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Paper Citation Record · LEDGER

Detecting Hallucinated Content in Conditional Neural Sequence Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2011.02593.

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

pith.paper-citation-record.v1
2011.02593 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:50:56.352515Z

measured 0 of 1 external citation measurements

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T17:58:17.699042Z digest=sha256:a00a3e01cbfbfd0579cc561e38a0b207013ec257254b46bc061a9035e4b055b0

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.

source=arxiv_source observed=2026-08-05T16:50:56.352515Z digest=sha256:fcb670ba04a97ed43a48972173b41fdd270ecc9863f1487949d6a2de3e8d49bd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T20:44:52.898833Z digest=sha256:a81bc3b0cf367d9e9cf8590539b923befe3bac6821104687f31a68012a2174d5