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Paper Citation Record · LEDGER

Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2308.11764.

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

pith.paper-citation-record.v1
2308.11764 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:10:53.637979Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:26:46.310525Z

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 41d2bc42-7d88-4982-b485-e79e96bdb45e · inbound

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models cites this paper.

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T14:21:16.546625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T14:21:16.453610Z digest=sha256:db624e49171e0e1d09ee0b22fe675241a9754e6f03e396ea059071192a264411

Observation d89cd417-e72a-49a2-bcf2-ab4777ba3259 · inbound

A Survey of Hallucination in Large Foundation Models cites this paper.

A Survey of Hallucination in Large Foundation Models Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models

Reference 119

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:21:00.894831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-16T15:21:00.778049Z digest=sha256:0a8825ff573f93200fea10f5214aeaf0374cafca6d6b651299d82bd2842545a8

Observation 15ca3c87-5f3f-47a0-91fc-0d49c935c4cc · inbound

Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs cites this paper.

Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:52:02.510154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T00:52:02.421389Z digest=sha256:1af16574fe7f7ab9ead08fa3bbcfc7b5adaa10450c361436b25a5c95abb16e6f

Observation 912d4a32-08a5-4b8a-9815-006fb0967ffe · inbound

Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective cites this paper.

Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-11T20:10:53.637979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:10:53.637979Z digest=sha256:78e3b30ccf5b19130738fa6c7088b37321fb4487feac400d42836e44fb138779

Observation 7cb6b9f1-5b6f-4a52-b8a3-97990d42bcbc · inbound

Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking cites this paper.

Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T22:35:49.001543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:35:49.001543Z digest=sha256:a04d0f7657ff525a320ea220aa3c1fdc6f8a7f91616bcc1894dc462440f76bd0

Observation 0ed434d3-535a-4fa8-922f-2f8dd651ee84 · inbound

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models cites this paper.

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models

Reference 157

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:06.549729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:19:06.549729Z digest=sha256:cf60ca0508eff24b346a32927ba9dac30bf33b14c7c3bc83e79b7937ef49b1b4

Observation f9da5a9b-8023-4641-b9b9-7ccc48879465 · inbound

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models cites this paper.

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:28.325424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:28.325424Z digest=sha256:dca91f5e51929c571fcd39415f09df54943ef470c5dc52c1326233491e9dd62d

Observation 6d46d592-f54d-4745-af12-7554f4ca2937 · inbound

SLM Finetuning for Natural Language to Domain Specific Code Generation in Production cites this paper.

SLM Finetuning for Natural Language to Domain Specific Code Generation in Production Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:26:00.822143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T16:38:30.184565Z digest=sha256:dfdc04b6f944fcafa4a8ed86456259b894ae0e03a797040a7509c49bc09ba323

Observation bb9f0ebb-2126-4316-9893-f09aea85e9bb · inbound

Grounding Multi-Hop Reasoning in Structural Causal Models via Group Relative Policy Optimization cites this paper.

Grounding Multi-Hop Reasoning in Structural Causal Models via Group Relative Policy Optimization Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:56:07.632220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-09T14:25:59.934310Z digest=sha256:588dc8eb3932e56780061f3dc08856d422d5e102472c9b12316319424df3cd28

Observation d80c3f47-4b15-4d9d-9796-96738f1a683b · inbound

Grounding Multi-Hop Reasoning in Structural Causal Models via Group Relative Policy Optimization cites this paper.

Grounding Multi-Hop Reasoning in Structural Causal Models via Group Relative Policy Optimization Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:45:58.650147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:17:42.123741Z digest=sha256:c4030193071ce343a1633354cd8495638af1645146b03895f070a9078963ffbe

Observation b0a54c33-7929-420e-bec7-dbca6728793b · inbound

Hybrid Adversarial Defence for Natural Language Understanding Tasks cites this paper.

Hybrid Adversarial Defence for Natural Language Understanding Tasks Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T07:26:46.312004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T06:55:02.191691Z digest=sha256:2294f161dd4385e04b2ad49e322459f8711fb2e861eb5c20a34f0a2643b8455d