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Paper Citation Record · LEDGER

Enhancing Answer Selection in Community Question Answering with Pre-trained and Large Language Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.17502.

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

pith.paper-citation-record.v1
2311.17502 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:48:00.852428Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

1
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f08861cb-d0e0-445a-9361-10730bf3ffe4 · inbound

Automatic Database Configuration Debugging using Retrieval-Augmented Language Models cites this paper.

Automatic Database Configuration Debugging using Retrieval-Augmented Language Models Enhancing Answer Selection in Community Question Answering with Pre-trained and Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T18:48:00.852428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:48:00.852428Z digest=sha256:c03d177fffc4a0812aa04a84c50e1ce3caed911f39b101f18ee0911743b3bfbc

Observation be4a0c13-0da7-4f1e-be83-2bcea8fc2cc3 · inbound

Multi-granular Training Strategies for Robust Multi-hop Reasoning Over Noisy and Heterogeneous Knowledge Sources cites this paper.

Multi-granular Training Strategies for Robust Multi-hop Reasoning Over Noisy and Heterogeneous Knowledge Sources Enhancing Answer Selection in Community Question Answering with Pre-trained and Large Language Models

Reference 29

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T17:22:30.858884Z

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=pdf_text observed=2026-08-08T17:22:30.817740Z digest=sha256:67ea3809771a8b07de32036b5810d3576a15700cebaf45c71804d639834bfd14