Paper Citation Record · LEDGER

Calibrated Language Models Must Hallucinate

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2311.14648.

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

pith.paper-citation-record.v1
2311.14648 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:45:45.700412Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:26:00.884003Z

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 ef45d9f0-f162-4f56-90f9-db7d5747802a · inbound

BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment cites this paper.

BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment Calibrated Language Models Must Hallucinate

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T19:14:36.963035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39b046cc-0dc9-4ff2-bbe1-dfe83883b6bd · inbound

Decoding Knowledge in Large Language Models: A Framework for Categorization and Comprehension cites this paper.

Decoding Knowledge in Large Language Models: A Framework for Categorization and Comprehension Calibrated Language Models Must Hallucinate

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:33:24.038043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3720bc09-8959-4fd2-9358-e9048911c4a6 · inbound

PROMPTEVALS: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines cites this paper.

PROMPTEVALS: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines Calibrated Language Models Must Hallucinate

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:45:45.700412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3c318dd-b634-45ef-9fb4-0c1931a6342f · 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 Calibrated Language Models Must Hallucinate

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T19:07:41.032082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 967d5132-7dd7-4cfc-81df-f1a24414ad96 · inbound

Predictable Compression Failures: Order Sensitivity and Information Budgeting for Evidence-Grounded Binary Adjudication cites this paper.

Predictable Compression Failures: Order Sensitivity and Information Budgeting for Evidence-Grounded Binary Adjudication Calibrated Language Models Must Hallucinate

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T17:07:24.715421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6959afd-ac8a-466b-ac64-4ef5ccc486da · 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 Calibrated Language Models Must Hallucinate

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:26:00.886695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c61dea41-c916-418b-8dfe-052f945301c3 · inbound

Calibrating Model-Based Evaluation Metrics for Summarization cites this paper.

Calibrating Model-Based Evaluation Metrics for Summarization Calibrated Language Models Must Hallucinate

Reference 91

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:41:36.905382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dcbbbe81-a6dd-4ead-b7d0-fa147dbe652b · inbound

Faster AI, Uneven Frontier: Rapid Crossings, a Jagged Frontier, and the Repositioning of Human Judgment cites this paper.

Faster AI, Uneven Frontier: Rapid Crossings, a Jagged Frontier, and the Repositioning of Human Judgment Calibrated Language Models Must Hallucinate

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-15T07:32:36.632338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9d67b58-37fe-4f40-bf45-68c985c6022b · inbound

Do LLM Recommenders Know When They're Hallucinating? Auditing Confidence Calibration in Catalog Faithfulness cites this paper.

Do LLM Recommenders Know When They're Hallucinating? Auditing Confidence Calibration in Catalog Faithfulness Calibrated Language Models Must Hallucinate

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T00:51:57.445223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bc0c624-132a-4c8e-9010-d6bdccffe01a · inbound

Do LLM Recommenders Know When They're Hallucinating? Auditing Confidence Calibration in Catalog Faithfulness cites this paper.

Do LLM Recommenders Know When They're Hallucinating? Auditing Confidence Calibration in Catalog Faithfulness Calibrated Language Models Must Hallucinate

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T04:43:30.748551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.