Paper Citation Record · LEDGER

Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You Think

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.08382.

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

pith.paper-citation-record.v1
2404.08382 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T05:34:28.356278Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:45:43.121164Z

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 1ae03475-945f-4cb3-8347-562a1d143813 · inbound

Revisiting LLM Value Probing Strategies: Are They Robust and Expressive? cites this paper.

Revisiting LLM Value Probing Strategies: Are They Robust and Expressive? Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You Think

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T16:28:28.845441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 804d4f28-d333-42c6-9101-1f053eb2d790 · inbound

SCOPE: Stochastic and Counterbiased Option Placement for Evaluating Large Language Models cites this paper.

SCOPE: Stochastic and Counterbiased Option Placement for Evaluating Large Language Models Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You Think

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:45:43.124439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4c9bf3d2-2f83-48d7-a853-bebd9d58697e · inbound

Safety Under Scaffolding: How Evaluation Conditions Shape Measured Safety cites this paper.

Safety Under Scaffolding: How Evaluation Conditions Shape Measured Safety Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You Think

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-15T13:17:48.274611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adaa9ee1-486a-49bf-8c5a-b4796b52ebc5 · inbound

People Are Not Just Their Countries. Disentangling Social Determinants of LLM Value Alignment Across Europe cites this paper.

People Are Not Just Their Countries. Disentangling Social Determinants of LLM Value Alignment Across Europe Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You Think

Reference 117

Resolution: unresolved; no resolver link, observed 2026-08-10T05:34:28.356278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.