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Paper Citation Record · LEDGER

Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.15062.

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

pith.paper-citation-record.v1
2402.15062 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:41:47.174377Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:11:11.506914Z

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 3e096ccb-11f5-49cb-8127-375e8a945b15 · inbound

Cannot or Should Not? Automatic Analysis of Refusal Composition in IFT/RLHF Datasets and Refusal Behavior of Black-Box LLMs cites this paper.

Cannot or Should Not? Automatic Analysis of Refusal Composition in IFT/RLHF Datasets and Refusal Behavior of Black-Box LLMs Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T05:58:46.747261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:58:46.747261Z digest=sha256:36147d9e32d7100d3e92b8d9f0f051f49cfd3490aa9b58849b74d5d49d57597c

Observation ee5e5e41-c1bc-4539-a500-55c5d4e2cbd4 · inbound

LLM Context Conditioning and PWP Prompting for Multimodal Validation of Chemical Formulas cites this paper.

LLM Context Conditioning and PWP Prompting for Multimodal Validation of Chemical Formulas Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T20:41:47.174377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:41:47.174377Z digest=sha256:47bf98640c9ccc9bb8ae211f37e703591ba42a56fa1543c1e34e52fdc513058b

Observation 6cb8b28e-9dc1-4967-aae5-774579b70d12 · inbound

VLM@school -- Evaluation of AI image understanding on German middle school knowledge cites this paper.

VLM@school -- Evaluation of AI image understanding on German middle school knowledge Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T04:06:31.660213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:06:31.660213Z digest=sha256:adabda3129cc75288280b6910e7619559c7fa013f014ab78c0d970e98fe0338a

Observation 30caa522-1279-46b5-96ad-cd3962a833be · inbound

Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research cites this paper.

Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:10:22.829853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T04:38:00.482850Z digest=sha256:b90a4a71c04e46169a526c17ed828fa9f4d1972ed8acda37752b9815f25d85a3

Observation 6b9c738e-10ed-4e1a-a18f-42da23544f4a · inbound

"I Don't Know" -- Towards Appropriate Trust with Certainty-Aware Retrieval Augmented Generation cites this paper.

"I Don't Know" -- Towards Appropriate Trust with Certainty-Aware Retrieval Augmented Generation Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:11:11.513355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-09T18:30:03.367870Z digest=sha256:fd2ae14007503cb3980a44535b2ad13bc94a13a785e0de8735b78b169200102f