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Paper Citation Record · LEDGER

Self-Supervised Learning for Ordered Three-Dimensional Structures

As of 12 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2411.14680.

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

pith.paper-citation-record.v1
2411.14680 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:06:32.411287Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation 4532aedc-4093-4453-9821-e6b48caf2244 · outbound

This paper cites Language Models are Few-Shot Learners.

Self-Supervised Learning for Ordered Three-Dimensional Structures Language Models are Few-Shot Learners

Reference 1

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Observation 2bbe73b1-4734-49b0-9bf8-acaacf152fae · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Self-Supervised Learning for Ordered Three-Dimensional Structures BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2

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Observation 29808f62-570b-459c-8d99-50041b5fb80b · outbound

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Self-Supervised Learning for Ordered Three-Dimensional Structures Unresolved cited work

Reference 3

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Observation ae95066d-be56-4a81-b7ee-7826e9029d4e · outbound

This paper cites Jukebox: A Generative Model for Music.

Self-Supervised Learning for Ordered Three-Dimensional Structures Jukebox: A Generative Model for Music

Reference 4

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Observation a21c71d5-01d7-4ad1-acb6-905ab3ce6da6 · outbound

This paper cites Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing, July 2021.

Self-Supervised Learning for Ordered Three-Dimensional Structures Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing, July 2021

Reference 5

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Observation d5beb8de-73d5-4e77-a8fc-e57db596f3b0 · outbound

This paper cites Multitask prompted training enables zero-shot task generalization.

Self-Supervised Learning for Ordered Three-Dimensional Structures Multitask prompted training enables zero-shot task generalization

Reference 6

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Observation d4d50fff-469f-4b74-a99d-71bb8b637748 · outbound

This paper cites Self-supervised learning of local features in 3D point clouds.

Self-Supervised Learning for Ordered Three-Dimensional Structures Self-supervised learning of local features in 3D point clouds

Reference 7

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Observation 603ec9d7-e83b-4f9c-a990-dbc757e6a4ab · outbound

This paper cites Self-supervised few-shot learning on point clouds.

Self-Supervised Learning for Ordered Three-Dimensional Structures Self-supervised few-shot learning on point clouds

Reference 8

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Observation d33f5658-d58f-4cad-bf78-480661d15ab3 · outbound

This paper cites Self-supervised learning on 3D point clouds by learning discrete generative models.

Self-Supervised Learning for Ordered Three-Dimensional Structures Self-supervised learning on 3D point clouds by learning discrete generative models

Reference 9

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Observation 8e34d4f1-0dd4-487f-a408-2d2a74f2fd52 · outbound

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Self-Supervised Learning for Ordered Three-Dimensional Structures Unresolved cited work

Reference 10

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Observation f2c9b4f2-fc50-4453-bc2d-7be1c31d576f · outbound

This paper cites Molecular contrastive learning of representations via graph neural networks.Nature Machine Intelligence , 4(3):279–287, March 2022.

Self-Supervised Learning for Ordered Three-Dimensional Structures Molecular contrastive learning of representations via graph neural networks.Nature Machine Intelligence , 4(3):279–287, March 2022

Reference 11

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Observation 0e77f294-90e7-4784-ac04-11d515848bc4 · outbound

This paper cites 3D infomax improves GNNs for molecular property prediction.

Self-Supervised Learning for Ordered Three-Dimensional Structures 3D infomax improves GNNs for molecular property prediction

Reference 12

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Observation b3e2f94c-8740-41b8-b168-f4cf6aebb04a · outbound

This paper cites Geometry-enhanced molecular representation learning for property prediction.

Self-Supervised Learning for Ordered Three-Dimensional Structures Geometry-enhanced molecular representation learning for property prediction

Reference 13

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Observation 9b5cd6f7-c4ef-484d-b0bb-34ee1cf29a6f · outbound

This paper cites Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching.

Self-Supervised Learning for Ordered Three-Dimensional Structures Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching

Reference 14

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Observation bab474a1-95b7-4b0e-944e-a76c3f7b82d6 · outbound

This paper cites Crystal diffusion variational autoencoder for periodic material generation.

Self-Supervised Learning for Ordered Three-Dimensional Structures Crystal diffusion variational autoencoder for periodic material generation

Reference 15

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Observation a6af1291-8224-4973-b872-d3b1020fe90a · outbound

This paper cites Crystal twins: Self-supervised learning for crystalline material property prediction, May 2022.

Self-Supervised Learning for Ordered Three-Dimensional Structures Crystal twins: Self-supervised learning for crystalline material property prediction, May 2022

Reference 16

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Observation 3c2b8ff0-c368-49f3-afdb-7a30f8fb8c3d · outbound

This paper cites Mehl, David Hicks, Cormac Toher, Ohad Levy, Robert M.

Self-Supervised Learning for Ordered Three-Dimensional Structures Mehl, David Hicks, Cormac Toher, Ohad Levy, Robert M

Reference 17

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Observation d9fe40cd-415e-4089-90cb-749b58c21c42 · outbound

This paper cites Mehl, Eric Gossett, Cormac Toher, Ohad Levy, Robert M.

Self-Supervised Learning for Ordered Three-Dimensional Structures Mehl, Eric Gossett, Cormac Toher, Ohad Levy, Robert M

Reference 18

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Observation 6c191640-3039-4c89-906c-923f9618f955 · outbound

This paper cites Howard, Joshua A.

Self-Supervised Learning for Ordered Three-Dimensional Structures Howard, Joshua A

Reference 19

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Observation dcb446fc-bdef-46d2-b3dc-754472ece592 · outbound

This paper cites Anderson, Jens Glaser, and Sharon C.

Self-Supervised Learning for Ordered Three-Dimensional Structures Anderson, Jens Glaser, and Sharon C

Reference 20

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Observation b5e754a5-2ef9-49de-9597-abd49978f243 · outbound

This paper cites Geometric Algebra Attention Networks for Small Point Clouds.

Self-Supervised Learning for Ordered Three-Dimensional Structures Geometric Algebra Attention Networks for Small Point Clouds

Reference 21

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Observation 6b40659f-82be-4951-a484-61d27aac38e3 · outbound

This paper cites Kingma and Max Welling.

Self-Supervised Learning for Ordered Three-Dimensional Structures Kingma and Max Welling

Reference 22

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Observation 31f76424-c015-40e4-a7f6-e81c3d9db369 · outbound

This paper cites Why does unsupervised pre-training help deep learning? page 36, 2010.

Self-Supervised Learning for Ordered Three-Dimensional Structures Why does unsupervised pre-training help deep learning? page 36, 2010

Reference 23

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Observation 87889a08-1661-424c-a194-bad3c3cda6c7 · outbound

This paper cites Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion.

Self-Supervised Learning for Ordered Three-Dimensional Structures Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion

Reference 24

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Observation 9e2551d9-0069-48b7-8162-31372f7d9da3 · outbound

This paper cites On lines and planes of closest fit to systems of points in space.The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science , 2(11):559–572, 1901.

Self-Supervised Learning for Ordered Three-Dimensional Structures On lines and planes of closest fit to systems of points in space.The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science , 2(11):559–572, 1901

Reference 25

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Observation be916f56-58dd-47e7-993b-39b9cdb036d1 · outbound

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Self-Supervised Learning for Ordered Three-Dimensional Structures Unresolved cited work

Reference 26

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Observation 5c2a15cc-0d97-4fa3-a830-93e1c0b055e1 · outbound

This paper cites Steinhardt, David R.

Self-Supervised Learning for Ordered Three-Dimensional Structures Steinhardt, David R

Reference 27

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Observation 9354a5e1-6229-4573-83e5-b3a638dbd8d5 · outbound

This paper cites Machine learning for crystal identification and discovery.

Self-Supervised Learning for Ordered Three-Dimensional Structures Machine learning for crystal identification and discovery

Reference 28

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Observation 6d0fffd9-c168-454b-b6a4-78ac0ddaca20 · outbound

This paper cites Revealing the role of liquid preordering in crystallisation of supercooled liquids.

Self-Supervised Learning for Ordered Three-Dimensional Structures Revealing the role of liquid preordering in crystallisation of supercooled liquids

Reference 29

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Observation 8bb6a903-0187-4db4-a86a-528b6e02b0eb · outbound

This paper cites Coifman and Stéphane Lafon.

Self-Supervised Learning for Ordered Three-Dimensional Structures Coifman and Stéphane Lafon

Reference 30

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a28b93db-c34c-403b-a1ac-c686c6746333 · outbound

This paper cites Variational Inference with Normalizing Flows.

Self-Supervised Learning for Ordered Three-Dimensional Structures Variational Inference with Normalizing Flows

Reference 31

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Source-reported events for the cited work

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Observation 5ca3c478-f6d4-44f7-a7f3-160f099cbcb1 · outbound

This paper cites Liquid–liquid phase separation in cellular signaling systems.

Self-Supervised Learning for Ordered Three-Dimensional Structures Liquid–liquid phase separation in cellular signaling systems

Reference 32

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 4748085d-ec50-4902-8f49-edb354787697 · outbound

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Self-Supervised Learning for Ordered Three-Dimensional Structures Unresolved cited work

Reference 33

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Observation 21cfcbab-edcc-45d5-af8c-9282d08d87a7 · outbound

This paper cites Nonclassical nucleation pathways in protein crystallization.Journal of Physics.

Self-Supervised Learning for Ordered Three-Dimensional Structures Nonclassical nucleation pathways in protein crystallization.Journal of Physics

Reference 34

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Observation bcd49c5a-4c74-4e1f-abdc-b90920e19097 · outbound

This paper cites A primer in BERTology: What we know about how BERT works.

Self-Supervised Learning for Ordered Three-Dimensional Structures A primer in BERTology: What we know about how BERT works

Reference 35

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raw_fallback, observed 2026-08-12T15:06:33.009381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:06:32.319484Z digest=sha256:97e8a042653094843c30ca3c292401bde78b15792d858ed3faf1b9b142c10fa0

Observation f8233f95-5697-4268-b826-313343a7ae25 · outbound

This paper cites Damasceno, Carolyn L.

Self-Supervised Learning for Ordered Three-Dimensional Structures Damasceno, Carolyn L

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:06:32.965649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:06:32.327893Z digest=sha256:71c96514a0ff7657ee5c37dc110381a3944b007fedbcf15f019a821a45ab33ba

Observation db2bd039-4b20-4e95-9986-c09e7122250d · outbound

This paper cites Unsupervised learning for local structure detection in colloidal systems.The Journal of Chemical Physics , 151(15):154901, October 2019.

Self-Supervised Learning for Ordered Three-Dimensional Structures Unsupervised learning for local structure detection in colloidal systems.The Journal of Chemical Physics , 151(15):154901, October 2019

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:06:32.936028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:06:32.333368Z digest=sha256:a2c9e7527010fa194570ef5403062ce82691595fb197c9a2fd0c1bba4573c245

Observation b3cc5af5-38db-48b3-8ce6-02a7ed892f65 · outbound

This paper cites Kapfer, Gerd E.

Self-Supervised Learning for Ordered Three-Dimensional Structures Kapfer, Gerd E

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:06:32.911111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:06:32.341145Z digest=sha256:a67105b5aae53d1609cac844899072ff0532ce046861d10404757dd1b2ed90c0

Observation a75a4e5a-1c94-4b6c-b419-809778a9b373 · outbound

This paper cites Dzugutov.

Self-Supervised Learning for Ordered Three-Dimensional Structures Dzugutov

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:06:32.884434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:06:32.347017Z digest=sha256:32951cd60fd5ab4fcb3148802066f87728cf1f26434bab8a5cb132f79f6be8e7

Observation 64d25160-6c6d-47cc-b801-6aaeb13aeed0 · outbound

This paper cites body-centered cubic.

Self-Supervised Learning for Ordered Three-Dimensional Structures body-centered cubic

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:06:32.847425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:06:32.353067Z digest=sha256:920aba2e82fbaf5b2e70054cd47072422aabd690ed52697b8de4362b09636ad1

Observation b0b7fc66-49fc-4491-a5cb-bf2aed704f7a · outbound

This paper cites This system is a control experiment: identical liquids should be difficult or impossible to distinguish to a significant degree.

Self-Supervised Learning for Ordered Three-Dimensional Structures This system is a control experiment: identical liquids should be difficult or impossible to distinguish to a significant degree

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:06:32.818044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:06:32.359839Z digest=sha256:75589ce52a777c2d2ae02af173d1eef0c674119e6a1985a682bd77376b06cf31

Observation 17b796f2-e297-44c0-b855-de303924f949 · outbound

This paper cites This models a simple phase transition between low-density and high-density disordered phases.

Self-Supervised Learning for Ordered Three-Dimensional Structures This models a simple phase transition between low-density and high-density disordered phases

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:06:32.788619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:06:32.367134Z digest=sha256:d5c3482a50b21ded4aef2153fd0b14d17b3f288a0de44f8766155e6397d2bac5

Observation b4b9a738-b3f9-4994-b48d-b370e8a0e1ba · outbound

This paper cites This models a simple disorder-order transition.

Self-Supervised Learning for Ordered Three-Dimensional Structures This models a simple disorder-order transition

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:06:32.759726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:06:32.374453Z digest=sha256:8f16e32ce288bff892e8c8f880120a1c0c578d35e914e0cb302d0a5e4a69305d

Observation af9a8b57-abc9-4fc0-85d2-ccacd0e1f745 · outbound

This paper cites This models a disorder-order transition to a complex ordered structure.

Self-Supervised Learning for Ordered Three-Dimensional Structures This models a disorder-order transition to a complex ordered structure

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:06:32.727252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:06:32.387042Z digest=sha256:188426c1e272b64edc7069dcf4c255d7eb57a3c591f0f04692b80cca41ec102b

Observation 1207c718-ce0e-4e04-bbf3-13ce2a829467 · outbound

This paper cites These solid structures are very similar, having identical representations when using nearest-neighbor graphs.

Self-Supervised Learning for Ordered Three-Dimensional Structures These solid structures are very similar, having identical representations when using nearest-neighbor graphs

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:06:32.699692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:06:32.392899Z digest=sha256:ac93d10c1bde2218bb29d499675dc5b329797a521ad699b067b82bf25e041a5d

Observation ecf7f794-8bd7-43ea-acc4-538072220653 · outbound

This paper cites Most methods developed to distinguish solid structures should be able to handle this baseline.

Self-Supervised Learning for Ordered Three-Dimensional Structures Most methods developed to distinguish solid structures should be able to handle this baseline

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:06:32.678904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T15:06:32.411287Z digest=sha256:736d599941c181f6dfdad833dab2a4fe4154d848baf96d02103633dd0b5a7fcf

Pith citing papers

No inbound Pith citation observations are available.