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Paper Citation Record · LEDGER

InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.02329.

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

pith.paper-citation-record.v1
2010.02329 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:07:15.205666Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T12:14:26.620976Z

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 a8585808-b885-480e-b8ee-e0a9b1efe396 · inbound

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model cites this paper.

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-24T12:14:26.624252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T12:10:49.690618Z digest=sha256:3d91e5ba0f4c3690d20ac61ff8e58d48afa9b1976617107cd82707d5ba4d09b0

Observation ed3a0578-3a27-4391-99aa-c780ddb2ca01 · inbound

Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations cites this paper.

Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T21:07:15.205666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:07:15.205666Z digest=sha256:f40ebcd72c6ca16b420518b5a6a2ee86d80c11edfea8b84c027eab7c3fc9fa11