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Paper Citation Record · LEDGER

DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1910.00610.

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

pith.paper-citation-record.v1
1910.00610 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:56:16.946891Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:20:53.220164Z

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 9b74f238-9674-4899-a13a-36cb4fee7b98 · inbound

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot cites this paper.

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-08T23:56:16.946891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:56:16.946891Z digest=sha256:d3a785096ffa2d4488950b81961040ce8990a812622f97e4c542f4658c6551e2

Observation 999bb4dd-4b30-42db-8755-3d0a31614e91 · inbound

Enhancing Medical Dialogue Generation through Knowledge Refinement and Dynamic Prompt Adjustment cites this paper.

Enhancing Medical Dialogue Generation through Knowledge Refinement and Dynamic Prompt Adjustment DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:20:53.277155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:20:50.391570Z digest=sha256:7ff94ac418482cb8d6e4a53a18d3e58c68555517c632935c7f3f8c25a8c588ac