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Paper Citation Record · LEDGER

Protein Inverse Folding From Structure Feedback

As of 10 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 2 inbound Pith citation observations for arXiv:2506.03028.

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

pith.paper-citation-record.v1
2506.03028 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:17:59.186808Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T19:24:06.143427Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T19:33:54.336469Z

Reference resolution

52 of 52 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a237368f-c3dc-4f6f-98ad-1371a4b3affa · outbound

This paper cites GPT-4 Technical Report.

Protein Inverse Folding From Structure Feedback GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:55.177559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:55.177559Z digest=sha256:c1ba89374a991c15b4112ac2d801da2bb356c8f21b85844ee931279ce112a9dc

Observation b5091f3a-cce2-4b00-9776-119fb3b5c548 · outbound

This paper cites Computational protein design.Nature Reviews Methods Primers, 5(1):13, 2025.

Protein Inverse Folding From Structure Feedback Computational protein design.Nature Reviews Methods Primers, 5(1):13, 2025

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:55.227970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:55.227970Z digest=sha256:e5df3eea2b07440971e7482086f8999d1443b77d11d8398c8b46fc2fed37f6b8

Observation b8f4e25e-0561-40a7-969c-33916a000108 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Protein Inverse Folding From Structure Feedback Constitutional AI: Harmlessness from AI Feedback

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:55.305489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:55.305489Z digest=sha256:a6444d4785992d8d05066338accf11972d33ad8d7766d430f8a6ffbb3e69594e

Observation 401132e7-4fe5-4d7f-b8d0-c9895d478b94 · outbound

This paper cites Hallucination of Multimodal Large Language Models: A Survey.

Protein Inverse Folding From Structure Feedback Hallucination of Multimodal Large Language Models: A Survey

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:55.391438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:55.391438Z digest=sha256:36521decacc605bf7a269d6e278d7aeb4f0caa52746ee67a021a070eb47a26ee

Observation 8a5f7599-197b-4d57-b902-29472341de11 · outbound

This paper cites Scaling unlocks broader generation and deeper functional understanding of proteins.bioRxiv, pages 2025–04, 2025.

Protein Inverse Folding From Structure Feedback Scaling unlocks broader generation and deeper functional understanding of proteins.bioRxiv, pages 2025–04, 2025

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:03.104635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:55.468455Z digest=sha256:85babc71f256a190b9c82104f14e290911a71dca87046448a26bed8a81460ebe

Observation 89e1bddb-4594-4547-a8e0-7608769a9314 · outbound

This paper cites Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models.

Protein Inverse Folding From Structure Feedback Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:55.551917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:55.551917Z digest=sha256:5aa9e421f47450448ae9758f927db5b5f393ad229a6a1cdb08188b1c20386160

Observation 231fa083-20e0-45e4-96f0-ec7495f687a4 · outbound

This paper cites Deep reinforcement learning from human preferences.Advances in neural information processing systems, 30, 2017.

Protein Inverse Folding From Structure Feedback Deep reinforcement learning from human preferences.Advances in neural information processing systems, 30, 2017

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:55.617430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:55.617430Z digest=sha256:a0f2e013e5b77d96cef05203897e62b6d629ab1a8f9313f438a169d421397cbe

Observation cec4f920-d66e-402d-9aaa-e24096de368d · outbound

This paper cites Group equivariant convolutional networks.

Protein Inverse Folding From Structure Feedback Group equivariant convolutional networks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:55.706021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:55.706021Z digest=sha256:77045786b0267a373137eead7d3802ea0bc5e12c744508f01f322a84d29909b7

Observation 2c3ed035-ceb5-41ad-b3c6-71352d17dcf1 · outbound

This paper cites Robust deep learning–based protein sequence design using proteinmpnn.Science, 378(6615):49–56, 2022.

Protein Inverse Folding From Structure Feedback Robust deep learning–based protein sequence design using proteinmpnn.Science, 378(6615):49–56, 2022

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:55.772670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:55.772670Z digest=sha256:d60f9a121a897c2844cc12e113bd3be1ded47cb5fae7f75a6531943a957ff34f

Observation a2d6ecb5-271d-4879-8ee4-b10336a96717 · outbound

This paper cites Atomic context-conditioned protein sequence design using ligandmpnn.Nature Methods, pages 1–7, 2025.

Protein Inverse Folding From Structure Feedback Atomic context-conditioned protein sequence design using ligandmpnn.Nature Methods, pages 1–7, 2025

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:02.927149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:55.868591Z digest=sha256:2db6a1a43d6c6adb43eebefa10fb34733e375733eff47c835110c57c58b576f8

Observation 7afdcb78-bc02-4299-9dda-001fecf78235 · outbound

This paper cites Amino acid pairing at the n-and c- termini of helical segments in proteins.PROTEINS: Structure, Function, and Bioinformatics, 70(1):188–196, 2008.

Protein Inverse Folding From Structure Feedback Amino acid pairing at the n-and c- termini of helical segments in proteins.PROTEINS: Structure, Function, and Bioinformatics, 70(1):188–196, 2008

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:02.771711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:55.919011Z digest=sha256:872c0923d4728492a289522c3d857de2f65f3c884ad086cc771389081019a10d

Observation 2d7f297e-fc9e-4316-84a6-c857064c9f89 · outbound

This paper cites an unresolved cited work.

Protein Inverse Folding From Structure Feedback Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:18:02.597468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:55.984323Z digest=sha256:ffeb52c2dd50c09e770384a10ebf3e845c6013753b900cc97b32c4170be5a9e7

Observation b43ae5ae-8590-486f-bc80-b82e418cb340 · outbound

This paper cites AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB.

Protein Inverse Folding From Structure Feedback AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:56.078901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:56.078901Z digest=sha256:13c4363a753e67f32ea55cdce7e9d6e60952308373a950107b0958d2c60f2ac3

Observation 957fae3e-b30f-4dec-89cb-8b55eebdda22 · outbound

This paper cites Pifold: Toward effective and efficient protein inverse folding, 2022.

Protein Inverse Folding From Structure Feedback Pifold: Toward effective and efficient protein inverse folding, 2022

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:02.445551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:56.137800Z digest=sha256:9865e9131a3e68989083db5992f5cf97ea00423af0870d72070bc1d041bd0e1e

Observation 0238af73-7630-42a5-8a6a-976c2e15feca · outbound

This paper cites Simulating 500 million years of evolution with a language model.Science, page eads0018, 2025.

Protein Inverse Folding From Structure Feedback Simulating 500 million years of evolution with a language model.Science, page eads0018, 2025

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:02.262861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:56.237634Z digest=sha256:bcdb401cfe0dfea96c3f563cfaf0540568e1bf8026c967f4a9c23bed80aa0284

Observation 408e0b2c-8283-4fe4-aaf2-eec29c5dd3ac · outbound

This paper cites Learning inverse folding from millions of predicted structures.International Conference on Machine Learning, pages 8946–8970, 2022.

Protein Inverse Folding From Structure Feedback Learning inverse folding from millions of predicted structures.International Conference on Machine Learning, pages 8946–8970, 2022

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:02.117858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:56.319416Z digest=sha256:a3d7e041a37df55492df8fc838a955cbe0e0632093f80034b37677078f374419

Observation 80445534-fd49-4490-8624-ba191895f589 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Protein Inverse Folding From Structure Feedback LoRA: Low-Rank Adaptation of Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:56.379168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:56.379168Z digest=sha256:1ab5381e333387553a59f18722db8f5adaafeee24bfdb142153f0c8a3e974f66

Observation 86730007-f927-4b20-951e-fb88f25738f7 · outbound

This paper cites Generative models for graph-based protein design.Advances in neural information processing systems, 32, 2019.

Protein Inverse Folding From Structure Feedback Generative models for graph-based protein design.Advances in neural information processing systems, 32, 2019

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:01.944960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:56.449942Z digest=sha256:d962b2870062a92596d4832c7a35a19baa2af7e4bb29ff38b33185cfd03f6937

Observation a13f5f3e-4d45-480b-99a9-f3f809620dba · outbound

This paper cites Learning from Protein Structure with Geometric Vector Perceptrons.

Protein Inverse Folding From Structure Feedback Learning from Protein Structure with Geometric Vector Perceptrons

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:56.527823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:56.527823Z digest=sha256:77c72dc86d276af9e0c0b29c8f27f5d66769a0fb470a2ac691d73667eb2fc304

Observation e7d6ab96-e2bf-4c49-aab6-b30d446611fb · outbound

This paper cites Highly accurate protein structure prediction with alphafold.nature, 596(7873):583–589, 2021.

Protein Inverse Folding From Structure Feedback Highly accurate protein structure prediction with alphafold.nature, 596(7873):583–589, 2021

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:56.616909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:56.616909Z digest=sha256:c395a490aa5d20d92b704f441751ed42f4781fd14cada5b6e1a70cd23524f1c8

Observation 76f677cf-e6fe-466e-bd11-3df6e39a8b9b · outbound

This paper cites Sequence-similar, structure-dissimilar protein pairs in the pdb.Proteins: Structure, Function, and Bioinformatics, 71(2):891–902, 2008.

Protein Inverse Folding From Structure Feedback Sequence-similar, structure-dissimilar protein pairs in the pdb.Proteins: Structure, Function, and Bioinformatics, 71(2):891–902, 2008

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:01.779398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:56.701277Z digest=sha256:9e7f93bf3f81f4fea4c697ebf6bfec1db674c0bba7be6f8a41c703fbb7906950

Observation bf56e1c6-699b-44f0-a018-1337d2eeed83 · outbound

This paper cites Generalized biomolecular modeling and design with rosettafold all-atom.Science, 384(6693):eadl2528, 2024.

Protein Inverse Folding From Structure Feedback Generalized biomolecular modeling and design with rosettafold all-atom.Science, 384(6693):eadl2528, 2024

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:01.609739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:56.769979Z digest=sha256:7ae9324727df23eee6f1b8c4d6ec9e08f5841a35d9593060af6f3432be88eae7

Observation 5709edc7-c73e-4545-8937-cafd1620f817 · outbound

This paper cites RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback.

Protein Inverse Folding From Structure Feedback RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:56.880188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:56.880188Z digest=sha256:99cf1e3bea9c375dfa05b7ea9b7f13cc278762b6b4d4bfe6d7225de0f6ca0aad

Observation 5f17e060-351c-49ac-ae42-6e813d47bdd8 · outbound

This paper cites Evolutionary-scale prediction of atomic-level protein structure with a language model.Science, 379(6637):1123–1130, 2023.

Protein Inverse Folding From Structure Feedback Evolutionary-scale prediction of atomic-level protein structure with a language model.Science, 379(6637):1123–1130, 2023

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:56.948792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:56.948792Z digest=sha256:2a74e02f4b039f938ac214e16a4643f2f53b124b2fb61ec9b1470b0f26a47310

Observation 220c083e-9415-48fa-9256-1a15d60487b8 · outbound

This paper cites Decoupled Weight Decay Regularization.

Protein Inverse Folding From Structure Feedback Decoupled Weight Decay Regularization

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:57.031779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:57.031779Z digest=sha256:a604df9872eb49ab3a6f9b30808c62d55f997014037354952af4a38030b0efb0

Observation 372a1738-024d-4ffa-9184-691f8a377642 · outbound

This paper cites ProGen: Language Modeling for Protein Generation.

Protein Inverse Folding From Structure Feedback ProGen: Language Modeling for Protein Generation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:57.085748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:57.085748Z digest=sha256:e5743ca5339872c941b732ea71d0e8cdb336d62382473f88f596e5602f26acac

Observation dd6f3c4a-5664-4e10-ad90-3218ce638e9f · outbound

This paper cites Preference optimization of protein language models as a multi-objective binder design paradigm.

Protein Inverse Folding From Structure Feedback Preference optimization of protein language models as a multi-objective binder design paradigm

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:57.153314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:57.153314Z digest=sha256:971c8c2d33eb203d066760c4ffc45171c431672e6cc8262f9aac01ba3d543f20

Observation 0979a9d2-a550-4b2d-ac7e-bb14e5a4af73 · outbound

This paper cites Conditional language models enable the efficient design of proficient enzymes.bioRxiv, pages 2024–05, 2024.

Protein Inverse Folding From Structure Feedback Conditional language models enable the efficient design of proficient enzymes.bioRxiv, pages 2024–05, 2024

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:57.251501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:57.251501Z digest=sha256:2cd52ef3a80f57011db60c0cbca55073c61f3a6110ef549644a8c5fbd2480513

Observation 981b682a-c4bd-4556-90f9-3daf4f8d1653 · outbound

This paper cites Progen2: exploring the boundaries of protein language models.Cell systems, 14(11):968–978, 2023.

Protein Inverse Folding From Structure Feedback Progen2: exploring the boundaries of protein language models.Cell systems, 14(11):968–978, 2023

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:57.314563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:57.314563Z digest=sha256:c33316b2db565e3e29606c7654bef1716c587b0e16577e8e62c867021867a1b4

Observation 318b1cae-1ac2-40a1-874d-071cde73eb75 · outbound

This paper cites Machine learning for functional protein design.Nature biotechnology, 42(2):216–228, 2024.

Protein Inverse Folding From Structure Feedback Machine learning for functional protein design.Nature biotechnology, 42(2):216–228, 2024

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:57.406134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:57.406134Z digest=sha256:dde073ae3647f4b3d63bd278201d58f901cf9d0b51cc27906dbe947668c863e5

Observation 6e3cbfac-1a57-4a93-91ca-8c496c2f8392 · outbound

This paper cites Cath–a hierarchic classification of protein domain structures.Structure, 5(8):1093–1109, 1997.

Protein Inverse Folding From Structure Feedback Cath–a hierarchic classification of protein domain structures.Structure, 5(8):1093–1109, 1997

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:01.422053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:57.470382Z digest=sha256:077cff5b1d993944623d1b9412eabc7358bd5c7529c2ed82145841ce0438aa01

Observation 24a2ba13-9c81-49db-a9fe-4bfb5b1cf783 · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022.

Protein Inverse Folding From Structure Feedback Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:57.572516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:57.572516Z digest=sha256:65be8ec4c1fce8c891085bcbad79a4be1adecaccab751b2579a22f443481f776

Observation d014124a-1023-4ef2-ba8f-bc7a3f58ee55 · outbound

This paper cites Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive.

Protein Inverse Folding From Structure Feedback Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:57.665206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:57.665206Z digest=sha256:81ffe886df16bf16ad415242c285a782d976d3d0eb04b7f82aef55b5c33df24d

Observation e53b7219-15a8-481a-85ba-3a1092245ebf · outbound

This paper cites Improving Inverse Folding for Peptide Design with Diversity-regularized Direct Preference Optimization.

Protein Inverse Folding From Structure Feedback Improving Inverse Folding for Peptide Design with Diversity-regularized Direct Preference Optimization

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:57.758486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:57.758486Z digest=sha256:00f5cf5c54a4bf043aaebb443d24077fcd633766666ca8f752628ed93b9df350

Observation 727f96a7-5fbc-4298-afcf-5125164a1ec7 · outbound

This paper cites Instructplm: Aligning protein language models to follow protein structure instructions.bioRxiv, 2024.

Protein Inverse Folding From Structure Feedback Instructplm: Aligning protein language models to follow protein structure instructions.bioRxiv, 2024

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:01.268020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:57.846752Z digest=sha256:8189b63896c963f12a68c4ff2369a7b6f1ad93881c7f1ee1a3fe08d20f803482

Observation 4a81e4aa-b8f3-456e-b2e5-91e97b36c30d · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Protein Inverse Folding From Structure Feedback Direct preference optimization: Your language model is secretly a reward model

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:57.918877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:57.918877Z digest=sha256:9368e4b050d01b29fe67075cd4d191712b3ba575d8b32401180e39239c6ded93

Observation 83497bc6-65f3-4750-a445-d787c1221e15 · outbound

This paper cites The use of alphafold for in silico exploration of drug targets in the parasite trypanosoma cruzi.Frontiers in Cellular and Infection Microbiology, 12:944748, 2022.

Protein Inverse Folding From Structure Feedback The use of alphafold for in silico exploration of drug targets in the parasite trypanosoma cruzi.Frontiers in Cellular and Infection Microbiology, 12:944748, 2022

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:01.125841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:57.977520Z digest=sha256:455cc228a61f45aad1a3836462f3c278d83e8105b9058ce85f03ca2959d8a62b

Observation 10abc6ac-3e88-423e-b5f9-3f1ab15822fe · outbound

This paper cites Ruffolo, Aadyot Bhatnagar, Joel Beazer, Stephen Nayfach, Jordan Russ, Emily Hill, Riffat Hussain, Joseph Gallagher, and Ali Madani.

Protein Inverse Folding From Structure Feedback Ruffolo, Aadyot Bhatnagar, Joel Beazer, Stephen Nayfach, Jordan Russ, Emily Hill, Riffat Hussain, Joseph Gallagher, and Ali Madani

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:00.923264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:58.061179Z digest=sha256:beac4675b49920020d9799e7ea051373c8127748685449fe3613609752e5727a

Observation 72e98d4d-82d0-483e-bc63-c3d9323baa92 · outbound

This paper cites How good are alphafold models for docking-based virtual screening?Iscience, 26(1), 2023.

Protein Inverse Folding From Structure Feedback How good are alphafold models for docking-based virtual screening?Iscience, 26(1), 2023

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:00.752733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:58.130720Z digest=sha256:0d052edc20e15f387938d784f60ef40de7b617d038d81b0651975d8326795620

Observation fface664-9ae0-4bf7-ac3b-af2f80cef8b7 · outbound

This paper cites Protein structure determination from pseudocontact shifts using rosetta.Journal of molecular biology, 416(5):668–677, 2012.

Protein Inverse Folding From Structure Feedback Protein structure determination from pseudocontact shifts using rosetta.Journal of molecular biology, 416(5):668–677, 2012

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:00.529053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:58.199793Z digest=sha256:09a7412f531975d90fce0fdda2d153f2b1137ecfad682fc629a9be313175c64e

Observation 1e2addcd-c5e6-4190-9b40-ee2ffa611273 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Protein Inverse Folding From Structure Feedback Proximal Policy Optimization Algorithms

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:58.268358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:58.268358Z digest=sha256:1eaa4d867fc113d1667616459300f252bcc7e5de653067086f2caa2a7b425d7a

Observation 706359ab-2b7f-4a99-b1d1-503e42f9955c · outbound

This paper cites Surfing the biocatalysis wave to new applications changed to: From nature to industry: Harnessing enzymes for biocatalysis, as per request of editor.Science, 382(6673), 2023.

Protein Inverse Folding From Structure Feedback Surfing the biocatalysis wave to new applications changed to: From nature to industry: Harnessing enzymes for biocatalysis, as per request of editor.Science, 382(6673), 2023

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:00.371438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:58.357066Z digest=sha256:9847f96cc070c58d2fac60c19417cc7735bb8a6c4ec659aed3fec22ef388557b

Observation fb46b3b0-b517-4f76-aa01-04c2c04a32f0 · outbound

This paper cites Guiding generative protein language models with reinforcement learning.arXiv preprint arXiv:2412.12979, 2024.

Protein Inverse Folding From Structure Feedback Guiding generative protein language models with reinforcement learning.arXiv preprint arXiv:2412.12979, 2024

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:58.438688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:58.438688Z digest=sha256:9e081c08903ad65efe91fe150b05eae5e36796bddbc57f155b29f8656821a53f

Observation 097d2cb9-b09c-4bed-9c20-842eda91f8b1 · outbound

This paper cites Global-context aware generative protein design.ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 1–5, 2023.

Protein Inverse Folding From Structure Feedback Global-context aware generative protein design.ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 1–5, 2023

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:00.220585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:58.532713Z digest=sha256:7ca4ebc2a2c83517143c647d80dc245bafb3813e8a6fafbb475b8f63cd4b59c1

Observation c8241400-b02e-4de3-83c4-9c5de6ce216c · outbound

This paper cites Evolution of function in protein superfamilies, from a structural perspective.Journal of molecular biology, 307(4):1113–1143, 2001.

Protein Inverse Folding From Structure Feedback Evolution of function in protein superfamilies, from a structural perspective.Journal of molecular biology, 307(4):1113–1143, 2001

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:00.037901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:58.628282Z digest=sha256:4afcb630ee46d70a447127df84e5ca43597053ae349727ef5d4d63eb1e1dbd7b

Observation 20f35fbd-d03d-4464-bb29-bf57eac41545 · outbound

This paper cites Aligning protein generative models with experimental fitness via direct preference optimization.bioRxiv, pages 2024–05, 2024.

Protein Inverse Folding From Structure Feedback Aligning protein generative models with experimental fitness via direct preference optimization.bioRxiv, pages 2024–05, 2024

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:58.708089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:58.708089Z digest=sha256:e95bef4c02c1d3b8274ae89f8dd19f5636b2fcb1dc85ddee97a271d02f8b4194

Observation 47629f9c-23b0-4da8-ae10-076002590dd1 · outbound

This paper cites Self-Play Preference Optimization for Language Model Alignment.

Protein Inverse Folding From Structure Feedback Self-Play Preference Optimization for Language Model Alignment

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:58.784540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:58.784540Z digest=sha256:290eec75f295f23fc52701deac5b445293eeabdd97efbc13e2653be13bb7b8e8

Observation acf8c93b-86b8-4615-9f4c-f733af0f1828 · outbound

This paper cites Hallucidoctor: Mitigating hallucinatory toxicity in visual instruction data.

Protein Inverse Folding From Structure Feedback Hallucidoctor: Mitigating hallucinatory toxicity in visual instruction data

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:59.875742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:58.894504Z digest=sha256:894f40c1265e2a2244b9cc6bc639e2d030d0ace446d71397a02bb63fcb919173

Observation 428f151d-ec4f-4261-a4ab-4c5b9d4a00e1 · outbound

This paper cites Self-Rewarding Language Models.

Protein Inverse Folding From Structure Feedback Self-Rewarding Language Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:58.950700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:58.950700Z digest=sha256:fa98b0f79de094b4b43497a67d7b37ba146fcc8e66c16a9c6382b4fd4076e06e

Observation 3041aeaf-b5cd-407e-9074-4c096b6486fc · outbound

This paper cites Evaluating Large Language Models at Evaluating Instruction Following.

Protein Inverse Folding From Structure Feedback Evaluating Large Language Models at Evaluating Instruction Following

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:59.048163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:59.048163Z digest=sha256:1034013d7e48ff606c26831421209640fb21cf6dfcbc4449b9b1251c1943857d

Observation 122e65c8-fce2-4831-bcad-6c2e785256ee · outbound

This paper cites Tm-align: a protein structure alignment algorithm based on the tm-score.Nucleic acids research, 33(7):2302–2309, 2005.

Protein Inverse Folding From Structure Feedback Tm-align: a protein structure alignment algorithm based on the tm-score.Nucleic acids research, 33(7):2302–2309, 2005

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:59.120417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:59.120417Z digest=sha256:fee8be27e8556d71a926dce55efe8f2424ab087b367eaa31e4a187fff2ee9122

Observation 728a2f47-0012-4628-a268-56f3f1a211f5 · outbound

This paper cites Structure- informed language models are protein designers.bioRxiv, pages 2023–02, 2023.

Protein Inverse Folding From Structure Feedback Structure- informed language models are protein designers.bioRxiv, pages 2023–02, 2023

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:59.703009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:17:59.186808Z digest=sha256:9f3a8c7b5a3de86d8027f4e5d35781727f6c8246fad661daa6dfd892415d5c03

Pith citing papers

Observation b4f8d23a-44ce-4c20-8366-9f3d3100040c · inbound

GeoCycler: Reward-Aligned 3D Diffusion for Constraint-Conditioned Cyclic Peptide Design cites this paper.

GeoCycler: Reward-Aligned 3D Diffusion for Constraint-Conditioned Cyclic Peptide Design Protein Inverse Folding From Structure Feedback

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-25T02:46:33.506301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-25T02:46:03.894997Z digest=sha256:0809f83e7fa94fc96a162cf990bf70eadc654f6cd5c0c8b92f25c5a29531a582

Observation dd8e39b2-0ab6-4627-9b02-f0e62241ec9d · inbound

SurfDesign: Effective Protein Design on Molecular Surfaces cites this paper.

SurfDesign: Effective Protein Design on Molecular Surfaces Protein Inverse Folding From Structure Feedback

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:33:54.337926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T19:24:06.143427Z digest=sha256:8111782bd5fd247a8a17c085d101d63955aa584aeb715735374d0e181c22b158