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Paper Citation Record · LEDGER

Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.20668.

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

pith.paper-citation-record.v1
2405.20668 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:38:27.105593Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:06:44.040251Z

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 a24a6d85-1303-487c-b9d3-b0b294aeebf4 · 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 Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation

Reference 172

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:09:38.576474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-21T05:06:06.626303Z digest=sha256:fb2dc1c8fde30d60c7b82f3cf06fea70e68b207d6c0633c0f0859a0e447b2a64

Observation ee1bcf15-c158-42f0-8be2-9306a3596fd0 · inbound

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

ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation

Reference 172

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:31:22.686148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-22T09:29:45.993792Z digest=sha256:7567528c5d69f1afbb7da54d99a0ad7febdc2bbb0626aa92bd5fc7e600566ae5

Observation 3aa7dcb7-a008-4925-9f12-dbc8de3f2a11 · inbound

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

AgForce Enables Antigen-conditioned Generative Antibody Design Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation

Reference 172

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:21:20.573518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-22T09:21:17.324165Z digest=sha256:5477cc728f27f13a4a930ba4257f6f1e57c3225e0958997dff6abdbf81f56341

Observation c7d659e4-dc86-4b65-a4af-2b377e5c6be7 · 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 Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation

Reference 147

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:06:44.041780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T07:12:15.396602Z digest=sha256:d6de0a8ad187496ed209beb1b4c09d35084bf69b423009ece6ce8ce4e21224b3

Observation 752c139f-c14c-42cf-aa98-40e60baf488e · inbound

S1-Omni: A Unified Multimodal Reasoning Model for Scientific Understanding, Prediction, and Generation cites this paper.

S1-Omni: A Unified Multimodal Reasoning Model for Scientific Understanding, Prediction, and Generation Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T22:38:27.105593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:38:27.105593Z digest=sha256:9de31a19abde119235581d24131fd78d6c454363c17339bf39d24a4029f0da3a