Paper Citation Record · LEDGER

A Primer in BERTology: What we know about how BERT works

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2002.12327.

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

pith.paper-citation-record.v1
2002.12327 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:49:32.844886Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

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 a7b6d9b3-1770-4955-966f-1ff062a0da16 · inbound

Mask-GCG: Are All Tokens in Adversarial Suffixes Necessary for Jailbreak Attacks? cites this paper.

Mask-GCG: Are All Tokens in Adversarial Suffixes Necessary for Jailbreak Attacks? A Primer in BERTology: What we know about how BERT works

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T23:49:32.844886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ec64254-dcea-4a08-b4b2-7bfc06813039 · inbound

Hierarchical vs. Flat Iteration in Shared-Weight Transformers cites this paper.

Hierarchical vs. Flat Iteration in Shared-Weight Transformers A Primer in BERTology: What we know about how BERT works

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:00:24.320590Z

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.

Observation a65773ee-2420-4e2a-9d45-380dbc5df2c1 · inbound

Monitoring Neural Training with Topology: A Footprint-Predictable Collapse Index cites this paper.

Monitoring Neural Training with Topology: A Footprint-Predictable Collapse Index A Primer in BERTology: What we know about how BERT works

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:41:19.318495Z

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.

Observation 9c38c54f-53e2-4b1f-8b81-6447d260d158 · inbound

From Syntax to Semantics: Unveiling the Emergence of Chirality in SMILES Translation Models cites this paper.

From Syntax to Semantics: Unveiling the Emergence of Chirality in SMILES Translation Models A Primer in BERTology: What we know about how BERT works

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:06:24.838482Z

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.

Observation fdf2e80e-25c5-4dda-b849-ddb236bbd54d · inbound

Graph-Native Reinforcement Learning Enables Traceable Scientific Hypothesis Generation through Conceptual Recombination cites this paper.

Graph-Native Reinforcement Learning Enables Traceable Scientific Hypothesis Generation through Conceptual Recombination A Primer in BERTology: What we know about how BERT works

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:26:55.915213Z

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.

Observation 6b77cb11-b8b3-42fa-a8a1-a7a449e2cb11 · inbound

Riemannian Geometry for Pre-trained Language Model Embeddings cites this paper.

Riemannian Geometry for Pre-trained Language Model Embeddings A Primer in BERTology: What we know about how BERT works

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-07-09T21:16:34.220963Z

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.