Paper Citation Record · LEDGER

Rigging the Lottery: Making All Tickets Winners

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1911.11134.

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

pith.paper-citation-record.v1
1911.11134 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:22:43.615659Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T19:47:18.848902Z

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 f159c5b0-9b91-4ac1-8cc2-e9810d49503f · inbound

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition cites this paper.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Rigging the Lottery: Making All Tickets Winners

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T20:22:43.615659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6c03526-9886-4a35-bb5e-1db5eca44b56 · inbound

On Accelerating Edge AI: Optimizing Resource-Constrained Environments cites this paper.

On Accelerating Edge AI: Optimizing Resource-Constrained Environments Rigging the Lottery: Making All Tickets Winners

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:38.265887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 732ef82f-9c5f-4133-9b06-b1c498aca163 · inbound

NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling cites this paper.

NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling Rigging the Lottery: Making All Tickets Winners

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:44:13.153977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01b6fea3-c96b-42cc-8038-fa1ffd9faca2 · inbound

Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts cites this paper.

Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts Rigging the Lottery: Making All Tickets Winners

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T19:07:33.894102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a24c27f-9b79-4975-ac31-a4cdec9562e5 · inbound

Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies cites this paper.

Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies Rigging the Lottery: Making All Tickets Winners

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:20:16.741083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6f8ee54e-81a7-4864-bee1-ac8afa8e5401 · inbound

DroneScan-YOLO: Redundancy-Aware Lightweight Detection for Tiny Objects in UAV Imagery cites this paper.

DroneScan-YOLO: Redundancy-Aware Lightweight Detection for Tiny Objects in UAV Imagery Rigging the Lottery: Making All Tickets Winners

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:26:02.834954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ff6778a2-268a-4568-a6d8-74bfbae821b6 · inbound

Scaling Up Thermodynamic AI Models cites this paper.

Scaling Up Thermodynamic AI Models Rigging the Lottery: Making All Tickets Winners

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:47:18.850506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.