Paper Citation Record · LEDGER

Can Language Models Learn to Skip Steps?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:46:21.553797Z

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 2026-08-09T06:31:02.800959+00:00.

Observation 14a1197b-3fdc-4807-8224-d611074c511a · inbound

Fast Quiet-STaR: Thinking Without Thought Tokens cites this paper.

Fast Quiet-STaR: Thinking Without Thought Tokens Can Language Models Learn to Skip Steps?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:21.553797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1885e8a4-0ffb-4775-9ade-16d1e5750c4c · inbound

VeriThinker: Learning to Verify Makes Reasoning Model Efficient cites this paper.

VeriThinker: Learning to Verify Makes Reasoning Model Efficient Can Language Models Learn to Skip Steps?

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:42:12.976815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f0812b9-235b-422f-b9ab-e94d32a581bd · inbound

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts cites this paper.

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Can Language Models Learn to Skip Steps?

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:39.117278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca5f53be-6023-47cf-9f84-ca2e4cbf4044 · inbound

Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning cites this paper.

Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning Can Language Models Learn to Skip Steps?

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:26.905899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9acbe5aa-4f54-4fa6-a216-c3ac9d1bc68c · inbound

Long or short CoT? Investigating Instance-level Switch of Large Reasoning Models cites this paper.

Long or short CoT? Investigating Instance-level Switch of Large Reasoning Models Can Language Models Learn to Skip Steps?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:43.731124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29cdb302-a971-4b8b-8d35-b197d55327d9 · inbound

How Far Are We from Optimal Reasoning Efficiency? cites this paper.

How Far Are We from Optimal Reasoning Efficiency? Can Language Models Learn to Skip Steps?

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:49:36.874631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29ea50cc-b6d1-4a6c-8b6a-4dc85ddca9ab · inbound

Fast on the Easy, Deep on the Hard: Efficient Reasoning via Powered Length Penalty cites this paper.

Fast on the Easy, Deep on the Hard: Efficient Reasoning via Powered Length Penalty Can Language Models Learn to Skip Steps?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:38:09.483737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84f35551-7b7f-4572-a1a8-9b642c4b643f · inbound

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models cites this paper.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Can Language Models Learn to Skip Steps?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:26:29.251219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11502696-71a4-4c7c-9ffd-d832e8056088 · inbound

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors cites this paper.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Can Language Models Learn to Skip Steps?

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:05:09.511104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 234bbceb-3e6d-4242-8c54-aa356122e1df · inbound

Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning cites this paper.

Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning Can Language Models Learn to Skip Steps?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T05:14:37.159143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.