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Paper Citation Record · LEDGER

Evaluating Pretrained Transformer Models for Entity Linking in Task-Oriented Dialog

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2112.08327.

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

pith.paper-citation-record.v1
2112.08327 v1

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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:38:55.257118Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:08:52.809157Z

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 451d3e01-72e5-44b5-ab23-0c4399fb367b · inbound

InfoTech Assistant: A Multimodal Conversational Agent for InfoTechnology Web Portal Queries cites this paper.

InfoTech Assistant: A Multimodal Conversational Agent for InfoTechnology Web Portal Queries Evaluating Pretrained Transformer Models for Entity Linking in Task-Oriented Dialog

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T10:38:55.257118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:38:55.257118Z digest=sha256:1286eb5dd45e7ecc9b4980285b8fd552a8410f509745e53db68076bb19581a44

Observation 35d386fb-0563-479a-b5e4-cbc4239dda81 · inbound

Never Come Up Empty: Adaptive HyDE Retrieval for Improving LLM Developer Support cites this paper.

Never Come Up Empty: Adaptive HyDE Retrieval for Improving LLM Developer Support Evaluating Pretrained Transformer Models for Entity Linking in Task-Oriented Dialog

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:08:52.860180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T15:08:46.832333Z digest=sha256:8581eede81c46a0f8aa7789f4c5b15b4250b512bc93b55f7be79ad8fc98b018e