Paper Citation Record · LEDGER

PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1711.05769.

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

pith.paper-citation-record.v1
1711.05769 v2

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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:11:46.044751Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T14:19:53.556405Z

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 0d8b0f5a-e18e-4202-938a-c8d361f16c67 · inbound

The impact of allocation strategies in subset learning on the expressive power of neural networks cites this paper.

The impact of allocation strategies in subset learning on the expressive power of neural networks PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T16:11:46.044751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e3293f7-faa4-46ae-a36c-40e9b8d32e9a · inbound

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions cites this paper.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:11.568409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5235a8c-ad07-4e8c-b8a8-fa8dfb812089 · inbound

C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor cites this paper.

C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T05:47:37.301030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cbb0ce2-7cde-4140-bd8a-472275b78ce9 · inbound

BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding cites this paper.

BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

Reference 114

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T21:16:51.518692Z

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.

Observation 21b32f6c-49d1-49f6-a696-5a2be6cf01c3 · inbound

Mesh Based Simulations with Spatial and Temporal awareness cites this paper.

Mesh Based Simulations with Spatial and Temporal awareness PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:46:20.952368Z

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.

Observation 83c033c6-826e-4e3f-8bbe-9c2a2c1063e9 · inbound

World Action Models Enable Continual Imitation Learning with Recurrent Generative Replays cites this paper.

World Action Models Enable Continual Imitation Learning with Recurrent Generative Replays PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-04T14:19:53.559242Z

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.