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Paper Citation Record · LEDGER

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking

As of 19 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 2 inbound Pith citation observations for arXiv:2506.17857.

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

pith.paper-citation-record.v1
2506.17857 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:03:14.820657Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-08T22:50:34.762837Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T22:55:40.219487Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact3
  • verified fuzzy7
  • unresolved6
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 777a632d-e5f7-4864-b27c-ded8c00c5897 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking Semi-Supervised Classification with Graph Convolutional Networks

Reference 6

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unresolved
no resolver link, observed 2026-08-15T19:03:14.752207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:03:14.752207Z digest=sha256:88e88e72f6757248e14ef5b7baa48dc7eabc32d1165f844806ab9db1df9a8d63

Observation e67cdedf-0b0d-47cd-aaf6-ff9d45a53806 · outbound

This paper cites Deciphering antibody affinity maturation with language models and weakly supervised learning.

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking Deciphering antibody affinity maturation with language models and weakly supervised learning

Reference 10

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unresolved
no resolver link, observed 2026-08-15T19:03:14.776441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:03:14.776441Z digest=sha256:a585d38f0dd76039f0bfdab5849abcd10cabc0b85f6073b557fb9fb85fda17e0

Observation f8d16c27-ee5c-4b9c-a4a4-daeb94664ffb · outbound

This paper cites M., Steiger, A.

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking M., Steiger, A

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-15T19:03:15.178765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T19:03:14.781802Z digest=sha256:c7810a99a79deb230540e693a7863a94da0b072212898b2654678baa9fe508f1

Observation 4dd7374c-0df5-4d0c-981c-11a6c27d6298 · outbound

This paper cites Learning the language of protein-protein interactions.bioRxiv, pp.

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking Learning the language of protein-protein interactions.bioRxiv, pp

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-15T19:03:15.158013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T19:03:14.788416Z digest=sha256:800f73a831c810e8e24abd2ea73cd7202f9321e4627c2dcb107c2a767ad02c38

Observation 3be3dd94-0cb0-4769-82ac-15d51d2cceee · outbound

This paper cites Boltz-1: Democratizing biomolecular interaction modeling.bioRxiv, pp.

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking Boltz-1: Democratizing biomolecular interaction modeling.bioRxiv, pp

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-15T19:03:15.140838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T19:03:14.799502Z digest=sha256:3fbdc2791a11b8854ca7e6d7a012966b99b0bfe9b4bec417314a06471c9c84f6

Observation 624a7a3d-5852-46ec-aff9-46b47d343506 · outbound

This paper cites Despite its scale, it exhibits substantial class imbalance, both across and within datasets (see Figure S1).

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking Despite its scale, it exhibits substantial class imbalance, both across and within datasets (see Figure S1)

Reference 16

Resolution
verified exact
raw_fallback, observed 2026-08-15T19:03:14.955681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T19:03:14.812599Z digest=sha256:4c3b576b78ed1d743aae2fff9ac65098acbcd9c3772ce4eae9a8e702b6e0833b

Observation 1c3d7dc0-9b16-4247-8e3c-53dc2e2a2af1 · outbound

This paper cites Bacpi: a bi-directional attention neural network for compound– protein interaction and binding affinity prediction.Bioinformatics, 38(7):1995–2002,.

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking Bacpi: a bi-directional attention neural network for compound– protein interaction and binding affinity prediction.Bioinformatics, 38(7):1995–2002,

Reference 1966

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:03:15.198238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T19:03:14.757789Z digest=sha256:243e92a39c668183a3c1256a7b8163af61d09a7c3428bda0206901643226bfe0

Observation e987dd76-a754-4116-935b-f632387c5bf2 · outbound

This paper cites This expression shows that as escape fraction increases, the estimated destabilization (∆∆G) grows non-linearly.

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking This expression shows that as escape fraction increases, the estimated destabilization (∆∆G) grows non-linearly

Reference 2008

Resolution
malformed identifier
raw_fallback, observed 2026-08-15T19:03:15.123802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T19:03:14.820657Z digest=sha256:e14f29c8da26a2f6f822f0924eb3e252a89f33f7c0e5bc6e7ca43367ee2bfc7a

Observation d6a272d1-9ed0-4977-b141-57a411f0f181 · outbound

This paper cites Deep geometric framework to predict antibody-antigen binding affinity.bioRxiv, pp.

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking Deep geometric framework to predict antibody-antigen binding affinity.bioRxiv, pp

Reference 2012

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:03:15.250233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5bbc7c56-6631-40c9-809b-e3248fcbb556 · outbound

This paper cites Pairwise Ranking Loss for Multi-Task Learning in Recommender Systems.

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking Pairwise Ranking Loss for Multi-Task Learning in Recommender Systems

Reference 2014

Resolution
verified exact
local_arxiv, observed 2026-08-15T19:03:15.105818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T19:03:14.735320Z digest=sha256:8da123ac1c737fbfce2357e172f438d1823801e711e05ff9d3119e328c2a359e

Observation 8939ce49-1cb2-4887-b09a-fd7ccb7b239f · outbound

This paper cites Likelihood-based fine-tuning of protein language models for few-shot fitness prediction and design.bioRxiv, pp.

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking Likelihood-based fine-tuning of protein language models for few-shot fitness prediction and design.bioRxiv, pp

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:03:15.217633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 65b58c3b-3ad3-4a7a-8d3e-30312bcaad8f · outbound

This paper cites abcan: a practical and novel attention network for predicting mutant antibody affinity.bioRxiv, pp.

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking abcan: a practical and novel attention network for predicting mutant antibody affinity.bioRxiv, pp

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:03:15.233402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T19:03:14.741429Z digest=sha256:4ae9dc385d32f3dad8d4ac8bea16aefc41f7324040b6367bc310322d48f2e753

Observation 6efcfbb3-d54f-4fed-8445-a1480606083d · outbound

This paper cites Improving Deep Regression with Ordinal Entropy.

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking Improving Deep Regression with Ordinal Entropy

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-15T19:03:14.805667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:03:14.805667Z digest=sha256:f82cca5eb0141581f6caaaaad242814bac84a20e1d3491bf721a06b8aa737576

Observation 38e54d98-697f-42d9-921a-c87efd00b773 · outbound

This paper cites AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction.

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction

Reference 2022

Resolution
verified exact
local_arxiv, observed 2026-08-15T19:03:15.063400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T19:03:14.763595Z digest=sha256:fc2ed11ce8e9a7c86b80053c2c1321c0da00e869966759c5e4dbfb418b2b751f

Observation 0ee61098-e2fe-42dd-9095-34befa99e4ef · outbound

This paper cites Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting.

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-15T19:03:14.770902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:03:14.770902Z digest=sha256:c578ca3f7cff7b8e5c3e766d0007ae42b8f3c2e7cfa36f195d1dfcc236be1606

Observation 4f62cd2f-2318-4844-a042-04439f4a5d60 · outbound

This paper cites 10.615955.

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking 10.615955

Reference 2024

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unresolved
no resolver link, observed 2026-08-15T19:03:14.729979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:03:14.729979Z digest=sha256:7f0e160c8ae7bc22d244ce3b66f7f2a25e2e1969c8d304e48b00d6feacbb9df2

Observation fcb44c1b-ef2a-4a8c-8183-64fdd6d101c9 · outbound

This paper cites Graph Attention Networks.

AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking Graph Attention Networks

Reference 2025

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unresolved
no resolver link, observed 2026-08-15T19:03:14.793353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:03:14.793353Z digest=sha256:75f6146b9da9e939fb7e68ab0ec90e327a23ca481f98041df7989e0d54365c52

Pith citing papers

Observation 4c9c39e7-b5d0-4897-b977-f0813c825084 · inbound

AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning cites this paper.

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T16:01:20.765403Z digest=sha256:156b5a49ed8d544cf853d9a3a6c3c486ea6abb2ad3d9ffc973b2c69291b2a7f9

Observation 6dbb24b5-8a15-40c2-95f5-053d1c1df33b · inbound

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking cites this paper.

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T22:55:40.222156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-08T22:50:34.762837Z digest=sha256:b6f331c13733ee545be2a64456ba96f7d74c7f4fb29962a983bc99feff147a0b