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Paper Citation Record · LEDGER

Importance of Search and Evaluation Strategies in Neural Dialogue Modeling

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1811.00907.

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

pith.paper-citation-record.v1
1811.00907 v3

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:20:16.776351Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:06:24.190983Z

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 89d81ba5-9760-4bd5-ab5c-1ec0d6815487 · inbound

SiPipe: Bridging the CPU-GPU Utilization Gap for Efficient Pipeline-Parallel LLM Inference cites this paper.

SiPipe: Bridging the CPU-GPU Utilization Gap for Efficient Pipeline-Parallel LLM Inference Importance of Search and Evaluation Strategies in Neural Dialogue Modeling

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-06T22:20:16.776351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:20:16.776351Z digest=sha256:c183a917fff659b601c12b440e638fbaf89accb2d7c7fc79745643c85d53db01

Observation f699c8a8-6c88-42af-a5b1-fedd9d2fd7fd · inbound

Scaling LLM Inference Beyond Amdahl`s Limits via Eliminating Non-Scalable Overheads cites this paper.

Scaling LLM Inference Beyond Amdahl`s Limits via Eliminating Non-Scalable Overheads Importance of Search and Evaluation Strategies in Neural Dialogue Modeling

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:06:24.192509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T12:48:02.761437Z digest=sha256:e37460811c6a3bedad426bf6638fa9cd43fd16a48eaad7ece0e267dce3b82aab