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Paper Citation Record · LEDGER

Protein Inverse Folding From Structure Feedback

As of 9 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=sha256:956d593b3dd97f16113fbb7bd5bb8818532150c1b4d4d480e07e73f3120e95d1

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=sha256:3ed406d2c0b09509c9584bca6d35951d3d7a7cae8c54afb2ec4eb269ffcdf70b

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=sha256:33b3cf192a0dff7c61715fb58aa17a9dfa82da52d3607769b0641c60c25f5042

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:c6d0b1347aabea9d563f290bc41e2cf35abff2647c053256b70d7ad5e109de57

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=sha256:000667c527fcbcbbc6d4d8f712bd5d9c66b32860426677ff5683543bbea067f8

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:b24b5faba496f651f97ada82dbc170c871f6737857290a282d17d166c463a671

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=sha256:2486a1b33665f2e3833f1543c66123faf7246b066deeb50201d2fa7dc1cf2f48

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=sha256:6282ccfeaf578f7ce48db36b87c8cff521ed947504b15118040434ed6e00d7dd

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:fd5a7b562b51f7349bc0bdb39a1825a2064b7cf003c539855f6b8087f8e2b93f

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:f6285fef16d4497d9263cc6b737db25a5771a4ead0ca608bf6f36580e2e410cd

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:f7cd6b8a18a8078f51958de50b0961483ac47f606c7b19a7805e7939889e26f9

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=sha256:13913edb2c48769476740c4ee7f58ce47be0e023e5576d6e42d0dfd9d7dd9c0b

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=sha256:151a6bd175420ef224a751fe48510b759ff5a3e328b8bbac39b20fbea01043e6

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:b6449cf60e2b96f453864dbb9d4a40290f702248c9a6afffd84f75884b49e9f6

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=sha256:14d81259082e3b0fa9554ad37ab6649a1343d05795d768de3e9642ad6635a2df

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:ea01e314fa93432508481fa79985bb164a1bb94cb772ed98548822f1cceba17d

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=sha256:9e279582addab43a27691463e1a0246843e4590ba6206efc766bc349f73e5394

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:cfc79b84ab37375c4f685573c2a991c5a6c54c0c512cdc419c07e415748545a4

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=sha256:56e414402b55e32f739a203a5502a07f2ce32f6a86b13e5f2a6371ea720f8dae

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=sha256:3373e185224e415eb6be9f0e018e7eceba28c59f1ee9be5f9d8db31d15be4680

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=sha256:6cd0f21a718e5fd2dd9db79f52b3046034ebf412170edb81a1918db7053b5709

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:f39718f13903483b2d1383607dcff8a1e4df47efa8f161749043294446746ea8

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=sha256:03b777cf4be51e02183ed8b4abfcad93b67c4d7ae4aae931f0a2d5f26953ba5a

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=sha256:316c906325020b96be022b855239ce05dbd209742a44a2cc600db0e4ffcc03af

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=sha256:9a19ca3d087ae8c69598dc366a57ec943e25bf81eb92d8db5cfaa7fb8d0b04ca

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:c1289ae07d1c1a8dea9d9f59a75044cd14f26d2c4ddb6082abe8b992a67d9675

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=sha256:2ca7c276e3d71b5e2a4035de9783222126917ef22b40b8761c6c0ca9cca2ba91

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=sha256:051710497706d000a161590d8e8a309e5eb26e371b31264aef6369c36a077fa0

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:a78da1bee0331cd0b5445d1f2cf6acf6dc4c1a880a62d3e3f2bfb1d57f8126ff

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=sha256:2887fd7f1ddf113a54c9a9c10eed5b18e34998040600c1ae3f6018252f855be4

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=sha256:8b9f69bb8098a949f38615072e616e77f6ed26f7f98281f4cadab4ddfdb2f517

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=sha256:955bfb8fbbea81165b827cb762725cc671c7bf073c1b322407e4ab0fa9fdaa3e

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=sha256:88ad1178a7d8eac3ef68132b008aadf2eba41188cafd9919672e1bab7ee95fbb

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=sha256:080c25b1a52e88d4f3ac55848660e7854dbd1abe34a21a266b40872c4289f75e

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=sha256:9981835881b0df5561244572a4082737c31906b7f628d8df3019ddd299cccac2

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=sha256:92c94c5701aa30b5743ce932be9814757595c1cb8588e9994d52e24b7460be6a

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=sha256:39381a505e7642398ca792d0b1e5ab6a6077cf539e4080ebb9f3ddd2cf959484

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=sha256:1909da7d84b78d55fd20a14e7d9216cb39789a25174b7db47b4f5dadf715799b

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=sha256:039968a99de1b1a7918775c791cb7b798c632319dbf20806f8ba359f6a77e697

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:c8037e58ffbc1476be4bd0943e60f3b142c8575c01f9ec72041e10e23f75895b

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:d20e76c3e1afd1a5e1ba52ace473899f7a86648eccbd4220c4c5a4aebad730ff

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:caa1aa0cac486924ef95bbdb82f389ce0c2daff55f87c41159817cf07173fb24

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=sha256:8f77e09c9a5c052cee1c6e8a457e58256747d95bc398c609873d2de02a9b1816

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=sha256:293f74a0017c7d3c8c02a510337bf52916b69da373ea87f4bc1197dc149f6071

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:e07db089ea5f9d930611a34fc294dc0e78b16cf2218eedd303bb7de380435a20

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=sha256:263c52d20950d38c53913ea226af835c69dd0429b86477482f2ceb6e0c824486

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:e3e616cab7304c530ed1a430a445ffe8d4e946ead1a663619979b30973e6fcff

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=sha256:488c4337f7eb32e1ea449b3f6564304f8a04cf5f54cb9d33496671feff44435e

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=sha256:4f368aae6886df36ea7557e75ae68fc1affe2ad7485710d4ab58d3c01df2877b

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:d5d3d78d90667103530ac99f351d03c108361da969c2c9503fa149e074d46ca1

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=sha256:4e778df18b0ee89e36b5719d4deed1fa1e00acd88da49658473f2b9d10e39949

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=sha256:5902b27b56309940885d8104443d35febfac7358668b9678f5364ed1e4217583

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=sha256:48851711a95cd3ee4482f86a7a029ac29a5c5ca2dc93cc221d2390260e6d8928

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=sha256:817c7b5ef848d752a8e24a5d6e89ae48b63af3450cebad07aac98d275e06e4ed