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Paper Citation Record · LEDGER

Exploring the Limits of Large Scale Pre-training

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2110.02095.

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

pith.paper-citation-record.v1
2110.02095 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:01:06.827148Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T22:56:53.133697Z

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 fdd2f264-e713-4ecc-a805-a541387c8870 · inbound

Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks cites this paper.

Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks Exploring the Limits of Large Scale Pre-training

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T13:01:06.827148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:01:06.827148Z digest=sha256:649c2cae21f604a43714dbe2b9b808043d16c31d7553621c145257eb070bf7ed

Observation 24a0ee2a-be06-4e0c-ab17-dac540d80973 · inbound

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search cites this paper.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Exploring the Limits of Large Scale Pre-training

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T05:07:39.765677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:07:39.765677Z digest=sha256:c4192fbd71c01d7cca23a8aeb7d024313682b8e68814a4a46db6945434296ada

Observation 0806bbc1-6085-4f1f-81eb-fd3649b9f651 · inbound

PaCo-FR: Patch-Pixel Aligned End-to-End Codebook Learning for Facial Representation Pre-training cites this paper.

PaCo-FR: Patch-Pixel Aligned End-to-End Codebook Learning for Facial Representation Pre-training Exploring the Limits of Large Scale Pre-training

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:56:53.135838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T22:53:23.271423Z digest=sha256:c59b6aeea6021282902f6d730d3468e92413338d969fa0d1d9810711f7a4a6b9

Observation e666ca99-7e60-4aa2-9256-418dae342f36 · inbound

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning cites this paper.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Exploring the Limits of Large Scale Pre-training

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-04T16:57:31.876080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:57:31.876080Z digest=sha256:5beaa23185cfa0d6c19c5e4f103509b4c2a8844c4b9b9ce4bbc656143c40c221