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Paper Citation Record · LEDGER

RomeBERT: Robust Training of Multi-Exit BERT

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2101.09755.

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

pith.paper-citation-record.v1
2101.09755 v1

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:40:46.209792Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T17:57:26.135225Z

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 abd980ef-c9c6-48d5-891b-986e5410b4d0 · inbound

A Survey of Early Exit Deep Neural Networks in NLP cites this paper.

A Survey of Early Exit Deep Neural Networks in NLP RomeBERT: Robust Training of Multi-Exit BERT

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T20:40:46.209792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:40:46.209792Z digest=sha256:0df457f00a5f34385114b2bf6db1b612b15ee4dff3c97300806721c1fa1ceee7

Observation 81f8680b-dd7c-41c0-b7ec-7f9e4817c9d6 · inbound

BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts cites this paper.

BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts RomeBERT: Robust Training of Multi-Exit BERT

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-09T17:57:26.140681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T17:57:25.745258Z digest=sha256:5f341515f576a99b7a0d4f6af1693c6f900029069236a523fb9415a73dd6b927