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Paper Citation Record · LEDGER

Case-based Reasoning for Natural Language Queries over Knowledge Bases

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.08762.

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

pith.paper-citation-record.v1
2104.08762 v2

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 2026-08-10T18:59:58.037808Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T19:31:50.142072Z

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 d0959183-6c79-418c-bcc5-59f0c00d00f5 · inbound

A Method for Multi-Hop Question Answering on Persian Knowledge Graph cites this paper.

A Method for Multi-Hop Question Answering on Persian Knowledge Graph Case-based Reasoning for Natural Language Queries over Knowledge Bases

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:58.037808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:58.037808Z digest=sha256:032b6b6e0bffe0553609edb2c98c150be3730f6f2557067c87c26a50ae0e2c24

Observation 25a8979e-cbce-4df8-af59-7e5b88c77123 · inbound

From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation cites this paper.

From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation Case-based Reasoning for Natural Language Queries over Knowledge Bases

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-09T19:31:50.149105Z

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=arxiv_source observed=2026-08-09T19:31:49.595596Z digest=sha256:e1ff4d807ef96ed36076ee37cfb084705e16e660eee619687e29369a0f3873e1