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Paper Citation Record · LEDGER

ABOPD: Antibody CDR Design via On-Policy Distillation

As of 5 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2607.18835.

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

pith.paper-citation-record.v1
2607.18835 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:15:56.008948Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

56 of 56 outbound references displayed

  • verified exact11
  • verified fuzzy0
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 15a734de-05b2-4f35-8a43-8b67c8668d21 · outbound

This paper cites an unresolved cited work.

ABOPD: Antibody CDR Design via On-Policy Distillation Unresolved cited work

Reference 1

Resolution
verified exact
doi, observed 2026-08-01T14:18:36.778455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-08-01T14:15:48.432984Z digest=sha256:725f9a49441c83ed016afaedbfc680a0543291d3ce9070f7747b253896916b8e

Observation 9c63d7c6-7f3a-4418-8266-eabc475ad29d · outbound

This paper cites RosettaAntibodyDesign(RAbD):Ageneralframework for computational antibody design.PLOS Computational Biology, 14(4):e1006112, April 2018.

ABOPD: Antibody CDR Design via On-Policy Distillation RosettaAntibodyDesign(RAbD):Ageneralframework for computational antibody design.PLOS Computational Biology, 14(4):e1006112, April 2018

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:48.586181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:48.586181Z digest=sha256:9ba2f697042de518d151debbc75829904f5744a550741ca1e0c1e660f42c6c9e

Observation 82ebb45f-4ed0-4390-8d59-422eb28be519 · outbound

This paper cites an unresolved cited work.

ABOPD: Antibody CDR Design via On-Policy Distillation Unresolved cited work

Reference 3

Resolution
verified exact
doi, observed 2026-08-01T14:18:36.433106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-08-01T14:15:48.728730Z digest=sha256:565cf7b3e6e56f2d8a6d13dc5f5ae21ef099353198b9118bf8e303d9e768b972

Observation 89210f0b-5e70-41ed-a4ee-600013f578ec · outbound

This paper cites Antigen-specific antibody design andoptimizationwithdiffusion-basedgenerativemodelsforproteinstructures.

ABOPD: Antibody CDR Design via On-Policy Distillation Antigen-specific antibody design andoptimizationwithdiffusion-basedgenerativemodelsforproteinstructures

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:48.897798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:48.897798Z digest=sha256:42815c59241033d047f5f1491b13e8bc2b20fa09bcfd8aed435f310b2ca55067

Observation 15041902-757c-491d-a38a-b6b809931419 · outbound

This paper cites End-to-end full-atom antibody design.

ABOPD: Antibody CDR Design via On-Policy Distillation End-to-end full-atom antibody design

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:49.098367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:49.098367Z digest=sha256:09173c89b6c8be48983f65af778128a04f199b6ff8bfa67a898b4b6a54f160cd

Observation c40f500e-17a6-489f-b04b-1180e2648322 · outbound

This paper cites GeoAB:towardsrealisticantibodydesignandreliableaffinitymaturation.

ABOPD: Antibody CDR Design via On-Policy Distillation GeoAB:towardsrealisticantibodydesignandreliableaffinitymaturation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:49.243399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:49.243399Z digest=sha256:eb2b7b5867158fb1e35b6c612bd064c5bd99bc063eced277aeee7b2985e2b394

Observation bd7c32ec-21cc-4995-aa42-9999b6f53d9e · outbound

This paper cites AbDiffuser: full-atom generation of in vitro functioning antibodies.

ABOPD: Antibody CDR Design via On-Policy Distillation AbDiffuser: full-atom generation of in vitro functioning antibodies

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:49.366165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:49.366165Z digest=sha256:5787ce666bfb1f188866fb8d58e9dae3b369987787dcbaac1e39768b3002c43a

Observation a2d9220a-4fe7-4e80-a9d8-39b0a8b14251 · outbound

This paper cites Greene, et al.

ABOPD: Antibody CDR Design via On-Policy Distillation Greene, et al

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:49.520018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:49.520018Z digest=sha256:9f28a69f0018d2497df8a9f9fd359d73d1bed49d95f24fbc8de6a9d7ce6105fa

Observation bab9fa85-a2f4-4bac-bc17-edc888bddfd9 · outbound

This paper cites Antigen-specific antibody design via direct energy-based preference optimization.

ABOPD: Antibody CDR Design via On-Policy Distillation Antigen-specific antibody design via direct energy-based preference optimization

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:49.697495Z

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source=pdf_text observed=2026-08-01T14:15:49.697495Z digest=sha256:7132f7aea6138e0620d1439f413c4467984e1b129aefd196dd6e3608914e1409

Observation 17060c45-8c39-4c5c-972a-8af363021d9e · outbound

This paper cites Input perturbation reduces exposure bias in diffusion models.

ABOPD: Antibody CDR Design via On-Policy Distillation Input perturbation reduces exposure bias in diffusion models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:49.864647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:49.864647Z digest=sha256:efd9eaa4c157ba3240242af6f3b93ada058f3003d0e5cafd2253118f59b1018c

Observation 3a9de728-b122-45d6-8a09-525be1f393ac · outbound

This paper cites Shuai, Jeffrey A.

ABOPD: Antibody CDR Design via On-Policy Distillation Shuai, Jeffrey A

Reference 11

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unresolved
no resolver link, observed 2026-08-01T14:15:50.034956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:50.034956Z digest=sha256:1af059d7721995972e9c0fa13ac08e3c08656341efbba5254464482c3dd1e6db

Observation c206cd97-371f-47d2-9bde-31f60f93838b · outbound

This paper cites Fleishman.

ABOPD: Antibody CDR Design via On-Policy Distillation Fleishman

Reference 12

Resolution
verified exact
doi, observed 2026-08-01T14:18:36.089555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-08-01T14:15:50.197772Z digest=sha256:557097a380ea1bc8c788be4b1420b272691a5bd433553d573771f4235c5015a1

Observation ac85dd7c-49bc-440a-ac9c-21ec52bdc558 · outbound

This paper cites Conditional antibody design as 3D equivariant graph translation.

ABOPD: Antibody CDR Design via On-Policy Distillation Conditional antibody design as 3D equivariant graph translation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:50.388735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:50.388735Z digest=sha256:0f11356a8c9f51e15627e5291b4dbf444ab22cf205b80bbc21892c946b3aeb6b

Observation a9a9db3b-4b1b-4d19-a004-7238431b67ff · outbound

This paper cites Jaakkola.

ABOPD: Antibody CDR Design via On-Policy Distillation Jaakkola

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:50.605514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:50.605514Z digest=sha256:1943b3cec061792138c71e1a45dcd0ebd62862cff6795ba037ac6b1edaa73fb6

Observation cdd8733d-bf66-4d9f-a4d7-63a238e25326 · outbound

This paper cites Bennett, Joseph L.

ABOPD: Antibody CDR Design via On-Policy Distillation Bennett, Joseph L

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:50.784840Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:50.784840Z digest=sha256:436e93216d3472b02687209744a5bef1ec0efc00b5e4445c38122e7dc56436e0

Observation ae5d5dd9-b53e-40cb-994c-4757c67d48dd · outbound

This paper cites IgGM: A generative model for functional antibody and nanobody design.

ABOPD: Antibody CDR Design via On-Policy Distillation IgGM: A generative model for functional antibody and nanobody design

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:50.961537Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:50.961537Z digest=sha256:bf62d50b409f8a2c7a1fb6ca47422552ff75709cd7b56b2a967f5df9f85a999f

Observation 3f77813c-ae98-4d4e-8289-c3e41fad78c6 · outbound

This paper cites AbFlow: End-to-endparatope-centricantibodydesign by interaction enhanced flow matching.

ABOPD: Antibody CDR Design via On-Policy Distillation AbFlow: End-to-endparatope-centricantibodydesign by interaction enhanced flow matching

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:51.124210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:51.124210Z digest=sha256:930b99410b5fe5d4d810990707025e7e8dc302301c8ddf3a10cdf7c3a13cb578

Observation 3d85ebf7-fbc7-4ca7-9adc-a897fb500474 · outbound

This paper cites ODesign: A world model for biomolecular interaction design, 2025.

ABOPD: Antibody CDR Design via On-Policy Distillation ODesign: A world model for biomolecular interaction design, 2025

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:51.273454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:51.273454Z digest=sha256:45e50b50f6e5d59883b9d1826e1a37791f25a47335785abb984900de858f6782

Observation ae0434a1-4314-400e-8a22-915e77c58e54 · outbound

This paper cites High-affinity protein binder design via flow matching and in silico maturation.bioRxiv, January 2026.

ABOPD: Antibody CDR Design via On-Policy Distillation High-affinity protein binder design via flow matching and in silico maturation.bioRxiv, January 2026

Reference 19

Resolution
verified exact
doi, observed 2026-08-01T14:18:35.954134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-08-01T14:15:51.409261Z digest=sha256:a9717ae67ad051b4740e1ffabcd75e1bce178b63fe3a5d1615553cdd213b1f59

Observation 248973fe-58cc-4957-acfd-e6af84a28bfd · outbound

This paper cites Pellock, Tamuka M.

ABOPD: Antibody CDR Design via On-Policy Distillation Pellock, Tamuka M

Reference 20

Resolution
verified exact
doi, observed 2026-08-01T14:18:35.713208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-08-01T14:15:51.545786Z digest=sha256:ef4fe738693413b2c4e69482a98a1302cbb5e7514776ccd167b95142a9dbb57f

Observation ce946126-df32-4552-8827-4a5f85bba8c1 · outbound

This paper cites Dauparas, I.

ABOPD: Antibody CDR Design via On-Policy Distillation Dauparas, I

Reference 21

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unresolved
no resolver link, observed 2026-08-01T14:15:51.693008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:51.693008Z digest=sha256:8459b934b9e249386ddb09620e8e82661d170462c07b48643dd81586b69ad65c

Observation b4bf2dda-c3ae-4453-8f46-25da6b5080ab · outbound

This paper cites Watson, David Juergens, Nathaniel R.

ABOPD: Antibody CDR Design via On-Policy Distillation Watson, David Juergens, Nathaniel R

Reference 22

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unresolved
no resolver link, observed 2026-08-01T14:15:51.851801Z

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source=pdf_text observed=2026-08-01T14:15:51.851801Z digest=sha256:1d7c0de61f74f2b1f921b71cad42ce7764d9a71ef6edc4813628241499050870

Observation dffc0c2b-19c6-4c8c-adc9-0e7ceee16a3f · outbound

This paper cites Ingraham, Max Baranov, Zak Costello, et al.

ABOPD: Antibody CDR Design via On-Policy Distillation Ingraham, Max Baranov, Zak Costello, et al

Reference 23

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unresolved
no resolver link, observed 2026-08-01T14:15:52.019316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:52.019316Z digest=sha256:3658e43cc078df71344cf2cb46963d38804889f0318451c3923a978a7f75eebf

Observation 0c67e6b3-09c8-4d9b-a123-37596087e580 · outbound

This paper cites Trippe, Valentin De Bortoli, et al.

ABOPD: Antibody CDR Design via On-Policy Distillation Trippe, Valentin De Bortoli, et al

Reference 24

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no resolver link, observed 2026-08-01T14:15:52.154730Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:52.154730Z digest=sha256:40ad33a57e46cd5427eb9a3a87c37f952fa0e5c729e6d946ba6f7f6b01d5899c

Observation 4e08169f-7a78-4c36-8bd1-43fa9b99d7d9 · outbound

This paper cites FastproteinbackbonegenerationwithSE(3)flowmatching.

ABOPD: Antibody CDR Design via On-Policy Distillation FastproteinbackbonegenerationwithSE(3)flowmatching

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:52.239885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:52.239885Z digest=sha256:b9050b79e99fb78b264ba98f7820eba23399baebdbfdbcd17296a85240035da2

Observation d580089e-9ddd-4b8c-a7a8-c9593371e91a · outbound

This paper cites SE(3)-stochastic flow matching for protein backbone generation.

ABOPD: Antibody CDR Design via On-Policy Distillation SE(3)-stochastic flow matching for protein backbone generation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:52.320633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:52.320633Z digest=sha256:0e68a134794fec5dd3ff90f47fff939a25c37836870df39e6ca5681520039fc8

Observation f4ec7e35-11c4-4c88-b749-ce15610e3fe9 · outbound

This paper cites On-policy distillation of language models: Learning from self-generated mistakes.

ABOPD: Antibody CDR Design via On-Policy Distillation On-policy distillation of language models: Learning from self-generated mistakes

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:52.433610Z

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source=pdf_text observed=2026-08-01T14:15:52.433610Z digest=sha256:4825a999e3096d832dd801c9722df2eff8bccca7ab4027a4301ce3d86667db81

Observation ffde584d-748b-4c42-8aa6-7fd562a32702 · outbound

This paper cites D-OPSD: On-policy self-distillation for continuously tuning step-distilled diffusion models, 2026.

ABOPD: Antibody CDR Design via On-Policy Distillation D-OPSD: On-policy self-distillation for continuously tuning step-distilled diffusion models, 2026

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:52.507047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:52.507047Z digest=sha256:926d60647ba3fbb45fbaf7beff11cb41f2ae6dae14e2c0387b6d19bf293d6ba6

Observation 84bf09f7-22cb-4dd2-994e-ef1898d271aa · outbound

This paper cites Flow-OPD: On-policy distillation for flow matching models, 2026.

ABOPD: Antibody CDR Design via On-Policy Distillation Flow-OPD: On-policy distillation for flow matching models, 2026

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:52.600512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:52.600512Z digest=sha256:574fd7ab0016601312f2abe24a713fc2849495975678159394660a05b4cdf7ed

Observation bbef8f1c-db26-43b5-9759-7065557bd094 · outbound

This paper cites DiffusionOPD:Aunifiedperspectiveofon-policydistillationindiffusion models, 2026.

ABOPD: Antibody CDR Design via On-Policy Distillation DiffusionOPD:Aunifiedperspectiveofon-policydistillationindiffusion models, 2026

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:52.676955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:52.676955Z digest=sha256:a3ec45fa709510deebeab98d6dcf8b4c39480f92e58844424c76375b15a33442

Observation 7fc03af2-0b67-4c3a-9f40-796debfa31d5 · outbound

This paper cites Molecular de-novo design through deep reinforcement learning.Journal of Cheminformatics, 9(1):48, 2017.

ABOPD: Antibody CDR Design via On-Policy Distillation Molecular de-novo design through deep reinforcement learning.Journal of Cheminformatics, 9(1):48, 2017

Reference 31

Resolution
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no resolver link, observed 2026-08-01T14:15:52.792332Z

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source=pdf_text observed=2026-08-01T14:15:52.792332Z digest=sha256:53eda409ef1d2188a62dda08f60393a44779d21e6fae532f811f462520695948

Observation 78f7f407-1759-406a-8987-c0f72cb59c01 · outbound

This paper cites Graph convolutional policy network for goal-directed molecular graph generation.

ABOPD: Antibody CDR Design via On-Policy Distillation Graph convolutional policy network for goal-directed molecular graph generation

Reference 32

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T14:15:52.907300Z digest=sha256:80f85f25b885a59beeb0aa480121aba883cc526d95c2989c5bbeb3d27a8d8e9a

Observation 09553321-1e1a-40e4-8b9b-cd6a6a22be8f · outbound

This paper cites Zare, and Patrick Riley.

ABOPD: Antibody CDR Design via On-Policy Distillation Zare, and Patrick Riley

Reference 33

Resolution
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no resolver link, observed 2026-08-01T14:15:53.037227Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T14:15:53.037227Z digest=sha256:c8ec9cf80aa29025be2becc921dedd6e34b77ec070de97e4c50bb4afe63bc2b1

Observation 01299bec-0b7b-410f-ad71-9ceb9e5172d9 · outbound

This paper cites MolAct: An agentic RL framework for molecular editing and property optimization, 2025.

ABOPD: Antibody CDR Design via On-Policy Distillation MolAct: An agentic RL framework for molecular editing and property optimization, 2025

Reference 34

Resolution
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no resolver link, observed 2026-08-01T14:15:53.180093Z

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source=pdf_text observed=2026-08-01T14:15:53.180093Z digest=sha256:238ae18b60a16e12c553d6c09419b831f2e8fb2f95f3d5252c5ea7495b71edca

Observation c8ddc9cd-e22c-4f48-9c41-e6c072b59b65 · outbound

This paper cites ProteinRL: Reinforcement learning with generative protein language models for property-directed sequence design.

ABOPD: Antibody CDR Design via On-Policy Distillation ProteinRL: Reinforcement learning with generative protein language models for property-directed sequence design

Reference 35

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source=pdf_text observed=2026-08-01T14:15:53.398571Z digest=sha256:ab0a6f5f50f07377103c4f59cf49d3edc79121120f03c2fad49f1ae301e0860e

Observation 15f12c77-b64a-474b-a7be-727f96c9d739 · outbound

This paper cites Mark Kim, and Armen Mkrtchyan.

ABOPD: Antibody CDR Design via On-Policy Distillation Mark Kim, and Armen Mkrtchyan

Reference 36

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source=pdf_text observed=2026-08-01T14:15:53.558528Z digest=sha256:fec8cf61162477a62c42fa7dc20034dd8e068ad14ce06ef1889061f996d6a376

Observation 70820568-9b23-41ac-864a-fac825acf214 · outbound

This paper cites Classifier-free diffusion guidance.

ABOPD: Antibody CDR Design via On-Policy Distillation Classifier-free diffusion guidance

Reference 37

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source=pdf_text observed=2026-08-01T14:15:53.660439Z digest=sha256:f5d624aafb78425ee9925dcea7e2adff800d57831e3a9e40e62600094dfe8a1a

Observation 4cc56579-4714-4234-be50-01390d2ce3cc · outbound

This paper cites Learning using privileged information: similarity control and knowledge transfer.J.

ABOPD: Antibody CDR Design via On-Policy Distillation Learning using privileged information: similarity control and knowledge transfer.J

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:53.814715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:53.814715Z digest=sha256:4cf41616904f5d2b8e2cd8bddb8ef4d9fd742f0fd12fa20de4854625d0a670cb

Observation 56fcfad0-b751-44cb-bf19-6e09d3013959 · outbound

This paper cites Unifying distillation and privileged information.

ABOPD: Antibody CDR Design via On-Policy Distillation Unifying distillation and privileged information

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:53.995923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:53.995923Z digest=sha256:d7384a51a19511e636bb9e164a7812e8ada84cf03de129cf1354e83d19d2dd5c

Observation 3e1d30c8-4709-4647-b7e9-2048136712b8 · outbound

This paper cites Denoising diffusion probabilistic models.

ABOPD: Antibody CDR Design via On-Policy Distillation Denoising diffusion probabilistic models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:54.118244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:54.118244Z digest=sha256:69d216e86d2c65b8df0147636b605f896e8ce262715401810528b4b3b03f7782

Observation 958bb434-c00e-4697-9557-c852c0c16226 · outbound

This paper cites SAbDab: the structural antibody database.Nucleic Acids Research, 42(D1):D1140–D1146, 2014.

ABOPD: Antibody CDR Design via On-Policy Distillation SAbDab: the structural antibody database.Nucleic Acids Research, 42(D1):D1140–D1146, 2014

Reference 41

Resolution
verified exact
doi, observed 2026-08-01T14:18:35.363924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-08-01T14:15:54.234337Z digest=sha256:4759ab14078d8f4dda2f7c7d3bbc64e7db775dc9c90016805c8ec9ba4a37dba1

Observation 85b06d5d-5f44-429c-9b2f-70580c2b0e0e · outbound

This paper cites Full-atompeptidedesignwithgeometriclatentdiffusion.

ABOPD: Antibody CDR Design via On-Policy Distillation Full-atompeptidedesignwithgeometriclatentdiffusion

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:54.346602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:54.346602Z digest=sha256:77d633667b1a6ffa33ae234331390ad6be0662056dce0cc2aaaa81867bf3b245

Observation a21e0c2e-48bf-4489-ad90-5760e27f8b08 · outbound

This paper cites Proteo-R1: Reasoning foundation models for de novo protein design.

ABOPD: Antibody CDR Design via On-Policy Distillation Proteo-R1: Reasoning foundation models for de novo protein design

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:54.419274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:54.419274Z digest=sha256:84483687b373bfe3749d84477f1f01c07678d1ae8e1316696080457771d5a140

Observation 06d909c3-67f1-493b-b225-d725860c4114 · outbound

This paper cites Lewis, et al.

ABOPD: Antibody CDR Design via On-Policy Distillation Lewis, et al

Reference 44

Resolution
verified exact
doi, observed 2026-08-01T14:18:35.088469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-08-01T14:15:54.579691Z digest=sha256:556ea13f20fd0b5370a70732c56f1280935501d3c7469437a55cff5628e14229

Observation 18b940ad-bfbf-4f44-a7d1-65900e0eb715 · outbound

This paper cites Alford, Andrew Leaver-Fay, Jeliazko R.

ABOPD: Antibody CDR Design via On-Policy Distillation Alford, Andrew Leaver-Fay, Jeliazko R

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:54.786552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:54.786552Z digest=sha256:863a28711879aa323d737945d0919da098ddeefc7eac76a78ddbe2a0aac9d815

Observation 3f4c0b0a-96c4-4ba0-bc53-17dcd9017679 · outbound

This paper cites DockQ: A quality measure for protein-protein docking models.PLOS ONE, 11(8): e0161879, 2016.

ABOPD: Antibody CDR Design via On-Policy Distillation DockQ: A quality measure for protein-protein docking models.PLOS ONE, 11(8): e0161879, 2016

Reference 46

Resolution
verified exact
doi, observed 2026-08-01T14:18:34.793535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-08-01T14:15:54.929492Z digest=sha256:0ad9285d41e07676e797887846a360ee0afca7213dff18ea7d8c070cddfbe249

Observation d691b5a0-3c71-47d4-a559-bd538e505e51 · outbound

This paper cites UniMoMo: Unified generative modeling of 3D molecules for de novo binder design.

ABOPD: Antibody CDR Design via On-Policy Distillation UniMoMo: Unified generative modeling of 3D molecules for de novo binder design

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:55.035775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:55.035775Z digest=sha256:330693e694715102329d56429dd375d48c64e8e78b6beed9a6405c5fb81f4368

Observation 6fdae50f-bdac-4673-8e5e-3a5b8ba0e48b · outbound

This paper cites Antibody design using a score-based diffusion model guided by evolutionary,physicalandgeometricconstraints.

ABOPD: Antibody CDR Design via On-Policy Distillation Antibody design using a score-based diffusion model guided by evolutionary,physicalandgeometricconstraints

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:55.148144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:55.148144Z digest=sha256:2825bf95b2f804c4c3c7c5dd31a8e6f2f36e1c0172a418b49d7825fb7ff63b96

Observation 84c1d573-6c7f-4b7e-b8c7-c2ff469b4303 · outbound

This paper cites Ruffolo, Lee-Shin Chu, Sayan P.

ABOPD: Antibody CDR Design via On-Policy Distillation Ruffolo, Lee-Shin Chu, Sayan P

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:55.243202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:55.243202Z digest=sha256:940424569365178343e6cccd23e84856ca3a45fff2132b11839b07e45d5806b3

Observation f343b3bf-2014-4a69-bc99-60067b008721 · outbound

This paper cites The HDOCK server for integrated protein–protein docking.Nature Protocols, 15:1829–1852, 2020.

ABOPD: Antibody CDR Design via On-Policy Distillation The HDOCK server for integrated protein–protein docking.Nature Protocols, 15:1829–1852, 2020

Reference 50

Resolution
verified exact
doi, observed 2026-08-01T14:18:34.507636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-08-01T14:15:55.341155Z digest=sha256:f06c82caa28056f8f086620234d78e203419319ea2141c1f2a1877a8da922aff

Observation bf6f087b-163b-4953-95ae-522784859bb5 · outbound

This paper cites Dynamic geometric equivariant network for full-atom antibodydesign.ProceedingsoftheAAAIConferenceonArtificialIntelligence,40(1):444–452,March2026.

ABOPD: Antibody CDR Design via On-Policy Distillation Dynamic geometric equivariant network for full-atom antibodydesign.ProceedingsoftheAAAIConferenceonArtificialIntelligence,40(1):444–452,March2026

Reference 51

Resolution
verified exact
doi, observed 2026-08-01T14:18:34.265621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-08-01T14:15:55.452629Z digest=sha256:f98e9dcb11e0714c3a0186085b923d7b2e8e3f9ef99e19eba283f4807ae48ab4

Observation 5e259ac2-0683-4f13-9e05-b4e2e964089b · outbound

This paper cites BoltzGen: Toward universal binder design.bioRxiv, November.

ABOPD: Antibody CDR Design via On-Policy Distillation BoltzGen: Toward universal binder design.bioRxiv, November

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:55.576223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:55.576223Z digest=sha256:ae9b65bebacdca70e09de9cab7f02eaa65e9b5ce4ad012ee9390ccfbda0f455d

Observation 394472a0-d283-4e69-af74-3792f0bd6327 · outbound

This paper cites Guiding a diffusion model with a bad version of itself.

ABOPD: Antibody CDR Design via On-Policy Distillation Guiding a diffusion model with a bad version of itself

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:55.771610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:55.771610Z digest=sha256:95d9ad29f45d8535ddfbdd8ab585a9e376bbba97d89e8b7337adc84904af3f41

Observation 0f148cde-68d5-4fee-833d-8cc4ea2f52d2 · outbound

This paper cites Token perturbation guidance for diffusion models.

ABOPD: Antibody CDR Design via On-Policy Distillation Token perturbation guidance for diffusion models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:55.883166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:55.883166Z digest=sha256:556aee3940336d12f17659c6a9f275b9447c85ef3f10cf5030394ba4570cb434

Observation a5c2aeeb-f5e9-44fe-afcc-14631eb9e757 · outbound

This paper cites reference-derived.

ABOPD: Antibody CDR Design via On-Policy Distillation reference-derived

Reference 55

Resolution
verified exact
doi, observed 2026-08-01T14:18:33.984589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-08-01T14:15:56.008948Z digest=sha256:717100568c22b550b7360a211046cb385f88f1153f2ced9f3c36a9e959f2e37f

Observation 2e3f2e10-9373-4611-95ac-a2962eea795f · outbound

This paper cites URLhttp://dx.doi.org/10.1101/2025.11.20.689494.

ABOPD: Antibody CDR Design via On-Policy Distillation URLhttp://dx.doi.org/10.1101/2025.11.20.689494

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:55.659547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:55.659547Z digest=sha256:d4b1f2a6ae44619c08c7386746cc87d2e279a940dca39cc7532e97d21cf5bff2

Pith citing papers

No inbound Pith citation observations are available.