Paper Citation Record · LEDGER

RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2010.00200.

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

pith.paper-citation-record.v1
2010.00200 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:28:40.559182Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1229
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8ee8c703-7dbf-41a6-86ca-bb72cad1e0d6 · inbound

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning cites this paper.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-08T19:28:40.559182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e66e33c5-7d09-496f-9288-4efbb380728d · inbound

Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks cites this paper.

Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:35:20.021931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 103ffde5-e9d9-49ee-aeb7-619ba50c770c · inbound

Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks cites this paper.

Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-08T18:33:58.176997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fa6869b3-2a6c-472a-8a2d-ee757453cc1e · inbound

Ultrametric Graphons and Hierarchical Community Networks: Spectral Theory and Applications cites this paper.

Ultrametric Graphons and Hierarchical Community Networks: Spectral Theory and Applications RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-14T18:47:35.629861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9747d3ec-7b7f-45b9-b1e3-122218e42eb6 · inbound

Agentic Hybrid RAG for Evidence-Grounded Muon Collider Analysis cites this paper.

Agentic Hybrid RAG for Evidence-Grounded Muon Collider Analysis RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T07:57:44.907963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c11bf68f-4dcb-43b5-85b8-687759ed1f50 · inbound

Evolutionary Optimization Reveals Structural Constraints on Reservoir Architecture for Spatiotemporal Chaos cites this paper.

Evolutionary Optimization Reveals Structural Constraints on Reservoir Architecture for Spatiotemporal Chaos RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-26T06:19:02.995239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.