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Paper Citation Record · LEDGER

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction

As of 4 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2606.03422.

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

pith.paper-citation-record.v1
2606.03422 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T08:07:41.844037Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f5f82a13-7e26-4807-8747-e295c6d5599b · outbound

This paper cites DeepDTA: Deep drug–target binding affinity prediction,.

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction DeepDTA: Deep drug–target binding affinity prediction,

Reference 1

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Unavailable: canonical work link unavailable.

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Observation fdab756b-456d-465c-891e-96f2d6dda45a · outbound

This paper cites DeepDTAF: a deep learning method to predict protein–ligand binding affinity,.

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction DeepDTAF: a deep learning method to predict protein–ligand binding affinity,

Reference 2

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source=pdf_text observed=2026-06-28T08:07:41.844037Z digest=sha256:7b2edabbf506279ef4bf1697640b7bb6c418c22e4273f10c2b2fb47da5eeec10

Observation 4119928c-2ee4-4db6-aa36-4f166a0e94a4 · outbound

This paper cites DeepBindAffinity: A ResNet-augmented hybrid CNN–Transformer for protein–ligand binding affinity prediction,.

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction DeepBindAffinity: A ResNet-augmented hybrid CNN–Transformer for protein–ligand binding affinity prediction,

Reference 3

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no resolver link, observed 2026-06-28T08:07:41.844037Z

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source=pdf_text observed=2026-06-28T08:07:41.844037Z digest=sha256:9bdf8dd6d77ee633214dd7d8723a99f652b3ca654e1da06ceb88aa3d30c50d73

Observation 2eeeb9ce-6851-412f-a977-b8b219fb9411 · outbound

This paper cites Evolutionary-scale prediction of atomic-level protein structure,.

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction Evolutionary-scale prediction of atomic-level protein structure,

Reference 4

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source=pdf_text observed=2026-06-28T08:07:41.844037Z digest=sha256:13e3b26463d8b555f3f2c97c1b3a4bd5c90989c2e4c2fe52a9fbb315a5b24563

Observation 53a93d1d-1c3c-4b77-beaa-7b6d21dd1f28 · outbound

This paper cites Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences,.

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences,

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T08:07:41.844037Z digest=sha256:9b625d3789cc28db6e7b9f5e2735a610d0fa5b53bb15956cb266cde729a20431

Observation 681564aa-1f88-4ff4-a3e3-4fcdc8d4ec5b · outbound

This paper cites Leak-proof PDBBind: A reorganized dataset of protein–ligand complexes for more generalizable binding affinity prediction,.

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction Leak-proof PDBBind: A reorganized dataset of protein–ligand complexes for more generalizable binding affinity prediction,

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-02T05:36:40.328213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T08:07:41.844037Z digest=sha256:28a65aec8738dfab58894604afba7c19f4dbafe35db85a4ef5879b04dc7e04d0

Observation c0f0fa57-0725-4d60-9a6e-4838ded20731 · outbound

This paper cites Development and evaluation of a deep learning model for protein– ligand binding affinity prediction,.

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction Development and evaluation of a deep learning model for protein– ligand binding affinity prediction,

Reference 7

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source=pdf_text observed=2026-06-28T08:07:41.844037Z digest=sha256:fa510433ff586364290a5c5480dbcacf6cffb401f097005dbfa64b5344336145

Observation b7007569-86f5-4f99-9f0e-5113e54d2549 · outbound

This paper cites DEAttentionDTA: protein–ligand binding affinity prediction based on dynamic embedding and self-attention,.

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction DEAttentionDTA: protein–ligand binding affinity prediction based on dynamic embedding and self-attention,

Reference 8

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source=pdf_text observed=2026-06-28T08:07:41.844037Z digest=sha256:20404b543ea3ae886e06eb9baa1b24f306571ea95ee2d238d4a633a2c8fb42f0

Observation 4da3757e-61b3-4a94-8c53-786dc0be00ea · outbound

This paper cites CAPLA: improved prediction of protein–ligand binding affinity by a deep learning approach based on a cross-attention mechanism,.

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction CAPLA: improved prediction of protein–ligand binding affinity by a deep learning approach based on a cross-attention mechanism,

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T08:07:41.844037Z digest=sha256:813656a0ed8696ccaff2753fdab86ed91d40f5c22c634059a34e58a71bef4c6c

Observation 80300040-f3c2-413f-902d-2990b9e1870d · outbound

This paper cites Uni-Mol: A universal 3d molecular representation learning framework,.

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction Uni-Mol: A universal 3d molecular representation learning framework,

Reference 10

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source=pdf_text observed=2026-06-28T08:07:41.844037Z digest=sha256:bb9404cd46556569f4e6c501396e280d071b1ae7b3db9cc17659bebc7ea82715

Observation 9b11b320-2456-4bad-9cc4-ec6cbb283b1e · outbound

This paper cites Large-scale chemical language representations capture molecular structure and properties,.

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction Large-scale chemical language representations capture molecular structure and properties,

Reference 11

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source=pdf_text observed=2026-06-28T08:07:41.844037Z digest=sha256:c0c478b9b33da4128c035c24a7b1341faa525139f104c0059f1049317844eae8

Observation 20c0a83c-380b-4e0d-9a30-e6a82f690dfe · outbound

This paper cites The PDBbind database: methodologies and updates,.

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction The PDBbind database: methodologies and updates,

Reference 12

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no resolver link, observed 2026-06-28T08:07:41.844037Z

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source=pdf_text observed=2026-06-28T08:07:41.844037Z digest=sha256:d5a2d9d5f4b41079ecf527221fa3205e3e9efa5dc045450c2341d14cdca60f2b

Observation 7922239b-d4dd-48c4-bef1-589276901ac5 · outbound

This paper cites Comparative assessment of scoring functions: the CASF-2016 update,.

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction Comparative assessment of scoring functions: the CASF-2016 update,

Reference 13

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source=pdf_text observed=2026-06-28T08:07:41.844037Z digest=sha256:65951baf40e9bbb8f261a2ee3ce2cfc610dda474d6b8eb4e5dfd6bb4edd2f5eb

Observation e22c9363-7940-442d-813c-a2b2d12dbd5e · outbound

This paper cites Attention is all you need,.

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction Attention is all you need,

Reference 14

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source=pdf_text observed=2026-06-28T08:07:41.844037Z digest=sha256:c32d4e484f8d3302eccb6b4eaaf852990784b6a452f3b20a621ceb5cbeaf7dd5

Observation 1c10ac09-2327-4522-8aea-9bca58359016 · outbound

This paper cites Decoupled weight decay regularization,.

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction Decoupled weight decay regularization,

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T08:07:41.844037Z digest=sha256:03109e509b26da6187536f0192775f22ed68ae53e41b777f7e56dae34c3bf154

Observation 037a2bf2-9ad8-4978-8612-b1863f9b220f · outbound

This paper cites SGDR: Stochastic gradient descent with warm restarts,.

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction SGDR: Stochastic gradient descent with warm restarts,

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T08:07:41.844037Z digest=sha256:e47ec0a0508e5701bc383d05e84b7616a5e36181f719d5aea681fb923bdc572c

Observation ff4442f8-cd88-418f-952b-2b9011ce43c1 · outbound

This paper cites Biopython: freely available Python tools for computational molecular biology and bioinformatics,.

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction Biopython: freely available Python tools for computational molecular biology and bioinformatics,

Reference 17

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source=pdf_text observed=2026-06-28T08:07:41.844037Z digest=sha256:372a890cafaaa1a3e6f55a928013de5b22fb2a302c610aadf853718ec069db10

Observation 8b806fc8-1b12-4f59-8c7a-79629b771f7a · outbound

This paper cites Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features,.

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features,

Reference 18

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Observation 0174723f-708f-49d0-b3bf-545bb046ac14 · outbound

This paper cites RDKit: Open-source cheminformatics,.

HonestAffinity: Leak-Aware Evaluation of Protein and Pocket Priors for Binding Affinity Prediction RDKit: Open-source cheminformatics,

Reference 19

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.