Pith. sign in

Paper Citation Record · LEDGER

MC-BERT: Efficient Language Pre-Training via a Meta Controller

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2006.05744.

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

pith.paper-citation-record.v1
2006.05744 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:45:43.144009Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:44:56.225920Z

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 4efc0bb4-ec27-45f0-b7b8-0487c5db447b · inbound

Enriched text-guided variational multimodal knowledge distillation network (VMD) for automated diagnosis of plaque vulnerability in 3D carotid artery MRI cites this paper.

Enriched text-guided variational multimodal knowledge distillation network (VMD) for automated diagnosis of plaque vulnerability in 3D carotid artery MRI MC-BERT: Efficient Language Pre-Training via a Meta Controller

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T16:45:43.144009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:45:43.144009Z digest=sha256:557cf9a14248bfe94759f05a29e97ea8a5e4715071898c678c3a28a6e3decca9

Observation d772805b-848d-4b57-8150-ce2144f6837c · inbound

MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports cites this paper.

MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports MC-BERT: Efficient Language Pre-Training via a Meta Controller

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:45:40.894046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T18:10:43.434573Z digest=sha256:33ba2b665c496e92d60ab95eb6478363e9739b0e88c501369c76aaeeceaea00c

Observation e633432f-3479-4f3c-8dbc-f5f327aa5aeb · inbound

Atom-level Protein Representation Learning Improves Protein Structure Prediction cites this paper.

Atom-level Protein Representation Learning Improves Protein Structure Prediction MC-BERT: Efficient Language Pre-Training via a Meta Controller

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-22T02:20:56.082345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T02:19:44.792525Z digest=sha256:c3867204fc248670c37f1a0451709e0c00707cc8c9b2c1ae569f2893602d22d4

Observation 412987c1-6346-4ec4-8f05-d8a6c26f1924 · inbound

Atom-level Protein Representation Learning Improves Protein Structure Prediction cites this paper.

Atom-level Protein Representation Learning Improves Protein Structure Prediction MC-BERT: Efficient Language Pre-Training via a Meta Controller

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-25T02:55:16.407453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T02:53:31.474378Z digest=sha256:972ce27ebd5ae131ec6a592d238bf141934707b6bfe93dd7e6555227262579f3

Observation 418cb1d0-a98b-41f9-a4cc-6c05c8c1c992 · inbound

Atom-level Protein Representation Learning Improves Protein Structure Prediction cites this paper.

Atom-level Protein Representation Learning Improves Protein Structure Prediction MC-BERT: Efficient Language Pre-Training via a Meta Controller

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:44:56.227803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T16:36:34.818604Z digest=sha256:7ffa059d8d9fe1d1f04e3ed3fc0f8e291fafcf685998c557a90050a8c147f5ca