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Paper Citation Record · LEDGER

Dialogue Games for Benchmarking Language Understanding: Motivation, Taxonomy, Strategy

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2304.07007.

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

pith.paper-citation-record.v1
2304.07007 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:20:07.186568Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6380703f-f30d-4406-bc32-bf80c4a9acb3 · inbound

Multi-agent KTO: Reinforcing Strategic Interactions of Large Language Model in Language Game cites this paper.

Multi-agent KTO: Reinforcing Strategic Interactions of Large Language Model in Language Game Dialogue Games for Benchmarking Language Understanding: Motivation, Taxonomy, Strategy

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T15:20:07.186568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:20:07.186568Z digest=sha256:7f38e5618c79ba2c1d72c13305a54e645fbd8aad889fe9e496d775ad371f0ab0

Observation 5984c061-d95f-4d65-a1f4-1563c21e8f09 · inbound

MDC-R: The Minecraft Dialogue Corpus with Reference cites this paper.

MDC-R: The Minecraft Dialogue Corpus with Reference Dialogue Games for Benchmarking Language Understanding: Motivation, Taxonomy, Strategy

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:57.261318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:15:57.261318Z digest=sha256:83f87df4a306d5117a786747c122bc621a76d7bf7244bd6f710fd3a85d409e89

Observation 23d4d41b-111d-4fc9-ae39-f15a525884d9 · inbound

Benchmarked Yet Not Measured -- Generative AI Should be Evaluated Against Real-World Utility cites this paper.

Benchmarked Yet Not Measured -- Generative AI Should be Evaluated Against Real-World Utility Dialogue Games for Benchmarking Language Understanding: Motivation, Taxonomy, Strategy

Reference 239

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:25:52.521486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-11T01:21:07.188482Z digest=sha256:a803648793ab9c342b613ee7e5ef09e3052652ea10a09478492c18e463022dcd

Observation 1e834a78-4837-4893-907e-ba9f253c205f · inbound

Benchmarked Yet Not Measured -- Generative AI Should be Evaluated Against Real-World Utility cites this paper.

Benchmarked Yet Not Measured -- Generative AI Should be Evaluated Against Real-World Utility Dialogue Games for Benchmarking Language Understanding: Motivation, Taxonomy, Strategy

Reference 239

Resolution
verified exact
arxiv_id, observed 2026-05-12T04:36:21.837300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-12T04:31:41.220297Z digest=sha256:3f6aca5e604fddadf12f62da1f40ce429584571c14321824414d999d7e8f9adf