b1adff26b53ae3cd14ef1599c215e34858e154444647a0d1dc9e88ad398

Observation bbdbd92a-ed0d-4fe6-a3d9-85d060ccc441 · inbound

Supervising the search process produces reliable and generalizable information-seeking agents cites this paper.

Supervising the search process produces reliable and generalizable information-seeking agents SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:22:25.311046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T02:18:27.204122Z digest=sha256:3eed33a10e82530b2a444063b2e99c3e92809081e2b5bd55bcf2a30b82ba1351

Observation 77646eb3-614b-4e27-bd7b-1a4c129ded61 · inbound

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation cites this paper.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T11:32:58.014399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:32:58.014399Z digest=sha256:cf7b49dfc60f7030c698f99d4549ccb5b199be391a99e16a60f8408f2b26eaa5

Observation fc88efc5-474f-4099-9927-a1e0defeb26b · inbound

Train, Retrieve, or Both? A Four-Arm Head-to-Head for Correct Statutory Citation on the Ontario Residential Tenancies Act cites this paper.

Train, Retrieve, or Both? A Four-Arm Head-to-Head for Correct Statutory Citation on the Ontario Residential Tenancies Act SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T03:49:30.550012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T17:36:30.486056Z digest=sha256:e1edc22dcb7b823c2c4903f557d87263ca02d16b775d8e91f3f8e3fd68241ade