Paper Citation Record · LEDGER

Can Language Models Learn to Skip Steps?

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.01855.

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

pith.paper-citation-record.v1
2411.01855 v1

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 2026-08-05T06:32:48.257954+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T17:05:48.244094Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T17:12:25.279751Z

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 d33087e5-0cc8-4b5c-ae48-36b6804f4e3a · inbound

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Can Language Models Learn to Skip Steps?

Reference 115

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T01:29:57.434107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a53f3548-a391-43f0-91f5-ffa096dec31c · inbound

Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models cites this paper.

Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models Can Language Models Learn to Skip Steps?

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-16T13:22:55.285493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 203547ee-1968-46cd-868a-9b7ede4252e7 · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Can Language Models Learn to Skip Steps?

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:06:09.698291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0b3f4fe0-10a5-4c84-b4c6-5e2ae7878193 · inbound

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs cites this paper.

Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Can Language Models Learn to Skip Steps?

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T17:12:25.281100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.