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Paper Citation Record · LEDGER

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

As of 10 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=sha256:3f25242a04cd727f9cdfbe832103baa684a939f927fbf57282c4395ed89641f4

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:ccaf5f462415c9f3fddc112d42e9d1f12d8f9ae2c171e3b840e4ccc50b8323d6

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=sha256:0bd78f42aa43be32da7537128aa8d5bb7dc311c79c22213750ae564d1edc0bb5

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:d4fe5a420025375a48ca15a28560f4ff1f9aa42406221387c2f3352f2afb4c8d

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=sha256:1ec793da672a3bda52e81da15513a5fddac8d11c477739df0c7bf66467bfe01d

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:a331cfeccbc9b1afaf20d4d012a8251384e2dc04799da5e90e5006aa85419aec

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=sha256:82a766cb85d3fd4e81ebfc3f50730b930c022f681b502d2df0af774a9641e89e

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:af8837eb0f7d2008b27e64e120d10b33ac7236b571f56bc6520246eed085b3fb