Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Detecting Hallucinated Content in Conditional Neural Sequence Generation
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2011.02593.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T19:14:49.218740Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T20:46:51.551020Z
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 9ee4a842-eb96-4b04-9968-b9522cacabd7 · inbound
Aligning Large Multimodal Models with Factually Augmented RLHF cites this paper.
Aligning Large Multimodal Models with Factually Augmented RLHF Detecting Hallucinated Content in Conditional Neural Sequence Generation
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T17:58:17.784112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 71287ed5-ea96-4e58-a8b6-d4b9703333c1 · inbound
INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection cites this paper.
INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection Detecting Hallucinated Content in Conditional Neural Sequence Generation
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:14:49.218740Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1d72f39-2dfc-4299-9096-31e185578361 · inbound
Understanding Design Fixation in Generative AI cites this paper.
Understanding Design Fixation in Generative AI Detecting Hallucinated Content in Conditional Neural Sequence Generation
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T17:40:41.186197Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95096d8f-0be8-4bfa-8008-d450d94a246f · inbound
Retrieval Feedback Memory Enhancement Large Model Retrieval Generation Method cites this paper.
Retrieval Feedback Memory Enhancement Large Model Retrieval Generation Method Detecting Hallucinated Content in Conditional Neural Sequence Generation
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:50:56.352515Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 257da978-f48b-407d-af13-84b61002f77a · inbound
Principled Detection of Hallucinations in Large Language Models via Multiple Testing cites this paper.
Principled Detection of Hallucinations in Large Language Models via Multiple Testing Detecting Hallucinated Content in Conditional Neural Sequence Generation
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T20:46:51.553895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.