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Paper Citation Record · LEDGER

Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.16568.

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

pith.paper-citation-record.v1
2402.16568 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:56:16.748350Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:09:38.085924Z

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 9f6ad947-b137-44c1-a3f8-d1c24b2a574e · inbound

Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.

Retrieval-Augmented Generation for AI-Generated Content: A Survey Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models

Reference 281

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:32:17.591455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T13:32:17.177021Z digest=sha256:c4f814826071f0fe76690407a4806ca111e3da30926f91abe90b98ac4b09339f

Observation fde08c3f-a034-4019-be0c-d8140dd33915 · inbound

Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.

Retrieval-Augmented Generation with Graphs (GraphRAG) Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models

Reference 119

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.399692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:92d9180d96a713a5e82bf5fbffe488b6551853f319012f803c8cc97ed846fc43

Observation b62c6764-6efc-4a12-8905-ec203204cb49 · inbound

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot cites this paper.

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-08T23:56:16.748350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:56:16.748350Z digest=sha256:0a564221c714d87e38f693962592b76d50078a34e5bf9783b45d16781e5eb925

Observation b02ba82e-1a16-403a-8c94-54a7aec3dddf · inbound

Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering cites this paper.

Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T04:47:36.176716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:47:36.176716Z digest=sha256:6edca86ba62ff2ff0d4ee395ae954ea5a956cda0eca202085aeda253defae0b2

Observation 87a2a624-eec2-4285-90d6-9f9481ba50ef · inbound

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models cites this paper.

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:54.807676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:54.807676Z digest=sha256:d4db96d1882a0d384afe1f2bb1c902b55b60cf95fff5c8376a3610d273480530

Observation 73dcbfa7-4408-434b-9c40-1e0febc744a8 · inbound

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning cites this paper.

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T16:58:04.447597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:58:04.447597Z digest=sha256:d153e1b29aafe5f8a4d7d29a7da78b891e220295626afb10e7a2a4757982c329

Observation a71ca60b-37e6-4687-9880-f88f6e7be094 · inbound

STK-Adapter: Incorporating Evolving Graph and Event Chain for Temporal Knowledge Graph Extrapolation cites this paper.

STK-Adapter: Incorporating Evolving Graph and Event Chain for Temporal Knowledge Graph Extrapolation Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:51:07.075459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T02:40:21.647700Z digest=sha256:0e674012901a9075b7c8276dec5709da013a17b496ed58580cd9137ac8012c43

Observation 3a2e8d03-321e-4fdb-98ed-79e970a9277d · inbound

PulseCX: Breaking the Closed-World Assumption in Real-Time CX cites this paper.

PulseCX: Breaking the Closed-World Assumption in Real-Time CX Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T06:09:38.088067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T14:43:47.569905Z digest=sha256:474d42be81d36ac7fd73cf05d0a5c0210ddff0dbc957a3ea17ea2d7453066183