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Paper Citation Record · LEDGER

Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2501.18576.

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

pith.paper-citation-record.v1
2501.18576 v1

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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:52:23.229768Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0cd40476-1b16-4693-a472-1ae87dd3682b · inbound

The Paradox of Stochasticity: Limited Creativity and Computational Decoupling in Temperature-Varied LLM Outputs of Structured Fictional Data cites this paper.

The Paradox of Stochasticity: Limited Creativity and Computational Decoupling in Temperature-Varied LLM Outputs of Structured Fictional Data Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T04:52:23.229768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:52:23.229768Z digest=sha256:ec94ce325d52ae6ee088acf04c075f1df0ad69ee3cf5bfe5f09b6dc2a73e71f6

Observation bef98e0e-ed30-4e32-bfce-91eb4abe7c8e · inbound

A Showdown of ChatGPT vs DeepSeek in Solving Programming Tasks cites this paper.

A Showdown of ChatGPT vs DeepSeek in Solving Programming Tasks Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-23T00:27:17.609767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T00:26:46.078000Z digest=sha256:b909b818e7fefa9beb92a2d50e1d29f9d4f8ff46cfd6caf614ea10d37ab70ea6

Observation 2a960d3d-0888-47d2-9402-71fe77d091f5 · inbound

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models cites this paper.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:11.889893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:11.889893Z digest=sha256:049dfca85a37dc5658387495f633f155e9923b229221ddb33557526798cefa97

Observation 2c2ad01c-1d6e-4ccf-abb3-9329f1992d0e · inbound

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy cites this paper.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:38.200430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:02:38.200430Z digest=sha256:afbad86b664f17bd022e0d123028b0ef709923fde96e1ba162ed856c16943b65

Observation 1da43d22-9249-4b34-972c-c6995c4e0c99 · inbound

SE-GA: Memory-Augmented Self-Evolution for GUI Agents cites this paper.

SE-GA: Memory-Augmented Self-Evolution for GUI Agents Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:42:46.449499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-19T20:38:37.264654Z digest=sha256:2751378a8bfa2ba1c151c6fb213f569a65a5d5934659cb4ca8aab7982756c42e