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Paper Citation Record · LEDGER

The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2010.08127.

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

pith.paper-citation-record.v1
2010.08127 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 2026-08-17T06:30:58.91139+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:03.536991Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T07:00:43.283217Z

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 9d40431e-0780-4aa4-993e-42d853c25105 · inbound

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models cites this paper.

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:26:25.855730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T23:26:25.323988Z digest=sha256:dcd1f06f13b0774f12916e99c2ce18347134f38cd77bdd1d9d5831ab409f9487

Observation 62cfffc9-b43e-4f9d-a808-d60afbc9b914 · inbound

Querying Kernel Methods Suffices for Reconstructing their Training Data cites this paper.

Querying Kernel Methods Suffices for Reconstructing their Training Data The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T14:34:03.536991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:34:03.536991Z digest=sha256:2ce7f8227023ec9a0ead07ce5f286d1c6755896623d498c55a48d1aa9df47821

Observation 83538175-3f10-491f-a513-e264f7629813 · inbound

Not All Explanations for Deep Learning Phenomena Are Equally Valuable cites this paper.

Not All Explanations for Deep Learning Phenomena Are Equally Valuable The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T21:50:40.549615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:50:40.549615Z digest=sha256:2cf2e349c51a16e4bbb78979f2504fedf4b993bc7d03b594da3ece459c7d4235

Observation 04774ee9-505a-45a6-9571-c86f9dea0c0d · inbound

Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks cites this paper.

Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T20:48:52.826035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:48:52.826035Z digest=sha256:3b84c92ba32fd015d269ab0a808bc97c44677b89f58de57b8076efb92e5aa695

Observation 95393048-a615-43f3-90a6-62d4953e4d51 · inbound

Theory of Optimal Learning Rate Schedules and Scaling Laws for a Random Feature Model cites this paper.

Theory of Optimal Learning Rate Schedules and Scaling Laws for a Random Feature Model The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:00:43.285084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-16T06:58:38.927268Z digest=sha256:57bbcc27104cfa6d1c8f78ca795d75f25795a29d56aa576cc71322d4a9b34f1c

Observation 01b747cd-7944-4ddb-8073-d098cf18f9a6 · inbound

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior cites this paper.

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers

Reference 217

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:16:06.944268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-08T17:47:09.591001Z digest=sha256:2e3dbf1e0fa6c9a4899fb32f3ba86d6192cf4bed9f48c6d97a71a092dccbddf7

Observation d04b29a1-ad87-4f3c-8b84-b42120ceb547 · inbound

Model-based Bootstrap of Controlled Markov Chains cites this paper.

Model-based Bootstrap of Controlled Markov Chains The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-13T03:22:10.020610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T03:21:13.908154Z digest=sha256:a083b386a64263509d75fabb023a9b6ec565a2442ce9783d0462645da38b65d4

Observation 5628ff97-a827-494b-8468-6c1909e3c845 · inbound

Model-based Bootstrap of Controlled Markov Chains cites this paper.

Model-based Bootstrap of Controlled Markov Chains The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-12T16:58:28.557053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T16:58:28.557053Z digest=sha256:7fecc2895b8fd7f4eedfabf72a77760ad82fd593dde01bd577fdd2b8e5a90bdb