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Paper Citation Record · LEDGER

Endowing Protein Language Models with Structural Knowledge

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:03:05.485631Z

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 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=sha256:9ba292af82a76a3d4eb323d13b08e83fa79b2c6ff5ced84010f89bd3022ca3a3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T11:13:33.458480Z digest=sha256:fcbe4d53e477559f2b9ca27883c49bee9bb9289158141cf1aa506d7b516d8885

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T22:02:20.544141Z digest=sha256:7445b51695468b72deefbe47dc07dab2f6dd75ed6ee83aca6934e19be3fd4d4b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T09:06:34.760883Z digest=sha256:bc8c2e0f03aa131d69a639e1a5983c2323552ed04f71a2aba0508e98e9af8335

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-21T05:06:06.626303Z digest=sha256:73df036a782452d6c16e501a2d686db2a117698d3d6c5be5574f7ae95f25ad7e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-22T09:29:45.993792Z digest=sha256:5bb95820ed68093708e1ea742ab5c67f639f53e12ee2b961bc2f899ffa5baa8d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-22T09:21:17.324165Z digest=sha256:a853e2a0894d3d85deec41608218e9f6eea33c0118658b5ba4f5d2a347eea68d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T07:12:15.396602Z digest=sha256:6317df0b13e6955320ec53109b3f97a28b2edef55f515bfdda6bfd9e94a54a70