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Paper Citation Record · LEDGER

Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.00262.

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

pith.paper-citation-record.v1
2305.00262 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:08:09.267257Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T18:17:35.699434Z

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 dcc564e9-e5b1-49e1-b1dc-1cd9653da385 · inbound

LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations cites this paper.

LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-10T18:17:35.703566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:17:35.586649Z digest=sha256:9a65bbec8d37fbe70e98d52e8de27df19223b7deefbb321016243fd5b9d01351

Observation d4a1e53c-2a6d-4132-96b3-4dbdb28738c9 · inbound

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs cites this paper.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T20:08:09.267257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:08:09.267257Z digest=sha256:258810e402e7cb8065e5e1c1a135ef37c5abd43da1bfde300a157280c93c5ac1