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Paper Citation Record · LEDGER

Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.09747.

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

pith.paper-citation-record.v1
2403.09747 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:08:18.056448Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:43:51.205521Z

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 e8a9775b-45e3-476b-b801-f0d5c67aafb9 · inbound

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

Retrieval-Augmented Generation with Graphs (GraphRAG) Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors

Reference 226

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.541877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:1d33a091dee9491d8f32ab2fa05ce2b98677bd00589fe276efce5adc5d7e244b

Observation 5dbdbb88-2ab3-49f1-87e6-2dfaa6707e41 · inbound

A Decision-Based Heterogenous Graph Attention Network for Multi-Class Fake News Detection cites this paper.

A Decision-Based Heterogenous Graph Attention Network for Multi-Class Fake News Detection Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T22:08:18.056448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:08:18.056448Z digest=sha256:78099b30e6826125f3d2c1bc953ee6a34812666a82d9844a9cd238631fdce2f6

Observation 9b48ae34-dbd8-41b8-8f6f-5809feb1b0f1 · 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 Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T20:03:47.355859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:03:47.355859Z digest=sha256:f03098650f13176ac2e3a5d378d5a63d3c88a41c8319c0850b1d3d24ec52939f

Observation 170f5438-e686-4402-98a1-335ec107599e · inbound

RASR: Retrieval-Augmented Semantic Reasoning for Fake News Video Detection cites this paper.

RASR: Retrieval-Augmented Semantic Reasoning for Fake News Video Detection Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:46:12.729391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T17:57:11.383278Z digest=sha256:89bb15896836e6739ab3cb0d35991fc115ae9bb71b5606eca8bf0c4a0843bee0

Observation a4668af7-36aa-498c-b2ac-f0d513434845 · inbound

ToE: A Hierarchical and Explainable Claim Verification Framework with Dynamic Multi-source Evidence Retrieval and Aggregation cites this paper.

ToE: A Hierarchical and Explainable Claim Verification Framework with Dynamic Multi-source Evidence Retrieval and Aggregation Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:43:51.206982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T05:03:26.118083Z digest=sha256:44a4db4799d39d813ec45d2a1a6798d0d640606999869557f6ff1b27bedae565

Observation 523a5b80-0891-4734-b754-e21a602ed557 · inbound

GPE: Evaluating Robust Evidence Aggregation for Fact Verification under Controllable GEO-Style Poisoning cites this paper.

GPE: Evaluating Robust Evidence Aggregation for Fact Verification under Controllable GEO-Style Poisoning Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T09:35:38.585115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:35:38.585115Z digest=sha256:f0aba5d1d186ffb8960c5959722fac5e13ee3b8e2e2c0a8a8cd49f5bd124f3e3