Paper Citation Record · LEDGER

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2310.03214.

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

pith.paper-citation-record.v1
2310.03214 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:10:42.623116Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T23:08:35.630964Z

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 dbe81b54-a6bf-4101-b6cd-58dbd2021756 · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 223

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T11:17:08.635117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7aa91253-c41c-47e9-92fb-065d31917b89 · inbound

Hallucination is Inevitable: An Innate Limitation of Large Language Models cites this paper.

Hallucination is Inevitable: An Innate Limitation of Large Language Models FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 72

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T20:38:43.499435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 412a9de1-07f2-4107-824c-10a164340c2d · inbound

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

Retrieval-Augmented Generation for Natural Language Processing: A Survey FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 166

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:08:35.633074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 43273d06-de7a-4164-bbcc-43fe555e2475 · inbound

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents cites this paper.

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T15:37:25.835641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1437c2c2-9997-49b4-80fa-c6512fe92af5 · inbound

Measuring short-form factuality in large language models cites this paper.

Measuring short-form factuality in large language models FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.275719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c171b1ad-6e5e-48d1-8b60-296cc2113752 · inbound

Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs cites this paper.

Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T12:24:55.411307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b77f72a-b461-4246-9c2c-8a3647e0aa98 · inbound

Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability cites this paper.

Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:21.297166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02d3299f-b931-4491-bc3f-442959e8924d · inbound

Towards Sustainable Large Language Model Serving cites this paper.

Towards Sustainable Large Language Model Serving FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T22:59:41.607643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acdc6ba2-a9d9-4d30-8eb8-74553b3cdf99 · inbound

Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions cites this paper.

Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T20:57:29.172254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bfb5957-8f4e-486c-abb1-0d0b8ada7775 · inbound

ToolRL: Reward is All Tool Learning Needs cites this paper.

ToolRL: Reward is All Tool Learning Needs FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T00:26:48.547728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b3c868cd-e093-4271-b5e2-06a9605037a7 · inbound

BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese cites this paper.

BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T22:04:49.962763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e5579007-51a0-4ab3-a5cb-7df265016de8 · inbound

MedBrowseComp: Benchmarking Medical Deep Research and Computer Use cites this paper.

MedBrowseComp: Benchmarking Medical Deep Research and Computer Use FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T15:30:49.176813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbbbe329-a461-41ea-a917-3a64ed83bf5a · inbound

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation cites this paper.

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T15:19:18.807656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09ae33ef-8dc0-4363-8dba-2c58248638cc · inbound

MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability cites this paper.

MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:19.592921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08972d1d-e610-4d58-b77d-cb567c6db29b · inbound

Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments cites this paper.

Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:03:20.932076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaffdb4d-1101-41ab-997a-768283925386 · inbound

AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions cites this paper.

AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:08.242929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8c20d1b-95af-4037-8062-b16bf24b2286 · inbound

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs cites this paper.

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 163

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:27.093581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08b7a7ea-8170-4a21-9949-99ec7938a3a1 · inbound

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models cites this paper.

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T20:03:51.269716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0acf173-bc65-4a14-b507-924764220ed0 · inbound

Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook cites this paper.

Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-14T20:48:19.312615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b76d7bb1-a4de-4601-a895-788053473b84 · inbound

Illocutionary Explanation Planning for Source-Faithful Explanations in Retrieval-Augmented Language Models cites this paper.

Illocutionary Explanation Planning for Source-Faithful Explanations in Retrieval-Augmented Language Models FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T10:39:56.811393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 02f2d08a-56d3-4610-a009-2bc0aef997f7 · inbound

Teaching AI Through Benchmark Construction: QuestBench as a Course-Based Practice for Accountable Knowledge Work cites this paper.

Teaching AI Through Benchmark Construction: QuestBench as a Course-Based Practice for Accountable Knowledge Work FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T04:13:56.745949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 25d91cd0-1526-44ee-a172-89520d665e65 · inbound

Teaching AI Through Benchmark Construction: QuestBench as a Course-Based Practice for Accountable Knowledge Work cites this paper.

Teaching AI Through Benchmark Construction: QuestBench as a Course-Based Practice for Accountable Knowledge Work FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T09:44:46.007950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a67c6d19-9723-4e83-81bb-0e70107bbc44 · inbound

When Memory Lies: An Empirical Study of Spatial Memory Staleness in VLM Agents cites this paper.

When Memory Lies: An Empirical Study of Spatial Memory Staleness in VLM Agents FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:49:20.538232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95a1d73f-06ca-4370-ac14-eb13ff189333 · inbound

Temporal Misgrounding in Legal RAG: A Versioned-Corpus Benchmark for French Tax Law cites this paper.

Temporal Misgrounding in Legal RAG: A Versioned-Corpus Benchmark for French Tax Law FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T18:10:42.623116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.