Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Defending Against Neural Fake News
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:1905.12616.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:15:15.738027Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T17:34:57.491104Z
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 72101c75-c640-4643-afa0-fee0815a087f · inbound
RoBERTa: A Robustly Optimized BERT Pretraining Approach cites this paper.
RoBERTa: A Robustly Optimized BERT Pretraining Approach Defending Against Neural Fake News
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T04:47:44.510678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a84ac2aa-fcd0-453f-8a83-057f5630bf5b · inbound
Training Optimus Prime, M.D.: Generating Medical Certification Items by Fine-Tuning OpenAI's gpt2 Transformer Model cites this paper.
Training Optimus Prime, M.D.: Generating Medical Certification Items by Fine-Tuning OpenAI's gpt2 Transformer Model Defending Against Neural Fake News
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:36:40.053088Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3d9bcf7-92b2-42ab-a219-9d30cd7834e4 · inbound
CTRL: A Conditional Transformer Language Model for Controllable Generation cites this paper.
CTRL: A Conditional Transformer Language Model for Controllable Generation Defending Against Neural Fake News
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T06:14:02.584681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ef5858c0-3f2a-4b7d-ae2b-5c2f722ede88 · inbound
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism cites this paper.
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism Defending Against Neural Fake News
Reference 36
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T18:34:44.893015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4dba69d6-dbf4-4bc5-b841-39a2cb1f2ac2 · inbound
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer cites this paper.
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Defending Against Neural Fake News
Reference 81
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:37:55.443443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 17e0647c-09c0-4cf2-bcdb-6d709d2c31a2 · inbound
Compressive Transformers for Long-Range Sequence Modelling cites this paper.
Compressive Transformers for Long-Range Sequence Modelling Defending Against Neural Fake News
Reference 134
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T10:46:16.642228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c84aeb14-4740-4983-af08-2daf202ba0fd · inbound
Language Models are Few-Shot Learners cites this paper.
Language Models are Few-Shot Learners Defending Against Neural Fake News
Reference 84
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T12:05:38.120965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 84723f2a-e0c0-4656-8f39-e7efcff07958 · inbound
Deduplicating Training Data Makes Language Models Better cites this paper.
Deduplicating Training Data Makes Language Models Better Defending Against Neural Fake News
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T13:39:31.671660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 41f90178-98a2-4fef-8b57-31015b5cf302 · inbound
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model cites this paper.
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model Defending Against Neural Fake News
Reference 77
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T12:14:26.707955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2b39f71e-71ad-40f3-986d-520bbfb85496 · inbound
OPT: Open Pre-trained Transformer Language Models cites this paper.
OPT: Open Pre-trained Transformer Language Models Defending Against Neural Fake News
Reference 52
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T20:53:17.352441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8ff54ae3-b613-4b61-8145-ee5cf5a4f6c7 · inbound
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews cites this paper.
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews Defending Against Neural Fake News
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-24T02:48:47.452111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2908c32e-0c96-4f04-8231-2df73864a7c9 · inbound
Transforming Chatbot Text: A Sequence-to-Sequence Approach cites this paper.
Transforming Chatbot Text: A Sequence-to-Sequence Approach Defending Against Neural Fake News
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:42:08.086829Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c41fbec-7aee-46e1-87d9-686f918a82f9 · inbound
Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems cites this paper.
Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Defending Against Neural Fake News
Reference 220
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:15:15.738027Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9573cde-528c-424d-96de-ba79c9f2c269 · inbound
ISACL: Internal State Analyzer for Copyrighted Training Data Leakage cites this paper.
ISACL: Internal State Analyzer for Copyrighted Training Data Leakage Defending Against Neural Fake News
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:50:28.281644Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b86c0ef7-0e0c-49e0-932f-620836b9025c · inbound
A Comprehensive Dataset for Human vs. AI Generated Text Detection cites this paper.
A Comprehensive Dataset for Human vs. AI Generated Text Detection Defending Against Neural Fake News
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:03:26.485271Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6460ca2-cc2a-4857-b95f-5fbddd6fe8ce · inbound
Findings of the Counter Turing Test: AI-Generated Text Detection cites this paper.
Findings of the Counter Turing Test: AI-Generated Text Detection Defending Against Neural Fake News
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T05:29:39.559887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0569f8c8-630b-4964-b171-f58ffcb9ddd8 · inbound
Findings of the Counter Turing Test: AI-Generated Text Detection cites this paper.
Findings of the Counter Turing Test: AI-Generated Text Detection Defending Against Neural Fake News
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T17:34:57.495045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.