Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T16:01:20.765403Z
Paper Citation Record · LEDGER
AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning
As of 6 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2604.11272.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-08T22:50:34.762837Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T22:55:40.223489Z
Reference resolution
14 of 14 outbound references displayed
- verified exact5
- verified fuzzy9
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 94b296b1-eecc-41ff-852b-7189252030f3 · outbound
This paper cites Massively parallel singlecell b-cell receptor sequencing enables rapid discovery of diverse antigen- reactive antibodies.
AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning Massively parallel singlecell b-cell receptor sequencing enables rapid discovery of diverse antigen- reactive antibodies
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:20:01.141840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7f07dda5-5e1a-42cf-b567-e0fd4d78f3fe · outbound
This paper cites Huang, Y ., Zhang, Z., and Zhou, Y.
AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning Huang, Y ., Zhang, Z., and Zhou, Y
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T16:05:34.094634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2460c84d-49f5-4c58-9a05-5aaf24800d83 · outbound
This paper cites Semi-Supervised Classification with Graph Convolutional Networks.
AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning Semi-Supervised Classification with Graph Convolutional Networks
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T09:26:01.863419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4c9c39e7-b5d0-4897-b977-f0813c825084 · outbound
This paper cites AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking.
AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:26:01.846951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 007eb5df-1c4c-4ed8-b52e-21cf93482dee · outbound
This paper cites Deciphering antibody affinity maturation with language models and weakly supervised learning.
AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning Deciphering antibody affinity maturation with language models and weakly supervised learning
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:26:01.854843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8454fe20-ea8d-4417-8a80-4bbe60f58d11 · outbound
This paper cites M., Steiger, A.
AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning M., Steiger, A
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:20:01.145108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c6900457-a572-45ef-bb16-b16f9e54b254 · outbound
This paper cites J., Li, X., et al.
AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning J., Li, X., et al
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:20:01.147915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a20b5ae3-445c-417a-90a6-6cb8212f805d · outbound
This paper cites Contrastive Learning with Negative Sampling Correction.
AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning Contrastive Learning with Negative Sampling Correction
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:26:01.841346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3b86839f-a1d2-4690-87bc-291c335d60f9 · outbound
This paper cites A generative foundation model for antibody design.BioRxiv, pp.
AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning A generative foundation model for antibody design.BioRxiv, pp
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:20:01.151114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 87fbe65f-94a5-47c5-a100-0da9faf86989 · outbound
This paper cites Boltz-1 democratizing biomolecular interaction modeling.BioRxiv, pp.
AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning Boltz-1 democratizing biomolecular interaction modeling.BioRxiv, pp
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:20:01.138063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ab50707d-5575-45f8-b1d1-8178b0996c7a · outbound
This paper cites Details for Data Collection and Analysis A.1.
AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning Details for Data Collection and Analysis A.1
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:20:01.127196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9ca63f52-a4a8-4b2b-861e-8f8d12b3cf49 · outbound
This paper cites GNN Encoders The graph encoders are implemented using the PyTorch Geometric library.
AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning GNN Encoders The graph encoders are implemented using the PyTorch Geometric library
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:20:01.130351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e46922d2-764e-4590-a5d9-2ef16996b3b1 · outbound
This paper cites Details for Ranking Module The Ranking Module first projects the input matrix ET ∈R K×2dout to a hidden dimension dr, yielding the initial features Z(0) ∈R K×d r.
AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning Details for Ranking Module The Ranking Module first projects the input matrix ET ∈R K×2dout to a hidden dimension dr, yielding the initial features Z(0) ∈R K×d r
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:20:01.133374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 13618bcf-6829-4e2d-b040-14b1899a447f · outbound
This paper cites While AbRank (Figure 9 (b)) captures the general ranking trend, this global alignment masks a critical deficiency in practical screening scenarios.
AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning While AbRank (Figure 9 (b)) captures the general ranking trend, this global alignment masks a critical deficiency in practical screening scenarios
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T17:20:01.155982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
Observation 4409c94f-db99-464e-b979-c4a5fa0c6c43 · inbound
AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking cites this paper.
AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T22:55:40.225344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.