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Paper Citation Record · LEDGER

Endowing Protein Language Models with Structural Knowledge

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2401.14819.

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

pith.paper-citation-record.v1
2401.14819 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:36.301508+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:19:28.138942Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:06:44.005513Z

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 616dc49e-8da1-4252-baf0-1203157d88b6 · inbound

Computational Protein Science in the Era of Large Language Models (LLMs) cites this paper.

Computational Protein Science in the Era of Large Language Models (LLMs) Endowing Protein Language Models with Structural Knowledge

Reference 147

Resolution
unresolved
no resolver link, observed 2026-08-10T19:19:28.138942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:19:28.138942Z digest=sha256:d7f642dcf938f181b28d018ed8d45f9c57a891ddfc871cda36939eddab1d93ce

Observation 61207f5b-eb10-4055-b21f-1b21ddea99ca · inbound

Transformers in Protein: A Survey cites this paper.

Transformers in Protein: A Survey Endowing Protein Language Models with Structural Knowledge

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T14:03:05.485631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:03:05.485631Z digest=sha256:3b2801892e1ef6ea422a07cab2b6928c72659a4de7511b60c22146868e50d85b

Observation 5fd0d964-e881-4911-943c-11d75bfa0ab2 · inbound

BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction cites this paper.

BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction Endowing Protein Language Models with Structural Knowledge

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:16:19.172404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:36.301508+00:00.

source=pdf_text observed=2026-05-18T11:13:33.458480Z digest=sha256:3aebc1bf5dd607fe3c241cee44a51e75a103dd0aea5da2de68f1e2b894aa6ab6

Observation fdf7e383-dbd8-4917-9919-e25c29e2f7c9 · inbound

BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction cites this paper.

BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction Endowing Protein Language Models with Structural Knowledge

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:04:24.151247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:36.301508+00:00.

source=pdf_text observed=2026-05-21T22:02:20.544141Z digest=sha256:8b5581e7d884cefba591f82289c41601ed5b325e9b2c0021f608ec30e8168629

Observation 9e6f4280-3b1f-419e-b2f3-92052af85fc7 · inbound

PUFFIN: Protein Unit Discovery with Functional Supervision cites this paper.

PUFFIN: Protein Unit Discovery with Functional Supervision Endowing Protein Language Models with Structural Knowledge

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:08:25.599064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:36.301508+00:00.

source=pdf_text observed=2026-05-10T09:06:34.760883Z digest=sha256:4d331baeac5f2b068fb2df2130b7f2fd10e859b66746e243cdc66de8c7be1edf

Observation 78c3e474-90c4-46a0-b3b9-34bf79f34034 · inbound

EvoStruct: Bridging Evolutionary and Structural Priors for Antibody CDR Design via Protein Language Model Adaptation cites this paper.

EvoStruct: Bridging Evolutionary and Structural Priors for Antibody CDR Design via Protein Language Model Adaptation Endowing Protein Language Models with Structural Knowledge

Reference 186

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:09:38.645325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:36.301508+00:00.

source=arxiv_source observed=2026-05-21T05:06:06.626303Z digest=sha256:a186e3182c89432801a008c7952065352a37c4277b292fae51c6764655b56cf8

Observation fe8fcc18-c280-47f6-83f5-3233ca81739a · inbound

ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning cites this paper.

ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning Endowing Protein Language Models with Structural Knowledge

Reference 186

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:31:22.699812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:36.301508+00:00.

source=arxiv_source observed=2026-05-22T09:29:45.993792Z digest=sha256:a8b35dbc3519e5f543f13e3a1d33a6a612ae92d2edab22bce4f8e7d87d3b1cba

Observation 08b03070-531b-4964-93b5-91939948e3c5 · inbound

AgForce Enables Antigen-conditioned Generative Antibody Design cites this paper.

AgForce Enables Antigen-conditioned Generative Antibody Design Endowing Protein Language Models with Structural Knowledge

Reference 186

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:21:20.508554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:36.301508+00:00.

source=arxiv_source observed=2026-05-22T09:21:17.324165Z digest=sha256:c7948b75bf32b32ba32e1ef0eb53e9d6a3370161c92e94e4b49aa0a843571f7a

Observation d6aff63f-3abd-4713-8c57-3b55ef45aabc · inbound

EpiFormer: Learning Antigen-Antibody Interactions for Epitope Prediction via Geometric Deep Learning cites this paper.

EpiFormer: Learning Antigen-Antibody Interactions for Epitope Prediction via Geometric Deep Learning Endowing Protein Language Models with Structural Knowledge

Reference 162

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:06:44.007410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:36.301508+00:00.

source=arxiv_source observed=2026-06-28T07:12:15.396602Z digest=sha256:1ede1e6d945dd8a60813c6b29c72110b51edef5aec9ef5ef6ecfd1b6707ecbb0