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Paper Citation Record · LEDGER

Quantifying the Capability Boundary of DeepSeek Models: An Application-Driven Performance Analysis

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.11164.

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

pith.paper-citation-record.v1
2502.11164 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:48:58.544846Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:09:36.832443Z

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 28be4821-8707-4aab-be47-7e97d0c556f1 · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models Quantifying the Capability Boundary of DeepSeek Models: An Application-Driven Performance Analysis

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:09:36.834124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-26T16:15:22.543601Z digest=sha256:e3d01e96c48793f503824bb673e5b73aa298e22fbba5b943035283b20ea34104

Observation 9d7513cb-f09b-4156-81c9-332fb0536e86 · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models Quantifying the Capability Boundary of DeepSeek Models: An Application-Driven Performance Analysis

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T10:48:58.544846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:48:58.544846Z digest=sha256:b8aece92a6a6190423da2111bd98a50ccd2caf98df77dd347023d011b98f0e14