Pith. sign in

Paper Citation Record · LEDGER

Alleviating Hallucinations of Large Language Models through Induced Hallucinations

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2312.15710.

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

pith.paper-citation-record.v1
2312.15710 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:45:38.661137Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation faf8ac9b-9b10-4ae9-b449-f34530718173 · inbound

Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability cites this paper.

Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability Alleviating Hallucinations of Large Language Models through Induced Hallucinations

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T05:43:32.128206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:43:32.128206Z digest=sha256:fc72836e19b2dcad493f5bbdc1d9a260f19f7b0115867322bd9b34e076214874

Observation 7d698ac1-f767-4b3a-a876-1d362f501e57 · inbound

Knowledge Boundary of Large Language Models: A Survey cites this paper.

Knowledge Boundary of Large Language Models: A Survey Alleviating Hallucinations of Large Language Models through Induced Hallucinations

Reference 8949

Resolution
unresolved
no resolver link, observed 2026-08-11T14:07:14.415802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:07:14.415802Z digest=sha256:dc1b34b60c0d2822d738f7e0875748327908f07d09f198bb9bab27b1d76f2b11

Observation 10e06f2b-d1b4-418b-b55c-896fa926c9ae · inbound

Open Problems in Machine Unlearning for AI Safety cites this paper.

Open Problems in Machine Unlearning for AI Safety Alleviating Hallucinations of Large Language Models through Induced Hallucinations

Reference 157

Resolution
unresolved
no resolver link, observed 2026-08-10T21:24:10.824051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:24:10.824051Z digest=sha256:1adcd7a1e67716288614289767efb5f3a0f410d0341f7204b849c7e1f4443838

Observation 0b5bb8a2-444c-4bf0-a349-6f59ddff52dd · inbound

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models cites this paper.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models Alleviating Hallucinations of Large Language Models through Induced Hallucinations

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-09T05:37:07.981258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.981258Z digest=sha256:7d70409078e41fb59521734b9b169edfcfbf0c0c6e743b3d9254a87d040eb788

Observation d18f4ee2-97aa-4236-892c-8cd7d6b99b47 · inbound

TruthFlow: Truthful LLM Generation via Representation Flow Correction cites this paper.

TruthFlow: Truthful LLM Generation via Representation Flow Correction Alleviating Hallucinations of Large Language Models through Induced Hallucinations

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-08T22:23:28.641619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:23:28.641619Z digest=sha256:95570b6bfb28b05366cee88ea9a68cca41f5f3b08a14ea49f9a2b42e22f7e967

Observation 3f6ff3bb-9a61-47aa-b1bd-95a12ff46e92 · inbound

Unified attacks to large language model watermarks: spoofing and scrubbing in unauthorized knowledge distillation cites this paper.

Unified attacks to large language model watermarks: spoofing and scrubbing in unauthorized knowledge distillation Alleviating Hallucinations of Large Language Models through Induced Hallucinations

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:38.661137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:45:38.661137Z digest=sha256:7736455e17c45e816b2185699e39eea39ae13085452bcfd7a1a9ce14db747359

Observation 68a0ca20-87f6-49db-8208-8a813e377696 · inbound

Evaluating Evaluation Metrics -- The Mirage of Hallucination Detection cites this paper.

Evaluating Evaluation Metrics -- The Mirage of Hallucination Detection Alleviating Hallucinations of Large Language Models through Induced Hallucinations

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-16T10:29:31.582611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:29:31.582611Z digest=sha256:8ae4c2761d2044725b74e23a77865745d258800583241dc0254c1dbe5c56e6ec

Observation 7335f8a0-5cf2-486a-a22c-278fdfb3b4be · inbound

Advancing LLM Safe Alignment with Safety Representation Ranking cites this paper.

Advancing LLM Safe Alignment with Safety Representation Ranking Alleviating Hallucinations of Large Language Models through Induced Hallucinations

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T15:15:18.359366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:15:18.359366Z digest=sha256:c64cd4094d6895296ccb1e7f2d171bf17f5a21ab76fdec6d965ef7482cd721fb

Observation 14933fc1-9696-4f0d-bd17-9178fb3c644c · inbound

Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries cites this paper.

Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries Alleviating Hallucinations of Large Language Models through Induced Hallucinations

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:58.175111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:59:58.175111Z digest=sha256:c309b563e1dddddd0a2d690f292300c5984fffa6e3cf1f9b7f86638680522f5b

Observation a06ee7cb-4200-46b7-8ef2-8ba54f67a433 · inbound

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations cites this paper.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Alleviating Hallucinations of Large Language Models through Induced Hallucinations

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T11:23:45.951936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:45.951936Z digest=sha256:7c523fa682a8782c4fe1c800bf637a668a07ac0cf4f0dc5741c576b76c69d040

Observation 97670078-5fb7-407d-b01d-67f80e46d32d · 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 Alleviating Hallucinations of Large Language Models through Induced Hallucinations

Reference 118

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:00.491756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:19:00.491756Z digest=sha256:d63a8943d4ea814447d45e61bd5e99c110a2bf4f24581c8d8ad8ea5f138e2b87

Observation 26d61629-ba35-441e-a8a5-23d9f151f04b · inbound

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models cites this paper.

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models Alleviating Hallucinations of Large Language Models through Induced Hallucinations

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-06T20:03:53.378201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:03:53.378201Z digest=sha256:5c946bcccca7ecd7465f9cc90a9de112c0890d56d08b231828102b45af837be8

Observation d36d738b-9cae-448f-8cea-084a01735444 · inbound

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality cites this paper.

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality Alleviating Hallucinations of Large Language Models through Induced Hallucinations

Reference 221

Resolution
unresolved
no resolver link, observed 2026-08-05T15:38:55.311983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:38:55.311983Z digest=sha256:41dd0c00b568735d6f0847ceea5342e3804b06129cc90c8c5d784ae0771b12b4

Observation ade56135-cbbd-41a3-817f-b1f29d7066e7 · inbound

Contrastive Weak-to-strong Generalization cites this paper.

Contrastive Weak-to-strong Generalization Alleviating Hallucinations of Large Language Models through Induced Hallucinations

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T10:56:39.738631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:56:39.738631Z digest=sha256:0f472e4910da2599398458c9f8322cb8201b74d356125c4762be8b5253596d3c

Observation 9763f196-31aa-4705-bc13-c8cc985999e1 · inbound

A Systematic Study of Training-Free Methods for Trustworthy Large Language Models cites this paper.

A Systematic Study of Training-Free Methods for Trustworthy Large Language Models Alleviating Hallucinations of Large Language Models through Induced Hallucinations

Reference 56

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T08:22:37.345051Z

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=2026-05-10T08:19:42.671690Z digest=sha256:c8729ccca1bed564a31dd42fa870dacb49f04a01ed1c5ce3ecd0d0096d4b9112

Observation dd11b8c4-3b45-46af-bd77-acbfc7431557 · inbound

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations cites this paper.

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations Alleviating Hallucinations of Large Language Models through Induced Hallucinations

Reference 108

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:17:56.223490Z

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=arxiv_source observed=2026-05-14T20:13:10.814899Z digest=sha256:e79aa8a033637ba79399aa876c12835fefa5c12e79def5458ec6fbaa0e790f14