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Paper Citation Record · LEDGER

BERTology Meets Biology: Interpreting Attention in Protein Language Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2006.15222.

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

pith.paper-citation-record.v1
2006.15222 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:57:41.013343Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

28
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 04eb73f2-e466-4808-8a63-8d471cd578fe · inbound

Rethinking Attention with Performers cites this paper.

Rethinking Attention with Performers BERTology Meets Biology: Interpreting Attention in Protein Language Models

Reference 157

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:16:14.519510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-12T09:16:14.336570Z digest=sha256:1328522f79c4ee09ab1319070e10afcc5a3ca342d32ac97729310f1af359bf51

Observation 9f9aee10-4a8a-4eb8-b176-ad2117c9059a · inbound

Recent Advances in Generative AI for Healthcare Applications cites this paper.

Recent Advances in Generative AI for Healthcare Applications BERTology Meets Biology: Interpreting Attention in Protein Language Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:29:00.462060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-24T06:26:31.708511Z digest=sha256:e09e592b7d1195e7e458173e1edcf8bb54fda93d6cf6e373e0486949aa1286f8

Observation 85d7566b-4d83-4bbf-9976-83707e44f944 · inbound

Linguistic Laws Meet Protein Sequences: A Comparative Analysis of Subword Tokenization Methods cites this paper.

Linguistic Laws Meet Protein Sequences: A Comparative Analysis of Subword Tokenization Methods BERTology Meets Biology: Interpreting Attention in Protein Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T11:57:41.013343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:57:41.013343Z digest=sha256:ae086f9a4693180c3a4fc607292f430c8230da736b41e0d9e789fd557964fab7

Observation 54d54b4e-7dba-4d78-b886-c28d9885ae22 · inbound

A Survey of Deep Learning Methods in Protein Bioinformatics and its Impact on Protein Design cites this paper.

A Survey of Deep Learning Methods in Protein Bioinformatics and its Impact on Protein Design BERTology Meets Biology: Interpreting Attention in Protein Language Models

Reference 115

Resolution
unresolved
no resolver link, observed 2026-08-10T22:38:43.275007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:38:43.275007Z digest=sha256:8c2d687b1cfaf38f10ad11bc0c237203f1016e281f55ccd52e4402d0b7d41bdb

Observation 642a30c2-00b0-41fa-9fce-f5b6c9885a21 · inbound

Interpreting and Steering Protein Language Models through Sparse Autoencoders cites this paper.

Interpreting and Steering Protein Language Models through Sparse Autoencoders BERTology Meets Biology: Interpreting Attention in Protein Language Models

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-07T22:36:43.483055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:36:43.483055Z digest=sha256:9ca492affefe506cb42386ae05792feae3e441f832fe2a92a4dbbc5175aa0b4a

Observation 4e927c67-1829-4455-9fc0-2c20b053f620 · inbound

Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization cites this paper.

Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization BERTology Meets Biology: Interpreting Attention in Protein Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T17:26:45.473419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:26:45.473419Z digest=sha256:a59dce89a2b50157d7019864efacadb7e0dd89f4d1895c1ad0b5d314aed8dcb6

Observation 40f59fe9-8ee2-4b18-a167-c6a166372103 · inbound

Directed Evolution of Proteins via Bayesian Optimization in Embedding Space cites this paper.

Directed Evolution of Proteins via Bayesian Optimization in Embedding Space BERTology Meets Biology: Interpreting Attention in Protein Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T05:45:30.038663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:45:30.038663Z digest=sha256:776f6abb6d018662a1a9b7b190e1c55d3151b079878bd37a48317fced8f5fb3b

Observation 1f8c7576-16c7-4db0-bdfb-317512105120 · inbound

Retrieval and competition: how a protein foundation model starts a protein cites this paper.

Retrieval and competition: how a protein foundation model starts a protein BERTology Meets Biology: Interpreting Attention in Protein Language Models

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T00:13:53.256660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-21T00:09:22.402365Z digest=sha256:e09eff5f992b1659ca810544588b3f92828ede805f9aa9f24b4ecfeb8c39bcd5

Observation eb3de4c0-5276-4723-a1ef-7979c23a6a20 · inbound

Retrieval and competition: how a protein foundation model starts a protein cites this paper.

Retrieval and competition: how a protein foundation model starts a protein BERTology Meets Biology: Interpreting Attention in Protein Language Models

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T00:25:10.454039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T23:58:11.169748Z digest=sha256:44fc02c1fa3358e14d7245cce6e74bd7eccc7dde7bb0e70aac8272a632421680

Observation 8ba3225c-1616-4875-baf9-0b3dfa1209cb · inbound

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs cites this paper.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs BERTology Meets Biology: Interpreting Attention in Protein Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-01T05:12:53.254465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:12:53.254465Z digest=sha256:a24ce1faa314a28e73397bab6d0a632bb062158bf8e4c7474cee270e45d74efc