Paper Citation Record · LEDGER

Can AI Assistants Know What They Don't Know?

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2401.13275.

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

pith.paper-citation-record.v1
2401.13275 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:19:50.907586Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:07:23.896328Z

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 02ba7780-33d0-4b66-a76e-1de9eefd0f68 · inbound

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

ORPO: Monolithic Preference Optimization without Reference Model Can AI Assistants Know What They Don't Know?

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:34:04.747060Z

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 495a57e8-5898-490d-9661-b12d8db96cf4 · inbound

UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models cites this paper.

UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models Can AI Assistants Know What They Don't Know?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:29.236234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9f7f6a8-9a20-4275-911f-f362d28b3ec0 · inbound

Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models cites this paper.

Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models Can AI Assistants Know What They Don't Know?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T12:08:03.338297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42d25986-8008-4009-b677-f91ee9a3dcac · 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 Can AI Assistants Know What They Don't Know?

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T16:21:35.371583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82390dab-8a69-48b6-a69b-4dc07f8c0838 · inbound

Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches cites this paper.

Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches Can AI Assistants Know What They Don't Know?

Reference 279

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:13.138655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3359a1b-a55b-4c0e-9335-cf2814405e51 · inbound

GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation cites this paper.

GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation Can AI Assistants Know What They Don't Know?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T17:31:59.783337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d41c465-9352-4c69-af53-72d9110efe02 · inbound

AI Awareness cites this paper.

AI Awareness Can AI Assistants Know What They Don't Know?

Reference 146

Resolution: unresolved; no resolver link, observed 2026-08-16T10:19:50.907586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97d61460-9f4f-4b87-b5a7-6d0ba1251c4d · inbound

UAQFact: Evaluating Factual Knowledge Utilization of LLMs on Unanswerable Questions cites this paper.

UAQFact: Evaluating Factual Knowledge Utilization of LLMs on Unanswerable Questions Can AI Assistants Know What They Don't Know?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:51:16.252988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b976deab-34eb-432e-8be4-26dc8882be7d · inbound

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications cites this paper.

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications Can AI Assistants Know What They Don't Know?

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T00:48:12.965001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e23415e9-11fe-43a0-acf8-7219c5ba2170 · 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 Can AI Assistants Know What They Don't Know?

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:52.315746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 605cee2b-5d16-4dd8-a92a-4627b74bb8a4 · inbound

UCPO: Uncertainty-Aware Policy Optimization cites this paper.

UCPO: Uncertainty-Aware Policy Optimization Can AI Assistants Know What They Don't Know?

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T06:34:28.294064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d58957ee-50a8-493a-9da5-f68a81c1e8dd · inbound

ASPI: Seeking Ambiguity Clarification Amplifies Prompt Injection Vulnerability in LLM Agents cites this paper.

ASPI: Seeking Ambiguity Clarification Amplifies Prompt Injection Vulnerability in LLM Agents Can AI Assistants Know What They Don't Know?

Reference 110

Resolution: verified exact; arxiv_id, observed 2026-05-19T23:57:53.374071Z

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 8c9aaf55-e41e-4f80-9b30-39471778c1b3 · inbound

ConSteer-RL: Steering Reasoning Capabilities in Large Language Models via Confidence-Aware Reinforcement Learning cites this paper.

ConSteer-RL: Steering Reasoning Capabilities in Large Language Models via Confidence-Aware Reinforcement Learning Can AI Assistants Know What They Don't Know?

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:07:23.898118Z

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 ceb88ae3-0b16-41e0-88b2-313961c5d553 · inbound

Knowing When to Quit: Diagnosing and Training LLMs to Abort Futile Reasoning cites this paper.

Knowing When to Quit: Diagnosing and Training LLMs to Abort Futile Reasoning Can AI Assistants Know What They Don't Know?

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T11:36:49.126511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.