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Paper Citation Record · LEDGER

Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:38:45.741878Z

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T09:59:16.120886Z digest=sha256:e2b4e2f85500038846ade790b2bc93c78d1c2abf7e791d3e253df39b041ccdc2

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-15T02:00:28.055865Z digest=sha256:2f8a98e34f98f1f0613414f864d389a40bf2b10f7311aa3dc239767ba923a1fb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:63fc5e1a4b8adecdac728b14a405353a8d0dc9d63dafbfcfd6de25bab4a2945a

Observation 8f5c6d27-fe3d-4a38-b5b5-e12a28ee469d · inbound

Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMs cites this paper.

Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMs Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T14:52:38.120109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:52:38.120109Z digest=sha256:5fb651dec463700c50b7d66eae6d6148c6aa1cb4ba474078ed18c9744257628c

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:b8bc16a2cac6ed3e3e4ab35d408fa2da4c30907991cc30d426253cc42ecad04d

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-07T14:37:48.165452Z digest=sha256:5209346f16f9a860c10a8f44f94aab581767d59e607e7d1909f7e705431036c9

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=sha256:797ae958062afab831f494735ea60e4b4cef3445fb787065526cfcfaa7026b55

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:ec63f12fd514b20f55875730c6036b2fca44d2959f3ed60b6ca039b6fdbc4d39

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=sha256:9e99b2982b6d03b18896ca3b170e33ff4d053add51d52779af8e29a8ae04abbd

Observation 93f80f6c-cef1-40f5-95c3-1e86d2bd4105 · 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 2026-08-15T14:38:45.741878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:38:45.741878Z digest=sha256:51b0e9533a4ff80e2ec569efbb972c8e817482c11d699704aa929ae4c61b04d0