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Paper Citation Record · LEDGER

Generating Multi-Aspect Queries for Conversational Search

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.19302.

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

pith.paper-citation-record.v1
2403.19302 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:01:18.867340Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:07:56.197621Z

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 f7335116-3109-4b02-9099-2a57132edf8a · inbound

IRLab@iKAT24: Learned Sparse Retrieval with Multi-aspect LLM Query Generation for Conversational Search cites this paper.

IRLab@iKAT24: Learned Sparse Retrieval with Multi-aspect LLM Query Generation for Conversational Search Generating Multi-Aspect Queries for Conversational Search

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T15:01:18.867340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:01:18.867340Z digest=sha256:81e4a987aa301ecb32eda8e101a475392f59396842e737eabbeee531e4b63140

Observation b5d85a29-35bf-47ee-996d-98ffc9381708 · inbound

A Survey of the State-of-the-Art in Conversational Question Answering Systems cites this paper.

A Survey of the State-of-the-Art in Conversational Question Answering Systems Generating Multi-Aspect Queries for Conversational Search

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-05T05:11:25.171602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:11:25.171602Z digest=sha256:1d3864f6bf6be5d7dde56f145b66b93f67d6df2d4ce0fc0953922f0f2e326d53

Observation 8c3e8251-8ccb-4011-9443-f23ae33e9ec6 · inbound

uva-irlab-conv at SemEval-2026 Task 8: Multi-Turn RAG with Learned Sparse Retrieval and Listwise Reranking cites this paper.

uva-irlab-conv at SemEval-2026 Task 8: Multi-Turn RAG with Learned Sparse Retrieval and Listwise Reranking Generating Multi-Aspect Queries for Conversational Search

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:07:56.199214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T10:14:02.769563Z digest=sha256:c55b6dc7fc594f0c325683799256f76eadd5344f77d059fd317ee9e9362e5fd9