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Paper Citation Record · LEDGER

Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1911.10470.

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

pith.paper-citation-record.v1
1911.10470 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 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:57:28.993648Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T04:33:39.504934Z

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 7f273120-a35a-4ccb-8644-2763eb948a74 · inbound

REALM: Retrieval-Augmented Language Model Pre-Training cites this paper.

REALM: Retrieval-Augmented Language Model Pre-Training Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:59:16.139793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T09:59:16.120886Z digest=sha256:a6bf472800d817110ed71864ed206b0c3f2069ed09ee75351a1ba3885ad59ae6

Observation 6f24b968-5381-4ee3-84b5-daacea8f9237 · inbound

How Much Knowledge Can You Pack Into the Parameters of a Language Model? cites this paper.

How Much Knowledge Can You Pack Into the Parameters of a Language Model? Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:00:28.088502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T02:00:28.055865Z digest=sha256:05f69a14c3a7b7d3207420e3cb978d16f67a250fced3983f9d0d52529a46fe12

Observation 69d2608c-60cd-4dfc-8631-11d1387103f1 · inbound

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

Retrieval-Augmented Generation with Graphs (GraphRAG) Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.508025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:a62801d660f6b87ecfa7fb4eb87ad43b2bfc7c936f123bd55b98191d2bc10140

Observation a4f4269c-584c-452e-8aea-136e628ba591 · inbound

GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework cites this paper.

GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T13:36:34.835295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:36:34.835295Z digest=sha256:55c2ab06580e858a2fd9ed0ebdc441980a87ef6ae97c2b848940dcbba80036d1

Observation 5c57cd8c-0f39-4305-a529-e9298e2f2dae · inbound

RAG over Thinking Traces Can Improve Reasoning Tasks cites this paper.

RAG over Thinking Traces Can Improve Reasoning Tasks Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T00:41:25.425302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-07T14:37:48.165452Z digest=sha256:8c7e97992c1d259457e0a709ad65a0e7a050ac630136fb498b63b7d08f624b87

Observation e4264b53-ee77-4997-b03c-eddf216603db · inbound

Evidence Interfaces Shape How Retrieval-Augmented Readers Use Support cites this paper.

Evidence Interfaces Shape How Retrieval-Augmented Readers Use Support Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-01T19:03:39.113959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T19:03:39.113959Z digest=sha256:f02ca4031cd5789bc3a1f19477d57bda48e8d33edff6e040b0afbbcbe198a8fb

Observation 9bfb43b2-caa7-4230-811a-f4198df51722 · inbound

HyCE-RAG: Hypergraph Chain-of-Evidence Retrieval-Augmented Generation for Explainable Multi-hop Question Answering cites this paper.

HyCE-RAG: Hypergraph Chain-of-Evidence Retrieval-Augmented Generation for Explainable Multi-hop Question Answering Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T11:36:04.093079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:36:04.093079Z digest=sha256:5a6f3fabce629d1c4bbd6d91a4df3a6e42df410e0639ae8637832c1c1b735064

Observation f387594a-6d8d-4b7b-8fa7-5284e86278f1 · inbound

Beyond Top-K: Replacing Black-Box Retrieval with Interpretable Agentic Operations cites this paper.

Beyond Top-K: Replacing Black-Box Retrieval with Interpretable Agentic Operations Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T05:57:28.993648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:57:28.993648Z digest=sha256:20ec3bc2140ef81d1351cd96d3e14a76e8adb6a5fcd01991e18946d17ed58c28