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Paper Citation Record · LEDGER

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models

As of 8 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2607.06421.

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

pith.paper-citation-record.v1
2607.06421 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T06:24:29.841730Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

51 of 51 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f409da5c-3d09-4380-8199-91701c93cfc3 · outbound

This paper cites Butler, Daniel W.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Butler, Daniel W

Reference 1

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Observation 8b0f1ec0-0dde-47bd-9348-f8a35a293671 · outbound

This paper cites Inverse Molecular Design Using Machine Learning: Generative Models for Matter Engineering.Science, 361(6400):360–365.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Inverse Molecular Design Using Machine Learning: Generative Models for Matter Engineering.Science, 361(6400):360–365

Reference 2

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Observation dc6046a6-bb16-4fc8-bf26-ca5fecc8a960 · outbound

This paper cites an unresolved cited work.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Unresolved cited work

Reference 3

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Observation 06fee4f5-bc1f-46e1-bb45-279f150600a6 · outbound

This paper cites N., Shteingolts, S.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models N., Shteingolts, S

Reference 4

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Source-reported events for the cited work

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Observation 9160f54f-0f44-4b6b-a8f4-24b8efe3ae47 · outbound

This paper cites Enabling Structure-Only Initialization and Out-of-Distribution Generalization in GNN-based Molecular Dynamics Simulators.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Enabling Structure-Only Initialization and Out-of-Distribution Generalization in GNN-based Molecular Dynamics Simulators

Reference 5

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Observation 1a898cac-baf6-4240-887e-0c7c5592f480 · outbound

This paper cites Learning to simulate complex physics with graph networks.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Learning to simulate complex physics with graph networks

Reference 6

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Source-reported events for the cited work

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Observation b6f14b40-e7f9-4a0d-a27f-d7b95f86154f · outbound

This paper cites Denoising diffusion probabilistic models.Advances in Neu- ral Information Processing Systems, 33:6840–6851,.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Denoising diffusion probabilistic models.Advances in Neu- ral Information Processing Systems, 33:6840–6851,

Reference 7

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Observation 49ad7dfb-3ea6-4f3c-959e-0e40ac6f0246 · outbound

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Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Unresolved cited work

Reference 8

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Observation e61ccd97-0297-475c-8a2f-91322f4a7693 · outbound

This paper cites Jumper , author R.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Jumper , author R

Reference 9

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Observation d5c5cc54-d027-4599-9c78-d8697d5b8a15 · outbound

This paper cites representation.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models representation

Reference 10

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Observation 28932598-7887-494f-bd07-be2dd7468510 · outbound

This paper cites L., Juergens, D., Bennett, N.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models L., Juergens, D., Bennett, N

Reference 11

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Observation 1f6e1c8d-577f-47f2-a0f0-7020e80598aa · outbound

This paper cites B., Baranov, M., Costello, Z., Barber, K.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models B., Baranov, M., Costello, Z., Barber, K

Reference 12

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Observation 8cdf245a-8eb7-4ce6-8159-4c5f0f1ccaba · outbound

This paper cites E., Yang, K.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models E., Yang, K

Reference 13

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Observation 8ebf980c-0da8-4a08-853e-0aeffda69e08 · outbound

This paper cites L., De Bortoli, V., Mathieu, E., Doucet, A., Barzilay, R., and Jaakkola, T.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models L., De Bortoli, V., Mathieu, E., Doucet, A., Barzilay, R., and Jaakkola, T

Reference 14

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Observation 955f292a-8fc1-4125-b32e-ef8cfb2d7a9f · outbound

This paper cites J., Lin, G., Chen, M., Sa- hoo, A., and Hanson, S.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models J., Lin, G., Chen, M., Sa- hoo, A., and Hanson, S

Reference 15

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Observation c2854271-67ff-4633-b7e3-ebc500936682 · outbound

This paper cites M., Emenecker, R.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models M., Emenecker, R

Reference 17

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Observation ee7dcdcf-7149-4feb-aa91-1196f47f73f2 · outbound

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Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Unresolved cited work

Reference 18

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Observation 0be1b4d8-f60b-4c46-989c-49a8c18a29b1 · outbound

This paper cites C., Fernandez-Quintero, M.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models C., Fernandez-Quintero, M

Reference 19

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Observation 851fe488-efd4-4ba9-b3f3-63b6cf8ad1d7 · outbound

This paper cites Leveraging conformational ensembles in allosteric drug discovery.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Leveraging conformational ensembles in allosteric drug discovery

Reference 20

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Observation 9f23073c-6343-49b7-b5b6-9430210887db · outbound

This paper cites G., and Wolynes, P.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models G., and Wolynes, P

Reference 21

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Observation 01b11685-6dff-4ecc-bbfc-24e4147af1a3 · outbound

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Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Unresolved cited work

Reference 22

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Observation 7432d7e2-539b-4205-8089-17b42eb45c25 · outbound

This paper cites and Parrinello, M.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models and Parrinello, M

Reference 23

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Observation b69e4efa-bfc3-45e6-9631-ab0003f8694c · outbound

This paper cites R., Valsson, O., and Delemotte, L.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models R., Valsson, O., and Delemotte, L

Reference 24

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Observation 879d2387-4626-4d51-a0bf-4c31e5f48ba3 · outbound

This paper cites Collec- tive variable-guided engineering of the free-energy surface of a small peptide.arXiv preprint arXiv:2602.19906, 2026.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Collec- tive variable-guided engineering of the free-energy surface of a small peptide.arXiv preprint arXiv:2602.19906, 2026

Reference 25

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Observation 20ba94db-9abd-4605-a886-603643346d63 · outbound

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Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Unresolved cited work

Reference 26

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Observation 7059d75f-ba00-481a-a89c-56dd2f385e18 · outbound

This paper cites and Bussi, G.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models and Bussi, G

Reference 27

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 524ce19e-2160-4c48-b7e3-3e4b1578fff4 · outbound

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Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Unresolved cited work

Reference 28

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Observation 23716b6d-0e35-4ff0-b03b-ea152589fd29 · outbound

This paper cites Journal of Physical Chemistry Letters , month =.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Journal of Physical Chemistry Letters , month =

Reference 29

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Observation d4a4a99b-357c-4e72-a6a0-6390badbf7d6 · outbound

This paper cites Science Advances , month =.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Science Advances , month =

Reference 30

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Observation dceab2d6-2c07-489e-bf01-49f0d1ed5684 · outbound

This paper cites an unresolved cited work.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Unresolved cited work

Reference 31

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Source-reported events for the cited work

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Observation babd6282-661b-483f-af2d-ee76064cc7b5 · outbound

This paper cites Anderson, D.A.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Anderson, D.A

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 211dd7fa-ac0a-418e-ba4e-2953e6b5d161 · outbound

This paper cites On estimation of a probability density func- tion and mode.The Annals of Mathematical Statistics, 33(3):1065–1076, 1962.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models On estimation of a probability density func- tion and mode.The Annals of Mathematical Statistics, 33(3):1065–1076, 1962

Reference 33

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 01414fb3-8997-4afb-8574-f2424ac889a2 · outbound

This paper cites End-to-End Diffusion Latent Optimization Improves Classifier Guidance.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models End-to-End Diffusion Latent Optimization Improves Classifier Guidance

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation de5b3acd-a282-4013-850f-97f77b3508e5 · outbound

This paper cites Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method

Reference 35

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local_arxiv, observed 2026-07-08T06:24:42.026738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 94d51aed-a268-43c3-afdd-d9a1292f2c87 · outbound

This paper cites Learn- ing fast samplers for diffusion models by differentiating through sample quality.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Learn- ing fast samplers for diffusion models by differentiating through sample quality

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 57499fc1-f9ff-4931-b0dc-bb7673609f18 · outbound

This paper cites Denoising Diffusion Implicit Models.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Denoising Diffusion Implicit Models

Reference 37

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b9b2a254-3d38-4f25-982b-5715e0837ac3 · outbound

This paper cites Learning Sparse Neural Networks through $L_0$ Regularization.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Learning Sparse Neural Networks through $L_0$ Regularization

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-07-08T06:24:42.082615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T06:24:29.841730Z digest=sha256:9d89063f1fc709f3719c8fdc6d974da72f0248790d8360c2373bdfedc1464a40

Observation ce7e41c0-9ea0-44a5-a9b2-e164216611b0 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-07-08T06:24:42.107851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T06:24:29.841730Z digest=sha256:89eb3eb0256531521da814ddd6b5c7bbf6b322a11944b8a20b36b6d6d80b8f7e

Observation e6fb3560-3d89-4047-b2c0-2ece6dee4215 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Categorical Reparameterization with Gumbel-Softmax

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-07-08T06:24:42.104296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T06:24:29.841730Z digest=sha256:9679e1e42f77709750a89c43149d0d42c1df4493ed545f8682cdb480f3aaefd8

Observation 832ccb31-01ec-4501-9600-d3256b4bd132 · outbound

This paper cites The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

Reference 41

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T06:24:42.094218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T06:24:29.841730Z digest=sha256:5b2cf8cde219a48242b672936d1b5e7f11138fd01b92b37751b68f0d8aab8271

Observation 64d7b9b0-ee8b-4bb7-913b-0cd32d3727d3 · outbound

This paper cites an unresolved cited work.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Unresolved cited work

Reference 42

Resolution
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raw_fallback, observed 2026-07-08T06:24:42.358712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T06:24:29.841730Z digest=sha256:0563af60cbdc0947467e9d442be4090b4067f286c061f6741ad35877a14c7772

Observation dc1ccc48-c5d5-4e20-90ae-9b715b710d4d · outbound

This paper cites Fast parallel algorithms for short-range molecular dynamics.Journal of Computational Physics, 117(1):1–19, 1995.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Fast parallel algorithms for short-range molecular dynamics.Journal of Computational Physics, 117(1):1–19, 1995

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T06:24:42.310390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T06:24:29.841730Z digest=sha256:654ebfd65aab5c662f587c39e46a384b8c896a762db3acd3dcc9b5d2800600be

Observation 716b99d0-f3a8-495f-a013-0612bf67e9e0 · outbound

This paper cites FiLM: Visual reasoning with a general conditioning layer.AAAI Conference on Artificial Intelli- gence, 2018.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models FiLM: Visual reasoning with a general conditioning layer.AAAI Conference on Artificial Intelli- gence, 2018

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T06:24:42.302686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T06:24:29.841730Z digest=sha256:6ad15c08cebf68ae19f2b12ab3fb8dad1ac3c7ced82e1f50d03b6049c93342e5

Observation 1df2eec1-cfcc-4851-9ac9-9e9a3741754c · outbound

This paper cites Collective variables from local fluctuations.The Journal of Physical Chemistry Letters, 9(11):2776–2781, 2018.https://doi.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Collective variables from local fluctuations.The Journal of Physical Chemistry Letters, 9(11):2776–2781, 2018.https://doi

Reference 45

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T06:24:29.841730Z digest=sha256:52397222960c0dc083cde5126d0fac16691dbfef425fa1950a128a1c524b3aa5

Observation 32a828d9-a822-4700-b5a6-57e186989795 · outbound

This paper cites Garai, S.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Garai, S

Reference 46

Resolution
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doi_truncated, observed 2026-07-08T06:24:42.039465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T06:24:29.841730Z digest=sha256:f5cc5091afa7aae7bc026d67578313c2030f149debd5f04cedb55ca6ad1bcec6

Observation bf43cc0a-8f4b-4b90-86d2-3f3c9f93f920 · outbound

This paper cites M., Brotzakis, Z.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models M., Brotzakis, Z

Reference 47

Resolution
verified exact
doi, observed 2026-07-08T06:24:42.009191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T06:24:29.841730Z digest=sha256:df1fb04965baab6091de38382fbbe6f7c29993d7700a0247d96f554a67a11dfd

Observation f3e08a37-27ba-4a4a-82d5-34e98d3430a9 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.Advances in Neural Information Processing Systems, 2013.https://arxiv.org/abs/1306.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Sinkhorn distances: Lightspeed computation of optimal transport.Advances in Neural Information Processing Systems, 2013.https://arxiv.org/abs/1306

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T06:24:42.300083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T06:24:29.841730Z digest=sha256:f0300119c57622360aca1052cb07cbc564bc9bf496b1aac4c3f2c311e66a6bdd

Observation 7ec7a07e-3e0a-4af7-a34f-10e06338ab3f · outbound

This paper cites an unresolved cited work.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-07-08T06:24:42.316712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T06:24:29.841730Z digest=sha256:6a89d723432e71e06f102cce33ac42a3619a9b43f1f79eeb5b35325b96c0d145

Observation 292aca00-fac8-4111-8d1f-be6dd81dfab1 · outbound

This paper cites EigenFold: Generative Protein Structure Prediction with Diffusion Models.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models EigenFold: Generative Protein Structure Prediction with Diffusion Models

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-07-08T06:24:42.079430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T06:24:29.841730Z digest=sha256:57518729e81a68a72ac7dc4532f8bbc726e8301f2e6bec0e55ac8c6d61120240

Observation 91ef6154-6962-474f-9842-5e10425cd5f8 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Explaining and Harnessing Adversarial Examples

Reference 51

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T06:24:42.089534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T06:24:29.841730Z digest=sha256:5c7eea946fac9436630436a9a2fbe5b138a637e8eb7e6c9cd0638e7fd9570e5e

Observation 109a7b81-db86-49cb-8d32-3e1172f0a7de · outbound

This paper cites C., Parres-Gold, J., Pieri, E., Cruzeiro, V.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models C., Parres-Gold, J., Pieri, E., Cruzeiro, V

Reference 52

Resolution
verified exact
doi, observed 2026-07-08T06:24:42.057066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.