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Paper Citation Record · LEDGER

RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2109.08678.

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

pith.paper-citation-record.v1
2109.08678 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:38:09.355073Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:26:06.297425Z

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 24ef0a97-b881-40a0-afe3-e0d210e45ba6 · inbound

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering cites this paper.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T20:38:09.355073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:38:09.355073Z digest=sha256:22c248d4d78275f6857ab402e20a7ae147a71755bcce5b42d0bb6d1302eddebe

Observation 2de8b3dd-eb9e-4586-9c05-8aaab5b9a943 · inbound

Search-on-Graph: Iterative Informed Navigation for Large Language Model Reasoning on Knowledge Graphs cites this paper.

Search-on-Graph: Iterative Informed Navigation for Large Language Model Reasoning on Knowledge Graphs RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-04T10:45:05.164828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:45:05.164828Z digest=sha256:b5adb2833e0fd6ac2534aa89cf24c9775b8497181ff3ef7399a154b4f1671541

Observation 170cc808-a2db-4b89-b38e-5218616f545e · inbound

Graph Query Generation with Constraint-guided Large Language Agents cites this paper.

Graph Query Generation with Constraint-guided Large Language Agents RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:50:59.899629Z

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=2026-05-10T16:56:14.294304Z digest=sha256:f7a07b9d6ba4d931c7a856f7a56d89a4778f2ccb11b6414cc924afd5687ee2f2

Observation cc2a6908-628e-42d3-b7ec-34af13a721a0 · inbound

GEM: Graph-Enhanced Mixture-of-Experts with ReAct Agents for Dialogue State Tracking cites this paper.

GEM: Graph-Enhanced Mixture-of-Experts with ReAct Agents for Dialogue State Tracking RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:26:06.299307Z

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=2026-05-08T17:36:29.717792Z digest=sha256:893da63cc8597bdfe762e29f0038ae8b911ec61d2fa016a5ea7f0bf0fbaff885

Observation 352804f7-c15d-48d0-9169-55fbacc523ba · inbound

Leveraging Trajectory Graphs for Pre-Execution Error Diagnosis in Agentic LLM Systems cites this paper.

Leveraging Trajectory Graphs for Pre-Execution Error Diagnosis in Agentic LLM Systems RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering

Reference 72

Resolution
unresolved
no resolver link, observed 2026-07-31T00:46:12.925134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T00:46:12.925134Z digest=sha256:0d57f094a43f85c7a6f9987039088ea09c90de37d2502d5e91280b1f76444815