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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 2026-08-11T06:34:44.6726+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=sha256:3ccfaf9fbe0d627b7a9df1d968fd2d06705683674817290f2672c640a8107888

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T11:13:33.458480Z digest=sha256:37646175a018740e1b266a0e13ceec46b31b995076d783386972479f2cf81c06

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T22:02:20.544141Z digest=sha256:b04d741c50e99b0b5aeea0668cace38d62a19af05cb58d3132dc4742e01fb787

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T09:06:34.760883Z digest=sha256:629932fc8fb331e72941c05e9724ec28134f58a4a29018ac141e201f1c5ba34f

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-21T05:06:06.626303Z digest=sha256:36583fc40c1a02ba9fc5130b3ccf9e2f10b05a718eaad9135f1bbbf24878dcb3

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-22T09:29:45.993792Z digest=sha256:0091da2b363a8d09dd1759feb6b87cd26bc3abe8d62906555b2abe52e3f4e164

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-22T09:21:17.324165Z digest=sha256:8428d1230235319a452744513ad38cf4ced417168551e8f0324cbe89d00f859f

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T07:12:15.396602Z digest=sha256:1f3162d4b97a24bdcf327ed681d9a3295594fcecf52ff5935a82db840aed2c75