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Paper Citation Record · LEDGER

Towards Reliable Medical Question Answering: Techniques and Challenges in Mitigating Hallucinations in Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.13808.

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

pith.paper-citation-record.v1
2408.13808 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:25:36.921205Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T14:07:58.743628Z

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 930317f7-75e3-41c4-b91f-14aba2914d80 · inbound

Disentangling Memory and Reasoning Ability in Large Language Models cites this paper.

Disentangling Memory and Reasoning Ability in Large Language Models Towards Reliable Medical Question Answering: Techniques and Challenges in Mitigating Hallucinations in Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T16:25:36.921205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T16:25:36.921205Z digest=sha256:9ba6057c08ec739f94bbd058bd836c988eaaaa6e903545b8f93c5e8fcc2efa40

Observation 458fa2f6-c06d-4b4b-b8db-4c5481697d2b · inbound

LLMs-in-the-Loop Part 2: Expert Small AI Models for Anonymization and De-identification of PHI Across Multiple Languages cites this paper.

LLMs-in-the-Loop Part 2: Expert Small AI Models for Anonymization and De-identification of PHI Across Multiple Languages Towards Reliable Medical Question Answering: Techniques and Challenges in Mitigating Hallucinations in Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T15:34:56.130322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:34:56.130322Z digest=sha256:f0035755bab0c0f700d47e5ff88bf0bb8a70c9ad45a3e58a9475fcb24dd2e39e

Observation 651be3e3-f819-43e8-b687-e875ed9ea354 · inbound

Are the Hidden States Hiding Something? Testing the Limits of Factuality-Encoding Capabilities in LLMs cites this paper.

Are the Hidden States Hiding Something? Testing the Limits of Factuality-Encoding Capabilities in LLMs Towards Reliable Medical Question Answering: Techniques and Challenges in Mitigating Hallucinations in Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:06.678866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:04:06.678866Z digest=sha256:6ab8ebc386a12247a1521c8ea86c32661aeb01d2b425fcd15b595b9c41a61fb9

Observation 64cd7c4a-4695-47bd-ab63-9073a8397212 · inbound

Active Learning for Neurosymbolic Program Synthesis cites this paper.

Active Learning for Neurosymbolic Program Synthesis Towards Reliable Medical Question Answering: Techniques and Challenges in Mitigating Hallucinations in Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T17:44:12.613741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:44:12.613741Z digest=sha256:122b101ef10155ae4a38c4e53c37da4095f18d913df89d10d3714c021c8d778d

Observation 0a7ca26c-3665-45ad-9b77-59eddcd9ac73 · inbound

VerifAI: A Verifiable Open-Source Search Engine for Biomedical Question Answering cites this paper.

VerifAI: A Verifiable Open-Source Search Engine for Biomedical Question Answering Towards Reliable Medical Question Answering: Techniques and Challenges in Mitigating Hallucinations in Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-16T14:07:58.745401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T14:03:58.706599Z digest=sha256:decf70b37db2647dc3222a64c1bf4c7eedd1e0923381233f93246baeada2fb9f