Paper Citation Record · LEDGER

Fine-tuning Language Models for Factuality

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2311.08401.

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

pith.paper-citation-record.v1
2311.08401 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:52:20.611568Z

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

10
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 63539ee6-0a7f-413c-9668-1d0a1a545b31 · inbound

KTO: Model Alignment as Prospect Theoretic Optimization cites this paper.

KTO: Model Alignment as Prospect Theoretic Optimization Fine-tuning Language Models for Factuality

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-12T12:17:53.577724Z

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.

Observation 7b395594-d4c2-4d19-b5ec-12989989e6d1 · inbound

ORPO: Monolithic Preference Optimization without Reference Model cites this paper.

ORPO: Monolithic Preference Optimization without Reference Model Fine-tuning Language Models for Factuality

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:34:04.693477Z

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.

Observation bf929afe-7efa-4bc6-bef5-c0c22cd7246f · inbound

Efficient Alignment of Large Language Models via Data Sampling cites this paper.

Efficient Alignment of Large Language Models via Data Sampling Fine-tuning Language Models for Factuality

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T19:40:15.688495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43c0e182-961f-4b2a-bf8c-8c53aaab370a · inbound

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs cites this paper.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs Fine-tuning Language Models for Factuality

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T10:30:29.000009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85ef19ed-d61f-4dd7-8322-4520e373d72f · inbound

Quantized Delta Weight Is Safety Keeper cites this paper.

Quantized Delta Weight Is Safety Keeper Fine-tuning Language Models for Factuality

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T10:08:55.849246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fb7f9d7-24d2-4a4d-82e9-b6ef39643ccf · inbound

ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning cites this paper.

ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning Fine-tuning Language Models for Factuality

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T05:13:41.537024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3143a5c9-f2f4-44da-8125-ab7d5e5383f7 · inbound

MPPO: Multi Pair-wise Preference Optimization for LLMs with Arbitrary Negative Samples cites this paper.

MPPO: Multi Pair-wise Preference Optimization for LLMs with Arbitrary Negative Samples Fine-tuning Language Models for Factuality

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T16:21:35.470037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88d40ef4-765d-434c-a4b0-08037c80554b · inbound

Context-DPO: Aligning Language Models for Context-Faithfulness cites this paper.

Context-DPO: Aligning Language Models for Context-Faithfulness Fine-tuning Language Models for Factuality

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:34.226703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7196e2a1-ed2f-4ba5-a328-6d361b0976e0 · inbound

Aligning Large Language Models for Faithful Integrity Against Opposing Argument cites this paper.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Fine-tuning Language Models for Factuality

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.946844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65bf4de6-e9e0-4442-8bd8-c5423652d08f · inbound

Language Models Prefer What They Know: Relative Confidence Estimation via Confidence Preferences cites this paper.

Language Models Prefer What They Know: Relative Confidence Estimation via Confidence Preferences Fine-tuning Language Models for Factuality

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-09T16:34:01.186499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0aa5a76e-e2d8-4f12-9138-fe0b2fcedd27 · 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 Fine-tuning Language Models for Factuality

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T05:37:07.956445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fe22985-3b68-4fd6-939a-1d25156a0fd1 · inbound

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

TruthFlow: Truthful LLM Generation via Representation Flow Correction Fine-tuning Language Models for Factuality

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-08T22:23:28.466620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2feee1f2-c48a-4b0b-9e56-f91f956acda6 · inbound

From Evidence to Belief: A Bayesian Epistemology Approach to Language Models cites this paper.

From Evidence to Belief: A Bayesian Epistemology Approach to Language Models Fine-tuning Language Models for Factuality

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T05:52:20.611568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88354aaa-d615-4a10-931d-37882b419d0d · inbound

EvolveSearch: An Iterative Self-Evolving Search Agent cites this paper.

EvolveSearch: An Iterative Self-Evolving Search Agent Fine-tuning Language Models for Factuality

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:58.305508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dc51760-9f64-4a8c-923a-d6e13def54e5 · inbound

An Integrated Framework of Prompt Engineering and Multidimensional Knowledge Graphs for Legal Dispute Analysis cites this paper.

An Integrated Framework of Prompt Engineering and Multidimensional Knowledge Graphs for Legal Dispute Analysis Fine-tuning Language Models for Factuality

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T18:35:40.840454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 239c1a34-0bec-400d-84bf-889dc962bdce · 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 Fine-tuning Language Models for Factuality

Reference 169

Resolution: unresolved; no resolver link, observed 2026-08-05T15:38:54.663684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e211339a-0192-499c-b4ea-5e9d20d88b8b · inbound

Inteligencia Artificial jur\'idica y el desaf\'io de la veracidad: an\'alisis de alucinaciones, optimizaci\'on de RAG y principios para una integraci\'on responsable cites this paper.

Inteligencia Artificial jur\'idica y el desaf\'io de la veracidad: an\'alisis de alucinaciones, optimizaci\'on de RAG y principios para una integraci\'on responsable Fine-tuning Language Models for Factuality

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-04T19:07:41.957117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd2b00da-c56a-4da0-abab-2d125f3ca0c3 · inbound

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

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations Fine-tuning Language Models for Factuality

Reference 174

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:17:56.755023Z

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.

Observation 6eaabcd1-24da-4ae3-b137-0c7af12ca6d4 · inbound

Deep Pre-Alignment for VLMs cites this paper.

Deep Pre-Alignment for VLMs Fine-tuning Language Models for Factuality

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:27:39.207938Z

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.